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A cross-disorder connectome landscape of brain dysconnectivity
Open accessAbstract
Many human brain disorders are associated with characteristic alterations in the structural and functional connectivity of the brain. In this article, we explore how commonalities and differences in connectome alterations can reveal relationships across disorders. We survey recent literature on connectivity changes in neurological and psychiatric disorders in the context of key organizational principles of the human connectome and observe that several disturbances to network properties of the human brain have a common role in a wide range of brain disorders and point towards potentially shared network mechanisms underpinning disorders. We hypothesize that the distinct dimensions along which connectome networks are organized (for example, 'modularity' and 'integration') provide a general coordinate system that allows description and categorization of relationships between seemingly disparate disorders. We outline a cross-disorder 'connectome landscape of dysconnectivity' along these principal dimensions of network organization that may place shared connectome alterations between brain disorders in a common framework.
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“High levels of psychiatric comorbidity and heterogeneity, fluid symptom trajectories, cross-diagnostic overlap in genetic and neurobiological factors, and the limited efficacy of many psychiatric treatments restrict our understanding of the neurobiology of mental illness based on categorical diagnoses [3–6].”
From Toward a neurocircuit-based taxonomy to guide treatment of obsessive-compulsive disorder (2021) · cites this paper as [5]
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“the complex phenomenology of the condition likely reflects widespread abnormalities across multiple brain regions and circuits encompassing a variety of emotional, cognitive, and behavioral domains, like most psychiatric disorders [5, 7].”
From Toward a neurocircuit-based taxonomy to guide treatment of obsessive-compulsive disorder (2021) · cites this paper as [5]
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Common genetic variation influencing human white matter microstructure
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Metadata
- Authors
- van den Heuvel, M. P., & Sporns, O.
- Affiliations
- Indiana University Bloomington (US)
- ORCID
- Sporns, Olaf
- Venue
- Nature Reviews Neuroscience
- Published
- 2019-05-24
- Volume
- 20
- Issue
- 7
- Pages
- 435-446
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- PMC
- PMC8864539
- OpenAlex
- W2945032471
- Cited by
- 462
- References
- 207
- Citations by year
- 2026: 58 · 2025: 73 · 2024: 60 · 2023: 55 · 2022: 75 · 2021: 76 · 2020: 56 · 2019: 9
- FWCI
- 6.84
- Type
- journal article
- Language
- en
- Open access
- green
- pure.amsterdamumc.nl
- Licence
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- PubMed Central (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (452-16-015, VIDI-452-16-015, ALWOP.179)
- National Institutes of Health
- National Center for Complementary and Integrative Health (R01AT009036)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- brain dysconnectivity, connectome, cross-disorder analysis, structural connectivity, functional connectivity, network modularity, network integration, neurological disorders, mental illness
- MeSH terms
- Animals, Brain, Brain Diseases, Humans, Nerve Net, Connectome
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