Patients with Mild Cognitive Impairment May be Stratified by Advanced Diffusion Metrics and Neurocognitive Testing. Issue 1 (11th December 2018)

• Record Type: Journal Article
• Authors: Allen, Jason W.; Yazdani, Milad; Kang, Jian; Magnussen, Marcus J.; Qiu, Deqiang; Hu, William
• Is Part Of: Journal of neuroimaging. Volume 29:Issue 1(2019)
• Page Start: 79
• Page End: 84
• Publication Date: 2018-12-11
• Subjects: Mild cognitive impairment -- MCI -- diffusion imaging -- DTI -- DKI; Diagnostic imaging -- Periodicals; Nervous system -- Diseases -- Diagnosis -- Periodicals; Imagerie pour le diagnostic -- Périodiques; Système nerveux -- Maladies -- Diagnostic -- Périodiques; Imagerie médicale; Neuroimagerie; Neurologie; Système nerveux; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.804754
• DOI: 10.1111/jon.12588
• Languages: English
• ISSNs: 1051-2284

Abstract

ABSTRACT: BACKGROUND AND PURPOSE: Mild cognitive impairment (MCI) is a prevalent disorder, with a subset of patients progressing to dementia each year. Although MCI may be subdivided into amnestic or vascular types as well as into single or multiple cognitive domain involvement, most prior studies using advanced diffusion imaging have not accounted for these categories. The purpose of the current study was to determine if the pattern of diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) metrics in patients with amnestic MCI (aMCI) correlate to specific cognitive domain impairments. METHODS: Nineteen consecutive patients with aMCI referred for brain magnetic resonance imaging (MRI) were included. All subjects underwent neurocognitive testing. A z ‐score was calculated for each domain and a composite of all four domains. Brain MRI included standard structural imaging and diffusion imaging. Volumetric, DTI, and DKI metrics were calculated and statistical analysis was performed with adjustments for multiple measures and comparisons. RESULTS: Statistically significant correlations between diffusion metrics and cognitive z ‐scores were detected: visuospatial‐visuoconstructional z ‐scores only correlated with alterations in the corpus callosum splenium, executive functioning z ‐scores with the corpus callosum genu, memory testing z ‐scores with the left hippocampus, and composite z ‐scores with the anterior centrum semiovale. CONCLUSION: Neuroimaging studies of patients with aMCI to date have assumed a population with homogeneous cognitive impairment. Our results demonstrate selective patterns of regional diffusion metric alterations correlate to specific cognitive domain impairments. Future studies should account for this heterogeneity, and this may also be useful for prognostication.