{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T05:16:47Z","timestamp":1780723007242,"version":"3.54.1"},"reference-count":98,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,7,5]],"date-time":"2024-07-05T00:00:00Z","timestamp":1720137600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,7,5]],"date-time":"2024-07-05T00:00:00Z","timestamp":1720137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100000065","name":"NINDS","doi-asserted-by":"crossref","award":["NS106711"],"award-info":[{"award-number":["NS106711"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","award":["P41 EB031771"],"award-info":[{"award-number":["P41 EB031771"]}],"id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NIA","award":["RF1AG072637"],"award-info":[{"award-number":["RF1AG072637"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Neurol"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>Mild traumatic brain injury (mTBI) can result in lasting brain damage that is often too subtle to detect by qualitative visual inspection on conventional MR imaging. Although a number of FDA-cleared MR neuroimaging tools have demonstrated changes associated with mTBI, they are still under-utilized in clinical practice.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>We investigated a group of 65 individuals with predominantly mTBI (60 mTBI, 48 due to motor-vehicle collision, mean age 47\u2009\u00b1\u200913 years, 27 men and 38 women) with MR neuroimaging performed in a median of 37 months post-injury. We evaluated abnormalities in brain volumetry including analysis of left-right asymmetry by quantitative volumetric analysis, cerebral perfusion by pseudo-continuous arterial spin labeling (PCASL), white matter microstructure by diffusion tensor imaging (DTI), and neurometabolites via magnetic resonance spectroscopy (MRS).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>All participants demonstrated atrophy in at least one lobar structure or increased lateral ventricular volume. The globus pallidi and cerebellar grey matter were most likely to demonstrate atrophy and asymmetry. Perfusion imaging revealed significant reductions of cerebral blood flow in both occipital and right frontoparietal regions. Diffusion abnormalities were relatively less common though a subset analysis of participants with higher resolution DTI demonstrated additional abnormalities. All participants showed abnormal levels on at least one brain metabolite, most commonly in choline and N-acetylaspartate.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>We demonstrate the presence of coup-contrecoup perfusion injury patterns, widespread atrophy, regional brain volume asymmetry, and metabolic aberrations as sensitive markers of chronic mTBI sequelae. Our findings expand the historic focus on quantitative imaging of mTBI with DTI by highlighting the complementary importance of volumetry, arterial spin labeling perfusion and magnetic resonance spectroscopy neurometabolite analyses in the evaluation of chronic mTBI.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12883-024-03745-6","type":"journal-article","created":{"date-parts":[[2024,7,5]],"date-time":"2024-07-05T08:02:29Z","timestamp":1720166549000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Rate of abnormalities in quantitative MR neuroimaging of persons with chronic traumatic brain injury"],"prefix":"10.1186","volume":"24","author":[{"given":"Farzaneh","family":"Rahmani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard D.","family":"Batson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandra","family":"Zimmerman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samir","family":"Reddigari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erin D.","family":"Bigler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shawn C.","family":"Lanning","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eveline","family":"Ilasa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jordan H.","family":"Grafman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanzhang","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander P.","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cyrus A.","family":"Raji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,7,5]]},"reference":[{"key":"3745_CR1","unstructured":"Alexis B, Peterson KE, Thomas. Hong Zhou. Surveillance Report of Traumatic Brain Injury-related deaths by Age Group, Sex, and mechanism of Injury\u2014United States, 2018 and 2019. Centers for Disease Control and Prevention, U.S. Department of Health and Human Services; 2022."},{"key":"3745_CR2","doi-asserted-by":"publisher","first-page":"1799","DOI":"10.1089\/neu.2019.6918","volume":"38","author":"P Ferrazzano","year":"2021","unstructured":"Ferrazzano P, Yeske B, Mumford J, Kirk G, Bigler ED, Bowen K, et al. Brain magnetic resonance imaging volumetric measures of functional outcome after severe traumatic brain Injury in adolescents. J Neurotrauma. 2021;38:1799\u2013808.","journal-title":"J Neurotrauma"},{"key":"3745_CR3","unstructured":"Matney C, Bowman K, Berwick D, editors. Traumatic Brain Injury: a Roadmap for accelerating Progress. Washington (DC): National Academies Press (US). The scope and Burden of Traumatic Brain Injury. National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Health Care Services. Board on Health Sciences Policy; Committee on Accelerating Progress in Traumatic Brain Injury Research and Care; 2022."},{"key":"3745_CR4","doi-asserted-by":"publisher","first-page":"1550","DOI":"10.1016\/j.apmr.2007.12.035","volume":"89","author":"JM Powell","year":"2008","unstructured":"Powell JM, Ferraro JV, Dikmen SS, Temkin NR, Bell KR. Accuracy of mild traumatic brain Injury diagnosis. Arch Phys Med Rehabil. 2008;89:1550\u20135.","journal-title":"Arch Phys Med Rehabil"},{"key":"3745_CR5","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1007\/s11682-012-9162-7","volume":"6","author":"SB Rosenbaum","year":"2012","unstructured":"Rosenbaum SB, Lipton ML. Embracing chaos: the scope and importance of clinical and pathological heterogeneity in mTBI. Brain Imaging Behav. 2012;6:255\u201382.","journal-title":"Brain Imaging Behav"},{"key":"3745_CR6","doi-asserted-by":"publisher","first-page":"693","DOI":"10.1148\/radiol.16142535","volume":"279","author":"X Wu","year":"2016","unstructured":"Wu X, Kirov II, Gonen O, Ge Y, Grossman RI, Lui YW. MR imaging applications in mild traumatic brain Injury: an imaging update. Radiology. 2016;279:693\u2013707.","journal-title":"Radiology"},{"key":"3745_CR7","doi-asserted-by":"publisher","first-page":"e16","DOI":"10.3399\/bjgp16X683161","volume":"66","author":"V Alice Theadom","year":"2016","unstructured":"Alice Theadom V, Parag T, Dowell K, McPherson N, Starkey S, Barker-Collo, et al. Persistent problems 1 year after mild traumatic brain injury: a longitudinal population study in New Zealand. Br J Gen Pract. 2016;66:e16.","journal-title":"Br J Gen Pract"},{"key":"3745_CR8","doi-asserted-by":"crossref","unstructured":"Armando Miciano. Persistent Post-Concussion Symptoms, Burden M-M. Quality of Life, Global Physical Health, and Work Performance after Mild Head Injury: Two-Year Rehabilitative Outcome (P01.183). Neurology. 2012;78 1 Supplement:P01.183.","DOI":"10.1212\/WNL.78.1_MeetingAbstracts.P01.183"},{"key":"3745_CR9","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1503\/cmaj.150790","volume":"188","author":"M Fralick","year":"2016","unstructured":"Fralick M, Thiruchelvam D, Tien HC, Redelmeier DA. Risk of suicide after a concussion. CMAJ. 2016;188:497.","journal-title":"CMAJ"},{"key":"3745_CR10","doi-asserted-by":"publisher","first-page":"1055","DOI":"10.1001\/jamaneurol.2018.0815","volume":"75","author":"DE Barnes","year":"2018","unstructured":"Barnes DE, Byers AL, Gardner RC, Seal KH, Boscardin WJ, Yaffe K. Association of mild traumatic brain Injury with and without loss of consciousness with dementia in US Military veterans. JAMA Neurol. 2018;75:1055\u201361.","journal-title":"JAMA Neurol"},{"key":"3745_CR11","doi-asserted-by":"publisher","first-page":"1571","DOI":"10.1148\/rg.2019190076","volume":"39","author":"AD Schweitzer","year":"2019","unstructured":"Schweitzer AD, Niogi SN, Whitlow CT, Tsiouris AJ. Traumatic Brain Injury: imaging patterns and complications. Radiographics. 2019;39:1571\u201395.","journal-title":"Radiographics"},{"key":"3745_CR12","doi-asserted-by":"publisher","first-page":"825","DOI":"10.3171\/jns.2004.100.5.0825","volume":"100","author":"J Iba\u00f1ez","year":"2004","unstructured":"Iba\u00f1ez J, Arikan F, Pedraza S, S\u00e1nchez E, Poca MA, Rodriguez D, et al. Reliability of clinical guidelines in the detection of patients at risk following mild head injury: results of a prospective study. J Neurosurg. 2004;100:825\u201334.","journal-title":"J Neurosurg"},{"key":"3745_CR13","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1016\/j.wneu.2017.05.008","volume":"105","author":"M Stippler","year":"2017","unstructured":"Stippler M, Liu J, Motiei-Langroudi R, Voronovich Z, Yonas H, Davis RB. Complicated mild traumatic brain Injury and the need for imaging surveillance. World Neurosurg. 2017;105:265\u20139.","journal-title":"World Neurosurg"},{"key":"3745_CR14","doi-asserted-by":"publisher","first-page":"S13","DOI":"10.1016\/j.jacr.2021.01.006","volume":"18","author":"RY Shih","year":"2021","unstructured":"Shih RY, Burns J, Ajam AA, Broder JS, Chakraborty S, Kendi AT, et al. ACR appropriateness Criteria\u00ae Head Trauma: 2021 update. J Am Coll Radiol. 2021;18:S13\u201336.","journal-title":"J Am Coll Radiol"},{"key":"3745_CR15","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1089\/neu.2015.4338","volume":"34","author":"M Chiara Ricciardi","year":"2017","unstructured":"Chiara Ricciardi M, Bokkers RPH, Butman JA, Hammoud DA, Pham DL, Warach S, et al. Trauma-specific brain abnormalities in suspected mild traumatic brain Injury patients identified in the first 48 hours after Injury: a blinded magnetic resonance imaging comparative study including suspected Acute Minor Stroke patients. J Neurotrauma. 2017;34:23\u201330.","journal-title":"J Neurotrauma"},{"key":"3745_CR16","doi-asserted-by":"publisher","first-page":"963","DOI":"10.1007\/s00234-017-1898-8","volume":"59","author":"S de Haan","year":"2017","unstructured":"de Haan S, de Groot JC, Jacobs B, van der Naalt J. The association between microhaemorrhages and post - traumatic functional outcome in the chronic phase after mild traumatic brain injury. Neuroradiology. 2017;59:963\u20139.","journal-title":"Neuroradiology"},{"key":"3745_CR17","doi-asserted-by":"publisher","first-page":"3172","DOI":"10.1089\/neu.2018.6360","volume":"36","author":"CE Einarsen","year":"2019","unstructured":"Einarsen CE, Moen KG, H\u00e5berg AK, Eikenes L, Kvistad KA, Xu J, et al. Patients with mild traumatic brain Injury recruited from both hospital and primary care settings: a controlled longitudinal magnetic resonance imaging study. J Neurotrauma. 2019;36:3172\u201382.","journal-title":"J Neurotrauma"},{"key":"3745_CR18","doi-asserted-by":"publisher","first-page":"5477","DOI":"10.1002\/hbm.25630","volume":"42","author":"E Lunkova","year":"2021","unstructured":"Lunkova E, Guberman GI, Ptito A, Saluja RS. Noninvasive magnetic resonance imaging techniques in mild traumatic brain injury research and diagnosis. Hum Brain Mapp. 2021;42:5477\u201394.","journal-title":"Hum Brain Mapp"},{"key":"3745_CR19","doi-asserted-by":"crossref","unstructured":"Douglas DB, Ro T, Toffoli T, Krawchuk B, Muldermans J, Gullo J et al. Neuroimaging of traumatic brain Injury. Med Sci. 2019;7.","DOI":"10.3390\/medsci7010002"},{"key":"3745_CR20","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1093\/brain\/aws342","volume":"136","author":"ED Bigler","year":"2013","unstructured":"Bigler ED. Neuroinflammation and the dynamic lesion in traumatic brain injury. Brain. 2013;136:9\u201311.","journal-title":"Brain"},{"key":"3745_CR21","doi-asserted-by":"publisher","first-page":"1455","DOI":"10.1089\/neu.2022.0125","volume":"39","author":"JM Joyce","year":"2022","unstructured":"Joyce JM, La PL, Walker R, Harris AD. Magnetic Resonance Spectroscopy of Traumatic Brain Injury and Subconcussive hits: a systematic review and Meta\u2013analysis. J Neurotrauma. 2022;39:1455\u201376.","journal-title":"J Neurotrauma"},{"key":"3745_CR22","doi-asserted-by":"publisher","first-page":"293","DOI":"10.3233\/JAD-190708","volume":"72","author":"S Meysami","year":"2019","unstructured":"Meysami S, Raji CA, Merrill DA, Porter VR, Mendez MF. MRI volumetric quantification in persons with a history of traumatic Brain Injury and Cognitive Impairment. J Alzheimer\u2019s Disease. 2019;72:293\u2013300.","journal-title":"J Alzheimer\u2019s Disease"},{"key":"3745_CR23","doi-asserted-by":"publisher","first-page":"1607","DOI":"10.1007\/s11682-018-9823-2","volume":"12","author":"EJ Wallace","year":"2018","unstructured":"Wallace EJ, Mathias JL, Ward L. Diffusion tensor imaging changes following mild, moderate and severe adult traumatic brain injury: a meta-analysis. Brain Imaging Behav. 2018;12:1607\u201321.","journal-title":"Brain Imaging Behav"},{"key":"3745_CR24","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1007\/s11065-020-09451-7","volume":"33","author":"Y Wang","year":"2023","unstructured":"Wang Y, Bartels HM, Nelson LD. A systematic review of ASL Perfusion MRI in mild TBI. Neuropsychol Rev. 2023;33:160\u201391.","journal-title":"Neuropsychol Rev"},{"key":"3745_CR25","doi-asserted-by":"publisher","first-page":"1336","DOI":"10.1001\/archneurol.2010.149","volume":"67","author":"MA Warner","year":"2010","unstructured":"Warner MA, Youn TS, Davis T, Chandra A, de la Marquez C, Moore C, et al. Regionally selective Atrophy after Traumatic Axonal Injury. Arch Neurol. 2010;67:1336\u201344.","journal-title":"Arch Neurol"},{"key":"3745_CR26","doi-asserted-by":"crossref","unstructured":"Mavroudis I, Chatzikonstantinou S, Ciobica A, Balmus I-M, Iordache A, Kazis D et al. A systematic review and Meta-analysis of the Grey Matter Volumetric Changes in mild traumatic brain injuries. Appl Sci. 2022;12.","DOI":"10.3390\/app12199954"},{"key":"3745_CR27","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1016\/j.nic.2023.01.006","volume":"33","author":"NW Churchill","year":"2023","unstructured":"Churchill NW, Graham SJ, Schweizer TA. Perfusion imaging of traumatic brain Injury. Neuroimaging Clin N Am. 2023;33:315\u201324.","journal-title":"Neuroimaging Clin N Am"},{"key":"3745_CR28","doi-asserted-by":"publisher","first-page":"137047","DOI":"10.1016\/j.neulet.2023.137047","volume":"795","author":"S Meyer","year":"2023","unstructured":"Meyer S, Hummel R, Neulen A, Hirnet T, Thal SC. Influence of traumatic brain injury on ipsilateral and contralateral cortical perfusion in mice. Neurosci Lett. 2023;795:137047.","journal-title":"Neurosci Lett"},{"key":"3745_CR29","doi-asserted-by":"publisher","first-page":"1773","DOI":"10.1007\/s00234-021-02746-3","volume":"63","author":"HG Pemberton","year":"2021","unstructured":"Pemberton HG, Zaki LAM, Goodkin O, Das RK, Steketee RME, Barkhof F, et al. Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis\u2014a systematic review. Neuroradiology. 2021;63:1773\u201389.","journal-title":"Neuroradiology"},{"key":"3745_CR30","unstructured":"Statista, Website. (auntminnie.com); 2018. https:\/\/www.statista.com\/statistics\/820927\/mri-scans-number-in-us-by-facility-type\/. Accessed 23 June 2024."},{"key":"3745_CR31","doi-asserted-by":"publisher","first-page":"1177","DOI":"10.1016\/j.jbiomech.2009.03.029","volume":"42","author":"N Yoganandan","year":"2009","unstructured":"Yoganandan N, Pintar FA, Zhang J, Baisden JL. Physical properties of the human head: Mass, center of gravity and moment of inertia. J Biomech. 2009;42:1177\u201392.","journal-title":"J Biomech"},{"key":"3745_CR32","first-page":"297","volume":"49","author":"E Lillie","year":"2013","unstructured":"Lillie E, Urban J, Lynch S, Whitlow C, Stitzel J. Evaluation of the extent and distribution of diffuse axonal injury from real world motor vehicle crashes. Biomed Sci Instrum. 2013;49:297\u2013304.","journal-title":"Biomed Sci Instrum"},{"key":"3745_CR33","doi-asserted-by":"crossref","unstructured":"Andre JB. Arterial spin labeling magnetic resonance perfusion for traumatic Brain Injury: Technical challenges and potentials. Top Magn Reson Imaging. 2015;24.","DOI":"10.1097\/RMR.0000000000000065"},{"key":"3745_CR34","unstructured":"Imeka LLC. https:\/\/www.prnewswire.com\/news-releases\/imeka-receives-fda-510k-clearance-for-andi-medical-device-301888570.html. 2023."},{"key":"3745_CR35","doi-asserted-by":"publisher","first-page":"1488","DOI":"10.1002\/mrm.21790","volume":"60","author":"W Dai","year":"2008","unstructured":"Dai W, Garcia D, de Bazelaire C, Alsop DC. Continuous flow-driven inversion for arterial spin labeling using pulsed radio frequency and gradient fields. Magn Reson Med. 2008;60:1488\u201397.","journal-title":"Magn Reson Med"},{"key":"3745_CR36","doi-asserted-by":"publisher","first-page":"1419","DOI":"10.1007\/s11682-019-00060-4","volume":"14","author":"ML Alosco","year":"2020","unstructured":"Alosco ML, Tripodis Y, Rowland B, Chua AS, Liao H, Martin B, et al. A magnetic resonance spectroscopy investigation in symptomatic former NFL players. Brain Imaging Behav. 2020;14:1419\u201329.","journal-title":"Brain Imaging Behav"},{"key":"3745_CR37","doi-asserted-by":"publisher","first-page":"e4484","DOI":"10.1002\/nbm.4484","volume":"34","author":"A Lin","year":"2021","unstructured":"Lin A, Andronesi O, Bogner W, Choi I-Y, Coello E, Cudalbu C, et al. Minimum reporting standards for in vivo magnetic resonance spectroscopy (MRSinMRS): experts\u2019 consensus recommendations. NMR Biomed. 2021;34:e4484.","journal-title":"NMR Biomed"},{"key":"3745_CR38","doi-asserted-by":"publisher","first-page":"723","DOI":"10.3233\/JAD-150559","volume":"49","author":"J Ahdidan","year":"2016","unstructured":"Ahdidan J, Raji CA, DeYoe EA, Mathis J, Noe K\u00d8, Rimestad J, et al. Quantitative Neuroimaging Software for Clinical Assessment of hippocampal volumes on MR Imaging. J Alzheimers Dis. 2016;49:723\u201332.","journal-title":"J Alzheimers Dis"},{"key":"3745_CR39","doi-asserted-by":"crossref","unstructured":"Jack CR Jr, Bernstein MA, Borowski BJ, Gunter JL, Fox NC, Thompson PM et al. Update on the Magnetic Resonance Imaging core of the Alzheimer\u2019s Disease Neuroimaging Initiative. Alzheimer\u2019s & Dementia. 2010;6:212\u201320.","DOI":"10.1016\/j.jalz.2010.03.004"},{"key":"3745_CR40","doi-asserted-by":"publisher","first-page":"e4051","DOI":"10.1002\/nbm.4051","volume":"32","author":"Y Li","year":"2019","unstructured":"Li Y, Liu P, Li Y, Fan H, Su P, Peng S-L, et al. ASL-MRICloud: an online tool for the processing of ASL MRI data. NMR Biomed. 2019;32:e4051.","journal-title":"NMR Biomed"},{"key":"3745_CR41","doi-asserted-by":"publisher","first-page":"1426","DOI":"10.1093\/cercor\/bhq224","volume":"21","author":"H Lu","year":"2011","unstructured":"Lu H, Xu F, Rodrigue KM, Kennedy KM, Cheng Y, Flicker B, et al. Alterations in cerebral metabolic rate and blood supply across the adult lifespan. Cereb Cortex. 2011;21:1426\u201334.","journal-title":"Cereb Cortex"},{"key":"3745_CR42","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1002\/jmri.25938","volume":"48","author":"JB De Vis","year":"2018","unstructured":"De Vis JB, Peng S-L, Chen X, Li Y, Liu P, Sur S, et al. Arterial-spin-labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: a 4-year longitudinal study. J Magn Reson Imaging. 2018;48:449\u201358.","journal-title":"J Magn Reson Imaging"},{"key":"3745_CR43","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1007\/s00429-019-02002-8","volume":"225","author":"GI Guberman","year":"2020","unstructured":"Guberman GI, Houde J-C, Ptito A, Gagnon I, Descoteaux M. Structural abnormalities in thalamo-prefrontal tracks revealed by high angular resolution diffusion imaging predict working memory scores in concussed children. Brain Struct Function. 2020;225:441\u201359.","journal-title":"Brain Struct Function"},{"key":"3745_CR44","doi-asserted-by":"publisher","first-page":"e70450","DOI":"10.7554\/eLife.70450","volume":"11","author":"GI Guberman","year":"2022","unstructured":"Guberman GI, Stojanovski S, Nishat E, Ptito A, Bzdok D, Wheeler AL, et al. Multi-tract multi-symptom relationships in pediatric concussion. eLife. 2022;11:e70450.","journal-title":"eLife"},{"key":"3745_CR45","doi-asserted-by":"publisher","first-page":"104769","DOI":"10.1016\/j.bandl.2020.104769","volume":"204","author":"K Marcotte","year":"2020","unstructured":"Marcotte K, Sanchez E, Arbour C, Brambati SM, Bedetti C, Martineau S, et al. Long-term discourse outcomes and their relationship to white matter damage in moderate to severe adulthood traumatic brain injury. Brain Lang. 2020;204:104769.","journal-title":"Brain Lang"},{"key":"3745_CR46","doi-asserted-by":"publisher","first-page":"662","DOI":"10.2337\/dc12-1131","volume":"36","author":"JB Fr\u00f8kj\u00e6r","year":"2013","unstructured":"Fr\u00f8kj\u00e6r JB, Andersen LW, Brock C, Simr\u00e9n M, Ljungberg M, S\u00f8fteland E, et al. Altered brain microstructure assessed by Diffusion Tensor Imaging in patients with diabetes and gastrointestinal symptoms. Diabetes Care. 2013;36:662\u20138.","journal-title":"Diabetes Care"},{"key":"3745_CR47","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1007\/s11682-017-9702-2","volume":"12","author":"AR Mayer","year":"2018","unstructured":"Mayer AR, Dodd AB, Ling JM, Wertz CJ, Shaff NA, Bedrick EJ, et al. An evaluation of Z-transform algorithms for identifying subject-specific abnormalities in neuroimaging data. Brain Imaging Behav. 2018;12:437\u201348.","journal-title":"Brain Imaging Behav"},{"key":"3745_CR48","doi-asserted-by":"crossref","unstructured":"Stillo D, Danielli E, Ho RA, DeMatteo C, Hall GB, Bock NA et al. Localization and identification of Brain Microstructural abnormalities in Paediatric Concussion. Front Hum Neurosci. 2021;15.","DOI":"10.3389\/fnhum.2021.657374"},{"key":"3745_CR49","doi-asserted-by":"publisher","first-page":"116889","DOI":"10.1016\/j.neuroimage.2020.116889","volume":"218","author":"G Theaud","year":"2020","unstructured":"Theaud G, Houde J-C, Bor\u00e9 A, Rheault F, Morency F, Descoteaux M. TractoFlow: a robust, efficient and reproducible diffusion MRI pipeline leveraging Nextflow & Singularity. NeuroImage. 2020;218:116889.","journal-title":"NeuroImage"},{"key":"3745_CR50","doi-asserted-by":"publisher","first-page":"102093","DOI":"10.1016\/j.media.2021.102093","volume":"72","author":"A Th\u00e9berge","year":"2021","unstructured":"Th\u00e9berge A, Desrosiers C, Descoteaux M, Jodoin P-M. Track-to-Learn: a general framework for tractography with deep reinforcement learning. Med Image Anal. 2021;72:102093.","journal-title":"Med Image Anal"},{"key":"3745_CR51","unstructured":"BrainSpec, Boston MA. 2023. https:\/\/practicalneurology.com\/news\/brainspec-ai-software-receives-fda-clearance-to-assist-in-diagnosis-of-neurologic-disorders-using-mr-spectroscopy."},{"key":"3745_CR52","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1007\/s11682-020-00330-6","volume":"15","author":"BL Bartnik-Olson","year":"2021","unstructured":"Bartnik-Olson BL, Alger JR, Babikian T, Harris AD, Holshouser B, Kirov II, et al. The clinical utility of proton magnetic resonance spectroscopy in traumatic brain injury: recommendations from the ENIGMA MRS working group. Brain Imaging Behav. 2021;15:504\u201325.","journal-title":"Brain Imaging Behav"},{"key":"3745_CR53","doi-asserted-by":"publisher","first-page":"1045678","DOI":"10.3389\/fneur.2022.1045678","volume":"13","author":"AD Harris","year":"2022","unstructured":"Harris AD, Amiri H, Bento M, Cohen R, Ching CRK, Cudalbu C, et al. Harmonization of multi-scanner in vivo magnetic resonance spectroscopy: ENIGMA consortium task group considerations. Front Neurol. 2022;13:1045678.","journal-title":"Front Neurol"},{"key":"3745_CR54","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1002\/mrm.25568","volume":"75","author":"R Kreis","year":"2016","unstructured":"Kreis R. The trouble with quality filtering based on relative C ram\u00e9r-R ao lower bounds. Magn Reson Med. 2016;75:15\u20138.","journal-title":"Magn Reson Med"},{"key":"3745_CR55","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"Y Benjamini","year":"1995","unstructured":"Benjamini Y, Hochberg Y. Controlling the false Discovery rate: a practical and powerful Approach to multiple testing. J Roy Stat Soc: Ser B (Methodol). 1995;57:289\u2013300.","journal-title":"J Roy Stat Soc: Ser B (Methodol)"},{"key":"3745_CR56","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.jns.2007.03.027","volume":"260","author":"M Waragai","year":"2007","unstructured":"Waragai M, Yamada T, Matsuda H. Evaluation of brain perfusion SPECT using an easy Z-score imaging system (eZIS) as an adjunct to early-diagnosis of neurodegenerative diseases. J Neurol Sci. 2007;260:57\u201364.","journal-title":"J Neurol Sci"},{"key":"3745_CR57","first-page":"731","volume":"28","author":"H Matsuda","year":"2007","unstructured":"Matsuda H, Mizumura S, Nagao T, Ota T, Iizuka T, Nemoto K, et al. Automated discrimination between very early Alzheimer disease and controls using an easy Z-Score imaging system for multicenter brain perfusion single-photon emission tomography. Am J Neuroradiol. 2007;28:731.","journal-title":"Am J Neuroradiol"},{"key":"3745_CR58","first-page":"1238","volume":"36","author":"S Minoshima","year":"1995","unstructured":"Minoshima S, Frey KA, Koeppe RA, Foster NL, Kuhl DE. A Diagnostic Approach in Alzheimer\u2019s Disease using three-dimensional stereotactic surface projections of Fluorine-18-FDG PET. J Nucl Med. 1995;36:1238.","journal-title":"J Nucl Med"},{"key":"3745_CR59","first-page":"1238","volume":"36","author":"PA Herscovitch","year":"2020","unstructured":"Herscovitch PA, Pioneering Paper. That provided a Tool for Accurate, Observer-Independent analysis of 18F-FDG brain scans in neurodegenerative dementias (perspective on a Diagnostic Approach in Alzheimer\u2019s Disease using. J Nucl Med. 2020;36:1238\u201348. Supplement 2:140S. Three-Dimensional Stereotactic Surface Projections of Fluorine-18-FDG PET \u2009J Nucl Med.\u20091995.","journal-title":"J Nucl Med"},{"key":"3745_CR60","doi-asserted-by":"publisher","first-page":"E1","DOI":"10.3174\/ajnr.A4181","volume":"36","author":"M Wintermark","year":"2015","unstructured":"Wintermark M, Sanelli PC, Anzai Y, Tsiouris AJ, Whitlow CT. Imaging evidence and recommendations for traumatic Brain Injury: Advanced Neuro- and neurovascular imaging techniques. Am J Neuroradiol. 2015;36:E1.","journal-title":"Am J Neuroradiol"},{"key":"3745_CR61","unstructured":"Hura Imaging Inc. http:\/\/www.huraimaging.com\/#products. Accessed 23 Jun 2024."},{"key":"3745_CR62","unstructured":"Quantified Imaging Ltd. https:\/\/quantified-imaging.com\/. Accessed 23 Jun 2024."},{"key":"3745_CR63","doi-asserted-by":"publisher","first-page":"933","DOI":"10.1111\/jon.13153","volume":"33","author":"JB Andre","year":"2023","unstructured":"Andre JB, Oztek MA, Anzai Y, Wilson GJ, Mossa-Basha M, Hippe DS, et al. Evaluation of 3-dimensional stereotactic surface projection rendering of arterial spin labeling data in a clinical cohort. J Neuroimaging. 2023;33:933\u201340.","journal-title":"J Neuroimaging"},{"key":"3745_CR64","unstructured":"CORTECHS Labs. Clinical training neuroQuant. 2017. https:\/\/the-imaging-centers.com\/wp-content\/uploads\/2019\/05\/MD-Training_NQ.pdf. Accessed 23 Jun 2024."},{"key":"3745_CR65","doi-asserted-by":"publisher","first-page":"2064","DOI":"10.3174\/ajnr.A3395","volume":"34","author":"MB Hulkower","year":"2013","unstructured":"Hulkower MB, Poliak DB, Rosenbaum SB, Zimmerman ME, Lipton ML. A decade of DTI in Traumatic Brain Injury: 10 years and 100 articles later. Am J Neuroradiol. 2013;34:2064.","journal-title":"Am J Neuroradiol"},{"key":"3745_CR66","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1542\/hpeds.2014-0094","volume":"5","author":"SDW Buttram","year":"2015","unstructured":"Buttram SDW, Garcia-Filion P, Miller J, Youssfi M, Danielle Brown S, Dalton HJ, et al. Computed tomography vs magnetic resonance imaging for identifying Acute lesions in Pediatric Traumatic Brain Injury. Hosp Pediatr. 2015;5:79\u201384.","journal-title":"Hosp Pediatr"},{"key":"3745_CR67","doi-asserted-by":"crossref","unstructured":"Marcoux J, McArthur DA, Miller C, Glenn TC, Villablanca P, Martin NA et al. Persistent metabolic crisis as measured by elevated cerebral microdialysis lactate-pyruvate ratio predicts chronic frontal lobe brain atrophy after traumatic brain injury*. Crit Care Med. 2008;36.","DOI":"10.1097\/CCM.0b013e318186a4a0"},{"key":"3745_CR68","doi-asserted-by":"publisher","first-page":"e210994","DOI":"10.1001\/jamanetworkopen.2021.0994","volume":"4","author":"S Richter","year":"2021","unstructured":"Richter S, Winzeck S, Kornaropoulos EN, Das T, Vande Vyvere T, Verheyden J, et al. Neuroanatomical Substrates and symptoms Associated with magnetic resonance imaging of patients with mild traumatic brain Injury. JAMA Netw Open. 2021;4:e210994\u2013210994.","journal-title":"JAMA Netw Open"},{"key":"3745_CR69","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1176\/appi.neuropsych.11120377","volume":"25","author":"DE Ross","year":"2013","unstructured":"Ross DE, Ochs AL, Seabaugh JM, Shrader CR. Man Versus Machine: comparison of radiologists\u2019 interpretations and NeuroQuant\u00ae Volumetric analyses of brain MRIs in patients with traumatic brain Injury. JNP. 2013;25:32\u20139.","journal-title":"JNP"},{"key":"3745_CR70","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1176\/appi.neuropsych.13040088","volume":"27","author":"DE Ross","year":"2015","unstructured":"Ross DE, Ochs AL, DeSmit ME, Seabaugh JM, Havranek MD. Man Versus Machine Part 2: comparison of radiologists\u2019 interpretations and NeuroQuant measures of Brain asymmetry and progressive atrophy in patients with traumatic brain Injury. JNP. 2015;27:147\u201352.","journal-title":"JNP"},{"key":"3745_CR71","doi-asserted-by":"publisher","first-page":"CNC101","DOI":"10.2217\/cnc-2022-0003","volume":"8","author":"DE Ross","year":"2023","unstructured":"Ross DE, Seabaugh JD, Seabaugh JM, Alvarez C, Ellis LP, Powell C, et al. Journey to the other side of the brain: asymmetry in patients with chronic mild or moderate traumatic brain injury. Concussion. 2023;8:CNC101.","journal-title":"Concussion"},{"key":"3745_CR72","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1089\/neu.2019.6487","volume":"37","author":"AA Vakhtin","year":"2020","unstructured":"Vakhtin AA, Zhang Y, Wintermark M, Massaband P, Robinson MT, Ashford JW, et al. White Matter Asymmetry: a reflection of Pathology in Traumatic Brain Injury. J Neurotrauma. 2020;37:373\u201381.","journal-title":"J Neurotrauma"},{"key":"3745_CR73","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1080\/02699052.2019.1669074","volume":"34","author":"DE Ross","year":"2020","unstructured":"Ross DE, Seabaugh JD, Seabaugh JM, Alvarez C, Ellis LP, Powell C, et al. Patients with chronic mild or moderate traumatic brain injury have abnormal brain enlargement. Brain Injury. 2020;34:11\u20139.","journal-title":"Brain Injury"},{"key":"3745_CR74","doi-asserted-by":"publisher","first-page":"H1118","DOI":"10.1152\/ajpheart.00267.2016","volume":"311","author":"P Toth","year":"2016","unstructured":"Toth P, Szarka N, Farkas E, Ezer E, Czeiter E, Amrein K, et al. Traumatic brain injury-induced autoregulatory dysfunction and spreading depression-related neurovascular uncoupling: pathomechanisms, perspectives, and therapeutic implications. Am J Physiol Heart Circ Physiol. 2016;311:H1118\u201331.","journal-title":"Am J Physiol Heart Circ Physiol"},{"key":"3745_CR75","doi-asserted-by":"crossref","unstructured":"Hu L, Yang S, Jin B, Wang C. Advanced Neuroimaging Role in Traumatic Brain Injury: a narrative review. Front NeuroSci. 2022;16.","DOI":"10.3389\/fnins.2022.872609"},{"key":"3745_CR76","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1038\/s41598-017-00161-4","volume":"7","author":"A Obenaus","year":"2017","unstructured":"Obenaus A, Ng M, Orantes AM, Kinney-Lang E, Rashid F, Hamer M, et al. Traumatic brain injury results in acute rarefication of the vascular network. Sci Rep. 2017;7:239.","journal-title":"Sci Rep"},{"key":"3745_CR77","doi-asserted-by":"publisher","first-page":"e0149109","DOI":"10.1371\/journal.pone.0149109","volume":"11","author":"C Lin","year":"2016","unstructured":"Lin C, Tseng Y-C, Hsu H-L, Chen C-J, Chen D, Yan F-X, et al. Arterial spin labeling perfusion study in the patients with subacute mild traumatic brain Injury. PLoS ONE. 2016;11:e0149109.","journal-title":"PLoS ONE"},{"key":"3745_CR78","doi-asserted-by":"publisher","first-page":"16","DOI":"10.52547\/nl.2.1.16","volume":"2","author":"F Nabizadeh","year":"2023","unstructured":"Nabizadeh F, Balabandian M, Rostami MR, Mehrabi S, Sedighi M. Regional cerebral blood flow and brain atrophy in mild cognitive impairment and Alzheimer\u2019s disease. Neurol Lett. 2023;2:16\u201324.","journal-title":"Neurol Lett"},{"key":"3745_CR79","doi-asserted-by":"crossref","unstructured":"Gonzalez AC, Kim M, Keser Z, Ibrahim L, Singh SK, Ahmad MJ et al. Diffusion Tensor Imaging correlates of Concussion related cognitive impairment. Front Neurol. 2021;12.","DOI":"10.3389\/fneur.2021.639179"},{"key":"3745_CR80","doi-asserted-by":"publisher","first-page":"2308","DOI":"10.1016\/j.apmr.2017.03.019","volume":"98","author":"L Oehr","year":"2017","unstructured":"Oehr L, Anderson J. Diffusion-Tensor Imaging findings and cognitive function following hospitalized mixed-mechanism mild traumatic brain Injury: a systematic review and Meta-analysis. Arch Phys Med Rehabil. 2017;98:2308\u201319.","journal-title":"Arch Phys Med Rehabil"},{"key":"3745_CR81","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1089\/neu.2009.1073","volume":"27","author":"HS Levin","year":"2010","unstructured":"Levin HS, Wilde E, Troyanskaya M, Petersen NJ, Scheibel R, Newsome M, et al. Diffusion Tensor Imaging of mild to Moderate Blast-Related Traumatic Brain Injury and its sequelae. J Neurotrauma. 2010;27:683\u201394.","journal-title":"J Neurotrauma"},{"key":"3745_CR82","doi-asserted-by":"crossref","unstructured":"Niogi SN, Mukherjee P. Diffusion Tensor imaging of mild traumatic brain Injury. J Head Trauma Rehabil. 2010;25.","DOI":"10.1097\/HTR.0b013e3181e52c2a"},{"key":"3745_CR83","doi-asserted-by":"publisher","first-page":"870","DOI":"10.1136\/jnnp-2012-302742","volume":"83","author":"R Yuta Aoki","year":"2012","unstructured":"Yuta Aoki R, Inokuchi M, Gunshin N, Yahagi H, Suwa. Diffusion tensor imaging studies of mild traumatic brain injury: a meta-analysis. J Neurol Neurosurg Psychiatry. 2012;83:870.","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"3745_CR84","doi-asserted-by":"publisher","first-page":"2508","DOI":"10.1093\/brain\/awm216","volume":"130","author":"MF Kraus","year":"2007","unstructured":"Kraus MF, Susmaras T, Caughlin BP, Walker CJ, Sweeney JA, Little DM. White matter integrity and cognition in chronic traumatic brain injury: a diffusion tensor imaging study. Brain. 2007;130:2508\u201319.","journal-title":"Brain"},{"key":"3745_CR85","doi-asserted-by":"crossref","unstructured":"Dean PJA, Otaduy MCG, Harris LM, McNamara A, Seiss E, Sterr A. Monitoring long-term effects of mild traumatic brain injury with magnetic resonance spectroscopy: a pilot study. NeuroReport. 2013;24.","DOI":"10.1097\/WNR.0b013e3283637aa4"},{"key":"3745_CR86","doi-asserted-by":"crossref","unstructured":"Harris NG, Verley DR, Gutman BA, Sutton RL. Bi-directional changes in fractional anisotropy after experiment TBI: disorganization and reorganization? NeuroImage. 2016;133:129\u201343.","DOI":"10.1016\/j.neuroimage.2016.03.012"},{"key":"3745_CR87","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1212\/WNL.0b013e3181d0ccdd","volume":"74","author":"AR Mayer","year":"2010","unstructured":"Mayer AR, Ling J, Mannell MV, Gasparovic C, Phillips JP, Doezema D, et al. A prospective diffusion tensor imaging study in mild traumatic brain injury. Neurology. 2010;74:643\u201350.","journal-title":"Neurology"},{"key":"3745_CR88","doi-asserted-by":"publisher","first-page":"1447","DOI":"10.1089\/neu.2007.0241","volume":"24","author":"JJ Bazarian","year":"2007","unstructured":"Bazarian JJ, Zhong J, Blyth B, Zhu T, Kavcic V, Peterson D. Diffusion Tensor Imaging detects clinically important axonal damage after mild traumatic brain Injury: a pilot study. J Neurotrauma. 2007;24:1447\u201359.","journal-title":"J Neurotrauma"},{"key":"3745_CR89","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.nicl.2017.06.031","volume":"16","author":"KL Main","year":"2017","unstructured":"Main KL, Soman S, Pestilli F, Furst A, Noda A, Hernandez B, et al. DTI measures identify mild and moderate TBI cases among patients with complex health problems: a receiver operating characteristic analysis of U.S. veterans. NeuroImage: Clin. 2017;16:1\u201316.","journal-title":"NeuroImage: Clin"},{"key":"3745_CR90","doi-asserted-by":"publisher","first-page":"526","DOI":"10.1017\/S1355617707070634","volume":"13","author":"GG Brown","year":"2007","unstructured":"Brown GG, Clark C, Liu TT. Measurement of cerebral perfusion with arterial spin labeling: part 2. Applications. J Int Neuropsychological Society: JINS. 2007;13:526\u201338.","journal-title":"J Int Neuropsychological Society: JINS"},{"key":"3745_CR91","doi-asserted-by":"crossref","unstructured":"Croall I, Smith FE, Blamire AM. Magnetic resonance spectroscopy for traumatic brain Injury. Top Magn Reson Imaging. 2015;24.","DOI":"10.1097\/RMR.0000000000000063"},{"key":"3745_CR92","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1159\/000508098","volume":"20","author":"A Eisele","year":"2020","unstructured":"Eisele A, Hill-Strathy M, Michels L, Rauen K. Magnetic resonance spectroscopy following mild traumatic brain Injury: a systematic review and Meta-analysis on the potential to detect posttraumatic neurodegeneration. Neurodegenerative Dis. 2020;20:2\u201311.","journal-title":"Neurodegenerative Dis"},{"key":"3745_CR93","doi-asserted-by":"publisher","first-page":"1018","DOI":"10.1089\/neu.2013.3224","volume":"31","author":"EO George","year":"2014","unstructured":"George EO, Roys S, Sours C, Rosenberg J, Zhuo J, Shanmuganathan K, et al. Longitudinal and prognostic evaluation of mild traumatic brain Injury: a 1H-Magnetic resonance spectroscopy study. J Neurotrauma. 2014;31:1018\u201328.","journal-title":"J Neurotrauma"},{"key":"3745_CR94","doi-asserted-by":"publisher","first-page":"1987","DOI":"10.1002\/hbm.21334","volume":"33","author":"AM Hedman","year":"2012","unstructured":"Hedman AM, van Haren NEM, Schnack HG, Kahn RS, Hulshoff Pol HE. Human brain changes across the life span: a review of 56 longitudinal magnetic resonance imaging studies. Hum Brain Mapp. 2012;33:1987\u20132002.","journal-title":"Hum Brain Mapp"},{"key":"3745_CR95","doi-asserted-by":"publisher","first-page":"102171","DOI":"10.1016\/j.compmedimag.2022.102171","volume":"104","author":"H-D Nguyen","year":"2023","unstructured":"Nguyen H-D, Cl\u00e9ment M, Mansencal B, Coup\u00e9 P. Towards better interpretable and generalizable AD detection using collective artificial intelligence. Comput Med Imaging Graph. 2023;104:102171.","journal-title":"Comput Med Imaging Graph"},{"key":"3745_CR96","doi-asserted-by":"publisher","first-page":"e26558","DOI":"10.1002\/hbm.26558","volume":"45","author":"H-D Nguyen","year":"2024","unstructured":"Nguyen H-D, Cl\u00e9ment M, Mansencal B, Coup\u00e9 P. Brain structure ages\u2014A new biomarker for multi-disease classification. Hum Brain Mapp. 2024;45:e26558.","journal-title":"Hum Brain Mapp"},{"key":"3745_CR97","doi-asserted-by":"publisher","first-page":"3270","DOI":"10.1002\/hbm.25850","volume":"43","author":"P Coup\u00e9","year":"2022","unstructured":"Coup\u00e9 P, Manj\u00f3n JV, Mansencal B, Tourdias T, Catheline G, Planche V. Hippocampal-amygdalo-ventricular atrophy score: Alzheimer disease detection using normative and pathological lifespan models. Hum Brain Mapp. 2022;43:3270\u201382.","journal-title":"Hum Brain Mapp"},{"key":"3745_CR98","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1159\/000520966","volume":"56","author":"D Gu","year":"2021","unstructured":"Gu D, Ou S, Liu G. Traumatic brain Injury and Risk of Dementia and Alzheimer\u2019s Disease: a systematic review and Meta-analysis. Neuroepidemiology. 2021;56:4\u201316.","journal-title":"Neuroepidemiology"}],"container-title":["BMC Neurology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12883-024-03745-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12883-024-03745-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12883-024-03745-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,5]],"date-time":"2024-07-05T09:07:03Z","timestamp":1720170423000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-024-03745-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,5]]},"references-count":98,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["3745"],"URL":"https:\/\/doi.org\/10.1186\/s12883-024-03745-6","relation":{},"ISSN":["1471-2377"],"issn-type":[{"value":"1471-2377","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,5]]},"assertion":[{"value":"21 February 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 June 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 July 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"As the study data were gathered under IRB exemption number Pro00071328, consent for participant or publication were not required.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"As the study data were gathered under IRB exemption number Pro00071328, consent for participant or publication were not required.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"Dr. Raji is a consultant for Brainreader ApS, Voxelwise LLC, Neurevolution LLC, and the Pacific Neuroscience Institute Foundation.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"235"}}