Evidence map›Paper›PMID 33967737›Full record

ArticleFrontiers in aging neuroscience2021

EEG-fMRI Signal Coupling Is Modulated in Subjects With Mild Cognitive Impairment and Amyloid Deposition.

Lars Michels, Florian Riese, Rafael Meyer, Andrea M Kälin, Sandra E Leh, Paul G Unschuld, Roger Luechinger, Christoph Hock, Ruth O'Gorman, Spyros Kollias and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
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

12 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 6 institutions in 1 country.

Lars MichelsDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland.
Florian RieseDepartment of Geriatric Psychiatry, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland.
Rafael MeyerInstitute for Regenerative Medicine (IREM), University of Zurich, Zurich, Switzerland.
Andrea M KälinInstitute for Regenerative Medicine (IREM), University of Zurich, Zurich, Switzerland.
Sandra E LehInstitute for Regenerative Medicine (IREM), University of Zurich, Zurich, Switzerland.
Paul G UnschuldDepartment of Geriatric Psychiatry, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland.
Roger LuechingerInstitute of Biomedical Engineering, University and Eidgenössische Technische Hochschule (ETH) Zurich, Zurich, Switzerland.
Christoph HockInstitute for Regenerative Medicine (IREM), University of Zurich, Zurich, Switzerland.
Ruth O'GormanCenter for Magnetic Resonance Research, University Children's Hospital Zurich, Zurich, Switzerland.
Spyros KolliasDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland.
Anton GietlDepartment of Geriatric Psychiatry, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland.
University Hospital of Zurich · CHSwiss Institute for Regenerative Medicine · CHUniversity of Zurich · CHInstitute for Biomedical Engineering · CHLight Chain Bioscience (Switzerland) · CHUniversity Children's Hospital Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive impairment indicates disturbed brain physiology which can be due to various mechanisms including Alzheimer's pathology. Combined functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) recordings (EEG-fMRI) can assess the interplay between complementary measures of brain activity and EEG changes to be localized to specific brain regions. We used a two-step approach, where we first examined changes related to a syndrome of mild cognitive impairment irrespective of pathology and then studied the specific impact of amyloid pathology. After detailed clinical and neuropsychological characterization as well as a positron emission tomography (PET) scans with the tracer 11-[C]-Pittsburgh Compound B to estimate cerebral amyloid deposition, 14 subjects with mild cognitive impairment (MCI) (mean age 75.6 SD: 8.9) according to standard criteria and 21 cognitively healthy controls (HCS) (mean age 71.8 SD: 4.2) were assessed with EEG-fMRI. Thalamo-cortical alpha-fMRI signal coupling was only observed in HCS. Additional EEG-fMRI signal coupling differences between HCS and MCI were observed in parts of the default mode network, salience network, fronto-parietal network, and thalamus. Individuals with significant cerebral amyloid deposition (amyloid-positive MCI and HCS combined compared to amyloid-negative HCS) displayed abnormal EEG-fMRI signal coupling in visual, fronto-parietal regions but also in the parahippocampus, brain stem, and cerebellum. This finding was paralleled by stronger absolute fMRI signal in the parahippocampus and weaker absolute fMRI signal in the inferior frontal gyrus in amyloid-positive subjects. We conclude that the thalamocortical coupling in the alpha band in HCS more closely reflects previous findings observed in younger adults, while in MCI there is a clearly aberrant coupling in several networks dominated by an anticorrelation in the posterior cingulate cortex. While these findings may broadly indicate physiological changes in MCI, amyloid pathology was specifically associated with abnormal fMRI signal responses and disrupted coupling between brain oscillations and fMRI signal responses, which especially involve core regions of memory: the hippocampus, para-hippocampus, and lateral prefrontal cortex.

Indexed as

Alzheimer'samnesticdementiaelectroencephalographyfunctional MRImild cognitive impairment

Identifiers

PMID33967737
PMCPMC8104007
OpenAlexW3157923077

What OpenQuestion holds

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LicenceCC BY
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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.