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Article

Cognitive Impairment in Cerebral Small Vessel Disease Is Associated with Corpus Callosum Microstructure Changes Based on Diffusion MRI

by
Larisa A. Dobrynina
1,
Elena I. Kremneva
1,
Kamila V. Shamtieva
1,*,
Anastasia A. Geints
1,
Alexey S. Filatov
1,
Zukhra Sh. Gadzhieva
1,*,
Elena V. Gnedovskaya
1,
Marina V. Krotenkova
1 and
Ivan I. Maximov
2
1
Research Center of Neurology, 125367 Moscow, Russia
2
Department of Health and Functioning, Western Norway University of Applied Sciences (HVL), 5063 Bergen, Norway
*
Authors to whom correspondence should be addressed.
Diagnostics 2024, 14(16), 1838; https://doi.org/10.3390/diagnostics14161838
Submission received: 1 August 2024 / Revised: 19 August 2024 / Accepted: 19 August 2024 / Published: 22 August 2024
(This article belongs to the Special Issue Advances in the Diagnosis of Nervous System Diseases—2nd Edition)

Abstract

The cerebral small vessel disease (cSVD) is one of the main causes of vascular and mixed cognitive impairment (CI), and it is associated, in particular, with brain ageing. An understanding of structural tissue changes in an intact cerebral white matter in cSVD might allow one to develop the sensitive biomarkers for early diagnosis and monitoring of disease progression. Purpose of the study: to evaluate microstructural changes in the corpus callosum (CC) using diffusion MRI (D-MRI) approaches in cSVD patients with different severity of CI and reveal the most sensitive correlations of diffusion metrics with CI. Methods: the study included 166 cSVD patients (51.8% women; 60.4 ± 7.6 years) and 44 healthy volunteers (65.9% women; 59.6 ± 6.8 years). All subjects underwent D-MRI (3T) with signal (diffusion tensor and kurtosis) and biophysical (neurite orientation dispersion and density imaging, NODDI, white matter tract integrity, WMTI, multicompartment spherical mean technique, MC-SMT) modeling in three CC segments as well as a neuropsychological assessment. Results: in cSVD patients, microstructural changes were found in all CC segments already at the subjective CI stage, which was found to worsen into mild CI and dementia. More pronounced changes were observed in the forceps minor. Among the signal models FA, MD, MK, RD, and RK, as well as among the biophysical models, MC-SMT (EMD, ETR) and WMTI (AWF) metrics exhibited the largest area under the curve (> 0.85), characterizing the loss of microstructural integrity, the severity of potential demyelination, and the proportion of intra-axonal water, respectively. Conclusion: the study reveals the relevance of advanced D-MRI approaches for the assessment of brain tissue changes in cSVD. The identified diffusion biomarkers could be used for the clarification and observation of CI progression.
Keywords: small vessel disease; cognitive impairment; corpus callosum; diffusion models; tract profiles small vessel disease; cognitive impairment; corpus callosum; diffusion models; tract profiles

Share and Cite

MDPI and ACS Style

Dobrynina, L.A.; Kremneva, E.I.; Shamtieva, K.V.; Geints, A.A.; Filatov, A.S.; Gadzhieva, Z.S.; Gnedovskaya, E.V.; Krotenkova, M.V.; Maximov, I.I. Cognitive Impairment in Cerebral Small Vessel Disease Is Associated with Corpus Callosum Microstructure Changes Based on Diffusion MRI. Diagnostics 2024, 14, 1838. https://doi.org/10.3390/diagnostics14161838

AMA Style

Dobrynina LA, Kremneva EI, Shamtieva KV, Geints AA, Filatov AS, Gadzhieva ZS, Gnedovskaya EV, Krotenkova MV, Maximov II. Cognitive Impairment in Cerebral Small Vessel Disease Is Associated with Corpus Callosum Microstructure Changes Based on Diffusion MRI. Diagnostics. 2024; 14(16):1838. https://doi.org/10.3390/diagnostics14161838

Chicago/Turabian Style

Dobrynina, Larisa A., Elena I. Kremneva, Kamila V. Shamtieva, Anastasia A. Geints, Alexey S. Filatov, Zukhra Sh. Gadzhieva, Elena V. Gnedovskaya, Marina V. Krotenkova, and Ivan I. Maximov. 2024. "Cognitive Impairment in Cerebral Small Vessel Disease Is Associated with Corpus Callosum Microstructure Changes Based on Diffusion MRI" Diagnostics 14, no. 16: 1838. https://doi.org/10.3390/diagnostics14161838

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