Evidence map›Paper›PMID 42491938›Full record

ArticleBrain communications2026

Dynamic, state-dependent characteristics of cognitive fluctuations in Lewy body dementia: a magnetoencephalography study.

Hojjatollah Sadeqi, Babak Ahmadi, Zohreh Morshedizad, Rachael Burke, Bhavana Patel, Nikolaus R McFarland, Melissa J Armstrong, Abbas Babajani-Feremi

Abstract read
In one paragraph

Article in Brain communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Hojjatollah SadeqiDepartment of Neurology, University of Florida, Gainesville, FL 32611, USA.
Babak AhmadiDepartment of Neurology, University of Florida, Gainesville, FL 32611, USA.
Zohreh MorshedizadDepartment of Neurology, University of Florida, Gainesville, FL 32611, USA.
Rachael BurkeDepartment of Neurology, University of Florida, Gainesville, FL 32611, USA.
Bhavana PatelDepartment of Neurology, University of Florida, Gainesville, FL 32611, USA.
Nikolaus R McFarlandDepartment of Neurology, University of Florida, Gainesville, FL 32611, USA.
Melissa J ArmstrongDepartment of Neurology, University of Florida, Gainesville, FL 32611, USA.
Abbas Babajani-FeremiDepartment of Neurology, University of Florida, Gainesville, FL 32611, USA.

Funding

Social Determinants of Health, Race/Ethnicity, and White Matter HyperintensitiesP30AG066506 · NIA · UNIVERSITY OF FLORIDA · PI Ranjan Duara, DAVID LOEWENSTEIN · 2020 to 2026
$25.6M
Bio-RaPID: Biomarkers and Rates of Progression In Dementia.R01AG089380 · NIA · MAYO CLINIC JACKSONVILLE · PI DAY, GREGORY SCOTT · 2024 to 2025
$4.1M
Identifying Factors Predicting ACcurately End-of-Life in Dementia with Lewy Bodies and Promoting Quality End-of-Life Experiences: the PACE-DLB StudyR01AG068128 · NIA · UNIVERSITY OF FLORIDA · PI ARMSTRONG, MELISSA JO · 2020 to 2024
$3.4M
Improving Primary Care Clinicians' Advance Care Planning for Alzheimer's Disease and Related DementiasR01AG083828 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Christine E Kistler · 2023 to 2026
$3.1M
Smartphone phenotype collection for diagnostic screening of mild cognitive impairmentR44AG062072 · NIA · PARABON NANOLABS, INC. · PI ARMENTROUT, STEVEN L · 2021 to 2022
$1.9M
Higher Order Convolutional Neural Network for Classification of Lewy-body Diseases and Alzheimers DiseaseR01NS121099 · NINDS · UNIVERSITY OF FLORIDA · PI VEMURI, BABA C · 2024 to 2025
$735k
NIA NIH HHS P30 AG066506NIA NIH HHS R01 AG068128NIA NIH HHS R01 AG083828NIA NIH HHS R01 AG089380NIA NIH HHS R44 AG062072NINDS NIH HHS R01 NS121099
6 · The paper itself

Abstract

Cognitive fluctuations are a hallmark clinical feature of Lewy body dementia (LBD), yet their underlying neural mechanisms remain poorly understood. This study aimed to identify dynamic, state-dependent neural signatures of cognitive fluctuations in LBD using magnetoencephalography and dynamic functional connectivity based on hidden Markov modelling. Resting-state magnetoencephalography data were acquired from individuals with LBD, Parkinson's disease without dementia and cognitively normal controls. Hidden Markov modelling was used to identify transient brain states followed by spectral analyses across regions and states. Additionally, associations between regional spectral power and cognitive fluctuations severity, measured by the Clinician Assessment of Fluctuation, were assessed. Patients with LBD exhibited a distinct pattern of brain dynamics, particularly in two states (States 2 and 6), characterized by increased fractional occupancy of State 2 and markedly reduced occupancy of State 6, contrasting with the more distributed state engagement observed in Parkinson's disease and normal controls. Spectral analyses revealed widespread slowing in LBD, with elevated theta/beta power ratios in frontal, parietal and visual cortices-most pronounced in States 2 and 6. Region-specific theta/beta power ratio elevations were identified in the anterior cingulate, medial prefrontal cortex, posterior cingulate, dorsal visual stream and auditory cortex. Critically, Clinician Assessment of Fluctuation scores correlated positively with spectral power in low frequency (δ and θ) and negatively with power in the high frequency (α and β), particularly in the ventral visual stream, default mode network hubs and sensorimotor regions. These findings reveal dynamic and spatially specific electrophysiological abnormalities in LBD closely linked to cognitive fluctuations severity, suggesting that magnetoencephalography-hidden-Markov-model characteristics hold promise as biomarkers for diagnosis, monitoring and therapeutic targeting in LBD.

Indexed as

cognitive fluctuations (CF)dynamic functional connectivityhidden Markov modelling (HMM)Lewy body dementia (LBD)magnetoencephalography (MEG)

Identifiers

PMID42491938
PMCPMC13378770

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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.