MRI Correlates of Depression and Anxiety in Multiple Sclerosis

Loredana Sabina Pascu1, Simona Dana Mitincu-Caramfil1, Andrei Vlad Bradeanu1

  • 1Research Centre in the Medical-Pharmaceutical Field, Faculty of Medicine and Pharmacy, "Dunarea de Jos" University of Galati, 800008 Galati, Romania.

Abstract

Insights

Depression in multiple sclerosis (MS) is linked to brain abnormalities in areas like the fronto-limbic system and white matter. Anxiety in MS shows less clear MRI findings, suggesting complex causes.

Area of Science:

  • Neuroimaging
  • Neurology
  • Psychiatry

Background:

  • Multiple sclerosis (MS) is a chronic inflammatory disease often accompanied by depression and anxiety.
  • These psychiatric conditions significantly impact disability, cognition, and quality of life in MS patients.
  • Brain abnormalities, detectable via MRI, are increasingly recognized as contributors to affective symptoms in MS.

Purpose of the Study:

  • To systematically review magnetic resonance imaging (MRI) correlates of depression and anxiety in adult patients with multiple sclerosis.
  • To synthesize findings from structural, diffusion, and functional MRI studies in relation to affective symptoms.

Main Methods:

  • A systematic database search identified original articles on MRI findings and affective symptoms in MS.
  • Studies analyzed structural MRI, diffusion imaging, and functional MRI data.
  • Psychometric instruments were used to assess depression and anxiety symptoms.

Main Results:

  • Depression in MS is associated with fronto-limbic and subcortical structural changes (e.g., cortical thinning, atrophy) and white matter disconnection.
  • Altered network connectivity (default mode, salience, executive control) is observed in MS patients with depression.
  • Anxiety in MS demonstrated less consistent MRI associations, indicating a complex interplay of factors.

Conclusions:

  • Multimodal MRI techniques offer insights into the neurobiological underpinnings of depression and anxiety in MS.
  • These findings may pave the way for personalized diagnostic and therapeutic approaches in MS care.