Predictors and Neuropsychiatric Profile of Nucleus Basalis of Meynert Degeneration in Parkinson Disease

Abstract

The long-term goal of this research proposal is to contribute to the development of improved therapies for non-motor symptoms in sporadic Parkinson disease (PD), specifically the neuropsychiatric symptoms of dementia, psychosis, and apathy. This proposal aims to identify predictors of nucleus basalis of Meynert degeneration and will specifically assess whether MAPT H1 haplotype and alpha-synclein levels in the cerebrospinal fluid are associated with nucleus basalis of Meynert volume. This proposal also aims to show that the nucleus basalis of Meynert is associated with psychosis and apathy in PD. To complete these aims we have collected genetic samples and clinical data for 113 advanced PD subjects with MRIs. We have downloaded and processed 228 baseline MRIs and 97 4-year MRIs in an early stage PD cohort. Cholinergic nucleus 4 density (Ch4), our proxy measure for NBM volume, has been generated for these MRI scans. In the early-stage PD cohort, we found that reduced baseline Ch4 density, our proxy measure for NBM volume, was associated with increased risk of future psychotic symptoms. This finding supports targeting this region with deep brain stimulation as a potential symptomatic and neuroprotective therapy for psychosis in PD.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2018
Accession Number
AD1094744

Entities

People

  • Matthew J Barrett

Tags

DTIC Thesaurus Topics

  • Brain
  • Data Analysis
  • Dementia
  • Diseases And Disorders
  • Electric Stimulation Therapy
  • Medical Personnel
  • Movement Disorders
  • Neurology
  • Neurons
  • Parkinson'S Disease
  • Psychotic Disorders
  • Standards
  • Students

Fields of Study

  • Medicine
  • Psychology

Readers

  • Medical Imaging.
  • Neurodegenerative Parkinson's Disease and Rickettsial Disease handbook, including the data level of dopamine, BC, neurons, and PD.
  • Neuroscience

Technology Areas

  • Biotechnology