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.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measured
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
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
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
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
Howes, O. D., & Kapur, S. (2009) · Schizophrenia Bulletin · doi:10.1093/schbul/sbp006 · Cited by 2,693
Schizophrenia as a Complex Trait: Evidence From a Meta-analysis of Twin Studies
Sullivan, P. F., Kendler, K. S., & Neale, M. C. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.12.1187 · Cited by 2,356
Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175
Cited by
Sorted by citations
Items 301–331 of 331
Puberty interacts with sleep and brain network organization to predict mental healthPreprint
Mitchell, M. E., & Nugiel, T. (2024) · doi:10.31234/osf.io/xt28u
Auditory hallucinations in non-psychotic disorders – an analytical psychological perspective
Howe, A. J., Demjaha, A., & Lu, K. (2024) · Psychoanalytic Psychotherapy · doi:10.1080/02668734.2024.2367432
Dauvermann, M. R., Costello, L., Nabulsi, L., Philemy, G. M., Corley, E., Fernandes, A., Kakodkar, P., Neo, W. X., Mothersill, D., Holleran, L., et al. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.10.030
Neural Influencers in the Brain
Makse, H. A., & Zava, M. (2024) · Understanding complex systems · doi:10.1007/978-3-031-78058-5_6
Strock, A., Nghiem, T.-A. E., Lecea, A. D., Hassan, A., Ryali, S., & Menon, V. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.24.639808
Improved Dictionary Learning for FMRI Data Analysis Capturing Common and Individual Activation Maps
Xu, S., Jin, R., Kim, S.-J., Adalı, T., & Calhoun, V. D. (2024) · Asilomar Conference on Signals, Systems and Computers (ACSSC) · doi:10.1109/ieeeconf60004.2024.10943002
Ji, Y., Duan, Y.-C., Zhou, L., Chai, H., Yuan, H.-Y., Dong, Z.-E., Yao, L.-L., & Wu, X. (2025) · Neuroreport · doi:10.1097/wnr.0000000000002161
陈, 贵. (2025) · Advances in Applied Mathematics · doi:10.12677/aam.2025.146323
A frame network study of first-episode schizophrenia, ultra-high risk, and healthy populations
Zhang, Z., Ma, X., Ouyang, L., Li, Z., Liu, W. W., Hé, Y., Lv, J., Chen, X., & Yuan, L. (2025) · Schizophrenia · doi:10.1038/s41537-025-00658-2
Self-citationKhosravi, M. (2025) · European Journal of Translational Myology · doi:10.4081/ejtm.2025.14206
Guo, Q., Zhu, R., Gao, J., Wang, A., Fan, R., Wang, D., Wang, D., & Zhang, X. (2025) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2025.104733
Noncanonical Neural-Hemodynamic Coupling by Default and in Schizophrenia
Jacob, M., Roach, B. J., Mathalon, D. H., & Ford, J. M. (2025) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2025.11.002 · Cited by 6
Cao, J., Chai‐Zhang, T. C., Huang, Y., Eshel, M. N., & Kong, J. (2021) · Figshare · doi:10.6084/m9.figshare.15145928
Wen, X., Shu, Y., Qu, D., Wang, Y., Cui, Z., Zhang, X., & Chen, R. (2023) · Figshare · doi:10.6084/m9.figshare.22622075
Oh, K.-H., Oh, I.-S., Tsogt, U., Shen, J., Kim, W.-S., Liu, C., Kang, N.-I., Lee, K.-H., Jing Sui (Beijing Normal University), my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Kim, S.-W., et al. (2022) · Figshare · doi:10.6084/m9.figshare.18585880
Fusion of Multi-Task fMRI Data: Guided Solutions for IVA and Transposed IVA
Kumbasar, E. E., Yang, H., Calhoun, V. D., & Adalı, T. (2026) · Sensors · doi:10.3390/s26020716
Koç, M. İ., Otte, M., Schmitgen, M. M., Wolf, N. D., Balcik, Y., Tech, C., Prieult, Y. L., & Wolf, R. C. (2026) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2026.112159
Ghinda, D., Johnson, R., Butala, A., Mills, K. A., Cascella, N. G., & Anderson, W. S. (2026) · Deep Brain Stimulation · doi:10.1016/j.jdbs.2026.02.002
Liao, A., Liu, Q., Li, Z., & Zhao, L. (2026) · Journal of Psychiatry and Brain Science · doi:10.20900/jpbs.20260003
Self-citationThe Self in Neuroscience and Psychiatry
Oyebode, F. (2026) · Springer eBooks · doi:10.1007/978-3-032-09475-9_15
Kang, Y., Yang, J., Zhang, R., Guo, H., Liu, F., Zhang, Y., & Wang, G. (2026) · Behavioural Brain Research · doi:10.1016/j.bbr.2026.116184
Dupuy, M. (2018) · theses.fr (ABES) · doi:10.70675/1f2b3933z599fz43fczb73dz43b9b1f347b7
Knippenberg, A. R., Sweet, L. H., Luther, L., Kim, S., & Strauss, G. P. (2026) · Schizophrenia · doi:10.1038/s41537-026-00756-9
Maladaptive Attentional Processes
Yates, J. R. (2026) · Springer eBooks · doi:10.1007/978-3-032-15602-0_5
Social priors and mentalizing connectivity across autistic and schizotypal traits
拓欣, Zhou, H., & Wang, Y. (2026) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsag033
Cheng, P., Liu, Z., Li, X., Wang, F., Chen, X., Li, W., Wang, C., Jiang, Y., Feng, J., Yang, Y., et al. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03668-3
Self-citationDecreased variability of small-world propensity during non-response tasks in schizophrenia
Crandles, B., Jetha, M. K., Schmidt, L. A., Segalowitz, S. J., & Marshall, W. (2026) · Neuroimage Reports · doi:10.1016/j.ynirp.2026.100368
Joo, S. W., & Lee, J. (2026) · Dialogues in Clinical Neuroscience · doi:10.1080/19585969.2026.2682773
Choucroun, A., Roy, O., Potvin, S., Palaniyappan, L. K., Zeramdini, N., Aiyaar, A., Picard, K., Zanjani, S., Parekh, D., Markessinis, M., et al. (2026) · Santé mentale au Québec · doi:10.7202/1126808ar
Excitation-inhibition balance dynamics across brain networks during naturalistic behaviorPreprint
Branigan, N. K., Nghiem, T.-A. E., Chao, T.-H. H., Varghese, A., Kumar, A., Linderman, S. W., Shih, Y. I., & Menon, V. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.22.746465
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
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