Multidimensional imaging techniques for prediction of treatment response in major depressive disorder
Open accessAbstract
A large number of studies have attempted to use neuroimaging tools to aid in treatment prediction models for major depressive disorder (MDD). Most such studies have reported on only one dimension of function and prediction at a time. In this study, we used three different tasks across domains of function (emotion processing, reward anticipation, and cognitive control, plus resting state connectivity completed prior to start of medication to predict treatment response in 13-36 adults with MDD. For each experiment, adults with MDD were prescribed only label duloxetine (all experiments), whereas another subset were prescribed escitalopram. We used a KeyNet (both Task derived masks and Key intrinsic Network derived masks) approach to targeting brain systems in a specific match to tasks. The most robust predictors were (Dichter et al., 2010) positive response to anger and (Gong et al., 2011) negative response to fear within relevant anger and fear TaskNets and Salience and Emotion KeyNet (Langenecker et al., 2018) cognitive control (correct rejections) within Inhibition TaskNet (negative) and Cognitive Control KeyNet (positive). Resting state analyses were most robust for Cognitive control Network (positive) and Salience and Emotion Network (negative). Results differed by whether an -fwhm or -acf (more conservative) adjustment for multiple comparisons was used. Together, these results implicate the importance of future studies with larger sample sizes, multidimensional predictive models, and the importance of using empirically derived masks for search areas.
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There has been an increasing amount of studies providing evidence that neural activity could function as a biomarker for response to different treatment approaches.
“there has been an increasing amount of studies providing evidence that neural activity could function as a biomarker for response to different treatment approaches”
From SSRI Treatment Response Prediction in Depression Based on Brain Activation by Emotional Stimuli (2020) · cites this paper as [11]
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Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812 · see citing works
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182 · see citing works
Dissociable 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 · see citing works
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304 · see citing works
Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., Sanislow, C., & Wang, P. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09091379 · Cited by 7,067 · see citing works
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700 · see citing works
Large-scale brain networks and psychopathology: a unifying triple network model
Menon, V. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.08.003 · Cited by 4,168 · see citing works
Serotonin transporter genetic variation and the response of the human amygdala.
Hariri, A. R., Mattay, V. S., Tessitore, A., Kolachana, B., Fera, F., Goldman, D., Egan, M. F., & Weinberger, D. R. (2002) · Science · doi:10.1126/science.1071829 · Cited by 2,340 · see citing works
Resting-state connectivity biomarkers define neurophysiological subtypes of depression
Drysdale, A. T., Grosenick, L., Downar, J., Dunlop, K., Mansouri, F., Meng, Y., Fetcho, R. N., Zebley, B., Oathes, D. J., Etkin, A., et al. (2017) · Nature Medicine · doi:10.1038/nm.4246 · Cited by 2,170 · see citing works
Neural mechanisms of the cognitive model of depression.
Disner, S. G., Beevers, C. G., Haigh, E. A. P., & Beck, A. T. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3027 · Cited by 1,718 · see citing works
Niendam, T. A., Laird, A. R., Ray, K. L., Dean, Y. M., Glahn, D. C., & Carter, C. S. (2012) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-011-0083-5 · Cited by 1,700 · cited 1× · see citing works
“For example, prior work has suggested that attenuated connectivity within the CCN may have utility as a biomarker for individual differences in cognitive control performance and cognitive vulnerabilities for depression (e.g., (Stange et al., 2017a; Niendam et al., 2012).”
The maturing architecture of the brain's default network
Fair, D. A., Cohen, A. L., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Barch, D. M., Raichle, M. E., Petersen, S. E., & Schlaggar, B. L. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800376105 · Cited by 1,314 · see citing works
Siegle, G. J., Thompson, W., Carter, C. S., Steinhauer, S. R., & Thase, M. E. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.05.048 · Cited by 857 · see citing works
Developing constructs for psychopathology research: Research domain criteria
Sanislow, C. A., Pine, D. S., Quinn, K. J., Kozak, M. J., Garvey, M. A., Heinssen, R. K., Wang, P. S.-E., & Cuthbert, B. N. (2010) · Journal of Abnormal Psychology · doi:10.1037/a0020909 · Cited by 793 · see citing works
Default mode network mechanisms of transcranial magnetic stimulation in depression
Liston, C., Chen, A. C., Zebley, B. D., Drysdale, A. T., Gordon, R., Leuchter, B., Voss, H. U., Casey, B. J., Etkin, A., & Dubin, M. J. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.01.023 · Cited by 763 · see citing works
Gur, R. C., Šára, R., Hagendoorn, M., Marom, O., Hughett, P., Macy, L., Turner, T. H., Bajcsy, R., Posner, A., & Gur, R. E. (2002) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(02)00006-7 · Cited by 647 · see citing works
Phan, K. L., Fitzgerald, D. A., Nathan, P. J., & Tancer, M. E. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.08.012 · Cited by 539 · see citing works
Self-citationNeural Responses to Monetary Incentives in Major Depression
Knutson, B., Bhanji, J. P., Cooney, R. E., Atlas, L. Y., & Gotlib, I. H. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.07.023 · Cited by 496 · see citing works
Reduced Reward Learning Predicts Outcome in Major Depressive Disorder
Vrieze, E., Pizzagalli, D. A., Demyttenaere, K., Hompes, T., Sienaert, P. A., de Boer, P., Schmidt, M. E., & Claes, S. J. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.10.014 · Cited by 443 · see citing works
Rumination and executive function in depression: an experimental study
Watkins, E. R. (2002) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.72.3.400 · Cited by 427 · see citing works
Groenewold, N. A., Opmeer, E. M., de Jonge, P., Aleman, A., & Costafreda, S. G. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.11.015 · Cited by 417 · see citing works
Fu, C. H. Y., Steiner, H., & Costafreda, S. G. (2013) · Neurobiology of Disease · doi:10.1016/j.nbd.2012.05.008 · Cited by 399 · see citing works
Dichter, G. S., Gibbs, D., & Smoski, M. J. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.09.028 · Cited by 375 · see citing works
Dunlop, B. W., Rajendra, J. K., Craighead, W. E., Kelley, M. E., McGrath, C. L., Choi, K. S., Kinkead, B., Nemeroff, C. B., & Mayberg, H. S. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2016.16050518 · Cited by 342 · cited 2× · see citing works
“…the role of intrinsic network connectivity (e.g., KeyNet) in the prediction of treatment response in mood and related disorders (Klumpp et al., 2014; Salomons et al., 2013; Dichter et al., 2015; Whitfield-Gabrieli et al., 2015; van Waarde et al., 2014; Ge et al., n.d.; Dunlop et al., 2017).”
Salomons, T. V., Dunlop, K., Kennedy, S. H., Flint, A., Geraci, J., Giacobbe, P., & Downar, J. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2013.222 · Cited by 299 · see citing works
Antidepressants Normalize the Default Mode Network in Patients With Dysthymia
Posner, J., Hellerstein, D. J., Gat, I., Mechling, A., Klahr, K., Wang, Z., McGrath, P. J., Stewart, J. W., & Peterson, B. S. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.455 · Cited by 268 · see citing works
Phillips, M. L., Chase, H. W., Sheline, Y. I., Etkin, A., Almeida, J. R. C., Deckersbach, T., & Trivedi, M. H. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.14010076 · Cited by 267 · see citing works
Changes in the interaction of resting-state neural networks from adolescence to adulthood
Stevens, M. C., Pearlson, G. D., & Calhoun, V. D. (2009) · Human Brain Mapping · doi:10.1002/hbm.20673 · Cited by 256 · see citing works
The effects of self-focused rumination on global negative self-judgements in depression
Rimes, K. A., & Watkins, E. R. (2005) · Behaviour Research and Therapy · doi:10.1016/j.brat.2004.12.002 · Cited by 238 · see citing works
Brain connectomics predict response to treatment in social anxiety disorder
Whitfield-Gabrieli, S., Ghosh, S. S., Nieto-Castanon, A., Saygin, Z., Doehrmann, O., Chai, X. J., Reynolds, G. O., Hofmann, S. G., Pollack, M. H., & Gabrieli, J. D. E. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.109 · Cited by 210 · see citing works
Langenecker, S. A., Kennedy, S. E., Guidotti, L. M., Briceño, E. M., Own, L. S., Hooven, T. A., Young, E. A., Akil, H., Noll, D. C., & Zubieta, J. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.02.019 · Cited by 210 · see citing works
Self-citationToward 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
Face Emotion Perception and Executive Functioning Deficits in Depression
Langenecker, S. A., Bieliauskas, L. A., Rapport, L. J., Zubieta, J., Wilde, E. A., & Berent, S. (2005) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803390490490515720 · Cited by 206 · see citing works
Self-citationPrognostic prediction of therapeutic response in depression using high-field MR imaging
Gong, Q., Wu, Q., Scarpazza, C., Lui, S., Jia, Z., Marquand, A. F., Huang, X., McGuire, P. K., & Mechelli, A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.079 · Cited by 202 · see citing works
Forbes, E. E., Olino, T. M., Ryan, N. D., Birmaher, B., Axelson, D., Moyles, D. L., & Dahl, R. E. (2010) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.10.1.107 · Cited by 178 · see citing works
Roy, M., Harvey, P., Berlim, M. T., Mamdani, F., Beaulieu, M.-M., Turecki, G., & Lepage, M. (2010) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.090010 · Cited by 175 · see citing works
van Waarde, J. A., Scholte, H. S., van Oudheusden, L. J. B., Verwey, B., Denys, D. A. J. P., & van Wingen, G. A. (2014) · Molecular Psychiatry · doi:10.1038/mp.2014.78 · Cited by 163 · see citing works
Langenecker, S. A., Zubieta, J., Young, E. A., Akil, H., & Nielson, K. A. (2007) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803390601147611 · Cited by 156 · see citing works
Self-citationIncreased Default Mode Network Connectivity in Individuals at High Familial Risk for Depression
Posner, J. E., Cha, J., Wang, Z., Talati, A., Warner, V., Gerber, A. J., Peterson, B. S., & Weissman, M. M. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.342 · Cited by 153 · see citing works
Association Between Placebo-Activated Neural Systems and Antidepressant Responses
Peciña, M., Bohnert, A. M., Sikora, M., Avery, E. T., Langenecker, S. A., Mickey, B. J., & Zubieta, J. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.1335 · Cited by 152 · see citing works
Self-citationJenkins, L. M., Barba, A., Campbell, M. L., Lamar, M., Shankman, S. A., Leow, A., Ajilore, O., & Langenecker, S. A. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.09.001 · Cited by 147 · see citing works
Self-citationDichter, G. S., Felder, J. N., & Smoski, M. J. (2010) · Journal of Affective Disorders · doi:10.1016/j.jad.2010.03.022 · Cited by 139 · see citing works
Dunlop, B. W., Binder, E. B., Cubells, J. F., Goodman, M. M., Kelley, M. E., Kinkead, B., Kutner, M., Nemeroff, C. B., Newport, D. J., Owens, M. J., et al. (2012) · Trials · doi:10.1186/1745-6215-13-106 · Cited by 136 · see citing works
Systemic inflammation and resting state connectivity of the default mode network
Marsland, A. L., Kuan, D. C.-H., Sheu, L. K., Krajina, K., Kraynak, T. E., Manuck, S. B., & Gianaros, P. J. (2017) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2017.01.013 · Cited by 134 · see citing works
Learning as a Model for Neural Plasticity in Major Depression
Nissen, C., Holz, J., Jens Blechert, A., Feige, B., Riemann, D. W., Voderholzer, U., & Normann, C. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.05.026 · Cited by 125 · see citing works
Neural and behavioral effects of interference resolution in depression and rumination
Berman, M. G., Nee, D. E., Casement, M. D., Kim, H. S., Deldin, P. J., Kross, E. F., Gonzalez, R., Demiralp, E., Gotlib, I. H., Hamilton, J. P., et al. (2010) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-010-0014-x · Cited by 111 · see citing works
Jacobs, R. H., Watkins, E. R., Peters, A. T., Feldhaus, C. G., Barba, A., Carbray, J. A., & Langenecker, S. A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0163952 · Cited by 110 · see citing works
Self-citationJacobs, R. H., Jenkins, L. M., Gabriel, L. B., Barba, A., Ryan, K. A., Weisenbach, S. L., Verges, A., Baker, A. M., Peters, A. T., Crane, N. A., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104366 · Cited by 109 · see citing works
Self-citationJacobs, R. H., Barba, A., Gowins, J. R., Klumpp, H., Jenkins, L. M., Mickey, B. J., Ajilore, O., Peciña, M., Sikora, M., Ryan, K. A., et al. (2016) · Psychological Medicine · doi:10.1017/s0033291715002615 · Cited by 108 · see citing works
Self-citationStange, J. P., Bessette, K. L., Jenkins, L. M., Peters, A. T., Feldhaus, C. G., Crane, N. A., Ajilore, O., Jacobs, R. H., Watkins, E. R., & Langenecker, S. A. (2017) · Human Brain Mapping · doi:10.1002/hbm.23564 · Cited by 106 · see citing works
Self-citationNeural Correlates of Three Promising Endophenotypes of Depression: Evidence from the EMBARC Study
Webb, C. A., Dillon, D. G., Pechtel, P., Goer, F. K., Murray, L., Huys, Q. J., Fava, M., McGrath, P. J., Weissman, M., Parsey, R., et al. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2015.165 · Cited by 103 · see citing works
Burkhouse, K. L., Kujawa, A., Kennedy, A. E., Shankman, S. A., Langenecker, S. A., Phan, K. L., & Klumpp, H. (2016) · Depression and Anxiety · doi:10.1002/da.22482 · Cited by 103 · see citing works
Self-citationCarl, H., Walsh, E. C., Eisenlohr-Moul, T. A., Minkel, J. D., Crowther, A., Moore, T. M., Gibbs, D. E., Petty, C., Bizzell, J., Dichter, G. S., et al. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.06.005 · Cited by 95 · see citing works
de Kwaasteniet, B. P., Rive, M. M., Ruhé, H. G., Schene, A. H., Veltman, D. J., Fellinger, L., van Wingen, G. A., & Denys, D. A. J. P. (2015) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2015.00028 · Cited by 78 · see citing works
Thompson, D. G., Kesler, S. R., Sudheimer, K., Mehta, K. M., Thompson, L. W., Marquett, R. M., Holland, J. M., Reiser, R., Rasgon, N., Schatzberg, A., et al. (2015) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2014.02.001 · Cited by 74 · see citing works
Ge, R., Blumberger, D. M., Downar, J. H., Daskalakis, Z. J., Dipinto, A. A., Tham, J. C. W., Lam, R. W. M., & Vila‐Rodriguez, F. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.04.060 · Cited by 72 · see citing works
Crane, N. A., Jenkins, L. M., Bhaumik, R., Dion, C., Gowins, J. R., Mickey, B. J., Zubieta, J., & Langenecker, S. A. (2017) · Brain · doi:10.1093/brain/aww326 · Cited by 71 · see citing works
Self-citationWessa, M., & Lois, G. (2015) · Current Neuropharmacology · doi:10.2174/1570159x13666150416224801 · Cited by 67 · see citing works
Klumpp, H., Keutmann, M. K., Fitzgerald, D. A., Shankman, S. A., & Phan, K. L. (2014) · Biology of Mood & Anxiety Disorders · doi:10.1186/s13587-014-0014-5 · Cited by 65 · see citing works
Self-citationFischer, A. S., Keller, C. J., & Etkin, A. (2016) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.02.004 · Cited by 60 · see citing works
Klumpp, H., Fitzgerald, J. M., Kinney, K. L., Kennedy, A. E., Shankman, S. A., Langenecker, S. A., & Phan, K. L. (2017) · NeuroImage: Clinical · doi:10.1016/j.nicl.2017.04.006 · Cited by 59 · see citing works
Self-citationWalsh, E. C., Carl, H., Eisenlohr-Moul, T. A., Minkel, J. D., Crowther, A., Moore, T. M., Gibbs, D. E., Petty, C., Bizzell, J., Smoski, M. J., et al. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2016.179 · Cited by 56 · see citing works
Comorbid anxiety increases cognitive control activation in Major Depressive Disorder
Crane, N. A., Jenkins, L. M., Dion, C., Meyers, K. K., Weldon, A. L., Gabriel, L. B., Walker, S. J., Hsu, D. T., Noll, D. C., Klumpp, H., et al. (2016) · Depression and Anxiety · doi:10.1002/da.22541 · Cited by 53 · see citing works
Self-citationTransdiagnostic neural correlates of affective face processing in anxiety and depression
MacNamara, A., Klumpp, H., Kennedy, A. E., Langenecker, S. A., & Phan, K. L. (2017) · Depression and Anxiety · doi:10.1002/da.22631 · Cited by 53 · see citing works
Self-citationRelating semantic and episodic memory systems
Menon, V., Anderson, J. M. B., Schatzberg, A. F., & Reiss, A. L. (2002) · Cognitive Brain Research · doi:10.1016/s0926-6410(01)00120-3 · Cited by 52 · see citing works
Magnetic Resonance Imaging Predictors of Treatment Response in Late-Life Depression
Aizenstein, H. J., Khalaf, A. M., Walker, S. E., & Andreescu, C. (2013) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988713516541 · Cited by 52 · see citing works
Self-citationFilkowski, M. M., & Haas, B. W. (2016) · Journal of Neuroimaging · doi:10.1111/jon.12403 · Cited by 43 · see citing works
Functional genetic variants in the vesicular monoamine transporter 1 modulate emotion processing
Lohoff, F. W., Hodge, R., Narasimhan, S., Nall, A. H., Ferraro, T. N., Mickey, B. J., Heitzeg, M. M., Langenecker, S. A., Zubieta, J.-K., Bogdan, R., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.193 · Cited by 40 · see citing works
Self-citationExecutive Functioning at Baseline Prospectively Predicts Depression Treatment Response
Dawson, E. L., Caveney, A. F., Meyers, K. K., Weisenbach, S. L., Giordani, B., Avery, E. T., Schallmo, M., Bahadori, A., Bieliauskas, L. A., Mordhorst, M. J., et al. (2017) · The Primary Care Companion For CNS Disorders · doi:10.4088/pcc.16m01949 · Cited by 29 · see citing works
Self-citationGorka, S. M., Burkhouse, K. L., Klumpp, H., Kennedy, A. E., Afshar, K., Francis, J., Ajilore, O., Mariouw, S., Craske, M. G., Langenecker, S. A., et al. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.289 · Cited by 29 · see citing works
Self-citationDelDonno, S. R., Mickey, B. J., Pruitt, P. J., Stange, J. P., Hsu, D. T., Weldon, A. L., Zubieta, J.-K., & Langenecker, S. A. (2019) · Biological Psychology · doi:10.1016/j.biopsycho.2019.05.009 · Cited by 26 · see citing works
Self-citationStange, J. P., Jenkins, L. M., Hamlat, E. J., Bessette, K. L., DelDonno, S. R., Kling, L. R., Passarotti, A. M., Phan, K. L., Klumpp, H., Ryan, K. A., et al. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.10.018 · Cited by 24 · see citing works
Self-citationDelDonno, S. R., Weldon, A. L., Crane, N. A., Passarotti, A. M., Pruitt, P. J., Gabriel, L. B., Yau, W., Meyers, K. K., Hsu, D. T., Taylor, S. F., et al. (2015) · Psychiatry Research · doi:10.1016/j.psychres.2015.08.011 · Cited by 18 · see citing works
Self-citationLangenecker, S. A., Crane, N. A., Jenkins, L. M., Phan, K. L., & Klumpp, H. (2018) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-018-0140-2 · Cited by 11 · see citing works
Self-citationBorairi, S., & Dougherty, D. D. (2011) · Harvard Review of Psychiatry · doi:10.3109/10673229.2011.581888 · Cited by 9 · see citing works
Crane, N. A., Verges, A. J., Kamali, M., Bhaumik, R., Ryan, K. A., Marshall, D., Saunders, E. F. H., Kassel, M. T., Weldon, A. L., McInnis, M. G., et al. (2018) · Assessment · doi:10.1177/1073191118754704 · Cited by 9 · see citing works
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SSRI Treatment Response Prediction in Depression Based on Brain Activation by Emotional Stimuli
Preuss, A., Bolliger, B., Schicho, W., Hättenschwiler, J., Seifritz, E., Brühl, A. B., & Herwig, U. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.538393 · Cited by 22 · see citing works
“In their treatment response prediction study with a face matching task (11) found a significant positive treatment response prediction for angry faces, and an inverse association with fearful faces.”
BackgroundCognitive Control as a 5-HT1A-Based Domain That Is Disrupted in Major Depressive Disorder
Langenecker, S. A., Mickey, B. J., Eichhammer, P., Sen, S., Elverman, K. H., Kennedy, S. E., Heitzeg, M. M., Ribeiro, S. M., Love, T. M., Hsu, D. T., et al. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00691 · Cited by 18 · see citing works
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- Authors
- Langenecker, S. A., Klumpp, H., Peters, A. T., Crane, N. A., DelDonno, S. R., Bessette, K. L., Ajilore, O., Leow, A., Shankman, S. A., Walker, S. J., Ransom, M. T., Hsu, D. T., Phan, K. L., Zubieta, J.-K., Mickey, B. J., & Stange, J. P.
- Affiliations
- University of Michigan (US)
- University of Illinois Chicago (US)
- Oregon Health & Science University (US)
- University of Utah (US)
- Corresponding author
- Langenecker, Scott A.
- ORCID
- Venue
- Progress in Neuro-Psychopharmacology and Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 91
- Pages
- 38-48
- ISSN
- 0278-5846 (ISSN-L)
- PMC
- PMC6556149
- OpenAlex
- W2884426013
- Cited by
- 11
- References
- 76
- Citations by year
- 2025: 1 · 2023: 2 · 2022: 1 · 2021: 1 · 2020: 3 · 2019: 2 · 2018: 1
- FWCI
- 1.13
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Progress in Neuro-Psychopharmacology and Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (UL1TR000433, UL1TR002240)
- National Institute of Mental Health (K23MH074459, R01MH101487)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- major depressive disorder, treatment response prediction, antidepressant response, duloxetine, escitalopram, emotional processing, reward anticipation, cognitive control, resting-state functional connectivity, inhibition, multiple testing correction
- MeSH terms
- Duloxetine Hydrochloride, Adult, Antidepressive Agents, Brain, Major Depressive Disorder, Emotions, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Photic Stimulation, Predictive Value of Tests, Psychomotor Performance, Citalopram, Treatment Outcome, Neuroimaging
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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.
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