Investigation about Correlations Between DTI and Cognitive Domains in Mild Cognitive Impairment
Poster No:
270
Submission Type:
Abstract Submission
Authors:
giho jeon1, Jake Jeong1, Young min Lee2, Kwangyeol baek1
Institutions:
1pusan national university, yangsan-si, gyeongsangnamdo, 2pusan national university hospital, yangsan-si, gyeongsangnamdo
First Author:
Co-Author(s):
Introduction:
previous studies suggested neuropsychological tests are effective in identifying MCI and Alzheimer's disease (AD) more accurately than structural MRI measurement. Here we aimed to investigate correlations between DTI measurements and 6 cognitive domains of neuropsychological tests in MCI patients.
Methods:
We acquired 3D T1-weighted and DTI images from 390 elderly MCI patients and processed them with FSL and SPM. 14 data were excluded due to preprocess quality, and 4 data were excluded due to STROOP test failure. Brain diffusion MR images were collected at Pusan National University Hospital, with b = 600 s/mm^2 diffusion weighting in 62 directions and one b = 0 image. Voxel-wise analysis of fractional anisotropy (FA) and mean diffusivity (MD) were conducted using DARTEL in SPM. SNSB(Seoul Neuropsychological Screening Battery) was used to measure patients' cognitive functions and 6 test scores were used in this study: Attention(Digit Span), Language(Korean Version Boston Naming Test; K-BNT), Visuospatial(Rey-Kim), Memory(Seoul Verbal Learning Test; SVLT), Executive function(STROOP) and Functional activity(Seoul-Instrumental Activities of Daily Living; S-IADL). In S-IADL, evaluate functional activity impairment with a cutoff score of 7.5, which is the clinical diagnostic criteria.
Results:
FA values were correlated only with S-IADL scores in regions several regions including the anterior cingulate gyrus. MD values were correlated with Digit Span, ReyKim, and S-IADL scores. With MD values, Digitspan scores were correlated in regions around mid cingulate gyrus, ReyKim scores were correlated in several regions including the parahippocampal gyrus, and S-IADL scores were correlated in white matter regions widely.
·Significant voxels in voxel-wise correlation analysis between FA values and S-IADL. p < 0.05, FDR corrected.
·Fig 2. Significant voxels in voxel-wise correlation analysis between MD values and neuropsychological test scores. Digit span(left), Rey Kim(middle), S-IADL(right). p < 0.05, FDR corrected.
Conclusions:
MD is more effective in detecting cognitive function decline than FA. Combining DTI data with the neuropsychological tests, we can identify microstructural changes in the brain that contribute to attention, visuospatial function, and functional activity.
Disorders of the Nervous System:
Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s) 1
Modeling and Analysis Methods:
Diffusion MRI Modeling and Analysis 2
Keywords:
Cognition
Degenerative Disease
WHITE MATTER IMAGING - DTI, HARDI, DSI, ETC
1|2Indicates the priority used for review
Provide references using author date format
Kang, Y. (2003), ‘Seoul Neuropsychological Screening Battery.’ Incheon: Human brain research & consulting co.