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Electroencephalogram measured functional connectivity for delirium detection: a systematic review
Angelica Hanna1,2, Jeffrey Jirsch1,3, Claude Alain4,5,6,7
1Department of Medicine, University of Toronto, Toronto, ON, Canada.
Frontiers in Neuroscience
|November 30, 2023
Summary
Electroencephalography (EEG) reveals decreased brain functional connectivity in delirium patients. This systematic review highlights altered brain network activity, particularly in the alpha band, in individuals experiencing delirium.
Area of Science:
- Neuroscience
- Clinical Neurology
- Medical Imaging
Background:
- Delirium is an acute confusional state impacting consciousness and cognition.
- Functional connectivity disturbances are hypothesized in delirium.
- Traditional functional imaging is challenging in delirious patients due to immobility requirements.
Purpose of the Study:
- To systematically review studies investigating EEG-measurable differences in resting-state brain functional connectivity in delirium.
- To explore the feasibility of EEG for studying connectivity in delirium.
Main Methods:
- Systematic literature search across major databases (Medline, PubMed, PsychInfo, Embase, CINAHL).
- Inclusion of studies with original data on EEG functional connectivity measures in delirium.
- Analysis of various EEG connectivity metrics (e.g., phase lag index, coherence, entropy).
Main Results:
- Four studies met inclusion criteria from 1,516 initial records.
- Delirium was consistently associated with decreased brain functional connectivity across multiple measures.
- All included studies reported decreased alpha band connectivity in patients with delirium.
Conclusions:
- Converging evidence supports disturbances in oscillatory-based functional connectivity in delirium.
- EEG offers a feasible method for assessing brain connectivity in delirium.
- Further research is needed to explore motor subtypes of delirium.
