ReviewFrontiers in neuroscience2023
Electroencephalogram measured functional connectivity for delirium detection: a systematic review.
Review in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Quantitative EEG-Based Detection of Poststroke Delirium Endotypes and Their Association With Biomarkers of Inflammation.Brain and behavior · 2026Observational
- Predicting delirium in critically Ill COVID-19 patients using EEG-derived data: a machine learning approach.GeroScience · 2026Observational
- Electroencephalographic phenotypes of postoperative delirium in the perioperative period.Journal of anesthesia and translational medicine · 2026Review
- Proof-of-Concept of IMU-Based Detection of ICU-Relevant Agitation Motion Patterns in Healthy Volunteers.Bioengineering (Basel, Switzerland) · 2026Article
- Prevention of postoperative delirium with transcranial alternating current stimulation: study protocol for a randomised controlled trial.Frontiers in psychiatry · 2026Article
- Incidence and prognostic impact of delirium after cardiac arrest: a systematic review and meta-analysis.Resuscitation plus · 2026Review
- Prediction of postoperative delirium in older adults from preoperative cognition and occipital alpha power from resting-state electroencephalogram.Age and ageing · 2025Observational
- Article
- Mechanisms underlying delirium in patients with critical illness.Frontiers in aging neuroscience · 2024Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Delirium is an acute alteration of consciousness marked by confusion, inattention, and changes in cognition. Some speculate that delirium may be a disorder of functional connectivity, but the requirement to lay still may limit measurement with existing functional imaging modalities in this population. Electroencephalography (EEG) may allow for a more feasible approach to the study of potential connectivity disturbances in delirium. We conducted a systematic review to investigate whether there are EEG-measurable differences in brain functional connectivity in the resting state associated with delirium. Methods: Medline, PubMed, PsychInfo, Embase and CINAHL were searched for relevant articles containing original data studying EEG functional connectivity measures in delirium. Results: The search yielded 1,516 records. Following strict inclusion criteria, four studies were included in the review. The studies used a variety of EEG measures including phase lag index, coherence, entropy, shortest path length, minimum spanning tree, and network clustering coefficients to study functional connectivity between scalp electrodes. Across connectivity measures, delirium was associated with decreased brain functional connectivity. All four studies found decreased alpha band connectivity for patients with delirium. None of the studies directly compared the different motor subtypes of delirium. Significance: This systematic review provides converging evidence for disturbances in oscillatory-based functional connectivity in delirium.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.