Evidence map›Paper›PMID 39236511›Full record

ArticleParkinsonism & related disorders2024

Resting-state EEG predicts cognitive decline in a neuropathologically diagnosed longitudinal community autopsied cohort.

Alexander Choi, Nan Zhang, Charles H Adler, Thomas G Beach, Holly A Shill, Erika Driver-Dunckley, Shyamal Mehta, Christine Belden, Alireza Atri, Marwan N Sabbagh and 1 more

Abstract read
In one paragraph

Article in Parkinsonism & related disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Alexander ChoiBanner Sun Health Research Institute, 10515 W Santa Fe Dr, Sun City, AZ, 85351, USA. Electronic address: alexander.h.choi@kp.org.
Nan ZhangDepartment of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, 13400 E Shea Blvd, Scottsdale, AZ, 85259, USA.
Charles H AdlerDepartment of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, 13400 E Shea Blvd, Scottsdale, AZ, 85259, USA.
Thomas G BeachBanner Sun Health Research Institute, 10515 W Santa Fe Dr, Sun City, AZ, 85351, USA.
Holly A ShillBarrow Neurological Institute, 240 W. Thomas Suite 301, Phoenix, AZ, 85013, USA.
Erika Driver-DunckleyDepartment of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, 13400 E Shea Blvd, Scottsdale, AZ, 85259, USA.
Shyamal MehtaDepartment of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, 13400 E Shea Blvd, Scottsdale, AZ, 85259, USA.
Christine BeldenBanner Sun Health Research Institute, 10515 W Santa Fe Dr, Sun City, AZ, 85351, USA.
Alireza AtriBanner Sun Health Research Institute, 10515 W Santa Fe Dr, Sun City, AZ, 85351, USA.
Marwan N SabbaghBarrow Neurological Institute, 240 W. Thomas Suite 301, Phoenix, AZ, 85013, USA.
John N CavinessDepartment of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, 13400 E Shea Blvd, Scottsdale, AZ, 85259, USA.

Funding

Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5M
Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI Nicholas Ashton · 2021 to 2026
$24.9M
National Brain and Tissue Resource for Parkinson's Disease and Related DisordersU24NS072026 · NINDS · BANNER SUN HEALTH RESEARCH INSTITUTE · PI BEACH, THOMAS G · 2011 to 2015
$7.8M
NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG072980NINDS NIH HHS U24 NS072026
6 · The paper itself

Abstract

objectiveTo assess correlative strengths of quantitative electroencephalography (qEEG) and visual rating scale EEG features on cognitive outcomes in only autopsied cases from the Arizona Study of Neurodegenerative Disorders (AZSAND). We hypothesized that autopsy proven Parkinson Disease will show distinct EEG features from Alzheimer's Disease prior to dementia (mild cognitive impairment).

backgroundCognitive decline is debilitating across neurodegenerative diseases. Resting-state EEG analysis, including spectral power across frequency bins (qEEG), has shown significant associations with neurodegenerative disease classification and cognitive status, with autopsy confirmed diagnosis relatively lacking.

methodsBiannual EEG was analyzed from autopsied cases in AZSAND who had at least one rsEEG (>1 min eyes closed±eyes open). Analysis included global relative spectral power and a previously described visual rating scale (VRS). Linear mixed regression was performed for neuropsychological assessment and testing within 2 years of death (n = 236, 594 EEG exams) in a mixed linear regression model.

resultsThe cohort included cases with final clinicopathologic diagnoses of Parkinson's disease (n = 73), Alzheimer disease (n = 65), and tauopathy not otherwise specified (n = 56). A VRS score of 3 diffuse or frequent generalized slowing) over the study duration was associated with an increase in consensus diagnosis cognitive worsening at 4.9 (3.1) years (HR 2.02, CI 1.05-3.87). Increases in global theta power% and VRS were the most consistently associated with large regression coefficients inversely with cognitive performance measures.

conclusionResting-state EEG analysis was meaningfully related to cognitive performance measures in a community-based autopsy cohort. EEG deserves further study and use as a cognitive biomarker.

Indexed as

Alzheimer DiseaseCognitive DysfunctionElectroencephalographyAgedAged, 80 and overAutopsyCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedParkinson DiseaseTauopathiesAlzheimer diseaseClinical-pathologic cohortCognitive trajectoriesNeurodegenerative longitudinal outcomesParkinson diseaseqEEGQuantitative electroencephalography

Identifiers

PMID39236511
PMCPMC12045475

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Registered trials

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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.