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We applied neuroanatomical normative modelling to quantify individual atrophy patterns and heterogeneity within and between FTLD forms.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We included 160 participants across FTLDNI and 4RTNI studies: controls (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200915), bvFTD (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200922), nfvPPA (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200914), svPPA (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200921), CBS (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200943) and PSP (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200945). Using cortical thickness and subcortical volumes from 3T MRIs, we applied normative modelling with a large healthy reference dataset (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200958,836), further accounting for age, sex, and scanner. Outlier regions (\n                      <jats:italic>z<\/jats:italic>\n                      \u2009&lt;\u2009\u2013\u20091.96) were used to compute total outlier counts (tOC) and Hamming distances, capturing individual atrophy patterns and inter-subject dissimilarity.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>bvFTD, svPPA, CBS and PSP showed significantly higher cortical tOC than controls, with all groups showing higher subcortical tOC than controls, especially svPPA and PSP. bvFTD, svPPA, CBS and PSP had significantly higher cortical Hamming distance scores than controls, with higher scores in bvFTD and svPPA than nfvPPA and PSP. svPPA and PSP had significantly higher subcortical scores than controls and CBS. Greater disease severity (measured using the Clinical Dementia Rating\u2014CDR for PSP and CBS, and the CDR\u00ae plus NACC-FTLD global scores for FTD variants) was associated with increased tOC and dissimilarity, highlighting the link between clinical progression and neuroanatomical heterogeneity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The pronounced heterogeneity within and between FTLD subtypes (particularly in bvFTD) increases with disease progression and may reflect distinct underlying pathologies. This supports the development of subtype-specific biomarkers and emphasize the need for personalized diagnostic and therapeutic strategies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00415-025-13378-5","type":"journal-article","created":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T04:13:37Z","timestamp":1758600817000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Neuroanatomical normative modelling in frontotemporal lobar degeneration: higher heterogeneity in the behavioural variant"],"prefix":"10.1007","volume":"272","author":[{"given":"Srijan","family":"Konwar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikolett","family":"Hunyadvari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Annalena","family":"Venneri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James H.","family":"Cole","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1814-5024","authenticated-orcid":false,"given":"Martina","family":"Bocchetta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"for the Frontotemporal Lobar Degeneration Neuroimaging Initiative and for the 4-Repeat Tauopathy Neuroimaging Initiative","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,9,23]]},"reference":[{"issue":"1","key":"13378_CR1","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1177\/2045125317739818","volume":"8","author":"JJ Young","year":"2018","unstructured":"Young JJ, Lavakumar M, Tampi D, Balachandran S, Tampi RR (2018) Frontotemporal dementia: latest evidence and clinical implications. 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