{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T04:45:29Z","timestamp":1772081129206,"version":"3.50.1"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T00:00:00Z","timestamp":1754092800000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100004375","name":"Tel Aviv University","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100004375","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Neurol"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Introduction<\/jats:title>\n            <jats:p>Concern of falling (CoF) affects approximately 50\u201360% of people with MS (pwMS) and is associated with physical and cognitive deficits. Despite its functional impact, CoF\u2019s neuroanatomical correlates in pwMS are poorly understood.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Objectives<\/jats:title>\n            <jats:p>Using structural MRI, we investigated associations between subcortical brain volumes and CoF in a large pwMS cohort.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods<\/jats:title>\n            <jats:p>This study involved 407 pwMS that were divided into three groups based on their CoF, as assessed by the Falls Efficacy Scale-International (FES-I). Volumetric MRI analysis was performed using FreeSurfer to assess subcortical brain structures, including the basal ganglia, hippocampus, and corpus callosum. Analyses were adjusted for age, sex, intracranial volume, scanner type, and magnetic field strength.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>Significant differences in brain volume were found between groups with low, moderate, and high CoF. PwMS with high CoF exhibited reduced volumes in the pallidum, putamen, and corpus callosum compared to those with low CoF (p\u2009&lt;\u20090.05). Regression analysis revealed that subcortical volume reductions, particularly in the basal ganglia, were significantly associated with higher CoF scores, even after controlling for disability.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p>CoF in pwMS is associated with structural brain changes in areas related to motor control and emotional regulation. This may indicate that CoF reflects both psychological and neuroanatomical factors.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1007\/s00415-025-13287-7","type":"journal-article","created":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T12:34:30Z","timestamp":1754138070000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Subcortical brain volume changes linked to concern of falling in multiple sclerosis: a structural MRI study"],"prefix":"10.1007","volume":"272","author":[{"given":"Shay","family":"Menascu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tali","family":"Drori","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7999-0868","authenticated-orcid":false,"given":"Alon","family":"Kalron","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,8,2]]},"reference":[{"key":"13287_CR1","doi-asserted-by":"publisher","first-page":"e279","DOI":"10.1212\/nxi.0000000000000279","volume":"3","author":"SC Krieger","year":"2016","unstructured":"Krieger SC, Cook K, De Nino S, Fletcher M (2016) The topographical model of multiple sclerosis: a dynamic visualization of disease course. Neurol Neuroimmunol Neuroinflamm 3:e279. https:\/\/doi.org\/10.1212\/nxi.0000000000000279","journal-title":"Neurol Neuroimmunol Neuroinflamm"},{"key":"13287_CR2","doi-asserted-by":"publisher","first-page":"1502","DOI":"10.1016\/s0140-6736(08)61620-7","volume":"372","author":"A Compston","year":"2008","unstructured":"Compston A, Coles A (2008) Multiple sclerosis. Lancet 372:1502\u20131517. https:\/\/doi.org\/10.1016\/s0140-6736(08)61620-7","journal-title":"Lancet"},{"issue":"9","key":"13287_CR3","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0107620","volume":"9","author":"R Mazumder","year":"2014","unstructured":"Mazumder R, Murchison C, Bourdette D, Cameron M (2014) Falls in people with multiple sclerosis compared with falls in healthy controls. PLoS ONE 9(9):e107620. https:\/\/doi.org\/10.1371\/journal.pone.0107620","journal-title":"PLoS ONE"},{"key":"13287_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.msard.2020.102609","volume":"47","author":"M Scholz","year":"2021","unstructured":"Scholz M, Haase R, Trentzsch K, Weidemann ML, Ziemssen T (2021) Concern of falling and falls in people with multiple sclerosis: a literature review. Mult Scler Relat Disord 47:102609. https:\/\/doi.org\/10.1016\/j.msard.2020.102609","journal-title":"Mult Scler Relat Disord"},{"key":"13287_CR5","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/281760","volume":"2014","author":"A Kalron","year":"2014","unstructured":"Kalron A (2014) The relationship between specific cognitive domains, concern of falling, and falls in people with multiple sclerosis. Biomed Res Int 2014:281760. https:\/\/doi.org\/10.1155\/2014\/281760","journal-title":"Biomed Res Int"},{"issue":"1","key":"13287_CR6","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1093\/gerona\/glu242","volume":"71","author":"C Tuerk","year":"2016","unstructured":"Tuerk C, Zhang H, Sachdev P, Lord SR, Brodaty H, Wen W, Delbaere K (2016) Regional gray matter volumes are related to CoF in older people: a voxel-based morphometric study. J Gerontol A Biol Sci Med Sci 71(1):138\u2013144. https:\/\/doi.org\/10.1093\/gerona\/glu242","journal-title":"J Gerontol A Biol Sci Med Sci"},{"key":"13287_CR7","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.neuroscience.2018.01.044","volume":"374","author":"M Gilat","year":"2018","unstructured":"Gilat M, Ehgoetz Martens KA, Miranda-Dom\u00ednguez O, Arpan I, Shine JM, Mancini M, Fair DA, Lewis SJG, Horak FB (2018) Dysfunctional limbic circuitry underlying freezing of gait in Parkinson\u2019s disease. Neuroscience 374:119\u2013132. https:\/\/doi.org\/10.1016\/j.neuroscience.2018.01.044","journal-title":"Neuroscience"},{"issue":"3","key":"13287_CR8","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1097\/JGP.0b013e3181591c1e","volume":"16","author":"JC van Haastregt","year":"2008","unstructured":"van Haastregt JC, Zijlstra GA, van Rossum E, van Eijk JT, Kempen GI (2008) Feelings of anxiety and symptoms of depression in community-living older persons who avoid activity for concern of falling. Am J Geriatr Psychiatry 16(3):186\u2013193. https:\/\/doi.org\/10.1097\/JGP.0b013e3181591c1e","journal-title":"Am J Geriatr Psychiatry"},{"key":"13287_CR9","doi-asserted-by":"publisher","first-page":"940","DOI":"10.1016\/j.neuroimage.2012.01.092","volume":"60","author":"A Pfefferbaum","year":"2012","unstructured":"Pfefferbaum A, Rohlfing T, Rosenbloom MJ, Sullivan EV (2012) Combining atlas-based parcellation of regional brain data acquired across scanners at 1.5 T and 3.0 T field strengths. Neuroimage 60:940\u2013951. https:\/\/doi.org\/10.1016\/j.neuroimage.2012.01.092","journal-title":"Neuroimage"},{"issue":"2","key":"13287_CR10","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/S1474-4422(17)30470-2","volume":"17","author":"AJ Thompson","year":"2018","unstructured":"Thompson AJ, Banwell BL, Barkhof F et al (2018) Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 17(2):162\u2013173. https:\/\/doi.org\/10.1016\/S1474-4422(17)30470-2. (Epub 2017 Dec 21)","journal-title":"Lancet Neurol"},{"issue":"11","key":"13287_CR11","doi-asserted-by":"publisher","first-page":"1444","DOI":"10.1212\/wnl.33.11.1444","volume":"33","author":"JF Kurtzke","year":"1983","unstructured":"Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33(11):1444\u20131452. https:\/\/doi.org\/10.1212\/wnl.33.11.1444","journal-title":"Neurology"},{"key":"13287_CR12","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1093\/ageing\/afi196","volume":"34","author":"L Yardley","year":"2005","unstructured":"Yardley L, Beyer N, Hauer K, Kempen G, Piot-Ziegler C, Todd C (2005) Development and initial validation of the Falls Efficacy Scale-International (FES-I). Age Ageing 34:614\u2013619. https:\/\/doi.org\/10.1093\/ageing\/afi196","journal-title":"Age Ageing"},{"key":"13287_CR13","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1016\/s0896-6273(02)00569-x","volume":"33","author":"B Fischl","year":"2002","unstructured":"Fischl B, Salat DH, Busa E et al (2002) Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33:341\u2013355. https:\/\/doi.org\/10.1016\/s0896-6273(02)00569-x","journal-title":"Neuron"},{"key":"13287_CR14","doi-asserted-by":"publisher","first-page":"S69","DOI":"10.1016\/j.neuroimage.2004.07.016","volume":"23","author":"B Fischl","year":"2004","unstructured":"Fischl B, Salat DH, van der Kouwe AJ, Makris N, Segonne F, Quinn BT, Dale AMI (2004) Sequence-independent segmentation of magnetic resonance images. Neuroimage 23:S69\u2013S84. https:\/\/doi.org\/10.1016\/j.neuroimage.2004.07.016","journal-title":"Neuroimage"},{"key":"13287_CR15","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1212\/wnl.58.5.695","volume":"58","author":"HD Rosas","year":"2004","unstructured":"Rosas HD, Liu AK, Hersch S, Glessner M, Ferrante RJ, Salat DH, van der Kouwe A, Jenkins BG, Dale AM, Fischl B (2004) Regional and progressive thinning of the cortical ribbon in Huntington\u2019s disease. Neurology 58:695\u2013701. https:\/\/doi.org\/10.1212\/wnl.58.5.695","journal-title":"Neurology"},{"key":"13287_CR16","doi-asserted-by":"publisher","first-page":"878","DOI":"10.1001\/archpsyc.60.9.878","volume":"60","author":"GR Kuperberg","year":"2003","unstructured":"Kuperberg GR, Broome MR, McGuire PK et al (2003) (2003) Regionally localized thinning of the cerebral cortex in schizophrenia. Arch Gen Psychiatry 60:878\u2013888. https:\/\/doi.org\/10.1001\/archpsyc.60.9.878","journal-title":"Arch Gen Psychiatry"},{"key":"13287_CR17","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1093\/cercor\/bhh032","volume":"14","author":"DH Salat","year":"2004","unstructured":"Salat DH, Buckner RL, Snyder AZ, Greve DN, Desikan RSR, Busa E, Morris JC, Dae AM, Fischl B (2004) Thinning of the cerebral cortex in aging. Cereb Cortex 14:721\u2013730. https:\/\/doi.org\/10.1093\/cercor\/bhh032","journal-title":"Cereb Cortex"},{"key":"13287_CR18","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1016\/j.neuroimage.2006.02.051","volume":"32","author":"X Han","year":"2006","unstructured":"Han X, Jovicich J, Salat D et al (2006) Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade, and manufacturer. Neuroimage 32:180\u2013194. https:\/\/doi.org\/10.1016\/j.neuroimage.2006.02.051","journal-title":"Neuroimage"},{"key":"13287_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117686","volume":"227","author":"D Tao","year":"2021","unstructured":"Tao D, He Z, Lin Y, Liu C, Tao Q (2021) Where does fear originate in the brain? A coordinate-based meta-analysis of explicit and implicit fear processing. Neuroimage 227:117686. https:\/\/doi.org\/10.1016\/j.neuroimage.2020.117686","journal-title":"Neuroimage"},{"issue":"10","key":"13287_CR20","doi-asserted-by":"publisher","first-page":"1243","DOI":"10.1111\/ene.13689","volume":"25","author":"A Kalron","year":"2018","unstructured":"Kalron A, Allali G, Achiron A (2018) Neural correlates of gait variability in people with multiple sclerosis with a fall history. Eur J Neurol 25(10):1243\u20131249. https:\/\/doi.org\/10.1111\/ene.13689","journal-title":"Eur J Neurol"},{"key":"13287_CR21","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.gaitpost.2020.05.023","volume":"80","author":"I Maidan","year":"2020","unstructured":"Maidan I, Droby A, Jacob Y, Giladi N, Hausdorff JM, Mirelman A (2020) The neural correlates of falls: alterations in large-scale resting-state networks in elderly fallers. Gait Posture 80:56\u201361. https:\/\/doi.org\/10.1016\/j.gaitpost.2020.05.023","journal-title":"Gait Posture"},{"key":"13287_CR22","doi-asserted-by":"publisher","first-page":"732","DOI":"10.1016\/j.dib.2016.10.001","volume":"9","author":"O Potvin","year":"2016","unstructured":"Potvin O, Mouiha A, Dieumegarde L, Duchesne S (2016) Alzheimer\u05f3s disease neuroimaging initiative, FreeSurfer subcortical normative data. Data Brief 9:732\u2013736. https:\/\/doi.org\/10.1016\/j.dib.2016.10.001","journal-title":"Data Brief"},{"key":"13287_CR23","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.neuroimage.2016.05.016","volume":"137","author":"O Potvin","year":"2016","unstructured":"Potvin O, Mouiha A, Dieumegarde L, Duchesne S (2016) Alzheimer\u2019s Disease Neuroimaging Initiative Normative data for subcortical regional volumes over the lifetime of the adult human brain. Neuroimage 137:9\u201320. https:\/\/doi.org\/10.1016\/j.neuroimage.2016.05.016","journal-title":"Neuroimage"},{"issue":"3","key":"13287_CR24","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1037\/0894-4105.20.3.259","volume":"20","author":"JR Crawford","year":"2006","unstructured":"Crawford JR, Garthwaite PH (2006) Comparing patients\u2019 predicted test scores from a regression equation with their obtained scores: a significance test and point estimate of abnormality with accompanying confidence limits. Neuropsychology 20(3):259\u2013271. https:\/\/doi.org\/10.1037\/0894-4105.20.3.259","journal-title":"Neuropsychology"},{"issue":"5","key":"13287_CR25","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1016\/j.apmr.2012.10.034","volume":"94","author":"R van Vliet","year":"2013","unstructured":"van Vliet R, Hoang P, Lord S, Gandevia S, Delbaere K (2013) Falls efficacy scale-international: a cross-sectional validation in people with multiple sclerosis. Arch Phys Med Rehabil 94(5):883\u2013889. https:\/\/doi.org\/10.1016\/j.apmr.2012.10.034. (Epub 2012 Dec 13)","journal-title":"Arch Phys Med Rehabil"},{"issue":"2","key":"13287_CR26","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1093\/ageing\/afp225","volume":"39","author":"K Delbaere","year":"2010","unstructured":"Delbaere K, Close JC, Mikolaizak AS, Sachdev PS, Brodaty H, Lord SR (2010) The Falls Efficacy Scale International (FES-I): A comprehensive longitudinal validation study. Age Ageing 39(2):210\u2013216. https:\/\/doi.org\/10.1093\/ageing\/afp225. (Epub 2010 Jan 8)","journal-title":"Age Ageing"},{"issue":"1","key":"13287_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.14802\/jmd.16062","volume":"10","author":"K Takakusaki","year":"2017","unstructured":"Takakusaki K (2017) Functional neuroanatomy for posture and gait control. J Mov Disord 10(1):1\u201317. https:\/\/doi.org\/10.14802\/jmd.16062","journal-title":"J Mov Disord"},{"key":"13287_CR28","doi-asserted-by":"publisher","DOI":"10.1101\/cshperspect.a041617","author":"JL Lanciego","year":"2024","unstructured":"Lanciego JL, Obeso JA (2024) functional neuroanatomy of the normal and pathological basal ganglia. Cold Spring Harb Perspect Med. https:\/\/doi.org\/10.1101\/cshperspect.a041617","journal-title":"Cold Spring Harb Perspect Med"},{"issue":"7","key":"13287_CR29","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1016\/j.tins.2005.05.004","volume":"28","author":"S Grillner","year":"2005","unstructured":"Grillner S, Hellgren J, M\u00e9nard A, Saitoh K, Wikstr\u00f6m MA (2005) Mechanisms for selection of basic motor programs-roles for the striatum and pallidum. Trends Neurosci 28(7):364\u2013370. https:\/\/doi.org\/10.1016\/j.tins.2005.05.004","journal-title":"Trends Neurosci"},{"issue":"1","key":"13287_CR30","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1136\/jnnp.72.1.12","volume":"72","author":"HA Ring","year":"2002","unstructured":"Ring HA, Serra-Mestres J (2002) Neuropsychiatry of the basal ganglia. J Neurol Neurosurg Psychiatry 72(1):12\u201321. https:\/\/doi.org\/10.1136\/jnnp.72.1.12","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13287_CR31","doi-asserted-by":"publisher","DOI":"10.1523\/ENEURO.0124-24.2024","author":"EL Russell","year":"2024","unstructured":"Russell EL, McDannald MA (2024) Ventral pallidum neurons are necessary to generalize and express fear-related responding in a minimal threat setting. eNeuro. https:\/\/doi.org\/10.1523\/ENEURO.0124-24.2024","journal-title":"eNeuro"},{"key":"13287_CR32","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1146\/annurev.ne.09.030186.002041","volume":"9","author":"GE Alexander","year":"1986","unstructured":"Alexander GE, DeLong MR, Strick PL (1986) Parallel organization of functionally segregated circuits linking basal ganglia and cortex. Annu Rev Neurosci 9:357\u2013381. https:\/\/doi.org\/10.1146\/annurev.ne.09.030186.002041","journal-title":"Annu Rev Neurosci"},{"issue":"12","key":"13287_CR33","doi-asserted-by":"publisher","first-page":"2563","DOI":"10.1007\/s00198-021-06047-6","volume":"32","author":"K Hamed","year":"2021","unstructured":"Hamed K, Roaldsen KS, Halvarsson A (2021) \u201cConcern of falling serves as protection and signifies potential danger\u201d: a qualitative study to conceptualise the phrase \u201cconcern of falling\u201d in women with osteoporosis. Osteoporos Int 32(12):2563\u20132570. https:\/\/doi.org\/10.1007\/s00198-021-06047-6","journal-title":"Osteoporos Int"},{"issue":"7","key":"13287_CR34","doi-asserted-by":"publisher","first-page":"afad093","DOI":"10.1093\/ageing\/afad093","volume":"52","author":"TJ Ellmers","year":"2023","unstructured":"Ellmers TJ, Wilson MR, Kal EC, Young WR (2023) The perceived control model of falling: developing a unified framework to understand and assess maladaptive concern of falling. Age Ageing 52(7):afad093. https:\/\/doi.org\/10.1093\/ageing\/afad093","journal-title":"Age Ageing"},{"issue":"1","key":"13287_CR35","doi-asserted-by":"publisher","first-page":"M28","DOI":"10.1093\/gerona\/50a.1.m28","volume":"50A","author":"LE Powell","year":"1995","unstructured":"Powell LE, Myers AM (1995) The activities-specific balance confidence (ABC) scale. J Gerontol A Biol Sci Med Sci 50A(1):M28-34. https:\/\/doi.org\/10.1093\/gerona\/50a.1.m28","journal-title":"J Gerontol A Biol Sci Med Sci"},{"issue":"8","key":"13287_CR36","doi-asserted-by":"publisher","first-page":"1253","DOI":"10.2522\/ptj.20100304","volume":"91","author":"MR Landers","year":"2011","unstructured":"Landers MR, Durand C, Powell DS, Dibble LE, Young DL (2011) Development of a scale to assess avoidance behavior due to a concern of falling: the Concern of falling Avoidance Behavior Questionnaire. Phys Ther 91(8):1253\u20131265. https:\/\/doi.org\/10.2522\/ptj.20100304","journal-title":"Phys Ther"},{"key":"13287_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.msard.2024.105506","volume":"84","author":"L Abou","year":"2024","unstructured":"Abou L, Peters J, Freire B, Sosnoff JJ (2024) Fear of falling and common symptoms of multiple sclerosis: physical function, cognition, fatigue, depression, and sleep\u2014a systematic review. Mult Scler Relat Disord 84:105506. https:\/\/doi.org\/10.1016\/j.msard.2024.105506","journal-title":"Mult Scler Relat Disord"},{"issue":"1","key":"13287_CR38","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1007\/s00415-011-6147-1","volume":"259","author":"S Batista","year":"2012","unstructured":"Batista S, Zivadinov R, Hoogs M, Bergsland N, Heininen-Brown M, Dwyer MG, Weinstock-Guttman B, Benedict RH (2012) Basal ganglia, thalamus and neocortical atrophy predicting slowed cognitive processing in multiple sclerosis. J Neurol 259(1):139\u2013146. https:\/\/doi.org\/10.1007\/s00415-011-6147-1","journal-title":"J Neurol"},{"issue":"4","key":"13287_CR39","doi-asserted-by":"publisher","first-page":"586","DOI":"10.1212\/01.wnl.0000110316.12086.0c","volume":"62","author":"A Feinstein","year":"2004","unstructured":"Feinstein A, Roy P, Lobaugh N, Feinstein K, O\u2019Connor P, Black S (2004) Structural brain abnormalities in multiple sclerosis patients with major depression. Neurology 62(4):586\u2013590. https:\/\/doi.org\/10.1212\/01.wnl.0000110316.12086.0c","journal-title":"Neurology"}],"container-title":["Journal of Neurology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00415-025-13287-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00415-025-13287-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00415-025-13287-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,31]],"date-time":"2025-08-31T02:36:18Z","timestamp":1756607778000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00415-025-13287-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":39,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["13287"],"URL":"https:\/\/doi.org\/10.1007\/s00415-025-13287-7","relation":{},"ISSN":["0340-5354","1432-1459"],"issn-type":[{"value":"0340-5354","type":"print"},{"value":"1432-1459","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8]]},"assertion":[{"value":"22 May 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 July 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 July 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 August 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"None.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}},{"value":"The study was approved by the Sheba Institutional Review Board Ethics Committee (Ethics ref. 5596\u201008\/141210) in addition to a full exemption from written or verbal consent from the study participants. Hence, individual data will be unavailable to protect the participants\u2019 identity.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}],"article-number":"552"}}