Journal article
Cognitive impairment after focal brain lesions is better predicted by damage to structural than functional network hubs
Proceedings of the National Academy of Sciences - PNAS, Vol.118(19), e2018784118
05/11/2021
DOI: 10.1073/pnas.2018784118
PMID: 33941692
Abstract
Hubs are highly connected brain regions important for coordinating processing in brain networks. It is unclear, however, which measures of network "hubness" are most useful in identifying brain regions critical to human cognition. We tested how closely two measures of hubness-edge density and participation coefficient, derived from white and gray matter, respectively-were associated with general cognitive impairment after brain damage in two large cohorts of patients with focal brain lesions (N = 402 and 102, respectively) using cognitive tests spanning multiple cognitive domains. Lesions disrupting white matter regions with high edge density were associated with cognitive impairment, whereas lesions damaging gray matter regions with high participation coefficient had a weaker, less consistent association with cognitive outcomes. Similar results were observed with six other gray matter hubness measures. This suggests that damage to densely connected white matter regions is more cognitively impairing than similar damage to gray matter hubs, helping to explain interindividual differences in cognitive outcomes after brain damage.
Details
- Title: Subtitle
- Cognitive impairment after focal brain lesions is better predicted by damage to structural than functional network hubs
- Creators
- Justin Reber - Department of Neurology (Division of Neuropsychology and Cognitive Neuroscience), Carver College of Medicine, Iowa City, IA, 52242Kai Hwang - Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, 52242Mark Bowren - Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, 52242Joel Bruss - Department of Neurology (Division of Neuropsychology and Cognitive Neuroscience), Carver College of Medicine, Iowa City, IA, 52242Pratik Mukherjee - Department of Radiology and Bioengineering, University of California, San Francisco, CA 94143Daniel Tranel - Department of Neurology (Division of Neuropsychology and Cognitive Neuroscience), Carver College of Medicine, Iowa City, IA, 52242Aaron D Boes - Department of Pediatrics, Carver College of Medicine, Iowa City, IA 52242
- Resource Type
- Journal article
- Publication Details
- Proceedings of the National Academy of Sciences - PNAS, Vol.118(19), e2018784118
- DOI
- 10.1073/pnas.2018784118
- PMID
- 33941692
- NLM abbreviation
- Proc Natl Acad Sci U S A
- ISSN
- 0027-8424
- eISSN
- 1091-6490
- Publisher
- National Academy of Sciences; United States
- Grant note
- DOI: 10.13039/100000065, name: HHS | NIH | National Institute of Neurological Disorders and Stroke, award: RO1-NS114405; DOI: 10.13039/100000025, name: HHS | NIH | National Institute of Mental Health, award: RO1-MH122613; DOI: 10.13039/100000025, name: HHS | NIH | National Institute of Mental Health, award: P50 MH094258; DOI: 10.13039/100000025, name: HHS | NIH | National Institute of Mental Health, award: R21MH120441; DOI: 10.13039/100000057, name: HHS | NIH | National Institute of General Medical Sciences, award: T32MH19113-27
- Language
- English
- Date published
- 05/11/2021
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Neurology; Psychiatry; Stead Family Department of Pediatrics; Psychological and Brain Sciences; Iowa Neuroscience Institute; Neurology (Pediatrics)
- Record Identifier
- 9984071754202771
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