The role of cerebrovascular reactivity on brain activation during a working memory task in type 2 diabetes.

IF 4 Q1 CLINICAL NEUROLOGY
Yarden Oliel, Ramit Ravona-Springer, Maayan Harel, Joseph Azuri, Chen Botvin Moshe, David Tanne, Salo Haratz, Barbara B Bendlin, Michal Schnaider Beeri, Abigail Livny
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引用次数: 0

Abstract

Introduction: Impaired cerebrovascular reactivity (CVR) is common in type 2 diabetes (T2D) patients and is a risk factor for dementia. However, most prior functional magnetic resonance imaging (fMRI) studies in T2D disregarded the impact of impaired CVR on brain activation patterns. This study investigated the relationship between CVR and brain activation during an fMRI task in T2D patients.

Methods: Seventy-four T2D patients underwent a working-memory (WM) fMRI task. CVR was measured by the breath-holding index test using transcranial Doppler (TCD). Regression analyses examined associations between CVR and brain activation and between glycated hemoglobin (HbA1c) and activation with/without adjusting for CVR.

Results: An association between CVR and brain activation was found in the left middle and inferior frontal gyri. Adjusting for CVR led to a different pattern of HbA1c-related activation.

Discussion: The findings highlight methodological implications, emphasizing the importance of accounting for impaired CVR when analyzing and interpreting fMRI data in T2D patients.

Highlights: The study found that cerebrovascular reactivity impacts brain activation patterns during a working memory task in type 2 diabetes patients.Accounting for cerebrovascular reactivity altered the brain regions showing activation related to working memory and glycemic control.The findings highlight the importance of considering vascular factors when interpreting fMRI data in populations with vascular dysfunction.

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来源期刊
CiteScore
7.80
自引率
7.50%
发文量
101
审稿时长
8 weeks
期刊介绍: Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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