Fully Automated Habenula Segmentation Provides Robust and Reliable Volume Estimation Across Large Magnetic Resonance Imaging Datasets, Suggesting Intriguing Developmental Trajectories in Psychiatric Disease.

Saved in:
Bibliographic Details
Title: Fully Automated Habenula Segmentation Provides Robust and Reliable Volume Estimation Across Large Magnetic Resonance Imaging Datasets, Suggesting Intriguing Developmental Trajectories in Psychiatric Disease.
Authors: Germann J; University Health Network, Toronto, Ontario, Canada; Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada. Electronic address: germannj@gmail.com., Gouveia FV; Sunnybrook Research Institute, Toronto, Ontario, Canada., Martinez RCR; Division of Neuroscience, Hospital Sírio-Libanês, São Paulo, Brazil; Laboratory of Psychopathology and Psychiaric Therapeutics (LIM-23), Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil., Zanetti MV; Division of Neuroscience, Hospital Sírio-Libanês, São Paulo, Brazil; Laboratory of Psychiatric Neuroimaging (LIM-21), Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil., de Souza Duran FL; Laboratory of Psychiatric Neuroimaging (LIM-21), Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil., Chaim-Avancini TM; Laboratory of Psychiatric Neuroimaging (LIM-21), Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil., Serpa MH; Laboratory of Psychiatric Neuroimaging (LIM-21), Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil., Chakravarty MM; Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada., Devenyi GA; Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada.
Source: Biological psychiatry. Cognitive neuroscience and neuroimaging [Biol Psychiatry Cogn Neurosci Neuroimaging] 2020 Sep; Vol. 5 (9), pp. 923-929. Date of Electronic Publication: 2020 Jan 31.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier, Inc Country of Publication: United States NLM ID: 101671285 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2451-9030 (Electronic) Linking ISSN: 24519022 NLM ISO Abbreviation: Biol Psychiatry Cogn Neurosci Neuroimaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2451-9030
DOI:10.1016/j.bpsc.2020.01.004