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. 2022 Aug 24:13:923310.
doi: 10.3389/fneur.2022.923310. eCollection 2022.

Changes of brain function in patients with type 2 diabetes mellitus measured by different analysis methods: A new coordinate-based meta-analysis of neuroimaging

Affiliations

Changes of brain function in patients with type 2 diabetes mellitus measured by different analysis methods: A new coordinate-based meta-analysis of neuroimaging

Ze-Yang Li et al. Front Neurol. .

Abstract

Objective: Neuroimaging meta-analysis identified abnormal neural activity alterations in patients with type 2 diabetes mellitus (T2DM), but there was no consistency or heterogeneity analysis between different brain imaging processing strategies. The aim of this meta-analysis was to determine consistent changes of regional brain functions in T2DM via the indicators obtained by using different post-processing methods.

Methods: Since the indicators obtained using varied post-processing methods reflect different neurophysiological and pathological characteristics, we further conducted a coordinate-based meta-analysis (CBMA) of the two categories of neuroimaging literature, which were grouped according to similar data processing methods: one group included regional homogeneity (ReHo), independent component analysis (ICA), and degree centrality (DC) studies, while the other group summarized the literature on amplitude of low-frequency fluctuation (ALFF) and cerebral blood flow (CBF).

Results: The final meta-analysis included 23 eligible trials with 27 data sets. Compared with the healthy control group, when neuroimaging studies were combined with ReHo, ICA, and DC measurements, the brain activity of the right Rolandic operculum, right supramarginal gyrus, and right superior temporal gyrus in T2DM patients decreased significantly. When neuroimaging studies were combined with ALFF and CBF measurements, there was no clear evidence of differences in the brain function between T2DM and HCs.

Conclusion: T2DM patients have a series of spontaneous abnormal brain activities, mainly involving brain regions related to learning, memory, and emotion, which provide early biomarkers for clarifying the mechanism of cognitive impairment and neuropsychiatric disorders in diabetes.

Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=247071, PROSPERO [CRD42021247071].

Keywords: coordinated-based meta-analysis; functional magnetic resonance imaging; functional neuroimaging; mild cognitive impairment; type 2 diabetes mellitus.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flowchart to identify the eligible studies for meta-analysis. ROI, region of interest.
Figure 2
Figure 2
Meta-analysis results of the all 17 data sets comparing group 1 differences between T2DM patients and healthy controls.
Figure 3
Figure 3
Funnel plot of effect size of the right supramarginal gyrus.
Figure 4
Figure 4
Forest plot of peak MNI coordinate.
Figure 5
Figure 5
Indicator of reliable brain function. The test–retest reliability was measured with intra-class correlation (ICC) for the following brain functional indicator: regional homogeneity (ReHo), independent component analysis (ICA), degree centrality (DC), and ReHo, ICA, and DC combined. A metric with moderate to almost perfect test–retest reliability (ICC ≥ 0.4) is commonly expected in practice.

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