The DOI matches its Crossref record; 210 of the 210 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Items 201–210 of 210
Ellegood, J., Yee, Y., Kerr, T. M., Muller, C. L., Blakely, R., Henkelman, R. M., Veenstra-VanderWeele, J. M., & Lerch, J. P. (2018) · Molecular Autism · doi:10.1186/s13229-018-0210-z · Cited by 18
A network analysis of the dynamics of seizure
Burns, S. P., Sritharan, D., Jouny, C. C., Bergey, G. K., Crone, N. E., Anderson, W. S., & Sarma, S. V. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6347012 · Cited by 16
Connectopathy in ageing and dementia
Toga, A. W., & Thompson, P. M. (2014) · Brain · doi:10.1093/brain/awu276 · Cited by 14
Jung, M., Kosaka, H., Saito, D. N., Ishitobi, M., Munesue, T., Tomoda, A., Wada, Y., Okazawa, H., & Iidaka, T. (2014) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2014.08.851 · Cited by 14
Shared vulnerability for connectome alterations across psychiatric and neurological brain disordersPreprint
de Lange, S. C., Scholtens, L. H., van den Berg, L. H., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/360586 · Cited by 14
A Connectome Wide Functional Signature of Transdiagnostic Risk for Mental IllnessPreprint
Elliott, M. L., Romer, A. L., Knodt, A. R., & Hariri, A. R. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/196220 · Cited by 13
Zhan, L., Jenkins, L. M., Zhang, A., Conte, G., Forbes, A. G., Harvey, D. J., Angkustsiri, K., Goodrich‐Hunsaker, N. J., Durdle, C. A., Lee, A., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23838 · Cited by 11
Mitchell, P. B., Breakspear, M. J., Roberts, G. M. P., Perry, A., Frankland, A., Lord, A., Leung, V., Holmes-Preston, E., Lenroot, R., & Lévy, F. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.02.851 · Cited by 7
Network analysis and the connectopathies: current research and future approaches.
Martin, G. (2012) · PubMed · Cited by 6
Senden, M., Reuter, N., van den Heuvel, M. P., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/185603 · Cited by 5
Research works printed but not linked: 1
- Wolf, D. A. & Mash, E. J. (eds) Behavioral and Emotional Disorders in Adolescents: Nature, Assessment, and Treatment (Guilford Press, 2008).
Cited by
Sorted by citations
New insights into atypical Alzheimer's disease in the era of biomarkers
Graff-Radford, J., Yong, K. X. X., Apostolova, L. G., Bouwman, F. H., Carrillo, M., Dickerson, B. C., Rabinovici, G. D., Schott, J. M., Jones, D. T., & Murray, M. E. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(20)30440-3 · Cited by 706
Graph Neural Networks in Network Neuroscience
Bessadok, A., Mahjoub, M. A., & Rekik, I. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3209686 · Cited by 385
Brain network communication: concepts, models and applications
Seguin, C., Sporns, O., & Zalesky, A. (2023) · Nature reviews. Neuroscience · doi:10.1038/s41583-023-00718-5 · Cited by 329
Self-citationToward a neurocircuit-based taxonomy to guide treatment of obsessive-compulsive disorder
Shephard, E., Stern, E. R., van den Heuvel, O. A., Costa, D. L. C., Batistuzzo, M. C., Godoy, P. B. G., Lopes, A. C., Brunoni, A. R., Hoexter, M. Q., Shavitt, R. G., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-01007-8 · Cited by 250
Common genetic variation influencing human white matter microstructure
Zhao, B., Li, T., Yang, Y., Wang, X., Luo, T., Shan, Y., Zhu, Z., Xiong, D., Hauberg, M. E., Bendl, J. M., et al. (2021) · Science · doi:10.1126/science.abf3736 · Cited by 222
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review