Rostral Anterior Cingulate Cortex Morphology Predicts Treatment Response to Internet-Based Cognitive Behavioral Therapy for Depression
Open accessAbstract
Background Rostral and subgenual anterior cingulate cortex (rACC and sgACC) activity and, to a lesser extent, volume have been shown to predict depressive symptom improvement across different antidepressant treatments. This study extends prior work by examining whether rACC and/or sgACC morphology predicts treatment response to internet-based cognitive behavioral therapy (iCBT) for major depressive disorder (MDD). This is the first study to examine neural predictors of response to iCBT. Methods Hierarchical linear modeling tested whether pre-treatment rACC and sgACC volumes predicted depressive symptom improvement during a 6-session (10-week) randomized clinical trial of iCBT (n = 35) vs. a monitored attention control (MAC; n = 38). Analyses also tested whether pre-treatment rACC and sgACC volumes differed between patients who achieved depression remission versus those who did not remit. Results Larger pre-treatment right rACC volume was a significant predictor of greater depressive symptom improvement in iCBT, even when controlling for demographic (age, gender, race) and clinical (baseline depression, anhedonia and anxiety) variables previously linked to treatment response. In addition, pre-treatment right rACC volume was larger among iCBT patients whose depression eventually remitted relative to those who did not remit. Corresponding analyses in the MAC group and for the sgACC were not significant. Conclusions rACC volume prior to iCBT demonstrated incremental predictive validity beyond clinical and demographic variables previously found to predict symptom improvement. Such findings may help inform our understanding of the mediating anatomy of iCBT and, if replicated, may suggest neural targets to augment treatment response (e.g., via modulation of rACC function). ClinicalTrials.gov Identifier NCT01598922
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
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?
Larger pretreatment right rostral anterior cingulate cortex volume was a significant predictor of greater depressive symptom improvement on ICBT, even after controlling for demographic and clinical variables.
“Another study 87 found that larger pretreatment right rostral anterior cingulate cortex volume was a significant predictor of greater depressive symptom improvement on ICBT, even after control ling for demographic and clinical variables previously linked to treatment response.”
From Internet-delivered psychological treatments: from innovation to implementation (2019) · cites this paper as [87]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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 109,841 · see citing works
The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910 · see citing works
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817 · see citing works
Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910 · see citing works
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
Singer, J. D., & Willett, J. B. (2003) · doi:10.1093/acprof:oso/9780195152968.001.0001 · Cited by 10,647 · see citing works
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610 · see citing works
Automatically Parcellating the Human Cerebral Cortex
Fischl, B. R. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg087 · Cited by 4,208 · see citing works
Trivedi, M. H., Rush, A. J., Wisniewski, S. R., Nierenberg, A. A., Warden, D., Ritz, L., Norquist, G., Howland, R. H., Lebowitz, B., McGrath, P. J., et al. (2006) · American Journal of Psychiatry · doi:10.1176/appi.ajp.163.1.28 · Cited by 3,879 · see citing works
Emotional processing in anterior cingulate and medial prefrontal cortex
Etkin, A., Egner, T., & Kalisch, R. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.11.004 · Cited by 3,059 · see citing works
The Neuroscience of Mindfulness Meditation
Tang, Y.-Y., Hölzel, B. K., & Posner, M. I. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3916 · Cited by 2,889 · see citing works
Functional-anatomic fractionation of the brain’s default network
Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R., & Buckner, R. L. (2010) · Neuron · doi:10.1016/j.neuron.2010.02.005 · Cited by 2,767 · see citing works
A hybrid approach to the skull stripping problem in MRI
Ségonne, F., Dale, A. M., Busa, E., Glessner, M., Salat, D. H., Hahn, H., & Fischl, B. R. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.032 · Cited by 2,227 · see citing works
Sequence-independent segmentation of magnetic resonance images
Fischl, B. R., Salat, D. H., van der Kouwe, A. J. W., Makris, N., Ségonne, F., Quinn, B. T., & Dale, A. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.016 · Cited by 2,117 · see citing works
Antidepressant Drug Effects and Depression Severity: A Patient-Level Meta-analysis
Fournier, J. C., DeRubeis, R. J., Hollon, S. D., Dimidjian, S., Amsterdam, J. D., Shelton, R. C., & Fawcett, J. (2010) · JAMA · doi:10.1001/jama.2009.1943 · Cited by 2,009 · see citing works
Dale, A. M., & Sereno, M. I. (1993) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1993.5.2.162 · Cited by 2,003 · see citing works
Phillips, M. L., Ladouceur, C. D., & Drevets, W. C. (2008) · Molecular Psychiatry · doi:10.1038/mp.2008.65 · Cited by 1,383 · see citing works
Etkin, A., Egner, T., Peraza, D. M., Kandel, E. R., & Hirsch, J. (2006) · Neuron · doi:10.1016/j.neuron.2006.07.029 · Cited by 1,360 · see citing works
Cingulate function in depression: a potential predictor of treatment response
Mayberg, H. S., Brannan, S. K., Mahurin, R. K., Jerabek, P. A., Brickman, J. S., Tekell, J. L., Silva, J. A., McGinnis, S., Glass, T. G., Martin, C. C., et al. (1997) · NeuroReport · doi:10.1097/00001756-199703030-00048 · Cited by 1,029 · see citing works
Explicit and implicit emotion regulation: a dual-process framework.
Gyurak, A., Gross, J. J., & Etkin, A. (2011) · Cognition and Emotion · doi:10.1080/02699931.2010.544160 · Cited by 1,015 · see citing works
Watson, D., Clark, L. A., Weber, K., Assenheimer, J. S., Strauss, M. E., & McCormick, R. A. (1995) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.104.1.15 · Cited by 1,002 · see citing works
Frontocingulate Dysfunction in Depression: Toward Biomarkers of Treatment Response
Pizzagalli, D. A. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.166 · Cited by 945 · see citing works
Self-citationApplied Longitudinal Data Analysis: Modeling Change and Event Occurrence
Anderson, C. J. (2005) · Journal of the American Statistical Association · doi:10.1198/jasa.2005.s7 · Cited by 848 · see citing works
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
the Alzheimer’s Disease Neuroimaging Initiative, E. C., Thompson, P. M., Stein, J. L., Medland, S. E., Hibar, D. P., Vasquez, A. A., Renteria, M. E., Toro, R., Jahanshad, N., Schumann, G., et al. (2014) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9269-5 · Cited by 838 · see citing works
Bora, E., Fornito, A., Pantelis, C., & Yücel, M. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2011.03.049 · Cited by 763 · see citing works
Gender Differences in Treatment Response to Sertraline Versus Imipramine in Chronic Depression
Kornstein, S. G., Schatzberg, A. F., Thase, M. E., Yonkers, K. A., McCullough, J. P., Keitner, G. I., Gelenberg, A. J., Thomas, S., Harrison, W. M., & Keller, M. B. (2000) · American Journal of Psychiatry · doi:10.1176/appi.ajp.157.9.1445 · Cited by 712 · see citing works
Pizzagalli, D., Pascual-Marqui, R. D., Nitschke, J. B., Oakes, T. R., Larson, C. L., Abercrombie, H. C., Schaefer, S. M., Koger, J. V., Benca, R. M., & Davidson, R. J. (2001) · American Journal of Psychiatry · doi:10.1176/appi.ajp.158.3.405 · Cited by 630 · see citing works
Self-citationUse of fMRI to Predict Recovery From Unipolar Depression With Cognitive Behavior Therapy
Siegle, G. J., Carter, C. S., & Thase, M. E. (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.4.735 · Cited by 495 · see citing works
The neural substrates of affective processing in depressed patients treated with venlafaxine
Davidson, R. J., Irwin, W., Anderle, M. J., & Kalin, N. H. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.1.64 · Cited by 487 · see citing works
McMakin, D. L., Olino, T. M., Porta, G., Dietz, L. J., Emslie, G., Clarke, G., Wagner, K. D., Asarnow, J. R., Ryan, N. D., Birmaher, B., et al. (2012) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2012.01.011 · Cited by 448 · see citing works
Uher, R., Perlis, R. H., Henigsberg, N., Zobel, A., Rietschel, M., Mors, O., Hauser, J., Dernovsek, M. Z., Souery, D., Bajs, M., et al. (2012) · Psychological Medicine · doi:10.1017/s0033291711001905 · Cited by 420 · see citing works
Titov, N., Andrews, G., Davies, M., McIntyre, K., Robinson, E., & Solley, K. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010939 · Cited by 406 · see citing works
Craske, M. G., Meuret, A. E., Ritz, T., Treanor, M., & Dour, H. J. (2016) · Depression and Anxiety · doi:10.1002/da.22490 · Cited by 387 · see citing works
Phillips, M. L., Ladouceur, C. D., & Drevets, W. C. (2008) · Molecular Psychiatry · doi:10.1038/mp.2008.82 · Cited by 366 · see citing works
Chen, C.-H., Ridler, K., Suckling, J., Williams, S., Fu, C. H. Y., Merlo-Pich, E., & Bullmore, E. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.09.018 · Cited by 354 · see citing works
Fournier, J. C., DeRubeis, R. J., Shelton, R. C., Hollon, S. D., Amsterdam, J. D., & Gallop, R. (2009) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0015401 · Cited by 340 · see citing works
Holmes, A. J., Lee, P. H., Hollinshead, M. O., Bakst, L., Roffman, J. L., Smoller, J. W., & Buckner, R. L. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2531-12.2012 · Cited by 293 · cited 1× · see citing works
“, for resting-state fMRI), morphometric results derived from structural MRI studies are likely to be relatively temporally stable and may thus provide greater insight into traitlike predictors of treatment response (37,38).”
Clinician-Assisted Internet-Based Treatment is Effective for Panic: A Randomized Controlled Trial
Wims, E., Titov, N., Andrews, G., & Choi, I. (2010) · Australian & New Zealand Journal of Psychiatry · doi:10.3109/00048671003614171 · Cited by 290 · see citing works
Prognostic and diagnostic potential of the structural neuroanatomy of depression
Costafreda, S. G., Chu, C., Ashburner, J., & Fu, C. H. Y. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006353 · Cited by 232 · see citing works
Clinician-Assisted Internet-Based Treatment is Effective for Depression: Randomized Controlled Trial
Perini, S., Titov, N., & Andrews, G. (2009) · Australian & New Zealand Journal of Psychiatry · doi:10.1080/00048670902873722 · Cited by 231 · cited 1× · see citing works
“Participants randomly assigned to the iCBT condition accessed a modified version of the technician-assisted Sadness Program (43,44) hosted on a secure server.”
Internet-Based Cognitive-Behavioral Therapy for Depression: Current Progress and Future Directions
Webb, C. A., Rosso, I. M., & Rauch, S. L. (2017) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000139 · Cited by 217 · see citing works
Self-citationDriessen, E., Cuijpers, P., Hollon, S. D., & Dekker, J. J. M. (2010) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0020570 · Cited by 208 · see citing works
Toward Clinically Useful Neuroimaging in Depression Treatment
Siegle, G. J., Thompson, W. K., Collier, A. B., Berman, S., Feldmiller, J., Thase, M. E., & Friedman, E. S. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2012.65 · Cited by 206 · see citing works
Andersson, G., Hesser, H., Veilord, A., Svedling, L., Andersson, F., Sleman, O., Mauritzson, L., Sarkohi, A., Claesson, E., Zetterqvist, V., et al. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.08.022 · Cited by 195 · see citing works
Gender differences in depression and response to psychotropic medication
Gorman, J. M. (2006) · Gender Medicine · doi:10.1016/s1550-8579(06)80199-3 · Cited by 195 · see citing works
KRAEMER, H. C. (2013) · Statistics in Medicine · doi:10.1002/sim.5734 · Cited by 161 · see citing works
Konarski, J. Z., Kennedy, S. H., Segal, Z. V., Lau, M. A., Bieling, P., McIntyre, R. S., & Mayberg, H. S. (2009) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.0923 · Cited by 155 · see citing works
Yoshimura, S., Ueda, K., Suzuki, S.-I., Onoda, K., Okamoto, Y., & Yamawaki, S. (2009) · Brain and Cognition · doi:10.1016/j.bandc.2008.07.010 · Cited by 140 · see citing works
Pretreatment Brain States Identify Likely Nonresponse to Standard Treatments for Depression
McGrath, C. L., Kelley, M. E., Dunlop, B. W., Holtzheimer III, P. E., Craighead, W. E., & Mayberg, H. S. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.12.005 · Cited by 139 · see citing works
Webb, C. A., Weber, M., Mundy, E. A., & Killgore, W. D. S. (2014) · Psychological Medicine · doi:10.1017/s0033291714000348 · Cited by 138 · see citing works
Self-citationBryant, R. A., Felmingham, K. L., Whitford, T. J., Kemp, A. H., Hughes, G., Peduto, A. S., & Williams, L. M. (2008) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.0816 · Cited by 138 · see citing works
Predictors of outcome of group and internet-based cognitive behavior therapy
Spek, V., Nyklíček, I., Cuijpers, P., & Pop, V. (2008) · Journal of Affective Disorders · doi:10.1016/j.jad.2007.05.001 · Cited by 134 · see citing works
Donker, T., Batterham, P. J., Warmerdam, L., Bennett, K., Bennett, A., Cuijpers, P., Griffiths, K. M., & Christensen, H. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.06.020 · Cited by 115 · see citing works
Neural correlates of inhibitory deficits in depression
Eugène, F., Joormann, J., Cooney, R. E., Atlas, L. Y., & Gotlib, I. H. (2010) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2009.07.010 · Cited by 110 · see citing works
Anterior cingulate cortical volumes and treatment remission of geriatric depression
Gunning, F. M., Cheng, J., Murphy, C. F., Kanellopoulos, D., Acuna, J., Hoptman, M. J., Klimstra, S., Morimoto, S., Weinberg, J., & Alexopoulos, G. S. (2009) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2290 · Cited by 106 · see citing works
Neural responses to negative feedback are related to negative emotionality in healthy adults
Santesso, D. L., Bogdan, R., Birk, J. L., Davis, E., Holmes, A. J., & Pizzagalli, D. A. (2011) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr054 · Cited by 99 · see citing works
Self-citationLi, C., Hsieh, J., Huang, H.-H., Chen, M., Juan, C.-H., Tu, P., Lee, Y.-C., Wang, S.-J., Cheng, C., & Su, T. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu191 · Cited by 89 · see citing works
Blair, K. S., Otero, M. C., Teng, C. Y., Jacobs, M., Odenheimer, S., Pine, D. S., & Blair, J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.063 · Cited by 80 · see citing works
Factors associated with differential response to online cognitive behavioural therapy
Button, K. S., Wiles, N. J., Lewis, G., Peters, T. J., & Kessler, D. (2012) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-011-0389-1 · Cited by 69 · see citing works
Guided Internet-Based Treatments in Psychiatry
Lindefors, N., & Andersson, G. (2016) · Springer eBooks · doi:10.1007/978-3-319-06083-5 · Cited by 68 · see citing works
Default mode network deactivation during emotion processing predicts early antidepressant response
Spies, M., Kraus, C., Geissberger, N., Auer, B., Klöbl, M., Tik, M., Stürkat, I.-L., Hahn, A., Woletz, M., Pfabigan, D. M., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2016.265 · Cited by 68 · see citing works
Rosso, I. M., Killgore, W. D. S., Olson, E. A., Webb, C. A., Fukunaga, R., Auerbach, R. P., Gogel, H., Buchholz, J. L., & Rauch, S. L. (2016) · Depression and Anxiety · doi:10.1002/da.22590 · Cited by 65 · see citing works
Self-citationFrodl, T., Jäger, M., Born, C., Ritter, S., Kraft, E., Zetzsche, T., Bottlender, R., Leinsinger, G., Reiser, M., Möller, H.-J., et al. (2008) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2007.04.012 · Cited by 57 · see citing works
Positive coping styles and perigenual ACC volume: two related mechanisms for conferring resilience?
Holz, N. E., Boecker, R., Jennen-Steinmetz, C., Buchmann, A. F., Blomeyer, D., Baumeister, S., Plichta, M. M., Esser, G., Schmidt, M. H., Meyer‐Lindenberg, A., et al. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw005 · Cited by 52 · see citing works
Predicting outcome of Internet-based treatment for depressive symptoms
Warmerdam, L., van Straten, A., Twisk, J. W. R., & Cuijpers, P. J. (2013) · Psychotherapy Research · doi:10.1080/10503307.2013.807377 · Cited by 49 · see citing works
Forand, N. R., & DeRubeis, R. J. (2013) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0032985 · Cited by 36 · see citing works
Cognitive therapy for depressed adults with comorbid social phobia
Smits, J. A. J., Minhajuddin, A., & Jarrett, R. B. (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2008.08.008 · Cited by 33 · see citing works
Personality change after Internet-delivered cognitive behavior therapy for depression
Johansson, R., Lyssarides, C., Andersson, G., & Rousseau, A. (2013) · PeerJ · doi:10.7717/peerj.39 · Cited by 26 · see citing works
Forand, N. R., Gunthert, K. C., Cohen, L. H., Butler, A. C., & Beck, J. S. (2010) · Cognitive Therapy and Research · doi:10.1007/s10608-010-9348-5 · Cited by 18 · see citing works
Andersson, G., Wagner, B., & Cuijpers, P. J. (2016) · Springer eBooks · doi:10.1007/978-3-319-06083-5_2 · Cited by 15 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Internet-delivered psychological treatments: from innovation to implementation
Andersson, G., Titov, N., Dear, B. F., Rozental, A., & Carlbring, P. (2019) · World Psychiatry · doi:10.1002/wps.20610 · Cited by 747 · see citing works
Scaini, G., Valvassori, S. S., Díaz, A. P., Lima, C. N. D. C., Benevenuto, D., Fries, G. R., & Quevedo, J. (2020) · Brazilian Journal of Psychiatry · doi:10.1590/1516-4446-2019-0732 · Cited by 114 · see citing works
Enneking, V., Leehr, E. J., Dannlowski, U., & Redlich, R. (2019) · Psychological Medicine · doi:10.1017/s0033291719003660 · Cited by 108 · see citing works
Intrinsic Brain Network Biomarkers of Antidepressant Response: a Review
Dunlop, K., Talishinsky, A., & Liston, C. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1072-6 · Cited by 80 · see citing works
Associations between depression, lifestyle and brain structure: A longitudinal MRI study
Binnewies, J., Nawijn, L., van Tol, M., van der Wee, N. J. A., Veltman, D. J., & Penninx, B. W. J. H. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117834 · Cited by 70 · see citing works
Bruijniks, S. J. E., DeRubeis, R. J., Hollon, S. D., & Huibers, M. J. H. (2019) · Clinical Psychological Science · doi:10.1177/2167702619830391 · Cited by 54 · see citing works
Norman, L. J., Mannella, K. A., Yang, H., Angstadt, M., Abelson, J. L., Himle, J. A., Fitzgerald, K. D., & Taylor, S. F. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.19080886 · Cited by 45 · see citing works
Homan, S., Muscat, W., Joanlanne, A., Marousis, N., Cecere, G., Hofmann, L. A., Ji, E., Neumeier, M. S., Vetter, S., Seifritz, E., et al. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.11.033 · Cited by 28 · see citing works
Hanuka, S., Olson, E. A., Admon, R., Webb, C. A., Killgore, W., Rauch, S., Rosso, I., & Pizzagalli, D. (2022) · Psychological Medicine · doi:10.1017/s0033291722001106 · Cited by 25 · see citing works
Self-citationPantazatos, S. P., Yttredahl, A. A., Rubin‐Falcone, H., Kishon, R., Oquendo, M. A., Mann, J. J., & Miller, J. M. (2020) · European Psychiatry · doi:10.1192/j.eurpsy.2020.34 · Cited by 27 · see citing works
Baeken, C., van Beek, V., Vanderhasselt, M., Duprat, R., & Klooster, D. (2021) · Neuromodulation Technology at the Neural Interface · doi:10.1111/ner.13380 · Cited by 25 · see citing works
Zilcha-Mano, S., & Webb, C. A. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.609585 · Cited by 25 · see citing works
Self-citationTraces of culture: The feedback loop between behavior, brain, and disorder
Crafa, D., & Nagel, S. K. (2020) · Transcultural Psychiatry · doi:10.1177/1363461519879515 · Cited by 21 · see citing works
Shi, Y., Yao, S., Shen, Z., She, L.-J., Xu, Y., Liu, B., Liang, Y., Jiang, Y., Sun, J., Wu, Y., et al. (2020) · Neural Plasticity · doi:10.1155/2020/8865096 · Cited by 18 · see citing works
Ojha, A., Teresi, G. I., Slavich, G. M., Gotlib, I. H., & Ho, T. C. (2022) · Psychological Medicine · doi:10.1017/s0033291722002239 · Cited by 15 · see citing works
Christova, P. S., & Georgopoulos, A. P. (2023) · Journal of Neurophysiology · doi:10.1152/jn.00066.2023 · Cited by 16 · see citing works
Cortical morphological alterations in adolescents with major depression and non-suicidal self-injury
Pang, X., Wu, D., Wang, H., Zhang, J., Yu, Y., Zhao, Y., Li, Q., Ni, L., Wang, K., Zhang, D., et al. (2024) · NeuroImage Clinical · doi:10.1016/j.nicl.2024.103701 · Cited by 15 · see citing works
Thai, M., Olson, E. A., Nickels, S., Dillon, D. G., Webb, C. A., Ren, B., Killgore, W. D. S., Rauch, S. L., Rosso, I. M., & Pizzagalli, D. A. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03020-9 · Cited by 13 · see citing works
Self-citationKlimes‐Dougan, B., Başgöze, Z., Mueller, B. A., Wiglesworth, A., Carosella, K. A., Schreiner, M. W., Bortnova, A., Reigstad, K. M., Cullen, K. R., & Gunlicks‐Stoessel, M. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11071878 · Cited by 13 · see citing works
Bauer, I. E., Suchting, R., Cazala, F., Alpak, G., Sanches, M., Nery, F. G., Zunta‐Soares, G. B., & Soares, J. C. (2018) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2018.06.005 · Cited by 13 · see citing works
ERP signatures of pseudowords’ acquired emotional connotations of disgust and sadness
Gu, B., Liu, B., Wang, H., de Vega, M., & Beltrán, D. (2022) · Language Cognition and Neuroscience · doi:10.1080/23273798.2022.2099914 · Cited by 12 · see citing works
Albar, Z., & Sattar, A. (2022) · Brain Sciences · doi:10.3390/brainsci12101319 · Cited by 7 · see citing works
Shahane, A. D., Fagundes, C. P., & Denny, B. T. (2018) · Bereavement Care · doi:10.1080/02682621.2018.1493640 · Cited by 6 · see citing works
Gu, B., Liu, B., Beltrán, D., & de Vega, M. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1154442 · Cited by 5 · see citing works
Serin, E., Schill, L. S., Bärtl, C., Giglberger, M., Konzok, J., Peter, H. L., Speicher, N., Kreuzpointner, L., Kudielka, B. M., Wüst, S., et al. (2026) · Psychological Medicine · doi:10.1017/s0033291726104103 · Cited by 4 · see citing works
Guo, C., Wang, C., He, T., Yu, B., Li, M., Zhao, C., Yuan, Y., & Chen, H. (2020) · Neuropharmacology · doi:10.1016/j.neuropharm.2020.108180 · Cited by 4 · see citing works
Yüce, A. E. (2024) · Psikiyatride Guncel Yaklasimlar - Current Approaches in Psychiatry · doi:10.18863/pgy.1433144 · Cited by 3 · see citing works
Treatment effect variation in brain stimulation across psychiatric disordersPreprint
Homan, S., Muscat, W., Joanlanne, A., Marousis, N., Vetter, S., Seifritz, E., Dierks, T., & Homan, P. (2020) · medRxiv · doi:10.1101/2020.05.02.20088831 · Cited by 3 · see citing works
Dynamic Changes in ALFF and DC in Subthreshold Depression Before and After ICBT Intervention
Wang, Y., Ying, Y., Zhu, Z., Wang, L., Yang, Y., Zhang, L., Yu, W., Liang, Y., Zhang, H., Ji, Y., et al. (2025) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s518526 · Cited by 1 · see citing works
Hubungan Self Control dengan Internet Addiction Disorders dan Kecemasan Siswa dalam Menghadapi Ujian
Ardiansyah, F., Degeng, I. N., & Husna, A. (2021) · Jurnal Inovasi dan Teknologi Pembelajaran · doi:10.17977/um031v8i22021p122 · Cited by 1 · see citing works
Linking Neuroimaging-Based Predictive Biomarkers and Mechanisms
Fu, C. H. Y. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.01.005
Yun, J., & Lee, S. (2018) · Springer eBooks · doi:10.1007/978-981-10-4358-1_4
Digital Therapies of Psychiatric Disorders
Biagianti, B., Nahum, M., Yitzhak, N., & Vinogradov, S. (2025) · Oxford University Press eBooks · doi:10.1093/med/9780197640654.003.0073
Kogan, S. M., Yu, T., Nusslock, R., Cichoki, A. C., Seitz, K., & Beach, S. R. H. (2026) · Prevention Science · doi:10.1007/s11121-026-01998-w
- Authors
- Webb, C. A., Olson, E. A., Killgore, W. D. S., Pizzagalli, D. A., Rauch, S. L., & Rosso, I. M.
- Affiliations
- Harvard University (US)
- University of Arizona (US)
- Corresponding author
- Rosso, Isabelle M.
- ORCID
- Venue
- Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 3
- Issue
- 3
- Pages
- 255-262
- ISSN
- 2451-9022 (ISSN-L)
- PMC
- PMC6005352
- OpenAlex
- W2770975402
- Semantic Scholar
- 4498090e31cb9dce07187da0606b978a07e06ca1
- Cited by
- 34
- References
- 69
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2023: 2 · 2022: 5 · 2021: 5 · 2020: 7 · 2019: 4 · 2018: 4
- FWCI
- 4.69
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Biological Psychiatry Cognitive Neuroscience and Neuroimaging (acceptedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (K23 MH108752, R01 MH096987)
- U.S. Army (W81XWH-12-1-0109)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- rostral anterior cingulate cortex, subgenual anterior cingulate cortex, brain structure, treatment response prediction, internet-based cognitive behavioral therapy, major depressive disorder, depression remission, antidepressant response
- MeSH terms
- Adolescent, Adult, Depressive Disorder, Female, Gyrus Cinguli, Humans, Male, Middle Aged, Organ Size, Predictive Value of Tests, Cognitive Behavioral Therapy, Treatment Outcome, Remote Consultation, Internet, 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
