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 201–300 of 331
Dynamic patterns within the default mode network in schizophrenia subgroups
Sendi, M. S. E., Zendehrouh, E., Turner, J. A., & Calhoun, V. D. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9629825 · Cited by 6
Graph-aware modeling of brain connectivity networks
Kim, Y., Kessler, D., & Levina, E. (2023) · The Annals of Applied Statistics · doi:10.1214/22-aoas1709 · Cited by 7
Imperatori, C., Rossi, E. D., Allegrini, G., Carbone, G. A., Benvenuti, S. M., Adenzato, M., Dell’Acqua, C., Presti, A. L., Ardito, R. B., & Farina, B. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120535 · Cited by 5
Time‐Varying Spatial Propagation of Brain Networks in fMRI Data
Bostami, B., Lewis, N., Agcaoglu, O., Turner, J. A., van Erp, T. G. M., Ford, J. M., Fouladivanda, M., Calhoun, V. D., & Iraji, A. (2025) · Human Brain Mapping · doi:10.1002/hbm.70131 · Cited by 6
Hwang, H., Kim, S. M., Kim, H. J., & Han, D. H. (2025) · Psychiatry Research · doi:10.1016/j.psychres.2025.116376 · Cited by 5
Longitudinal alterations of modular functional-metabolic coupling in first-episode schizophrenia
Zhang, S., Li, W., Xiang, Q., Kuai, X., Zhuo, K., Wang, J., Xu, Y., Li, Y., & Liu, D. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.10.067 · Cited by 5
Huang, H., Cheng Ann, C. H. E. N., Rong, B., Zhou, Y., Yuan, W., Peng, Y., Liu, Z., Wang, G., & Wang, H. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00863-0 · Cited by 5
Wang, X., Guo, Y., Xu, J., Xiao, Y., & Fu, Y. (2024) · International Journal of Developmental Neuroscience · doi:10.1002/jdn.10349 · Cited by 5
Najar, D., Dichev, J., & Stoyanov, D. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13154363 · Cited by 5
Fuchshuber, J., Koschutnig, K., Fink, A., Alexopoulos, J., Löffler‐Stastka, H., & Unterrainer, H. (2025) · PLoS ONE · doi:10.1371/journal.pone.0318505 · Cited by 5
Social Functioning and Schizophrenia
Hooley, J. M., & DeCross, S. N. (2023) · Oxford University Press eBooks · doi:10.1093/med-psych/9780197542521.003.0015 · Cited by 5
Mapping the landscape of fMRI research in schizophrenia: A bibliometric and meta-analytic study
Xie, Y., Ouyang, A., Zhang, T., Ma, C., Guan, M., Li, C., Wang, L., Lin, X., Li, Y., & Fang, P. (2025) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2025.104768 · Cited by 4
Anatomically compliant modes of variations: New tools for brain connectivity
Clementi, L., Arnone, E., Santambrogio, M. D., Franceschetti, S., Panzica, F., & Sangalli, L. M. (2023) · PLoS ONE · doi:10.1371/journal.pone.0292450 · Cited by 4
Zhang, W., Wang, L., Wu, X., Li, Y., Zhang, Y., Yin, H. J., Zhang, L., Lui, S., & Gong, Q. (2024) · Neuropsychopharmacology · doi:10.1038/s41386-024-02021-y · Cited by 4
Zaykova, V., Kandilarova, S., Paunova, R., Popova, F., & Stoyanov, D. (2025) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2025.1650178 · Cited by 4
Doucet, G. E., Kruse, J. A., Eden, N. M., Goffman, L., & McGregor, K. K. (2025) · Brain and Language · doi:10.1016/j.bandl.2025.105637 · Cited by 4
Channel Graph Neural Network Revealing Multimodal Brain Connectivity Abnormalities in Schizophrenia
Gong, J., Ma, R., Rodríguez‐Labrada, R., Zhu, Y., Lin, H., Zhou, Y., Wang, Y., Gao, D., Yao, D., Jiang, S., et al. (2025) · International Journal of Neural Systems · doi:10.1142/s0129065726500073 · Cited by 4
Kang, Y., Zhang, Y., Huang, K., & Wang, Z. (2022) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2022.111583 · Cited by 4
Salgado‐Pineda, P., Ferrer, M., Calvo, N., Costa, X., Ribas, N., Lara, B., Tarragona, B., Fuentes‐Claramonte, P., Salvador, R. M., & Pomarol‐Clotet, E. (2023) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2023.03.012 · Cited by 4
Guha, A., Popov, T. G., Bartholomew, M. E., Reed, A. C., Diehl, C., Subotnik, K. L., Ventura, J., Nuechterlein, K. H., Miller, G. A., & Yee, C. M. (2024) · Psychophysiology · doi:10.1111/psyp.14627 · Cited by 4
Ye, W., Tao, Y., Wang, W., Yu, Y., & Li, X. (2024) · Journal of Periodontology · doi:10.1002/jper.24-0264 · Cited by 4
Um, Y. H., Wang, S., Kim, N.-Y., Kang, D. W., Na, H.-R., Lee, C. U., & Lim, H. K. (2020) · Psychiatry Investigation · doi:10.30773/pi.2020.0214 · Cited by 4
Altered neural networks and cognition in a hereditary colon cancer
Cali, R. J., Nephew, B. C., Moore, C. M., Chumachenko, S. Y., Sala, A. C., Cintrón, B., Luciano, C. A., King, J. A., Hooper, S. R., Giardiello, F. M., et al. (2021) · IBRO Neuroscience Reports · doi:10.1016/j.ibneur.2021.09.007 · Cited by 4
Luna, L., Sousa, M. B., Passinho, J. S., Nardi, A. E., Oertel, V., Veras, A. B., & Alves, G. S. (2023) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2023.111628 · Cited by 5
Mutual information of multiple rhythms in schizophrenia
Ibáñez-Molina, A. J., Crespo, Y., Soriano, M. F., Iglesias‐Parro, S., & de Miras, J. R. (2023) · Brain Structure and Function · doi:10.1007/s00429-023-02744-6 · Cited by 4
Dudek, E., & Dodell‐Feder, D. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/ensr9 · Cited by 5
Saxena, A., Liu, S., Handley, E. D., & Dodell‐Feder, D. (2024) · Schizophrenia Research · doi:10.1016/j.schres.2024.01.019 · Cited by 3
Song, J., Carmona-Torres, E., Kambari, Y., Chavez, S., Ueno, F., Koizum, T., Amaev, A., Abdolizadeh, A., Luca, V. D., Blumberger, D. M., et al. (2025) · Schizophrenia · doi:10.1038/s41537-024-00536-3 · Cited by 7
Lee, J.-W., Kim, Y.-E., Votinov, M., Xu, M., Kim, S.-Y., Lee, M., Wagels, L., Habel, U., & Jo, H.-G. (2025) · Depression and Anxiety · doi:10.1155/da/9062022 · Cited by 3
Merritt, K., Palmer, E. R., Laguna, P. A. L., Sethi, A., Rogers, J. C., Evans, C. J., Reichenberg, A., Khandaker, G. M., Upthegrove, R., Lewis, G., et al. (2026) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2025.106247 · Cited by 3
Zhi, S., Zhao, W., Huang, Y., Li, Y., Wang, X., Li, J., Liu, S., & Xu, Y. J. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00869-8 · Cited by 3
Default Mode Network, Disorganization, and Treatment-Resistant Schizophrenia
Huang, H., Qin, X., Xu, R., Xiong, Y., Hao, K., Cheng Ann, C. H. E. N., Wan, Q., Liu, H., Yuan, W., Peng, Y., et al. (2025) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaf018 · Cited by 3
Collin, G., Goldenberg, J. E., Chang, X., Qi, Z., Whitfield, S., Cahn, W., Wang, J., Stone, W. S., Keshavan, M. S., & Shenton, M. E. (2025) · Brain Sciences · doi:10.3390/brainsci15030314 · Cited by 3
Acevedo, B. P., Marhenke, R., Kosik, K. S., Zarinafsar, S., & Santander, T. (2021) · Aging and Health Research · doi:10.1016/j.ahr.2021.100018 · Cited by 4
Guardiola-Ripoll, M., Sotero-Moreno, A., Almodóvar-Payá, C., Hostalet, N., Guerrero‐Pedraza, A., Ramiro, N., Ortiz‐Gil, J., Arias, B., Madre, M., Soler‐Vidal, J., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-10660-8 · Cited by 3
New insights of the role of the KCNH2 gene in schizophrenia: An fMRI case-control study
Guardiola-Ripoll, M., Almodóvar-Payá, C., Lubeiro, A., Salvador, R. M., Salgado‐Pineda, P., Gomar, J. J., Guerrero‐Pedraza, A., Sarró, S., Maristany, T., Fernández‐Linsenbarth, I., et al. (2022) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2022.04.012 · Cited by 3
Malva, P. L., Crosta, A. D., Prete, G., Ceccato, I., Gatti, M., D’Intino, E., Tommasi, L., Mammarella, N., Palumbo, R., & Domenico, A. D. (2024) · Scientific Reports · doi:10.1038/s41598-024-58702-7 · Cited by 6
Dysfunctional activation of the default mode network in response inhibition in schizophrenia
KRAKOWSKI, M. I., Hoptman, M. J., & Czobor, P. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.11.020 · Cited by 4
Cognitive Implications of Correlated Structural Network Changes in Schizophrenia
Jensen, D., Zendrehrouh, E., Calhoun, V. D., & Turner, J. A. (2022) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2021.755069 · Cited by 3
Functional MRI Findings in Schizophrenia
Pearlson, G. D. (2020) · Springer eBooks · doi:10.1007/978-3-030-35206-6_6 · Cited by 3
Heterogenous Patterns of Brain Atrophy in Schizophrenia Localize to A Common Brain NetworkPreprint
Makhlouf, A. T., Drew, W., Stubbs, J. L., Taylor, J. J., Liloia, D., Grafman, J. H., Silbersweig, D., Fox, M., & Siddiqi, S. (2023) · Research Square · doi:10.21203/rs.3.rs-3470220/v1 · Cited by 3
Zhang, J., Bauer, C. C. C., Morfini, F., Lee, Y. J., Stone, L., Awad, A., Okano, K., Hwang, M., Shinn, A. K., Niznikiewicz, M. A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.02.631107 · Cited by 3
Maksymchuk, N., Miller, R. L., Bustillo, J., Ford, J. M., Mathalon, D. H., Preda, A., Pearlson, G. D., & Calhoun, V. D. (2025) · Human Brain Mapping · doi:10.1002/hbm.70134 · Cited by 2
Velioğlu, H. A., Moehringer, J., Lencz, T., Gallego, J. A., Cholewa, J., Kats, Y., Barber, A. D., Birnbaum, M. L., Robinson, D. G., Cao, H., et al. (2025) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaf021 · Cited by 3
Mlynek, E., Tan, X., Lammertz, S. E., Schaffrath, S., Gründer, G., Schneider, F. W., Frodl, T., Mathiak, K., & Gaebler, A. J. (2025) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaf048 · Cited by 5
Li, L., Wang, W., Li, W., Chen, Y., Mao, Y., Li, Y., & Qiu, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-08958-4 · Cited by 2
Xia, J., Chan, Y. H., Girish, D., Chew, Q. H., Sim, K., & Rajapakse, J. C. (2025) · Communications Biology · doi:10.1038/s42003-025-08637-0 · Cited by 2
From lobotomy to connectomics: a critical review of contemporary psychosurgery
González, V., Rumià, J., Brell, M., Roset, C., de Miguel, J., Arboleya, S., Aguirre, I., Alegre, D., Goliney, V. G., & Ibáñez, J. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1785333 · Cited by 3
Plasma vitamin C levels are associated with brain structural networks on MRI: A large cohort study
Nagaya, H., Watanabe, K., Shintaku, T., Sasaki, M., Kudo, J., Kasai, S., Ishimoto, Y., Saito, K., Matsuhashi, S., Koshiishi, T., et al. (2026) · PLoS ONE · doi:10.1371/journal.pone.0348504 · Cited by 2
Reduced Dynamic Interactions Within Intrinsic Functional Brain Networks in Early Blind Patients
Li, X., Wang, A., Xu, J., Sun, Z., Xia, J., Wang, P., Wang, B., Zhang, M., & Tian, J. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00268 · Cited by 2
Lang, X., Wang, D., Zhou, H., Wang, L., Kosten, T. R., & Zhang, X. (2022) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2022.103421 · Cited by 2
Ebina, D., Nobukawa, S., Ikeda, T., Kikuchi, M., & Takahashi, T. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-30108-7_3 · Cited by 2
Vecchio, D., Piras, F., Ciullo, V., Piras, F., Natalizi, F., Ducci, G., Ambrogi, S., Spalletta, G., & Banaj, N. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13050799 · Cited by 3
Das, M., Saxena, A., Samantaray, S., Kumar, S., Justin Raj, P. C., & Goyal, N. (2023) · Journal of Ect · doi:10.1097/yct.0000000000000958 · Cited by 2
Meier, E. L., Sheppard, S. M., Sebastian, R., Berube, S. K., Goldberg, E. B., Shea, J., Stein, C. M., & Hillis, A. E. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1288801 · Cited by 2
Lehmann, I., Hasija, T., Gabrielson, B., Akhonda, M. A. B. S., Calhoun, V. D., & Adalı, T. (2024) · IEEE Access · doi:10.1109/access.2024.3435526 · Cited by 2
Aesthetic processing in neurodiverse populations
Buck, Z., Michalchyshyn, E., Nishat, A., Lisi, M., Huang, Y., Liu, H., Makarenka, A., Plyngam, C. P., Windle, A., Yang, Z., et al. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105878 · Cited by 3
The Relationship of glutamate signaling to cannabis use and schizophrenia
Niznikiewicz, M. A., Lin, A. P., & DeLisi, L. E. (2025) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000001003 · Cited by 3
Hu, X., Long, X., Wu, J., Liu, N., Huang, N., Liu, F., Qi, A., Chen, Q., & Lu, Z. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.03.059 · Cited by 3
Hwang, J., Kang, J.-E., Jeon, S., Lee, K. H., Kim, J.-W., & Lee, J. (2025) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2025.04.005 · Cited by 2
Default Brain System in Schizophrenia
Vartanov, A. V., Дмитриевна, К. М., Leonovich, D., Шевалдова, О. В., Mirova, S., Zeltser, A., Zakurazhnaia, V., Ochneva, A., Andreyuk, D., & Kostyuk, G. (2025) · Optical Memory and Neural Networks · doi:10.3103/s1060992x25700067 · Cited by 2
Yoon, H., Seo, E. H., & Gon, K. S. (2018) · Anxiety and Mood · doi:10.24986/anxmod.2018.14.2.002 · Cited by 2
Divergent default mode network connectivity during social perception in 22q11.2 deletion syndrome
Dubourg, L., Vrtička, P., Pouillard, V., Eliez, S., & Schneider, M. (2019) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2019.07.004 · Cited by 2
Deep Brain Stimulation for Treatment-Resistant Schizophrenia: A Systematic Review
Saadon, J. R., Wang, C., Razzaq, B., Kuhia, R., Cleri, N. A., Egnor, M. R., Mofakham, S., & Mikell, C. B. (2022) · Journal of Schizophrenia Research · doi:10.26420/jschizophrres.2022.1043 · Cited by 2
Brain rhythms, neural synchrony, and networks in health and disease
Eggermont, J. J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819818-6.00009-1 · Cited by 2
Zhao, B., Li, T., Li, Y., Fan, Z., Xiong, D., Wang, X., Gao, M., Smith, S. M., & Hongtu Zhu, B. (2022) · medRxiv · doi:10.1101/2022.02.22.22271371 · Cited by 2
Default mode network anti-correlation as a transdiagnostic biomarker of cognitive functionPreprint
Tripathi, V., Batta, I., Zamani, A., Atad, D. A., Sheth, S., Zhang, J., Wager, T. D., Whitfield, S., Uddin, L. Q., Prakash, R. S., et al. (2024) · doi:10.31234/osf.io/uhs3c · Cited by 2
CYFIP1 governs the development of cortical axons by modulating calcium availability
Ricci, C., Midroit, M. J., Caicci, F., Achsel, T., Domínguez-Iturza, N., & Bagni, C. (2025) · Nature Communications · doi:10.1038/s41467-025-65801-0 · Cited by 1
“Finally, a wealth of evi-dencelinksabnormalitiesinthecorpuscallosumandinterhemispheric connectivity (driven by callosal projection neurons) to many neuro-developmental disorders, among them ASD and SCZ 2,3,111,112 .”
Lute, N., Lemmers-Jansen, I. L. J., Krabbendam, L., & van Buuren, M. (2025) · Neuroimage Reports · doi:10.1016/j.ynirp.2025.100248 · Cited by 1
Zhang, G., Cui, Y., Guo, S., Xiong, Y., Wang, F., Yao, D., & Guo, D. (2025) · Nonlinear Dynamics · doi:10.1007/s11071-025-11174-4 · Cited by 1
Nakagawa, S., Takeuchi, H., Taki, Y., Yokoyama, R., Sakaki, K., Kawata, K. H. D. S., Nozawa, T., Yokota, S., Araki, T., Nouchi, R., et al. (2025) · Brain and Behavior · doi:10.1002/brb3.70449 · Cited by 1
The Neural Correlates of Delusions in Dementia: A Scoping Review
Gagnon, A., Manns, B., Atanasiu, K., Lumley, D., Chakravarty, M. M., Gauthier, S. G., & Gold, I. (2025) · Psychogeriatrics · doi:10.1111/psyg.70060 · Cited by 1
Chen, H., Li, J., Jia, X., Wang, X., Qiao, R., Yao, G., & Zhong, J. (2025) · Psychiatry Research · doi:10.1016/j.psychres.2025.116868 · Cited by 1
Ierusalimsky, N. V., Karimova, E. D., Samotaeva, I., Лузин, Р. В., Зинчук, М. С., Rieder, F. K., & Guekht, A. B. (2026) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-026-01968-3 · Cited by 1
Sabé, M., Grof, P., Sackett, N. B., Tai, S., Kryskow, P., Bershad, A. K., Turkington, D., Buonarroti, M., Pieri, M. D., Baniotopoulos, P., et al. (2026) · Schizophrenia Research · doi:10.1016/j.schres.2026.03.003 · Cited by 1
An Analytical Psychology Conceptualisation of Psychosis in Modern Psychiatry
Howe, A. J., & Demjaha, A. (2022) · International Journal of Jungian Studies · doi:10.1163/19409060-bja10027 · Cited by 2
Amico, F., Keane, M. P., & McCarthy‐Jones, S. (2022) · NeuroRegulation · doi:10.15540/nr.9.4.174 · Cited by 1
Kolomeets, N. S., & Uranova, N. A. (2023) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-023-01509-2 · Cited by 1
Quantifying brain-functional dynamics using deep dynamical systems: Technical considerations
Chen, J., Benedyk, A., Moldavski, A., Tost, H., Meyer‐Lindenberg, A., Braun, U., Durstewitz, D., Koppe, G., & Schwarz, E. (2024) · iScience · doi:10.1016/j.isci.2024.110545 · Cited by 1
Brain Mapping Using Neuroimaging
Tae, W., Kang, S.-H., Ham, B., Kim, B., & Pyun, S. (2016) · Han-guk hyeonmigyeong hakoeji/Applied microscopy · doi:10.9729/am.2016.46.4.179 · Cited by 1
Miyazaki, K., Hanaoka, K., Kaida, H., Chiba, Y., & Ishii, K. (2020) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000508338 · Cited by 1
Li, P., Huang, Q., Ban, S., Qiao, Y., Wu, J., Zhai, Y., Du, X., Hua, F., & Su, J. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.735033 · Cited by 1
Using in silico perturbational approach to identify critical areas in schizophreniaPreprint
Mana, L., Vila‐Vidal, M., Köckeritz, C., Aquino, K. M., Fornito, A., Kringelbach, M. L., & Deco, G. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.15.520260 · Cited by 1
Inferring health conditions from fMRI-graph dataPreprint
Mana, P. P., Bachmann, C., & Morrison, A. (2018) · doi:10.31219/osf.io/r2huz
Research Perspectives for Neuroimaging of Schizophrenia Spectrum Disorders
Scutt, E., Borgwardt, S., & Fusar‐Poli, P. (2019) · Springer eBooks · doi:10.1007/978-3-319-97307-4_8
Conectividade estrutural e rede de modo padrão em surdos profundos
Ducas, K. D. (2018) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.17.2018.tde-18072018-171206
Panikratova, Y. R., Лебедева, И. С., Николаевич, П. А., Popovich, U. O., Kananovich, P. S., Klochkova, I. V., Rumshiskaya, A. D., & Каледа, В. Г. (2019) · Human Physiology · doi:10.1134/s0362119719050116
No metabolic “default mode” of human brain functionPreprint
Jonasson, L. S., Grill, F., Hahn, A., Rischka, L., Lanzenberger, R. R., Lundmark, V. P., Riklund, K., Axelsson, J., & Rieckmann, A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.17.245183
Altered Resting State Brain Networks and Cognition in Familial Adenomatous PolyposisPreprint
Cali, R. J., Nephew, B. C., Moore, C. M., Chumachenko, S. Y., Sala, A. C., Cintrón, B., Luciano, C. A., King, J. A., Hooper, S. R., Giardiello, F. M., et al. (2020) · medRxiv · doi:10.1101/2020.11.02.20224477
Schizophrenia and Alzheimer’s disease
Eggermont, J. J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819818-6.00006-6
Inferring health conditions from fMRI-graph dataPreprint
Mana, P. P., Bachmann, C., & Morrison, A. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/295113
Zhi, S., Zhao, W., Liu, S., Li, Y., Wang, X., Li, J., & Xu, Y. J. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4008862
Tinnitus and the nonauditory brain
Eggermont, J. J. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-91912-8.00007-4
Wen, X., Wang, Y., Cui, Z., Zhang, X., & Chen, R. (2022) · medRxiv · doi:10.1101/2022.07.28.22278177
A comprehensive study on the cognitive mechanisms and neural substrates of hallucination proneness
Johnson, J. F. (2022) · Research Publications (Maastricht University) · doi:10.26481/dis.20221101jj
Neural impact of Skill and Goal-based Training in Adults with Dyslexia: A Randomized TrialPreprint
Cheema, K., Hunyh, T., Hodgetts, W. E., & Cummine, J. (2023) · Research Square · doi:10.21203/rs.3.rs-2531116/v1
Diffuse and Localized Functional Dysconnectivity in Schizophrenia: a Bootstrapped Top-Down Approach
Coluzzi, D., & Baselli, G. (2023) · Fundamenta Informaticae · doi:10.46298/.11275 · Cited by 1
Brain networks involved in deviance and novelty detection: Are they sensory modality specific?
Eggermont, J. J. (2023) · Elsevier eBooks · doi:10.1016/b978-0-443-15548-2.00010-7
The Aesthetic Experience of Dance in People Living with Psychotic Illness
Pracana, C., & Wang, M. (2024) · doi:10.36315/2024padix07
Oh, K., Oh, I.-S., Tsogt, U., Shen, J., Kim, W., Liu, C., Kang, N., Lee, K., Jing Sui (Beijing Normal University), my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Kim, S., et al. (2022) · Figshare · doi:10.6084/m9.figshare.18585883
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