Robust lesion network mapping reveals genuine symptom-specific networks.

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Bibliographic Details
Title: Robust lesion network mapping reveals genuine symptom-specific networks.
Authors: Cui W; Changping Laboratory, Beijing, China., Zhu J; Changping Laboratory, Beijing, China.; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China., Long Y; Changping Laboratory, Beijing, China.; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China., Zhang W; Changping Laboratory, Beijing, China., Huang J; Changping Laboratory, Beijing, China., Wang F; Department of Neurosurgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China., Gordon EM; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA.; Allied Labs for Imaging Guided Neurotherapies (ALIGN), Washington University School of Medicine, St Louis, MO, USA., Dosenbach NUF; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA.; Allied Labs for Imaging Guided Neurotherapies (ALIGN), Washington University School of Medicine, St Louis, MO, USA.; Department of Neurology, Washington University School of Medicine, St Louis, MO, USA.; Department of Biomedical Engineering, Washington University in St. Louis, St Louis, MO, USA.; Department of Psychological and Brain Sciences, Washington University in St. Louis, St Louis, MO, USA.; Department of Pediatrics, Washington University School of Medicine, St Louis, MO, USA., Wang D; Changping Laboratory, Beijing, China., Ren J; Changping Laboratory, Beijing, China., Liu H; Changping Laboratory, Beijing, China.; Biomedical Pioneering Innovation Center, Peking University, Beijing, China.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2026 May 18. Date of Electronic Publication: 2026 May 18.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.64898/2026.05.18.725812