We collected EEG data from a large cohort (350 recordings from 279 subjects) of elderly subjects (>50 years) while they viewed visual stimuli that induced gamma oscillations. This entire dataset and associated codes are available freely.
Data: https://osf.io/ebryn/
Codes: https://github.com/supratimray/TLSAEEGProjectPrograms
Recording method: (Murty and Ray, 2022, Bio-protocol).
Research Highlights
- Gamma oscillations weaken with age in healthy elderly subjects (Murty et al., 2020, Neuroimage)
- Gamma oscillations are weaker in subjects with Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) as compared to their age and gender matched controls (Murty et al., 2021, eLife).
- Gamma oscillations remain remarkably consistent across recordings separated by more than one year (Kumar et al., 2022, Cerebral Cortex Communications).
- Gamma and alpha oscillations show distinct patterns of functional connectivity changes with aging and mental disorders (Kumar and Ray, 2023, European Journal of Neuroscience)
- Slope of the power spectral density flattens below 150 Hz but also steepens at higher frequencies with healthy aging (Aggarwal and Ray, 2023, Cerebral Cortex Communications).
- Stimulus-induced gamma sources weaken but do not shrink with healthy aging in human EEG (Kumar, Sharma, and Ray, 2024, bioRxiv).
- Age-related changes in Higuchi’s fractal dimension in healthy human EEG are anti-correlated with changes in oscillatory power and 1/f slope (Aggarwal and Ray, 2024, bioRxiv).
