{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T15:55:14Z","timestamp":1786636514716,"version":"build-2736575974"},"reference-count":55,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"vor","delay-in-days":17,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2025,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Early\u2010Onset Dementia (EOD), including Frontotemporal Dementia (FTD), behavioral variant FTD (bvFTD), and Early\u2010Onset Alzheimer\u2019s Disease (EOAD), presents significant diagnostic and therapeutic challenges due to heterogeneous clinical features and rapid progression. EOD involves distinct patterns of brain network disruption, measurable through graph\u2010theoretical analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We reviewed 23 studies applying graph theory to electroencephalography (EEG), functional MRI (fMRI), diffusion tensor imaging (DTI), and fluorodeoxyglucose positron emission tomography (FDG\u2010PET) in EOD populations. Metrics included global and local efficiency, small\u2010world properties, modularity, hub connectivity, and rich\u2010club organization.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>EOD demonstrates widespread topological disruption, including reduced global and local efficiency, hub vulnerability, and modular fragmentation. Subtype\u2010specific patterns include compensatory efficiency increases and parietal\u2010to\u2010frontal hub shifts in FTD; disruption of hub connectivity and modular integrity within the salience network in bvFTD; and pronounced deterioration of the default\u2010mode network in EOAD. Small\u2010world properties are generally preserved in early stages, reflecting initial compensatory reorganization that precedes system\u2010wide collapse.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Graph\u2010theoretical analysis reveals characteristic topological disruptions in EOD. However, most studies rely on static measures, limiting insight into dynamic network vulnerability. Incorporating network resilience based computational models, longitudinal designs, and standardized analytical pipelines could clarify network failure mechanisms, uncover latent fragilities, and guide targeted interventions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/brb3.70903","type":"journal-article","created":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T07:01:06Z","timestamp":1763535666000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Brain Topology Disruption in Early\u2010Onset Dementia: Review of Current Findings and the Need for Network Resilience Focused Models"],"prefix":"10.1002","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9520-2526","authenticated-orcid":false,"given":"Hema","family":"Nawani","sequence":"first","affiliation":[{"name":"Cognitive Neuroscience Lab BITS Pilani K K Birla Goa Campus Goa India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sredha S.","family":"Sunil","sequence":"additional","affiliation":[{"name":"Cognitive Neuroscience Lab BITS Pilani K K Birla Goa Campus Goa India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-4831-0901","authenticated-orcid":false,"given":"Ranjith","family":"Jaganathan","sequence":"additional","affiliation":[{"name":"Cognitive Neuroscience Lab BITS Pilani K K Birla Goa Campus Goa India"},{"name":"Consciousness Studies Programme National Institute of Advanced Studies Bengaluru India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9980-5738","authenticated-orcid":false,"given":"Veeky","family":"Baths","sequence":"additional","affiliation":[{"name":"Cognitive Neuroscience Lab BITS Pilani K K Birla Goa Campus Goa India"},{"name":"Department of Computer Science and Information Systems BITS Pilani K. 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