{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T11:22:34Z","timestamp":1772882554646,"version":"3.50.1"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1011274","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T00:00:00Z","timestamp":1706140800000}}],"reference-count":98,"publisher":"Public Library of Science (PLoS)","issue":"1","license":[{"start":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of University and Research, Italy","award":["2022HSKLK9"],"award-info":[{"award-number":["2022HSKLK9"]}]},{"name":"Department of Information Engineering of the University of Padova","award":["DEI Proactive grant \u201cPersonalized whole brain models for neuroscience: inference and validation\u201d"],"award-info":[{"award-number":["DEI Proactive grant \u201cPersonalized whole brain models for neuroscience: inference and validation\u201d"]}]},{"name":"the Fondazione Cassa di Risparmio di Padova e Rovigo","award":["55403"],"award-info":[{"award-number":["55403"]}]},{"DOI":"10.13039\/501100003196","name":"Ministry of Health, Italy","doi-asserted-by":"crossref","award":["RF-2008-12366899"],"award-info":[{"award-number":["RF-2008-12366899"]}],"id":[{"id":"10.13039\/501100003196","id-type":"DOI","asserted-by":"crossref"}]},{"name":"BIAL foundation","award":["361\/18"],"award-info":[{"award-number":["361\/18"]}]},{"name":"H2020 European School of Network Neuroscience","award":["869505"],"award-info":[{"award-number":["869505"]}]},{"DOI":"10.13039\/501100003196","name":"Ministry of Health, Italy","doi-asserted-by":"crossref","award":["RF-2019-12369300"],"award-info":[{"award-number":["RF-2019-12369300"]}],"id":[{"id":"10.13039\/501100003196","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100000780","name":"European Union","doi-asserted-by":"crossref","award":["101071900"],"award-info":[{"award-number":["101071900"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>The network control theory framework holds great potential to inform neurostimulation experiments aimed at inducing desired activity states in the brain. However, the current applicability of the framework is limited by inappropriate modeling of brain dynamics, and an overly ambitious focus on whole-brain activity control. In this work, we leverage recent progress in linear modeling of brain dynamics (effective connectivity) and we exploit the concept of target controllability to focus on the control of a single region or a small subnetwork of nodes. We discuss when control may be possible with a reasonably low energy cost and few stimulation loci, and give general predictions on where to stimulate depending on the subset of regions one wishes to control. Importantly, using the robustly asymmetric effective connectome instead of the symmetric structural connectome (as in previous research), we highlight the fundamentally different roles in- and out-hubs have in the control problem, and the relevance of inhibitory connections. The large degree of inter-individual variation in the effective connectome implies that the control problem is best formulated at the individual level, but we discuss to what extent group results may still prove useful.<\/jats:p>","DOI":"10.1371\/journal.pcbi.1011274","type":"journal-article","created":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T13:40:50Z","timestamp":1705066850000},"page":"e1011274","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":11,"title":["Controlling target brain regions by optimal selection of input nodes"],"prefix":"10.1371","volume":"20","author":[{"given":"Karan Kabbur Hanumanthappa","family":"Manjunatha","sequence":"first","affiliation":[]},{"given":"Giorgia","family":"Baron","sequence":"additional","affiliation":[]},{"given":"Danilo","family":"Benozzo","sequence":"additional","affiliation":[]},{"given":"Erica","family":"Silvestri","sequence":"additional","affiliation":[]},{"given":"Maurizio","family":"Corbetta","sequence":"additional","affiliation":[]},{"given":"Alessandro","family":"Chiuso","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6262-6354","authenticated-orcid":true,"given":"Alessandra","family":"Bertoldo","sequence":"additional","affiliation":[]},{"given":"Samir","family":"Suweis","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5587-1861","authenticated-orcid":true,"given":"Michele","family":"Allegra","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2024,1,12]]},"reference":[{"issue":"3","key":"pcbi.1011274.ref001","doi-asserted-by":"crossref","first-page":"031003","DOI":"10.1103\/RevModPhys.90.031003","article-title":"Colloquium: Control of dynamics in brain networks","volume":"90","author":"E Tang","year":"2018","journal-title":"Reviews of modern physics"},{"issue":"5","key":"pcbi.1011274.ref002","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1038\/s42254-019-0040-8","article-title":"The physics of brain network structure, function and control","volume":"1","author":"CW Lynn","year":"2019","journal-title":"Nature Reviews Physics"},{"key":"pcbi.1011274.ref003","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1016\/j.neuroimage.2013.12.009","article-title":"A DCM for resting state fMRI","volume":"94","author":"KJ Friston","year":"2014","journal-title":"NeuroImage"},{"issue":"7346","key":"pcbi.1011274.ref004","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1038\/nature10011","article-title":"Controllability of complex networks","volume":"473","author":"YY Liu","year":"2011","journal-title":"nature"},{"issue":"1","key":"pcbi.1011274.ref005","first-page":"1","article-title":"Controllability of structural brain networks","volume":"6","author":"S Gu","year":"2015","journal-title":"Nature communications"},{"key":"pcbi.1011274.ref006","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.neuroimage.2018.04.010","article-title":"Warnings and caveats in brain controllability","volume":"176","author":"C Tu","year":"2018","journal-title":"NeuroImage"},{"key":"pcbi.1011274.ref007","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1016\/j.neuroimage.2019.05.001","article-title":"RE: Warnings and caveats in brain controllability","volume":"197","author":"F Pasqualetti","year":"2019","journal-title":"NeuroImage"},{"issue":"35","key":"pcbi.1011274.ref008","doi-asserted-by":"crossref","first-page":"6770","DOI":"10.1523\/JNEUROSCI.0531-20.2020","article-title":"Structural controllability predicts functional patterns and brain stimulation benefits associated with working memory","volume":"40","author":"L Beynel","year":"2020","journal-title":"Journal of Neuroscience"},{"issue":"9","key":"pcbi.1011274.ref009","doi-asserted-by":"crossref","first-page":"e1005076","DOI":"10.1371\/journal.pcbi.1005076","article-title":"Stimulation-based control of dynamic brain networks","volume":"12","author":"SF Muldoon","year":"2016","journal-title":"PLoS computational biology"},{"issue":"10","key":"pcbi.1011274.ref010","doi-asserted-by":"crossref","first-page":"2554","DOI":"10.1016\/j.celrep.2019.08.008","article-title":"White matter network architecture guides direct electrical stimulation through optimal state transitions","volume":"28","author":"J Stiso","year":"2019","journal-title":"Cell reports"},{"issue":"1","key":"pcbi.1011274.ref011","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/TCNS.2014.2310254","article-title":"Controllability metrics, limitations and algorithms for complex networks","volume":"1","author":"F Pasqualetti","year":"2014","journal-title":"IEEE Transactions on Control of Network Systems"},{"key":"pcbi.1011274.ref012","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.neuropsychologia.2018.01.001","article-title":"Driving the brain towards creativity and intelligence: A network control theory analysis","volume":"118","author":"YN Kenett","year":"2018","journal-title":"Neuropsychologia"},{"issue":"1","key":"pcbi.1011274.ref013","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41467-017-01254-4","article-title":"Developmental increases in white matter network controllability support a growing diversity of brain dynamics","volume":"8","author":"E Tang","year":"2017","journal-title":"Nature communications"},{"key":"pcbi.1011274.ref014","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.neuroimage.2018.11.048","article-title":"Sex differences in network controllability as a predictor of executive function in youth","volume":"188","author":"EJ Cornblath","year":"2019","journal-title":"NeuroImage"},{"issue":"5","key":"pcbi.1011274.ref015","doi-asserted-by":"crossref","first-page":"3044","DOI":"10.1093\/cercor\/bhz293","article-title":"Heritability and cognitive relevance of structural brain controllability","volume":"30","author":"WH Lee","year":"2020","journal-title":"Cerebral Cortex"},{"key":"pcbi.1011274.ref016","unstructured":"Hahn T, Jamalabadi H, Emden D, Goltermann J, Ernsting J, Winter NR, et al. A Network Control Theory Approach to Longitudinal Symptom Dynamics in Major Depressive Disorder. arXiv preprint arXiv:210710178. 2021;."},{"issue":"1","key":"pcbi.1011274.ref017","first-page":"1","article-title":"Dynamic causal brain circuits during working memory and their functional controllability","volume":"12","author":"W Cai","year":"2021","journal-title":"Nature Communications"},{"key":"pcbi.1011274.ref018","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1016\/j.jad.2021.07.106","article-title":"Brain controllability distinctiveness between depression and cognitive impairment","volume":"294","author":"F Fang","year":"2021","journal-title":"Journal of Affective Disorders"},{"issue":"9","key":"pcbi.1011274.ref019","doi-asserted-by":"crossref","first-page":"S370","DOI":"10.1016\/j.biopsych.2021.02.922","article-title":"Network controllability in transmodal cortex predicts psychosis spectrum symptoms","volume":"89","author":"L Parkes","year":"2021","journal-title":"Biological Psychiatry"},{"issue":"7","key":"pcbi.1011274.ref020","doi-asserted-by":"crossref","first-page":"2181","DOI":"10.1002\/hbm.25358","article-title":"Structural control energy of resting-state functional brain states reveals less cost-effective brain dynamics in psychosis vulnerability","volume":"42","author":"D Z\u00f6ller","year":"2021","journal-title":"Human brain mapping"},{"issue":"20","key":"pcbi.1011274.ref021","article-title":"Controllability Transition and Nonlocality in Network Control","volume":"110","author":"J Sun","year":"2013","journal-title":"Physical Review Letters"},{"issue":"3","key":"pcbi.1011274.ref022","doi-asserted-by":"crossref","first-page":"1516","DOI":"10.1093\/cercor\/bhz182","article-title":"Cognitive enhancement via network-targeted cortico-cortical associative brain stimulation","volume":"30","author":"D Momi","year":"2020","journal-title":"Cerebral Cortex"},{"issue":"3","key":"pcbi.1011274.ref023","doi-asserted-by":"crossref","first-page":"e1004762","DOI":"10.1371\/journal.pcbi.1004762","article-title":"Estimation of directed effective connectivity from fMRI functional connectivity hints at asymmetries of cortical connectome","volume":"12","author":"M Gilson","year":"2016","journal-title":"PLoS computational biology"},{"key":"pcbi.1011274.ref024","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neuroimage.2014.11.027","article-title":"Construct validation of a DCM for resting state fMRI","volume":"106","author":"A Razi","year":"2015","journal-title":"Neuroimage"},{"key":"pcbi.1011274.ref025","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1016\/j.neuroimage.2018.05.058","article-title":"A generative model of whole-brain effective connectivity","volume":"179","author":"S Fr\u00e4ssle","year":"2018","journal-title":"Neuroimage"},{"key":"pcbi.1011274.ref026","doi-asserted-by":"crossref","first-page":"116367","DOI":"10.1016\/j.neuroimage.2019.116367","article-title":"Sparse DCM for whole-brain effective connectivity from resting-state fMRI data","volume":"208","author":"G Prando","year":"2020","journal-title":"NeuroImage"},{"issue":"1","key":"pcbi.1011274.ref027","article-title":"Target control of complex networks","volume":"5","author":"J Gao","year":"2014","journal-title":"Nature Communications"},{"issue":"1","key":"pcbi.1011274.ref028","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/sdata.2018.308","article-title":"A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults","volume":"6","author":"A Babayan","year":"2019","journal-title":"Scientific data"},{"key":"pcbi.1011274.ref029","doi-asserted-by":"crossref","first-page":"552","DOI":"10.1016\/j.neuroimage.2019.07.012","article-title":"Brain controllability: not a slam dunk yet","volume":"200","author":"S Suweis","year":"2019","journal-title":"Neuroimage"},{"key":"pcbi.1011274.ref030","first-page":"19","article-title":"Clinical applications of resting state functional connectivity","author":"MD Fox","year":"2010","journal-title":"Frontiers in systems neuroscience"},{"issue":"4","key":"pcbi.1011274.ref031","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1097\/WCO.0b013e328306f2c5","article-title":"Resting-state functional connectivity in neuropsychiatric disorders","volume":"21","author":"M Greicius","year":"2008","journal-title":"Current opinion in neurology"},{"issue":"3","key":"pcbi.1011274.ref032","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/S1474-4422(03)00321-1","article-title":"Transcranial magnetic stimulation in neurology","volume":"2","author":"M Kobayashi","year":"2003","journal-title":"The Lancet Neurology"},{"issue":"6","key":"pcbi.1011274.ref033","doi-asserted-by":"crossref","first-page":"1029","DOI":"10.1016\/j.cell.2017.05.024","article-title":"Noninvasive deep brain stimulation via temporally interfering electric fields","volume":"169","author":"N Grossman","year":"2017","journal-title":"cell"},{"issue":"3","key":"pcbi.1011274.ref034","doi-asserted-by":"crossref","first-page":"1129","DOI":"10.1002\/hbm.25714","article-title":"Unveiling whole-brain dynamics in normal aging through Hidden Markov Models","volume":"43","author":"M Moretto","year":"2022","journal-title":"Human Brain Mapping"},{"issue":"6","key":"pcbi.1011274.ref035","doi-asserted-by":"crossref","first-page":"1310","DOI":"10.1109\/TMI.2010.2046908","article-title":"N4ITK: improved N3 bias correction","volume":"29","author":"NJ Tustison","year":"2010","journal-title":"IEEE transactions on medical imaging"},{"issue":"12","key":"pcbi.1011274.ref036","doi-asserted-by":"crossref","first-page":"1566","DOI":"10.1016\/j.acra.2013.09.010","article-title":"Multi-atlas skull-stripping","volume":"20","author":"J Doshi","year":"2013","journal-title":"Academic radiology"},{"issue":"3","key":"pcbi.1011274.ref037","doi-asserted-by":"crossref","first-page":"2033","DOI":"10.1016\/j.neuroimage.2010.09.025","article-title":"A reproducible evaluation of ANTs similarity metric performance in brain image registration","volume":"54","author":"BB Avants","year":"2011","journal-title":"Neuroimage"},{"issue":"1","key":"pcbi.1011274.ref038","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.neuroimage.2010.07.033","article-title":"Unbiased average age-appropriate atlases for pediatric studies","volume":"54","author":"V Fonov","year":"2011","journal-title":"Neuroimage"},{"issue":"2","key":"pcbi.1011274.ref039","doi-asserted-by":"crossref","first-page":"870","DOI":"10.1016\/S1053-8119(03)00336-7","article-title":"How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging","volume":"20","author":"JL Andersson","year":"2003","journal-title":"Neuroimage"},{"issue":"2","key":"pcbi.1011274.ref040","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1006\/nimg.2002.1132","article-title":"Improved optimization for the robust and accurate linear registration and motion correction of brain images","volume":"17","author":"M Jenkinson","year":"2002","journal-title":"Neuroimage"},{"issue":"1","key":"pcbi.1011274.ref041","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.neuroimage.2009.06.060","article-title":"Accurate and robust brain image alignment using boundary-based registration","volume":"48","author":"DN Greve","year":"2009","journal-title":"Neuroimage"},{"issue":"2","key":"pcbi.1011274.ref042","doi-asserted-by":"crossref","first-page":"fcac082","DOI":"10.1093\/braincomms\/fcac082","article-title":"Widespread cortical functional disconnection in gliomas: an individual network mapping approach","volume":"4","author":"E Silvestri","year":"2022","journal-title":"Brain communications"},{"key":"pcbi.1011274.ref043","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.nicl.2014.07.003","article-title":"Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia","volume":"5","author":"E Damaraju","year":"2014","journal-title":"NeuroImage: Clinical"},{"key":"pcbi.1011274.ref044","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1016\/j.neuroimage.2014.03.034","article-title":"ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging","volume":"95","author":"L Griffanti","year":"2014","journal-title":"Neuroimage"},{"issue":"9","key":"pcbi.1011274.ref045","doi-asserted-by":"crossref","first-page":"3095","DOI":"10.1093\/cercor\/bhx179","article-title":"Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI","volume":"28","author":"A Schaefer","year":"2018","journal-title":"Cerebral cortex"},{"key":"pcbi.1011274.ref046","doi-asserted-by":"crossref","first-page":"116189","DOI":"10.1016\/j.neuroimage.2019.116189","article-title":"Automated anatomical labelling atlas 3","volume":"206","author":"ET Rolls","year":"2020","journal-title":"Neuroimage"},{"key":"pcbi.1011274.ref047","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.jneumeth.2014.11.014","article-title":"Development and validation of consensus clustering-based framework for brain segmentation using resting fMRI","volume":"240","author":"S Ryali","year":"2015","journal-title":"Journal of neuroscience methods"},{"issue":"7","key":"pcbi.1011274.ref048","doi-asserted-by":"crossref","first-page":"e68910","DOI":"10.1371\/journal.pone.0068910","article-title":"BrainNet Viewer: a network visualization tool for human brain connectomics","volume":"8","author":"M Xia","year":"2013","journal-title":"PloS one"},{"issue":"4","key":"pcbi.1011274.ref049","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1016\/S1053-8119(03)00202-7","article-title":"Dynamic causal modelling","volume":"19","author":"KJ Friston","year":"2003","journal-title":"Neuroimage"},{"key":"pcbi.1011274.ref050","volume-title":"Mathematical control theory: deterministic finite dimensional systems","author":"ED Sontag","year":"2013"},{"issue":"1","key":"pcbi.1011274.ref051","doi-asserted-by":"crossref","DOI":"10.1038\/ncomms3447","article-title":"Exact controllability of complex networks","volume":"4","author":"Z Yuan","year":"2013","journal-title":"Nature Communications"},{"issue":"1-7","key":"pcbi.1011274.ref052","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/S0169-7552(98)00110-X","article-title":"The anatomy of a large-scale hypertextual web search engine","volume":"30","author":"S Brin","year":"1998","journal-title":"Computer networks and ISDN systems"},{"issue":"1","key":"pcbi.1011274.ref053","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-018-21398-7","article-title":"Minimum energy control for complex networks","volume":"8","author":"G Lindmark","year":"2018","journal-title":"Scientific Reports"},{"key":"pcbi.1011274.ref054","doi-asserted-by":"crossref","unstructured":"Lindmark G, Altafini C. Combining centrality measures for control energy reduction in network controllability problems. In: 2019 18th European Control Conference (ECC); 2019. p. 1518\u20131523.","DOI":"10.23919\/ECC.2019.8795867"},{"key":"pcbi.1011274.ref055","article-title":"Graph theory and complex networks","volume":"144","author":"M Van Steen","year":"2010","journal-title":"An introduction"},{"key":"pcbi.1011274.ref056","volume-title":"Nonparametric statistics: A step-by-step approach","author":"GW Corder","year":"2014"},{"issue":"5","key":"pcbi.1011274.ref057","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1002\/wics.111","article-title":"Rank aggregation methods","volume":"2","author":"S Lin","year":"2010","journal-title":"Wiley Interdisciplinary Reviews: Computational Statistics"},{"issue":"6","key":"pcbi.1011274.ref058","doi-asserted-by":"crossref","first-page":"e38398","DOI":"10.1371\/journal.pone.0038398","article-title":"Nodal dynamics, not degree distributions, determine the structural controllability of complex networks","volume":"7","author":"NJ Cowan","year":"2012","journal-title":"PloS one"},{"issue":"5","key":"pcbi.1011274.ref059","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1002\/ana.410280502","article-title":"Large-scale neurocognitive networks and distributed processing for attention, language, and memory","volume":"28","author":"MM Mesulam","year":"1990","journal-title":"Annals of Neurology: Official Journal of the American Neurological Association and the Child Neurology Society"},{"issue":"37","key":"pcbi.1011274.ref060","doi-asserted-by":"crossref","first-page":"13848","DOI":"10.1073\/pnas.0601417103","article-title":"Consistent resting-state networks across healthy subjects","volume":"103","author":"JS Damoiseaux","year":"2006","journal-title":"Proceedings of the national academy of sciences"},{"issue":"27","key":"pcbi.1011274.ref061","doi-asserted-by":"crossref","first-page":"9673","DOI":"10.1073\/pnas.0504136102","article-title":"The human brain is intrinsically organized into dynamic, anticorrelated functional networks","volume":"102","author":"MD Fox","year":"2005","journal-title":"Proceedings of the National Academy of Sciences"},{"issue":"4","key":"pcbi.1011274.ref062","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1016\/j.neuron.2011.09.006","article-title":"Functional network organization of the human brain","volume":"72","author":"JD Power","year":"2011","journal-title":"Neuron"},{"key":"pcbi.1011274.ref063","article-title":"Macroscale coupling between structural and effective connectivity in the mouse brain","author":"D Benozzo","year":"2023","journal-title":"bioRxiv"},{"key":"pcbi.1011274.ref064","article-title":"Controllability of Functional Brain Networks and Its Clinical Significance in First-Episode Schizophrenia","author":"Q Li","year":"2022","journal-title":"Schizophrenia Bulletin"},{"key":"pcbi.1011274.ref065","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.jad.2022.04.123","article-title":"Effects of escitalopram therapy on functional brain controllability in major depressive disorder","volume":"310","author":"F Fang","year":"2022","journal-title":"Journal of Affective Disorders"},{"issue":"1","key":"pcbi.1011274.ref066","doi-asserted-by":"crossref","first-page":"12458","DOI":"10.1038\/s41598-021-90663-z","article-title":"Perturbation of resting-state network nodes preferentially propagates to structurally rather than functionally connected regions","volume":"11","author":"D Momi","year":"2021","journal-title":"Scientific reports"},{"issue":"13","key":"pcbi.1011274.ref067","doi-asserted-by":"crossref","first-page":"R735","DOI":"10.1016\/j.cub.2018.05.083","article-title":"Strengthening functionally specific neural pathways with transcranial brain stimulation","volume":"28","author":"E Chiappini","year":"2018","journal-title":"Current Biology"},{"issue":"4","key":"pcbi.1011274.ref068","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1016\/j.brs.2018.03.014","article-title":"Multi-locus transcranial magnetic stimulation\u2014theory and implementation","volume":"11","author":"LM Koponen","year":"2018","journal-title":"Brain Stimulation"},{"issue":"7677","key":"pcbi.1011274.ref069","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1038\/nature24056","article-title":"Network control principles predict neuron function in the Caenorhabditis elegans connectome","volume":"550","author":"G Yan","year":"2017","journal-title":"Nature"},{"key":"pcbi.1011274.ref070","doi-asserted-by":"crossref","unstructured":"Tahmassebi A, Meyer-Baese U, Meyer-Baese A. Structural target controllability of brain networks in dementia. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE; 2021. p. 3978\u20133981.","DOI":"10.1109\/EMBC46164.2021.9630496"},{"key":"pcbi.1011274.ref071","first-page":"1","article-title":"The impact of aging on human brain network target controllability","author":"G Bassignana","year":"2022","journal-title":"Brain Structure and Function"},{"key":"pcbi.1011274.ref072","doi-asserted-by":"crossref","first-page":"119714","DOI":"10.1016\/j.neuroimage.2022.119714","article-title":"Effect of group-based vs individualized stimulation site selection on reliability of network-targeted TMS","volume":"264","author":"A Menardi","year":"2022","journal-title":"NeuroImage"},{"issue":"8","key":"pcbi.1011274.ref073","doi-asserted-by":"crossref","first-page":"e1005637","DOI":"10.1371\/journal.pcbi.1005637","article-title":"An optimal strategy for epilepsy surgery: Disruption of the rich-club?","volume":"13","author":"MA Lopes","year":"2017","journal-title":"PLoS computational biology"},{"issue":"6","key":"pcbi.1011274.ref074","doi-asserted-by":"crossref","first-page":"1418","DOI":"10.1016\/j.brs.2022.09.011","article-title":"Maximizing brain networks engagement via individualized connectome-wide target search","volume":"15","author":"A Menardi","year":"2022","journal-title":"Brain Stimulation"},{"issue":"14","key":"pcbi.1011274.ref075","doi-asserted-by":"crossref","first-page":"3867","DOI":"10.1073\/pnas.1515657113","article-title":"Direction of information flow in large-scale resting-state networks is frequency-dependent","volume":"113","author":"A Hillebrand","year":"2016","journal-title":"Proceedings of the National Academy of Sciences"},{"issue":"9","key":"pcbi.1011274.ref076","doi-asserted-by":"crossref","first-page":"2349","DOI":"10.1523\/JNEUROSCI.5587-06.2007","article-title":"Dissociable intrinsic connectivity networks for salience processing and executive control","volume":"27","author":"WW Seeley","year":"2007","journal-title":"Journal of Neuroscience"},{"issue":"1","key":"pcbi.1011274.ref077","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/j.neuroimage.2007.03.071","article-title":"The cognitive control network: Integrated cortical regions with dissociable functions","volume":"37","author":"MW Cole","year":"2007","journal-title":"Neuroimage"},{"issue":"13","key":"pcbi.1011274.ref078","doi-asserted-by":"crossref","first-page":"3445","DOI":"10.1523\/JNEUROSCI.0136-17.2017","article-title":"The dorsolateral prefrontal cortex, a dynamic cortical area to enhance top-down attentional control","volume":"37","author":"MB Brosnan","year":"2017","journal-title":"Journal of Neuroscience"},{"issue":"1","key":"pcbi.1011274.ref079","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1038\/s41386-021-01152-w","article-title":"The role of PFC networks in cognitive control and executive function","volume":"47","author":"V Menon","year":"2022","journal-title":"Neuropsychopharmacology"},{"issue":"13","key":"pcbi.1011274.ref080","doi-asserted-by":"crossref","first-page":"2883","DOI":"10.1016\/j.neuropsychologia.2007.06.015","article-title":"Left ventrolateral prefrontal cortex and the cognitive control of memory","volume":"45","author":"D Badre","year":"2007","journal-title":"Neuropsychologia"},{"issue":"5","key":"pcbi.1011274.ref081","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.tics.2008.02.004","article-title":"Cognitive control, hierarchy, and the rostro\u2013caudal organization of the frontal lobes","volume":"12","author":"D Badre","year":"2008","journal-title":"Trends in cognitive sciences"},{"issue":"3","key":"pcbi.1011274.ref082","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1038\/nrn755","article-title":"Control of goal-directed and stimulus-driven attention in the brain","volume":"3","author":"M Corbetta","year":"2002","journal-title":"Nature reviews neuroscience"},{"issue":"3","key":"pcbi.1011274.ref083","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.tins.2020.11.007","article-title":"A network perspective on sensorimotor learning","volume":"44","author":"H Sohn","year":"2021","journal-title":"Trends in Neurosciences"},{"issue":"5","key":"pcbi.1011274.ref084","doi-asserted-by":"crossref","first-page":"744","DOI":"10.1038\/nn.3993","article-title":"Learning-induced autonomy of sensorimotor systems","volume":"18","author":"DS Bassett","year":"2015","journal-title":"Nature neuroscience"},{"key":"pcbi.1011274.ref085","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1007\/s12311-011-0331-9","article-title":"Consensus paper: roles of the cerebellum in motor control\u2014the diversity of ideas on cerebellar involvement in movement","volume":"11","author":"M Manto","year":"2012","journal-title":"The Cerebellum"},{"issue":"8","key":"pcbi.1011274.ref086","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1038\/s41583-019-0189-2","article-title":"Striatal circuits for reward learning and decision-making","volume":"20","author":"J Cox","year":"2019","journal-title":"Nature Reviews Neuroscience"},{"issue":"1","key":"pcbi.1011274.ref087","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.tics.2017.11.002","article-title":"Large-scale gradients in human cortical organization","volume":"22","author":"JM Huntenburg","year":"2018","journal-title":"Trends in cognitive sciences"},{"issue":"8","key":"pcbi.1011274.ref088","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1038\/s41583-021-00474-4","article-title":"The default mode network in cognition: a topographical perspective","volume":"22","author":"J Smallwood","year":"2021","journal-title":"Nature reviews neuroscience"},{"issue":"1","key":"pcbi.1011274.ref089","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1038\/nrn.2017.149","article-title":"Communication dynamics in complex brain networks","volume":"19","author":"A Avena-Koenigsberger","year":"2018","journal-title":"Nature reviews neuroscience"},{"key":"pcbi.1011274.ref090","first-page":"2022","article-title":"Interrelated effects of age and parenthood on whole-brain controllability: protective effects of parenthood in mothers","author":"H Jamalabadi","year":"2022","journal-title":"bioRxiv"},{"issue":"2","key":"pcbi.1011274.ref091","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1523\/JNEUROSCI.1053-22.2022","article-title":"Optimal control costs of brain state transitions in linear stochastic systems","volume":"43","author":"S Kamiya","year":"2023","journal-title":"Journal of Neuroscience"},{"key":"pcbi.1011274.ref092","doi-asserted-by":"crossref","first-page":"560","DOI":"10.1016\/j.jpsychires.2020.10.030","article-title":"Functional connectivity changes and symptoms improvement after personalized, double-daily dosing, repetitive transcranial magnetic stimulation in obsessive-compulsive disorder: a pilot study","volume":"136","author":"A Mantovani","year":"2021","journal-title":"Journal of Psychiatric Research"},{"issue":"5","key":"pcbi.1011274.ref093","doi-asserted-by":"crossref","first-page":"782","DOI":"10.1016\/j.neuron.2020.07.020","article-title":"Ultra-slow oscillations in fMRI and resting-state connectivity: neuronal and vascular contributions and technical confounds","volume":"107","author":"PJ Drew","year":"2020","journal-title":"Neuron"},{"key":"pcbi.1011274.ref094","doi-asserted-by":"crossref","first-page":"117698","DOI":"10.1016\/j.neuroimage.2020.117698","article-title":"Network-level macroscale structural connectivity predicts propagation of transcranial magnetic stimulation","volume":"229","author":"D Momi","year":"2021","journal-title":"Neuroimage"},{"issue":"1","key":"pcbi.1011274.ref095","doi-asserted-by":"crossref","first-page":"31220","DOI":"10.1038\/srep31220","article-title":"Resting state brain dynamics and its transients: a combined TMS-EEG study","volume":"6","author":"M Bonnard","year":"2016","journal-title":"Scientific reports"},{"issue":"14","key":"pcbi.1011274.ref096","doi-asserted-by":"crossref","first-page":"8115","DOI":"10.1073\/pnas.1911240117","article-title":"Individualized perturbation of the human connectome reveals reproducible biomarkers of network dynamics relevant to cognition","volume":"117","author":"RA Ozdemir","year":"2020","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"pcbi.1011274.ref097","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1016\/j.neuroimage.2017.12.067","article-title":"Effective connectivity during working memory and resting states: A DCM study","volume":"169","author":"K Jung","year":"2018","journal-title":"NeuroImage"},{"issue":"36","key":"pcbi.1011274.ref098","doi-asserted-by":"crossref","first-page":"18088","DOI":"10.1073\/pnas.1905534116","article-title":"Awakening: Predicting external stimulation to force transitions between different brain states","volume":"116","author":"G Deco","year":"2019","journal-title":"Proceedings of the National Academy of Sciences"}],"updated-by":[{"DOI":"10.1371\/journal.pcbi.1011274","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T00:00:00Z","timestamp":1706140800000}}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1011274","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T13:49:39Z","timestamp":1706190579000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1011274"}},"subtitle":[],"editor":[{"given":"Hayriye","family":"Cagnan","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2024,1,12]]},"references-count":98,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,1,12]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1011274","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2023.06.19.545527","asserted-by":"object"}]},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,12]]}}}