Abstract
Type 2 diabetes mellitus (T2DM) and cognitive dysfunction are highly prevalent disorders worldwide. Although visual network (VN) alteration and functional-structural coupling are potential warning factors for mild cognitive impairment (MCI) in T2DM patients, the relationship between the three in T2DM without MCI is unclear. Thirty T2DM patients without MCI and twenty-nine healthy controls (HC) were prospectively enrolled. Visual components (VC) were estimated by independent component analysis (ICA). Degree centrality (DC), amplitude of low frequency fluctuation (ALFF) and fractional anisotropy (FA) were established to reflect functional and structural characteristics in these VCs respectively. Functional-structural coupling coefficients were further evaluated using combined FA and DC or ALFF. Partial correlations were performed among neuroimaging indicators and neuropsychological scores and clinical variables. Three VCs were selected using group ICA. Deteriorated DC, ALFF and DC-FA coefficients in the VC1 were observed in the T2DM group compared with the HC group, while FA and ALFF-FA coefficients in these three VCs showed no significant differences. In the T2DM group, DC in the VC1 positively correlated with 2 dimensions in the California Verbal Learning Test, including Trial 4 and Total trial 1–5. The impaired DC-FA coefficients in the VC1 markedly affected the Total perseverative responses % of the Wisconsin Card Sorting Test. These findings indicate that DC and DC-FA coefficients in VN may be potential imaging biomarkers revealing early cognitive deficits in T2DM.
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Upon reasonable request, the original data set can be obtained from the corresponding author.
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Acknowledgements
The authors want to thank the clinical and the nursing team of the Endocrinology Department in Tangdu Hospital for their cooperation with working on patients' recruiting.
Funding
This work was supported by the Basal Application Research Project of Medical Technology Youth Incubation Programme (21QNPY075 to LFY) and the Training Program of High-Level Scientific and Technological Achievements (2020CGPY003 to GBC).
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LYF and GBC, Conceptualization; YY and LZY, Data curation; MHN, Formal analysis; LFY and GBC, Funding acquisition; TM, Investigation; YY and HX Methodology; SNL and PD, Project administration; TM, Resources; XYC and YYC Software; LFY and GBC, Supervision; YY, Validation; MHN, Visualization; MHN Roles/Writing—original draft; LFY, Writing—review & editing.
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The experiment was approved by the “Ethics Committee of Tangdu Hospital” (2014–03-03) and registered with ClinicalTrials.gov (NCT02420470, https://www.clinicaltrials.gov/). All experiments were in accordance with the principles of the Declaration of Helsinki.
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Ni, MH., Yu, Y., Yang, Y. et al. Functional-structural decoupling in visual network is associated with cognitive decline in patients with type 2 diabetes mellitus: evidence from a multimodal MRI analysis. Brain Imaging and Behavior 18, 73–82 (2024). https://doi.org/10.1007/s11682-023-00801-6
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DOI: https://doi.org/10.1007/s11682-023-00801-6