{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T05:48:34Z","timestamp":1793425714202,"version":"4.5.0"},"reference-count":192,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T00:00:00Z","timestamp":1691971200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T00:00:00Z","timestamp":1691971200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Transl Psychiatry"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>One of the most critical challenges in using noninvasive brain stimulation (NIBS) techniques for the treatment of psychiatric and neurologic disorders is inter- and intra-individual variability in response to NIBS. Response variations in previous findings suggest that the one-size-fits-all approach does not seem the most appropriate option for enhancing stimulation outcomes. While there is a growing body of evidence for the feasibility and effectiveness of individualized NIBS approaches, the optimal way to achieve this is yet to be determined. Transcranial electrical stimulation (tES) is one of the NIBS techniques showing promising results in modulating treatment outcomes in several psychiatric and neurologic disorders, but it faces the same challenge for individual optimization. With new computational and methodological advances, tES can be integrated with real-time functional magnetic resonance imaging (rtfMRI) to establish closed-loop tES-fMRI for individually optimized neuromodulation. Closed-loop tES-fMRI systems aim to optimize stimulation parameters based on minimizing differences between the model of the current brain state and the desired value to maximize the expected clinical outcome. The methodological space to optimize closed-loop tES fMRI for clinical applications includes (1) stimulation vs. data acquisition timing, (2) fMRI context (task-based or resting-state), (3) inherent brain oscillations, (4) dose-response function, (5) brain target trait and state and (6) optimization algorithm. Closed-loop tES-fMRI technology has several advantages over non-individualized or open-loop systems to reshape the future of neuromodulation with objective optimization in a clinically relevant context such as drug cue reactivity for substance use disorder considering both inter and intra-individual variations. Using multi-level brain and behavior measures as input and desired outcomes to individualize stimulation parameters provides a framework for designing personalized tES protocols in precision psychiatry.<\/jats:p>","DOI":"10.1038\/s41398-023-02565-5","type":"journal-article","created":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T04:01:46Z","timestamp":1692072106000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":128,"title":["Closing the loop between brain and electrical stimulation: towards precision neuromodulation treatments"],"prefix":"10.1038","volume":"13","author":[{"given":"Ghazaleh","family":"Soleimani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2207-5965","authenticated-orcid":false,"given":"Michael A.","family":"Nitsche","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Til Ole","family":"Bergmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Farzad","family":"Towhidkhah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ines R.","family":"Violante","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Romy","family":"Lorenz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2954-6421","authenticated-orcid":false,"given":"Rayus","family":"Kuplicki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7606-1745","authenticated-orcid":false,"given":"Aki","family":"Tsuchiyagaito","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Beni","family":"Mulyana","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmad","family":"Mayeli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peyman","family":"Ghobadi-Azbari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohsen","family":"Mosayebi-Samani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4889-9700","authenticated-orcid":false,"given":"Anna","family":"Zilverstand","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0825-3606","authenticated-orcid":false,"given":"Martin P.","family":"Paulus","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marom","family":"Bikson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6902-8798","authenticated-orcid":false,"given":"Hamed","family":"Ekhtiari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,8,14]]},"reference":[{"key":"2565_CR1","doi-asserted-by":"crossref","first-page":"560","DOI":"10.4172\/2153-2435.1000560","volume":"8","author":"K Brake","year":"2017","unstructured":"Brake K, Gumireddy A, Tiwari A, Chauhan H, Kumari D. In vivo studies for drug development via oral delivery: challenges, animal models and techniques. Pharm Anal Acta. 2017;8:560.","journal-title":"Pharm Anal Acta"},{"key":"2565_CR2","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/0928-0987(95)00012-3","volume":"3","author":"M Rudin","year":"1995","unstructured":"Rudin M, Beckmann N, Mir A, Sauter A. In vivo magnetic resonance imaging and spectroscopy in pharmacological research: assessment of morphological, physiological and metabolic effects of drugs. Eur J Pharm Sci. 1995;3:255\u201364.","journal-title":"Eur J Pharm Sci"},{"key":"2565_CR3","first-page":"154","volume":"20","author":"N Beckmann","year":"2007","unstructured":"Beckmann N, Kneuer R, Gremlich HU, Karmouty\u2010Quintana H, Bl\u00e9 FX, M\u00fcller M. In vivo mouse imaging and spectroscopy in drug discovery. NMR in biomedicine: an international journal devoted to the development and application of magnetic resonance. vivo. 2007;20:154\u201385.","journal-title":"vivo"},{"key":"2565_CR4","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1038\/nrd1606","volume":"4","author":"LI Zon","year":"2005","unstructured":"Zon LI, Peterson RT. In vivo drug discovery in the zebrafish. Nat Rev Drug Discov. 2005;4:35\u201344.","journal-title":"Nat Rev Drug Discov"},{"key":"2565_CR5","doi-asserted-by":"crossref","first-page":"1421","DOI":"10.1016\/S1359-6446(05)03632-9","volume":"10","author":"S Whitebread","year":"2005","unstructured":"Whitebread S, Hamon J, Bojanic D, Urban L. Keynote review: in vitro safety pharmacology profiling: an essential tool for successful drug development. Drug Discov today. 2005;10:1421\u201333.","journal-title":"Drug Discov today"},{"key":"2565_CR6","doi-asserted-by":"crossref","first-page":"2080","DOI":"10.1038\/sj.npp.1301652","volume":"33","author":"SJ Mathew","year":"2008","unstructured":"Mathew SJ, Manji HK, Charney DS. Novel drugs and therapeutic targets for severe mood disorders. Neuropsychopharmacology 2008;33:2080\u201392.","journal-title":"Neuropsychopharmacology"},{"key":"2565_CR7","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/S0165-6147(00)01584-4","volume":"22","author":"GC Terstappen","year":"2001","unstructured":"Terstappen GC, Reggiani A. In silico research in drug discovery. Trends Pharmacol Sci. 2001;22:23\u20136.","journal-title":"Trends Pharmacol Sci"},{"key":"2565_CR8","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.ddtec.2004.10.002","volume":"1","author":"A Rostami-Hodjegan","year":"2004","unstructured":"Rostami-Hodjegan A, Tucker G. \u2018In silico\u2019simulations to assess the \u2018in vivo\u2019consequences of \u2018in vitro\u2019metabolic drug\u2013drug interactions. Drug Discov Today: Technol. 2004;1:441\u20138.","journal-title":"Drug Discov Today: Technol"},{"key":"2565_CR9","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.cbi.2006.12.006","volume":"171","author":"I Kapetanovic","year":"2008","unstructured":"Kapetanovic I. Computer-aided drug discovery and development (CADDD): in silico-chemico-biological approach. Chem-Biol Interact. 2008;171:165\u201376.","journal-title":"Chem-Biol Interact"},{"key":"2565_CR10","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1176\/appi.ajp.2014.14020138","volume":"171","author":"TR Insel","year":"2014","unstructured":"Insel TR. The NIMH research domain criteria (RDoC) project: precision medicine for psychiatry. Am J psychiatry. 2014;171:395\u20137.","journal-title":"Am J psychiatry"},{"key":"2565_CR11","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1097\/WCO.0000000000000342","volume":"29","author":"A Karabanov","year":"2016","unstructured":"Karabanov A, Thielscher A, Siebner HR. Transcranial brain stimulation: closing the loop between brain and stimulation. Curr Opin Neurol. 2016;29:397.","journal-title":"Curr Opin Neurol"},{"key":"2565_CR12","doi-asserted-by":"crossref","first-page":"2108","DOI":"10.3389\/fpsyg.2018.02108","volume":"9","author":"TO Bergmann","year":"2018","unstructured":"Bergmann TO. Brain state-dependent brain stimulation. Front Psychol. 2018;9:2108.","journal-title":"Front Psychol"},{"key":"2565_CR13","doi-asserted-by":"crossref","unstructured":"Mart\u00ednez S, Garc\u00eda-Violini D, Belluscio M, Piriz J, S\u00e1nchez-Pe\u00f1a R. Dynamical models in neuroscience from a closed-loop control perspective. IEEE Rev Biomed Eng 2022;16:706\u2013721.","DOI":"10.1109\/RBME.2022.3180559"},{"key":"2565_CR14","doi-asserted-by":"crossref","unstructured":"Huss R. Biomarkers. Translational regenerative medicine: Elsevier; 2015. p. 235\u201341.","DOI":"10.1016\/B978-0-12-410396-2.00019-0"},{"key":"2565_CR15","doi-asserted-by":"crossref","first-page":"1696","DOI":"10.1038\/s41591-021-01480-w","volume":"27","author":"KW Scangos","year":"2021","unstructured":"Scangos KW, Khambhati AN, Daly PM, Makhoul GS, Sugrue LP, Zamanian H, et al. Closed-loop neuromodulation in an individual with treatment-resistant depression. Nat Med. 2021;27:1696\u2013700.","journal-title":"Nat Med"},{"key":"2565_CR16","doi-asserted-by":"crossref","first-page":"314","DOI":"10.3389\/fneur.2019.00314","volume":"10","author":"F Hell","year":"2019","unstructured":"Hell F, Palleis C, Mehrkens JH, Koeglsperger T, B\u00f6tzel K. Deep brain stimulation programming 2.0: future perspectives for target identification and adaptive closed loop stimulation. Front Neurol. 2019;10:314.","journal-title":"Front Neurol"},{"key":"2565_CR17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-016-0001-8","volume":"6","author":"W Lee","year":"2016","unstructured":"Lee W, Kim H-C, Jung Y, Chung YA, Song I-U, Lee J-H, et al. Transcranial focused ultrasound stimulation of human primary visual cortex. Sci Rep. 2016;6:1\u201312.","journal-title":"Sci Rep"},{"key":"2565_CR18","doi-asserted-by":"crossref","first-page":"366","DOI":"10.3389\/fnhum.2020.00366","volume":"14","author":"G Zarubin","year":"2020","unstructured":"Zarubin G, Gundlach C, Nikulin V, Villringer A, Bogdan M. Transient amplitude modulation of alpha-band oscillations by short-time intermittent closed-loop tACS. Front Hum Neurosci. 2020;14:366.","journal-title":"Front Hum Neurosci"},{"key":"2565_CR19","doi-asserted-by":"crossref","first-page":"867","DOI":"10.3389\/fnins.2018.00867","volume":"12","author":"AP Jones","year":"2018","unstructured":"Jones AP, Choe J, Bryant NB, Robinson CS, Ketz NA, Skorheim SW, et al. Dose-dependent effects of closed-loop tACS delivered during slow-wave oscillations on memory consolidation. Front Neurosci. 2018;12:867.","journal-title":"Front Neurosci"},{"key":"2565_CR20","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1016\/j.brs.2022.01.016","volume":"15","author":"AE Tervo","year":"2022","unstructured":"Tervo AE, Nieminen JO, Lioumis P, Metsomaa J, Souza VH, Sinisalo H, et al. Closed-loop optimization of transcranial magnetic stimulation with electroencephalography feedback. Brain Stimul. 2022;15:523\u2013531.","journal-title":"Brain Stimul"},{"key":"2565_CR21","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/j.brs.2022.01.008","volume":"15","author":"G Soleimani","year":"2022","unstructured":"Soleimani G, Kupliki R, Bodurka J, Paulus MP, Ekhtiari H. How structural and functional MRI can inform dual-site tACS parameters: A case study in a clinical population and its pragmatic implications. Brain Stimul. 2022;15:337\u201351.","journal-title":"Brain Stimul"},{"key":"2565_CR22","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1176\/appi.ajp.2019.19070720","volume":"177","author":"EJ Cole","year":"2020","unstructured":"Cole EJ, Stimpson KH, Bentzley BS, Gulser M, Cherian K, Tischler C, et al. Stanford accelerated intelligent neuromodulation therapy for treatment-resistant depression. Am J Psychiatry. 2020;177:716\u201326.","journal-title":"Am J Psychiatry"},{"key":"2565_CR23","doi-asserted-by":"crossref","first-page":"e2667","DOI":"10.1002\/brb3.2667","volume":"12","author":"B Mulyana","year":"2022","unstructured":"Mulyana B, Tsuchiyagaito A, Misaki M, Kuplicki R, Smith J, Soleimani G, et al. Online closed\u2010loop real\u2010time tES\u2010fMRI for brain modulation: a: A technical report. Brain Behav. 2022;12:e2667.","journal-title":"Brain Behav"},{"key":"2565_CR24","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1016\/j.neuroimage.2013.03.033","volume":"76","author":"J Sulzer","year":"2013","unstructured":"Sulzer J, Haller S, Scharnowski F, Weiskopf N, Birbaumer N, Blefari ML, et al. Real-time fMRI neurofeedback: progress and challenges. Neuroimage 2013;76:386\u201399.","journal-title":"Neuroimage"},{"key":"2565_CR25","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1016\/j.drudis.2017.11.012","volume":"23","author":"O Carmichael","year":"2018","unstructured":"Carmichael O, Schwarz AJ, Chatham CH, Scott D, Turner JA, Upadhyay J, et al. The role of fMRI in drug development. Drug Discov today. 2018;23:333\u201348.","journal-title":"Drug Discov today"},{"key":"2565_CR26","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1038\/nrd.2018.222","volume":"18","author":"AD Krystal","year":"2019","unstructured":"Krystal AD, Pizzagalli DA, Mathew SJ, Sanacora G, Keefe R, Song A, et al. The first implementation of the NIMH FAST-FAIL approach to psychiatric drug development. Nat Rev Drug Discov. 2019;18:82.","journal-title":"Nat Rev Drug Discov"},{"key":"2565_CR27","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1016\/j.nicl.2016.10.007","volume":"12","author":"L Helpman","year":"2016","unstructured":"Helpman L, Marin M-F, Papini S, Zhu X, Sullivan GM, Schneier F, et al. Neural changes in extinction recall following prolonged exposure treatment for PTSD: a longitudinal fMRI study. Neuroimage Clin. 2016;12:715\u201323.","journal-title":"Neuroimage Clin"},{"key":"2565_CR28","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.neubiorev.2019.06.029","volume":"104","author":"M Pic\u00f3-P\u00e9rez","year":"2019","unstructured":"Pic\u00f3-P\u00e9rez M, Alemany-Navarro M, Dunsmoor J, Radua J, Albajes-Eizagirre A, Vervliet B, et al. Common and distinct neural correlates of fear extinction and cognitive reappraisal: a meta-analysis of fMRI studies. Neurosci Biobehav Rev. 2019;104:102\u201315.","journal-title":"Neurosci Biobehav Rev"},{"key":"2565_CR29","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.pnpbp.2017.06.001","volume":"79","author":"M Pic\u00f3-P\u00e9rez","year":"2017","unstructured":"Pic\u00f3-P\u00e9rez M, Radua J, Steward T, Mench\u00f3n JM, Soriano-Mas C. Emotion regulation in mood and anxiety disorders: a meta-analysis of fMRI cognitive reappraisal studies. Prog Neuro-Psychopharmacol Biol Psychiatry. 2017;79:96\u2013104.","journal-title":"Prog Neuro-Psychopharmacol Biol Psychiatry"},{"key":"2565_CR30","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1016\/j.neuroimage.2019.07.008","volume":"200","author":"F Brandl","year":"2019","unstructured":"Brandl F, Corbi ZLH, Bratec SM, Sorg C. Cognitive reward control recruits medial and lateral frontal cortices, which are also involved in cognitive emotion regulation: A coordinate-based meta-analysis of fMRI studies. Neuroimage 2019;200:659\u201373.","journal-title":"Neuroimage"},{"key":"2565_CR31","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41398-018-0220-9","volume":"8","author":"CA Hanlon","year":"2018","unstructured":"Hanlon CA, Dowdle LT, Gibson NB, Li X, Hamilton S, Canterberry M, et al. Cortical substrates of cue-reactivity in multiple substance dependent populations: transdiagnostic relevance of the medial prefrontal cortex. Transl psychiatry. 2018;8:1\u20138.","journal-title":"Transl psychiatry"},{"key":"2565_CR32","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1002\/hbm.20326","volume":"28","author":"SM LaConte","year":"2007","unstructured":"LaConte SM, Peltier SJ, Hu XP. Real\u2010time fMRI using brain\u2010state classification. Hum Brain Mapp 2007;28:1033\u201344.","journal-title":"Hum Brain Mapp"},{"key":"2565_CR33","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1016\/j.neuroimage.2010.06.052","volume":"56","author":"SM LaConte","year":"2011","unstructured":"LaConte SM. Decoding fMRI brain states in real-time. Neuroimage 2011;56:440\u201354.","journal-title":"Neuroimage"},{"key":"2565_CR34","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1016\/j.neuroimage.2017.12.071","volume":"172","author":"RT Thibault","year":"2018","unstructured":"Thibault RT, MacPherson A, Lifshitz M, Roth RR, Raz A. Neurofeedback with fMRI: a critical systematic review. Neuroimage 2018;172:786\u2013807.","journal-title":"Neuroimage"},{"key":"2565_CR35","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1016\/j.neubiorev.2020.12.020","volume":"121","author":"E Dudek","year":"2021","unstructured":"Dudek E, Dodell-Feder D. The efficacy of real-time functional magnetic resonance imaging neurofeedback for psychiatric illness: A meta-analysis of brain and behavioral outcomes. Neurosci Biobehav Rev. 2021;121:291\u2013306.","journal-title":"Neurosci Biobehav Rev"},{"key":"2565_CR36","doi-asserted-by":"crossref","unstructured":"Pindi P, Houenou J, Piguet C, Favre P. Real-time fMRI neurofeedback as a new treatment for psychiatric disorders: a meta-analysis. Prog Neuro-Psychopharmacol Biol Psychiatry 2022;119:110605.","DOI":"10.1016\/j.pnpbp.2022.110605"},{"key":"2565_CR37","doi-asserted-by":"crossref","first-page":"118207","DOI":"10.1016\/j.neuroimage.2021.118207","volume":"237","author":"A Haugg","year":"2021","unstructured":"Haugg A, Renz FM, Nicholson AA, Lor C, G\u00f6tzendorfer SJ, Sladky R, et al. Predictors of real-time fMRI neurofeedback performance and improvement\u2013a machine learning mega-analysis. Neuroimage 2021;237:118207.","journal-title":"Neuroimage"},{"key":"2565_CR38","doi-asserted-by":"crossref","unstructured":"Tsuchiyagaito A, Misaki M, Kirlic N, Yu X, S\u00e1nchez SM, Cochran G, et al. Real-time fMRI functional connectivity neurofeedback reducing repetitive negative thinking in depression: a double-blind, randomized, sham-controlled proof-of-concept trial. Psychother Psychosom 2023;92:87\u2013100.","DOI":"10.1159\/000528377"},{"key":"2565_CR39","doi-asserted-by":"crossref","first-page":"65","DOI":"10.3389\/fnhum.2019.00065","volume":"13","author":"S Karch","year":"2019","unstructured":"Karch S, Paolini M, Gschwendtner S, Jeanty H, Reckenfelderb\u00e4umer A, Yaseen O, et al. Real-time fMRI neurofeedback in patients with tobacco use disorder during smoking cessation: functional differences and implications of the first training session in regard to future abstinence or relapse. Front Hum Neurosci. 2019;13:65.","journal-title":"Front Hum Neurosci"},{"key":"2565_CR40","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1002\/hbm.21427","volume":"34","author":"S Ruiz","year":"2013","unstructured":"Ruiz S, Lee S, Soekadar SR, Caria A, Veit R, Kircher T, et al. Acquired self\u2010control of insula cortex modulates emotion recognition and brain network connectivity in schizophrenia. Hum Brain Mapp. 2013;34:200\u201312.","journal-title":"Hum Brain Mapp"},{"key":"2565_CR41","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1016\/j.neuron.2017.07.011","volume":"95","author":"EM Gordon","year":"2017","unstructured":"Gordon EM, Laumann TO, Gilmore AW, Newbold DJ, Greene DJ, Berg JJ, et al. Precision functional mapping of individual human brains. Neuron 2017;95:791\u2013807.e7.","journal-title":"Neuron"},{"key":"2565_CR42","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.cobeha.2020.12.013","volume":"40","author":"AW Gilmore","year":"2021","unstructured":"Gilmore AW, Nelson SM, McDermott KB. Precision functional mapping of human memory systems. Curr Opin Behav Sci. 2021;40:52\u20137.","journal-title":"Curr Opin Behav Sci"},{"key":"2565_CR43","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1093\/ijnp\/pyx059","volume":"20","author":"T Yamada","year":"2017","unstructured":"Yamada T, Hashimoto R-I, Yahata N, Ichikawa N, Yoshihara Y, Okamoto Y, et al. Resting-state functional connectivity-based biomarkers and functional MRI-based neurofeedback for psychiatric disorders: a challenge for developing theranostic biomarkers. Int J Neuropsychopharmacol. 2017;20:769\u201381.","journal-title":"Int J Neuropsychopharmacol"},{"key":"2565_CR44","doi-asserted-by":"crossref","first-page":"e02089","DOI":"10.1002\/brb3.2089","volume":"11","author":"A Sadraee","year":"2021","unstructured":"Sadraee A, Paulus M, Ekhtiari H. fMRI as an outcome measure in clinical trials: a systematic review in clinicaltrials. gov. Brain Behav. 2021;11:e02089.","journal-title":"Brain Behav"},{"key":"2565_CR45","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.neuroimage.2012.10.082","volume":"66","author":"MD Fox","year":"2013","unstructured":"Fox MD, Liu H, Pascual-Leone A. Identification of reproducible individualized targets for treatment of depression with TMS based on intrinsic connectivity. Neuroimage 2013;66:151\u201360.","journal-title":"Neuroimage"},{"key":"2565_CR46","doi-asserted-by":"crossref","first-page":"306","DOI":"10.3390\/brainsci11030306","volume":"11","author":"LR Cherney","year":"2021","unstructured":"Cherney LR, Babbitt EM, Wang X, Pitts LL. Extended fMRI-guided anodal and cathodal transcranial direct current stimulation targeting perilesional areas in post-stroke aphasia: a pilot randomized clinical trial. Brain Sci. 2021;11:306.","journal-title":"Brain Sci"},{"key":"2565_CR47","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1001\/jamapsychiatry.2020.3794","volume":"78","author":"RF Cash","year":"2021","unstructured":"Cash RF, Cocchi L, Lv J, Fitzgerald PB, Zalesky A. Functional magnetic resonance imaging\u2013guided personalization of transcranial magnetic stimulation treatment for depression. JAMA Psychiatry. 2021;78:337\u20139.","journal-title":"JAMA Psychiatry"},{"key":"2565_CR48","doi-asserted-by":"crossref","first-page":"117311","DOI":"10.1016\/j.neuroimage.2020.117311","volume":"223","author":"P Sehatpour","year":"2020","unstructured":"Sehatpour P, Dond\u00e9 C, Hoptman MJ, Kreither J, Adair D, Dias E, et al. Network-level mechanisms underlying effects of transcranial direct current stimulation (tDCS) on visuomotor learning. Neuroimage 2020;223:117311.","journal-title":"Neuroimage"},{"key":"2565_CR49","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.neuropsychologia.2016.09.012","volume":"93","author":"GP Hallam","year":"2016","unstructured":"Hallam GP, Whitney C, Hymers M, Gouws AD, Jefferies E. Charting the effects of TMS with fMRI: Modulation of cortical recruitment within the distributed network supporting semantic control. Neuropsychologia 2016;93:40\u201352.","journal-title":"Neuropsychologia"},{"key":"2565_CR50","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12984-019-0529-5","volume":"16","author":"N Sandran","year":"2019","unstructured":"Sandran N, Hillier S, Hordacre B. Strategies to implement and monitor in-home transcranial electrical stimulation in neurological and psychiatric patient populations: a systematic review. J Neuroeng Rehabil. 2019;16:1\u201313.","journal-title":"J Neuroeng Rehabil"},{"key":"2565_CR51","doi-asserted-by":"crossref","first-page":"e18","DOI":"10.1093\/brain\/awx379","volume":"141","author":"NR Williams","year":"2018","unstructured":"Williams NR, Sudheimer KD, Bentzley BS, Pannu J, Stimpson KH, Duvio D, et al. High-dose spaced theta-burst TMS as a rapid-acting antidepressant in highly refractory depression. Brain 2018;141:e18.","journal-title":"Brain"},{"key":"2565_CR52","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1016\/j.brs.2018.12.695","volume":"12","author":"T Barbour","year":"2019","unstructured":"Barbour T, Lee E, Ellard K, Camprodon J. Individualized TMS target selection for MDD: Clinical outcomes, mechanisms of action and predictors of response. Brain Stimul. 2019;12:516.","journal-title":"Brain Stimul"},{"key":"2565_CR53","doi-asserted-by":"crossref","first-page":"1361","DOI":"10.1089\/neu.2018.5889","volume":"36","author":"SH Siddiqi","year":"2019","unstructured":"Siddiqi SH, Trapp NT, Hacker CD, Laumann TO, Kandala S, Hong X, et al. Repetitive transcranial magnetic stimulation with resting-state network targeting for treatment-resistant depression in traumatic brain injury: a randomized, controlled, double-blinded pilot study. J Neurotrauma. 2019;36:1361\u201374.","journal-title":"J Neurotrauma"},{"key":"2565_CR54","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1176\/appi.neuropsych.18100230","volume":"31","author":"SH Siddiqi","year":"2019","unstructured":"Siddiqi SH, Trapp NT, Shahim P, Hacker CD, Laumann TO, Kandala S, et al. Individualized connectome-targeted transcranial magnetic stimulation for neuropsychiatric sequelae of repetitive traumatic brain injury in a retired NFL player. J Neuropsychiatry Clin Neurosci. 2019;31:254\u201363.","journal-title":"J Neuropsychiatry Clin Neurosci"},{"key":"2565_CR55","doi-asserted-by":"crossref","first-page":"92","DOI":"10.3389\/fncel.2016.00092","volume":"10","author":"C Zrenner","year":"2016","unstructured":"Zrenner C, Belardinelli P, M\u00fcller-Dahlhaus F, Ziemann U. Closed-loop neuroscience and non-invasive brain stimulation: a tale of two loops. Front Cell Neurosci. 2016;10:92.","journal-title":"Front Cell Neurosci"},{"key":"2565_CR56","doi-asserted-by":"crossref","first-page":"1123","DOI":"10.1007\/s10545-018-0181-4","volume":"41","author":"T Reed","year":"2018","unstructured":"Reed T, Kadosh RC. Transcranial electrical stimulation (tES) mechanisms and its effects on cortical excitability and connectivity. J Inherit Metab Dis. 2018;41:1123\u201330.","journal-title":"J Inherit Metab Dis"},{"key":"2565_CR57","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.brs.2009.03.007","volume":"2","author":"T Radman","year":"2009","unstructured":"Radman T, Ramos RL, Brumberg JC, Bikson M. Role of cortical cell type and morphology in subthreshold and suprathreshold uniform electric field stimulation in vitro. Brain Stimul. 2009;2:215\u201328. e3.","journal-title":"Brain Stimul"},{"key":"2565_CR58","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1016\/j.brs.2008.06.004","volume":"1","author":"MA Nitsche","year":"2008","unstructured":"Nitsche MA, Cohen LG, Wassermann EM, Priori A, Lang N, Antal A, et al. Transcranial direct current stimulation: state of the art 2008. Brain Stimul. 2008;1:206\u201323.","journal-title":"Brain Stimul"},{"key":"2565_CR59","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1177\/1073858410386614","volume":"17","author":"CJ Stagg","year":"2011","unstructured":"Stagg CJ, Nitsche MA. Physiological basis of transcranial direct current stimulation. Neuroscientist. 2011;17:37\u201353.","journal-title":"Neuroscientist"},{"key":"2565_CR60","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1027\/1016-9040\/a000242","volume":"21","author":"W Paulus","year":"2016","unstructured":"Paulus W, Nitsche MA, Antal A. Application of transcranial electric stimulation (tDCS, tACS, tRNS): from motor-evoked potentials towards modulation of behaviour. Eur Psychol. 2016;21:4.","journal-title":"Eur Psychol"},{"key":"2565_CR61","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41467-017-02088-w","volume":"9","author":"A Liu","year":"2018","unstructured":"Liu A, V\u00f6r\u00f6slakos M, Kronberg G, Henin S, Krause MR, Huang Y, et al. Immediate neurophysiological effects of transcranial electrical stimulation. Nat Commun. 2018;9:1\u201312.","journal-title":"Nat Commun"},{"key":"2565_CR62","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.neubiorev.2017.06.015","volume":"85","author":"F Yavari","year":"2018","unstructured":"Yavari F, Jamil A, Samani MM, Vidor LP, Nitsche MA. Basic and functional effects of transcranial electrical stimulation (tES)\u2014an introduction. Neurosci Biobehav Rev. 2018;85:81\u201392.","journal-title":"Neurosci Biobehav Rev"},{"key":"2565_CR63","first-page":"181","volume":"9","author":"LM Li","year":"2015","unstructured":"Li LM, Uehara K, Hanakawa T. The contribution of interindividual factors to variability of response in transcranial direct current stimulation studies. Front Cell Neurosci. 2015;9:181.","journal-title":"Front Cell Neurosci"},{"key":"2565_CR64","doi-asserted-by":"crossref","first-page":"213","DOI":"10.3389\/fpsyg.2019.00213","volume":"10","author":"AN Karabanov","year":"2019","unstructured":"Karabanov AN, Saturnino GB, Thielscher A, Siebner HR. Can transcranial electrical stimulation localize brain function? Front Psychol. 2019;10:213.","journal-title":"Front Psychol"},{"key":"2565_CR65","doi-asserted-by":"crossref","first-page":"1950","DOI":"10.1002\/hbm.24908","volume":"41","author":"Z Esmaeilpour","year":"2020","unstructured":"Esmaeilpour Z, Shereen AD, Ghobadi\u2010Azbari P, Datta A, Woods AJ, Ironside M, et al. Methodology for tDCS integration with fMRI. Hum Brain Mapp. 2020;41:1950\u201367.","journal-title":"Hum Brain Mapp"},{"key":"2565_CR66","doi-asserted-by":"crossref","first-page":"110149","DOI":"10.1016\/j.pnpbp.2020.110149","volume":"107","author":"P Ghobadi-Azbari","year":"2021","unstructured":"Ghobadi-Azbari P, Jamil A, Yavari F, Esmaeilpour Z, Malmir N, Mahdavifar-Khayati R, et al. fMRI and transcranial electrical stimulation (tES): A systematic review of parameter space and outcomes. Prog Neuro-Psychopharmacol Biol Psychiatry. 2021;107:110149.","journal-title":"Prog Neuro-Psychopharmacol Biol Psychiatry"},{"key":"2565_CR67","doi-asserted-by":"crossref","first-page":"435","DOI":"10.3389\/fnhum.2013.00435","volume":"7","author":"C Saiote","year":"2013","unstructured":"Saiote C, Turi Z, Paulus W, Antal A. Combining functional magnetic resonance imaging with transcranial electrical stimulation. Front Hum Neurosci. 2013;7:435.","journal-title":"Front Hum Neurosci"},{"key":"2565_CR68","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.neuroimage.2016.02.012","volume":"140","author":"TO Bergmann","year":"2016","unstructured":"Bergmann TO, Karabanov A, Hartwigsen G, Thielscher A, Siebner HR. Combining non-invasive transcranial brain stimulation with neuroimaging and electrophysiology: current approaches and future perspectives. Neuroimage 2016;140:4\u201319.","journal-title":"Neuroimage"},{"key":"2565_CR69","doi-asserted-by":"crossref","first-page":"488","DOI":"10.1016\/j.brs.2021.02.019","volume":"14","author":"F Gregersen","year":"2021","unstructured":"Gregersen F, G\u00f6ksu C, Schaefers G, Xue R, Thielscher A, Hanson LG. Safety evaluation of a new setup for transcranial electric stimulation during magnetic resonance imaging. Brain Stimu. 2021;14:488\u2013497.","journal-title":"Brain Stimu"},{"key":"2565_CR70","doi-asserted-by":"crossref","first-page":"596","DOI":"10.1038\/s41596-021-00664-5","volume":"17","author":"H Ekhtiari","year":"2022","unstructured":"Ekhtiari H, Ghobadi-Azbari P, Thielscher A, Antal A, Li LM, Shereen AD, et al. A checklist for assessing the methodological quality of concurrent tES-fMRI studies (ContES checklist): a consensus study and statement. Nat Protoc. 2022;17:596\u2013617.","journal-title":"Nat Protoc"},{"key":"2565_CR71","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.brs.2019.10.004","volume":"13","author":"C Evans","year":"2020","unstructured":"Evans C, Bachmann C, Lee JS, Gregoriou E, Ward N, Bestmann S. Dose-controlled tDCS reduces electric field intensity variability at a cortical target site. Brain Stimul. 2020;13:125\u201336.","journal-title":"Brain Stimul"},{"key":"2565_CR72","unstructured":"Chaudhari KO. Closed-loop non-invasive brain stimulation and recording solution. 2018 http:\/\/www.lib.ncsu.edu\/resolver\/1840.20\/36553."},{"key":"2565_CR73","doi-asserted-by":"crossref","first-page":"877","DOI":"10.3389\/fnins.2018.00877","volume":"12","author":"F Mansouri","year":"2018","unstructured":"Mansouri F, Fettes P, Schulze L, Giacobbe P, Zariffa J, Downar J. A real-time phase-locking system for non-invasive brain stimulation. Front Neurosci. 2018;12:877.","journal-title":"Front Neurosci"},{"key":"2565_CR74","doi-asserted-by":"crossref","unstructured":"Frohlich F, Townsend L. Closed-loop transcranial alternating current stimulation: towards personalized non-invasive brain stimulation for the treatment of psychiatric illnesses. Curr Behav Neurosci Rep 2021;8:1\u20137.","DOI":"10.1007\/s40473-021-00227-8"},{"key":"2565_CR75","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.tics.2017.01.006","volume":"21","author":"R Lorenz","year":"2017","unstructured":"Lorenz R, Hampshire A, Leech R. Neuroadaptive Bayesian optimization and hypothesis testing. Trends Cogn Sci. 2017;21:155\u201367.","journal-title":"Trends Cogn Sci"},{"key":"2565_CR76","doi-asserted-by":"crossref","unstructured":"Thut G, Pascual-Leone A. Integrating TMS with EEG: how and what for? Springer; 2010.","DOI":"10.1007\/s10548-009-0128-z"},{"key":"2565_CR77","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1016\/j.clinph.2017.01.003","volume":"128","author":"G Thut","year":"2017","unstructured":"Thut G, Bergmann TO, Fr\u00f6hlich F, Soekadar SR, Brittain J-S, Valero-Cabr\u00e9 A, et al. Guiding transcranial brain stimulation by EEG\/MEG to interact with ongoing brain activity and associated functions: a position paper. Clin Neurophysiol. 2017;128:843\u201357.","journal-title":"Clin Neurophysiol"},{"key":"2565_CR78","doi-asserted-by":"crossref","first-page":"753","DOI":"10.1109\/TBME.2011.2109715","volume":"60","author":"LL Chen","year":"2011","unstructured":"Chen LL, Madhavan R, Rapoport BI, Anderson WS. Real-time brain oscillation detection and phase-locked stimulation using autoregressive spectral estimation and time-series forward prediction. IEEE Trans Biomed Eng. 2011;60:753\u201362.","journal-title":"IEEE Trans Biomed Eng"},{"key":"2565_CR79","doi-asserted-by":"crossref","first-page":"2127","DOI":"10.1016\/j.cub.2016.06.044","volume":"26","author":"C Lustenberger","year":"2016","unstructured":"Lustenberger C, Boyle MR, Alagapan S, Mellin JM, Vaughn BV, Fr\u00f6hlich F. Feedback-controlled transcranial alternating current stimulation reveals a functional role of sleep spindles in motor memory consolidation. Curr Biol. 2016;26:2127\u201336.","journal-title":"Curr Biol"},{"key":"2565_CR80","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.schres.2020.04.003","volume":"221","author":"F Fr\u00f6hlich","year":"2020","unstructured":"Fr\u00f6hlich F, Lustenberger C. Neuromodulation of sleep rhythms in schizophrenia: towards the rational design of non-invasive brain stimulation. Schizophr Res. 2020;221:71\u201380.","journal-title":"Schizophr Res"},{"key":"2565_CR81","doi-asserted-by":"crossref","first-page":"7314","DOI":"10.1523\/JNEUROSCI.0273-18.2018","volume":"38","author":"N Ketz","year":"2018","unstructured":"Ketz N, Jones AP, Bryant NB, Clark VP, Pilly PK. Closed-loop slow-wave tACS improves sleep-dependent long-term memory generalization by modulating endogenous oscillations. J Neurosci. 2018;38:7314\u201326.","journal-title":"J Neurosci"},{"key":"2565_CR82","doi-asserted-by":"crossref","first-page":"204","DOI":"10.3390\/brainsci8120204","volume":"8","author":"CS Robinson","year":"2018","unstructured":"Robinson CS, Bryant NB, Maxwell JW, Jones AP, Robert B, Lamphere M, et al. The benefits of closed-Loop transcranial alternating current stimulation on subjective sleep quality. Brain Sci. 2018;8:204.","journal-title":"Brain Sci"},{"key":"2565_CR83","doi-asserted-by":"crossref","unstructured":"Boyle MR, Fr\u00f6hlich F, editors. EEG feedback-controlled transcranial alternating current stimulation. In: 2013 6th International IEEE\/EMBS Conference on Neural Engineering (NER); 2013:140\u2013143.","DOI":"10.1109\/NER.2013.6695891"},{"key":"2565_CR84","doi-asserted-by":"crossref","first-page":"366","DOI":"10.3389\/fnhum.2020.00366","volume":"14","author":"G Zarubin","year":"2020","unstructured":"Zarubin G, Gundlach C, Nikulin V, Villringer A, Bogdan M. Transient amplitude modulation of alpha-band oscillations by short-time intermittent closed-loop tACS. Front Hum Neurosci. 2020;14:366.","journal-title":"Front Hum Neurosci"},{"key":"2565_CR85","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1016\/j.neuroimage.2018.10.025","volume":"185","author":"N Gebodh","year":"2019","unstructured":"Gebodh N, Esmaeilpour Z, Adair D, Chelette K, Dmochowski J, Woods AJ, et al. Inherent physiological artifacts in EEG during tDCS. Neuroimage 2019;185:408\u201324.","journal-title":"Neuroimage"},{"key":"2565_CR86","doi-asserted-by":"crossref","first-page":"401","DOI":"10.3389\/fnins.2017.00401","volume":"11","author":"F Mansouri","year":"2017","unstructured":"Mansouri F, Dunlop K, Giacobbe P, Downar J, Zariffa J. A fast EEG forecasting algorithm for phase-locked transcranial electrical stimulation of the human brain. Front Neurosci. 2017;11:401.","journal-title":"Front Neurosci"},{"key":"2565_CR87","doi-asserted-by":"crossref","first-page":"190","DOI":"10.3390\/s19010190","volume":"19","author":"S Kohli","year":"2019","unstructured":"Kohli S, Casson AJ. Removal of gross artifacts of transcranial alternating current stimulation in simultaneous EEG monitoring. Sensors 2019;19:190.","journal-title":"Sensors"},{"key":"2565_CR88","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.neuroimage.2016.03.065","volume":"140","author":"N Noury","year":"2016","unstructured":"Noury N, Hipp JF, Siegel M. Physiological processes non-linearly affect electrophysiological recordings during transcranial electric stimulation. Neuroimage 2016;140:99\u2013109.","journal-title":"Neuroimage"},{"key":"2565_CR89","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1007\/s10548-009-0123-4","volume":"22","author":"RJ Ilmoniemi","year":"2010","unstructured":"Ilmoniemi RJ, Ki\u010di\u0107 D. Methodology for combined TMS and EEG. Brain Topogr. 2010;22:233.","journal-title":"Brain Topogr"},{"key":"2565_CR90","doi-asserted-by":"crossref","first-page":"904","DOI":"10.1002\/hbm.24420","volume":"40","author":"LM Li","year":"2019","unstructured":"Li LM, Violante IR, Leech R, Ross E, Hampshire A, Opitz A, et al. Brain state and polarity dependent modulation of brain networks by transcranial direct current stimulation. Hum Brain Mapp. 2019;40:904\u201315.","journal-title":"Hum Brain Mapp"},{"key":"2565_CR91","doi-asserted-by":"crossref","first-page":"4766","DOI":"10.1523\/JNEUROSCI.1756-16.2017","volume":"37","author":"M B\u00e4chinger","year":"2017","unstructured":"B\u00e4chinger M, Zerbi V, Moisa M, Polania R, Liu Q, Mantini D, et al. Concurrent tACS-fMRI reveals causal influence of power synchronized neural activity on resting state fMRI connectivity. J Neurosci. 2017;37:4766\u201377.","journal-title":"J Neurosci"},{"key":"2565_CR92","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.neuroimage.2015.10.003","volume":"140","author":"J Vosskuhl","year":"2016","unstructured":"Vosskuhl J, Huster RJ, Herrmann CS. BOLD signal effects of transcranial alternating current stimulation (tACS) in the alpha range: a concurrent tACS\u2013fMRI study. Neuroimage 2016;140:118\u201325.","journal-title":"Neuroimage"},{"key":"2565_CR93","doi-asserted-by":"crossref","unstructured":"Constable RT. Challenges in fMRI and its limitations. Functional MRI: Springer; 2006. p. 75\u201398.","DOI":"10.1007\/0-387-34665-1_4"},{"key":"2565_CR94","doi-asserted-by":"crossref","unstructured":"Misaki M, Bodurka JA. The impact of real-time fMRI denoising on online evaluation of brain activity and functional connectivity. J Neural Eng 2021;18. https:\/\/iopscience.iop.org\/article\/10.1088\/1741-2552\/ac0b33.","DOI":"10.1101\/2021.03.02.433573"},{"key":"2565_CR95","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1093\/scan\/nsaa099","volume":"17","author":"G Galli","year":"2022","unstructured":"Galli G, Miniussi C, Pellicciari MC. Transcranial electric stimulation as a neural interface to gain insight on human brain functions: current knowledge and future perspective. Soc Cogn Affect Neurosci. 2022;17:4\u201314.","journal-title":"Soc Cogn Affect Neurosci"},{"key":"2565_CR96","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1162\/089892903321662994","volume":"15","author":"MA Nitsche","year":"2003","unstructured":"Nitsche MA, Schauenburg A, Lang N, Liebetanz D, Exner C, Paulus W, et al. Facilitation of implicit motor learning by weak transcranial direct current stimulation of the primary motor cortex in the human. J Cogn Neurosci 2003;15:619\u201326.","journal-title":"J Cogn Neurosci"},{"key":"2565_CR97","doi-asserted-by":"crossref","first-page":"2122","DOI":"10.1016\/j.neuropsychologia.2008.02.023","volume":"46","author":"M-F Kuo","year":"2008","unstructured":"Kuo M-F, Unger M, Liebetanz D, Lang N, Tergau F, Paulus W, et al. Limited impact of homeostatic plasticity on motor learning in humans. Neuropsychologia 2008;46:2122\u20138.","journal-title":"Neuropsychologia"},{"key":"2565_CR98","doi-asserted-by":"crossref","first-page":"1141","DOI":"10.1152\/jn.00608.2009","volume":"105","author":"K Fricke","year":"2011","unstructured":"Fricke K, Seeber AA, Thirugnanasambandam N, Paulus W, Nitsche MA, Rothwell JC. Time course of the induction of homeostatic plasticity generated by repeated transcranial direct current stimulation of the human motor cortex. J Neurophysiol. 2011;105:1141\u20139.","journal-title":"J Neurophysiol"},{"key":"2565_CR99","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1111\/j.1469-7793.2000.t01-1-00633.x","volume":"527","author":"MA Nitsche","year":"2000","unstructured":"Nitsche MA, Paulus W. Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation. J Physiol. 2000;527:633.","journal-title":"J Physiol"},{"key":"2565_CR100","doi-asserted-by":"crossref","first-page":"688","DOI":"10.3389\/fnhum.2013.00688","volume":"7","author":"M Bikson","year":"2013","unstructured":"Bikson M, Rahman A. Origins of specificity during tDCS: anatomical, activity-selective, and input-bias mechanisms. Front Hum Neurosci. 2013;7:688.","journal-title":"Front Hum Neurosci"},{"key":"2565_CR101","doi-asserted-by":"crossref","first-page":"1243","DOI":"10.1016\/S0042-6989(97)85231-5","volume":"37","author":"B Condon","year":"1997","unstructured":"Condon B, McFadzean R, Hadley DM, Bradnam MS, Shahani U. Habituation-like effects cause a significant decrease in response in MRI neuroactivation during visual stimulation. Vis Res. 1997;37:1243\u20137.","journal-title":"Vis Res"},{"key":"2565_CR102","doi-asserted-by":"crossref","first-page":"118180","DOI":"10.1016\/j.neuroimage.2021.118180","volume":"238","author":"H Ekhtiari","year":"2021","unstructured":"Ekhtiari H, Kuplicki R, Aupperle RL, Paulus MP. It is never as good the second time around: Brain areas involved in salience processing habituate during repeated drug cue exposure in treatment engaged abstinent methamphetamine and opioid users. NeuroImage 2021;238:118180.","journal-title":"NeuroImage"},{"key":"2565_CR103","doi-asserted-by":"crossref","first-page":"e50050","DOI":"10.1371\/journal.pone.0050050","volume":"7","author":"R Sladky","year":"2012","unstructured":"Sladky R, H\u00f6flich A, Atanelov J, Kraus C, Baldinger P, Moser E, et al. Increased neural habituation in the amygdala and orbitofrontal cortex in social anxiety disorder revealed by FMRI. PloS One 2012;7:e50050.","journal-title":"PloS One"},{"key":"2565_CR104","doi-asserted-by":"crossref","first-page":"5340","DOI":"10.1002\/hbm.26007","volume":"43","author":"H Ekhtiari","year":"2022","unstructured":"Ekhtiari H, Soleimani G, Kuplicki R, Yeh HW, Cha YH, Paulus M. Transcranial direct current stimulation to modulate fMRI drug cue reactivity in methamphetamine users: a randomized clinical trial. Hum Brain Mapp. 2022;43:5340\u201357.","journal-title":"Hum Brain Mapp"},{"key":"2565_CR105","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.neuroimage.2016.01.032","volume":"129","author":"R Lorenz","year":"2016","unstructured":"Lorenz R, Monti RP, Violante IR, Anagnostopoulos C, Faisal AA, Montana G, et al. The automatic neuroscientist: a framework for optimizing experimental design with closed-loop real-time fMRI. NeuroImage 2016;129:320\u201334.","journal-title":"NeuroImage"},{"key":"2565_CR106","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1038\/s41380-020-00962-6","volume":"26","author":"L van Boekholdt","year":"2021","unstructured":"van Boekholdt L, Kerstens S, Khatoun A, Asamoah B, Mc Laughlin M. tDCS peripheral nerve stimulation: a neglected mode of action? Mol Psychiatry. 2021;26:456\u201361.","journal-title":"Mol Psychiatry"},{"key":"2565_CR107","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1038\/s41380-019-0499-9","volume":"25","author":"HW Chase","year":"2020","unstructured":"Chase HW, Boudewyn MA, Carter CS, Phillips ML. Transcranial direct current stimulation: a roadmap for research, from mechanism of action to clinical implementation. Mol Psychiatry. 2020;25:397\u2013407.","journal-title":"Mol Psychiatry"},{"key":"2565_CR108","doi-asserted-by":"crossref","first-page":"15067","DOI":"10.1523\/JNEUROSCI.2059-10.2010","volume":"30","author":"D Reato","year":"2010","unstructured":"Reato D, Rahman A, Bikson M, Parra LC. Low-intensity electrical stimulation affects network dynamics by modulating population rate and spike timing. J Neurosci. 2010;30:15067\u201379.","journal-title":"J Neurosci"},{"key":"2565_CR109","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1113\/jphysiol.1981.sp013897","volume":"319","author":"J Jefferys","year":"1981","unstructured":"Jefferys J. Influence of electric fields on the excitability of granule cells in guinea\u2010pig hippocampal slices. J Physiol. 1981;319:143\u201352.","journal-title":"J Physiol"},{"key":"2565_CR110","doi-asserted-by":"crossref","first-page":"11476","DOI":"10.1523\/JNEUROSCI.5252-09.2010","volume":"30","author":"S Ozen","year":"2010","unstructured":"Ozen S, Sirota A, Belluscio MA, Anastassiou CA, Stark E, Koch C, et al. Transcranial electric stimulation entrains cortical neuronal populations in rats. J Neurosci. 2010;30:11476\u201385.","journal-title":"J Neurosci"},{"key":"2565_CR111","doi-asserted-by":"crossref","first-page":"eaaz2747","DOI":"10.1126\/sciadv.aaz2747","volume":"6","author":"L Johnson","year":"2020","unstructured":"Johnson L, Alekseichuk I, Krieg J, Doyle A, Yu Y, Vitek J, et al. Dose-dependent effects of transcranial alternating current stimulation on spike timing in awake nonhuman primates. Sci Adv 2020;6:eaaz2747.","journal-title":"Sci Adv"},{"key":"2565_CR112","doi-asserted-by":"crossref","first-page":"F1000 Faculty R","DOI":"10.12688\/f1000research.16451.1","volume":"7","author":"CJ Wilson","year":"2018","unstructured":"Wilson CJ, Higgs MH, Simmons DV, Morales JC. Oscillations and spike entrainment. F1000Research. 2018;7:F1000 Faculty Rev\u20131960.","journal-title":"F1000Research"},{"key":"2565_CR113","doi-asserted-by":"crossref","first-page":"3030","DOI":"10.1523\/JNEUROSCI.0095-07.2007","volume":"27","author":"T Radman","year":"2007","unstructured":"Radman T, Su Y, An JH, Parra LC, Bikson M. Spike timing amplifies the effect of electric fields on neurons: implications for endogenous field effects. J Neurosci. 2007;27:3030\u20136.","journal-title":"J Neurosci"},{"key":"2565_CR114","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1214\/18-BA1110","volume":"14","author":"B Letham","year":"2019","unstructured":"Letham B, Karrer B, Ottoni G, Bakshy E. Constrained Bayesian optimization with noisy experiments. Bayesian Anal 2019;14:495\u2013519.","journal-title":"Bayesian Anal"},{"key":"2565_CR115","doi-asserted-by":"crossref","first-page":"1040","DOI":"10.1016\/j.neuroimage.2012.10.026","volume":"85","author":"A Antal","year":"2014","unstructured":"Antal A, Bikson M, Datta A, Lafon B, Dechent P, Parra LC, et al. Imaging artifacts induced by electrical stimulation during conventional fMRI of the brain. Neuroimage 2014;85:1040\u20137.","journal-title":"Neuroimage"},{"key":"2565_CR116","doi-asserted-by":"crossref","unstructured":"Bramson B, den Ouden H, Toni I, Roelofs K. Improving emotional-action control by targeting long-range phase-amplitude neuronal coupling. bioRxiv. 2020;9:e59600.","DOI":"10.7554\/eLife.59600"},{"key":"2565_CR117","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1038\/s41593-017-0054-4","volume":"21","author":"R Polania","year":"2018","unstructured":"Polania R, Nitsche MA, Ruff CC. Studying and modifying brain function with non-invasive brain stimulation. Nat Neurosci. 2018;21:174\u201387.","journal-title":"Nat Neurosci"},{"key":"2565_CR118","doi-asserted-by":"crossref","first-page":"e30971","DOI":"10.1371\/journal.pone.0030971","volume":"7","author":"R Polan\u00eda","year":"2012","unstructured":"Polan\u00eda R, Paulus W, Nitsche MA. Reorganizing the intrinsic functional architecture of the human primary motor cortex during rest with non-invasive cortical stimulation. PloS One. 2012;7:e30971.","journal-title":"PloS One"},{"key":"2565_CR119","first-page":"884","volume":"22","author":"R Abend","year":"2019","unstructured":"Abend R, Sar\u2010el R, Gonen T, Jalon I, Vaisvaser S, Bar\u2010Haim Y, et al. Modulating emotional experience using electrical stimulation of the medial\u2010prefrontal cortex: a preliminary tdcs\u2010fmri study. neuromodulation: technology at the neural. Interface. 2019;22:884\u201393.","journal-title":"Interface"},{"key":"2565_CR120","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1016\/j.brs.2014.06.004","volume":"7","author":"C Rosso","year":"2014","unstructured":"Rosso C, Perlbarg V, Valabregue R, Arbizu C, Ferrieux S, Alshawan B, et al. Broca\u2019s area damage is necessary but not sufficient to induce after-effects of cathodal tDCS on the unaffected hemisphere in post-stroke aphasia. Brain Stimul. 2014;7:627\u201335.","journal-title":"Brain Stimul"},{"key":"2565_CR121","doi-asserted-by":"crossref","unstructured":"Fr\u00f6hlich F, Alagapan S, Boyle MR, Hamilton F, Li G, Lustenberger C, et al. Target engagement with transcranial current stimulation. In: Transcranial Direct Current Stimulation in Neuropsychiatric Disorders: Springer; 2016. p. 197\u2013222.","DOI":"10.1007\/978-3-319-33967-2_11"},{"key":"2565_CR122","doi-asserted-by":"crossref","unstructured":"Lorenz R, Monti RP, Hampshire A, Koush Y, Anagnostopoulos C, Faisal AA, et al. Towards tailoring non-invasive Brain Stimulation using real-time fMRI and Bayesian optimization. In: 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), Trento, Italy, 2016: pp. 1\u20134.","DOI":"10.1109\/PRNI.2016.7552338"},{"key":"2565_CR123","doi-asserted-by":"crossref","first-page":"1484","DOI":"10.1016\/j.brs.2019.07.003","volume":"12","author":"R Lorenz","year":"2019","unstructured":"Lorenz R, Simmons LE, Monti RP, Arthur JL, Limal S, Laakso I, et al. Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization. Brain Stimul. 2019;12:1484\u20139.","journal-title":"Brain Stimul"},{"key":"2565_CR124","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1093\/comjnl\/7.4.308","volume":"7","author":"JA Nelder","year":"1965","unstructured":"Nelder JA, Mead R. A simplex method for function minimization. Comput J. 1965;7:308\u201313.","journal-title":"Comput J"},{"key":"2565_CR125","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1287\/moor.23.4.769","volume":"23","author":"A Ben-Tal","year":"1998","unstructured":"Ben-Tal A, Nemirovski A. Robust convex optimization. Math Oper Res. 1998;23:769\u2013805.","journal-title":"Math Oper Res"},{"key":"2565_CR126","doi-asserted-by":"crossref","unstructured":"Taylor JJ, Lin C, Talmasov D, Ferguson MA, Schaper FL, Jiang J, et al. A transdiagnostic network for psychiatric illness derived from atrophy and lesions. Nat Hum Behav 2023;7:420\u20139.","DOI":"10.1038\/s41562-022-01501-9"},{"key":"2565_CR127","doi-asserted-by":"crossref","first-page":"1025","DOI":"10.3389\/fnagi.2021.765370","volume":"13","author":"D Cappon","year":"2022","unstructured":"Cappon D, den Boer T, Jordan C, Yu W, Lo A, LaGanke N, et al. Safety and feasibility of tele-supervised home-based transcranial direct current stimulation for major depressive disorder. Front Aging Neurosci. 2022;13:1025.","journal-title":"Front Aging Neurosci"},{"key":"2565_CR128","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.jocn.2019.08.047","volume":"70","author":"H Ahn","year":"2019","unstructured":"Ahn H, Zhong C, Miao H, Chaoul A, Park L, Yen IH, et al. Efficacy of combining home-based transcranial direct current stimulation with mindfulness-based meditation for pain in older adults with knee osteoarthritis: a randomized controlled pilot study. J Clin Neurosci. 2019;70:140\u20135.","journal-title":"J Clin Neurosci"},{"key":"2565_CR129","first-page":"e57614","volume":"137","author":"F Carvalho","year":"2018","unstructured":"Carvalho F, Brietzke AP, Gasparin A, Dos Santos FP, Vercelino R, Ballester RF, et al. Home-based transcranial direct current stimulation device development: an updated protocol used at home in healthy subjects and fibromyalgia patients. JoVE. 2018;137:e57614.","journal-title":"JoVE"},{"key":"2565_CR130","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.jpsychires.2015.12.018","volume":"74","author":"M Kekic","year":"2016","unstructured":"Kekic M, Boysen E, Campbell IC, Schmidt U. A systematic review of the clinical efficacy of transcranial direct current stimulation (tDCS) in psychiatric disorders. J Psychiatr Res. 2016;74:70\u201386.","journal-title":"J Psychiatr Res"},{"key":"2565_CR131","doi-asserted-by":"crossref","first-page":"335","DOI":"10.3389\/fnagi.2018.00335","volume":"10","author":"G Dumel","year":"2018","unstructured":"Dumel G, Bourassa M-E, Charlebois-Plante C, Desjardins M, Doyon J, Saint-Amour D, et al. Motor learning improvement remains 3 months after a multisession anodal tDCS intervention in an aging population. Front Aging Neurosci. 2018;10:335.","journal-title":"Front Aging Neurosci"},{"key":"2565_CR132","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1016\/j.brs.2021.03.001","volume":"14","author":"F Farahani","year":"2021","unstructured":"Farahani F, Kronberg G, FallahRad M, Oviedo HV, Parra LC. Effects of direct current stimulation on synaptic plasticity in a single neuron. Brain Stimul. 2021;14:588\u201397.","journal-title":"Brain Stimul"},{"key":"2565_CR133","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1038\/nn.2479","volume":"13","author":"C Clopath","year":"2010","unstructured":"Clopath C, B\u00fcsing L, Vasilaki E, Gerstner W. Connectivity reflects coding: a model of voltage-based STDP with homeostasis. Nat Neurosci. 2010;13:344\u201352.","journal-title":"Nat Neurosci"},{"key":"2565_CR134","doi-asserted-by":"crossref","first-page":"827353","DOI":"10.3389\/fnsys.2022.827353","volume":"16","author":"S Vogeti","year":"2022","unstructured":"Vogeti S, Boetzel C, Herrmann CS. Entrainment and spike-timing dependent plasticity\u2013a review of proposed mechanisms of transcranial alternating current stimulation. Front Syst Neurosci. 2022;16:827353.","journal-title":"Front Syst Neurosci"},{"key":"2565_CR135","doi-asserted-by":"crossref","first-page":"118179","DOI":"10.1016\/j.neuroimage.2021.118179","volume":"237","author":"BC Schwab","year":"2021","unstructured":"Schwab BC, K\u00f6nig P, Engel AK. Spike-timing-dependent plasticity can account for connectivity aftereffects of dual-site transcranial alternating current stimulation. NeuroImage 2021;237:118179.","journal-title":"NeuroImage"},{"key":"2565_CR136","doi-asserted-by":"crossref","first-page":"e971","DOI":"10.1212\/WNL.0000000000005121","volume":"90","author":"M Arlotti","year":"2018","unstructured":"Arlotti M, Marceglia S, Foffani G, Volkmann J, Lozano AM, Moro E, et al. Eight-hours adaptive deep brain stimulation in patients with Parkinson disease. Neurology 2018;90:e971\u20136.","journal-title":"Neurology"},{"key":"2565_CR137","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1016\/j.nicl.2018.06.009","volume":"19","author":"KE MacDuffie","year":"2018","unstructured":"MacDuffie KE, MacInnes J, Dickerson KC, Eddington KM, Strauman TJ, Adcock RA. Single session real-time fMRI neurofeedback has a lasting impact on cognitive behavioral therapy strategies. NeuroImage: Clin. 2018;19:868\u201375.","journal-title":"NeuroImage: Clin"},{"key":"2565_CR138","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1016\/j.brs.2012.04.011","volume":"6","author":"K Monte-Silva","year":"2013","unstructured":"Monte-Silva K, Kuo M-F, Hessenthaler S, Fresnoza S, Liebetanz D, Paulus W, et al. Induction of late LTP-like plasticity in the human motor cortex by repeated non-invasive brain stimulation. Brain Stimul. 2013;6:424\u201332.","journal-title":"Brain Stimul"},{"key":"2565_CR139","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1016\/S1053-8119(03)00310-0","volume":"20","author":"T B\u00e4umer","year":"2003","unstructured":"B\u00e4umer T, Lange R, Liepert J, Weiller C, Siebner HR, Rothwell JC, et al. Repeated premotor rTMS leads to cumulative plastic changes of motor cortex excitability in humans. Neuroimage 2003;20:550\u201360.","journal-title":"Neuroimage"},{"key":"2565_CR140","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.brs.2021.10.552","volume":"15","author":"M Sharma","year":"2022","unstructured":"Sharma M, Farahani F, Bikson M, Parra LC. Weak DCS causes a relatively strong cumulative boost of synaptic plasticity with spaced learning. Brain Stimul. 2022;15:57\u201362.","journal-title":"Brain Stimul"},{"key":"2565_CR141","doi-asserted-by":"crossref","first-page":"113311","DOI":"10.1016\/j.bbr.2021.113311","volume":"409","author":"G Martens","year":"2021","unstructured":"Martens G, Ib\u00e1\u00f1ez-Soria D, Barra A, Soria-Frisch A, Piarulli A, Gosseries O, et al. A novel closed-loop EEG-tDCS approach to promote responsiveness of patients in minimally conscious state: a study protocol. Behav Brain Res. 2021;409:113311.","journal-title":"Behav Brain Res"},{"key":"2565_CR142","doi-asserted-by":"crossref","first-page":"e1002898","DOI":"10.1371\/journal.pcbi.1002898","volume":"9","author":"D Reato","year":"2013","unstructured":"Reato D, Gasca F, Datta A, Bikson M, Marshall L, Parra LC. Transcranial electrical stimulation accelerates human sleep homeostasis. PLoS Comput Biol. 2013;9:e1002898.","journal-title":"PLoS Comput Biol"},{"key":"2565_CR143","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.neuropsychologia.2016.04.011","volume":"86","author":"DJ Schutter","year":"2016","unstructured":"Schutter DJ, Wischnewski M. A meta-analytic study of exogenous oscillatory electric potentials in neuroenhancement. Neuropsychologia 2016;86:110\u20138.","journal-title":"Neuropsychologia"},{"key":"2565_CR144","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.neuroimage.2014.01.049","volume":"92","author":"S Haegens","year":"2014","unstructured":"Haegens S, Cousijn H, Wallis G, Harrison PJ, Nobre AC. Inter-and intra-individual variability in alpha peak frequency. Neuroimage 2014;92:46\u201355.","journal-title":"Neuroimage"},{"key":"2565_CR145","doi-asserted-by":"crossref","first-page":"2573","DOI":"10.1007\/s00221-018-5314-3","volume":"236","author":"S Fresnoza","year":"2018","unstructured":"Fresnoza S, Christova M, Feil T, Gallasch E, K\u00f6rner C, Zimmer U, et al. The effects of transcranial alternating current stimulation (tACS) at individual alpha peak frequency (iAPF) on motor cortex excitability in young and elderly adults. Exp Brain Res. 2018;236:2573\u201388.","journal-title":"Exp Brain Res"},{"key":"2565_CR146","doi-asserted-by":"crossref","unstructured":"Grover S, Nguyen JA, Viswanathan V, Reinhart RM. High-frequency neuromodulation improves obsessive\u2013compulsive behavior. Nat Med 2021:27;232\u20138.","DOI":"10.1038\/s41591-020-01173-w"},{"key":"2565_CR147","doi-asserted-by":"crossref","first-page":"101768","DOI":"10.1016\/j.nicl.2019.101768","volume":"22","author":"A Del Felice","year":"2019","unstructured":"Del Felice A, Castiglia L, Formaggio E, Cattelan M, Scarpa B, Manganotti P, et al. Personalized transcranial alternating current stimulation (tACS) and physical therapy to treat motor and cognitive symptoms in Parkinson\u2019s disease: a randomized cross-over trial. NeuroImage Clin. 2019;22:101768.","journal-title":"NeuroImage Clin"},{"key":"2565_CR148","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.neuroimage.2017.09.024","volume":"163","author":"GB Saturnino","year":"2017","unstructured":"Saturnino GB, Madsen KH, Siebner HR, Thielscher A. How to target inter-regional phase synchronization with dual-site transcranial alternating current stimulation. Neuroimage 2017;163:68\u201380.","journal-title":"Neuroimage"},{"key":"2565_CR149","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.neuroimage.2013.12.002","volume":"89","author":"G Ruffini","year":"2014","unstructured":"Ruffini G, Fox MD, Ripolles O, Miranda PC, Pascual-Leone A. Optimization of multifocal transcranial current stimulation for weighted cortical pattern targeting from realistic modeling of electric fields. Neuroimage 2014;89:216\u201325.","journal-title":"Neuroimage"},{"key":"2565_CR150","doi-asserted-by":"crossref","unstructured":"Scangos KW, Makhoul GS, Sugrue LP, Chang EF, Krystal AD. State-dependent responses to intracranial brain stimulation in a patient with depression. Nat Med 2021;27:229\u201331.","DOI":"10.1038\/s41591-020-01175-8"},{"key":"2565_CR151","first-page":"731","volume":"3","author":"L Cocchi","year":"2018","unstructured":"Cocchi L, Zalesky A. Personalized transcranial magnetic stimulation in psychiatry. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018;3:731\u201341.","journal-title":"Biol Psychiatry Cogn Neurosci Neuroimaging"},{"key":"2565_CR152","first-page":"4","volume":"17","author":"SL Garnaat","year":"2019","unstructured":"Garnaat SL, Fukuda AM, Yuan S, Carpenter LL. Identification of clinical features and biomarkers that may inform a personalized approach to rTMS for depression. Pers Med Psychiatry. 2019;17:4\u201316.","journal-title":"Pers Med Psychiatry"},{"key":"2565_CR153","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1097\/WCO.0000000000000462","volume":"30","author":"PJ Koch","year":"2017","unstructured":"Koch PJ, Hummel FC. Toward precision medicine: tailoring interventional strategies based on noninvasive brain stimulation for motor recovery after stroke. Curr Opin Neurol. 2017;30:388\u201397.","journal-title":"Curr Opin Neurol"},{"key":"2565_CR154","first-page":"154","volume":"143","author":"AR Brunoni","year":"2022","unstructured":"Brunoni AR, Fregni F. Digitizing non-invasive neuromodulation trials: scoping review, process mapping, and recommendations from a Delphi panel. medRxiv. 2022;143:154\u201365.","journal-title":"medRxiv"},{"key":"2565_CR155","doi-asserted-by":"crossref","unstructured":"Figee M, Mayberg H. The future of personalized brain stimulation. Nat Med 2021;27:196\u20137.","DOI":"10.1038\/s41591-021-01243-7"},{"key":"2565_CR156","doi-asserted-by":"crossref","first-page":"1316","DOI":"10.1016\/j.neuroimage.2012.03.004","volume":"62","author":"BR Rosen","year":"2012","unstructured":"Rosen BR, Savoy RL. fMRI at 20: has it changed the world? Neuroimage 2012;62:1316\u201324.","journal-title":"Neuroimage"},{"key":"2565_CR157","doi-asserted-by":"crossref","first-page":"458","DOI":"10.3389\/fnhum.2013.00458","volume":"7","author":"LQ Uddin","year":"2013","unstructured":"Uddin LQ, Supekar K, Menon V. Reconceptualizing functional brain connectivity in autism from a developmental perspective. Front Hum Neurosci. 2013;7:458.","journal-title":"Front Hum Neurosci"},{"key":"2565_CR158","doi-asserted-by":"crossref","first-page":"573","DOI":"10.3389\/fnhum.2013.00573","volume":"7","author":"E Redcay","year":"2013","unstructured":"Redcay E, Moran JM, Mavros PL, Tager-Flusberg H, Gabrieli JD, Whitfield-Gabrieli S. Intrinsic functional network organization in high-functioning adolescents with autism spectrum disorder. Front Hum Neurosci. 2013;7:573.","journal-title":"Front Hum Neurosci"},{"key":"2565_CR159","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1016\/j.neubiorev.2015.08.001","volume":"57","author":"T Wolfers","year":"2015","unstructured":"Wolfers T, Buitelaar JK, Beckmann CF, Franke B, Marquand AF. From estimating activation locality to predicting disorder: a review of pattern recognition for neuroimaging-based psychiatric diagnostics. Neurosci Biobehav Rev. 2015;57:328\u201349.","journal-title":"Neurosci Biobehav Rev"},{"key":"2565_CR160","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1176\/appi.ajp.2009.08121894","volume":"166","author":"A Di Martino","year":"2009","unstructured":"Di Martino A, Shehzad Z, Kelly C, Roy AK, Gee DG, Uddin LQ, et al. Relationship between cingulo-insular functional connectivity and autistic traits in neurotypical adults. Am J Psychiatry. 2009;166:891\u20139.","journal-title":"Am J Psychiatry"},{"key":"2565_CR161","doi-asserted-by":"crossref","first-page":"2490","DOI":"10.1093\/brain\/awx170","volume":"140","author":"ND Orlov","year":"2017","unstructured":"Orlov ND, O\u2019daly O, Tracy DK, Daniju Y, Hodsoll J, Valdearenas L, et al. Stimulating thought: a functional MRI study of transcranial direct current stimulation in schizophrenia. Brain 2017;140:2490\u20137.","journal-title":"Brain"},{"key":"2565_CR162","doi-asserted-by":"crossref","first-page":"1032","DOI":"10.1016\/j.jalz.2014.07.159","volume":"11","author":"M Meinzer","year":"2015","unstructured":"Meinzer M, Lindenberg R, Phan MT, Ulm L, Volk C, Fl\u00f6el A. Transcranial direct current stimulation in mild cognitive impairment: behavioral effects and neural mechanisms. Alzheimer\u2019s Dement. 2015;11:1032\u201340.","journal-title":"Alzheimer\u2019s Dement"},{"key":"2565_CR163","doi-asserted-by":"crossref","first-page":"956315","DOI":"10.3389\/fnsys.2022.956315","volume":"16","author":"G Soleimani","year":"2022","unstructured":"Soleimani G, Towhidkhah F, Oghabian M, Ekhtiari H. DLPFC stimulation alters large-scale brain networks connectivity during a drug cue reactivity task: a tDCS-fMRI study. Front Syst Neurosci. 2022;16:956315.","journal-title":"Front Syst Neurosci"},{"key":"2565_CR164","doi-asserted-by":"crossref","first-page":"e00922","DOI":"10.1002\/brb3.922","volume":"8","author":"A Shahbabaie","year":"2018","unstructured":"Shahbabaie A, Ebrahimpoor M, Hariri A, Nitsche MA, Hatami J, Fatemizadeh E, et al. Transcranial DC stimulation modifies functional connectivity of large\u2010scale brain networks in abstinent methamphetamine users. Brain Behav. 2018;8:e00922.","journal-title":"Brain Behav"},{"key":"2565_CR165","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/j.brs.2018.12.493","volume":"12","author":"G Martens","year":"2019","unstructured":"Martens G, Barra A, Carri\u00e8re M, Soria-Frisch A, Ruffini G, Ib\u00e1\u00f1ez D, et al. Closed-loop application of tDCS to promote responsiveness in patients with disorders of consciousness. Brain Stimul. 2019;12:459.","journal-title":"Brain Stimul"},{"key":"2565_CR166","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1126\/science.1223154","volume":"337","author":"A Ber\u00e9nyi","year":"2012","unstructured":"Ber\u00e9nyi A, Belluscio M, Mao D, Buzs\u00e1ki G. Closed-loop control of epilepsy by transcranial electrical stimulation. Science 2012;337:735\u20137.","journal-title":"Science"},{"key":"2565_CR167","doi-asserted-by":"crossref","first-page":"1750026","DOI":"10.1142\/S0129065717500265","volume":"27","author":"J Leite","year":"2017","unstructured":"Leite J, Morales-Quezada L, Carvalho S, Thibaut A, Doruk D, Chen C-F, et al. Surface EEG-transcranial direct current stimulation (tDCS) closed-loop system. Int J neural Syst. 2017;27:1750026.","journal-title":"Int J neural Syst"},{"key":"2565_CR168","doi-asserted-by":"crossref","first-page":"924","DOI":"10.3389\/fpsyt.2019.00924","volume":"10","author":"K Specht","year":"2020","unstructured":"Specht K. Current challenges in translational and clinical fMRI and future directions. Front psychiatry. 2020;10:924.","journal-title":"Front psychiatry"},{"key":"2565_CR169","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1176\/appi.ajp.2021.20101429","volume":"179","author":"EJ Cole","year":"2022","unstructured":"Cole EJ, Phillips AL, Bentzley BS, Stimpson KH, Nejad R, Barmak F, et al. Stanford Neuromodulation Therapy (SNT): A double-blind randomized controlled trial. Am J Psychiatry. 2022;179:132\u201341.","journal-title":"Am J Psychiatry"},{"key":"2565_CR170","doi-asserted-by":"crossref","first-page":"4762","DOI":"10.1002\/hbm.25584","volume":"42","author":"Q Chen","year":"2021","unstructured":"Chen Q, Lv H, Wang Z, Wei X, Liu J, Zhao P, et al. Pretreatment intranetwork connectivity can predict the outcomes in idiopathic tinnitus patients treated with sound therapy. Hum Brain Mapp. 2021;42:4762\u201376.","journal-title":"Hum Brain Mapp"},{"key":"2565_CR171","doi-asserted-by":"crossref","first-page":"794","DOI":"10.1111\/head.12587","volume":"55","author":"A Tessitore","year":"2015","unstructured":"Tessitore A, Russo A, Conte F, Giordano A, De Stefano M, Lavorgna L, et al. Abnormal connectivity within executive resting\u2010state network in migraine with aura. Headache. 2015;55:794\u2013805.","journal-title":"Headache"},{"key":"2565_CR172","doi-asserted-by":"crossref","first-page":"1449","DOI":"10.1212\/WNL.0b013e31826d5f10","volume":"79","author":"MA Rocca","year":"2012","unstructured":"Rocca MA, Valsasina P, Martinelli V, Misci P, Falini A, Comi G, et al. Large-scale neuronal network dysfunction in relapsing-remitting multiple sclerosis. Neurology 2012;79:1449\u201357.","journal-title":"Neurology"},{"key":"2565_CR173","doi-asserted-by":"crossref","first-page":"1149","DOI":"10.1093\/schbul\/sbw036","volume":"42","author":"AB Poppe","year":"2016","unstructured":"Poppe AB, Barch DM, Carter CS, Gold JM, Ragland JD, Silverstein SM, et al. Reduced frontoparietal activity in schizophrenia is linked to a specific deficit in goal maintenance: a multisite functional imaging study. Schizophr Bull. 2016;42:1149\u201357.","journal-title":"Schizophr Bull"},{"key":"2565_CR174","doi-asserted-by":"crossref","first-page":"176","DOI":"10.3389\/fpsyt.2013.00176","volume":"4","author":"JP Roiser","year":"2013","unstructured":"Roiser JP, Wigton RL, Kilner J, Mendez MA, Hon N, Friston K, et al. Dysconnectivity in the frontoparietal attention network in schizophrenia. Front psychiatry. 2013;4:176.","journal-title":"Front psychiatry"},{"key":"2565_CR175","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1162\/netn_a_00056","volume":"3","author":"DH Schultz","year":"2018","unstructured":"Schultz DH, Ito T, Solomyak LI, Chen RH, Mill RD, Anticevic A, et al. Global connectivity of the fronto-parietal cognitive control network is related to depression symptoms in the general population. Netw Neurosci. 2018;3:107\u201323.","journal-title":"Netw Neurosci"},{"key":"2565_CR176","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41398-019-0616-1","volume":"9","author":"AS Keller","year":"2019","unstructured":"Keller AS, Leikauf JE, Holt-Gosselin B, Staveland BR, Williams LM. Paying attention to attention in depression. Transl Psychiatry. 2019;9:1\u201312.","journal-title":"Transl Psychiatry"},{"key":"2565_CR177","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1016\/j.tins.2012.04.012","volume":"35","author":"CM Sylvester","year":"2012","unstructured":"Sylvester CM, Corbetta M, Raichle M, Rodebaugh T, Schlaggar B, Sheline Y, et al. Functional network dysfunction in anxiety and anxiety disorders. Trends Neurosci. 2012;35:527\u201335.","journal-title":"Trends Neurosci"},{"key":"2565_CR178","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.pscychresns.2019.03.001","volume":"286","author":"Z Ma","year":"2019","unstructured":"Ma Z, Wang C, Hines CS, Lu X, Wu Y, Xu H, et al. Frontoparietal network abnormalities of gray matter volume and functional connectivity in patients with generalized anxiety disorder. Psychiatry Res: Neuroimaging. 2019;286:24\u201330.","journal-title":"Psychiatry Res: Neuroimaging"},{"key":"2565_CR179","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.neubiorev.2018.01.016","volume":"87","author":"DA G\u00fcrsel","year":"2018","unstructured":"G\u00fcrsel DA, Avram M, Sorg C, Brandl F, Koch K. Frontoparietal areas link impairments of large-scale intrinsic brain networks with aberrant fronto-striatal interactions in OCD: a meta-analysis of resting-state functional connectivity. Neurosci Biobehav Rev. 2018;87:151\u201360.","journal-title":"Neurosci Biobehav Rev"},{"key":"2565_CR180","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1002\/hbm.20281","volume":"28","author":"JR Monterosso","year":"2007","unstructured":"Monterosso JR, Ainslie G, Xu J, Cordova X, Domier CP, London ED. Frontoparietal cortical activity of methamphetamine\u2010dependent and comparison subjects performing a delay discounting task. Hum Brain Mapp. 2007;28:383\u201393.","journal-title":"Hum Brain Mapp"},{"key":"2565_CR181","doi-asserted-by":"crossref","first-page":"57","DOI":"10.3389\/fnagi.2018.00057","volume":"10","author":"H Arciniega","year":"2018","unstructured":"Arciniega H, G\u00f6zenman F, Jones KT, Stephens JA, Berryhill ME. Frontoparietal tDCS benefits visual working memory in older adults with low working memory capacity. Front Aging Neurosci. 2018;10:57.","journal-title":"Front Aging Neurosci"},{"key":"2565_CR182","doi-asserted-by":"crossref","first-page":"116615","DOI":"10.1016\/j.neuroimage.2020.116615","volume":"211","author":"KT Jones","year":"2020","unstructured":"Jones KT, Johnson EL, Berryhill ME. Frontoparietal theta-gamma interactions track working memory enhancement with training and tDCS. Neuroimage 2020;211:116615.","journal-title":"Neuroimage"},{"key":"2565_CR183","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1007\/s11682-014-9324-x","volume":"9","author":"C Imperatori","year":"2015","unstructured":"Imperatori C, Fabbricatore M, Innamorati M, Farina B, Quintiliani MI, Lamis DA, et al. Modification of EEG functional connectivity and EEG power spectra in overweight and obese patients with food addiction: an eLORETA study. Brain imaging Behav. 2015;9:703\u201316.","journal-title":"Brain imaging Behav"},{"key":"2565_CR184","doi-asserted-by":"crossref","first-page":"1259","DOI":"10.1007\/s11682-017-9799-3","volume":"12","author":"V Costumero","year":"2018","unstructured":"Costumero V, Rosell-Negre P, Bustamante JC, Fuentes-Claramonte P, Llopis JJ, \u00c1vila C, et al. Left frontoparietal network activity is modulated by drug stimuli in cocaine addiction. Brain Imaging Behav. 2018;12:1259\u201370.","journal-title":"Brain Imaging Behav"},{"key":"2565_CR185","doi-asserted-by":"crossref","first-page":"e22001","DOI":"10.7554\/eLife.22001","volume":"6","author":"IR Violante","year":"2017","unstructured":"Violante IR, Li LM, Carmichael DW, Lorenz R, Leech R, Hampshire A, et al. Externally induced frontoparietal synchronization modulates network dynamics and enhances working memory performance. Elife 2017;6:e22001.","journal-title":"Elife"},{"key":"2565_CR186","doi-asserted-by":"crossref","first-page":"820","DOI":"10.1038\/s41593-019-0371-x","volume":"22","author":"RM Reinhart","year":"2019","unstructured":"Reinhart RM, Nguyen JA. Working memory revived in older adults by synchronizing rhythmic brain circuits. Nat Neurosci. 2019;22:820\u20137.","journal-title":"Nat Neurosci"},{"key":"2565_CR187","doi-asserted-by":"crossref","first-page":"110160","DOI":"10.1016\/j.pnpbp.2020.110160","volume":"108","author":"HJ Kim","year":"2020","unstructured":"Kim HJ, Kang N. Bilateral transcranial direct current stimulation attenuated symptoms of alcohol use disorder: a systematic review and meta-analysis. Prog Neuro-Psychopharmacol Biol Psychiatry. 2020;108:110160.","journal-title":"Prog Neuro-Psychopharmacol Biol Psychiatry"},{"key":"2565_CR188","doi-asserted-by":"crossref","first-page":"598","DOI":"10.3389\/fpsyt.2020.00598","volume":"11","author":"J Chen","year":"2020","unstructured":"Chen J, Qin J, He Q, Zou Z. A meta-analysis of transcranial direct current stimulation on substance and food craving: what effect do modulators have? Front Psychiatry. 2020;11:598.","journal-title":"Front Psychiatry"},{"key":"2565_CR189","doi-asserted-by":"crossref","first-page":"1748","DOI":"10.1016\/j.cub.2020.02.065","volume":"30","author":"J Riddle","year":"2020","unstructured":"Riddle J, Scimeca JM, Cellier D, Dhanani S, D\u2019Esposito M. Causal evidence for a role of theta and alpha oscillations in the control of working memory. Curr Biol. 2020;30:1748\u2013.e4.","journal-title":"Curr Biol"},{"key":"2565_CR190","doi-asserted-by":"crossref","unstructured":"Bergmann TO, Hartwigsen G. Inferring causality from noninvasive brain stimulation in cognitive neuroscience. J Cogn Neurosci. 2020;33:195\u2013225.","DOI":"10.1162\/jocn_a_01591"},{"key":"2565_CR191","doi-asserted-by":"crossref","first-page":"4580","DOI":"10.1002\/hbm.24307","volume":"39","author":"JJ Vink","year":"2018","unstructured":"Vink JJ, Mandija S, Petrov PI, van den Berg CA, Sommer IE, Neggers SF. A novel concurrent TMS\u2010fMRI method to reveal propagation patterns of prefrontal magnetic brain stimulation. Hum Brain Mapp. 2018;39:4580\u201392.","journal-title":"Hum Brain Mapp"},{"key":"2565_CR192","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.biomaterials.2019.03.021","volume":"206","author":"Q Zhong","year":"2019","unstructured":"Zhong Q, Yoon BC, Aryal M, Wang JB, Ilovitsh T, Baikoghli M, et al. Polymeric perfluorocarbon nanoemulsions are ultrasound-activated wireless drug infusion catheters. Biomaterials 2019;206:73\u201386.","journal-title":"Biomaterials"}],"container-title":["Translational Psychiatry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41398-023-02565-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41398-023-02565-5","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41398-023-02565-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,18]],"date-time":"2023-11-18T00:13:03Z","timestamp":1700266383000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41398-023-02565-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,14]]},"references-count":192,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,12]]}},"alternative-id":["2565"],"URL":"https:\/\/doi.org\/10.1038\/s41398-023-02565-5","relation":{},"ISSN":["2158-3188"],"issn-type":[{"value":"2158-3188","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,14]]},"assertion":[{"value":"8 July 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 July 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 July 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 August 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The City University of New York holds patents on brain stimulation with MB as an inventor. MB has equity in Soterix Medical Inc. MB consults, received grants, assigned inventions, and\/or serves on the SAB of Boston Scientific, GlaxoSmithKline, Biovisics, Mecta, Lumenis, Halo Neuroscience, Google-X, i-Lumen, Humm, Allergan (Abbvie). This work has been supported in part by The William K. Warren Foundation and the National Institute of General Medical Sciences Center Grant Award Number (1P20GM121312) and the National Institute on Drug Abuse (U01DA050989). MP is an advisor to Spring Care, Inc., a behavioral health startup, he has received royalties for an article about methamphetamine in UpToDate. MP has a consulting agreement with and receives compensation from F. Hoffmann-La Roche Ltd. This study is also supported by funds from Laureate Institute for Brain Research (LIBR), Tulsa, OK, and Medical Discovery Team on Addiction (MDTA), University of Minnesota, Minneapolis, MN and Brain and Behavior Foundation (NARSAD Young Investigator Award #27305) to HE. MAN is member of the Scientific Advisory Boards of Neuroelectrics, and Precisis. All other authors reported no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"279"}}