Projects per year
Abstract
Background Aberrant brain connectivity during emotional processing, especially within the fronto-limbic pathway, is one of the hallmarks of major depressive disorder (MDD). However, the methodological heterogeneity of previous studies made it difficult to determine the functional and etiological implications of specific alterations in brain connectivity. We previously reported alterations in psychophysiological interaction measures during emotional face processing, distinguishing depressive pathology from at-risk/resilient and healthy states. Here, we extended these findings by effective connectivity analyses in the same sample to establish a refined neural model of emotion processing in depression. Methods Thirty-seven patients with MDD, 45 first-degree relatives of patients with MDD and 97 healthy controls performed a face-matching task during functional magnetic resonance imaging. We used dynamic causal modeling to estimate task-dependent effective connectivity at the subject level. Parametric empirical Bayes was performed to quantify group differences in effective connectivity. Results MDD patients showed decreased effective connectivity from the left amygdala and left lateral prefrontal cortex to the fusiform gyrus compared to relatives and controls, whereas patients and relatives showed decreased connectivity from the right orbitofrontal cortex to the left insula and from the left orbitofrontal cortex to the right fusiform gyrus compared to controls. Relatives showed increased connectivity from the anterior cingulate cortex to the left dorsolateral prefrontal cortex compared to patients and controls. Conclusions Our results suggest that the depressive state alters top-down control of higher visual regions during face processing. Alterations in connectivity within the cognitive control network present potential risk or resilience mechanisms.
| Original language | English |
|---|---|
| Pages (from-to) | 4139-4151 |
| Number of pages | 13 |
| Journal | Psychological Medicine |
| Volume | 53 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - Jul 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Effective connectivity
- emotional face processing
- familial risk
- fMRI
- major depressive disorder
- resilience
Projects
- 3 Finished
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Computational modelling to understand early-stage neurodegeneration
Razi, A. (Primary Chief Investigator (PCI))
1/01/21 → 31/12/25
Project: Research
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Multiscale and multimodal modelling of brain dynamics
Razi, A. (Primary Chief Investigator (PCI)), Zalesky, A. (Chief Investigator (CI)) & Friston, K. J. (Partner Investigator (PI))
1/01/20 → 31/12/22
Project: Research
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Towards understanding information processing in the brain
Razi, A. (Primary Chief Investigator (PCI))
30/12/17 → 30/12/21
Project: Research
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