Distinct Biotypes of Visual Perception in Major Depressive Disorder
Source abstract
Abstract
ABSTRACT Previous studies showed abnormalities in both visual motion perception (VMP) and occipital cortex activity in subjects suffering from major depressive disorder (MDD). Can the psychophysical and/or neural markers of visual perception serve for clinical identification of MDD subgroups? To address this yet unresolved issue, we develope a novel analytical framework combining visual perceptual measurement with machine learning clustering to identify MDD subgroups. Within a cohort of 272 individuals with acute MDD, this approach reveals a VMP‐positive (VMP‐P) biotype characterized by impaired VMP. Clinically, this biotype exhibits significant cognitive deficits. We validate the robustness of this biotype through cross‐validation and confirm its generalizability in an independent sample ( n = 63). Furthermore, 7T MRI implicate aberrant neural activity in the occipital cortex as a mechanism underlying the VMP‐P biotype. Our findings establish a novel, clinically translatable path for stratifying MDD, which can guide treatment development and advance precision medicine.
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Research context
OpenAlex topics: Face Recognition and Perception · Visual perception and processing mechanisms · Spatial Cognition and Navigation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Medicine Affiliated Mental Health Center & Hangzhou Seventh People's Hospital Zhejiang University Hangzhou China
College of Biomedical Engineering and Instrument Science Key Laboratory of Biomedical Engineering of Ministry of Education Qiushi Academy for Advanced Studies Zhejiang University Hangzhou China
School of Medicine Department of Psychiatry of the Second Affiliated Hospital Zhejiang University Hangzhou China
MOE Key Laboratory For Neuroinformation The Clinical Hospital of Chengdu Brain Science Institute University of Electronic Science and Technology of China Chengdu China
Department of Psychology and Behavioral Sciences Zhejiang University Hangzhou China
State Key Laboratory of Eye Health Eye Hospital Wenzhou Medical University Wenzhou China
University of Ottawa Institute of Mental Health Research University of Ottawa Ottawa Ontario Canada
Funding
Natural Science Foundation of Zhejiang Province
References (87)
Show source-provided references
1. Depression is the Leading Cause of Disability Around the World10.1001/jama.2017.3826 ↗
2. 10.1016/S0140‐6736(18)31948‐210.1016/S0140‐6736(18)31948‐2 ↗
3. 10.1002/mpr.156910.1002/mpr.1569 ↗
4. 10.1038/nm.424610.1038/nm.4246 ↗
5. 10.1177/07067437140590120610.1177/070674371405901206 ↗
6. 10.1016/j.jpsychires.2021.05.01310.1016/j.jpsychires.2021.05.013 ↗
7. 10.1016/j.psychres.2014.06.05310.1016/j.psychres.2014.06.053 ↗
8. 10.1016/j.jad.2017.11.05310.1016/j.jad.2017.11.053 ↗
9. 10.1016/S2215‐0366(16)00012‐210.1016/S2215‐0366(16)00012‐2 ↗
10. 10.1016/S0140‐6736(05)66665‐210.1016/S0140‐6736(05)66665‐2 ↗
11. 10.1176/appi.ajp.159.7.111910.1176/appi.ajp.159.7.1119 ↗
12. 10.1016/j.biopsych.2015.02.03710.1016/j.biopsych.2015.02.037 ↗
13. 10.1016/j.biopsych.2019.08.00510.1016/j.biopsych.2019.08.005 ↗
14. 10.1038/s41598‐017‐12142‐810.1038/s41598‐017‐12142‐8 ↗
15. 10.1038/s44220-023-00139-410.1038/s44220-023-00139-4 ↗
16. 10.1038/s41591‐024‐03057‐910.1038/s41591‐024‐03057‐9 ↗
17. 10.1001/jamanetworkopen.2023.1841110.1001/jamanetworkopen.2023.18411 ↗
18. 10.1038/s44220‐024‐00271‐910.1038/s44220‐024‐00271‐9 ↗
19. 10.1038/s41386‐020‐00926‐y10.1038/s41386‐020‐00926‐y ↗
20. 10.1016/j.nicl.2020.10251410.1016/j.nicl.2020.102514 ↗
21. 10.1038/s44220‐023‐00195‐w10.1038/s44220‐023‐00195‐w ↗
22. 10.1038/s41380‐023‐02395‐310.1038/s41380‐023‐02395‐3 ↗
23. 10.1038/s41537-024-00496-810.1038/s41537-024-00496-8 ↗
24. 10.1523/JNEUROSCI.2592‐06.200610.1523/JNEUROSCI.2592‐06.2006 ↗
25. 10.1523/JNEUROSCI.1003‐09.200910.1523/JNEUROSCI.1003‐09.2009 ↗
26. 10.1523/JNEUROSCI.1608‐12.201310.1523/JNEUROSCI.1608‐12.2013 ↗
27. 10.1038/s41380‐021‐01090‐510.1038/s41380‐021‐01090‐5 ↗
28. 10.1093/cercor/bhab34310.1093/cercor/bhab343 ↗
29. 10.1002/advs.20240306310.1002/advs.202403063 ↗
30. 10.1038/nature0180010.1038/nature01800 ↗
31. 10.7554/eLife.3033410.7554/eLife.30334 ↗
32. 10.1146/annurev.neuro.26.041002.13105210.1146/annurev.neuro.26.041002.131052 ↗
33. 10.3389/fncom.2014.0008410.3389/fncom.2014.00084 ↗
34. 10.1126/sciadv.aaw080710.1126/sciadv.aaw0807 ↗
35. 10.1016/j.cub.2020.04.03910.1016/j.cub.2020.04.039 ↗
36. 10.1016/j.cub.2013.04.05310.1016/j.cub.2013.04.053 ↗
37. 10.7554/eLife.9754510.7554/eLife.97545 ↗
38. 10.1016/j.jad.2025.01.06110.1016/j.jad.2025.01.061 ↗
39. 10.1038/s41380‐020‐00892‐310.1038/s41380‐020‐00892‐3 ↗
40. 10.1176/appi.ajp.2015.1409120010.1176/appi.ajp.2015.14091200 ↗
41. 10.1088/1757‐899X/336/1/01201710.1088/1757‐899X/336/1/012017 ↗
42. 10.1016/j.jneumeth.2008.04.01210.1016/j.jneumeth.2008.04.012 ↗
43. 10.3390/bioengineering1012137410.3390/bioengineering10121374 ↗
44. 10.1111/jedm.1205010.1111/jedm.12050 ↗
45. 10.1016/j.visres.2015.08.00510.1016/j.visres.2015.08.005 ↗
46. 10.1002/jmri.2754110.1002/jmri.27541 ↗
47. 10.1093/cercor/bhu16810.1093/cercor/bhu168 ↗
48. 10.1192/bjp.180.5.43410.1192/bjp.180.5.434 ↗
49. 10.1038/s41467-018-05892-010.1038/s41467-018-05892-0 ↗
50. 10.1038/s41591-021-01309-610.1038/s41591-021-01309-6 ↗
51. Neuroimaging Epicenters as Potential Sites of Onset of the Neuroanatomical Pathology in Schizophrenia
52. 10.1016/j.jad.2025.03.00310.1016/j.jad.2025.03.003 ↗
53. 10.1093/schbul/sbac16210.1093/schbul/sbac162 ↗
54. 10.1016/j.cub.2018.08.04310.1016/j.cub.2018.08.043 ↗
55. 10.1038/s42003‐021‐02582‐410.1038/s42003‐021‐02582‐4 ↗
56. 10.1016/j.neuron.2011.10.03510.1016/j.neuron.2011.10.035 ↗
57. 10.1038/ncomms1380410.1038/ncomms13804 ↗
58. 10.1038/s41386‐020‐0785‐x10.1038/s41386‐020‐0785‐x ↗
59. 10.1016/j.jad.2021.09.09310.1016/j.jad.2021.09.093 ↗
60. 10.1002/hbm.2648510.1002/hbm.26485 ↗
61. 10.1126/science.aah701110.1126/science.aah7011 ↗
62. 10.1016/j.brs.2014.04.01110.1016/j.brs.2014.04.011 ↗
63. 10.1002/da.2265810.1002/da.22658 ↗
64. 10.4088/JCP.16cs1090510.4088/JCP.16cs10905 ↗
65. 10.1016/j.jad.2023.09.02410.1016/j.jad.2023.09.024 ↗
66. 10.1007/s11427‐020‐1730‐510.1007/s11427‐020‐1730‐5 ↗
67. 10.3389/fnins.2022.85548310.3389/fnins.2022.855483 ↗
68. 10.1111/cns.1442710.1111/cns.14427 ↗
69. 10.1007/s00406-016-0761-y10.1007/s00406-016-0761-y ↗
70. 10.1111/cns.7017910.1111/cns.70179 ↗
71. 10.1038/s41398‐024‐02995‐910.1038/s41398‐024‐02995‐9 ↗
72. 10.1176/appi.ajp.2020.2003027110.1176/appi.ajp.2020.20030271 ↗
73. 10.1001/jamapsychiatry.2020.379410.1001/jamapsychiatry.2020.3794 ↗
74. 10.1016/j.biopsych.2017.10.02810.1016/j.biopsych.2017.10.028 ↗
75. 10.1176/appi.ajp.2022030610.1176/appi.ajp.20220306 ↗
76. 10.1016/j.biopsych.2012.04.02810.1016/j.biopsych.2012.04.028 ↗
77. 10.1016/j.schres.2013.11.02310.1016/j.schres.2013.11.023 ↗
78. 10.1016/j.schres.2015.09.00310.1016/j.schres.2015.09.003 ↗
79. 10.1016/j.psychres.2017.03.02110.1016/j.psychres.2017.03.021 ↗
80. 10.1097/01.jcp.0000117422.05703.ae10.1097/01.jcp.0000117422.05703.ae ↗
81. 10.1073/pnas.151755811310.1073/pnas.1517558113 ↗
82. 10.1136/jnnp.23.1.5610.1136/jnnp.23.1.56 ↗
83. Anger Attacks in Depressed Outpatients and Their Response to Fluoxetine
84. 10.1163/156856897X0035710.1163/156856897X00357 ↗
85. D.Wechsler Wechsler Memory Scale–Fourth Edition (WMS‐ IV) Technical and Interpretive Manual(2008).
86. 10.1007/s12021‐016‐9299‐410.1007/s12021‐016‐9299‐4 ↗
87. 10.1002/mrm.191035031210.1002/mrm.1910350312 ↗