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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 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
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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
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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
Arioli, M., Cattaneo, Z., Ricciardi, E., & Canessa, N. (2021) · Human Brain Mapping · doi:10.1002/hbm.25570 · Cited by 151
Kalmady, S. V., Greiner, R., Agrawal, R., Shivakumar, V., Narayanaswamy, J. C., Brown, M. R. G., Greenshaw, A. J., Dursun, S. M., & Venkatasubramanian, G. (2019) · Schizophrenia · doi:10.1038/s41537-018-0070-8 · Cited by 131
Doucet, G. E., Janiri, D., Howard, R., O’Brien, M., Andrews‐Hanna, J. R., & Frangou, S. (2020) · European Psychiatry · doi:10.1192/j.eurpsy.2020.57 · Cited by 118
Abellaneda‐Pérez, K., Vaqué‐Alcázar, L., Perellón‐Alfonso, R., Bargalló, N., Kuo, M., Pascual‐Leone, Á., Nitsche, M. A., & Bartrés‐Faz, D. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01440 · Cited by 111
Corripio, I., Roldán, A., Sarró, S., McKenna, P. J., Alonso-Solís, A., Rabella, M., Díaz, A., Puigdemont, D., Pérez, V., Álvarez, E., et al. (2020) · EBioMedicine · doi:10.1016/j.ebiom.2019.11.029 · Cited by 111
Lei, D., Pinaya, W. H. L., van Amelsvoort, T., Marcelis, M. C., Donohoe, G. J., Mothersill, D., Corvin, A. P., Gill, M., Vieira, S., Huang, X., et al. (2019) · Psychological Medicine · doi:10.1017/s0033291719001934 · Cited by 106
Lei, D., Pinaya, W. H. L., Young, J., van Amelsvoort, T., Marcelis, M. C., Donohoe, G. J., Mothersill, D., Corvin, A. P., Vieira, S., Huang, X., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24863 · Cited by 100
Nair, A., Jolliffe, M., Lograsso, Y. S. S., & Bearden, C. E. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00614 · Cited by 92
Domínguez-Iturza, N., Lo, A. C., Shah, D., Armendáriz, M., Vannelli, A., Mercaldo, V., Trusel, M., Li, K. W., Gastaldo, D., Santos, A. R., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11203-y · Cited by 96
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Cao, K.-X., Ma, M.-L., Wang, C.-Z., Iqbal, J., Si, J., Xue, Y.-X., & Yang, J. (2021) · Neuropharmacology · doi:10.1016/j.neuropharm.2021.108574 · Cited by 91
Jonasson, L. S., Grill, F., Hahn, A., Rischka, L., Lanzenberger, R. R., Lundmark, V. P., Riklund, K., Axelsson, J., & Rieckmann, A. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2021913118 · Cited by 87
Xiao, Y., Yan, Z., Zhao, Y., Bo, T., Sun, H., Li, F. Y., Li, Y., Zhang, W., Shah, C., Liu, J., et al. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.11.037 · Cited by 80
Picó‐Pérez, M., Vieira, R., Fernández-Rodríguez, M., de Barros, M. A. P., Raduà, J., & Morgado, P. F. (2022) · Psychological Medicine · doi:10.1017/s0033291721005523 · Cited by 77
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
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
Lunsford‐Avery, J. R., Damme, K. S. F., Engelhard, M., Kollins, S. H., & Mittal, V. A. (2020) · Scientific Reports · doi:10.1038/s41598-019-57024-3 · Cited by 69
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
Disease Definition for Schizophrenia by Functional Connectivity Using Radiomics Strategy
Cui, L., Liu, L., Wang, H., Wang, L., Guo, F., Xi, Y., Liu, T., Li, C., Tian, P., Liu, K., et al. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sby007 · Cited by 70
Owens, M. M., Yuan, D., Hahn, S., Albaugh, M. D., Allgaier, N. A., Chaarani, B., Potter, A., & Garavan, H. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa143 · Cited by 67
Cai, X., Xie, D., Madsen, K. H., Wang, Y., Bögemann, S. A., Cheung, E. F. C., Møller, A., & Chan, R. C. K. (2020) · Human Brain Mapping · doi:10.1002/hbm.24797 · Cited by 62
Disrupted local functional connectivity in schizophrenia: An updated and extended meta-analysis
Cai, M., Wang, R., Liu, M., Du, X., Xue, K., Ji, Y., Wang, Z., Zhang, Y., Guo, L., Qin, W., et al. (2022) · Schizophrenia · doi:10.1038/s41537-022-00311-2 · Cited by 61
BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck
Zheng, K., Yu, S., Baojuan Li, A., Jenssen, R., & Chen, B. (2024) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2024.3449419 · Cited by 62
Dynamic Functional Connectivity Patterns in Schizophrenia and the Relationship With Hallucinations
Weber, S., Johnsen, E., Kroken, R. A., Løberg, E., Kandilarova, S., Stoyanov, D., Kompus, K., & Hugdahl, K. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00227 · Cited by 58
Forlim, C. G., Klock, L., Bächle, J., Stoll, L., Giemsa, P., Fuchs, M., Schoofs, N., Montag, C., Gallinat, J., & Kühn, S. (2020) · Scientific Reports · doi:10.1038/s41598-020-59393-6 · Cited by 50
Rajkumar, R., Farrher, E., Mauler, J., Sripad, P., Brambilla, C. R., Kops, E. R., Scheins, J. J., Dammers, J., Lerche, C. W., Langen, K., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24429 · Cited by 50
Zong, X., Hu, M., Pantazatos, S. P., Mann, J. J., Wang, G., Liao, Y., Liu, Z., Liao, W., Yao, T., Li, Z., et al. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sby175 · Cited by 50
Self-citationCattarinussi, G., Bellani, M., Maggioni, E., Sambataro, F., Brambilla, P., & Delvecchio, G. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.05.055 · Cited by 49
Zhao, X., Yao, J., Lv, Y., Zhang, X., Han, C., Chen, L., Ren, F., Jin, Z., Li, Y., & Sui, Y. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9882-4 · Cited by 47
Ayahuasca's therapeutic potential: What we know – and what not
Maia, L. O., Daldegan‐Bueno, D., Wießner, I., de Araújo, D. B., & Tófoli, L. F. (2022) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2022.10.008 · Cited by 54
Homotopic functional connectivity disruptions in schizophrenia and their associated gene expression
Cai, M., Ji, Y., Zhao, Q., Xue, H., Sun, Z., Wang, H., Zhang, Y., Chen, Y., Zhao, Y., Zhang, Y., et al. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120551 · Cited by 46
Huang, H., Jiang, Y., Xia, M., Tang, Y., Zhang, T., Cui, H., Wang, J., Li, Y., Xu, L., Curtin, A., et al. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.10.044 · Cited by 46
Revisiting Functional Dysconnectivity: a Review of Three Model Frameworks in Schizophrenia
Harikumar, A., Solovyeva, K. P., Misiura, M. B., Iraji, A., Plis, S., Pearlson, G. D., Turner, J. A., & Calhoun, V. D. (2023) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-023-01325-8 · Cited by 50
Zhong, Y., Wang, C., Gao, W., Xiao, Q., Lu, D., Jiao, Q., Su, L., & Lu, G. (2018) · Neuroscience Bulletin · doi:10.1007/s12264-018-0315-6 · Cited by 43
Yang, C., Tang, J., Liu, N., Li, Y., Xu, M., Sun, H. J., Bo, T., Gong, Q., Cao, H., Zhang, W., et al. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.593703 · Cited by 48
Self-citationNeurofunctional correlates of glutamate and GABA imbalance in psychosis: A systematic review
Zahid, U., Onwordi, E. C., Hedges, E. P., Wall, M. B., Modinos, G., Murray, R. M., & Egerton, A. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.105010 · Cited by 45
Yao, S., Harder, A., Darki, F., Chang, Y.-W., Li, A., Nikouei, K., Volpe, G., Lundström, J. N., Zeng, J., Wray, N. R., et al. (2025) · Nature Communications · doi:10.1038/s41467-024-55611-1 · Cited by 54
Overbeek, G., Gawne, T. J., Reid, M. A., Salibi, N., Kraguljac, N. V., White, D. M., & Lahti, A. C. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.10.002 · Cited by 41
Fan, J., Gan, J., Liu, W., Zhong, M., Liao, H., Zhang, H., Yi, J., Chan, R. C. K., Tan, C., & Zhu, X. (2018) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2018.00319 · Cited by 38
Al-Zubaidi, A., Mertins, A., Heldmann, M., Jauch‐Chara, K., & Münte, T. F. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00164 · Cited by 41
Resting-state functional MRI of the default mode network in epilepsy
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Galindo, L., Bergé, D., Murray, G. K., Mané, A., Bulbena, A., Pérez, V., & Vilarroya, Ó. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00298 · Cited by 41
Bioenergetics and abnormal functional connectivity in psychotic disorders
Song, X., Chen, X., Yüksel, Ç., Yuan, J., Pizzagalli, D. A., Forester, B. P., Öngür, D., & Du, F. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00993-z · Cited by 38
Self-citationWen, X., Shu, Y., Qu, D., Wang, Y., Cui, Z., Zhang, X., & Chen, R. (2023) · BMC Medicine · doi:10.1186/s12916-023-02808-8 · Cited by 46
Saris, I. M. J., Aghajani, M., Reus, L. M., Visser, P. J., Pijnenburg, Y. A. L., van der Wee, N. J. A., Bilderbeck, A. C., Raslescu, A., Malik, A., Mennes, M., et al. (2021) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2021.1966714 · Cited by 41
Aguilar, D. D., & McNally, J. M. (2022) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2022.05.005 · Cited by 40
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Sass, L. A. (2019) · Psychopathology · doi:10.1159/000500012 · Cited by 37
Hyatt, C. J., Calhoun, V. D., Pittman, B. P., Corbera, S., Bell, M. D., Rabany, L., Pelphrey, K. A., Pearlson, G. D., & Assaf, M. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102343 · Cited by 39
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Goh, K. K., Chen, C. Y.-A., Wu, T., Chen, C.-H., & Lu, M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23137092 · Cited by 41
Clinical anatomy of the precuneus and pathogenesis of the schizophrenia
Messina, A., Cuccì, G., Crescimanno, C., & Signorelli, M. S. (2023) · Anatomical Science International · doi:10.1007/s12565-023-00730-w · Cited by 37
Functional neuroimaging in treatment resistant schizophrenia: A systematic review
Molent, C., Olivo, D., Wolf, R. C., Balestrieri, M., & Sambataro, F. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.07.001 · Cited by 38
Krukow, P., Jonak, K., Grochowski, C., Plechawska–Wójcik, M., & Karakuła‐Juchnowicz, H. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.109959 · Cited by 37
Functional disconnection between subsystems of the default mode network in schizophrenia
Fan, F., Tan, S., Huang, J., Chen, S., Fan, H., Wang, Z., Li, C. R., & Tan, Y. (2020) · Psychological Medicine · doi:10.1017/s003329172000416x · Cited by 38
Lin, Y., Li, M., Zhou, Y., Deng, W., Ma, X., Wang, Q., Guo, W., Li, Y., Jiang, L., Hu, X., et al. (2019) · Neuroscience Bulletin · doi:10.1007/s12264-019-00348-x · Cited by 34
Kelsey, C. M., Farris, K., & Großmann, T. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.685754 · Cited by 38
Gao, Y., Tong, X., Hu, J., Huang, H., Guo, T., Wang, G., Li, Y., & Wang, G. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.949512 · Cited by 33
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Escelsior, A., Belvederi Murri, M., Calcagno, P., Cervetti, A., Caruso, R., Croce, E., Grassi, L., & Amore, M. (2019) · Journal of Nervous & Mental Disease · doi:10.1097/nmd.0000000000001064 · Cited by 32
Guardiola-Ripoll, M., & Fatjó‐Vilas, M. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24043597 · Cited by 32
Lord, B., Sanguinetti, J. L., Ruiz, L., Miskovic, V., Segre, J., Young, S., Fini, M. E., & Allen, J. J. B. (2024) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2024.1392199 · Cited by 36
Model order effects on ICA of resting-state complex-valued fMRI data: Application to schizophrenia
Kuang, L., Lin, Q., Gong, X., Cong, F., Jing Sui (Beijing Normal University), my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., & Calhoun, V. D. (2018) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.02.013 · Cited by 31
Multi-echo fMRI, resting-state connectivity, and high psychometric schizotypy
Waltmann, M., O’Daly, O., Egerton, A., McMullen, K., Kumari, V., Barker, G. J., Williams, S., & Modinos, G. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.11.013 · Cited by 33
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Moran, J. K., Michail, G., Heinz, A., Keil, J., & Senkowski, D. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00517 · Cited by 29
Reward enhances connectivity between the ventral striatum and the default mode network
Dobryakova, E., & Smith, D. V. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119398 · Cited by 31
Target selection for deep brain stimulation in treatment resistant schizophrenia
Corripio, I., Roldán, A., McKenna, P. J., Sarró, S., Alonso-Solís, A., Salgado, L., Álvarez, E., Molet, J., Pomarol‐Clotet, E., & Portella, M. J. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2021.110436 · Cited by 33
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Tripathi, V., Batta, I., Zamani, A., Atad, D. A., Sheth, S. K. S., Zhang, J., Wager, T. D., Whitfield, S., Uddin, L. Q., Prakash, R. S., et al. (2024) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2024.12.016 · Cited by 32
Kottaram, A., Johnston, L. A., Tian, Y., Ganella, E. P., Laskaris, L., Cocchi, L., McGorry, P. D., Pantelis, C., Ramamohanarao, K., Cropley, V., et al. (2020) · Human Brain Mapping · doi:10.1002/hbm.25020 · Cited by 26
Ellis, J. K., Walker, E. F., & Goldsmith, D. R. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.567534 · Cited by 29
Biophysical mechanism of the interaction between default mode network and working memory network
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Zhu, J., Li, K., Cao, S.-X., Chen, X., Shen, C.-J., Zhang, Y., Geng, H.-Y., Chen, B., Lian, H., Zhang, J., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-00207-7 · Cited by 28
Self-citationAnteraper, S. A., Collin, G., Guell, X., Scheinert, T., Molokotos, E. K., Henriksen, M. T., Mesholam‐Gately, R. I., Thermenos, H. W., Seidman, L. J., Keshavan, M. S., et al. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2019.09.006 · Cited by 26
Brakowski, J., Manoliu, A., Homan, P., Bosch, O. G., Herdener, M., Seifritz, E., Kaiser, S., & Kirschner, M. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.10.047 · Cited by 29
Cuevas, P., Steines, M., He, Y., Nagels, A., Culham, J. C., & Straube, B. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.03.054 · Cited by 26
Self-citationHoy, N., Lynch, S. J., Waszczuk, M. A., Reppermund, S., & Mewton, L. R. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105431 · Cited by 31
Dotterer, H. L., Hyde, L. W., Shaw, D. S., Rodgers, E. L., Forbes, E. E., & Beltz, A. M. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102402 · Cited by 24
Murayama, K., Tomiyama, H., Tsuruta, S., Ohono, A., Kang, M., Hasuzawa, S., Mizobe, T., Kato, K., Togao, O., Hiwatashi, A., et al. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.659616 · Cited by 28
Oh, K., Oh, I.-S., Tsogt, U., Shen, J., Kim, W., Liu, C., Kang, N., Lee, K., Sui, J., Kim, S., et al. (2022) · BMC Neuroscience · doi:10.1186/s12868-021-00682-9 · Cited by 25
Zhao, X., Ozols, A. B., Meyers, K. T., Campbell, J. M., McBride, A., Marballi, K. K., Maple, A. M., Raskin, C., Mishra, A. P., Noss, S., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01390-w · Cited by 24
Soler‐Vidal, J., Fuentes‐Claramonte, P., Salgado‐Pineda, P., Ramiro, N., García‐León, M. Á., Torres, M. L., Arévalo, A., Guerrero‐Pedraza, A., Munuera, J., Sarró, S., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0276975 · Cited by 24
Liang, S., Vega, R., Kong, X., Deng, W., Wang, Q., Ma, X., Li, M., Hu, X., Greenshaw, A. J., Greiner, R., et al. (2017) · Neuroscience Bulletin · doi:10.1007/s12264-017-0190-6 · Cited by 24
Iraji, A., Chen, J., Lewis, N., Faghiri, A., Fu, Z., Agcaoglu, O., Kochunov, P. V., Adhikari, B. M., Mathalon, D. H., Pearlson, G. D., et al. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.12.002 · Cited by 23
Li, L., Long, T., Liu, Y., Ayoub, M., Song, Y., Shu, Y., Liu, X., Zeng, L., Huang, L., Liu, Y., et al. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14786 · Cited by 23
Choi, S. Y., Ha, M., Choi, S., Moon, S., Park, S., Kim, M., & Kwon, J. S. (2023) · Schizophrenia Research · doi:10.1016/j.schres.2022.12.041 · Cited by 22
Using in silico perturbational approach to identify critical areas in schizophrenia
Mana, L., Vila‐Vidal, M., Köckeritz, C., Aquino, K. M., Fornito, A., Kringelbach, M. L., & Deco, G. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad067 · Cited by 22
Yang, L., Ren, P., & Ma, Y. (2018) · Neuroscience Bulletin · doi:10.1007/s12264-018-0242-6 · Cited by 22
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Vogelstein, J. T., Bridgeford, E., Pedigo, B. D., Chung, J., Levin, K., Mensh, B. D., & Priebe, C. E. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.04.005 · Cited by 25
Xie, Y.-J., Guan, M.-Z., Cai, Y., Wang, Z.-H., Ma, Z.-J., Fang, P., & Wang, H.-N. (2022) · Psychiatry Research · doi:10.1016/j.psychres.2022.114974 · Cited by 20
Advances in the fMRI analysis of the default mode network: a review
Sanz‐Morales, E., & Melero, H. (2024) · Brain Structure and Function · doi:10.1007/s00429-024-02888-z · Cited by 24
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Crafa, D., & Nagel, S. K. (2020) · Transcultural Psychiatry · doi:10.1177/1363461519879515 · Cited by 24
Jiang, Y., Duan, M., He, H., Yao, D., & Luo, C. (2021) · Current Neuropharmacology · doi:10.2174/1570159x19666210809101248 · Cited by 21
Hilland, E., Johannessen, C. H., Jonassen, R., Alnæs, D., Jørgensen, K. N., Barth, C., Andreou, D., Nerland, S., Wortinger, L. A., Smelror, R. E., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102881 · Cited by 22
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Liang, C., Pearlson, G., Bustillo, J., Kochunov, P., Turner, J. A., Wen, X., Jiang, R., Fu, Z., Zhang, X., Li, K., et al. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbac158 · Cited by 19
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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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