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 301–400 of 577
Methylphenidate modulates interactions of anxiety with cognition
Gaillard, C., Lago, T. R., Gorka, A. X., Balderston, N. L., Fuchs, B. A., Reynolds, R. C., Grillon, C., & Ernst, M. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01621-2 · Cited by 14
Markett, S., Montag, C., & Reuter, M. (2016) · Neuroimaging Personality, Social Cognition, and Character · doi:10.1016/b978-0-12-800935-2.00005-1 · Cited by 15
McIntosh, R. C., Hoshi, R. A., & Timpano, K. R. (2020) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2020.103427 · Cited by 14
Kowalski, J., Wierzba, M., Wypych, M., Marchewka, A., & Dragan, M. (2020) · Behaviour Research and Therapy · doi:10.1016/j.brat.2020.103693 · Cited by 15
A 7-Tesla MRI study of the periaqueductal gray: resting state and task activation under threat
Weis, C., Bennett, K. P., Huggins, A. A., Parisi, E. A., Gorka, S. M., & Larson, C. L. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab085 · Cited by 13
Siripongsatian, D., Kunawudhi, A., Promteangtrong, C., Kiatkittikul, P., Jantarato, A., Choolam, A., Ponglikitmongkol, K., Siripongboonsitti, T., Kaeowirun, T., & Chotipanich, C. (2022) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000004041 · Cited by 14
He, M., Ping, L., Chu, Z., Zeng, C., Shen, Z., & Xu, X. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.856366 · Cited by 14
Kennedy, M. F., Mohamed, A. Z., Schwenn, P., Beaudequin, D. A., Shan, Z., Hermens, D. F., & Lagopoulos, J. (2022) · Brain Imaging and Behavior · doi:10.1007/s11682-022-00673-2 · Cited by 22
Nhu, N. T., Chen, D. Y. T., & Kang, J. (2022) · Biomedicines · doi:10.3390/biomedicines10123002 · Cited by 15
Unbalanced amygdala communication in major depressive disorder
Wen, X., Han, B., Li, H., Dou, F., Wei, G., Hou, G., & Wu, X. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.02.091 · Cited by 15
Becker, H. C., Norman, L. J., Yang, H., Monk, C. S., Phan, K. L., Taylor, S. F., Liu, Y., Mannella, K. A., & Fitzgerald, K. D. (2021) · Psychological Medicine · doi:10.1017/s0033291721003044 · Cited by 15
Klimova, A., Breukelaar, I. A., Bryant, R. A., & Korgaonkar, M. S. (2022) · Human Brain Mapping · doi:10.1002/hbm.26101 · Cited by 14
Abnormalities of the Default Mode Network Functional Connectivity in Patients with Insomnia Disorder
Xia, G., Hu, Y., Chai, F., Wang, Y., & Liu, X. (2022) · Contrast Media & Molecular Imaging · doi:10.1155/2022/9197858 · Cited by 13
Ravi, S., Camacho, M. C., Fleming, B., Scudder, M. R., & Humphreys, K. L. (2023) · Biological Psychology · doi:10.1016/j.biopsycho.2023.108717 · Cited by 15
Hilbert, K., Böhnlein, J., Meinke, C., Chavanne, A. V., Langhammer, T., Stumpe, L., Winter, N. R., Leenings, R., Adolph, D., Arolt, V., et al. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120639 · Cited by 12
Unveiling Frequency-Specific Microstate Correlates of Anxiety and Depression Symptoms
Xue, S., Shen, X., Zhang, D., Sang, Z., Long, Q., Song, S., & Wu, J. Q. (2024) · Brain Topography · doi:10.1007/s10548-024-01082-y · Cited by 13
Toyoshima, K., Ichiki, M., Inoue, T., Masuya, J., Fujimura, Y., Higashi, S., & Kusumi, I. (2021) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s303751 · Cited by 13
Neural correlates of improvements in personality and behavior following a neurological event
King, M. L., Manzel, K. W., Bruss, J., & Tranel, D. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.11.023 · Cited by 14
Tabak, B. A., Young, K. S., Torre, J. B., Way, B. M., Burklund, L. J., Eisenberger, N. I., Lieberman, M. D., & Craske, M. G. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00011 · Cited by 13
Karunakaran, K. B., Amemori, S., Balakrishnan, N., Ganapathiraju, M. K., & Amemori, K. (2021) · Scientific Reports · doi:10.1038/s41598-021-97418-w · Cited by 11
Zhu, X., Lazarov, A., Dolan, S., Bar-Haim, Y., Dillon, D. G., Pizzagalli, D. A., & Schneier, F. (2022) · Psychological Medicine · doi:10.1017/s0033291721005171 · Cited by 12
Wen, X., Zhang, J., Wei, G., Wu, M., Zhang, Y., Zhang, Q., & Hou, G. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.10.009 · Cited by 13
King, F., & Hammond, R. (2021) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.20200047 · Cited by 14
The Biological Bridge Between Behavioral Inhibition and Psychopathology
Sylvester, C. M., & Pine, D. S. (2018) · Springer eBooks · doi:10.1007/978-3-319-98077-5_14 · Cited by 12
Self-citationFucci, E., Abdoun, O., & Antoine Lutz, A. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.04.010 · Cited by 12
Beckmann, K. M., Wang‐Leandro, A., Richter, H., Bektas, R. N., Steffen, F., Dennler, M., Carrera, I., & Haller, S. (2021) · Scientific Reports · doi:10.1038/s41598-021-03349-x · Cited by 12
Serotonin and the neurobiology of anxious states
Lawther, A. J., Hale, M. W., & Lowry, C. A. (2020) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-444-64125-0.00029-3 · Cited by 17
Picado, M., Carmona, S., Hoekzema, E. A., Pailhez, G., Bergé, D., Mané, A., Fauquet, J., Hilferty, J., Moreno‐Alcázar, A., Cortizo, R., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0119847 · Cited by 13
Disruptions of salience network during uncertain anticipation of conflict control in anxiety
Han, S., Gao, J., Hu, J., Ye, Y., Huang, H., Liu, J., Liu, M., Ai, H., Qiu, J., Luo, Y., et al. (2023) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2023.103721 · Cited by 14
Electrophysiological signatures of anxiety in Parkinson’s disease
Yassine, S., Almarouk, S., Gschwandtner, U., Auffret, M., Fuhr, P., Vérin, M., & Hassan, M. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02745-x · Cited by 11
Mapping Lesion-Related Human Aggression to a Common Brain Network
Peng, S., Schaper, F. L. W. V. J., Cohen‐Zimerman, S., Miller, G. N., Jiang, J., Rouhl, R. P. W., Temel, Y., Siddiqi, S., Grafman, J. H., Fox, M., et al. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.09.022 · Cited by 12
Youth Generalized Anxiety and Brain Activation States During Socioemotional Processing
Camacho, M. C., Schwarzlose, R. F., Perino, M. T., Labonte, A. K., Koirala, S., Barch, D. M., & Sylvester, C. M. (2024) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2024.4105 · Cited by 11
Self-citationComorbidity of ADHD and anxiety disorders
Krone, B., & Newcorn, J. H. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781139035491.010 · Cited by 12
Networks of phobic fear: Functional connectivity shifts in two subtypes of specific phobia
Stefanescu, M. R., Endres, R. J., Hilbert, K., Wïttchen, H., & Lueken, U. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.10.031 · Cited by 13
Kordee, N. S. Y., Amponsah‐Tawiah, K., Adu, I. N., & Ashie, A. A. (2018) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v8-i9/4581 · Cited by 11
Wen, X., Dong, L., Chen, J., Xiang, J., Yang, J., Li, H., Liu, X., Luo, C., & Yao, D. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01435 · Cited by 10
A psychometric comparison of anxiety-relevant attention measures
Evans, T. C., Walukevich‐Dienst, K., van Dyk, I. S., & Britton, J. C. (2018) · Anxiety Stress & Coping · doi:10.1080/10615806.2018.1489536 · Cited by 13
Saggar, M., Bruno, J. L., Gaillard, C., Claudino, L., & Ernst, M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119686 · Cited by 10
Xu, H., Dou, Z., Luo, Y., Yang, L., Xiao, X., Zhao, G., Lin, W., Xia, Z., Zhang, Q., Zeng, F., et al. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.08.016 · Cited by 12
Nusslock, R., Kogan, S. M., Yu, T., Armstrong, C. C., Chen, E., Miller, G. E., Brody, G. H., & Sweet, L. H. (2024) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2024.06.018 · Cited by 10
Sastry, N. C., & Banerjee, A. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02929-5 · Cited by 10
Fu, K., Xu, S., Zhang, Z., Liu, D. C., Xu, T., Zhang, Y., Zhou, F., Zhang, X., Lan, C., Wang, J., et al. (2025) · Advanced Science · doi:10.1002/advs.202503251 · Cited by 13
Horowitz‐Kraus, T., Woodburn, M., Rajagopal, A., Versace, A., Kowatch, R. A., Bertocci, M. A., Bebko, G. M., Almeida, J., Perlman, S. B., Travis, M. J., et al. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.02.034 · Cited by 12
Gonsalves, M. A., Beck, Q. M., Fukuda, A. M., Tirrell, E., Kokdere, F., Kronenberg, E. F., Iadarola, N. D., Hagberg, S., Carpenter, L. L., & Barredo, J. (2022) · Neuromodulation Technology at the Neural Interface · doi:10.1016/j.neurom.2021.10.007 · Cited by 11
Network analysis reveals abnormal functional brain circuitry in anxious dogs
Xu, Y., Christiaen, E., Witte, S. D., Chen, Q., Peremans, K. Y., Saunders, J. H., Vanhove, C., & Baeken, C. (2023) · PLoS ONE · doi:10.1371/journal.pone.0282087 · Cited by 11
Distinguishable brain networks relate disease susceptibility to symptom expression in schizophrenia
Liu, Z., Zhang, J., Zhang, K., Zhang, J., Li, X., Cheng, W., Li, M., Zhao, L., Deng, W., Guo, W., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24190 · Cited by 9
Provenzano, J., Bastiaansen, J. A., Verduyn, P., Oldehinkel, A. J., Fossati, P., & Kuppens, P. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00501 · Cited by 9
Kim, S.-W., Kim, M.-K., Kim, B., Choi, T., & Lee, S.-H. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.09.032 · Cited by 9
Petrican, R., Graham, K. S., & Lawrence, A. D. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118177 · Cited by 11
Hou, L., Zhang, W., Huang, Q., & Zhou, R. (2022) · Biological Psychology · doi:10.1016/j.biopsycho.2022.108409 · Cited by 9
Discrimination Exposure, Neural Reactivity to Stress, and Psychological Distress
Grey, D. K., Purcell, J. B., Buford, K. N., Schuster, M. A., Elliott, M. N., Emery, S. T., Mrug, S., & Knight, D. C. (2024) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20220884 · Cited by 9
Yao, Y., Ti, S. U., Wang, X., Hu, B., Zhang, R., Zhou, F., & Feng, T. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhae503 · Cited by 10
Ligon, G. A., Crombie, K. M., Herring, M. P., O’Connor, P. J., & Fedewa, M. V. (2025) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.70137 · Cited by 10
Goldstein‐Piekarski, A. N., & Williams, L. M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-813333-0.00021-4 · Cited by 10
Positive future thinking without task-relevance increases anxiety and frontal stress regulation
Montijn, N. D., Gerritsen, L., Son, D. V., & Engelhard, I. M. (2023) · Biological Psychology · doi:10.1016/j.biopsycho.2023.108620 · Cited by 13
Westwater, M. L., Mallard, T. T., Warrier, V., Bethlehem, R. A. I., Scheinost, D., Grillon, C., Fletcher, P. C., Seidlitz, J., & Ernst, M. (2023) · Nature Mental Health · doi:10.1038/s44220-023-00101-4 · Cited by 11
Chaudhary, S., Hu, S., Hu, K., Dominguez, J. C., Chao, H. H., & Li, C. R. (2023) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2023.100646 · Cited by 14
Lucia, S., Forte, R., Boccacci, L., Grimandi, L., Bittner, M., Aydin, M., Trentin, C., Tocci, N., & Russo, F. D. (2023) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbad170 · Cited by 9
Chen, H., Chen, J., & Lan, J. (2024) · Neuroscience Letters · doi:10.1016/j.neulet.2024.137805 · Cited by 9
Fear-induced brain activations distinguish anxious and trauma-exposed brains
Wen, Z., Marin, M., Blackford, J. U., Chen, Z. S., & Milad, M. R. (2021) · Translational Psychiatry · doi:10.1038/s41398-020-01193-7 · Cited by 10
Fear of negative evaluation is associated with altered brain function in nonclinical subjects
Kajimura, S., Kochiyama, T., Nakai, R., Abe, N., & Nomura, M. (2015) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2015.10.001 · Cited by 9
Gunther, K. E., Petrie, D. J., Pérez‐Edgar, K. E., & Geier, C. F. (2023) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-023-01025-4 · Cited by 8
Abnormal large‐scale brain functional network dynamics in social anxiety disorder
Zhang, X., Wu, B., Yang, X., Kemp, G. J., Wang, S., & Gong, Q. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14904 · Cited by 7
Motomura, Y., Ayaka, F., Eto, S., Hirabayashi, N., Gondo, M., Izuno, S., Togao, O., Yamashita, K., Kikuchi, K., Sudo, N., et al. (2023) · Journal of PHYSIOLOGICAL ANTHROPOLOGY · doi:10.1186/s40101-023-00336-1 · Cited by 8
Beckmann, F., Gruber, H., Seidenbecher, S., Schirmer, S. T., Metzger, C. D., Tozzi, L., & Frodl, T. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16249 · Cited by 8
He, C., Wang, Q., Fan, D., Liu, X., Bai, Y., Zhang, H., Zhang, H., Yao, H., Zhang, Z., & Xie, C. (2024) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2024.104025 · Cited by 8
Schroder, H. S., Glazer, J. E., Bennett, K. P., Moran, T. P., & Moser, J. S. (2016) · Biological Psychology · doi:10.1016/j.biopsycho.2016.03.013 · Cited by 9
Higher-order brain regions show shifts in structural covariance in adolescent marmosets
Quah, S. K. L., McIver, L. B., Bullmore, E. T., Roberts, A., & Sawiak, S. J. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab470 · Cited by 7
Frontal theta activity during working memory in test anxiety
Shi, Z., Gao, X., & Zhou, R. (2015) · Neuroreport · doi:10.1097/wnr.0000000000000334 · Cited by 8
Roelofs, E. F., Bas‐Hoogendam, J. M., van Ewijk, H., Ganjgahi, H., van der Werff, S. J. A., Barendse, M. E. A., Westenberg, P. M., Vermeiren, R. R. J. M., & van der Wee, N. J. A. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102493 · Cited by 9
Rotărescu, V. S., Matei, D. B., Mircea, I. A., Mirescu, A. M., Nedelescu, B. G., Nedelea, D. G., Neagu, A., Necșulescu, A. G., Oteșanu, A. G., & Tudor, L. C. (2021) · Research in Psychotherapy Psychopathology Process and Outcome · doi:10.4081/ripppo.2020.496 · Cited by 9
Tsai, Y., Lu, H.-J., Chang, C.-F., Liang, W., Muggleton, N. G., & Juan, C.-H. (2017) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-017-0526-8 · Cited by 8
Dolcos, F., Denkova, E., Iordan, A. D., Shafer, A. T., Fernández, G., & Dolcos, S. M. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1483373 · Cited by 11
Cortical thickness in parietal regions link perseverative thinking with suicidal ideation
Sheehan, A. E., HEILNER, E. A., Bounoua, N., Miglin, R., Spielberg, J. M., & Sadeh, N. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.03.019 · Cited by 10
Peña, J., Muthalib, M., Beaty, R. E., Sampedro, A., Ibarretxe‐Bilbao, N., Zubiaurre‐Elorza, L., García‐Guerrero, M. A., Cortazar, I., Niso, M., & Ojeda, N. (2023) · Creativity Research Journal · doi:10.1080/10400419.2023.2219953 · Cited by 7
Zhong, S., Lin, J.-P., Zhang, L., Wang, S., Kemp, G. J., Li, L., & Gong, Q.-Y. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03091-8 · Cited by 6
Resting state connectivity patterns associated with trait anxiety in adolescence
Baggio, T., Grecucci, A., Crivello, F., Joliot, M., & Tzourio, C. (2025) · Scientific Reports · doi:10.1038/s41598-025-94790-9 · Cited by 8
Baumel, W. T., Mills, J. A., Schroeder, H. K., Specht, A. M., Rothenberg, R., Peris, T. S., & Strawn, J. R. (2022) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2022.0012 · Cited by 7
Novel mechanism-based treatments for pediatric anxiety and depressive disorders
Sylvester, C. M., Luby, J. L., & Pine, D. S. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01709-x · Cited by 7
Self-citationZhang, N., Chen, S., Jiang, K., Ge, W. H., Im, H., Guan, S., Li, Z., Wei, C., Wang, P., Zhu, Y., et al. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae121 · Cited by 7
Sagliano, L., Vela, M., Trojano, L., & Conson, M. (2019) · Cortex · doi:10.1016/j.cortex.2019.08.005 · Cited by 7
Sylvester, C. M., & Luby, J. L. (2024) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20240124 · Cited by 7
Self-citationKim, H. J., Lee, D., Ri, H.-S., Choi, J., Choi, J., Rhee, S. J., Baik, J., Hwang, B., Park, G., Cha, J., et al. (2023) · International Journal of Medical Sciences · doi:10.7150/ijms.89287 · Cited by 6
Barron, D. S., Saltoun, K., Kiesow, H., Fu, M., Cohen-Tanugi, J., Geha, P., Scheinost, D., Isaac, Z., Silbersweig, D., & Bzdok, D. (2024) · BMC Medicine · doi:10.1186/s12916-024-03807-z · Cited by 6
He, M., Guo, J., Yu, S., Lian, H., Zhan, R., Luo, R., Shi, Z., Zhuang, Z., & Cai, W. (2025) · BMC Psychology · doi:10.1186/s40359-025-02376-x · Cited by 8
Multimodal assessment of acute stress dynamics using an aversive video paradigm (AVP)
Roy, S., Fan, Y., Mosayebi-Samani, M., Claus, M., Mutlu, N., Kleinsorge, T., & Nitsche, M. A. (2025) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2025.100607 · Cited by 6
Jiang, J., Li, W., Cui, H., Zhu, Z., Zhang, L., Hu, Q., Li, H., Wang, Y., Pang, J., Wang, Y., et al. (2023) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2023.111656 · Cited by 6
Yang, H., Zhao, X., Wang, T., Zhou, Z., Cheng, Z., Zhao, X., & Cao, Y. (2023) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5979 · Cited by 6
Azriel, O., Arad, G., Tik, N., Weiser, M., Bloch, M., Garber, E., Lazarov, A., Pine, D. S., Tavor, I., & Bar‐Haim, Y. (2024) · Psychological Medicine · doi:10.1017/s0033291724001521 · Cited by 7
Error-related Alpha Suppression: Scalp Topography and (Lack of) Modulation by Modafinil
Schroder, H. S., Iturra-Mena, A. M., Breiger, M., Linton, S. R., Robble, M. A., Kangas, B. D., Bergman, J., Nickels, S., Vitaliano, G. D., Der‐Avakian, A., et al. (2022) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01836 · Cited by 6
Millman, Z. B., Schiffman, J. E., Gold, J. M., Akouri-Shan, L., Demro, C., Fitzgerald, J., Rouhakhtar, P. R., Klaunig, M. J., Rowland, L. M., & Waltz, J. A. (2022) · Schizophrenia Bulletin Open · doi:10.1093/schizbullopen/sgac039 · Cited by 8
Zhang, Y., Shao, J., Wang, X., Pei, C., Zhang, S., Yao, Z., & Lü, Q. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.09.071 · Cited by 6
Burrows, C. A., Lasch, C., Gross, J., Girault, J. B., Rutsohn, J., Wolff, J. J., Swanson, M. R., Lee, C.-M., Dager, S. R., Cornea, E. A., et al. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101333 · Cited by 7
Stress, Trauma, and Memory in PTSD
Nursey, J., & Phelps, A. J. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800951-2.00020-0 · Cited by 6
A neural signature for the subjective experience of threat anticipation under uncertaintyPreprint
Liu, X., Jiao, G., Zhou, F., Kendrick, K. M., Yao, D., Xiang, S., Jia, T., Zhang, X., Zhang, J., Feng, J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.20.558716 · Cited by 6
The Cognitive–Affective Social Processing and Emotion Regulation (CASPER) model
Camacho, M. C., Deshpande, E., & Perino, M. T. (2025) · Neuropsychopharmacology · doi:10.1038/s41386-025-02224-x · Cited by 8
Setogawa, T., Matsumoto, J., Nishijo, H., & Nishimaru, H. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1462961 · Cited by 9
Anxious–depressive symptoms and sleep disturbances across the Alzheimer disease spectrum
Chai, Y., Kojori, E. S., Saykin, A. J., & Yu, M. (2025) · Nature Mental Health · doi:10.1038/s44220-025-00416-4 · Cited by 8
The neural basis underlying procrastination: a large-scale study of brain networks
Ti, S. U., Guo, Y., Chen, Z., Zhang, S., Huang, X., & Feng, T. (2018) · Scientia Sinica Vitae · doi:10.1360/n052018-00158 · Cited by 5
Drysdale, A. T., Myers, M. J., Harper, J., Guard, M., Manhart, M., Yu, Q., Perino, M. T., Luby, J. L., Barch, D. M., Pine, D. S., et al. (2023) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2023.0020 · Cited by 5
Self-citation
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