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Spontaneous sensorimotor beta power and cortical thickness uniquely predict motor function in healthy aging
Maggie P Rempe1, Brandon J Lew1, Christine M Embury2
1Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE, USA.
Neuroimage
|October 7, 2022
Summary
Motor cortex beta activity and thickness both uniquely predict motor function in aging adults. These brain changes are distinct but important for maintaining motor skills throughout life.
Area of Science:
- Neuroscience
- Aging Research
- Motor Control
Background:
- Spontaneous beta activity in motor cortices increases with age.
- This increase is linked to stronger beta oscillations during movement planning.
- The link between age-related beta changes, cortical thickness, and motor function is unclear.
Purpose of the Study:
- To investigate the relationship between age-related changes in spontaneous beta activity, cortical thickness, and motor function.
- To determine the unique contributions of spontaneous beta power and cortical thickness to motor function across the adult lifespan.
Main Methods:
- Collected resting-state magnetoencephalography (MEG), structural MRI, and motor function scores from 126 healthy adults (ages 22-72).
- Used source-imaged MEG data and vertex-wise regression to analyze age-related differences in spontaneous beta power.
- Computed cortical thickness and used hierarchical regression to assess contributions to motor function.
Main Results:
- Spontaneous beta power increased with age, particularly in sensorimotor cortices.
- Sensorimotor cortical thickness was not related to spontaneous beta power beyond age.
- Both cortical thickness and spontaneous beta power uniquely predicted motor function when controlling for age.
Conclusions:
- Cortical thickness and spontaneous beta activity in sensorimotor cortices have dissociable contributions to motor function across the adult lifespan.
- Findings highlight the complex interactions between brain structure and function in healthy aging.
- Understanding these interactions is crucial for advancing research in aging and neurological diseases.

