Medial reward and lateral non-reward orbitofrontal cortex circuits change in opposite directions in depression
Open accessAbstract
The first brain-wide voxel-level resting state functional connectivity neuroimaging analysis of depression is reported, with 421 patients with major depressive disorder and 488 control subjects. Resting state functional connectivity between different voxels reflects correlations of activity between those voxels and is a fundamental tool in helping to understand the brain regions with altered connectivity and function in depression. One major circuit with altered functional connectivity involved the medial orbitofrontal cortex Brodmann area 13, which is implicated in reward, and which had reduced functional connectivity in depression with memory systems in the parahippocampal gyrus and medial temporal lobe, especially involving the perirhinal cortex Brodmann area 36 and entorhinal cortex Brodmann area 28. The Hamilton Depression Rating Scale scores were correlated with weakened functional connectivity of the medial orbitofrontal cortex Brodmann area 13. Thus in depression there is decreased reward-related and memory system functional connectivity, and this is related to the depressed symptoms. The lateral orbitofrontal cortex Brodmann area 47/12, involved in non-reward and punishing events, did not have this reduced functional connectivity with memory systems. Second, the lateral orbitofrontal cortex Brodmann area 47/12 had increased functional connectivity with the precuneus, the angular gyrus, and the temporal visual cortex Brodmann area 21. This enhanced functional connectivity of the non-reward/punishment system (Brodmann area 47/12) with the precuneus (involved in the sense of self and agency), and the angular gyrus (involved in language) is thus related to the explicit affectively negative sense of the self, and of self-esteem, in depression. A comparison of the functional connectivity in 185 depressed patients not receiving medication and 182 patients receiving medication showed that the functional connectivity of the lateral orbitofrontal cortex Brodmann area 47/12 with these three brain areas was lower in the medicated than the unmedicated patients. This is consistent with the hypothesis that the increased functional connectivity of the lateral orbitofrontal cortex Brodmann area 47/12 is related to depression. Relating the changes in cortical connectivity to our understanding of the functions of different parts of the orbitofrontal cortex in emotion helps to provide new insight into the brain changes related to depression.
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?
In a sample of 421 individuals with major depressive disorder and 488 healthy controls, reduced resting state functional connectivity emerged between the central orbitofrontal cortex and memory-related regions, with increasingly weaker connectivity correlating with higher depression severity.
“In a sample of 421 individuals with MDD and 488 healthy controls, reduced rsFC emerged in MDD between the central OFC (BA13) and memory-related regions (e.g., parahippocampal gyrus), with increasingly weaker rsFC correlating with higher depression severity [71].”
From Prefrontal cortex and depression (2022) · cites this paper as [71]
Human prefrontal activity increases more for happy stimuli than for sad stimuli.
“Activity in the human PFC is increased by 'happy' stimuli to a greater extent than it is for 'sad' stimuli and these responses are altered in depressed and anhedonic patients [180-182], consistent with alterations in PFC circuit function.”
From Plasticity of synapses and reward circuit function in the genesis and treatment of depression (2023) · cites this paper as [181]
Prefrontal responses to happy and sad stimuli are altered in depressed and anhedonic patients.
“Activity in the human PFC is increased by 'happy' stimuli to a greater extent than it is for 'sad' stimuli and these responses are altered in depressed and anhedonic patients [180-182], consistent with alterations in PFC circuit function.”
From Plasticity of synapses and reward circuit function in the genesis and treatment of depression (2023) · cites this paper as [181]
These altered prefrontal responses are consistent with altered prefrontal circuit function.
“Activity in the human PFC is increased by 'happy' stimuli to a greater extent than it is for 'sad' stimuli and these responses are altered in depressed and anhedonic patients [180-182], consistent with alterations in PFC circuit function.”
From Plasticity of synapses and reward circuit function in the genesis and treatment of depression (2023) · cites this paper as [181]
In large cohort, significant reduction in functional connectivity of medial OFC, BA 13, in MDD vs controls.
“A recent investigation in a large cohort of 421 MDD patients and 488 controls using a “brain-wide” voxel level analysis found a significant reduction in functional connectivity of the medial OFC, BA 13, which is known to be linked to reward processing (Cheng et al., 2016).”
From Circuit Mechanisms of Reward, Anhedonia, and Depression (2019) · cites this paper as Cheng et al., 2016
The lateral OFC functional connectivity links described were less high if the patients were receiving antidepressant medication.
“The differences in orbitofrontal connectivity with these brain regions were related to the depression by evidence that the symptoms of depression were correlated with these differences of functional connectivity; and that the lateral OFC functional connectivity links described were less high if the patients were receiving antidepressant medication (Cheng et al., 2016).”
From The orbitofrontal cortex: reward, emotion and depression (2020) · cites this paper as Cheng et al., 2016
The lateral OFC area BA 47/12 had increased functional connectivity with the precuneus, the angular gyrus and the temporal visual cortex BA 21 in depression.
“A second major circuit change was that the lateral OFC area BA 47/12 had increased functional connectivity with the precuneus, the angular gyrus and the temporal visual cortex BA 21 (Cheng et al., 2016) (Fig. 7).”
From The orbitofrontal cortex: reward, emotion and depression (2020) · cites this paper as Cheng et al., 2016
The lateral OFC BA 47/12 did not have this reduced functional connectivity with memory systems, so that there is an imbalance in depression towards decreased reward-related connectivity with the medial temporal lobe memory system.
“The lateral OFC BA 47/12, involved in non-reward and punishing events, did not have this reduced functional connectivity with memory systems, so that there is an imbalance in depression towards decreased reward-related connectivity with the medial temporal lobe memory system.”
From The orbitofrontal cortex: reward, emotion and depression (2020) · cites this paper as Cheng et al., 2016
The symptoms of depression were correlated with the differences in orbitofrontal functional connectivity.
“The differences in orbitofrontal connectivity with these brain regions were related to the depression by evidence that the symptoms of depression were correlated with these differences of functional connectivity; and that the lateral OFC functional connectivity links described were less high if the patients were receiving antidepressant medication (Cheng et al., 2016).”
From The orbitofrontal cortex: reward, emotion and depression (2020) · cites this paper as Cheng et al., 2016
In a study with 421 patients with major depressive disorder and 488 controls, the medial OFC BA 13 had reduced functional connectivity in depression with memory systems in the parahippocampal gyrus and medial temporal lobe.
“In the first brain-wide voxel-level resting-state functional connectivity neuroimaging analysis of depression (with 421 patients with major depressive disorder and 488 controls), we found that one major circuit with altered functional connectivity involved the medial OFC BA 13, which had reduced functional connectivity in depression with memory systems in the parahippocampal gyrus and medial”
From The orbitofrontal cortex: reward, emotion and depression (2020) · cites this paper as Cheng et al., 2016
Voxels in the medial OFC had lower functional connectivity with the parahippocampal gyrus/medial temporal lobe memory system in depression.
“We found that voxels in the medial OFC had lower functional connectivity with the parahippocampal gyrus/medial temporal lobe memory system (Cheng et al., 2016) (Fig. 7), and interpreted this as resulting in fewer happy memories being recalled, as the medial OFC has activations that correlate with subjective pleasantness, as described above, and the parahippocampal gyrus is a pathway in the”
From The orbitofrontal cortex: reward, emotion and depression (2020) · cites this paper as Cheng et al., 2016
This may relate to representations of the sense of self, which become more negative in depression.
“this may relate to representations of the sense of self (Cavanna and Trimble, 2006), which become more negative in depression (Cheng et al., 2016; Rolls, 2016a).”
From The orbitofrontal cortex: reward, emotion and depression (2020) · cites this paper as Cheng et al., 2016
Treatment with antidepressant drugs decreases the activity and functional connectivity of the non-reward lateral orbitofrontal cortex system.
“Treatment with antidepressant drugs decreases the activity (Ma, 2015) and functional connectivity (Cheng et al., 2016, 2018b,c; Rolls et al., 2019, 2020a) of the non-reward lateral OFC system.”
From The orbitofrontal cortex: reward, emotion and depression (2020) · cites this paper as Cheng et al., 2016
It is part of the long-loop interactions between attractor networks that are proposed to contribute to increased rumination in depression.
“it is part of the long-loop interactions between attractor networks that are proposed to contribute to increased rumination in depression (Cheng et al., 2016; Rolls, 2016a, 2021a).”
From The orbitofrontal cortex: reward, emotion and depression (2020) · cites this paper as Cheng et al., 2016
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
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817 · see citing works
Cognitive Therapy for Depression
(2012) · PsycEXTRA Dataset · doi:10.1037/e675542012-001 · Cited by 9,678 · see citing works
Power failure: why small sample size undermines the reliability of neuroscience
Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3475 · Cited by 7,641 · cited 2× · see citing works
“…Taipei, Taiwan, E-mail: cplin@ym.edu.tw Keywords: depression; orbitofrontal cortex; functional connectivity; medial temporal lobe; precuneus Abbreviations: BWAS = brain-wide association study; HAMD = Hamilton Depression Rating Scale; OFC = orbitofrontal cortex; MDD = major depressive…”
BackgroundMethodThe precuneus: a review of its functional anatomy and behavioural correlates
Cavanna, A. E., & Trimble, M. R. (2006) · Brain · doi:10.1093/brain/awl004 · Cited by 5,128 · see citing works
Movement‐Related effects in fMRI time‐series
Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S. J., & Turner, R. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350312 · Cited by 3,774 · see citing works
Methods to detect, characterize, and remove motion artifact in resting state fMRI
Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.048 · Cited by 3,748 · see citing works
Imaging Cognition II: An Empirical Review of 275 PET and fMRI Studies
Cabeza, R., & Nyberg, L. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/08989290051137585 · Cited by 3,598 · see citing works
DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI
Yan (2010) · Frontiers in System Neuroscience · doi:10.3389/fnsys.2010.00013 · Cited by 3,475 · see citing works
Searching for a baseline: Functional imaging and the resting human brain
Gusnard, D. A., & Raichle, M. E. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094500 · Cited by 3,371 · see citing works
Subgenual prefrontal cortex abnormalities in mood disorders
Drevets, W. C., Price, J. L., Simpson, J. R., Todd, R. D., Reich, T., Vannier, M., & Raichle, M. E. (1997) · Nature · doi:10.1038/386824a0 · Cited by 2,693 · see citing works
Kaiser, R. H., Andrews-Hanna, J. R., Wager, T. D., & Pizzagalli, D. A. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.0071 · Cited by 2,281 · see citing works
Abstract reward and punishment representations in the human orbitofrontal cortex
O'Doherty, J., Kringelbach, M. L., Rolls, E. T., Hornak, J., & Andrews, C. (2001) · Nature Neuroscience · doi:10.1038/82959 · Cited by 2,003 · see citing works
Self-citationThe brain reward circuitry in mood disorders
Russo, S. J., & Nestler, E. J. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3381 · Cited by 1,870 · see citing works
Assessment of Depression: The Depression Inventory
Beck, A. T., & Beamesderfer, A. (2015) · Modern problems of pharmacopsychiatry/Modern trends in pharmacopsychiatry · doi:10.1159/000395074 · Cited by 1,834 · 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
Neurocircuitry of Mood Disorders
Price, J. L., & Drevets, W. C. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.104 · Cited by 1,606 · cited 6× · see citing works
“…(Sheline et al., 2010; Disner et al., 2011), self-referential processes (medial prefrontal cortex, precuneus and posterior cingulate cortex) (Price and Drevets, 2010; Sheline et al., 2010; Kuhn and Gallinat, 2013), cognitive functions such as memory (hippocampus, parahippocampal cortex)…”
BackgroundInfluentialThe Evolution of the Cognitive Model of Depression and Its Neurobiological Correlates
Beck, A. T. (2008) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.08050721 · Cited by 1,537 · see citing works
Neuroimaging studies of mood disorders
Drevets, W. C. (2000) · Biological Psychiatry · doi:10.1016/s0006-3223(00)01020-9 · Cited by 1,313 · see citing works
A functional anatomical study of unipolar depression
Drevets, W., Videen, T., Price, J., Preskorn, S., Carmichael, S., & Raichle, M. (1992) · The Journal of Neuroscience · doi:10.1523/jneurosci.12-09-03628.1992 · Cited by 1,266 · see citing works
Sheline, Y. I., Price, J. L., Yan, Z., & Mintun, M. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000446107 · Cited by 1,196 · see citing works
Seligman, M. E. P. (1972) · Annual Review of Medicine · doi:10.1146/annurev.me.23.020172.002203 · Cited by 1,160 · see citing works
Gotlib, I. H., & Hammen, C. L. (2002) · Cited by 980 · see citing works
Architectonic subdivision of the human orbital and medial prefrontal cortex
Öngür, D., Ferry, A. T., & Price, J. L. (2003) · Journal of Comparative Neurology · doi:10.1002/cne.10609 · Cited by 944 · see citing works
Hamilton, J. P., Etkin, A., Furman, D. J., Lemus, M. G., Johnson, R. F., & Gotlib, I. H. (2012) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.11071105 · Cited by 866 · see citing works
Value, pleasure and choice in the ventral prefrontal cortex
Grabenhorst, F., & Rolls, E. T. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.12.004 · Cited by 766 · see citing works
Self-citationWhole brain resting-state analysis reveals decreased functional connectivity in major depression
Veer, I. M. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00041 · Cited by 753 · see citing works
Reward processing dysfunction in major depression, bipolar disorder and schizophrenia
Whitton, A. E., Treadway, M. T., & Pizzagalli, D. A. (2014) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000122 · Cited by 740 · see citing works
Wittmann, B. C., Schott, B. H., Guderian, S., Frey, J. U., Heinze, H.-J., & Düzel, E. (2005) · Neuron · doi:10.1016/j.neuron.2005.01.010 · Cited by 698 · see citing works
Rolls, E. T., Joliot, M., & Tzourio‐Mazoyer, N. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.075 · Cited by 686 · see citing works
Self-citationGlahn, D. C., Laird, A. R., Ellison-Wright, I., Thelen, S. M., Robinson, J. L., Lancaster, J. L., Bullmore, E. T., & Fox, P. T. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.03.031 · Cited by 627 · see citing works
Felger, J. C., Li, Z., Haroon, E., Woolwine, B. J., Jung, M. Y., Hu, X., & Miller, A. H. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.168 · Cited by 620 · see citing works
Reward and Punishment Processing in Depression
Eshel, N., & Roiser, J. P. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.01.027 · Cited by 575 · see citing works
Johansen‐Berg, H., Behrens, T. E. J., Sillery, E., Ciccarelli, O., Thompson, A. J., Smith, S. M., & Matthews, P. M. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh105 · Cited by 563 · see citing works
Lorenzetti, V., Allen, N. B., Fornito, A., & Yücel, M. (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2008.11.021 · Cited by 553 · see citing works
Emotion and Decision-making Explained
Rolls, E. T. (2013) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199659890.001.0001 · Cited by 445 · see citing works
Self-citationOrbitofrontal cortex function and structure in depression
DREVETS, W. C. (2007) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1401.029 · Cited by 417 · see citing works
Deco, G., & Kringelbach, M. L. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.034 · Cited by 402 · see citing works
Ballmaier, M., Toga, A. W., Blanton, R. E., Sowell, E. R., Lavretsky, H., Peterson, J. R., Pham, D. L., & Kumar, A. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.1.99 · Cited by 384 · see citing works
A computational theory of hippocampal function, and tests of the theory: New developments
Kesner, R. P., & Rolls, E. T. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.11.009 · Cited by 347 · see citing works
Self-citationBell-McGinty, S., Butters, M. A., Meltzer, C. C., Greer, P. J., Reynolds, C. F., & Becker, J. T. (2002) · American Journal of Psychiatry · doi:10.1176/appi.ajp.159.8.1424 · Cited by 338 · see citing works
Konrad, K., Neufang, S., Hanisch, C., Fink, G. R., & Herpertz-Dahlmann, B. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.08.013 · Cited by 335 · see citing works
A systematic review of resting-state functional-MRI studies in major depression
Wang, L., Hermens, D. F., Hickie, I. B., & Lagopoulos, J. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.04.013 · Cited by 333 · see citing works
Neural correlates of rapid reversal learning in a simple model of human social interaction
Kringelbach, M. L., & Rolls, E. T. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00393-8 · Cited by 306 · see citing works
Self-citationHamilton, J. P., Chen, M. C., & Gotlib, I. H. (2013) · Neurobiology of Disease · doi:10.1016/j.nbd.2012.01.015 · Cited by 293 · see citing works
Resting-State Brain Activity in Schizophrenia and Major Depression: A Quantitative Meta-Analysis
Kühn, S., & Gallinat, J. (2011) · Schizophrenia Bulletin · doi:10.1093/schbul/sbr151 · Cited by 287 · see citing works
Neuropsychological mechanism underlying antidepressant effect: a systematic meta-analysis
Ma, Y. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.24 · Cited by 270 · see citing works
Cheng, W., Rolls, E. T., Gu, H., Zhang, J., & Feng, J. (2015) · Brain · doi:10.1093/brain/awv051 · Cited by 262 · see citing works
Self-citationMeta-analysis of fMRI studies of timing in attention-deficit hyperactivity disorder (ADHD)
Hart, H., Radua, J., Mataix-Cols, D., & Rubia, K. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.08.003 · Cited by 258 · see citing works
Localized connectivity in depression: A meta-analysis of resting state functional imaging studies
Iwabuchi, S. J., Krishnadas, R., Li, C., Auer, D. P., Raduà, J., & Palaniyappan, L. K. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.01.006 · Cited by 257 · see citing works
Kondo, H., Saleem, K. S., & Price, J. L. (2005) · Journal of Comparative Neurology · doi:10.1002/cne.20796 · Cited by 236 · see citing works
6 Combination of independent tests
Folks, J. L. (1984) · Handbook of statistics · doi:10.1016/s0169-7161(84)04008-6 · Cited by 234 · see citing works
Meta-analysis of functional neuroimaging of major depressive disorder in youth
Miller, C. H., Hamilton, J. P., Sacchet, M. D., & Gotlib, I. H. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.1376 · Cited by 229 · see citing works
Depression: a decision-theoretic analysis
Huys, Q. J. M., Daw, N. D., & Dayan, P. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-033928 · Cited by 221 · see citing works
Cerebral cortex : principles of operation
Rolls, E. T. (2016) · doi:10.82444/warw.33712699 · Cited by 187 · see citing works
Self-citationHarmer, C. J., & Cowen, P. J. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2012.0407 · Cited by 183 · see citing works
A non-reward attractor theory of depression
Rolls, E. T. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.05.007 · Cited by 180 · see citing works
Self-citationInvariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet
Rolls, E. T. (2012) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2012.00035 · Cited by 169 · see citing works
Self-citationNeural Processing of Reward and Punishment in Young People at Increased Familial Risk of Depression
McCabe, C., Woffindale, C., Harmer, C. J., & Cowen, P. J. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.04.034 · Cited by 152 · see citing works
de Diego-Adeliño, J., Pires, P., Gómez‐Ansón, B., Serra-Blasco, M., Vives‐Gilabert, Y., Puigdemont, D., Martín‐Blanco, A., Álvarez, E., Pérez, V., & Portella, M. J. (2013) · Psychological Medicine · doi:10.1017/s003329171300158x · Cited by 147 · see citing works
Rigucci, S., Serafini, G., Pompili, M., Kotzalidis, G. D., & Tatarelli, R. (2010) · The World Journal of Biological Psychiatry · doi:10.3109/15622970903131571 · Cited by 117 · see citing works
Rolls, E. T. (2016) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198784852.001.0001 · Cited by 116 · see citing works
Self-citationSundermann, B., Beverborg, M. O. L., & Pfleiderer, B. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00692 · Cited by 109 · see citing works
Yu, K., Cheung, C., Chua, S. E., & McAlonan, G. M. (2011) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.100138 · Cited by 107 · see citing works
Wegener, I., Geiser, F., Alfter, S., Mierke, J., Imbierowicz, K., Kleiman, A., Koch, A. S., & Conrad, R. (2014) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2014.12.001 · Cited by 30 · see citing works
Young, K. D., Bellgowan, P. S. F., Bodurka, J., & Drevets, W. C. (2015) · Brain Sciences · doi:10.3390/brainsci5020144 · Cited by 25 · see citing works
Neuroimaging Studies of Mood Disorders
Drevets, W. C., Gadde, K. M., & Krishnan, K. R. R. (2011) · Oxford University Press eBooks · doi:10.1093/med/9780199798261.003.0031 · Cited by 16 · see citing works
Flagged first, then by citations
Research works printed but not linked: 4
- [3]3. Beck AT. Cognitive therapy of depression. New York: Guilford Press; 1979.
- [25]25. Hamilton JP, Etkin A, Furman DJ, Lemus MG, Johnson RF, Gotlib IH. Functional neuroimaging of MDD: a meta-analysis and new integration of base line activation and neural response data. Am J Psychiatry 2012; 169: 693-703.
- [26]26. Hamilton JP, Chen MC, Gotlib IH. Neural systems approaches to understanding MDD: an intrinsic functional organization perspec- tive. Neurobiol Dis 2013; 52: 4-11.
- [40]40. Lorenzetti V, Allen NB, Fornito A, Yucel M. Structural brain abnorm- alities in MDD: a selective review of recent MRI studies. J Affect Disord 2009; 117: 1-17.
Cited by
Sorted by citations
Prefrontal cortex and depression
Pizzagalli, D. A., & Roberts, A. C. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01101-7 · Cited by 644 · see citing works
The orbitofrontal cortex: reward, emotion and depression
Rolls, E. T., Cheng, W., & Feng, J. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa196 · Cited by 474 · see citing works
Self-citationFettes, P., Schulze, L., & Downar, J. (2017) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2017.00025 · Cited by 299 · see citing works
Cheng, W., Rolls, E. T., Ruan, H., & Feng, J. (2018) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2018.1941 · Cited by 291 · see citing works
Circuit Mechanisms of Reward, Anhedonia, and Depression
Höflich, A., Michenthaler, P., Kasper, S., & Lanzenberger, R. (2019) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyy081 · Cited by 253 · see citing works
Sleep duration, brain structure, and psychiatric and cognitive problems in children
Cheng, W., Rolls, E., Gong, W., Du, J., Zhang, J., Zhang, X.-Y., Li, F., & Feng, J. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-0663-2 · Cited by 196 · see citing works
A non-reward attractor theory of depression
Rolls, E. T. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.05.007 · Cited by 180 · see citing works
Self-citationRao, V. R., Sellers, K. K., Wallace, D. L., Lee, M. B., Bijanzadeh, M., Sani, O. G., Yang, Y., Shanechi, M. M., Dawes, H. E., & Chang, E. F. (2018) · Current Biology · doi:10.1016/j.cub.2018.10.026 · Cited by 181 · see citing works
Feffer, K., Fettes, P., Giacobbe, P., Daskalakis, Z. J., Blumberger, D. M., & Downar, J. (2018) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2017.11.011 · Cited by 116 · see citing works
Li, X., & Wang, J. (2021) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00299-2 · Cited by 89 · see citing works
Ray, D., Bezmaternykh, D., Mel’nikov, M., Friston, K. J., & Das, M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2105730118 · Cited by 73 · see citing works
Connections of the human orbitofrontal cortex and inferior frontal gyrus
Heather Hsu, C.-C., Rolls, E. T., Huang, C.-C., Chong, S. T., Zac Lo, C.-Y., Feng, J., & Lin, C.-P. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa160 · Cited by 67 · see citing works
Self-citationHervig, M. E., Fiddian, L., Piilgaard, L., Božič, T., Blanco-Pozo, M., Knudsen, C., Olesen, S. F., Alsiö, J., & Robbins, T. W. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhz144 · Cited by 65 · see citing works
Rolls, E. T. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.013 · Cited by 62 · see citing works
Reward Processing in Novelty Seekers: A Transdiagnostic Psychiatric Imaging Biomarker
Qi, S., Schumann, G., Bustillo, J., Turner, J. A., Jiang, R., Zhi, D., Fu, Z., Mayer, A. R., Vergara, V. M., Silva, R. F., et al. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.01.011 · Cited by 55 · see citing works
To be specific: The role of orbitofrontal cortex in signaling reward identity.
Howard, J. D., & Kahnt, T. (2021) · Behavioral Neuroscience · doi:10.1037/bne0000455 · Cited by 57 · see citing works
Yang, Y., Zhu, D.-M., Zhang, C., Zhang, Y., Wang, C., Zhang, B., Zhao, W., Zhu, J., & Yu, Y. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00050 · Cited by 57 · see citing works
Deng, W., Rolls, E. T., Ji, X., Robbins, T. W., Banaschewski, T., Bokde, A. L. W., Bromberg, U., Buechel, C., Desrivières, S., Conrod, P., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23607 · Cited by 57 · see citing works
Self-citationReconfiguration of Cortical Networks in MDD Uncovered by Multiscale Community Detection with fMRI
He, Y., Lim, S., Fortunato, S., Sporns, O., Zhang, L., Qiu, J., Xie, P., & Zuo, X.-N. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhx335 · Cited by 54 · see citing works
Self-citationPlasticity of synapses and reward circuit function in the genesis and treatment of depression
Thompson, S. M. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-022-01422-1 · Cited by 40 · see citing works
A translational perspective on the anti-anhedonic effect of ketamine and its neural underpinnings
Pulcu, E., Guinea, C., Cowen, P. J., Murphy, S. E., & Harmer, C. J. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01183-1 · Cited by 35 · see citing works
Ketamine Normalizes the Structural Alterations of Inferior Frontal Gyrus in Depression
Dai, D., Lacadie, C. M., Holmes, S. E., Cool, R., Anticevic, A., Averill, C., Abdallah, C., & Esterlis, I. (2020) · Chronic Stress · doi:10.1177/2470547020980681 · Cited by 34 · see citing works
Fettes, P., Peters, S., Giacobbe, P., Blumberger, D. M., & Downar, J. (2017) · Brain Stimulation · doi:10.1016/j.brs.2016.11.008 · Cited by 31 · see citing works
Orbitofrontal cortex: a ‘non-rewarding’ new treatment target in depression?
Downar, J. (2019) · Current Biology · doi:10.1016/j.cub.2018.11.057 · Cited by 31 · see citing works
Intrinsic Connectivity Networks of Glutamate-Mediated Antidepressant Response: A Neuroimaging Review
Demchenko, I., Tassone, V. K., Kennedy, S. H., Dunlop, K., & Bhat, V. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.864902 · Cited by 29 · see citing works
- Authors
- Cheng, W., Rolls, E. T., Qiu, J., Liu, W., Tang, Y., Huang, C.-C., Wang, X., Zhang, J., Lin, W., Zheng, L., Pu, J., Tsai, S.-J., Yang, A. C., Lin, C.-P., Wang, F., Xie, P., & Feng, J.
- Affiliations
- Fudan University (CN)
- University of Warwick (GB)
- Southwest University (CN)
- First Hospital of China Medical University (CN)
- National Yang Ming University (TW)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Taipei Veterans General Hospital (TW)
- Corresponding author
- Feng, Jianfeng
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-10-14
- Volume
- 139
- Issue
- 12
- Pages
- 3296-3309
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2526989977
- Cited by
- 294
- References
- 66
- Citations by year
- 2026: 18 · 2025: 30 · 2024: 29 · 2023: 29 · 2022: 40 · 2021: 38 · 2020: 32 · 2019: 24 · 2018: 31 · 2017: 18 · 2016: 5
- FWCI
- 16.55
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Brain (publishedVersion)
- PubMed (publishedVersion)
- Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Natural Science Foundation of China (81571311,, 61273014, 71661167002, NSFC 61104143, 31470981, 31271189, 81271499, 81571331, 31271087; 31470981; 31571137; 31500885, 31571137, 31271087; 31470981, 11322111, 31500885, 31271087, 61573107, 91230201, 11101429, 61104143, 11471081)
- National Science Council
- Academia Sinica (31500885, 31470981, 31571137, 31271087, AS-104-TP-B10)
- Chinese Academy of Sciences (91230201)
- China Postdoctoral Science Foundation (2015M572423)
- Ministry of Science and Technology, Taiwan (MOST104-2633-B400-001, MOST104-2221-E010-013)
- National Health Research Institutes
- Natural Science Foundation of Chongqing (cstc2015j-cyjA10106)
- Fundamental Research Funds for the Central Universities (SWU1509383, 31271087, 31500885, 31571137)
- National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Keywords
- major depressive disorder, resting-state functional connectivity, orbitofrontal cortex, medial orbitofrontal cortex, lateral orbitofrontal cortex, reward processing, memory systems, precuneus, angular gyrus, antidepressants, self-esteem
- MeSH terms
- Adult, Major Depressive Disorder, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Parietal Lobe, Reward, Self Concept, Cohort Studies, Prefrontal Cortex, Connectome
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
