{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T14:05:55Z","timestamp":1772028355754,"version":"3.50.1"},"reference-count":57,"publisher":"Oxford University Press (OUP)","issue":"12","license":[{"start":{"date-parts":[[2023,4,15]],"date-time":"2023-04-15T00:00:00Z","timestamp":1681516800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Temporal lobe epilepsy (TLE) is the most common epilepsy syndrome that empirically represents a network disorder, which makes graph theory (GT) a practical approach to understand it. Multi-shell diffusion-weighted imaging (DWI) was obtained from 89 TLE and 50 controls. GT measures extracted from harmonized DWI matrices were used as factors in a support vector machine (SVM) analysis to discriminate between groups, and in a k-means algorithm to find intrinsic structural phenotypes within TLE. SVM was able to predict group membership (mean accuracy\u2009=\u20090.70, area under the curve (AUC)\u2009=\u20090.747, Brier score (BS)\u2009=\u20090.264) using 10-fold cross-validation. In addition, k-means clustering identified 2 TLE clusters: 1 similar to controls, and 1 dissimilar. Clusters were significantly different in their distribution of cognitive phenotypes, with the Dissimilar cluster containing the majority of TLE with cognitive impairment (\u03c72\u2009=\u20096.641, P\u2009=\u20090.036). In addition, cluster membership showed significant correlations between GT measures and clinical variables. Given that SVM classification seemed driven by the Dissimilar cluster, SVM analysis was repeated to classify Dissimilar versus Similar\u2009+\u2009Controls with a mean accuracy of 0.91 (AUC\u2009=\u20090.957, BS\u2009=\u20090.189). Altogether, the pattern of results shows that GT measures based on connectome DWI could be significant factors in the search for clinical and neurobehavioral biomarkers in TLE.<\/jats:p>","DOI":"10.1093\/cercor\/bhad098","type":"journal-article","created":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T14:35:53Z","timestamp":1681742153000},"page":"8056-8065","source":"Crossref","is-referenced-by-count":2,"title":["Multi-shell connectome DWI-based graph theory measures for the prediction of temporal lobe epilepsy and cognition"],"prefix":"10.1093","volume":"33","author":[{"given":"Camille","family":"Garcia-Ramos","sequence":"first","affiliation":[{"name":"University of Wisconsin-Madison Department of Neurology, , Medical Foundation Centennial Building, 1685 Highland Ave, Madison, WI 53705-2281 , United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nagesh","family":"Adluru","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Madison Department of Radiology, , 600 Highland Ave, Madison, WI 53792 , United States"},{"name":"Waisman Center, University of Wisconsin-Madison , 1500 Highland Ave, Madison, WI 53705 , United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel Y","family":"Chu","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Madison Department of Neurology, , Medical Foundation Centennial Building, 1685 Highland Ave, Madison, WI 53705-2281 , United States"},{"name":"University of Wisconsin-Madison Department of Radiology, , 600 Highland Ave, Madison, WI 53792 , United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Veena","family":"Nair","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Madison Department of Radiology, , 600 Highland Ave, Madison, WI 53792 , United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anusha","family":"Adluru","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Madison Department of Radiology, , 600 Highland Ave, Madison, WI 53792 , United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew","family":"Nencka","sequence":"additional","affiliation":[{"name":"Medical College of Wisconsin Department of Radiology, , 9200 W. Wisconsin Ave. Milwaukee, WI 53226 , United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rama","family":"Maganti","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Madison Department of Neurology, , Medical Foundation Centennial Building, 1685 Highland Ave, Madison, WI 53705-2281 , United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jedidiah","family":"Mathis","sequence":"additional","affiliation":[{"name":"Department of Neurology, Medical College of Wisconsin , 9200 W. Wisconsin Ave. Milwaukee, WI 53226 , United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lisa L","family":"Conant","sequence":"additional","affiliation":[{"name":"Department of Neurology, Medical College of Wisconsin , 9200 W. Wisconsin Ave. Milwaukee, WI 53226 , United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew L","family":"Alexander","sequence":"additional","affiliation":[{"name":"Waisman Center, University of Wisconsin-Madison , 1500 Highland Ave, Madison, WI 53705 , United States"},{"name":"Department of Medical Physics, University of Wisconsin-Madison , 1111 Highland Ave, Rm 1005, Madison, WI 53705-2275 , United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vivek","family":"Prabhakaran","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Madison Department of Radiology, , 600 Highland Ave, Madison, WI 53792 , United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeffrey R","family":"Binder","sequence":"additional","affiliation":[{"name":"Department of Neurology, Medical College of Wisconsin , 9200 W. Wisconsin Ave. Milwaukee, WI 53226 , United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mary E","family":"Meyerand","sequence":"additional","affiliation":[{"name":"Department of Medical Physics, University of Wisconsin-Madison , 1111 Highland Ave, Rm 1005, Madison, WI 53705-2275 , United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bruce","family":"Hermann","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Madison Department of Neurology, , Medical Foundation Centennial Building, 1685 Highland Ave, Madison, WI 53705-2281 , United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aaron F","family":"Struck","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Madison Department of Neurology, , Medical Foundation Centennial Building, 1685 Highland Ave, Madison, WI 53705-2281 , United States"},{"name":"William S. Middleton VA Hospital , 2500 Overlook Terrace, Madison, WI 53705 , United States"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2023,4,15]]},"reference":[{"key":"2023061506425054900_ref1","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1016\/j.neuroimage.2018.07.066","article-title":"Evaluation of the accuracy and precision of the diffusion parameter EStImation with Gibbs and NoisE removal pipeline","volume":"183","author":"Ades-Aron","year":"2018","journal-title":"NeuroImage"},{"key":"2023061506425054900_ref2","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.jns.2017.08.007","article-title":"Neuroimaging and cognitive functions in temporal lobe epilepsy: a review of the literature","volume":"381","author":"Allone","year":"2017  15","journal-title":"J Neurol Sci"},{"key":"2023061506425054900_ref3","doi-asserted-by":"crossref","first-page":"103154","DOI":"10.1016\/j.nicl.2022.103154","article-title":"Deep learning-based automated segmentation of resection cavities on postsurgical epilepsy MRI","volume":"36","author":"Arnold","year":"2022","journal-title":"Neuroimage Clin"},{"issue":"3","key":"2023061506425054900_ref4","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":"Avants","year":"2011","journal-title":"NeuroImage"},{"key":"2023061506425054900_ref5","doi-asserted-by":"crossref","first-page":"107386","DOI":"10.1016\/j.yebeh.2020.107386","article-title":"The association of cognitive phenotypes with postoperative outcomes after epilepsy surgery in patients with temporal lobe epilepsy","volume":"112","author":"Baxendale","year":"2020","journal-title":"Epilepsy Behav"},{"key":"2023061506425054900_ref6","volume-title":"Contributions to neuropsychological assessment: a clinical manual","author":"Benton","year":"1983"},{"issue":"10","key":"2023061506425054900_ref7","doi-asserted-by":"crossref","first-page":"P10008","DOI":"10.1088\/1742-5468\/2008\/10\/P10008","article-title":"Fast unfolding of communities in large networks","volume":"2008","author":"Blondel","year":"2008","journal-title":"J Stat Mech"},{"issue":"4\u20135","key":"2023061506425054900_ref8","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.physrep.2005.10.009","article-title":"Complex networks: structure and dynamics","volume":"424","author":"Boccaletti","year":"2006","journal-title":"Phys Rep"},{"issue":"6","key":"2023061506425054900_ref9","doi-asserted-by":"crossref","first-page":"630","DOI":"10.1017\/S1355617714000319","article-title":"NIH toolbox cognitive battery (NIHTB-CB): the NIHTB pattern comparison processing speed test","volume":"20","author":"Carlozzi","year":"2014","journal-title":"J Int Neuropsychol Soc"},{"issue":"5","key":"2023061506425054900_ref10","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1093\/arclin\/acv031","article-title":"The NIH toolbox pattern comparison processing speed test: normative data","volume":"30","author":"Carlozzi","year":"2015","journal-title":"Arch Clin Neuropsychol"},{"issue":"2","key":"2023061506425054900_ref11","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1089\/brain.2018.0600","article-title":"Effective connectivity within the default mode network in left temporal lobe epilepsy: findings from the epilepsy connectome project","volume":"9","author":"Cook","year":"2019","journal-title":"Brain Connect"},{"key":"2023061506425054900_ref12","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.yebeh.2019.04.015","article-title":"Temporal lobe epilepsy is associated with distinct cognitive phenotypes","volume":"96","author":"Elverman","year":"2019","journal-title":"Epilepsy Behav"},{"issue":"2","key":"2023061506425054900_ref13","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1111\/epi.16423","article-title":"Impaired vigilance networks in temporal lobe epilepsy: mechanisms and clinical implications","volume":"61","author":"Englot","year":"2020","journal-title":"Epilepsia"},{"key":"2023061506425054900_ref14","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1016\/j.neuroimage.2013.04.087","article-title":"Graph analysis of the human connectome: promise, progress, and pitfalls","volume":"80","author":"Fornito","year":"2013  15","journal-title":"NeuroImage"},{"key":"2023061506425054900_ref15","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.neuroimage.2017.08.047","article-title":"Harmonization of multi-site diffusion tensor imaging data","volume":"161","author":"Fortin","year":"2017  1","journal-title":"NeuroImage"},{"issue":"1","key":"2023061506425054900_ref16","doi-asserted-by":"crossref","first-page":"14407","DOI":"10.1038\/s41598-022-18495-z","article-title":"Network phenotypes and their clinical significance in temporal lobe epilepsy using machine learning applications to morphological and functional graph theory metrics","volume":"12","author":"Garcia-Ramos","year":"2022","journal-title":"Sci Rep"},{"issue":"3","key":"2023061506425054900_ref17","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1111\/epi.17160","article-title":"Common functional connectivity alterations in focal epilepsies identified by machine learning","volume":"63","author":"Gholipour","year":"2022","journal-title":"Epilepsia"},{"key":"2023061506425054900_ref18","volume-title":"Revised comprehensive norms for an expanded Halstead-Reitan battery: demographically adjusted neuropsychological norms for African American and Caucasian adults.","author":"Heaton","year":"2004"},{"key":"2023061506425054900_ref19","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1016\/S0079-6123(02)35040-4","article-title":"The neurodevelopmental impact of childhood onset temporal lobe epilepsy on brain structure and function and the risk of progressive cognitive effects","volume":"135","author":"Hermann","year":"2002","journal-title":"Prog Brain Res"},{"key":"2023061506425054900_ref20","doi-asserted-by":"crossref","first-page":"102341","DOI":"10.1016\/j.nicl.2020.102341","article-title":"Network, clinical and sociodemographic features of cognitive phenotypes in temporal lobe epilepsy","volume":"27","author":"Hermann","year":"2020","journal-title":"Neuroimage Clin"},{"issue":"12","key":"2023061506425054900_ref21","doi-asserted-by":"crossref","first-page":"731","DOI":"10.1038\/s41582-021-00555-z","article-title":"Neurobehavioural comorbidities of epilepsy: towards a network-based precision taxonomy","volume":"17","author":"Hermann","year":"2021","journal-title":"Nat Rev Neurol"},{"issue":"4","key":"2023061506425054900_ref22","doi-asserted-by":"crossref","first-page":"e0002051","DOI":"10.1371\/journal.pone.0002051","article-title":"Network \u201csmall-world-ness\u201d: a quantitative method for determining canonical network equivalence","volume":"3","author":"Humphries","year":"2008","journal-title":"PLoS One"},{"key":"2023061506425054900_ref23","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.cortex.2019.02.022","article-title":"Cognitive slowing and its underlying neurobiology in temporal lobe epilepsy","volume":"117","author":"Hwang","year":"2019","journal-title":"Cortex"},{"issue":"2","key":"2023061506425054900_ref24","doi-asserted-by":"crossref","first-page":"782","DOI":"10.1016\/j.neuroimage.2011.09.015","article-title":"FSL","volume":"62","author":"Jenkinson","year":"2012","journal-title":"NeuroImage"},{"issue":"6","key":"2023061506425054900_ref25","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1136\/jnnp-2021-328185","article-title":"Temporal lobe epilepsy lateralisation and surgical outcome prediction using diffusion imaging","volume":"93","author":"Johnson","year":"2022","journal-title":"J Neurol Neurosurg Psychiatry"},{"issue":"2","key":"2023061506425054900_ref26","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.yebeh.2009.03.027","article-title":"Age at onset of epilepsy as a determinant of intellectual impairment in temporal lobe epilepsy","volume":"15","author":"Kaaden","year":"2009","journal-title":"Epilepsy Behav"},{"key":"2023061506425054900_ref27","doi-asserted-by":"crossref","first-page":"102125","DOI":"10.1016\/j.nicl.2019.102125","article-title":"The white matter connectome as an individualized biomarker of language impairment in temporal lobe epilepsy","volume":"25","author":"Kaestner","year":"2020","journal-title":"Neuroimage Clin"},{"issue":"1","key":"2023061506425054900_ref28","doi-asserted-by":"crossref","first-page":"121","DOI":"10.2463\/mrms.2015-0027","article-title":"Machine learning of DTI structural brain connectomes for lateralization of temporal lobe epilepsy","volume":"15","author":"Kamiya","year":"2016","journal-title":"Magn Reson Med Sci"},{"key":"2023061506425054900_ref29","volume-title":"The Boston naming test","author":"Kaplan","year":"1983","edition":"2nd"},{"issue":"6","key":"2023061506425054900_ref30","doi-asserted-by":"crossref","first-page":"1647","DOI":"10.1016\/S0025-7125(16)33515-5","article-title":"Clinical neuropsychology","volume":"47","author":"Klove","year":"1963","journal-title":"Med Clin North Am"},{"issue":"2","key":"2023061506425054900_ref31","first-page":"247","article-title":"What does diffusion tensor imaging (DTI) tell us about cognitive networks in temporal lobe epilepsy?","volume":"5","author":"Leyden","year":"2015","journal-title":"Quant Imaging Med Surg"},{"issue":"1","key":"2023061506425054900_ref32","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1089\/brain.2019.0702","article-title":"Graph theory analysis of functional connectivity combined with machine learning approaches demonstrates widespread network differences and predicts clinical variables in temporal lobe epilepsy","volume":"10","author":"Mazrooyisebdani","year":"2020","journal-title":"Brain Connect"},{"issue":"5","key":"2023061506425054900_ref33","doi-asserted-by":"crossref","first-page":"1144","DOI":"10.1002\/mrm.22361","article-title":"Multiband multislice GE-EPI at 7 Tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI","volume":"63","author":"Moeller","year":"2010","journal-title":"Magn Reson Med"},{"issue":"5","key":"2023061506425054900_ref34","doi-asserted-by":"crossref","first-page":"727","DOI":"10.1111\/epi.13699","article-title":"MRI-negative temporal lobe epilepsy-what do we know?","volume":"58","author":"Muhlhofer","year":"2017","journal-title":"Epilepsia"},{"issue":"2","key":"2023061506425054900_ref35","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1137\/S003614450342480","article-title":"The structure and function of complex networks","volume":"45","author":"Newman","year":"2003","journal-title":"SIAM Rev"},{"issue":"10","key":"2023061506425054900_ref36","doi-asserted-by":"crossref","first-page":"1736","DOI":"10.1212\/01.WNL.0000125186.04867.34","article-title":"The nature and course of neuropsychological morbidity in chronic temporal lobe epilepsy","volume":"62","author":"Oyegbile","year":"2004","journal-title":"Neurology"},{"issue":"5","key":"2023061506425054900_ref37","doi-asserted-by":"crossref","first-page":"1623","DOI":"10.1007\/s00415-019-09518-3","article-title":"Artificial intelligence as an emerging technology in the current care of neurological disorders","volume":"268","author":"Patel","year":"2021","journal-title":"J Neurol"},{"key":"2023061506425054900_ref38","volume-title":"L\u2019Examen clinique en psychologie, par Andre Rey","author":"Rey","year":"1964","edition":"2e"},{"key":"2023061506425054900_ref39","doi-asserted-by":"crossref","first-page":"116706","DOI":"10.1016\/j.neuroimage.2020.116706","article-title":"Multidimensional associations between cognition and connectome organization in temporal lobe epilepsy","volume":"213","author":"Rodr\u00edguez-Cruces","year":"2020","journal-title":"NeuroImage"},{"issue":"1","key":"2023061506425054900_ref40","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","article-title":"Silhouettes: a graphical aid to the interpretation and validation of cluster analysis","volume":"20","author":"Rousseeuw","year":"1987","journal-title":"J Comput Appl Math"},{"issue":"3","key":"2023061506425054900_ref41","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1016\/j.neuroimage.2009.10.003","article-title":"Complex network measures of brain connectivity: uses and interpretations","volume":"52","author":"Rubinov","year":"2010","journal-title":"NeuroImage"},{"issue":"1","key":"2023061506425054900_ref42","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1002\/hbm.25037","article-title":"The ENIGMA-epilepsy working group: mapping disease from large data sets","volume":"43","author":"Sisodiya","year":"2020","journal-title":"Hum Brain Mapp"},{"key":"2023061506425054900_ref43","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/j.neuroimage.2015.06.092","article-title":"SIFT2: enabling dense quantitative assessment of brain white matter connectivity using streamlines tractography","volume":"119","author":"Smith","year":"2015  1","journal-title":"NeuroImage"},{"key":"2023061506425054900_ref44","first-page":"1","article-title":"Quantitative streamlines tractography: methods and inter-subject normalisation","author":"Smith","year":"2022  20"},{"key":"2023061506425054900_ref45","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.neuroimage.2013.05.057","article-title":"Advances in diffusion MRI acquisition and processing in the human connectome project","volume":"80","author":"Sotiropoulos","year":"2013  15","journal-title":"NeuroImage"},{"issue":"10","key":"2023061506425054900_ref47","doi-asserted-by":"crossref","first-page":"e1049","DOI":"10.1371\/journal.pone.0001049","article-title":"Identification and classification of hubs in brain networks","volume":"2","author":"Sporns","year":"2007","journal-title":"PLoS One"},{"key":"2023061506425054900_ref48","volume-title":"Neurosensory Center Comprehensive Examination for Aphasia (Nccea) 1977 revision: manual of instructions","author":"Spreen","year":"1977"},{"key":"2023061506425054900_ref49","article-title":"Neurobehavioral and clinical comorbidities in epilepsy: the role of white matter network disruption","volume":"0","author":"Stasenko","year":"2022","journal-title":"Neuroscientist"},{"key":"2023061506425054900_ref50","volume-title":"Compendium of neuropsychological tests: administration, norms, and commentary","author":"Strauss","year":"2006","edition":"3rd"},{"issue":"4","key":"2023061506425054900_ref51","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1007\/BF02289263","article-title":"Who belongs in the family?","volume":"18","author":"Thorndike","year":"1953","journal-title":"Psychometrika"},{"key":"2023061506425054900_ref52","article-title":"Improved probabilistic streamlines tractography by 2nd order integration over fibre orientation distributions","author":"Tournier","year":"2010","journal-title":"Proc Int Soc Magn Reson Med"},{"key":"2023061506425054900_ref53","doi-asserted-by":"crossref","first-page":"116137","DOI":"10.1016\/j.neuroimage.2019.116137","article-title":"MRtrix3: a fast, flexible and open software framework for medical image processing and visualization","volume":"202","author":"Tournier","year":"2019  15","journal-title":"NeuroImage"},{"issue":"9","key":"2023061506425054900_ref54","doi-asserted-by":"crossref","first-page":"2139","DOI":"10.1093\/cercor\/bhr298","article-title":"White matter network abnormalities are associated with cognitive decline in chronic epilepsy","volume":"22","author":"Vaessen","year":"2012","journal-title":"Cereb Cortex"},{"key":"2023061506425054900_ref55","first-page":"16","article-title":"Graph-based network analysis of resting-state functional MRI","volume":"4","author":"Wang","year":"2010  7","journal-title":"Front Syst Neurosci"},{"key":"2023061506425054900_ref56","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1016\/j.jocn.2021.07.016","article-title":"Graph-theory based degree centrality combined with machine learning algorithms can predict response to treatment with antiepileptic medications in children with epilepsy","volume":"91","author":"Wang","year":"2021","journal-title":"J Clin Neurosci"},{"key":"2023061506425054900_ref57","volume-title":"Wechsler abbreviated scale of intelligence-second edition (WASI-II)","author":"Wechsler","year":"2011"},{"issue":"4","key":"2023061506425054900_ref58","first-page":"500","article-title":"Tract-based spatial statistics analysis on the white matter of patients with temporal lobe epilepsy and automatic recognition","volume":"34","author":"Zhao","year":"2017","journal-title":"Sheng Wu Yi Xue Gong Cheng Xue Za Zhi"}],"container-title":["Cerebral Cortex"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/cercor\/article-pdf\/33\/12\/8056\/50538361\/bhad098.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/cercor\/article-pdf\/33\/12\/8056\/50538361\/bhad098.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,15]],"date-time":"2023-06-15T06:51:06Z","timestamp":1686811866000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/cercor\/article\/33\/12\/8056\/7091605"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,15]]},"references-count":57,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2023,4,15]]},"published-print":{"date-parts":[[2023,6,8]]}},"URL":"https:\/\/doi.org\/10.1093\/cercor\/bhad098","relation":{},"ISSN":["1047-3211","1460-2199"],"issn-type":[{"value":"1047-3211","type":"print"},{"value":"1460-2199","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2023,6,15]]},"published":{"date-parts":[[2023,4,15]]}}}