The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
A Review of the Functional and Anatomical Default Mode Network in Schizophrenia
Open accessAbstract
Schizophrenia is a severe mental disorder characterized by impaired perception, delusions, thought disorder, abnormal emotion regulation, altered motor function, and impaired drive. The default mode network (DMN), since it was first proposed in 2001, has become a central research theme in neuropsychiatric disorders, including schizophrenia. In this review, first we define the DMN and describe its functional activity, functional and anatomical connectivity, heritability, and inverse correlation with the task positive network. Second, we review empirical studies of the anatomical and functional DMN, and anti-correlation between DMN and the task positive network in schizophrenia. Finally, we review preliminary evidence about the relationship between antipsychotic medications and regulation of the DMN, review the role of DMN as a treatment biomarker for this disease, and consider the DMN effects of individualized therapies for schizophrenia.
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“a wealth of evidence links abnormalities in the corpus callosum and interhemispheric connectivity (driven by callosal projection neurons) to many neurodevelopmental disorders, among them ASD and SCZ2,3,111,112.”
From CYFIP1 governs the development of cortical axons by modulating calcium availability (2025) · cites this paper as [3]
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A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
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Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Large-scale brain networks and psychopathology: a unifying triple network model
Menon, V. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.08.003 · Cited by 4,168
Predicting human resting-state functional connectivity from structural connectivity
Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., & Hagmann, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811168106 · Cited by 3,307
A method for making group inferences from functional MRI data using independent component analysis
Calhoun, V. D., Adali, T., Pearlson, G. D., & Pekar, J. J. (2001) · Human Brain Mapping · doi:10.1002/hbm.1048 · Cited by 2,994
Functional-anatomic fractionation of the brain’s default network
Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R., & Buckner, R. L. (2010) · Neuron · doi:10.1016/j.neuron.2010.02.005 · Cited by 2,767
The Dopamine Hypothesis of Schizophrenia: Version III--The Final Common Pathway
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Schizophrenia as a Complex Trait: Evidence From a Meta-analysis of Twin Studies
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Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
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Jauhar, S., Johnstone, M., & McKenna, P. J. (2022) · The Lancet · doi:10.1016/s0140-6736(21)01730-x · Cited by 1,116
The schizophrenia syndrome, circa 2024: What we know and how that informs its nature
Tandon, R., Nasrallah, H. A., Akbarian, S., Carpenter, W. T., DeLisi, L. E., Gäebel, W., Green, M. F., Gur, R. E., Heckers, S., Kane, J. M., et al. (2023) · Schizophrenia Research · doi:10.1016/j.schres.2023.11.015 · Cited by 205
Zhao, C., Zhu, J., Liu, X., Pu, C., Lai, Y., Chen, L., Yu, X., & Hong, N. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.12.017 · Cited by 153
Autism spectrum disorder and schizophrenia: An updated conceptual review
Jutla, A., Foss‐Feig, J. H., & Veenstra-VanderWeele, J. M. (2021) · Autism Research · doi:10.1002/aur.2659 · Cited by 166
Syan, S. K., Smith, M., Frey, B. N., Remtulla, R., Kapczinski, F. P., Hall, G. B., & Minuzzi, L. (2018) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.170175 · Cited by 149
Metadata
- Authors
- Hu, M.-L., Zong, X.-F., Mann, J. J., Zheng, J.-J., Liao, Y.-H., Li, Z.-C., He, Y., Chen, X.-G., & Tang, J.-S.
- Affiliations
- New York State Psychiatric Institute (US)
- ORCID
- Mann, J. John
- Venue
- Neuroscience Bulletin
- Published
- 2016-12-19
- Volume
- 33
- Issue
- 1
- Pages
- 73-84
- ISSN
- 1995-8218 (ISSN-L)
- 1673-7067
- PMC
- PMC5567552
- OpenAlex
- W2565049982
- Cited by
- 331
- References
- 67
- Citations by year
- 2026: 20 · 2025: 48 · 2024: 43 · 2023: 46 · 2022: 47 · 2021: 38 · 2020: 36 · 2019: 27 · 2018: 19 · 2017: 6 · 2016: 1
- FWCI
- 1.86
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Neuroscience Bulletin (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (973 Program, 81271484, 30900486, 81471361, 81371480)
- China Scholarship Council (201506370095)
- National Key Research and Development Program of China (2012CB517904)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
- Keywords
- default mode network, schizophrenia, functional connectivity, structural connectivity, task-positive network, heritability, antipsychotic drugs, treatment biomarkers, personalized treatment, brain network dysfunction
- MeSH terms
- Brain, Humans, Models, Neurological, Schizophrenia
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