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The Frontoparietal Control System: A Central Role in Mental Health
Open accessAbstract
Recent findings suggest the existence of a frontoparietal control system consisting of flexible hubs that regulate distributed systems (e.g., visual, limbic, motor) according to current task goals. A growing number of studies are reporting alterations of this control system across a striking range of mental diseases. We suggest this may reflect a critical role for the control system in promoting and maintaining mental health. Specifically, we propose that this system implements feedback control to regulate symptoms as they arise (e.g., excessive anxiety reduced via regulation of amygdala), such that an intact control system is protective against a variety of mental illnesses. Consistent with this possibility, recent results indicate that several major mental illnesses involve altered brain-wide connectivity of the control system, likely altering its ability to regulate symptoms. These results suggest that this "immune system of the mind" may be an especially important target for future basic and clinical research.
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“The frontoparietal control network (FPCN), with nodes in the dorsolateral prefrontal cortex (DLPFC) and posterior parietal cortex (PPC) is involved in “top-down control,” monitoring attention, and regulating sensory, and internal networks according to current task goals (Cole et al., 2014).”
From Changes in functional connectivity following treatment with emotion regulation therapy (2019) · cites this paper as Cole et al., 2014
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Cites
Diamond, A. (2013) · Annual Review of Psychology · doi:10.1146/annurev-psych-113011-143750 · Cited by 13,268
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., Sanislow, C., & Wang, P. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09091379 · Cited by 7,067
A gradient of childhood self-control predicts health, wealth, and public safety
Moffitt, T. E., Arseneault, L., Belsky, D., Dickson, N., Hancox, R. J., Harrington, H., Houts, R., Poulton, R., Roberts, B. W., Ross, S., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1010076108 · Cited by 4,885
Functional Network Organization of the Human Brain
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124
The empirical status of cognitive-behavioral therapy: A review of meta-analyses
Butler, A. C., Chapman, J. E., Forman, E. M., & Beck, A. T. (2006) · Clinical Psychology Review · doi:10.1016/j.cpr.2005.07.003 · Cited by 3,215
Toward the future of psychiatric diagnosis: the seven pillars of RDoC
Cuthbert, B. N., & Insel, T. R. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-126 · Cited by 3,053
Research works printed but not linked: 4
- Anticevic A, 2013, Cereb Cortex
- Anticevic A, 2013, Biol Psychiatry
- Henriques GR, 2002, Sci Rev Ment Health Pract, 1, 157
- Wakefield JC, 2007, World Psychiatry, 6, 149
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Buckner, R. L., & DiNicola, L. M. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0212-7 · Cited by 1,058
Insel, T. R., & Cuthbert, B. N. (2015) · Science · doi:10.1126/science.aab2358 · Cited by 840
Marek, S., & Dosenbach, N. U. F. (2018) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2018.20.2/smarek · Cited by 836
Dixon, M. L., De La Vega, A., Mills, C., Andrews-Hanna, J., Spreng, R. N., Cole, M. W., & Christoff, K. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1715766115 · Cited by 595
Mapping the human brain's cortical-subcortical functional network organization
Ji, J. L., Spronk, M., Kulkarni, K. R., Repovš, G., Anticevic, A., & Cole, M. W. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.006 · Cited by 604
Linked dimensions of psychopathology and connectivity in functional brain networks
Xia, C. H., Ma, Z., Ciric, R., Gu, S., Betzel, R. F., Kaczkurkin, A. N., Calkins, M. E., Cook, P. A., García de la Garza, A., Vandekar, S. N., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05317-y · Cited by 437
Transdiagnostic impairment of cognitive control in mental illness
McTeague, L. M., Goodkind, M. S., & Etkin, A. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.08.001 · Cited by 368
The inferior parietal lobule and temporoparietal junction: A network perspective
Igelström, K. M., & Graziano, M. S. A. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.01.001 · Cited by 367
Foss‐Feig, J. H., Adkinson, B. D., Ji, J. L., Yang, G., Srihari, V. H., McPartland, J. C., Krystal, J. H., Murray, J. D., & Anticevic, A. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.03.005 · Cited by 328
Belcher, B. R., Zink, J., Azad, A., Campbell, C. E., Chakravartti, S. P., & Herting, M. M. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.08.005 · Cited by 345
Individual Variation in Functional Topography of Association Networks in Youth
Cui, Z., Li, H., Xia, C. H., Larsen, B., Adebimpe, A., Baum, G. L., Cieslak, M., Gur, R. E., Gur, R. C., Moore, T. M., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.029 · Cited by 274
The plasticity of well-being: A training-based framework for the cultivation of human flourishing
Dahl, C. J., Wilson‐Mendenhall, C. D., & Davidson, R. J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2014859117 · Cited by 295
Childhood trauma history is linked to abnormal brain connectivity in major depression
Yu, M., Linn, K. A., Shinohara, R. T., Oathes, D. J., Cook, P. A., Duprat, R., Moore, T. M., Oquendo, M. A., Phillips, M. L., McInnis, M. G., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1900801116 · Cited by 230
Chen, J., Tam, A., Kebets, V., Orbán, C., Ooi, L. Q. R., Asplund, C. L., Marek, S. A., Dosenbach, N. U. F., Eickhoff, S. B., Bzdok, D., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29766-8 · Cited by 240
Defining Individual-Specific Functional Neuroanatomy for Precision Psychiatry
Gratton, C., Kraus, B. T., Greene, D. J., Gordon, E. M., Laumann, T. O., Nelson, S. M., Dosenbach, N. U. F., & Petersen, S. E. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.10.026 · Cited by 202
Fronto-parietal and cingulo-opercular network integrity and cognition in health and schizophrenia
Sheffield, J. M., Repovš, G., Harms, M. P., Carter, C. S., Gold, J. M., MacDonald, A. W., Ragland, J. D., Silverstein, S. M., Godwin, D., & Barch, D. M. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.05.006 · Cited by 193
Li, H., Hou, X., Liu, H., Yue, C., Lu, G., & Zuo, X. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.08.013 · Cited by 183
Brain Networks Subserving Emotion Regulation and Adaptation after Mild Traumatic Brain Injury
van der Horn, H. J., Liemburg, E. J., Aleman, A., Spikman, J. M., & van der Naalt, J. (2015) · Journal of Neurotrauma · doi:10.1089/neu.2015.3905 · Cited by 180
Braun, U., Harneit, A., Pergola, G., Menara, T., Schäfer, A., Betzel, R. F., Zang, Z., Schweiger, J. I., Zhang, X., Schwarz, K., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23694-9 · Cited by 198
Cognitive task information is transferred between brain regions via resting-state network topology
Ito, T., Kulkarni, K. R., Schultz, D. H., Mill, R. D., Chen, R. H., Solomyak, L. I., & Cole, M. W. (2017) · Nature Communications · doi:10.1038/s41467-017-01000-w · Cited by 181
Convergent molecular, cellular, and cortical neuroimaging signatures of major depressive disorder
Anderson, K. M., Collins, M. A., Kong, R., Fang, K., Li, J., He, T., Chekroud, A. M., Yeo, B. T. T., & Holmes, A. J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2008004117 · Cited by 173
A Connectome-wide Functional Signature of Transdiagnostic Risk for Mental Illness
Elliott, M. L., Romer, A. L., Knodt, A. R., & Hariri, A. R. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.03.012 · Cited by 174
Functional connectomics of affective and psychotic pathology
Baker, J. T., Dillon, D. G., Patrick, L. M., Roffman, J. L., Brady, R. O., Pizzagalli, D. A., Öngür, D., & Holmes, A. J. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820780116 · Cited by 156
Functional hierarchy underlies preferential connectivity disturbances in schizophrenia
Yang, G. J., Murray, J. D., Wang, X.-J., Glahn, D. C., Pearlson, G. D., Repovs, G., Krystal, J. H., & Anticevic, A. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1508436113 · Cited by 153
Hartwigsen, G., Neef, N. E., Camilleri, J. A., Margulies, D. S., & Eickhoff, S. B. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy049 · Cited by 167
Left frontal cortex connectivity underlies cognitive reserve in prodromal Alzheimer disease
Franzmeier, N., Duering, M., Weiner, M. W., Dichgans, M., Ewers, M., & Initiative, A. D. N. (2017) · Neurology · doi:10.1212/wnl.0000000000003711 · Cited by 148
A task-invariant cognitive reserve network
Stern, Y., Gazes, Y., Razlighi, Q., Steffener, J., & Habeck, C. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.033 · Cited by 132
Reduced default mode network suppression during a working memory task in remitted major depression
Bartova, L., Meyer, B. M., Diers, K., Rabl, U., Scharinger, C., Popovic, A., Pail, G., Kalcher, K., Boubela, R. N., Huemer, J., et al. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.02.025 · Cited by 135
Tao, J., Chen, X., Egorova, N., Liu, J., Xue, X., Wang, Q., Zheng, G., Li, M., Hong, W., Sun, S., et al. (2017) · Scientific Reports · doi:10.1038/srep41581 · Cited by 147
Wang, Y., Cao, D., Remeniuk, B., Krimmel, S. R., Seminowicz, D. A., & Zhang, M. (2017) · Pain · doi:10.1097/j.pain.0000000000000951 · Cited by 140
Suppressing Unwanted Memories Reduces Their Unintended Influences
Hu, X., Bergström, Z. M., Gagnepain, P., & Anderson, M. C. (2017) · Current Directions in Psychological Science · doi:10.1177/0963721417689881 · Cited by 138
Cognitive neuroscience of human counterfactual reasoning
Hoeck, N. V. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00420 · Cited by 147
Transdiagnostic Associations Between Functional Brain Network Integrity and Cognition
Sheffield, J. M., Kandala, S., Tamminga, C. A., Pearlson, G. D., Keshavan, M. S., Sweeney, J. A., Clementz, B. A., Lerman-Sinkoff, D. B., Hill, S. K., & Barch, D. M. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.0669 · Cited by 129
Ma, Q., Tang, Y., Wang, F., Liao, X., Jiang, X., Wei, S., Mechelli, A., Yong He, A., & Xia, M. (2019) · Schizophrenia Bulletin · doi:10.1093/schbul/sbz111 · Cited by 119
Task-positive Functional Connectivity of the Default Mode Network Transcends Task Domain
Elton, A., & Gao, W. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00859 · Cited by 119
From connectome to cognition: The search for mechanism in human functional brain networks
Mill, R. D., Ito, T., & Cole, M. W. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.060 · Cited by 122
Pan, J., Zhan, L., Hu, C., Yang, J., Wang, C., Gu, L., Zhong, S., Huang, Y., Wu, Q., Xie, X., et al. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00070 · Cited by 130
Widespread temporal coding of cognitive control in the human prefrontal cortex
Smith, E. H., Horga, G., Yates, M. J., Mikell, C. B., Banks, G. P., Pathak, Y. J., Schevon, C. A., McKhann, G. M., Hayden, B. Y., Botvinick, M., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0494-0 · Cited by 117
Franzmeier, N., Düzel, E., Jessen, F., Büerger, K., Levin, J., Duering, M., Dichgans, M., Haass, C., Suárez‐Calvet, M., Fagan, A. M., et al. (2018) · Brain · doi:10.1093/brain/awy008 · Cited by 117
Franzmeier, N., Göttler, J., Grimmer, T., Drzezga, A. E., Caballero, M. Á. A., Simon‐Vermot, L., Taylor, A. N. W., Bürger, K., Catak, C., Janowitz, D., et al. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00264 · Cited by 117
Rubia, K., Criaud, M., Wulff, M., Alegria, A., Brinson, H., Barker, G., Stahl, D., & Giampietro, V. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.055 · Cited by 111
Impaired integration in psychopathy: A unified theory of psychopathic dysfunction.
Hamilton, R. K. B., Racer, K. H., & Newman, J. P. (2015) · Psychological Review · doi:10.1037/a0039703 · Cited by 116
Wu, X., Ji, G.-J., Geng, Z., Wang, L., Yan, Y., Wu, Y., Xiao, G., Gao, L., Wei, Q., Zhou, S., et al. (2022) · Brain Stimulation · doi:10.1016/j.brs.2021.11.007 · Cited by 109
White matter tracts and executive functions: a review of causal and correlation evidence
Ribeiro, M., Yordanova, Y. N., Noblet, V., Herbet, G., & Ricard, D. (2023) · Brain · doi:10.1093/brain/awad308 · Cited by 125
The functional role of post-movement beta oscillations in motor termination
Heinrichs‐Graham, E., Kurz, M. J., Gehringer, J. E., & Wilson, T. W. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1387-1 · Cited by 106
Neural Coding of Cognitive Control: The Representational Similarity Analysis Approach
Freund, M. C., Etzel, J. A., & Braver, T. S. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.03.011 · Cited by 116
Perneczky, R., Kempermann, G., Korczyn, A. D., Matthews, F. E., Ikram, M. A., Scarmeas, N., Chételat, G., Stern, Y., & Ewers, M. (2019) · BMC Medicine · doi:10.1186/s12916-019-1283-z · Cited by 114
Franzmeier, N., Caballero, M. Á. A., Taylor, A. N. W., Simon-Vermot, L., Buerger, K., Ertl-Wagner, B., Mueller, C., Catak, C., Janowitz, D., Baykara, E., et al. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9599-1 · Cited by 103
Adaptive working memory training can reduce anxiety and depression vulnerability in adolescents
Beloe, P., & Derakshan, N. (2019) · Developmental Science · doi:10.1111/desc.12831 · Cited by 115
Malagurski, B., Liem, F., Oschwald, J., Mérillat, S., & Jäncke, L. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116680 · Cited by 104
Johnson, S. L., Elliott, M. V., & Carver, C. S. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.08.018 · Cited by 90
Li, Q., Yang, G., Li, Z., Qi, Y., Cole, M. W., & Liu, X. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.09.032 · Cited by 96
Self-citationFeng, C., Eickhoff, S. B., Li, T., Wang, L., Becker, B., Camilleri, J. A., Hétu, S., & Luo, Y. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.03.025 · Cited by 106
Eilert, D. W., & Buchheim, A. (2023) · Brain Sciences · doi:10.3390/brainsci13060884 · Cited by 131
Schurz, M., Maliske, L., & Kanske, P. (2020) · Cortex · doi:10.1016/j.cortex.2020.05.006 · Cited by 110
Schultz, D. H., Ito, T., Solomyak, L. I., Chen, R. H., Mill, R. D., Anticevic, A., & Cole, M. W. (2018) · Network Neuroscience · doi:10.1162/netn_a_00056 · Cited by 96
Yamashita, M., Yoshihara, Y., Hashimoto, R., Yahata, N., Ichikawa, N., Sakai, Y., Yamada, T., Matsukawa, N., Okada, G., Tanaka, S., et al. (2018) · eLife · doi:10.7554/elife.38844 · Cited by 92
Altered Global Signal Topography in Schizophrenia
Yang, G., Murray, J. D., Glasser, M. F., Pearlson, G. D., Krystal, J. H., Schleifer, C., Repovš, G., & Anticevic, A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw297 · Cited by 88
Davis, E. P., Hankin, B. L., Swales, D. A., & Hoffman, M. C. (2018) · Development and Psychopathology · doi:10.1017/s0954579418000470 · Cited by 95
The Myth of Optimality in Clinical Neuroscience
Holmes, A. J., & Patrick, L. M. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.12.006 · Cited by 89
Reinen, J., Chén, O. Y., Hutchison, R. M., Yeo, B. T. T., Anderson, K. M., Sabuncu, M. R., Öngür, D., Roffman, J. L., Smoller, J. W., Baker, J. T., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03462-y · Cited by 84
Chen, T., Becker, B., Camilleri, J. A., Wang, L., Yu, S., Eickhoff, S. B., & Feng, C. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1727-9 · Cited by 86
The Behavioral Relevance of Task Information in Human Prefrontal Cortex
Cole, M. W., Ito, T., & Braver, T. S. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv072 · Cited by 84
Franzmeier, N., Büerger, K., Teipel, S. J., Stern, Y., Dichgans, M., & Ewers, M. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.11.013 · Cited by 80
Snyder, H. R., Hankin, B. L., Sandman, C. A., Head, K., & Davis, E. P. (2017) · Clinical Psychological Science · doi:10.1177/2167702617714563 · Cited by 81
Rakesh, D., Kelly, C. A. M., Vijayakumar, N., Zalesky, A., Allen, N. B., & Whittle, S. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.09.016 · Cited by 83
Negrón-Oyarzo, I., Aboitiz, F., & Fuentealba, P. (2016) · Neural Plasticity · doi:10.1155/2016/7539065 · Cited by 79
Franzmeier, N., Hartmann, J., Taylor, A. N. W., Caballero, M. Á. A., Lee, S.-V., Buerger, K., Kambeitz-Ilankovic, L., Ertl-Wagner, B., Mueller, C., Catak, C., et al. (2017) · Journal of Alzheimer's Disease · doi:10.3233/jad-170360 · Cited by 69
The neural basis of motivational influences on cognitive control
Parro, C., Dixon, M. L., & Kalina Christoff, A. (2018) · Human Brain Mapping · doi:10.1002/hbm.24348 · Cited by 76
The left frontal cortex supports reserve in aging by enhancing functional network efficiency
Franzmeier, N., Hartmann, J., Taylor, A. N. W., Caballero, M. Á. A., Simon‐Vermot, L., Kambeitz‐Ilankovic, L., Bürger, K., Catak, C., Janowitz, D., Müller, C., et al. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0358-y · Cited by 76
Zhukovsky, P., Anderson, J. A. E., Coughlan, G., Mulsant, B. H., Cipriani, A., & Voineskos, A. N. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2021.21010088 · Cited by 73
Age-related functional brain changes in young children
Long, X., Benischek, A., Dewey, D., & Lebel, C. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.059 · Cited by 75
Benson, G. S., Hildebrandt, A., Lange, C., Schwarz, C., Köbe, T., Sommer, W., Flöel, A., & Wirth, M. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0434-3 · Cited by 76
Schwarz, K., Moessnang, C., Schweiger, J. I., Baumeister, S., Plichta, M. M., Brandeis, D., Banaschewski, T., Wackerhagen, C., Erk, S., Walter, H., et al. (2019) · Schizophrenia Bulletin · doi:10.1093/schbul/sbz075 · Cited by 66
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
Zheng, R., Zhang, Y., Yang, Z., Han, S., & Cheng, J. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.671348 · Cited by 71
Altered Neural Efficiency of Decision Making During Temporal Reward Discounting in Anorexia Nervosa
King, J. A., Geisler, D., Bernardoni, F., Ritschel, F., Boehm, I., Seidel, M., Mennigen, E., Ripke, S., Smolka, M. N., Roessner, V., et al. (2016) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2016.08.005 · Cited by 75
Ho, T. C., Sacchet, M. D., Connolly, C. G., Margulies, D. S., Tymofiyeva, O., Paulus, M. P., Simmons, A. N., Gotlib, I. H., & Yang, T. T. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.103 · Cited by 73
Liu, Q., Liu, Y., Leng, X., Han, J., Xia, F., & Chen, H. (2020) · Neuroscience Bulletin · doi:10.1007/s12264-020-00549-9 · Cited by 70
Metzger, F. G., Schopp, B., Haeussinger, F. B., Dehnen, K., Synofzik, M., Fallgatter, A. J., & Ehlis, A. (2016) · Alzheimer s Research & Therapy · doi:10.1186/s13195-016-0224-8 · Cited by 67
Kutch, J. J., Labus, J. S., Harris, R. E., Martucci, K. T., Farmer, M. A., Fenske, S. J., Fling, C., Ichesco, E., Peltier, S., Petre, B., et al. (2017) · Pain · doi:10.1097/j.pain.0000000000000886 · Cited by 68
Li, C., Huang, B., Zhang, R., Ma, Q., Yang, W., Wang, L., Wang, L., Xu, Q., Feng, J., Liu, L., et al. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9501-6 · Cited by 65
Lifespan anxiety is reflected in human amygdala cortical connectivity
He, Y., Xu, T., Zhang, W., & Zuo, X. (2015) · Human Brain Mapping · doi:10.1002/hbm.23094 · Cited by 62
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Metadata
- Authors
- Cole, M. W., Repovš, G., & Anticevic, A.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- University of Ljubljana (SI)
- Yale University (US)
- Venue
- The Neuroscientist
- Publisher
- SAGE Publications
- Published
- 2014-03-12
- Volume
- 20
- Issue
- 6
- Pages
- 652-664
- ISSN
- 1073-8584 (ISSN-L)
- 1089-4098
- PMC
- PMC4162869
- OpenAlex
- W2146083743
- Cited by
- 461
- References
- 105
- Citations by year
- 2026: 37 · 2025: 37 · 2024: 40 · 2023: 43 · 2022: 25 · 2021: 46 · 2020: 48 · 2019: 43 · 2018: 43 · 2017: 58 · 2016: 20 · 2015: 20 · 2014: 1
- FWCI
- 3.11
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The Neuroscientist (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (DP5OD01210901, DP5OD012109, UL1TR000142)
- National Institute of Mental Health (K99MH096801, MH096801, R00MH096801, R01MH108590)
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- cognitive control, feedback control, mental illness, brain connectivity, anxiety regulation, amygdala, mental health
- MeSH terms
- Mental Disorders, Frontal Lobe, Humans, Mental Health, Mental Processes, Nerve Net, Parietal Lobe, Feedback, Physiological
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