Microstructural alterations in superficial white matter associated with anhedonia and suicidal ideation in major depressive disorder.

Yichen Zhang, Guorong Wu, Sara De Witte, Chris Baeken
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Abstract

Background: Major depressive disorder (MDD) is characterized by impaired emotional and cognitive functions. Previous studies have focused on the long-range white matter bundles within the deep white matter connecting distant cortices. Less is known about the superficial white matter (SWM), which consists of short bundles connecting adjacent and precise cortices. We therefore investigated the differences in SWM between MDD patients and healthy controls (HCs) and its relationship with core clinical depressive symptoms.

Methods: Probabilistic tractography was used to generate the SWM bundles in 62 antidepressant-free MDD patients and 77 HCs. Diffusion tensor imaging (DTI) and Neurite orientation dispersion and density imaging (NODDI) were used to compare the microstructural differences of SWM between two groups. correlations were calculated between the diffusion metrics in the SWM showing significant between-group differences and core clinical depressive symptoms.

Results: Compared with HCs, MDD patients showed DTI metric changes in the SWM bundles connecting frontal-parietal-temporal-occipital cortices. For the NODDI metrics, MDD patients showed lower neurite density index in the SWM bundles connecting frontal-parietal-temporal cortices. Here, the neurite density index in the SWM bundles connecting prefrontal-insula regions was significantly negatively correlated with anhedonia and suicidal ideation. MDD patients displayed higher orientation dispersion index in the SWM bundles connecting parietal, occipital and posterior cingulate cortices.

Conclusions: SWM plays a crucial role in the neuropathology of MDD. The decreased neurite density in the SWM connecting prefrontal-insula regions may underlie anhedonia and suicidal ideation. Furthermore, NODDI metrics may offer more specific detection of SWM microstructural abnormalities than DTI metrics.

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