The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia
Open accessAbstract
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“the same brain networks are found to be hyperactive in people with schizophrenia (Whitfield-Gabrieli et al., 2009).”
From Schizotypy and mindfulness: Magical thinking without suspiciousness characterizes mindfulness meditators (2016) · cites this paper as Whitfield-Gabrieli et al., 2009
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
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
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
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
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).”
BackgroundMethodThe 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
Flagged first, then by citations
Research works printed but not linked: 1
- LR Derogatis Symptom Checklist-90-Revised (SCL-90-R): Administration, Scoring and Procedures Manual (Clinical Psychometric Research, Towson, MD, 1983).
Cited by
Sorted by citations
Items 301–400 of 1,001
Unschuld, P. G., Buchholz, A. S., Varvaris, M., van Zijl, P. C. M., Ross, C. A., Pekar, J. J., Hock, C., Sweeney, J. A., Tamminga, C. A., Keshavan, M. S., et al. (2013) · Schizophrenia Bulletin · doi:10.1093/schbul/sbt077 · Cited by 83
Hippocampal–prefrontal connectivity as a translational phenotype for schizophrenia
Bähner, F., & Meyer‐Lindenberg, A. (2017) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2016.12.007 · Cited by 84
Sex differences and menstrual cycle effects in cognitive and sensory resting state networks
Weis, S., Hodgetts, S., & Hausmann, M. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2017.09.003 · Cited by 82
Physiological consequences of abnormal connectivity in a developmental epilepsy
Shafi, M. M., Vernet, M., Klooster, D., Chu, C. J., Boric, K., Barnard, M. E., Romatoski, K. S., Westover, M. B., Christodoulou, J. A., Gabrieli, J. D. E., et al. (2015) · Annals of Neurology · doi:10.1002/ana.24343 · Cited by 80
Self-citationDevelopment of deactivation of the default-mode network during episodic memory formation
Chai, X. J., Ofen, N., Gabrieli, J. D. E., & Whitfield, S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.032 · Cited by 85
Self-citationFryer, S. L., Woods, S. W., Kiehl, K. A., Calhoun, V. D., Pearlson, G. D., Roach, B. J., Ford, J. M., Srihari, V. H., McGlashan, T. H., & Mathalon, D. H. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00092 · Cited by 85
Neurocognitive networks: Findings, models, and theory
Meehan, T. P., & Bressler, S. L. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.08.002 · Cited by 84
van Buuren, M., Vink, M., & Kahn, R. S. (2012) · Schizophrenia Research · doi:10.1016/j.schres.2012.09.017 · Cited by 81
Cerebral Blood Flow during Rest Associates with General Intelligence and Creativity
Takeuchi, H., Taki, Y., Hashizume, H., Sassa, Y., Nagase, T., Nouchi, R., & Kawashima, R. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025532 · Cited by 77
Yan, H., Tian, L., Yan, J., Sun, W., Liu, Q., Zhang, Y.-B., Li, X.-M., Zang, Y., & Zhang, D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045659 · Cited by 88
Li, F. Y., Lui, S., Li, Y., Hu, J., Lv, P., Huang, X., Mechelli, A., Sweeney, J. A., & Gong, Q. (2016) · Radiology · doi:10.1148/radiol.2015151334 · Cited by 79
A Review of Anticipatory Pleasure in Schizophrenia
Frost, K. H., & Strauss, G. P. (2016) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-016-0082-5 · Cited by 87
Altered Intrinsic Functional Brain Architecture in Children at Familial Risk of Major Depression
Chai, X. J., Hirshfeld-Becker, D., Biederman, J., Uchida, M., Doehrmann, O., Leonard, J. A., Salvatore, J., Kenworthy, T., Brown, A., Kagan, E., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.12.003 · Cited by 75
Self-citationAnticevic, A., Cole, M. W., Repovš, G., Savić, A., Driesen, N. R., Yang, G., Cho, Y., Murray, J. D., Glahn, D. C., Wang, X., et al. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00169 · Cited by 80
Zhou, L. Q., Pu, W., Wang, J., Liu, H., Wu, G., Liu, C., Mwansisya, T. E., Tao, H., Chen, X., Huang, X., et al. (2016) · Scientific Reports · doi:10.1038/srep21657 · Cited by 83
Silverstein, S. M., & Lai, A. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.684720 · Cited by 94
Brent, B. K., Seidman, L. J., Thermenos, H. W., Holt, D. J., & Keshavan, M. S. (2013) · Schizophrenia Research · doi:10.1016/j.schres.2013.07.038 · Cited by 81
Self-citationWang, L., Zou, F., Shao, Y., Ye, E., Jin, X., Shuwen, T., Hu, D., & Zheng, Y. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.09.034 · Cited by 79
Shao, J., Meng, C., Tahmasian, M., Brandl, F., Yang, Q., Luo, G., Luo, C., Yao, D., Gao, L., Riedl, V., et al. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9838-8 · Cited by 77
Satterthwaite, T. D., & Baker, J. T. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.10.005 · Cited by 80
Convergent and Divergent Functional Connectivity Patterns in Schizophrenia and Depression
Yu, Y., Shen, H., Zeng, L., Ma, Q., & Hu, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068250 · Cited by 76
Keshavan, M. S., Mehta, U. M., Padmanabhan, J. L., & Shah, J. L. (2015) · Development and Psychopathology · doi:10.1017/s095457941500019x · Cited by 79
Is a Responsive Default Mode Network Required for Successful Working Memory Task Performance?
Čeko, M., Gracely, J. L., Fitzcharles, M., Seminowicz, D. A., Schweinhardt, P., & Bushnell, M. C. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0264-15.2015 · Cited by 75
Bossong, M. G., Jager, G., Bhattacharyya, S., & Allen, P. (2014) · Current Pharmaceutical Design · doi:10.2174/13816128113199990436 · Cited by 75
The Cellular Building Blocks of Breathing
Ramirez, J., Doi, A., Garcia, A. J., Elsen, F. P., Koch, H., & Wei, A. D. (2012) · Comprehensive physiology · doi:10.1002/cphy.c110033 · Cited by 82
Kikuchi, M., Hashimoto, T., Nagasawa, T., Hirosawa, T., Minabe, Y., Yoshimura, M., Strik, W., Dierks, T., & Koenig, T. (2011) · Schizophrenia Research · doi:10.1016/j.schres.2011.06.003 · Cited by 74
Sendi, M. S. E., Zendehrouh, E., Ellis, C. A., Liang, Z., Fu, Z., Mathalon, D. H., Ford, J. M., Preda, A., van Erp, T. G. M., Miller, R. L., et al. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.649417 · Cited by 74
Beyond the dopamine receptor: novel therapeutic targets for treating schizophrenia
Coyle, J. T., Balu, D. T., Benneyworth, M. A., Basu, A. C., & Roseman, A. S. (2010) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2010.12.3/jcoyle · Cited by 75
Default Mode Network in the Effects of Δ9-Tetrahydrocannabinol (THC) on Human Executive Function
Bossong, M. G., Jansma, J. M., van Hell, H. H., Jager, G., Kahn, R. S., & Ramsey, N. F. (2013) · PLoS ONE · doi:10.1371/journal.pone.0070074 · Cited by 75
Resting-state network connectivity and metastability predict clinical symptoms in schizophrenia
Lee, W. H., Doucet, G. E., Leibu, E., & Frangou, S. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.04.029 · Cited by 74
Triple Network Model Dynamically Revisited: Lower Salience Network State Switching in Pre-psychosis
Bolton, T. A. W., Wotruba, D., Buechler, R., Theodoridou, A., Michels, L., Kollias, S., Wulf Rössler, A., Heekeren, K., & Ville, D. V. D. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00066 · Cited by 76
Hinds, O., Thompson, T. W., Ghosh, S., Yoo, J. J., Whitfield, S., Triantafyllou, C., & Gabrieli, J. D. E. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00533.2011 · Cited by 74
Self-citationBarron, A., McCarthy, C., & O’Keeffe, G. W. (2021) · Molecular Neurobiology · doi:10.1007/s12035-021-02290-4 · Cited by 73
Zink, N., Lenartowicz, A., & Markett, S. A. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.02.011 · Cited by 87
Abnormal structural and functional brain connectivity in gray matter heterotopia
Christodoulou, J. A., Walker, L. M., Tufo, S. N. D., Katzir, T., Gabrieli, J. D. E., Whitfield, S., & Chang, B. S. (2012) · Epilepsia · doi:10.1111/j.1528-1167.2012.03466.x · Cited by 73
Self-citationBhaumik, R., Jenkins, L. M., Gowins, J. R., Jacobs, R. H., Barba, A., Bhaumik, D. K., & Langenecker, S. A. (2017) · NeuroImage: Clinical · doi:10.1016/j.nicl.2016.02.018 · Cited by 72
Self-reflection and the psychosis-prone brain: An fMRI study.
Modinos, G., Renken, R. J., Ormel, J., & Aleman, A. (2011) · Neuropsychology · doi:10.1037/a0021747 · Cited by 76
A framework for interpreting functional networks in schizophrenia
Williamson, P., & Allman, J. M. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00184 · Cited by 74
The role of the medial frontal cortex in the maintenance of emotional states
Waugh, C. E., Lemus, M. G., & Gotlib, I. H. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu011 · Cited by 81
Abnormal Functional Brain Connectivity and Personality Traits in Myotonic Dystrophy Type 1
Serra, L., Silvestri, G., Petrucci, A., Basile, B., Masciullo, M., Makovac, E., Torso, M., Spanò, B., Mastropasqua, C., Harrison, N. A., et al. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.130 · Cited by 79
Epidemiology of falls among the elderly community dwellers in Singapore.
Chan, K. M., Pang, W. S., Ee, C. H., Ding, Y. Y., & Choo, P. Y. (1997) · PubMed · Cited by 72
Ehrlich, S., Lord, A. R., Geisler, D., Borchardt, V., Boehm, I., Seidel, M., Ritschel, F., Schulze, A., King, J. A., Weidner, K., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.22736 · Cited by 65
Voineskos, A. N., Hawco, C. S., Neufeld, N. H., Turner, J. A., Ameis, S. H., Anticevic, A., Buchanan, R. W., Cadenhead, K. S., Dazzan, P., Dickie, E. W., et al. (2024) · World Psychiatry · doi:10.1002/wps.21159 · Cited by 81
Disrupted thalamic resting-state functional networks in schizophrenia
Wang, H. S., Rau, C.-L., Li, Y.-M., Chen, Y., & Yu, R. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00045 · Cited by 72
Smieskova, R., Allen, P., Simon, A. E., Aston, J., Bendfeldt, K., Drewe, J., Gruber, K., Gschwandtner, U., Klarhoefer, M., Lenz, C., et al. (2011) · Human Brain Mapping · doi:10.1002/hbm.21360 · Cited by 71
Wang, Y., Tang, W., Fan, X., Zhang, J., Geng, D., Jiang, K., Zhu, D., Song, Z., Xiao, Z., & Liu, D. (2017) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s123598 · Cited by 68
Whitfield, S., Wendelken, C., Nieto-Castañón, A., Bailey, S., Anteraper, S. A., Lee, Y. J., Chai, X. J., Hirshfeld‐Becker, D. R., Biederman, J., Cutting, L. E., et al. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.4208 · Cited by 75
Ji, C., Müller, V. I., Dukart, J., Hoffstaedter, F., Baker, J. T., Holmes, A. J., Vatansever, D., Nickl‐Jockschat, T., Liu, X., Derntl, B., et al. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.09.024 · Cited by 67
Mehta, U. M., Ibrahim, F. A., Sharma, M. S., Venkatasubramanian, G., Thirthalli, J., Bharath, R. D., Bolo, N. R., Gangadhar, B. N., & Keshavan, M. S. (2021) · Schizophrenia Research · doi:10.1016/j.schres.2021.09.004 · Cited by 72
Genetic influences on resting‐state functional networks: A twin study
Fu, Y., Ma, Z., Hamilton, C. M., Liang, Z., Hou, X., Ma, X., Hu, X., He, Q., Deng, W., Wang, Y., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.22890 · Cited by 72
Li, W., Li, Y., Yang, W., Zhang, Q., Wei, D., Li, W., Hitchman, G., & Qiu, J. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.02.019 · Cited by 72
Fingelkurts, A. A., & Fingelkurts, A. A. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2010.11.015 · Cited by 70
Chyzhyk, D., Graña, M., Öngür, D., & Shinn, A. K. (2015) · International Journal of Neural Systems · doi:10.1142/s0129065715500070 · Cited by 70
(2013) · The MIT Press eBooks · doi:10.7551/mitpress/9780262019583.001.0001 · Cited by 69
Altered intrinsic and extrinsic connectivity in schizophrenia
Zhou, Y., Zeidman, P., Wu, S., Razi, A., Cheng Ann, C. H. E. N., Yang, L., Zou, J., Wang, G., Wang, H., & Friston, K. J. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.12.006 · Cited by 68
Clinical staging in severe mental disorder: evidence from neurocognition and neuroimaging
Lin, A. P., Reniers, R. L. E. P., & Wood, S. J. (2013) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.112.119156 · Cited by 68
Lois, G., & Wessa, M. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw085 · Cited by 66
Dynamic Connectivity Patterns in Conscious and Unconscious Brain
Ma, Y., Hamilton, C. M., & Zhang, N. (2016) · Brain Connectivity · doi:10.1089/brain.2016.0464 · Cited by 71
Schmidt, A., Diwadkar, V. A., Smieskova, R., Harrisberger, F., Lang, U. E., McGuire, P. K., Fusar‐Poli, P., & Borgwardt, S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.01047 · Cited by 73
Nathan, D. E., Oakes, T. R., Yeh, P. H., French, L. M., Harper, J., Liu, W., Wolfowitz, R. D., Wang, B. Q., Graner, J. L., & Riedy, G. P. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0273 · Cited by 70
Genetic and cognitive windows into circuit mechanisms of psychiatric disease
Arguello, P. A., & Gogos, J. A. (2011) · Trends in Neurosciences · doi:10.1016/j.tins.2011.11.007 · Cited by 70
A family affair: brain abnormalities in siblings of patients with schizophrenia
Moran, M., Pol, H. E. H., & Gogtay, N. (2013) · Brain · doi:10.1093/brain/awt116 · Cited by 68
Formal Models of the Network Co-occurrence Underlying Mental Operations
Bzdok, D., Varoquaux, G. P., Grisel, O., Eickenberg, M., Poupon, C., & Thirion, B. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004994 · Cited by 61
Narr, K. L., & Leaver, A. M. (2015) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000157 · Cited by 67
Ćurĉić‐Blake, B., van der Meer, L., Pijnenborg, G. H. M., David, A. S., & Aleman, A. (2015) · Human Brain Mapping · doi:10.1002/hbm.22955 · Cited by 68
Roffman, J. L., Petruzzi, L. J., Tanner, A. S., Brown, H. E., Eryilmaz, H., Ho, N. F., Giegold, M., Silverstein, N. J., Bottiglieri, T., Manoach, D. S., et al. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.41 · Cited by 67
Biophysical Modeling of Large-Scale Brain Dynamics and Applications for Computational Psychiatry
Murray, J. D., Demirtaş, M., & Anticevic, A. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.07.004 · Cited by 67
Korgaonkar, M. S., Ram, K., Williams, L. M., Gatt, J. M., & Grieve, S. M. (2014) · Human Brain Mapping · doi:10.1002/hbm.22446 · Cited by 74
Clos, M., Diederen, K. M. J., Meijering, A. L., Sommer, I. E., & Eickhoff, S. B. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0519-5 · Cited by 70
Discriminative analysis of non-linear brain connectivity in schizophrenia: an fMRI Study
Su, L., Wang, L., Shen, H., Feng, G., & Hu, D. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00702 · Cited by 66
Kauppi, K., Westlye, L. T., Tesli, M., Bettella, F., Brandt, C. L., Mattingsdal, M., Ueland, T., Espeseth, T., Agartz, I., Melle, I. S., et al. (2014) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu152 · Cited by 67
Modular‐level alterations of structure–function coupling in schizophrenia connectome
Sun, Y., Dai, Z., Li, J., Collinson, S. L., & Sim, K. (2016) · Human Brain Mapping · doi:10.1002/hbm.23501 · Cited by 65
Isn’t it ironic? Neural Correlates of Irony Comprehension in Schizophrenia
Rapp, A. M., Langohr, K., Mutschler, D. E., Klingberg, S., Wild, B., & Erb, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074224 · Cited by 69
Zhang, R., Picchioni, M., Allen, P., & Toulopoulou, T. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbv221 · Cited by 65
Schettler, L. M., Thomasius, R., & Paschke, K. (2021) · Addiction Biology · doi:10.1111/adb.13093 · Cited by 64
Exploring the Neural Correlates of Delusions of Reference
Menon, M., Schmitz, T. W., Anderson, A. K., Graff, A., Korostil, M., Mamo, D. C., Gerretsen, P., Addington, J., Remington, G. J., & Kapur, S. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.05.037 · Cited by 64
Gordon, E. M., Stollstorff, M., & Vaidya, C. J. (2011) · Human Brain Mapping · doi:10.1002/hbm.21306 · Cited by 67
Active Sleep Promotes Functional Connectivity in Developing Sensorimotor Networks
Rio‐Bermudez, C. D., & BLUMBERG, M. S. (2018) · BioEssays · doi:10.1002/bies.201700234 · Cited by 67
Nissim, N. R., O’Shea, A., Indahlastari, A., Telles, R., Richards, L., Porges, E., Cohen, R., & Woods, A. J. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00051 · Cited by 63
Diametrical diseases reflect evolutionary-genetic tradeoffs
Crespi, B. J., & Go, M. C. (2015) · Evolution Medicine and Public Health · doi:10.1093/emph/eov021 · Cited by 67
Disorders and borders: Psychiatric genetics and nosology
Smoller, J. W. (2013) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32174 · Cited by 68
Anosognosia in schizophrenia: hidden in plain sight.
Lehrer, D. S., & Lorenz, J. (2014) · PubMed Central · Cited by 63
Northoff, G. (2014) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2014.12.3.189 · Cited by 63
Overcoming Rest–Task Divide—Abnormal Temporospatial Dynamics and Its Cognition in Schizophrenia
Northoff, G., & Gómez‐Pilar, J. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa178 · Cited by 61
Mapping Small-World Properties through Development in the Human Brain: Disruption in Schizophrenia
Tomasi, D. G., & Volkow, N. D. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096176 · Cited by 63
van Buuren, M., Vink, M., Rapcencu, A. E., & Kahn, R. S. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.03.011 · Cited by 66
A selective involvement of putamen functional connectivity in youth with internet gaming disorder
Hong, S., Harrison, B. J., Dandash, O., Choi, E., Kim, S.-C., Kim, H., Shim, D.-H., Kim, C.-D., Kim, J.-W., & Yi, S.-H. (2014) · Brain Research · doi:10.1016/j.brainres.2014.12.042 · Cited by 62
Yu, Y., Shen, H., Zhang, H., Zeng, L., Xue, Z., & Hu, D. (2013) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-12-10 · Cited by 65
Global Functional Connectivity Deficits in Schizophrenia Depend on Behavioral State
Salomon, R., Bleich‐Cohen, M., Hahamy, A., Dinstien, I., Weizman, R., Poyurovsky, M., Kupchik, M., Kotler, M., Hendler, T., & Malach, R. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2987-11.2011 · Cited by 62
Abram, S. V., Wisner, K., Fox, J. M., Barch, D. M., Wang, L., Csernansky, J. G., MacDonald, A. W., & Smith, M. J. (2016) · Human Brain Mapping · doi:10.1002/hbm.23439 · Cited by 63
Network classification with applications to brain connectomics
Relión, J. D. A., Kessler, D. A., Levina, E., & Taylor, S. F. (2019) · The Annals of Applied Statistics · doi:10.1214/19-aoas1252 · Cited by 66
Comparison of large-scale human brain functional and anatomical networks in schizophrenia
Nelson, B. G., Bassett, D. S., Camchong, J., Bullmore, E. T., & Lim, K. O. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.05.007 · Cited by 64
Madhavan, R., Joel, S. E., Mullick, R., Cogsil, T., Niogi, S. N., Tsiouris, A. J., Mukherjee, P., Masdeu, J. C., Marinelli, L., & Shetty, T. (2018) · Journal of Neurotrauma · doi:10.1089/neu.2018.5739 · Cited by 62
Regional GABA Concentrations Modulate Inter-network Resting-state Functional Connectivity
Chen, X., Fan, X., Hu, Y., Zuo, C., Whitfield-Gabrieli, S., Holt, D., Gong, Q., Yang, Y., Pizzagalli, D. A., Du, F., et al. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhy059 · Cited by 62
Reduced dynamics of functional connectivity and cognitive impairment in multiple sclerosis
d’Ambrosio, A., Valsasina, P., Gallo, A., Stefano, N. D., Pareto, D., Barkhof, F., Ciccarelli, O., Enzinger, C., Tedeschi, G., Stromillo, M. L., et al. (2019) · Multiple Sclerosis Journal · doi:10.1177/1352458519837707 · Cited by 62
Walther, S., Lefebvre, S., Conring, F., Gangl, N., Nadesalingam, N., Alexaki, D., Wüthrich, F., Rüter, M., Viher, P. V., Federspiel, A., et al. (2021) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-021-01337-w · Cited by 61
Smieskova, R., Marmy, J., Schmidt, A., Bendfeldt, K., Riecher‐Rössler, A., Walter, M., Lang, U. E., & Borgwardt, S. (2013) · Current Medicinal Chemistry · doi:10.2174/0929867311320030018 · Cited by 61
Altered engagement of attention and default networks during target detection in schizophrenia
Hasenkamp, W. M., James, G. A., Boshoven, W., & Duncan, E. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2010.08.041 · Cited by 60
Wang, H., Guo, W., Liu, F., Wang, G., Lyu, H., Wu, R., Chen, J., Wang, S., Li, L., & Zhao, J. (2016) · Scientific Reports · doi:10.1038/srep26124 · Cited by 61
Alonso-Solís, A., Vives‐Gilabert, Y., Portella, M. J., Rabella, M., Grasa, E., Roldán, A., Keymer-Gausset, A., Molins, C., Núñez-Marín, F., Gómez‐Ansón, B., et al. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.01.042 · Cited by 59
Metadata
- 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
- 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
- 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
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