The value of novel MRI techniques in Parkinson-plus syndromes: diffusion tensor imaging and anatomical connectivity

M Tir1, C Delmaire2, P Besson2

  • 1Service de neurologie et pathologie du mouvement, hôpital Salengro, CHRU de Lille, EA 1046, département de pharmacologie médicale, université Lille Nord de France, 1, place de Verdun, 59045 Lille cedex, France; Service de neurologie, CHU d'Amiens, EA 4559, SFR CAP-Santé (FED 4231), université de Picardie-Jules-Verne, chemin du Thil, 80000 Amiens, France.

Revue Neurologique
|March 25, 2014
PubMed

Insights

Diffusion tensor imaging (DTI) reveals microstructural brain changes, aiding in differentiating Parkinson-plus syndromes like MSA and PSP from Parkinson's disease. DTI parameters also show promise for monitoring disease progression.

Area of Science:

  • Neuroimaging
  • Neurology
  • Radiology

Background:

  • Conventional MRI has limitations in early differential diagnosis of degenerative parkinsonian syndromes.
  • Diffusion Tensor Imaging (DTI) detects microstructural brain tissue changes and connectivity alterations.
  • DTI shows potential in distinguishing Multiple System Atrophy (MSA), Progressive Supranuclear Palsy (PSP), and Parkinson's Disease (PD).

Purpose of the Study:

  • To systematically review corticosubcortical DTI abnormalities in MSA and PSP.
  • To assess the diagnostic value of DTI and connectivity studies in differentiating Parkinson-plus syndromes.
  • To explore the utility of DTI parameters in monitoring disease progression.

Main Methods:

  • Systematic literature review of diffusion-weighted imaging, DTI, and anatomical connectivity studies.
  • Analysis of DTI abnormalities in specific brain regions (putamen, cerebellar peduncles, motor cortex).
  • Correlation of DTI parameters with clinical scores and disease duration.

Main Results:

  • Increased diffusivity observed in the putamen (MSA, PSP), middle cerebellar peduncles (MSA), and upper cerebellar peduncles (PSP).
  • Reduced fractional anisotropy (FA) in motor pathways and increased apparent diffusion coefficient (ADC) in supplementary motor area noted in PSP.
  • Anatomical connectivity studies revealed reduced corticospinal tract fibers in MSA and PSP.
  • Correlations between DTI parameters and clinical scores/disease duration indicate value in monitoring progression.

Conclusions:

  • DTI and connectivity studies are valuable tools for differentiating between MSA and PSP.
  • These techniques offer advantages over conventional MRI, especially in early disease stages.
  • DTI parameters show significant potential for tracking disease progression in degenerative parkinsonian syndromes.