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Probabilistic mapping of human functional brain networks identifies regions of high group consensus.
Dworetsky, Ally; Seitzman, Benjamin A; Adeyemo, Babatunde; Neta, Maital; Coalson, Rebecca S; Petersen, Steven E; Gratton, Caterina.
Affiliation
  • Dworetsky A; Department of Radiology, Washington University School of Medicine, USA; Department of Psychology, Northwestern University, USA.
  • Seitzman BA; Department of Neurology, Washington University School of Medicine, USA.
  • Adeyemo B; Department of Neurology, Washington University School of Medicine, USA.
  • Neta M; Department of Psychology, University of Nebraska-Lincoln, USA.
  • Coalson RS; Department of Radiology, Washington University School of Medicine, USA; Department of Neurology, Washington University School of Medicine, USA.
  • Petersen SE; Department of Radiology, Washington University School of Medicine, USA; Department of Neurology, Washington University School of Medicine, USA; Department of Psychological and Brain Sciences, Washington University School of Medicine, USA; Department of Neuroscience, Washington University School of M
  • Gratton C; Department of Psychology, Northwestern University, USA; Department of Neurology, Northwestern University, USA; Interdepartmental Neuroscience Program, Northwestern University, USA.
Neuroimage ; 237: 118164, 2021 08 15.
Article in En | MEDLINE | ID: mdl-34000397
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Mapping / Magnetic Resonance Imaging / Cerebral Cortex / Individuality / Nerve Net Limits: Adult / Female / Humans / Male Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2021 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Mapping / Magnetic Resonance Imaging / Cerebral Cortex / Individuality / Nerve Net Limits: Adult / Female / Humans / Male Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2021 Document type: Article Affiliation country: United States Country of publication: United States