Skip to main content

Advertisement

Log in

A Comprehensive Overview of the Role of Visual Cortex Malfunction in Depressive Disorders: Opportunities and Challenges

  • Review
  • Published:
Neuroscience Bulletin Aims and scope Submit manuscript

Abstract

Major depressive disorder (MDD) is a highly heterogeneous mental disorder, and its complex etiology and unclear mechanism are great obstacles to the diagnosis and treatment of the disease. Studies have shown that abnormal functions of the visual cortex have been reported in MDD patients, and the actions of several antidepressants coincide with improvements in the structure and synaptic functions of the visual cortex. In this review, we critically evaluate current evidence showing the involvement of the malfunctioning visual cortex in the pathophysiology and therapeutic process of depression. In addition, we discuss the molecular mechanisms of visual cortex dysfunction that may underlie the pathogenesis of MDD. Although the precise roles of visual cortex abnormalities in MDD remain uncertain, this undervalued brain region may become a novel area for the treatment of depressed patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

References

  1. World Health Organization. The Global Burden of Disease: 2004 Update. https://www.who.int/publications/i/item/9789241563710

  2. Krishnan V, Nestler EJ. Linking molecules to mood: new insight into the biology of depression. Am J Psychiatry 2010, 167: 1305–1320.

    Article  PubMed  PubMed Central  Google Scholar 

  3. COVID-19 Mental Disorders Collaborators. Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic. Lancet 2021, 398: 1700–1712.

    Article  Google Scholar 

  4. Gold PW. The PPARg system in major depression: pathophysiologic and therapeutic implications. Int J Mol Sci 2021, 22: 9248.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Sokolowska E, Viitanen R, Misiewicz Z, Mennesson M, Saarnio S, Kulesskaya N. The circadian gene cryptochrome 2 influences stress-induced brain activity and depressive-like behavior in mice. Genes Brain Behav 2021, 20: e12708.

    Article  CAS  PubMed  Google Scholar 

  6. Li Z, Ruan M, Chen J, Fang Y. Major depressive disorder: Advances in neuroscience research and translational applications. Neurosci Bull 2021, 37: 863–880.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Sanacora G, Gueorguieva R, Epperson CN, Wu YT, Appel M, Rothman DL, et al. Subtype-specific alterations of gamma-aminobutyric acid and glutamate in patients with major depression. Arch Gen Psychiatry 2004, 61: 705–713.

    Article  CAS  PubMed  Google Scholar 

  8. Ancelin ML, Carrière I, Artero S, Maller J, Meslin C, Ritchie K, et al. Lifetime major depression and grey-matter volume. J Psychiatry Neurosci 2019, 44: 45–53.

    Article  PubMed  Google Scholar 

  9. Rubin-Falcone H, Zanderigo F, Thapa-Chhetry B, Lan M, Miller JM, Sublette ME, et al. Pattern recognition of magnetic resonance imaging-based gray matter volume measurements classifies bipolar disorder and major depressive disorder. J Affect Disord 2018, 227: 498–505.

    Article  PubMed  Google Scholar 

  10. Tomoda A, Polcari A, Anderson CM, Teicher MH. Reduced visual cortex gray matter volume and thickness in young adults who witnessed domestic violence during childhood. PLoS One 2012, 7: e52528.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Dixson L, Ridler K, Nichols TE, Saemann PG, Auer DP, Holsboer F, et al. Thyroid hormone transporter genes and grey matter changes in patients with major depressive disorder and healthy controls. Psychoneuroendocrinology 2011, 36: 929–934.

    Article  CAS  PubMed  Google Scholar 

  12. Zhou R, Wang F, Zhao G, Xia W, Peng D, Mao R, et al. Effects of tumor necrosis factor-α polymorphism on the brain structural changes of the patients with major depressive disorder. Transl Psychiatry 2018, 8: 217.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Miles AE, Dos Santos FC, Byrne EM, Renteria ME, McIntosh AM, Adams MJ, et al. Transcriptome-based polygenic score links depression-related corticolimbic gene expression changes to sex-specific brain morphology and depression risk. Neuropsychopharmacology 2021, 46: 2304–2311.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Fullard K, Maller JJ, Welton T, Lyon M, Gordon E, Koslow SH, et al. Is occipital bending a structural biomarker of risk for depression and sensitivity to treatment? J Clin Neurosci 2019, 63: 55–61.

    Article  PubMed  Google Scholar 

  15. Ries A, Hollander M, Glim S, Meng C, Sorg C, Wohlschläger A. Frequency-dependent spatial distribution of functional hubs in the human brain and alterations in major depressive disorder. Front Hum Neurosci 2019, 13: 146.

    Article  PubMed  PubMed Central  Google Scholar 

  16. de Haan EHF, Cowey A. On the usefulness of ‘what’ and ‘where’ pathways in vision. Trends Cogn Sci 2011, 15: 460–466.

    Article  PubMed  Google Scholar 

  17. Poeppl TB, Müller VI, Hoffstaedter F, Bzdok D, Laird AR, Fox PT, et al. Imbalance in subregional connectivity of the right temporoparietal junction in major depression. Hum Brain Mapp 2016, 37: 2931–2942.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Chen H, Liu K, Zhang B, Zhang J, Xue X, Lin Y, et al. More optimal but less regulated dorsal and ventral visual networks in patients with major depressive disorder. J Psychiatr Res 2019, 110: 172–178.

    Article  PubMed  Google Scholar 

  19. Lu F, Cui Q, Huang X, Li L, Duan X, Chen H, et al. Anomalous intrinsic connectivity within and between visual and auditory networks in major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry 2020, 100: 109889.

    Article  PubMed  Google Scholar 

  20. Grayson L, Thomas A. A systematic review comparing clinical features in early age at onset and late age at onset late-life depression. J Affect Disord 2013, 150: 161–170.

    Article  PubMed  Google Scholar 

  21. Mai N, Wu Y, Zhong X, Chen B, Zhang M, Peng Q, et al. Different modular organization between early onset and late onset depression: a study base on granger causality analysis. Front Aging Neurosci 2021, 13: 625175.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Zhang F, Rao S, Cao H, Zhang X, Wang Q, Xu Y, et al. Genetic evidence suggests posttraumatic stress disorder as a subtype of major depressive disorder. J Clin Invest 2022, 132: e145942.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Bird CIV, Modlin NL, Rucker JJH. Psilocybin and MDMA for the treatment of trauma-related psychopathology. Int Rev Psychiatry 2021, 33: 229–249.

    Article  PubMed  Google Scholar 

  24. McGlade E, Rogowska J, DiMuzio J, Bueler E, Sheth C, Legarreta M, et al. Neurobiological evidence of sexual dimorphism in limbic circuitry of US Veterans. J Affect Disord 2020, 274: 1091–1101.

    Article  PubMed  Google Scholar 

  25. Desseilles M, Balteau E, Sterpenich V, Dang-Vu TT, Darsaud A, Vandewalle G, et al. Abnormal neural filtering of irrelevant visual information in depression. J Neurosci 2009, 29: 1395–1403.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Stephan-Otto C, Siddi S, Cuevas Esteban J, Senior C, García-Álvarez R, Cambra-Martí MR, et al. Neural activity during object perception in schizophrenia patients is associated with illness duration and affective symptoms. Schizophr Res 2016, 175: 27–34.

    Article  PubMed  Google Scholar 

  27. Shaffer JJ Jr, Johnson CP, Fiedorowicz JG, Christensen GE, Wemmie JA, Magnotta VA. Impaired sensory processing measured by functional MRI in Bipolar disorder manic and depressed mood states. Brain Imaging Behav 2018, 12: 837–847.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Golomb JD, McDavitt JRB, Ruf BM, Chen JI, Saricicek A, Maloney KH, et al. Enhanced visual motion perception in major depressive disorder. J Neurosci 2009, 29: 9072–9077.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Song XM, Hu XW, Li Z, Gao Y, Ju X, Liu DY, et al. Reduction of higher-order occipital GABA and impaired visual perception in acute major depressive disorder. Mol Psychiatry 2021, 26: 6747–6755.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Gögler N, Willacker L, Funk J, Strube W, Langgartner S, Napiórkowski N, et al. Single-session transcranial direct current stimulation induces enduring enhancement of visual processing speed in patients with major depression. Eur Arch Psychiatry Clin Neurosci 2017, 267: 671–686.

    Article  PubMed  Google Scholar 

  31. Frase L, Mertens L, Krahl A, Bhatia K, Feige B, Heinrich SP, et al. Transcranial direct current stimulation induces long-term potentiation-like plasticity in the human visual cortex. Transl Psychiatry 2021, 11: 17.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Eldar S, Apter A, Lotan D, Edgar KP, Naim R, Fox NA, et al. Attention bias modification treatment for pediatric anxiety disorders: a randomized controlled trial. Am J Psychiatry 2012, 169: 213–220.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Sylvester CM, Petersen SE, Luby JL, Barch DM. Face processing in adolescents with positive and negative threat bias. Psychol Med 2017, 47: 800–809.

    Article  CAS  PubMed  Google Scholar 

  34. Colich NL, Ho TC, Foland-Ross LC, Eggleston C, Ordaz SJ, Singh MK, et al. Hyperactivation in cognitive control and visual attention brain regions during emotional interference in adolescent depression. Biol Psychiatry Cogn Neurosci Neuroimaging 2017, 2: 388–395.

    PubMed  PubMed Central  Google Scholar 

  35. Chantiluke K, Halari R, Simic M, Pariante CM, Papadopoulos A, Giampietro V, et al. Fronto-striato-cerebellar dysregulation in adolescents with depression during motivated attention. Biol Psychiatry 2012, 71: 59–67.

    Article  PubMed  Google Scholar 

  36. Colich NL, Foland-Ross LC, Eggleston C, Singh MK, Gotlib IH. Neural aspects of inhibition following emotional primes in depressed adolescents. J Clin Child Adolesc Psychol 2016, 45: 21–30.

    Article  PubMed  Google Scholar 

  37. Keedwell PA, Andrew C, Williams SCR, Brammer MJ, Phillips ML. A double dissociation of ventromedial prefrontal cortical responses to sad and happy stimuli in depressed and healthy individuals. Biol Psychiatry 2005, 58: 495–503.

    Article  PubMed  Google Scholar 

  38. Keedwell PA, Drapier D, Surguladze S, Giampietro V, Brammer M, Phillips M. Subgenual cingulate and visual cortex responses to sad faces predict clinical outcome during antidepressant treatment for depression. J Affect Disord 2010, 120: 120–125.

    Article  PubMed  Google Scholar 

  39. Tak S, Lee S, Park CA, Cheong EN, Seok JW, Sohn JH, et al. Altered effective connectivity within the Fronto-limbic circuitry in response to negative emotional task in female patients with major depressive disorder. Brain Connect 2021, 11: 264–277.

    Article  PubMed  Google Scholar 

  40. van Dam WO, Chrysikou EG. Effects of unilateral tDCS over left prefrontal cortex on emotion regulation in depression: evidence from concurrent functional magnetic resonance imaging. Cogn Affect Behav Neurosci 2021, 21: 14–34.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Le TM, Borghi JA, Kujawa AJ, Klein DN, Leung HC. Alterations in visual cortical activation and connectivity with prefrontal cortex during working memory updating in major depressive disorder. Neuroimage Clin 2017, 14: 43–53.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Alders GL, Davis AD, MacQueen G, Strother SC, Hassel S, Zamyadi M, et al. Reduced accuracy accompanied by reduced neural activity during the performance of an emotional conflict task by unmedicated patients with major depression: a CAN-BIND fMRI study. J Affect Disord 2019, 257: 765–773.

    Article  PubMed  Google Scholar 

  43. Davidson RJ, Irwin W, Anderle MJ, Kalin NH. The neural substrates of affective processing in depressed patients treated with venlafaxine. Am J Psychiatry 2003, 160: 64–75.

    Article  PubMed  Google Scholar 

  44. Chechko N, Kellermann T, Augustin M, Zvyagintsev M, Schneider F, Habel U. Disorder-specific characteristics of borderline personality disorder with co-occurring depression and its comparison with major depression: an fMRI study with emotional interference task. Neuroimage Clin 2016, 12: 517–525.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Keedwell P, Drapier D, Surguladze S, Giampietro V, Brammer M, Phillips M. Neural markers of symptomatic improvement during antidepressant therapy in severe depression: subgenual cingulate and visual cortical responses to sad, but not happy, facial stimuli are correlated with changes in symptom score. J Psychopharmacol 2009, 23: 775–788.

    Article  CAS  PubMed  Google Scholar 

  46. Kalin NH, Davidson RJ, Irwin W, Warner G, Orendi JL, Sutton SK, et al. Functional magnetic resonance imaging studies of emotional processing in normal and depressed patients: effects of venlafaxine. J Clin Psychiatry 1997, 58: 32–39.

    PubMed  Google Scholar 

  47. Rubin-Falcone H, Weber J, Kishon R, Ochsner K, Delaparte L, Doré B, et al. Neural predictors and effects of cognitive behavioral therapy for depression: the role of emotional reactivity and regulation. Psychol Med 2020, 50: 146–160.

    Article  PubMed  Google Scholar 

  48. Furey ML, Drevets WC, Hoffman EM, Frankel E, Speer AM, Zarate CA Jr. Potential of pretreatment neural activity in the visual cortex during emotional processing to predict treatment response to scopolamine in major depressive disorder. JAMA Psychiatry 2013, 70: 280–290.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Farb NAS, Anderson AK, Bloch RT, Segal ZV. Mood-linked responses in medial prefrontal cortex predict relapse in patients with recurrent unipolar depression. Biol Psychiatry 2011, 70: 366–372.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Zhang Z, Zhang H, Xie CM, Zhang M, Shi Y, Song R, et al. Task-related functional magnetic resonance imaging-based neuronavigation for the treatment of depression by individualized repetitive transcranial magnetic stimulation of the visual cortex. Sci China Life Sci 2021, 64: 96–106.

    Article  CAS  PubMed  Google Scholar 

  51. Song R, Bai Y, Li X, Zhu J, Zhang H, Shi Y, et al. Plasma circular RNA DYM related to major depressive disorder and rapid antidepressant effect treated by visual cortical repetitive transcranial magnetic stimulation. J Affect Disord 2020, 274: 486–493.

    Article  CAS  PubMed  Google Scholar 

  52. Dunn V, Goodyer IM. Longitudinal investigation into childhood- and adolescence-onset depression: psychiatric outcome in early adulthood. Br J Psychiatry 2006, 188: 216–222.

    Article  PubMed  Google Scholar 

  53. Thapar A, Collishaw S, Pine DS, Thapar AK. Depression in adolescence. Lancet 2012, 379: 1056–1067.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Bonte FJ. Brain blood flow SPECT: posterior flow deficits in young patients with depression. Clin Nucl Med 1999, 24: 696–697.

    Article  CAS  PubMed  Google Scholar 

  55. Bonte FJ, Trivedi MH, Devous MD Sr, Harris TS, Payne JK, Weinberg WA, et al. Occipital brain perfusion deficits in children with major depressive disorder. J Nucl Med 2001, 42: 1059–1061.

    CAS  PubMed  Google Scholar 

  56. Nagafusa Y, Okamoto N, Sakamoto K, Yamashita F, Kawaguchi A, Higuchi T, et al. Assessment of cerebral blood flow findings using 99mTc-ECD single-photon emission computed tomography in patients diagnosed with major depressive disorder. J Affect Disord 2012, 140: 296–299.

    Article  PubMed  Google Scholar 

  57. Li J, Yang Y, Zhu Y, Zhou L, Han Y, Yin T, et al. Towards characterizing the regional cerebral perfusion in evaluating the severity of major depression disorder with SPECT/CT. BMC Psychiatry 2018, 18: 70.

    Article  PubMed  PubMed Central  Google Scholar 

  58. van Heeringen K, Van den Abbeele D, Vervaet M, Soenen L, Audenaert K. The functional neuroanatomy of mental pain in depression. Psychiatry Res 2010, 181: 141–144.

    Article  PubMed  Google Scholar 

  59. Sanacora G, Mason GF, Rothman DL, Behar KL, Hyder F, Petroff OA, et al. Reduced cortical gamma-aminobutyric acid levels in depressed patients determined by proton magnetic resonance spectroscopy. Arch Gen Psychiatry 1999, 56: 1043–1047.

    Article  CAS  PubMed  Google Scholar 

  60. Bhagwagar Z, Wylezinska M, Taylor M, Jezzard P, Matthews PM, Cowen PJ. Increased brain GABA concentrations following acute administration of a selective serotonin reuptake inhibitor. Am J Psychiatry 2004, 161: 368–370.

    Article  PubMed  Google Scholar 

  61. Freed RD, Hollenhorst CN, Weiduschat N, Mao X, Kang G, Shungu DC, et al. A pilot study of cortical glutathione in youth with depression. Psychiatry Res Neuroimaging 2017, 270: 54–60.

    Article  PubMed  Google Scholar 

  62. Song Z, Huang P, Qiu L, Wu Q, Gong Q, Zhang B, et al. Decreased occipital GABA concentrations in patients with first-episode major depressive disorder: a magnetic resonance spectroscopy study. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi 2012, 29: 233–236.

    PubMed  Google Scholar 

  63. Meyer JH. Neurochemical imaging and depressive behaviours. Curr Top Behav Neurosci 2013, 14: 101–134.

    Article  CAS  PubMed  Google Scholar 

  64. Price RB, Shungu DC, Mao X, Nestadt P, Kelly C, Collins KA, et al. Amino acid neurotransmitters assessed by proton magnetic resonance spectroscopy: relationship to treatment resistance in major depressive disorder. Biol Psychiatry 2009, 65: 792–800.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Plante DT, Jensen JE, Schoerning L, Winkelman JW. Reduced γ-aminobutyric acid in occipital and anterior cingulate cortices in primary insomnia: A link to major depressive disorder? Neuropsychopharmacology 2012, 37: 1548–1557.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  66. Lapidus KAB, Gabbay V, Mao X, Johnson A, Murrough JW, Mathew SJ, et al. In vivo (1)H MRS study of potential associations between glutathione, oxidative stress and anhedonia in major depressive disorder. Neurosci Lett 2014, 569: 74–79.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Kugaya A, Sanacora G, Verhoeff NPLG, Fujita M, Mason GF, Seneca NM, et al. Cerebral benzodiazepine receptors in depressed patients measured with[123I]iomazenil SPECT. Biol Psychiatry 2003, 54: 792–799.

    Article  CAS  PubMed  Google Scholar 

  68. Sanacora G, Mason GF, Rothman DL, Krystal JH. Increased occipital cortex GABA concentrations in depressed patients after therapy with selective serotonin reuptake inhibitors. Am J Psychiatry 2002, 159: 663–665.

    Article  PubMed  Google Scholar 

  69. Sanacora G, Mason GF, Rothman DL, Hyder F, Ciarcia JJ, Ostroff RB, et al. Increased cortical GABA concentrations in depressed patients receiving ECT. Am J Psychiatry 2003, 160: 577–579.

    Article  PubMed  Google Scholar 

  70. Sanacora G, Fenton LR, Fasula MK, Rothman DL, Levin Y, Krystal JH, et al. Cortical gamma-aminobutyric acid concentrations in depressed patients receiving cognitive behavioral therapy. Biol Psychiatry 2006, 59: 284–286.

    Article  CAS  PubMed  Google Scholar 

  71. Bhagwagar Z, Wylezinska M, Jezzard P, Evans J, Boorman E, Matthews PM, et al. Low GABA concentrations in occipital cortex and anterior cingulate cortex in medication-free, recovered depressed patients. Int J Neuropsychopharmacol 2008, 11: 255–260.

    Article  CAS  PubMed  Google Scholar 

  72. Bhagwagar Z, Wylezinska M, Jezzard P, Evans J, Ashworth F, Sule A, et al. Reduction in occipital cortex gamma-aminobutyric acid concentrations in medication-free recovered unipolar depressed and bipolar subjects. Biol Psychiatry 2007, 61: 806–812.

    Article  CAS  PubMed  Google Scholar 

  73. Godlewska BR, Near J, Cowen PJ. Neurochemistry of major depression: a study using magnetic resonance spectroscopy. Psychopharmacology 2015, 232: 501–507.

    Article  CAS  PubMed  Google Scholar 

  74. Perry EK, Marshall EF, Blessed G, Tomlinson BE, Perry RH. Decreased imipramine binding in the brains of patients with depressive illness. Br J Psychiatry 1983, 142: 188–192.

    Article  CAS  PubMed  Google Scholar 

  75. Moresco RM, Colombo C, Fazio F, Bonfanti A, Lucignani G, Messa C, et al. Effects of fluvoxamine treatment on the in vivo binding of[F-18]FESP in drug naive depressed patients: a PET study. Neuroimage 2000, 12: 452–465.

    Article  CAS  PubMed  Google Scholar 

  76. Diaconescu AO, Kramer E, Hermann C, Ma Y, Dhawan V, Chaly T, et al. Distinct functional networks associated with improvement of affective symptoms and cognitive function during citalopram treatment in geriatric depression. Hum Brain Mapp 2011, 32: 1677–1691.

    Article  PubMed  Google Scholar 

  77. Smith GS, Kramer E, Hermann CR, Goldberg S, Ma Y, Dhawan V, et al. Acute and chronic effects of citalopram on cerebral glucose metabolism in geriatric depression. Am J Geriatr Psychiatry 2002, 10: 715–723.

    PubMed  Google Scholar 

  78. Bhagwagar Z, Hinz R, Taylor M, Fancy S, Cowen P, Grasby P. Increased 5-HT(2A) receptor binding in euthymic, medication-free patients recovered from depression: a positron emission study with [(11)C]MDL 100, 907. Am J Psychiatry 2006, 163: 1580–1587.

    Article  PubMed  Google Scholar 

  79. Woody ML, Miskovic V, Owens M, James KM, Feurer C, Sosoo EE, et al. Competition effects in visual cortex between emotional distractors and a primary task in remitted depression. Biol Psychiatry Cogn Neurosci Neuroimaging 2017, 2: 396–403.

    PubMed  PubMed Central  Google Scholar 

  80. de la Salle S, Phillips JL, Blier P, Knott V. Electrophysiological correlates and predictors of the antidepressant response to repeated ketamine infusions in treatment-resistant depression. Prog Neuro Psychopharmacol Biol Psychiatry 2022, 115: 110507.

    Article  Google Scholar 

  81. Bahji A, Vazquez GH, Zarate CA Jr. Comparative efficacy of racemic ketamine and esketamine for depression: a systematic review and meta-analysis. J Affect Disord 2021, 278: 542–555.

    Article  CAS  PubMed  Google Scholar 

  82. Shaw AD, Saxena N, Jackson LE, Hall JE, Singh KD, Muthukumaraswamy SD. Ketamine amplifies induced gamma frequency oscillations in the human cerebral cortex. Eur Neuropsychopharmacol 2015, 25: 1136–1146.

    Article  CAS  PubMed  Google Scholar 

  83. Homayoun H, Moghaddam B. NMDA receptor hypofunction produces opposite effects on prefrontal cortex interneurons and pyramidal neurons. J Neurosci 2007, 27: 11496–11500.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  84. Gilbert JR, Galiano CS, Nugent AC, Zarate CA. Ketamine and attentional bias toward emotional faces: dynamic causal modeling of magnetoencephalographic connectivity in treatment-resistant depression. Front Psychiatry 2021, 12: 673159.

    Article  PubMed  PubMed Central  Google Scholar 

  85. Shaw A, Brealy J, Richardson H, Muthukumaraswamy SD, Edden RA, John Evans C, et al. Marked reductions in visual evoked responses but not γ-aminobutyric acid concentrations or γ-band measures in remitted depression. Biol Psychiatry 2013, 73: 691–698.

    Article  CAS  PubMed  Google Scholar 

  86. Maciag D, Hughes J, O’Dwyer G, Pride Y, Stockmeier CA, Sanacora G, et al. Reduced density of calbindin immunoreactive GABAergic neurons in the occipital cortex in major depression: relevance to neuroimaging studies. Biol Psychiatry 2010, 67: 465–470.

    Article  CAS  PubMed  Google Scholar 

  87. Sheldrick A, Camara S, Ilieva M, Riederer P, Michel TM. Brain-derived neurotrophic factor (BDNF) and neurotrophin 3 (NT3) levels in post-mortem brain tissue from patients with depression compared to healthy individuals—a proof of concept study. Eur Psychiatry 2017, 46: 65–71.

    Article  CAS  PubMed  Google Scholar 

  88. Canbeyli R. Sensorimotor modulation of mood and depression: an integrative review. Behav Brain Res 2010, 207: 249–264.

    Article  CAS  PubMed  Google Scholar 

  89. Daducci A, Tambalo S, Fiorini S, Osculati F, Teti M, Fabene PF, et al. Manganese-enhanced magnetic resonance imaging investigation of the interferon-α model of depression in rats. Magn Reson Imaging 2014, 32: 529–534.

    Article  CAS  PubMed  Google Scholar 

  90. Skelin I, Sato H, Kovacević T, Diksic M. Chronic therapy with citalopram decreases regional cerebral glucose utilization in OBX, and not sham-operated, rats: an autoradiographic study. Psychopharmacology 2009, 207: 315–323.

    Article  CAS  PubMed  Google Scholar 

  91. Li J, Yang R, Xia K, Wang T, Nie B, Gao K, et al. Effects of stress on behavior and resting-state fMRI in rats and evaluation of Telmisartan therapy in a stress-induced depression model. BMC Psychiatry 2018, 18: 337.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  92. Dong Z, Liu Z, Liu Y, Zhang R, Mo H, Gao L, et al. Physical exercise rectifies CUMS-induced aberrant regional homogeneity in mice accompanied by the adjustment of skeletal muscle PGC-1a/IDO1 signals and hippocampal function. Behav Brain Res 2020, 383: 112516.

    Article  PubMed  Google Scholar 

  93. Chen G, Yang B, Chen J, Zhu L, Jiang H, Yu W, et al. Changes in male rat sexual behavior and brain activity revealed by functional magnetic resonance imaging in response to chronic mild stress. J Sex Med 2018, 15: 136–147.

    Article  PubMed  Google Scholar 

  94. Moreau AW, Amar M, Le Roux N, Morel N, Fossier P. Serotoninergic fine-tuning of the excitation-inhibition balance in rat visual cortical networks. Cereb Cortex 2010, 20: 456–467.

    Article  PubMed  Google Scholar 

  95. Liu Y, Wang Z, Zhang X, Li S, Wu W, Li X, et al. A sex-dependent delayed maturation of visual plasticity induced by adverse experiences in early childhood. Neurobiol Stress 2020, 13: 100256.

    Article  PubMed  PubMed Central  Google Scholar 

  96. Maya Vetencourt JF, Sale A, Viegi A, Baroncelli L, De Pasquale R, O’Leary OF, et al. The antidepressant fluoxetine restores plasticity in the adult visual cortex. Science 2008, 320: 385–388.

    Article  CAS  PubMed  Google Scholar 

  97. Berman RF, Murray KD, Arque G, Hunsaker MR, Wenzel HJ. Abnormal dendrite and spine morphology in primary visual cortex in the CGG knock-in mouse model of the fragile X premutation. Epilepsia 2012, 53(Suppl 1): 150–160.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  98. Rojas P, Joodmardi E, Perlmann T, Ogren SO. Rapid increase of Nurr1 mRNA expression in limbic and cortical brain structures related to coping with depression-like behavior in mice. J Neurosci Res 2010, 88: 2284–2293.

    Article  CAS  PubMed  Google Scholar 

  99. Lu Q, Wu F, Jiao J, Xue L, Song R, Shi Y, et al. Selective activation of ABCA1/ApoA1 signaling in the V1 by magnetoelectric stimulation ameliorates depression via regulation of synaptic plasticity. iScience 2022, 25: 104201.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  100. Huang L, Xi Y, Peng Y, Yang Y, Huang X, Fu Y, et al. A visual circuit related to habenula underlies the antidepressive effects of light therapy. Neuron 2019, 102: 128-142.e8.

    Article  CAS  PubMed  Google Scholar 

  101. Lu J, Zhang Z, Yin X, Tang Y, Ji R, Chen H, et al. An entorhinal-visual cortical circuit regulates depression-like behaviors. Mol Psychiatry 2022, 27: 3807–3820.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

This review was supported by grants from the National Natural Science Key Foundation of China (81830040 and 82130042), the China Science and Technology Innovation 2030-Major Project (2022ZD0211701 and 2021ZD0200700), the Science and Technology Program of Guangdong (2018B030334001), and the Science and Technology Program of Shenzhen (GJHZ20210705141400002, KCXFZ20211020164543006, JCYJ20220818101615033, and 202206063000055).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhijun Zhang.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, F., Lu, Q., Kong, Y. et al. A Comprehensive Overview of the Role of Visual Cortex Malfunction in Depressive Disorders: Opportunities and Challenges. Neurosci. Bull. 39, 1426–1438 (2023). https://doi.org/10.1007/s12264-023-01052-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12264-023-01052-7

Keywords