{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T04:19:41Z","timestamp":1747196381417,"version":"3.40.5"},"reference-count":78,"publisher":"Public Library of Science (PLoS)","issue":"12","license":[{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"UMCG, Mandema stipend","award":["MA 18-02"],"award-info":[{"award-number":["MA 18-02"]}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:p>Research has shown that maladaptive personality characteristics, such as Neuroticism, are associated with poor outcome after mild traumatic brain injury (mTBI). The current exploratory study investigated the neural underpinnings of this process using dynamic functional network connectivity (dFNC) analyses of resting-state (rs) fMRI, and diffusion MRI (dMRI). Twenty-seven mTBI patients and 21 healthy controls (HC) were included. After measuring the Big Five personality dimensions, principal component analysis (PCA) was used to obtain a superordinate factor representing emotional instability, consisting of high Neuroticism, moderate Openness, and low Extraversion, Agreeableness, and Conscientiousness. Persistent symptoms were measured using the head injury symptom checklist at six months post-injury; symptom severity (i.e., sum of all items) was used for further analyses. For patients, brain MRI was performed in the sub-acute phase (~1 month) post-injury. Following parcellation of rs-fMRI using independent component analysis, leading eigenvector dynamic analysis (LEiDA) was performed to compute dynamic phase-locking brain states. Main patterns of brain diffusion were computed using tract-based spatial statistics followed by PCA. No differences in phase-locking state measures were found between patients and HC. Regarding dMRI, a trend significant decrease in fractional anisotropy was found in patients relative to HC, particularly in the fornix, genu of the corpus callosum, anterior and posterior corona radiata. Visiting one specific phase-locking state was associated with lower symptom severity after mTBI. This state was characterized by two clearly delineated communities (each community consisting of areas with synchronized phases): one representing an executive\/saliency system, with a strong contribution of the insulae and basal ganglia; the other representing the canonical default mode network. In patients who scored high on emotional instability, this relationship was even more pronounced. Dynamic phase-locking states were not related to findings on dMRI. Altogether, our results provide preliminary evidence for the coupling between personality and dFNC in the development of long-term symptoms after mTBI.<\/jats:p>","DOI":"10.1371\/journal.pone.0295984","type":"journal-article","created":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T18:40:52Z","timestamp":1702665652000},"page":"e0295984","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic phase-locking states and personality in sub-acute mild traumatic brain injury: An exploratory study"],"prefix":"10.1371","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9923-0866","authenticated-orcid":true,"given":"Harm J.","family":"van der Horn","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Myrthe E.","family":"de Koning","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Koen","family":"Visser","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marius G. J.","family":"Kok","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacoba M.","family":"Spikman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Myrthe E.","family":"Scheenen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7777-9484","authenticated-orcid":true,"given":"Remco J.","family":"Renken","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vince D.","family":"Calhoun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Victor M.","family":"Vergara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6715-0826","authenticated-orcid":true,"given":"Joana","family":"Cabral","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew R.","family":"Mayer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joukje","family":"van der Naalt","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2023,12,15]]},"reference":[{"key":"pone.0295984.ref001","doi-asserted-by":"crossref","first-page":"2497","DOI":"10.1007\/s00415-019-09335-8","article-title":"An integrated perspective linking physiological and psychological consequences of mild traumatic brain injury","author":"HJ van der Horn","year":"2020","journal-title":"Journal of Neurology"},{"key":"pone.0295984.ref002","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1212\/WNL.0000000000004214","article-title":"The spectrum of mild traumatic brain injury","volume":"89","author":"AR Mayer","year":"2017","journal-title":"Neurology"},{"key":"pone.0295984.ref003","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.neuron.2014.10.015","article-title":"The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery","volume":"84","author":"VD Calhoun","year":"2014","journal-title":"Neuron"},{"key":"pone.0295984.ref004","first-page":"1","article-title":"Functional outcome is tied to dynamic brain states after mild to moderate traumatic brain injury","author":"HJ van der Horn","year":"2019","journal-title":"Hum Brain Mapp"},{"key":"pone.0295984.ref005","doi-asserted-by":"crossref","first-page":"499735","DOI":"10.3389\/fncom.2019.00090","article-title":"Aberrant Whole-Brain Transitions and Dynamics of Spontaneous Network Microstates in Mild Traumatic Brain Injury.","volume":"13","author":"M Antonakakis","year":"2020","journal-title":"Front Comput Neurosci"},{"key":"pone.0295984.ref006","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.nicl.2018.03.017","article-title":"Dynamic functional network connectivity discriminates mild traumatic brain injury through machine learning","volume":"19","author":"VM Vergara","year":"2018","journal-title":"NeuroImage Clin"},{"key":"pone.0295984.ref007","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1007\/s00062-021-01082-6","article-title":"Aberrant Static and Dynamic Functional Network Connectivity in Acute Mild Traumatic Brain Injury with Cognitive Impairment.","volume":"32","author":"L Lu","year":"2022","journal-title":"Clin Neuroradiol"},{"key":"pone.0295984.ref008","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1089\/brain.2018.0629","article-title":"Dynamic Functional Network Analysis in Mild Traumatic Brain Injury.","volume":"9","author":"W Hou","year":"2019","journal-title":"Brain Connect"},{"key":"pone.0295984.ref009","doi-asserted-by":"crossref","first-page":"6620","DOI":"10.1093\/cercor\/bhac529","article-title":"Brain dynamics in triple-network interactions and its relation to multiple cognitive impairments in mild traumatic brain injury","volume":"33","author":"X Li","year":"2023","journal-title":"Cereb Cortex"},{"key":"pone.0295984.ref010","first-page":"159","volume-title":"Handbook of Personality: Theory and research","author":"R McCrae","year":"1999","edition":"2"},{"key":"pone.0295984.ref011","doi-asserted-by":"crossref","first-page":"1102","DOI":"10.1016\/j.apmr.2020.10.106","article-title":"Personal Factors Associated With Postconcussion Symptoms 3 Months After Mild Traumatic Brain Injury","volume":"102","author":"T Skandsen","year":"2021","journal-title":"Arch Phys Med Rehabil"},{"key":"pone.0295984.ref012","article-title":"Personality traits beyond Neuroticism predict post-concussive symptomatology in the post-acute period after mild traumatic brain injury in premorbidly healthy adults","author":"PA Summerell","year":"2021","journal-title":"Appl Neuropsychol Adult"},{"key":"pone.0295984.ref013","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1080\/02699052.2019.1581949","article-title":"Examining the relationship between neuroticism and post-concussion syndrome in mild traumatic brain injury","volume":"33","author":"ZC Merz","year":"2019","journal-title":"Brain Inj"},{"key":"pone.0295984.ref014","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1037\/0022-3514.88.1.139","article-title":"Delineating the structure of normal and abnormal personality: An integrative hierarchical approach","volume":"88","author":"KE Markon","year":"2005","journal-title":"J Pers Soc Psychol"},{"key":"pone.0295984.ref015","doi-asserted-by":"crossref","first-page":"1246","DOI":"10.1037\/0022-3514.73.6.1246","article-title":"Higher-order factors of the Big Five.","volume":"73","author":"JM Digman","year":"1997","journal-title":"J Pers Soc Psychol"},{"key":"pone.0295984.ref016","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1038\/npp.2014.169","article-title":"Connectomics and neuroticism: an altered functional network organization","volume":"40","author":"MN Servaas","year":"2015","journal-title":"Neuropsychopharmacology"},{"key":"pone.0295984.ref017","doi-asserted-by":"crossref","first-page":"1518","DOI":"10.1016\/j.neubiorev.2013.05.005","article-title":"Neuroticism and the brain: A quantitative meta-analysis of neuroimaging studies investigating emotion processing","volume":"37","author":"MN Servaas","year":"2013","journal-title":"Neurosci Biobehav Rev"},{"key":"pone.0295984.ref018","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1093\/scan\/nsaa044","article-title":"Robust prediction of individual personality from brain functional connectome","volume":"15","author":"H Cai","year":"2020","journal-title":"Soc Cogn Affect Neurosci"},{"key":"pone.0295984.ref019","doi-asserted-by":"crossref","first-page":"1664","DOI":"10.1002\/hbm.23942","article-title":"Motivation but not valence modulates neuroticism-dependent cingulate cortex and insula activity","volume":"39","author":"Y Deng","year":"2018","journal-title":"Hum Brain Mapp"},{"key":"pone.0295984.ref020","doi-asserted-by":"crossref","first-page":"1032","DOI":"10.1016\/j.jad.2018.11.002","article-title":"Personality traits are related with dynamic functional connectivity in major depression disorder: A resting-state analysis","volume":"245","author":"X Wu","year":"2019","journal-title":"J Affect Disord"},{"key":"pone.0295984.ref021","doi-asserted-by":"crossref","first-page":"1825","DOI":"10.1002\/hbm.21151","article-title":"Functional connectivity in mild traumatic brain injury","volume":"32","author":"AR Mayer","year":"2011","journal-title":"Hum Brain Mapp"},{"key":"pone.0295984.ref022","doi-asserted-by":"crossref","first-page":"1645","DOI":"10.1002\/hbm.23126","article-title":"Brain network dysregulation, emotion, and complaints after mild traumatic brain injury.","volume":"37","author":"HJ van der Horn","year":"2016","journal-title":"Hum Brain Mapp."},{"author":"D Kobyli\u0144ska","journal-title":"The mediational role of emotion regulation in the relationship between personality and subjective well-being.","key":"pone.0295984.ref023"},{"key":"pone.0295984.ref024","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1089\/neu.2015.3905","article-title":"Brain Networks Subserving Emotion Regulation and Adaptation after Mild Traumatic Brain Injury","volume":"33","author":"HJ van der Horn","year":"2016","journal-title":"J Neurotrauma"},{"key":"pone.0295984.ref025","doi-asserted-by":"crossref","first-page":"3463","DOI":"10.1111\/ejn.15199","article-title":"White matter microstructure of the neural emotion regulation circuitry in mild traumatic brain injury","volume":"53","author":"HJ van der Horn","year":"2021","journal-title":"Eur J Neurosci"},{"key":"pone.0295984.ref026","article-title":"Static and Dynamic Intrinsic Connectivity following Mild Traumatic Brain Injury.","author":"AR Mayer","year":"2015","journal-title":"J Neurotrauma"},{"key":"pone.0295984.ref027","doi-asserted-by":"crossref","first-page":"108837","DOI":"10.1016\/j.jneumeth.2020.108837","article-title":"Filtered correlation and allowed frequency spectra in dynamic functional connectivity","volume":"343","author":"VM Vergara","year":"2020","journal-title":"J Neurosci Methods"},{"key":"pone.0295984.ref028","doi-asserted-by":"crossref","first-page":"2089","DOI":"10.1002\/hbm.24509","article-title":"An average sliding window correlation method for dynamic functional connectivity","volume":"40","author":"VM Vergara","year":"2019","journal-title":"Hum Brain Mapp"},{"key":"pone.0295984.ref029","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-017-05425-7","article-title":"Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest.","volume":"7","author":"J Cabral","year":"2017","journal-title":"Sci Rep."},{"key":"pone.0295984.ref030","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.neuroimage.2015.07.002","article-title":"Dynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain information HHS Public Access.","volume":"120","author":"M Yaesoubi","year":"2015","journal-title":"Neuroimage."},{"key":"pone.0295984.ref031","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1097\/00001199-199309000-00010","article-title":"Definition of mild traumatic brain injury","volume":"8","author":"T Kayd","year":"1993","journal-title":"J Head Trauma Rehabil"},{"key":"pone.0295984.ref032","first-page":"D2258","article-title":"[Addendum to the Dutch guideline for minor head\/brain injury].","volume":"161","author":"CL van den Brand","year":"2017","journal-title":"Ned Tijdschr Geneeskd."},{"key":"pone.0295984.ref033","article-title":"NEO-PI-R en NEO-FFI: Big Five Persoonlijkheidsvragenlijsten: Handleiding.","author":"H Hoekstra","year":"1996","journal-title":"Swets & Zeitlinger, Lisse"},{"key":"pone.0295984.ref034","first-page":"1","article-title":"Resting-State Functional Brain Connectivity Best Predicts the Personality Dimension of Openness to Experience.","author":"J Dubois","year":"2018","journal-title":"Personal Neurosci"},{"key":"pone.0295984.ref035","doi-asserted-by":"crossref","first-page":"2041","DOI":"10.1016\/j.injury.2016.04.036","article-title":"Subacute posttraumatic complaints and psychological distress in trauma patients with or without mild traumatic brain injury","volume":"47","author":"ME de Koning","year":"2016","journal-title":"Injury"},{"key":"pone.0295984.ref036","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1089\/neu.1998.15.573","article-title":"Structured interviews for the Glasgow Outcome Scale and the extended Glasgow Outcome Scale: guidelines for their use.","volume":"15","author":"JT Wilson","year":"1998","journal-title":"J Neurotrauma"},{"key":"pone.0295984.ref037","first-page":"111","article-title":"fMRIPrep: a robust preprocessing pipeline for functional MRI","volume":"16","author":"O Esteban","year":"2018","journal-title":"Nat Methods 2018 161"},{"key":"pone.0295984.ref038","first-page":"267","article-title":"ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data. Neuroimage.","volume":"112","author":"RHR Pruim","year":"2015"},{"key":"pone.0295984.ref039","doi-asserted-by":"crossref","first-page":"1076","DOI":"10.1002\/hbm.20919","article-title":"Semiblind Spatial ICA of fMRI Using Spatial Constraints.","volume":"31","author":"Q-H Lin","year":"2010","journal-title":"Hum Brain Mapp"},{"key":"pone.0295984.ref040","doi-asserted-by":"crossref","first-page":"102375","DOI":"10.1016\/j.nicl.2020.102375","article-title":"NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders","volume":"28","author":"Y Du","year":"2020","journal-title":"NeuroImage Clin"},{"key":"pone.0295984.ref041","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1002\/hbm.1048","article-title":"A method for making group inferences from functional MRI data using independent component analysis.","volume":"14","author":"VD Calhoun","year":"2001","journal-title":"Hum Brain Mapp."},{"key":"pone.0295984.ref042","doi-asserted-by":"crossref","first-page":"119433","DOI":"10.1016\/j.neuroimage.2022.119433","article-title":"Metastability, fractal scaling, and synergistic information processing: What phase relationships reveal about intrinsic brain activity","volume":"259","author":"F Hancock","year":"2022","journal-title":"Neuroimage"},{"key":"pone.0295984.ref043","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1016\/j.neuroimage.2017.03.045","article-title":"Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms.","volume":"160","author":"J Cabral","year":"2017","journal-title":"Neuroimage."},{"key":"pone.0295984.ref044","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1089\/brain.2011.0068","article-title":"Functional Magnetic Resonance Imaging Phase Synchronization as a Measure of Dynamic Functional Connectivity","volume":"2","author":"E Glerean","year":"2012","journal-title":"Brain Connect"},{"key":"pone.0295984.ref045","doi-asserted-by":"crossref","first-page":"116896","DOI":"10.1016\/j.neuroimage.2020.116896","article-title":"Trait self-reflectiveness relates to time-varying dynamics of resting state functional connectivity and underlying structural connectomes: Role of the default mode network.","volume":"219","author":"DI Larabi","year":"2020","journal-title":"Neuroimage."},{"key":"pone.0295984.ref046","first-page":"337","article-title":"Determining the number of states in dynamic functional connectivity using cluster validity indexes","author":"VM Vergara","year":"2020","journal-title":"J Neurosci Methods"},{"key":"pone.0295984.ref047","doi-asserted-by":"crossref","first-page":"782","DOI":"10.1016\/j.neuroimage.2011.09.015","article-title":"FSL","volume":"62","author":"M Jenkinson","year":"2012","journal-title":"Neuroimage"},{"key":"pone.0295984.ref048","doi-asserted-by":"crossref","first-page":"1487","DOI":"10.1016\/j.neuroimage.2006.02.024","article-title":"Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data.","volume":"31","author":"SM Smith","year":"2006","journal-title":"Neuroimage."},{"key":"pone.0295984.ref049","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1016\/j.neuroimage.2013.04.061","article-title":"Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA\u2013DTI working group","volume":"81","author":"N Jahanshad","year":"2013","journal-title":"Neuroimage"},{"key":"pone.0295984.ref050","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1002\/gps.2087","article-title":"Aging of cerebral white matter: A review of MRI findings.","volume":"24","author":"FM Gunning-Dixon","year":"2009","journal-title":"Int J Geriatr Psychiatry"},{"key":"pone.0295984.ref051","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1016\/j.neuroimage.2007.09.017","article-title":"Gender differences and age-related white matter changes of the human brain: A diffusion tensor imaging study","volume":"39","author":"JL Hsu","year":"2008","journal-title":"Neuroimage"},{"key":"pone.0295984.ref052","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.bandc.2014.08.006","article-title":"Sex differences in the IQ-white matter microstructure relationship: A DTI study","volume":"91","author":"B Dunst","year":"2014","journal-title":"Brain Cogn"},{"key":"pone.0295984.ref053","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1111\/jopy.12663","article-title":"Big Five personality traits and academic performance: A meta-analysis.","volume":"90","author":"S. Mammadov","year":"2022","journal-title":"J Pers"},{"volume-title":"Intelligence and age: Study with Dutch people from age 12 to 77","year":"1964","author":"F. Verhage","key":"pone.0295984.ref054"},{"key":"pone.0295984.ref055","doi-asserted-by":"crossref","first-page":"1211","DOI":"10.1002\/hbm.24440","article-title":"Resting-state functional connectivity after concussion is associated with clinical recovery","volume":"40","author":"M Kaushal","year":"2019","journal-title":"Hum Brain Mapp"},{"key":"pone.0295984.ref056","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1007\/s11682-016-9520-y","article-title":"Longitudinal assessment of local and global functional connectivity following sports-related concussion","volume":"11","author":"TB Meier","year":"2017","journal-title":"Brain Imaging Behav"},{"key":"pone.0295984.ref057","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1001\/jamaneurol.2014.4778","article-title":"Recovery of cerebral blood flow following sports-related concussion","volume":"72","author":"TB Meier","year":"2015","journal-title":"JAMA Neurol"},{"key":"pone.0295984.ref058","doi-asserted-by":"crossref","first-page":"992","DOI":"10.1017\/S1355617720001423","article-title":"Personality Characteristics and Acute Symptom Response Predict Chronic Symptoms After Mild Traumatic Brain Injury","volume":"27","author":"HA Parker","year":"2021","journal-title":"J Int Neuropsychol Soc"},{"key":"pone.0295984.ref059","doi-asserted-by":"crossref","first-page":"816","DOI":"10.1037\/a0032822","article-title":"The DSM-5 dimensional trait model and five-factor models of general personality.","volume":"122","author":"WL Gore","year":"2013","journal-title":"J Abnorm Psychol"},{"key":"pone.0295984.ref060","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.brainres.2013.08.034","article-title":"Default mode network interference in mild traumatic brain injury\u2014A pilot resting state study","volume":"1537","author":"C Sours","year":"2013","journal-title":"Brain Res"},{"key":"pone.0295984.ref061","doi-asserted-by":"crossref","first-page":"744","DOI":"10.1093\/scan\/nsu117","article-title":"Imbalance of default mode and regulatory networks during externally focused processing in depression.","volume":"10","author":"EL Belleau","year":"2015","journal-title":"Soc Cogn Affect Neurosci"},{"key":"pone.0295984.ref062","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.biopsych.2011.02.003","article-title":"Default-mode and task-positive network activity in major depressive disorder: implications for adaptive and maladaptive rumination","volume":"70","author":"JP Hamilton","year":"2011","journal-title":"Biol Psychiatry"},{"key":"pone.0295984.ref063","doi-asserted-by":"crossref","first-page":"930","DOI":"10.3389\/fnhum.2013.00930","article-title":"Insular dysfunction within the salience network is associated with severity of symptoms and aberrant inter-network connectivity in major depressive disorder.","volume":"7","author":"A Manoliu","year":"2014","journal-title":"Front Hum Neurosci"},{"key":"pone.0295984.ref064","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.neubiorev.2019.06.029","article-title":"Common and distinct neural correlates of fear extinction and cognitive reappraisal: A meta-analysis of fMRI studies.","volume":"104","author":"M Pic\u00f3-P\u00e9rez","year":"2019","journal-title":"Neurosci Biobehav Rev"},{"key":"pone.0295984.ref065","first-page":"300","article-title":"Structure and function of the human insula","volume":"34","author":"LQ Uddin","year":"2017"},{"key":"pone.0295984.ref066","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1093\/scan\/nsaa076","article-title":"The basal ganglia and the cerebellum in human emotion.","volume":"15","author":"JE Pierce","year":"2020","journal-title":"Soc Cogn Affect Neurosci"},{"key":"pone.0295984.ref067","article-title":"Functional imaging studies of emotion regulation: a synthetic review and evolving model of the cognitive control of emotion","author":"KN Ochsner","year":"2012","journal-title":"Ann N Y Acad Sci"},{"key":"pone.0295984.ref068","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1016\/j.tins.2015.07.003","article-title":"Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience","volume":"38","author":"DR Dajani","year":"2015","journal-title":"Trends Neurosci"},{"key":"pone.0295984.ref069","first-page":"1","article-title":"Stability of coping and the role of self-efficacy in the first year following mild traumatic brain injury","author":"ME Scheenen","year":"2017","journal-title":"Soc Sci Med"},{"key":"pone.0295984.ref070","first-page":"220","article-title":"Little evidence for associations between the Big Five personality traits and variability in brain gray or white matter","author":"R Avinun","year":"2020","journal-title":"Neuroimage"},{"key":"pone.0295984.ref071","doi-asserted-by":"crossref","first-page":"104010","DOI":"10.1016\/j.jrp.2020.104010","article-title":"Microstructural white matter alterations and personality traits: A diffusion MRI study.","volume":"88","author":"H Sanjari Moghaddam","year":"2020","journal-title":"J Res Pers"},{"key":"pone.0295984.ref072","first-page":"654","article-title":"Reproducible brain-wide association studies require thousands of individuals.","volume":"603","author":"S Marek","year":"2022","journal-title":"Nat 2022 6037902"},{"year":"2022","author":"L Cecchetti","journal-title":"Reproducible brain-wide association studies do not necessarily require thousands of individuals","key":"pone.0295984.ref073"},{"key":"pone.0295984.ref074","article-title":"Multicompartmental models and diffusion abnormalities in paediatric mild traumatic brain injury","author":"AR Mayer","year":"2022","journal-title":"Brain"},{"key":"pone.0295984.ref075","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1016\/S1474-4422(17)30117-5","article-title":"Early predictors of outcome after mild traumatic brain injury (UPFRONT): an observational cohort study.","volume":"16","author":"J van der Naalt","year":"2017","journal-title":"Lancet Neurol."},{"key":"pone.0295984.ref076","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1089\/neu.2009.1059","article-title":"Outcome prediction in mild traumatic brain injury: age and clinical variables are stronger predictors than CT abnormalities","volume":"27","author":"B Jacobs","year":"2010","journal-title":"J Neurotrauma"},{"key":"pone.0295984.ref077","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1089\/neu.2013.2984","article-title":"Symptomatology and functional outcome in mild traumatic brain injury: results from the prospective TRACK-TBI study","volume":"31","author":"P McMahon","year":"2014","journal-title":"J Neurotrauma"},{"key":"pone.0295984.ref078","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1001\/jamanetworkopen.2019.19771","article-title":"Association of Blood Biomarkers with Acute Sport-Related Concussion in Collegiate Athletes: Findings from the NCAA and Department of Defense CARE Consortium.","volume":"3","author":"M McCrea","year":"2020","journal-title":"JAMA Netw Open"}],"container-title":["PLOS ONE"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0295984","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T18:41:46Z","timestamp":1702665706000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0295984"}},"subtitle":[],"editor":[{"given":"Wang","family":"Zhan","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2023,12,15]]},"references-count":78,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2023,12,15]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pone.0295984","relation":{},"ISSN":["1932-6203"],"issn-type":[{"type":"electronic","value":"1932-6203"}],"subject":[],"published":{"date-parts":[[2023,12,15]]}}}