Evidence map›Paper›PMID 40116356›Full record

ArticleMedical physics2025

Investigation of neuro-vascular reactivity on fMRI study during visual activation in people with multiple sclerosis using EEG and hypercapnia challenge.

Wanyong Shin, Balu Krishnan, Ajay Nemani, Daniel Ontaneda, Mark J Lowe

Abstract read
In one paragraph

Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wanyong ShinImaging Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Balu KrishnanEpilepsy Center, Cleveland Clinic, Cleveland, Ohio, USA.
Ajay NemaniImaging Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Daniel OntanedaImaging Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Mark J LoweImaging Institute, Cleveland Clinic, Cleveland, Ohio, USA.

Funding

Neuronal Activity and Vascular Coupling in fMRI Studies of Multiple SclerosisR21NS106522 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI LOWE, MARK J · 2018 to 2019
$440k
Neuronal Activity and Vascular Coupling in fMRI Studies of Multiple SclerosisR03NS091753 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI LOWE, MARK J · 2015 to 2015
$73k
National Multiple Sclerosis Society PP1898NINDS NIH HHS 1R03NS091753-01NINDS NIH HHS 1R21NS106522-01A1NINDS NIH HHS R03 NS091753NINDS NIH HHS R21 NS106522
6 · The paper itself

Abstract

backgroundPeople with multiple sclerosis (MS) exhibit a different pattern of blood oxygenation level-dependent (BOLD) activation on functional magnetic resonance imaging (fMRI) studies when compared to healthy control (HC). PURPOSE: The objective of this study is to determine whether observed differences in BOLD activation between people with MS (pwMS) and HC participants are due to the differences of neurovascular coupling, cerebral blood flow (CBF) or actual neuronal activity.

methodsWe investigated the neuronal activation in pwMS (n = 11) and age- and sex-matched HC participants (n = 15) using simultaneous electroencephalogram (EEG) and fMRI measures during a visual task (VT) and hypercapnia condition.

resultsSignificant neurovascular coupling is observed in both HC and pwMS. Neuro-vascular coupling ratios are not significantly different between groups. However, we observe significantly lower CBF increase during VT and higher quantitative CBF at a rest state in pwMS than in HC (p < 0.05). From the multiple regression model, in HC group, we found that the BOLD contrast change during VT is best predicted by the EEG power change during VT (Student t-score = 2.64, p = 0.022), and the CBF change during hypercapnia (Student t-score = 2.59, p = 0.024). In pwMS, the BOLD contrast change during VT is negatively predicted by the CBF change during VT (Student t-score = -4.02, p = 0.003).

conclusionThese findings could explain that BOLD activation in pwMS is mainly determined by the blood flow change during activation rather than the direct neuronal activation measures or hemodynamic vascular reactivity during hypercapnia challenge, suggesting that altered vasodilatory effects in response to task activation in pwMS might be linked to impaired cerebral hemodynamics, possibly leading to the widely observed abnormal BOLD activation in fMRI studies of pwMS.

Indexed as

Cerebrovascular CirculationElectroencephalographyHypercapniaMagnetic Resonance ImagingMultiple SclerosisAdultFemaleHumansMaleMiddle AgedNeurovascular CouplingOxygenOxygencerebral blood flowEEGfMRIhypercapniamultiple sclerosisneurovascular coupling

Identifiers

PMID40116356
PMCPMC12149704

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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.