Resting-state EEG measures cognitive impairment in Parkinson’s disease

Resting-state EEG measures cognitive impairment in Parkinson’s disease

Blog Article

Abstract Cognitive dysfunction is common in Parkinson’s click here disease (PD).We developed and evaluated an EEG-based biomarker to index cognitive functions in PD from a few minutes of resting-state EEG.We hypothesized that synchronous changes in EEG across the power spectrum can measure cognition.

We optimized a data-driven algorithm to efficiently capture these changes and index cognitive function in 100 PD and 49 control participants.We compared our EEG-based cognitive index with the Montreal cognitive assessment (MoCA) and cognitive tests across different domains from National Institutes of Health (NIH) Toolbox using cross-validations, regression models, and randomization tests.Finally, we externally validated our approach on 32 PD participants.

We observed cognition-related changes in EEG over multiple spectral rhythms.Utilizing only 8 best-performing electrodes, our proposed index strongly correlated with cognition (MoCA: rho = 0.68, p value < 0.

001; NIH-Toolbox cognitive tests: rho ≥ 0.56, p value < 0.001) outperforming nacrack.com traditional spectral markers (rho = −0.

30–0.37).The index showed a strong fit in regression models (R 2 = 0.

46) with MoCA, yielded 80% accuracy in detecting cognitive impairment, and was effective in both PD and control participants.Notably, our approach was equally effective (rho = 0.68, p value < 0.

001; MoCA) in out-of-sample testing.In summary, we introduced a computationally efficient data-driven approach for cross-domain cognition indexing using fewer than 10 EEG electrodes, potentially compatible with dynamic therapies like closed-loop neurostimulation.These results will inform next-generation neurophysiological biomarkers for monitoring cognition in PD and other neurological diseases.