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Diffusion Tensor Imaging With Tract-Based Spatial Statistics Reveals White Matter Abnormalities in Patients With Vascular Cognitive Impairment.
Front Neuroanat. 2018; 12:53.FN

Abstract

Purpose:

The aim of this study was to evaluate microstructural changes of major white matter (WM) tracts in patients with vascular cognitive impairment (VCI). Method: Diffusion tensor imaging (DTI) data were obtained from 24 subjects with subcortical ischemic vascular disease (SIVD), including 13 subjects with VCI-no dementia (VCIND) and 11 subjects with normal cognition (as a control group). A tract-based spatial statistics approach was performed to investigate WM microstructure in VCIND by integrating multiple indices including fractional anisotropy (FA) and mean diffusivity (MD), which are intra-voxel metrics, and local diffusion homogeneity (LDH), which is an inter-voxel metric.

Results:

The VCIND group had decreased FA and increased MD values throughout widespread WM areas predominately in the corpus callosum, bilateral internal capsule/corona radiata/posterior thalamic radiation/inferior fronto-occipital fasciculus and right inferior/superior longitudinal fasciculus. There was a slight discrepancy between the distribution of areas with decreased FA and LDH. The FA, MD and LDH values were significantly correlated with cognitive test results. According to a WM tract atlas, 10 major tracts were identified as tracts of interest in which three diffusion metrics simultaneously differed between groups, including bilateral anterior thalamic radiation, forceps minor, right corticospinal tract, bilateral inferior fronto-occipital fasciculus, left inferior and superior longitudinal fasciculus, and bilateral uncinate fasciculus. Receiver operating characteristic (ROC) analysis demonstrated the feasibility of using diffusion metrics along the forceps minor and left anterior thalamic radiation for separating two groups.

Conclusion:

The results suggest WM microstructural abnormalities contribute to cognitive impairments in SIVD patients. DTI parameters may be potential biomarkers for detecting VCIND from SIVD.

Authors+Show Affiliations

Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China.Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China. Department of Radiology, Fuqing City Hospital, Fuqing, China.Department of Neurology, Fujian Medical University Union Hospital, Fuzhou, China.Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China.Department of Geriatrics, Fujian Medical University Union Hospital, Fuzhou, China.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

29997482

Citation

Chen, Hua-Jun, et al. "Diffusion Tensor Imaging With Tract-Based Spatial Statistics Reveals White Matter Abnormalities in Patients With Vascular Cognitive Impairment." Frontiers in Neuroanatomy, vol. 12, 2018, p. 53.
Chen HJ, Gao YQ, Che CH, et al. Diffusion Tensor Imaging With Tract-Based Spatial Statistics Reveals White Matter Abnormalities in Patients With Vascular Cognitive Impairment. Frontiers in neuroanatomy. 2018;12:53.
Chen, H. J., Gao, Y. Q., Che, C. H., Lin, H., & Ruan, X. L. (2018). Diffusion Tensor Imaging With Tract-Based Spatial Statistics Reveals White Matter Abnormalities in Patients With Vascular Cognitive Impairment. Frontiers in Neuroanatomy, 12, 53. https://doi.org/10.3389/fnana.2018.00053
Chen HJ, et al. Diffusion Tensor Imaging With Tract-Based Spatial Statistics Reveals White Matter Abnormalities in Patients With Vascular Cognitive Impairment. Frontiers in neuroanatomy. 2018;12:53. PubMed PMID: 29997482.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Diffusion Tensor Imaging With Tract-Based Spatial Statistics Reveals White Matter Abnormalities in Patients With Vascular Cognitive Impairment. AU - Chen,Hua-Jun, AU - Gao,Yong-Qing, AU - Che,Chun-Hui, AU - Lin,Hailong, AU - Ruan,Xin-Lin, Y1 - 2018/06/26/ PY - 2018/01/14/received PY - 2018/06/04/accepted PY - 2018/7/13/entrez PY - 2018/7/13/pubmed PY - 2018/7/13/medline KW - diffusion tensor imaging KW - local diffusion homogeneity KW - subcortical ischemic vascular disease KW - tract-based spatial statistics KW - vascular cognitive impairment SP - 53 EP - 53 JF - Frontiers in neuroanatomy VL - 12 N2 - Purpose: The aim of this study was to evaluate microstructural changes of major white matter (WM) tracts in patients with vascular cognitive impairment (VCI). Method: Diffusion tensor imaging (DTI) data were obtained from 24 subjects with subcortical ischemic vascular disease (SIVD), including 13 subjects with VCI-no dementia (VCIND) and 11 subjects with normal cognition (as a control group). A tract-based spatial statistics approach was performed to investigate WM microstructure in VCIND by integrating multiple indices including fractional anisotropy (FA) and mean diffusivity (MD), which are intra-voxel metrics, and local diffusion homogeneity (LDH), which is an inter-voxel metric. Results: The VCIND group had decreased FA and increased MD values throughout widespread WM areas predominately in the corpus callosum, bilateral internal capsule/corona radiata/posterior thalamic radiation/inferior fronto-occipital fasciculus and right inferior/superior longitudinal fasciculus. There was a slight discrepancy between the distribution of areas with decreased FA and LDH. The FA, MD and LDH values were significantly correlated with cognitive test results. According to a WM tract atlas, 10 major tracts were identified as tracts of interest in which three diffusion metrics simultaneously differed between groups, including bilateral anterior thalamic radiation, forceps minor, right corticospinal tract, bilateral inferior fronto-occipital fasciculus, left inferior and superior longitudinal fasciculus, and bilateral uncinate fasciculus. Receiver operating characteristic (ROC) analysis demonstrated the feasibility of using diffusion metrics along the forceps minor and left anterior thalamic radiation for separating two groups. Conclusion: The results suggest WM microstructural abnormalities contribute to cognitive impairments in SIVD patients. DTI parameters may be potential biomarkers for detecting VCIND from SIVD. SN - 1662-5129 UR - https://www.unboundmedicine.com/medline/citation/29997482/Diffusion_Tensor_Imaging_With_Tract_Based_Spatial_Statistics_Reveals_White_Matter_Abnormalities_in_Patients_With_Vascular_Cognitive_Impairment_ L2 - https://doi.org/10.3389/fnana.2018.00053 DB - PRIME DP - Unbound Medicine ER -
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