{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T20:23:10Z","timestamp":1791663790943,"version":"4.3.4"},"reference-count":71,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T00:00:00Z","timestamp":1688083200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurol."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>The traditional approach to studying the neurobiological mechanisms of brain disorders and localizing brain function involves identifying brain abnormalities and comparing them to matched controls. This method has been instrumental in clinical neurology, providing insight into the functional roles of different brain regions. However, it becomes challenging when lesions in diverse regions produce similar symptoms. To address this, researchers have begun mapping brain lesions to functional or structural networks, a process known as lesion network mapping (LNM). This approach seeks to identify common brain circuits associated with lesions in various areas. In this review, we focus on recent studies that have utilized LNM to map neurological and psychiatric symptoms, shedding light on how this method enhances our understanding of brain network functions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We conducted a systematic search of four databases: PubMed, Scopus, and Web of Science, using the term \u201cLesion network mapping.\u201d Our focus was on observational studies that applied lesion network mapping in the context of neurological and psychiatric disorders.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Following our screening process, we included 52 studies, comprising a total of 6,814 subjects, in our systematic review. These studies, which utilized functional connectivity, revealed several regions and network overlaps across various movement and psychiatric disorders. For instance, the cerebellum was found to be part of a common network for conditions such as essential tremor relief, parkinsonism, Holmes tremor, freezing of gait, cervical dystonia, infantile spasms, and tics. Additionally, the thalamus was identified as part of a common network for essential tremor relief, Holmes tremor, and executive function deficits. The dorsal attention network was significantly associated with fall risk in elderly individuals and parkinsonism.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>LNM has proven to be a powerful tool in localizing a broad range of neuropsychiatric, behavioral, and movement disorders. It holds promise in identifying new treatment targets through symptom mapping. Nonetheless, the validity of these approaches should be confirmed by more comprehensive prospective studies.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fneur.2023.1100067","type":"journal-article","created":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T20:29:40Z","timestamp":1688156980000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Functional and structural lesion network mapping in neurological and psychiatric disorders: a systematic review"],"prefix":"10.3389","volume":"14","author":[{"given":"Fardin","family":"Nabizadeh","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad Hadi","family":"Aarabi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2023,6,30]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"15","DOI":"10.3389\/fneur.2011.00015","article-title":"\"studying injured minds\" - the Vietnam head injury study and 40\u2009years of brain injury research","volume":"2","author":"Raymont","year":"2011","journal-title":"Front Neurol"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"813","DOI":"10.1038\/nrn1521","article-title":"Using human brain lesions to infer function: a relic from a past era in the fMRI age?","volume":"5","author":"Rorden","year":"2004","journal-title":"Nat Rev Neurosci"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1038\/nrn3901","article-title":"The connectomics of brain disorders","volume":"16","author":"Fornito","year":"2015","journal-title":"Nat Rev Neurosci"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"3061","DOI":"10.1093\/brain\/awv228","article-title":"Network localization of neurological symptoms from focal brain lesions","volume":"138","author":"Boes","year":"2015","journal-title":"Brain"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"1299","DOI":"10.1038\/s41380-019-0565-3","article-title":"Lesions causing hallucinations localize to one common brain network","volume":"26","author":"Kim","year":"2021","journal-title":"Mol Psychiatry"},{"key":"ref6","doi-asserted-by":"publisher","first-page":"4385","DOI":"10.1093\/brain\/awac009","article-title":"A neural network for tics: insights from causal brain lesions and deep brain stimulation","volume":"145","author":"Ganos","year":"2022","journal-title":"Brain"},{"key":"ref7","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1093\/brain\/aww288","article-title":"Finding the imposter: brain connectivity of lesions causing delusional misidentifications","volume":"140","author":"Darby","year":"2017","journal-title":"Brain"},{"key":"ref8","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1002\/ana.24845","article-title":"Lesions causing freezing of gait localize to a cerebellar functional network","volume":"81","author":"Fasano","year":"2017","journal-title":"Ann Neurol"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/B978-0-12-821861-7.00010-5","article-title":"Chapter 15 - using brain lesions to inform connectomic DBS","volume-title":"Connectomic Deep Brain Stimulation","author":"Joutsa","year":"2022"},{"key":"ref10","doi-asserted-by":"publisher","first-page":"3975","DOI":"10.1093\/brain\/awz332","article-title":"Looking beyond the face area: lesion network mapping of prosopagnosia","volume":"142","author":"Cohen","year":"2019","journal-title":"Brain"},{"key":"ref11","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1016\/j.biopsych.2019.07.023","article-title":"A human depression circuit derived from focal brain lesions","volume":"86","author":"Padmanabhan","year":"2019","journal-title":"Biol Psychiatry"},{"key":"ref12","doi-asserted-by":"publisher","first-page":"1707","DOI":"10.1038\/s41562-021-01161-1","article-title":"Brain stimulation and brain lesions converge on common causal circuits in neuropsychiatric disease. 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