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Abstract
Objective To assess the relevance of quantitative EEG (qEEG) measures as outcomes of disease severity and progression in Parkinson disease (PD).
Methods Main databases were systematically searched (January 2018) for studies of sufficient methodologic quality that examined correlations between clinical symptoms of idiopathic PD and cortical (surface) qEEG metrics.
Results Thirty-six out of 605 identified studied were included. Results were classified into 4 domains: cognition (23 studies), motor function (13 studies), responsiveness to interventions (7 studies), and other (10 studies). In cross-sectional studies, EEG slowing correlated with global cognitive impairment and with diffuse deterioration in other domains. In longitudinal studies, decreased dominant frequency and increased θ power, reflecting EEG slowing, were biomarkers of cognitive deterioration at an individual level. Results on motor dysfunction and treatment yielded contrasting findings. Studies on functional connectivity at an individual level and longitudinal studies on other domains or on connectivity measures were lacking.
Conclusion qEEG measures reflecting EEG slowing, particularly decreased dominant frequency and increased θ power, correlate with cognitive impairment and predict future cognitive deterioration. qEEG could provide reliable and widely available biomarkers for nonmotor disease severity and progression in PD, potentially promoting early diagnosis of nonmotor symptoms and an objective monitoring of progression. More studies are needed to clarify the role of functional connectivity and network analyses.
Glossary
- BRF=
- background rhythm frequency;
- DBS=
- deep brain stimulation;
- EWCI=
- edge-wise connectivity index;
- FFT=
- fast Fourier transformation;
- H&Y=
- Hoehn & Yahr;
- JBI=
- Joanna Briggs Institute;
- LFP=
- local field potentials;
- MCI=
- mild cognitive impairment;
- MDS-UPDRS III=
- Movement Disorders Society–Unified Parkinson's Disease Rating Scale III;
- MEG=
- magnetoencephalography;
- MST=
- minimum spanning trees;
- NCOG=
- cognitively normal;
- PD=
- Parkinson disease;
- PDD=
- Parkinson disease dementia;
- PLI=
- phase-lag index;
- PLV=
- phase-locking value;
- PRISMA=
- Preferred Reporting Items for Systematic Reviews and Meta-Analyses;
- qEEG=
- quantitative EEG;
- RBD=
- REM sleep behavior disorder;
- WN=
- weighted network
Footnotes
Go to Neurology.org/N for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.
- © 2018 American Academy of Neurology
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