The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.
Functional network dysfunction in anxiety and anxiety disorders
Open accessAbstract
A recent paradigm shift in systems neuroscience is the division of the human brain into functional networks. Functional networks are collections of brain regions with strongly correlated activity both at rest and during cognitive tasks, and each network is believed to implement a different aspect of cognition. We propose here that anxiety disorders and high trait anxiety are associated with a particular pattern of functional network dysfunction: increased functioning of the cingulo-opercular and ventral attention networks as well as decreased functioning of the fronto-parietal and default mode networks. This functional network model can be used to differentiate the pathology of anxiety disorders from other psychiatric illnesses such as major depression and provides targets for novel treatment strategies.
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 cited source doesn’t support the claim as written.
In the citing paper
“Both, goal-directed stimulus processing [46] and the function of the dorsal attention network [47] have been found to be impaired in highly anxious individuals.”
From They are laughing at me: Cerebral mediation of cognitive biases in social anxiety (2014) · cites this paper as [47]
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredIn the citing paper
“Specific treatments can then be targeted to individual patients based on their personalized pattern of brain network dysfunction.112”
From Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders (2021) · cites this paper as [112]
In the citing paper
“Anxiety and ABs may emerge from an imbalance between threat salience evaluation and cognitive control processes, described at both cognitive and neural network levels [115,118-121].”
From Anxiety and Threat-Related Attention: Cognitive-Motivational Framework and Treatment (2018) · cites this paper as [119]
In the citing paper
“Sylvester et al. (2012) propose that anxiety-related dysfunction in each of the four networks should be evident on tasks using neutral stimuli (i.e., it is not specific to processing threat information).”
From Anxiety and attention to threat: cognitive mechanisms and treatment with attention bias modification (2016) · cites this paper as Sylvester et al., 2012
In the citing paper
“Furthermore, Sylvester et al. (2012) propose that both high trait anxiety and anxiety disorders are associated with individual differences in dysfunction in four brain networks: ventral attention, frontoparietal, cingulo-opercular and default mode network; which results in increased bottom-up stimulus-driven attention, reduced topdown attention control, increased error sensitivity, and poor”
From Anxiety and attention to threat: cognitive mechanisms and treatment with attention bias modification (2016) · cites this paper as Sylvester et al., 2012
In the citing paper
“The same may apply to other functions, such as cognitive flexibility, or bottom-up spatial orienting (Eysenck et al., 2007;Sylvester et al., 2012).”
From Anxiety and attention to threat: cognitive mechanisms and treatment with attention bias modification (2016) · cites this paper as Sylvester et al., 2012
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
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
Self-citationA 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
Self-citationDissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426
Conflict monitoring and cognitive control
Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.624 · Cited by 7,351
Anxiety and cognitive performance: Attentional control theory
Eysenck, M. W., Derakshan, N., Santos, R., & Calvo, M. G. (2007) · Emotion · doi:10.1037/1528-3542.7.2.336 · Cited by 5,289
The cognitive control of emotion
OCHSNER, K., & GROSS, J. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.03.010 · Cited by 4,495
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
Self-citationThe reorienting system of the human brain: from environment to theory of mind
Corbetta, M., Patel, G., & Shulman, G. L. (2008) · Neuron · doi:10.1016/j.neuron.2008.04.017 · Cited by 3,889
Self-citationSpontaneous neuronal activity distinguishes human dorsal and ventral attention systems
Fox, M. D., Corbetta, M., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604187103 · Cited by 2,101
Self-citationThe Neurocircuitry of Fear, Stress, and Anxiety Disorders
Shin, L. M., & Liberzon, I. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.83 · Cited by 2,083
Flagged first, then by citations
Cited by
Sorted by citations
Items 401–500 of 577
Li, Q., Zhang, X., Yang, X., Pan, N., Li, X., Kemp, G. J., Wang, S., & Gong, Q. (2023) · Neurobiology of Stress · doi:10.1016/j.ynstr.2023.100578 · Cited by 5
Moser, J. S., Moran, T. P., & Leber, A. B. (2015) · Behavior Therapy · doi:10.1016/j.beth.2015.07.001 · Cited by 6
Horowitz‐Kraus, T., Holland, S. K., Versace, A., Bertocci, M. A., Bebko, G. M., Almeida, J., Perlman, S. B., Travis, M. J., Gill, M. K., Bonar, L. K., et al. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.06.020 · Cited by 5
Lu, L., Li, H., Mills, J. A., Schroeder, H. K., Mossman, S. A., Varney, S. T., Cecil, K. M., Huang, X., Gong, Q., Levine, A. A., et al. (2020) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2020.0024 · Cited by 5
Abnormal brain function in photophobic patients with dry eye disease: An fMRI study
Tazi, S., Boulanouar, A. K., Cassagne, M., Fournié, P., Malecaze, J., Payoux, P., Malecaze, F., & Cohen, L. (2023) · Revue Neurologique · doi:10.1016/j.neurol.2022.11.014 · Cited by 5
Zhang, Y., Duan, M., & He, H. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00951-1 · Cited by 5
Xie, H., Moraczewski, D., McNaughton, K. A., Warnell, K. R., Alkire, D. R., Merchant, J. S., Kirby, L., Yarger, H. A., & Redcay, E. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.05.543807 · Cited by 5
Social reappraisal of emotions is linked with the social presence effect in the default mode network
Xie, X., Bertram, T., Zorjan, S., Horvat, M., Sorg, C., & Bratec, S. M. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1128916 · Cited by 4
Chen, X., You, J., Li, J., Ma, H., Zhou, M., & Huang, C. (2025) · Medicine · doi:10.1097/md.0000000000042660 · Cited by 5
Impact of trait anxiety on computational mechanism of approach-avoidance conflict decision
Liu, H., Wang, J., Zhou, S., Zhou, X., Li, H., Dou, H., & Lei, Y. (2025) · Cognition & Emotion · doi:10.1080/02699931.2025.2519665 · Cited by 5
Blandino, K. L., DiLeo, A., Antonoudiou, P., Weiss, G. L., & Maguire, J. L. (2025) · Psychopharmacology · doi:10.1007/s00213-025-06928-2 · Cited by 4
Hu, L., & Stamoulis, C. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae164 · Cited by 6
Ahn, J. S., Hong, H.-J., Lee, J. H., & Park, J. Y. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-06272-3 · Cited by 4
Disrupted resting-state functional connectivity of frontal network in opium use disorder
Taremian, F., Eskandari, Z., Dadashi, M., & Hosseini, S. R. (2021) · Applied Neuropsychology Adult · doi:10.1080/23279095.2021.1938051 · Cited by 4
Sütçübaşı, B., Bayram, A., Metin, B., & Demıralp, T. (2024) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2024.112392 · Cited by 4
Insomnia and stress: the mediating roles of frontoparietal network
He, M., Li, Y., Chen, M., Li, H., Liang, C., Chen, Y., Long, C., Yang, Y., Ye, J., Mao, Y., et al. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00922-6 · Cited by 5
Warthen, K., Welsh, R. C., Sanford, B., Koppelmans, V., Burmeister, M., & Mickey, B. J. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.629488 · Cited by 4
Sarmukadam, K., Bitsika, V., & Sharpley, C. F. (2022) · Advances in Neurodevelopmental Disorders · doi:10.1007/s41252-022-00271-9 · Cited by 4
High and low worriers do not differ in unstimulated resting-state brain connectivity
Weber-Goericke, F., & Muehlhan, M. (2023) · Scientific Reports · doi:10.1038/s41598-023-28333-5 · Cited by 4
The influence of high worry on static and dynamic insular functional connectivity
Zhang, Y., Cai, X., Duan, M., & He, H. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1062947 · Cited by 5
The relationship between negative life events and cortical structural connectivity in adolescents
Sibilia, F., Jost-Mousseau, C., Banaschewski, T., Barker, G. J., Büchel, C., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P. A., et al. (2024) · IBRO Neuroscience Reports · doi:10.1016/j.ibneur.2024.01.012 · Cited by 5
Zhang, X.-H., Shi, J., Zhan, C., Zhang, L., & Chen, H. (2020) · BioMed Research International · doi:10.1155/2020/1693043 · Cited by 4
Developmental Neurobiology of Anxiety and Related Disorders
Cohodes, E. M., & Gee, D. G. (2017) · Oxford University Press eBooks · doi:10.1093/acrefore/9780190264086.013.129 · Cited by 4
Taschereau‐Dumouchel, V., Chiba, T., Koizumi, A., Kawato, M., & Lau, H. C. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.03.021956 · Cited by 4
Ma, X., Wei, M., Ni, H., Li, S., Wang, H., Liu, C., Song, X., & Dong, G. (2024) · Mindfulness · doi:10.1007/s12671-024-02480-w · Cited by 3
Neuroimaging insights into the psychosocial impact of the COVID-19 pandemic: a systematic review
Guo, Y., Pan, N., Zou, Y., Long, Y., Zhang, X., Li, Q., Suo, X., Singh, M. K., Wang, S., & Gong, Q. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03423-2 · Cited by 5
Fu, W., Bai, Y., He, F., Lu, Y., Han, J., & Wang, X. (2025) · Journal of Vestibular Research · doi:10.1177/09574271251407403 · Cited by 3
Fang, C. U. I., Xinming, L. I. A. O., Jiawang, Y. A. N. G., & Liu, J. (2023) · Acta Psychologica Sinica · doi:10.3724/sp.j.1041.2023.00968 · Cited by 3
Pierce, Z. P., & Black, J. M. (2023) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2023.100674 · Cited by 4
RetractedSievertsen, S. A., Zhu, J., Fang, A., & Forsyth, J. K. (2025) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2025.02.005 · Cited by 4
Directional Alpha Frontoparietal Connectivity and Anxiety in Autistic Boys
Bitsika, V., Sarmukadam, K., & Sharpley, C. F. (2023) · Journal of Developmental and Physical Disabilities · doi:10.1007/s10882-023-09893-w · Cited by 3
Han, Y., Yan, H., Shan, X., Li, H., Liu, F., Xie, G., Li, P., & Guo, W. (2023) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-023-01627-5 · Cited by 3
Sacchet, M. D., Keshava, P., Walsh, S. W., Potash, R. M., Li, M., Liu, H., & Pizzagalli, D. A. (2024) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2024.02.011 · Cited by 3
Leehr, E. J., Seeger, F. R., Böhnlein, J., Gathmann, B., Straube, T., Roesmann, K., Junghöfer, M., Schwarzmeier, H., Siminski, N., Herrmann, M. J., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02799-x · Cited by 3
Thomas, P. J., Leow, A., Klumpp, H., Phan, K. L., & Ajilore, O. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab314 · Cited by 3
Ganzel, B. L., & Morris, P. (2016) · Wiley eBooks · doi:10.1002/9781119125556.devpsy215 · Cited by 3
Schultz, D. H., Ito, T., Solomyak, L. I., Chen, R. H., Mill, R. D., Anticevic, A., & Cole, M. W. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/185306 · Cited by 3
Editorial: It’s Complicated: Adrenarcheal and Pubertal Hormonal Influence on Brain Development
Botteron, K. N. (2020) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2020.04.007 · Cited by 3
Chen, J., Yu, T., Liu, C., Yang, Y., Lan, Y., & Li, W. (2023) · Biological Psychology · doi:10.1016/j.biopsycho.2023.108529 · Cited by 2
Zhang, X., Wang, H., Kilpatrick, L. A., Dong, T. S., Gee, G. C., Beltrán‐Sánchez, H., Wang, M. C., Vaughan, A., & Church, A. (2025) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2025.111366 · Cited by 2
Liang, L., Zhu, Y., Zheng, Z., Ma, H., Cai, X., Yang, H., & Wang, F. (2025) · Depression and Anxiety · doi:10.1155/da/7906429 · Cited by 2
Li, L., Jia, S., Guo, Z., Liu, C., Li, S., Liu, W., Su, H., Wu, J., & Wang, X. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.121135 · Cited by 2
Dindarian, S., Chaganti, J. R., Rafiei, N., & Faro, S. H. (2026) · Psychoradiology · doi:10.1093/psyrad/kkag004 · Cited by 2
A scoping review of music-based digital therapeutics for stress, anxiety, and depression
Venkatesan, T., Demetriou, A. M., Hempel, A., & Bowling, D. L. (2026) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2026.1602004 · Cited by 3
Iordan, A. D. (2016) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) · Cited by 2
Translating Big Data to Clinical Outcomes in Anxiety: Potential for Multimodal Integration
Khosravi, P., Zugman, A., Amelio, P., Winkler, A. M., & Pine, D. S. (2022) · Current Psychiatry Reports · doi:10.1007/s11920-022-01385-6 · Cited by 3
Dark, H. E., Harnett, N. G., Goodman, A. M., Wheelock, M. D., Mrug, S., Schuster, M. A., Elliott, M. N., Emery, S. T., & Knight, D. C. (2023) · Neuroscience · doi:10.1016/j.neuroscience.2023.05.005 · Cited by 2
Is Fear Extinction Impairment Central to Psychopathology?
Bryant, R. A. (2023) · Current topics in behavioral neurosciences · doi:10.1007/7854_2023_439 · Cited by 2
Payet, J. M., Baratta, M. V., Christianson, J. P., Lowry, C. A., & Hale, M. W. (2025) · Neuropharmacology · doi:10.1016/j.neuropharm.2025.110406 · Cited by 2
Zhao, Z., Zhang, B., Gan, R., Xie, H., Shao, Y., Xu, K., & Jia, Z. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119469 · Cited by 2
Anxiety and Depression in Patients with Liver Cirrhosis
Shen, Q., Huang, Z., & Zhang, L. (2013) · Radiology · doi:10.1148/radiol.13130735 · Cited by 2
Orru, G., Maurel, P., & Coloigner, J. (2021) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi48211.2021.9434045 · Cited by 2
From Connectivity to Clinical Translation: A Brain Network Model
Block, S. R., Becker, H. C., & Fitzgerald, K. D. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.07.007 · Cited by 2
Neurobiology of Treatment in Pediatric Anxiety Disorders
Baumel, W. T., & Strawn, J. R. (2023) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2023.02.005 · Cited by 2
Comparison of sitting height measurement using three anthropometric measuring techniques.
Saxton, J. L., & Patterson, F. R. (2000) · PubMed · Cited by 2
Montijn, N. D., Gerritsen, L., Son, D. V., & Engelhard, I. M. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.03.474768 · Cited by 2
Sultana, T., Hasan, M. A., & Razi, A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.21.537808 · Cited by 2
Advances in anxiety research: Neurocognitive mechanisms and clinical applications
Luo, Y., Qin, S., Zhu, Y., Li, Z., Zhang, Z., Jin, Z., & Xu, P. (2023) · Chinese Science Bulletin (Chinese Version) · doi:10.1360/tb-2023-0801 · Cited by 1
The impact of incidental anxiety on the neural signature of mentalizing
Chang, L.-A., & Engelmann, J. B. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00096 · Cited by 2
Suo, T., Chen, C., Yin, H., Feng, T., Wang, L., & Wang, M. (2024) · Current Psychology · doi:10.1007/s12144-024-06472-w · Cited by 1
Bledsoe, X., & Gamazon, E. R. (2024) · BMC Bioinformatics · doi:10.1186/s12859-024-05936-x · Cited by 2
Tang, B., Cao, H., Deng, S., Zhang, W., Zhao, Y., Gong, Q., Gu, S., & Lui, S. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.10.067 · Cited by 1
Chen, G. Z., Wu, X., Huang, X., Huang, F., Li, J., Gao, Y., Lin, H., Yuan, J., Liu, X., Yin, X., et al. (2025) · European Journal of Neuroscience · doi:10.1111/ejn.70075 · Cited by 1
The thalamus network seems responsible for the depression and anxiety affecting risk-taking
Bahri, M., Farrahi, H., Mahdavinataj, H., & Batouli, S. A. H. (2025) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2025.112003 · Cited by 1
Cui, Y., Lu, R., Liang, X., Li, J., Zhang, H., Li, D., Guo, Y., Wang, J., Cheng, B., Zheng, Y., et al. (2025) · Academic Radiology · doi:10.1016/j.acra.2025.07.031 · Cited by 1
Hu, R., Yu, M., Li, L., He, H., Wei, S., Ma, J., Gu, Y., & Dai, Z. (2025) · Depression and Anxiety · doi:10.1155/da/5581270 · Cited by 1
Kim, H. E., Kim, B.-H., Cho, Y., Ko, Y., & Kim, J.-J. (2026) · Computers in Human Behavior · doi:10.1016/j.chb.2026.108976 · Cited by 1
Predicting apathy using connectome-based models derived from static and dynamic brain connectivity
Lin, Y., Wang, Y., Xu, P.-F., Luo, Y.-J., & Han, S.-F. (2026) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsag016 · Cited by 1
Hardi, F. A., Keding, T. J., Holt-Gosselin, B., Goldfarb, E. V., & Gee, D. G. (2026) · Psychological Medicine · doi:10.1017/s0033291726104115 · Cited by 1
Anxiety in Parkinson’s Disease
Dissanayaka, N. N. (2021) · Cambridge University Press eBooks · doi:10.1017/9781139087469.009 · Cited by 1
EVALUATION OF ANTI ANXIETY ACTIVITY OF BAMBUSA VULGARIS EXTRACTS IN EXPERIMENTAL ANIMALS
Kaur, D., Bains, N., & Chopra, A. (2019) · International Research Journal of Pharmacy · doi:10.7897/2230-8407.1009274 · Cited by 1
Understanding Functional Neural Networks
Wasserman, T. H., & Wasserman, L. D. (2019) · Springer eBooks · doi:10.1007/978-3-030-26921-0_3 · Cited by 1
Panic Attack as the Sole Manifestation of Epilepsy Localized to the Nondominant Temporal Region
Rini, J. F., & Ochoa, J. G. (2019) · Journal of Neuropsychiatry · doi:10.1176/appi.neuropsych.19070158 · Cited by 1
Li, Y., Zhou, Z., Zhang, Y., Ai, H., Liu, M., Liu, J., Wang, L., Qiu, J., Han, Z. R., Zhang, Z., et al. (2023) · NeuroImage Clinical · doi:10.1016/j.nicl.2023.103514 · Cited by 1
Alterations in cortical thickness of frontoparietal regions in patients with social anxiety disorder
Lee, D., Jung, Y.-H., Kim, S. H., Lee, Y. I., Ku, J. H., Yoon, U., & Choi, S. (2024) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2024.111804 · Cited by 1
Kliamovich, D., Miranda-Domínguez, Ó., Byington, N., Espinoza, A., Flores, A. L., Fair, D. A., & Nagel, B. J. (2024) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2024.07.026 · Cited by 1
Anxiety Disorders in Youth: Separation Anxiety, Social Anxiety, and Generalized Anxiety Disorder
Walkup, J. T., Shechner, T., & Strawn, J. R. (2024) · Springer eBooks · doi:10.1007/978-3-030-51366-5_22 · Cited by 1
Lim, X. Y. H., Luo, L., & Yu, J. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.12.015 · Cited by 1
Early-life neural correlates of behavioral inhibition and anxiety risk
Filippi, C. A., Massera, A., Xing, J., & Agulleiro, L. M. M. (2025) · Neuropsychopharmacology · doi:10.1038/s41386-025-02235-8 · Cited by 3
Halder, T., Michl, P., Flanagin, V. L., & Schenk, T. (2022) · Cognitive Therapy and Research · doi:10.1007/s10608-022-10301-4 · Cited by 1
Soleimani, G., Kuplicki, R., Bodurka, J., Paulus, M. P., & Ekhtiari, H. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.12.439544 · Cited by 1
Yu, G.-C., Wu, X.-R., Liu, Z.-W., Shi, M., Fan, H., Liu, Y., Kuang, N.-Y., Peng, S., Lian, Z., Chen, J.-Y., et al. (2023) · medRxiv · doi:10.1101/2023.09.20.23295830 · Cited by 2
Qu, Y. L., Chopra, S., Qu, S., Cocuzza, C. V., Labache, L., Bauer, C. C. C., Morfini, F., Whitfield, S., Slavich, G. M., Joormann, J., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.25.620373 · Cited by 1
Global effects in fMRI reveal brain markers of state and trait anxietyPreprint
Rogge-Obando, K., Lee, T. M. Y., Martin, C. G., Kaur, K., Li, Y., Harding, J. M., Wang, S., Song, R. W., Yang, R., Guntaka, R., et al. (2025) · medRxiv · doi:10.1101/2025.07.15.25331571 · Cited by 1
Liu, A. T. H., Chen, J., Park, J., Kim, H., & Leong, Y. C. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.03.697513 · Cited by 1
O’Toole, L. J. (2014) · CUNY Academic Works (City University of New York)
Blushing and gaze avoidance in social anxiety disorder : a structural neuroanatomical investigation
der Merwe, V., & Thandiwe, N. (2014) · Open University of Cape Town (University of Cape Town)
Anticipation and attentional control: neural responses associated with anxiety and depression
Infantolino, Z. P. (2013) · Library, Museums and Press - UDSpace (University of Delaware) · doi:10.58088/kjt8-6n36
Discrimination of Auditory Signals in Schizotypy
Ranson, V. (2014) · eCite Digital Repository (University of Tasmania) · doi:10.25959/23222429
Neural correlates of episodic memory formation in children and adults
Tang, L. (2015) · Human Biology
Hatef, B., Yaribeygi, H., Meftahi, G. H., & Shiri, S. (2016) · Health Research Journal · doi:10.20286/hrj-010207
Dissociating variations in attention with schizotypy and anxiety
Granger, K. T. (2017) · Nottingham ePrints (University of Nottingham)
Valencia, H. O. (2016) · UPCommons institutional repository (Universitat Politècnica de Catalunya) · doi:10.5821/dissertation-2117-109351
Il caos tra psiche e materia: l'archetipo come attrattore strano
Floro, R. (2018) · STUDI JUNGHIANI · doi:10.3280/jun2017-046002
Myczkowski, M. L. (2018) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.5.2018.tde-02082018-100807
Hilbert, K., Lueken, U., & Beesdo‐Baum, K. (2019) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2018.11.739
Etiological Factors: Basic Neuroscience
Cohodes, E. M., & Gee, D. G. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-813004-9.00004-9 · Cited by 1
The Golden Standards of Mental Health & Modern Resolutions of the Courts
Didone, C., Grist, J., & Stamatakos, P. (2021)
Learning Uncertainty: The Free Energy Principle in Anxiety FormationPreprint
McGovern, H. T., Foe, A. D., Leptourgos, P., Corlett, P. R., Bandara, K. H., Biddell, H., & Hutchinson, B. T. (2021) · doi:10.31234/osf.io/8zsv3
Karzig, N. (2021) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-204788
Metadata
- Authors
- Sylvester, C. M., Corbetta, M., Raichle, M. E., Rodebaugh, T. L., Schlaggar, B. L., Sheline, Y. I., Zorumski, C. F., & Lenze, E. J.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Sylvester, C.M.
- ORCID
- Venue
- Trends in Neurosciences
- Publisher
- Elsevier BV
- Published
- 2012-09
- Volume
- 35
- Issue
- 9
- Pages
- 527-535
- ISSN
- 0166-2236 (ISSN-L)
- PMC
- PMC3432139
- OpenAlex
- W2068673705
- Cited by
- 579
- References
- 110
- Citations by year
- 2026: 48 · 2025: 43 · 2024: 52 · 2023: 58 · 2022: 36 · 2021: 55 · 2020: 43 · 2019: 38 · 2018: 46 · 2017: 35 · 2016: 46 · 2015: 25 · 2014: 33 · 2013: 16 · 2012: 2
- FWCI
- 1.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Trends in Neurosciences (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- Funders
- National Institutes of Health (5r01mh077791-07)
- U.S. Public Health Service (K24 65421)
- National Institute on Alcohol Abuse and Alcoholism (R01AA017413, AA017413)
- National Institute of Mental Health (R21MH090308, MH07791, R01MH096482, MH090308, R01-MH-077791, K24MH079510)
- National Institute of Neurological Disorders and Stroke (P50NS006833, NS 06833)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD061117, 5R01HD61117-6)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- functional brain networks, anxiety disorders, trait anxiety, cingulo-opercular network, ventral attention network, frontoparietal network, default mode network, network dysfunction, major depressive disorder, treatment goals
- MeSH terms
- Anxiety, Anxiety Disorders, Brain, Brain Diseases, Humans, Models, Neurological, Nerve Net
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