4.4 Article

Profiling Parkinson's disease cognitive phenotypes via resting-state magnetoencephalography

期刊

JOURNAL OF NEUROPHYSIOLOGY
卷 127, 期 1, 页码 279-289

出版社

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/jn.00316.2021

关键词

beamforming; cognitive impairment; magnetoencephalography; Parkinson's; resting-state

资金

  1. National Institutes of Health (NIH) [1K02NS080885-01A1, 1R21NS093266-01A1, K01 AT009894-01]
  2. Michael J. Fox Foundation for Parkinson's Research Grant [10879]
  3. National Institute of Aging [K02 AG062745]
  4. National Institute of Nursing Research Grant [R01NR016037]
  5. Patient Centered Outcomes Research Institute [DI-2019C2-17499]
  6. National Cancer Institute [U01 CA235488, R01 CA129102]
  7. National Science Foundation [DMS 1914937]
  8. National Center for Complementary and Integrative Health

向作者/读者索取更多资源

Aberrant brain oscillations, especially in lower frequency bands, are associated with cognitive impairment in Parkinson's disease (PD). This study used magnetoencephalography (MEG) to identify the specific brain regions and frequencies that are most associated with different cognitive profiles in PD patients. The results suggest that mild cognitive impairment (MCI) and PD dementia (PDD) may be distinct cognitive phenotypes, with the most significant changes occurring during the transition from normal cognition to MCI.
Aberrant brain oscillations are a hallmark of Parkinson's disease (PD) pathophysiology and may be related to both motor and nonmotor symptoms. Mild cognitive impairment (MCI) affects many people with PD even at the time of diagnosis and conversion risks to PD dementia (PDD) are very high. Unfortunately, pharmacotherapies are not addressing cognitive symptoms in PD. Profiling PD cognitive phenotypes (e.g., MCI, PDD, etc.) may therefore help inform future treatments. Neurophysiological methods, such as magnetoencephalography (MEG), offer the advantage of observing oscillatory patterns, whose regional and temporal profiles may elucidate how cognitive changes relate to neural mechanisms. We conducted a resting-state MEG crosssectional study of 89 persons with PD stratified into three phenotypic groups: normal cognition, MCI, and PDD, to identify brain regions and frequencies most associated with each cognitive profile. In addition, a neuropsychological battery was administered to assess each domain of cognition. Our data showed higher power in lower frequency bands (delta and theta) observed along with more severe cognitive impairment and associated with memory, language, attention, and global cognition. Of the total 119 brain parcels assessed during source analysis, widespread group differences were found in the beta band, with significant changes mostly occurring between the normal cognition and MCI groups. Moreover, bilateral frontal and left-hemispheric regions were particularly affected in the other frequencies as cognitive decline becomes more pronounced. Our results suggest that MCI and PDD may be qualitatively distinct cognitive phenotypes, and most dramatic changes seem to have happened when the PD brain shows mild cognitive decline. NEW & NOTEWORTHY Can we better stage cognitive decline in patients with Parkinson's disease (PD)? Here, we provide evidence that mild cognitive impairment, rather than being simply a milder form of dementia, may be a qualitatively distinct phase in its development. We suggest that the most dramatic neurophysiological changes may occur during the time the PD brain transitions from normal cognition to MCI, then compensatory changes further occur as the brain switches to a dementia state.

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