Diffusion tensor imaging study of white matter damage in chronic meningitis

Wei-Che Lin1, Pei-Chin Chen1, Hung-Chen Wang2

  • 1Department of Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.

Plos One
|June 4, 2014
PubMed

Insights

Chronic meningitis, including tuberculous meningitis (TBM) and cryptococcal meningitis (CM), can cause white matter (WM) damage. This damage is linked to lasting neuro-psychological deficits in patients.

Area of Science:

  • Neurology
  • Neuroimaging
  • Infectious Diseases

Background:

  • Tuberculous meningitis (TBM) and cryptococcal meningitis (CM) are leading causes of chronic meningitis.
  • Chronic meningitis can lead to persistent neurological and cognitive impairments.

Purpose of the Study:

  • To investigate the association between white matter (WM) micro-structure damage and chronic neuro-psychological sequelae in HIV-negative patients with TBM or CM.
  • To identify potential neuroimaging biomarkers for disease evaluation.

Main Methods:

  • Voxel-based diffusion tensor imaging (DTI) magnetic resonance imaging was used to assess WM integrity.
  • Participants included HIV-negative TBM patients, HIV-negative CM patients, and healthy controls.
  • Neuro-psychological testing, medical/neurologic examinations, and cerebrospinal fluid (CSF) analysis were performed.

Main Results:

  • Patients with CM and TBM exhibited significant cognitive deficits compared to healthy controls.
  • WM integrity was compromised in limbic regions (e.g., para-hippocampal gyrus, cingulate gyrus) and near the globus pallidus.
  • Poorer DTI parameters correlated with worse cognitive performance and abnormal CSF profiles.

Conclusions:

  • Micro-structure white matter damage, particularly in the limbic system and globus pallidus, is associated with neuro-psychological deficits in chronic meningitis.
  • WM alterations may contribute to the psychopathology and pathophysiology of co-morbidities.
  • Limbic and globus pallidus abnormalities show potential as biomarkers for disease assessment.