Concurrent inflammation-related brain reorganization in multiple sclerosis and depression

•Multiple sclerosis and major depression share morphologic network alterations.•The contrast between the gray and white matters may be a neuroinflammation marker.•Network alterations may underlie symptom severity and depression comorbidity in MS. Neuroinflammation affects brain tissue integrity in m...

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Veröffentlicht in:Brain, behavior, and immunity behavior, and immunity, 2024-07, Vol.119, p.978-988
Hauptverfasser: Molina Galindo, Lara S., Gonzalez-Escamilla, Gabriel, Fleischer, Vinzenz, Grotegerd, Dominik, Meinert, Susanne, Ciolac, Dumitru, Person, Maren, Stein, Frederike, Brosch, Katharina, Nenadić, Igor, Alexander, Nina, Kircher, Tilo, Hahn, Tim, Winter, Yaroslav, Othman, Ahmed E., Bittner, Stefan, Zipp, Frauke, Dannlowski, Udo, Groppa, Sergiu
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Sprache:eng
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Zusammenfassung:•Multiple sclerosis and major depression share morphologic network alterations.•The contrast between the gray and white matters may be a neuroinflammation marker.•Network alterations may underlie symptom severity and depression comorbidity in MS. Neuroinflammation affects brain tissue integrity in multiple sclerosis (MS) and may have a role in major depressive disorder (MDD). Whether advanced magnetic resonance imaging characteristics of the gray-to-white matter border serve as proxy of neuroinflammatory activity in MDD and MS remain unknown. We included 684 participants (132 MDD patients with recurrent depressive episodes (RDE), 70 MDD patients with a single depressive episode (SDE), 222 MS patients without depressive symptoms (nMS), 58 MS patients with depressive symptoms (dMS), and 202 healthy controls (HC)). 3 T-T1w MRI-derived gray-to-white matter contrast (GWc) was used to reconstruct and characterize connectivity alterations of GWc-covariance networks by means of modularity, clustering coefficient, and degree. A cross-validated support vector machine was used to test the ability of GWc to stratify groups according to their depression symptoms, measured with BDI, at the single-subject level in MS and MDD independently. MS and MDD patients showed increased modularity (ANOVA partial-η2 = 0.3) and clustering (partial-η2 = 0.1) compared to HC. In the subgroups, a linear trend analysis attested a gradient of modularity increases in the form: HC, dMS, nMS, SDE, and RDE (ANOVA partial-η2 = 0.28, p 
ISSN:0889-1591
1090-2139
DOI:10.1016/j.bbi.2024.05.015