Cited by 1,435Schizophrenia research and treatmentFunctional Brain Connectivity StudiesMental Health and Psychiatry

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Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia

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Whitfield-Gabrieli, Susan, Thermenos, Heidi W., Milanovic, Snezana, Tsuang, Ming T., Faraone, Stephen V., McCarley, Robert W., Shenton, Martha E., Green, Alan I., Nieto-Castanon, Alfonso, LaViolette, Peter, Wojcik, Joanne, Gabrieli, John D. E., Seidman, Larry J.·2009·Proceedings of the National Academy of Sciences

DOI 10.1073/pnas.0809141106PMC PMC2633557

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Abstract

We examined the status of the neural network mediating the default mode of brain function, which typically exhibits greater activation during rest than during task, in patients in the early phase of schizophrenia and in young first-degree relatives of persons with schizophrenia. During functional MRI, patients, relatives, and controls alternated between rest and performance of working memory (WM) tasks. As expected, controls exhibited task-related suppression of activation in the default network, including medial prefrontal cortex (MPFC) and posterior cingulate cortex/precuneus. Patients and relatives exhibited significantly reduced task-related suppression in MPFC, and these reductions remained after controlling for performance. Increased task-related MPFC suppression correlated with better WM performance in patients and relatives and with less psychopathology in all 3 groups. For WM task performance, patients and relatives had greater activation in right dorsolateral prefrontal cortex (DLPFC) than controls. During rest and task, patients and relatives exhibited abnormally high functional connectivity within the default network. The magnitudes of default network connectivity during rest and task correlated with psychopathology in the patients. Further, during both rest and task, patients exhibited reduced anticorrelations between MPFC and DLPFC, a region that was hyperactivated by patients and relatives during WM performance. Among patients, the magnitude of MPFC task suppression negatively correlated with default connectivity, suggesting an association between the hyperactivation and hyperconnectivity in schizophrenia. Hyperactivation (reduced task-related suppression) of default regions and hyperconnectivity of the default network may contribute to disturbances of thought in schizophrenia and risk for the illness.

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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
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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
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Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
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Maldjian, J. A., Laurienti, P. J., Kraft, R., & Burdette, J. H. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00169-1 · Cited by 5,066
Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function
Gusnard, D. A., Akbudak, E., Shulman, G. L., & Raichle, M. E. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.071043098 · Cited by 2,997
Neurocognitive deficit in schizophrenia: A quantitative review of the evidence.
Heinrichs, R. W., & Zakzanis, K. K. (1998) · Neuropsychology · doi:10.1037/0894-4105.12.3.426 · Cited by 2,798
Wandering minds: the default network and stimulus-independent thought
Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007) · Science · doi:10.1126/science.1131295 · Cited by 2,792
The neuropathology of schizophrenia
Harrison, P. J. (1999) · Brain · doi:10.1093/brain/122.4.593 · Cited by 1,677
Finding the self? An event-related fMRI study
Kelley, W. M., Macrae, C. N., Wyland, C. L., Caglar, S., Inati, S., & Heatherton, T. F. (2002) · Journal of Cognitive Neuroscience · doi:10.1162/08989290260138672 · Cited by 1,606 · cited 2×
“This network, especially the midline regions of the MPFC and PCC, overlaps with brain regions activated during self-referential cognitive or emotional tasks (11, 12).”
BackgroundMethod
The neural bases of momentary lapses in attention
Weissman, D. H., Roberts, K. C., Visscher, K. M., & Woldorff, M. G. (2006) · Nature Neuroscience · doi:10.1038/nn1727 · Cited by 1,566

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LR Derogatis Symptom Checklist-90-Revised (SCL-90-R): Administration, Scoring and Procedures Manual (Clinical Psychometric Research, Towson, MD, 1983).

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Mentalizing in male schizophrenia patients is compromised by virtue of dysfunctional connectivity between task-positive and task-negative networks
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Pearlson, G. D. (2009) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.037.2009 · Cited by 35
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Gass, N., Schwarz, A. J., Sartorius, A., Cleppien, D., Zheng, L., Schenker, E., Risterucci, C., Meyer‐Lindenberg, A., & Weber‐Fahr, W. (2012) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2012.10.013 · Cited by 35
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Ma, X., Zheng, W., Li, C., Li, Z., Tang, J., Yuan, L., Ouyang, L., Jin, K., He, Y., & Chen, X. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2019.112603 · Cited by 34
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Tomiyama, H., Murayama, K., Nemoto, K., Hasuzawa, S., Mizobe, T., Kato, K., Matsuo, A., Ohno, A., Kang, M., Togao, O., et al. (2022) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2022.110516 · Cited by 29
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Krajcovic, B., Fajnerova, I., Horacek, J., Kelemen, E., Kubik, S., Svoboda, J., & Stuchlik, A. (2019) · Acta Physiologica · doi:10.1111/apha.13282 · Cited by 29
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Self-citation
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Kim, D., & Lee, J. (2011) · Neuroscience Letters · doi:10.1016/j.neulet.2011.04.062 · Cited by 29
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Authors: Whitfield-Gabrieli, S., Thermenos, H. W., Milanovic, S., Tsuang, M. T., Faraone, S. V., McCarley, R. W., Shenton, M. E., Green, A. I., Nieto-Castanon, A., LaViolette, P., Wojcik, J., Gabrieli, J. D. E., & Seidman, L. J.
Affiliations: Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Division of Health Sciences and Technology, Harvard-Massachusetts Institute of Technology, and Poitras Center for Affective Disorders Research, Cambridge, MA 02139;
Beth Israel Deaconess Medical Center (US)
Harvard University (US)
SUNY Upstate Medical University (US)
Brigham and Women's Hospital (US)
Dartmouth College (US)
Harvard–MIT Division of Health Sciences and Technology (US)
ORCID: Milanovic, Snezana
Tsuang, Ming T.
Faraone, Stephen V.
McCarley, Robert W.
Shenton, Martha E.
Green, Alan I.
LaViolette, Peter
Gabrieli, John D. E.
Seidman, Larry J.
Venue: Proceedings of the National Academy of Sciences
Publisher: National Academy of Sciences
Published: 2009-01-27
Volume: 106
Issue: 4
Pages: 1279-1284
ISSN: 0027-8424 (ISSN-L)
1091-6490
DOI: 10.1073/pnas.0809141106
PMC: PMC2633557
OpenAlex: W2115687188
Cited by: 1,435
References: 40
Citations by year: 2026: 31 · 2025: 65 · 2024: 42 · 2023: 60 · 2022: 76 · 2021: 84 · 2020: 68 · 2019: 90 · 2018: 84 · 2017: 93 · 2016: 114 · 2015: 124 · 2014: 109 · 2013: 121 · 2012: 94
FWCI: 55.49
Type: journal article
Language: en
Update notices: correction (2009-03-17)
Open access: green
www.ncbi.nlm.nih.gov
Locations: Proceedings of the National Academy of Sciences (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
Funders: National Institute of Mental Health (MH 65562, MH62157, MH-50740, R37MH043518, R25 MH60485, MH- 43518, MH40799, R01MH043518, R25MH060485, R01MH050740, R21MH062157, R01MH040799, R01MH063951, R01MH065562, MH-63951)
National Center for Research Resources (P41-RR-14075, P41RR014075)
Topics: Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
Keywords: schizophrenia, default mode network, hyperconnectivity, hyperactivation, medial prefrontal cortex, dorsolateral prefrontal cortex, working memory, functional connectivity, psychopathology, resting-state brain activity
MeSH terms: Brain Mapping, Family, Humans, Memory, Nerve Net, Rest, Schizophrenia, Schizophrenic Psychology, Task Performance and Analysis

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Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia

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