The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
Default mode network dissociation in depressive and anxiety states
Open accessAbstract
The resting state brain networks, particularly the Default Mode Network (DMN), have been found to be altered in several psychopathological conditions such as depression and anxiety. In this study we hypothesized that cortical areas of the DMN, particularly the anterior regions--medial prefrontal cortex and anterior cingulate cortex--would show an increased functional connectivity associated with both anxiety and depression. Twenty-four healthy participants were assessed using Hamilton Depression and Anxiety Rating Scales and completed a resting-state functional magnetic resonance imaging scan. Multiple regression was performed in order to identify which areas of the DMN were associated with anxiety and depression scores. We found that the functional connectivity of the anterior portions of DMN, involved in self-referential and emotional processes, was positively correlated with anxiety and depression scores, whereas posterior areas of the DMN, involved in episodic memory and perceptual processing were negatively correlated with anxiety and depression scores. The dissociation between anterior and posterior cortical midline regions, raises the possibility of a functional specialization within the DMN in terms of self-referential tasks and contributes to the understanding of the cognitive and affective alterations in depressive and anxiety states.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“However, recent research suggests that a focus on overall DMN connectivity may be overly simplistic, and that instead, connectivity between anterior portions of the DMN may be positively correlated with anxiety and depression symptoms while connectivity between posterior nodes of the DMN may be negatively correlated with depression and anxiety symptoms (Coutinho et al., 2016).”
From Changes in functional connectivity following treatment with emotion regulation therapy (2019) · cites this paper as Coutinho et al., 2016
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900
Proceedings of the National Academy of Sciences of the United States of America
Dowling, J. E., & Wald, G. (2009) · Nutrition Reviews · doi:10.1111/j.1753-4887.1981.tb06752.x · Cited by 17,937
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319
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 assessment of anxiety states by rating
HAMILTON, M. (1959) · British Journal of Medical Psychology · doi:10.1111/j.2044-8341.1959.tb00467.x · Cited by 11,455
Philosophical transactions of the Royal Society of London. B
Press, H. (1886) · Cited by 10,087
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
Development of a Rating Scale for Primary Depressive Illness
Hamilton, M. (1967) · British Journal of Social and Clinical Psychology · doi:10.1111/j.2044-8260.1967.tb00530.x · Cited by 8,410
(1975) · Medical Entomology and Zoology · Cited by 7,245
Cited by
Sorted by citations
Items 101–200 of 203
Lin, E. R.-H., Veenker, F., Manza, P., Yonga, M.-V., Abey, S. K., Wang, G., & Volkow, N. D. (2024) · Brain Sciences · doi:10.3390/brainsci14121285 · Cited by 15
Faustino, B. (2021) · Applied Neuropsychology Adult · doi:10.1080/23279095.2021.1883615 · Cited by 14
Hou, Z., Kong, Y., Yin, Y., Zhang, Y., & Yuan, Y. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110038 · Cited by 13
The Psychedelic Renaissance: a Convergence of Indigenous Knowledge and Science
Peck, R. (2021) · doi:10.15760/honors.1171 · Cited by 14
Park, B., Lee, S., Jang, Y., & Park, H. Y. (2024) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2024.02.017 · Cited by 12
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
Sone, D., Galovic, M., Myers, J., Leonhardt, G., Rabiner, I., Duncan, J. S., Koepp, M. J., & Foong, J. (2022) · Epilepsia · doi:10.1111/epi.17463 · Cited by 11
Connectomic analysis of Alzheimer’s disease using percolation theory
Kotlarz, P. L., Nino, J. C., & Febo, M. (2021) · Network Neuroscience · doi:10.1162/netn_a_00221 · Cited by 12
Saggar, M., Bruno, J. L., Gaillard, C., Claudino, L., & Ernst, M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119686 · Cited by 10
Wang, S., Kang, D. W., Um, Y. H., Kim, S., Lee, C. U., & Lim, H. K. (2023) · Brain Sciences · doi:10.3390/brainsci13071111 · Cited by 10
SARS-CoV-2, Trait Anxiety, and the Microbiome
Büttiker, P., Weissenberger, S., Stefano, G. B., Kream, R. M., & Ptáček, R. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.720082 · Cited by 10
Wilson, A. D., Gicas, K. M., Stevens, W. D., Sergio, L. E., & Wojtowicz, M. A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0253261 · Cited by 9
Brain Health in Sleep Disorders
Ji, K., & Yun, C. (2024) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2024.10.004 · Cited by 10
Grecucci, A., Monachesi, B., & Messina, I. (2024) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsae018 · Cited by 9
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
Enhancing resilience: An interpretative phenomenological analysis of The Awe Project
Thompson, J. (2022) · Journal of Community Safety and Well-Being · doi:10.35502/jcswb.265 · Cited by 8
Zhi, M., Hou, Z., Zhang, Y., Yue, Y., Li, L., & Yuan, Y. (2018) · Neural Plasticity · doi:10.1155/2018/9023604 · Cited by 7
Shen, Z., Yu, L., Zhao, Z., Jin, K., Pan, F., Hu, S., Li, S., Xu, Y., Xu, D., & Huang, M. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.596157 · Cited by 7
Identify potential neuroimaging-based scalp acupuncture and neuromodulation targets for anxiety
Cao, J., Huang, Y., Hodges, S., Meshberg, N., & Kong, J. (2021) · Brain Science Advances · doi:10.26599/bsa.2021.9050011 · Cited by 7
Fujikane, D., Ohi, K., Nemoto, K., Horibe, Y., Ogawa, Y., Taguchi, R., Toba, R., & Shioiri, T. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.09.041 · Cited by 8
Disrupted Brain Functional Status in Patients with Reversible Cerebral Vasoconstriction Syndrome
Wu, C.-H., Hsu, T.-W., Lai, K., Wang, Y.-F., Fuh, J., Wu, H.-M., Lirng, J., Wang, S.-J., & Chen, S.-P. (2023) · Annals of Neurology · doi:10.1002/ana.26724 · Cited by 3
Thomas, P. J., Leow, A., Klumpp, H., Phan, K. L., & Ajilore, O. (2023) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2023.06.008 · Cited by 8
Zhang, 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
Tripathi, V., & Somers, D. C. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.02.19.529136 · Cited by 7
Luo, Z., Li, W., Hu, Z., Lu, H., Wang, C., Lan, X., Mai, S., Liu, G., Zhang, F., Chen, X., et al. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.09.023 · Cited by 6
Ye, S., Dave, A., Salami, A., & Ziaei, M. (2025) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2025.09.004 · Cited by 7
Tashjian, S. M., Cussen, J., Deng, W., Zhang, B., & Mobbs, D. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3002986 · Cited by 6
Jahed, S., Daneshvari, N. O., Liang, A. L., Richey, L. N., Bryant, B. R., Krieg, A. D., Bray, M. J. C., Pradeep, T., Luna, L., Trapp, N. T., et al. (2021) · Journal of the Academy of Consultation-Liaison Psychiatry · doi:10.1016/j.jaclp.2021.09.001 · Cited by 6
Neural Network Modulation of Ayahuasca: A Systematic Review of Human Studies
Santos, G. H. D. M., Rodrigues, L. S., Rocha, J. M., Rossi, G. N., Oña, G., Bouso, J. C., Hallak, J. E. C., & SANTOS, R. G. D. (2023) · Psychoactives · doi:10.3390/psychoactives2010006 · Cited by 7
Prenatal fluoxetine impairs non-hippocampal but not hippocampal memory in adult male rat offspring
Moraga‐Amaro, R., Díaz-Galarce, R., Donoso-Ramos, J. P., Ugalde, V., Linsambarth, S., Doorduin, J., de Vries, E. F. J., Ampuero, E., Peña, F., Pacheco, R., et al. (2021) · Neuropharmacology · doi:10.1016/j.neuropharm.2021.108751 · Cited by 6
Hashimoto, K., Iwayama, S., Sano, Y., Tatara, T., & Hirose, M. (2015) · Journal of Anesthesia · doi:10.1007/s00540-015-2032-x · Cited by 6
Jeong, H., Luo, T., Kang, M., Garvey, W. F., Blankenau, G., Suk, J.-W., Tarzaben, M., & Hwang, S. (2024) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2024.111917 · Cited by 6
Ayahuasca-inspired DMT/HAR formulation reduces brain differentiation between self and other faces
Suay, D., Aicher, H., Kometer, M., Mueller, M. J., Caflisch, L., Hempe, A., Steinhart, C. P., Elsner, C., Wicki, I. A., Müller, J., et al. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121247 · Cited by 5
Aksoy, U. M., Aksoy, Ş. G., & Semerci, B. (2022) · Nöro Psikiyatri Arşivi · doi:10.29399/npa.27804 · Cited by 5
Pasculli, G., Busan, P., Jackson, E. S., Alm, P. A., Gregorio, D. D., Maguire, G. A., Goodwin, G. M., Gobbi, G., Erritzøe, D., & Carhart-Harris, R. L. (2024) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2024.1402549 · Cited by 6
Lees, T., Woronko, S. E., Li, M., Scott, J. N., Kuhn, M., Esfand, S. M., Bogdanov, M., Boyle, B. W., Linton, S. R., Borchers, L. R., et al. (2025) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2025.100602 · Cited by 4
A Fragmented Mind: Altered States of Consciousness and Spirit Possession Between Rituals and Therapy
Leo, D. (2025) · Integrative Psychological and Behavioural Science · doi:10.1007/s12124-025-09929-0 · Cited by 3
Nutrition and Mental Health: Advances in Nutritional Cognitive Neuroscience
Wu, J., & Barbey, A. K. (2026) · Annual Review of Food Science and Technology · doi:10.1146/annurev-food-052824-043906 · Cited by 6
Liu, M., Wang, X., Ma, Y., & Xu, L. (2021) · The Rangeland Journal · doi:10.1071/rj20042 · 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
Chu, C., Chang, C., Pan, C., Chiang, Y., Kuo, H.-Y., Hsu, T., Chen, S., & Chen, C. (2024) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2023.12.002 · Cited by 4
Zhang, H., Sachdev, P. S., Thalamuthu, A., Yong He, A., Xia, M., Kochan, N. A., Crawford, J. D., Trollor, J. N., Brodaty, H., & Wen, W. X. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9843-y · Cited by 4
Zhang, Q., Zhang, W., Zhang, P., Zhao, Z., Yang, L., Zheng, F., Zhang, L., Huang, G., Zhang, J., Zheng, W., et al. (2022) · International Journal of Neuroscience · doi:10.1080/00207454.2022.2130295 · Cited by 4
A Neural Signature of the Bias Toward Self-Focus
Geisler, D., & Meyer, M. L. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.0037-25.2025 · Cited by 4
Imagerie cérébrale et déconstruction de l’esprit
de Beaurepaire, R. (2016) · L Évolution Psychiatrique · doi:10.1016/j.evopsy.2016.01.007 · Cited by 3
Kınay, D., Ulaşoğlu-Yıldız, Ç., Kurt, E., Eryürek, K., Demıralp, T., & Coşkun, M. (2021) · Psychiatry and Clinical Psychopharmacology · doi:10.5152/pcp.2021.20169 · Cited by 3
Schneider, A. E., Zeiler, M. D., Kopp, K., Wagner, G., & Karwautz, A. F. K. (2023) · Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie · doi:10.1024/1422-4917/a000930 · Cited by 3
Faustino, B., & da Fonseca, I. B. (2024) · Psychological Reports · doi:10.1177/00332941241226685 · Cited by 3
The Therapeutic Potential of Psychedelics on Reducing Rumination: A Mini-Review
Ramarushton, B., Blumenthal, H., Ryals, A. J., Boals, A., & Thompson, L. (2024) · Psychedelic Medicine · doi:10.1089/psymed.2024.0009 · Cited by 3
Reward processing disruption in anxiety: fMRI evidence of vulnerability to frustration non-reward
Wan, J., Zhou, Y., Zhang, X., Li, H., & Lei, Y. (2025) · Psychological Medicine · doi:10.1017/s0033291725101840 · Cited by 2
Hong, S. G., Lee, D., Kim, T., Kim, M., Kang, D. H., & Choi, S.-H. (2026) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2026.111614 · Cited by 2
Zhou, X., Wu, S., Wang, K., Chen, L., Wei, Z., Li, T., Hua, Z., Huang, Y.-S., Xia, Q., Lv, Z., et al. (2026) · BMC Complementary Medicine and Therapies · doi:10.1186/s12906-026-05343-0 · Cited by 2
Aesthetic processing in neurodiverse populations
Buck, Z., Michalchyshyn, E., Nishat, A., Lisi, M., Huang, Y., Liu, H., Makarenka, A., Plyngam, C. P., Windle, A., Yang, Z., et al. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105878 · Cited by 3
Shanmugarajah, M. M., Pal, D., Mishra, S., Goyal, M. K., & Mishra, P. (2025) · Applied Neuropsychology Adult · doi:10.1080/23279095.2025.2500654 · Cited by 3
The role of anticipation and neuroticism in developmental stuttering
Palombo, F., Gado, F. D., Rugolo, F., Lasaponara, S., Busan, P., Tomaiuoli, D., & Conversi, D. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1576681 · Cited by 2
Gao, S., Liu, R., Niu, P., Guan, Y., Yuan, C., Chen, J., & Yang, X. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119666 · Cited by 2
Li, J., Cheng, J., Yang, L., Niu, Q., Zhang, Y., & Palaniyappan, L. K. (2023) · Psychological Medicine · doi:10.1017/s0033291723003422 · Cited by 2
Du, Y., Nie, J., Zhang, J., Fang, Y., Wei, W., Wang, J., Zhang, S., Wang, J., & Li, X. (2023) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14547 · Cited by 1
Rahrig, H., Vago, D. R., Passarelli, M., Auten, A., Lynn, N. A., & Brown, K. W. (2022) · Research Square · doi:10.21203/rs.3.rs-1189676/v1 · Cited by 2
Mindfulness training impacts brain network dynamics linked to stress response in young adolescents
Gaviria, J., Celen, Z., Smith, M. M., Peek, L., Brosset, S., Vuilleumier, P., Van De Ville, D., Merglen, A., Klauser, P., & Piguet, C. (2024) · doi:10.1101/2024.10.16.616959 · Cited by 1
Cho, S., Jung, J., Kang, C., & Na, K. (2025) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2025.100900 · Cited by 1
Bhadra, K., Janakiram, A. A., Marco, S., Micali, N., Hüppi, P. S., & Berchio, C. (2025) · Brain Topography · doi:10.1007/s10548-025-01149-4 · Cited by 1
Lemmik, H., Kim, E., MacNicol, E., Maselli, D., Bernanos, M., Li, Z., Abdullahi, D., Walters, E. H., Navacerrada, M. E. S., Zhou, W., et al. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf422 · Cited by 1
Hedström, S., Stenberg, J., Borg, K., Hedberg, S. M., Granberg, T., Gyllenberg, A., Pettersson, S., Loo, H. V., Möller, M. C., & Nordin, L. E. (2026) · Scientific Reports · doi:10.1038/s41598-026-41665-2 · Cited by 1
Li, Y., Li, S., Li, Y., Pang, X., Yi, C., Jiang, L., Yao, D., Wu, W., Li, F., & Xu, P. (2026) · Communications Biology · doi:10.1038/s42003-026-09854-x · Cited by 1
Campbell, C., Wilson, A. J., du Plessis, S., Vergeer, M. H., Jobin, K., Galarneau, J.-M. F., Gan, L. S., & Debert, C. T. (2026) · Journal of Neurotrauma · doi:10.1177/08977151261440773 · Cited by 2
Directed information flow across the metabolic network of the human brain
Deery, H. A., Moran, C., Liang, E., Egan, G. F., & Jamadar, S. D. (2026) · Network Neuroscience · doi:10.1162/netn.a.607 · Cited by 2
Zheng, A., Chen, X., Xiang, G., Li, Q., Du, X., Liu, X., Xiao, M., & Chen, H. (2023) · Neuroscience · doi:10.1016/j.neuroscience.2023.10.021 · Cited by 1
Neural correlates of anxiety in adult-onset isolated dystonia
Yang, Z., Liu, H., Zhang, J., Luo, Y., Weng, A., Zhang, Y., Zhong, L., Ou, Z., Yan, Z., Zhang, W., et al. (2024) · Neuroscience · doi:10.1016/j.neuroscience.2024.08.018 · Cited by 1
Reliable Multimodal Brain Signatures Predict Mental Health Outcomes in Children
Manning, K. Y., Llera, A., & Lebel, C. A. (2025) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2025.03.003 · Cited by 3
Li, J., Ran, H., & Zhao, J. L. (2019) · International Congress on Image and Signal Processing (CISP) · doi:10.1109/cisp-bmei48845.2019.8965982 · Cited by 1
Infinite singletons and the default mode network
Battilotti, G., Borozan, M., & Grotto, R. L. (2022) · Journal of Psychology & Clinical Psychiatry · doi:10.15406/jpcpy.2022.13.00706 · Cited by 1
Psilocybin Therapy for Major Depressive Disorder: A Systematic Review
Venugopal, K. (2023) · Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · doi:10.26685/urncst.489 · Cited by 1
Brain imaging and the deconstruction of mind
de Beaurepaire, R. (2016) · L Évolution Psychiatrique · doi:10.1016/j.evopsy.2016.02.001
Jerath, R., & Beveridge, C. (2019) · World Journal of Neuroscience · doi:10.4236/wjns.2019.94020
Trufanov, A. G., Frunza, D., Markin, K. V., Litvinenko, I., & Odinak, M. M. (2020) · Vestnik nevrologii psihiatrii i nejrohirurgii (Bulletin of Neurology Psychiatry and Neurosurgery) · doi:10.33920/med-01-2001-05
Mishra, P., & Kalagnanam, S. S. (2022) · Palgrave studies in workplace spirituality and fulfillment · doi:10.1007/978-3-030-90669-6_2
A Cultural Neuroscience Perspective on Socioeconomic Disparities in Global Mental Health
Alvarez, G., & Muscatell, K. A. (2022) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190057695.013.30
Motion networks predict head motion during rest- and task-fMRIPreprint
Tomasi, D. G., & Volkow, N. D. (2022) · Research Square · doi:10.21203/rs.3.rs-1918395/v1
Baggio, T., Grecucci, A., Meconi, F., & Messina, I. (2022) · Research Square · doi:10.21203/rs.3.rs-2255161/v1
Jia, X., & Zhou, C. (2023) · Journal of Artificial Intelligence & Cloud Computing · doi:10.47363/jaicc/2023(2)124
Kalenzaga, S., & Clarys, D. (2023) · Canadian Journal on Aging / La Revue canadienne du vieillissement · doi:10.1017/s0714980823000612
A Neural Signature of the Bias Towards Self-FocusPreprint
Geisler, D., & Meyer, M. L. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.02.01.578262
Ramarushton, B. (2024) · University of North Texas Digital Library (University of North Texas) · doi:10.12794/metadc2332656
Adaptive Safety Coding in the Prefrontal CortexPreprint
Tashjian, S. M., Cussen, J., Deng, W., Zhang, B., & Mobbs, D. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.19.604228
Sheldrake, E., Nishat, E., Wheeler, A. L., Goldstein, B. I., Reed, N. P., & Scratch, S. E. (2024) · Brain Injury · doi:10.1080/02699052.2024.2416545
Awe and positive affect: the role of self-transcendence and self-focused attention
Chall, A., & Kahn, J. H. (2025) · The Journal of Positive Psychology · doi:10.1080/17439760.2025.2499074
Altered Global Signal Topography in Major Depressive Disorder With and Without Anxiety
Gao, H., Qian, R., Zhu, W., Ma, Y., Wu, D., & Zhao, Z. (2025) · Depression and Anxiety · doi:10.1155/da/3864020
Choi, S., Kim, D. H., Kang, W. J., & Kim, Y. W. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1641045
Ma, Z., Gao, Z., Chen, X., Hu, Y., Gao, H., Gu, J., He, H., Jin, H., Tao, J., & Fang, M. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1576620
Brown, O., Smith, A., Cairncross, M., Dodd, A. B., Goldfield, G. S., Gray, C., Harris, A. D., Jaworska, N., Saab, B. J., Sicard, V., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-7715247/v1
Additional file 1 of Network alterations underlying anxiety symptoms in early multiple sclerosis
Ellwardt, E., Muthuraman, M., González‐Escamilla, G., Chirumamilla, V. C., Luessi, F., Bittner, S., Zipp, F., Groppa, S., & Fleischer, V. (2022) · Figshare · doi:10.6084/m9.figshare.19863017
Medicinal Mushrooms and Mental Disorders: How Mushrooms Affect Anxiety and Depression
Tarki, A., Hajikarim‐Hamedani, A., Rassa, S., & Khosravi, S. (2025) · Nutritional neurosciences · doi:10.1007/978-981-95-2774-8_6
Hao, J., Liu, C., Feng, S., Shi, R. J., & Guo, S. (2026) · Archive for the Psychology of Religion · doi:10.1177/00846724251408342
Zanao, T. A., Salvan, P., Razza, L. B., da Silva, P. H. R., Brunoni, A. R., & O’Shea, J. (2026) · Scientific Reports · doi:10.1038/s41598-026-40364-2
Santé mentale et psychédéliques : révolution ou promesse utopique ?
Duguey, A. L., Fauvel, B., & Bioy, A. (2025) · Perspectives Psy · doi:10.1051/ppsy/2025055
Tan, S. L., Pawlak, M., Bray, S., & Kopala‐Sibley, D. C. (2026) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2026.04.038
Leo, D. G., & Wheatcroft, J. M. (2026) · New Ideas in Psychology · doi:10.1016/j.newideapsych.2026.101267
Chapter 8. The Wet Outdoors: Harnessing the Power of Our Aqueous Surroundings
Hennen, M.-A. E., Hansen, R. B., Filtes, E. F., & Ma, C. Q. (2024) · American Psychiatric Association Publishing eBooks · doi:10.1176/appi.books.9798894551906.lg08
Metadata
- Authors
- Coutinho, J. F., Fernandesl, S. V., Soares, J. M., Maia, L., Gonçalves, Ó. F., & Sampaio, A.
- Affiliations
- University of Minho (PT)
- Northeastern University (US)
- Corresponding author
- Coutinho, Joana Fernandes
- Venue
- Brain Imaging and Behavior
- Published
- 2015-03-26
- Volume
- 10
- Issue
- 1
- Pages
- 147-157
- ISSN
- 1931-7557 (ISSN-L)
- 1931-7565
- OpenAlex
- W1985472839
- Cited by
- 203
- References
- 89
- Citations by year
- 2026: 14 · 2025: 23 · 2024: 19 · 2023: 26 · 2022: 24 · 2021: 28 · 2020: 19 · 2019: 13 · 2018: 13 · 2017: 10 · 2016: 11 · 2015: 3
- FWCI
- 7.42
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Brain Imaging and Behavior (publishedVersion)
- PubMed (publishedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, cc-by-nc-nd)
- Funders
- Fundação Bial
- Programa Operacional Temático Factores de Competitividade
- Fundação para a Ciência e a Tecnologia
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- default mode network, depression, anxiety, resting-state functional connectivity, anterior cingulate cortex, medial prefrontal cortex, self-referential processing, episodic memory
- MeSH terms
- Adult, Anxiety, Brain, Brain Mapping, Depression, Female, Humans, Magnetic Resonance Imaging, Male, Neural Pathways, Psychiatric Status Rating Scales, Regression Analysis, Rest, Young Adult
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
