Cited by 37Dementia and Cognitive Impairment ResearchHallucinations in medical conditionsEEG and Brain-Computer Interfaces

EEG-based neurophysiological indicators of hallucinations in Alzheimer's disease: Comparison with dementia with Lewy bodies

Open access
Dauwan, Meenakshi, Linszen, Mascha M.J., Lemstra, Afina W., Scheltens, Philip, Stam, Cornelis J., Sommer, Iris E.·2018·Neurobiology of Aging

Abstract

We studied neurophysiological indicators of hallucinations in Alzheimer's disease patients with hallucinations (ADhall+), and compared them with nonhallucinating AD (ADhall-) and dementia with Lewy bodies (DLBhall+) patients. Thirty-six matched ADhall+ and 108 ADhall- and 29 DLBhall+ patients were selected from the Amsterdam Dementia Cohort. Electroencephalography (EEG) spectral and functional connectivity (FC) analyses (phase lag index) were performed. Quantitative and visual EEG measures were combined in a random forest algorithm to determine which EEG-based variable(s) play a role in hallucinations. ADhall+ patients showed lower peak frequency (7.26 vs. 7.94 Hz, p < 0.01), α2-and β-power, and α2-FC but higher δ-power compared to ADhall-. ADhall+ showed lower δ-power, higher β-power, and α1-FC than DLBhall+ but did not differ in peak frequency (7.26 vs. 6.95 Hz), θ- or α-power. ADhall+ patients could be differentiated from ADhall- and DLBhall+ with a weighted accuracy of 71% with α1-power and 100% with β-FC, the 2 most differentiating features. In sum, EEG slowing and decrease in α1-and β-band activity form potential neurophysiological indicators of underlying cholinergic deficiency in ADhall+ and DLBhall+.

Integrity signals

Registry

Crossref · 10.1016/j.neurobiolaging.2018.03.013

Cites

57 of 57 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Dauwan, M., Linszen, M. M. J., Lemstra, A. W., Scheltens, P., Stam, C. J., & Sommer, I. E.
Affiliations
  • University Medical Center Groningen (NL)
  • Amsterdam Neuroscience (NL)
Corresponding author
Dauwan, Meenakshi
Venue
Neurobiology of Aging
Publisher
Elsevier BV
Published
2018-07
Volume
67
Pages
75-83
ISSN
0197-4580 (ISSN-L)
OpenAlex
W2792438475
Cited by
37
References
57
Citations by year
2026: 2 · 2025: 3 · 2024: 8 · 2023: 3 · 2022: 4 · 2021: 6 · 2020: 8 · 2019: 3
FWCI
3.33
Type
journal article
Language
en
Open access
Locations
  • Neurobiology of Aging (publishedVersion)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (publishedVersion)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
  • University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion)
  • Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
  • University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
  • Utrecht University Repository (Utrecht University) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Funders
TOP
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Hallucinations in medical conditions
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Keywords
hallucinations, Alzheimer's disease, dementia with Lewy bodies, EEG spectral power, functional connectivity, phase lag index, cholinergic deficit, EEG slowing, alpha band, beta band, delta band, neurophysiological markers
MeSH terms
Aged, Aged, 80 and over, Alzheimer Disease, Cognition, Electroencephalography, Female, Hallucinations, Humans, Male, Middle Aged, Cohort Studies, Lewy Body Disease

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review