» Articles » PMID: 33022474

Reduced Fractional Anisotropy of the Genu of the Corpus Callosum As a Cerebrovascular Disease Marker and Predictor of Longitudinal Cognition in MCI

Abstract

Our goal was to evaluate the utility of diffusion tensor imaging (DTI) for predicting future cognitive decline in mild cognitive impairment (MCI) in conjunction with Alzheimer's disease (AD) biomarkers (amyloid positron emission tomography and AD signature neurodegeneration) in 132 MCI individuals ≥60 year old with structural magnetic resonance imaging, DTI, amyloid positron emission tomography, and at least one clinical follow-up. We used mixed-effect models to evaluate the prognostic ability of fractional anisotropy of the genu of the corpus callosum (FA-Genu), as a cerebrovascular disease marker, for predicting cognitive decline along with AD biomarkers. We contrasted the value of white matter hyperintensities, a traditional cerebrovascular disease marker as well as FA in the hippocampal cingulum bundle with the FA-Genu models. FA-Genu significantly predicted cognitive decline even after accounting for AD biomarkers. WMH was not associated with cognitive decline in the model with both WMH and FA-Genu. DTI specifically FA-Genu provides unique complementary information to AD biomarkers and has significant utility for prediction of cognitive decline in MCI.

Citing Articles

Early subacute frontal callosal microstructure and language outcomes after stroke.

Vadinova V, Brownsett S, Garden K, Roxbury T, OBrien K, Copland D Brain Commun. 2025; 7(1):fcae370.

PMID: 39845737 PMC: 11753390. DOI: 10.1093/braincomms/fcae370.


Brain mechanical properties predict longitudinal cognitive change in aging and Alzheimer's disease.

Pavuluri K, Huston 3rd J, Ehman R, Manduca A, Vemuri P, Jack Jr C Neurobiol Aging. 2025; 147:203-212.

PMID: 39813771 PMC: 11833753. DOI: 10.1016/j.neurobiolaging.2025.01.001.


Mapping the impact of age and APOE risk factors for late onset Alzheimer's disease on long range brain connections through multiscale bundle analysis.

Stout J, Anderson R, Mahzarnia A, Han Z, Beck K, Browndyke J bioRxiv. 2024; .

PMID: 38979335 PMC: 11230216. DOI: 10.1101/2024.06.24.599407.


Longitudinal associations of reproductive factors and exogeneous estrogens with neuroimaging biomarkers of Alzheimer's disease and cerebrovascular disease.

Lee J, Raghavan S, Christenson L, Frank R, Kantarci K, Rocca W Alzheimers Dement. 2024; 20(7):4613-4624.

PMID: 38859736 PMC: 11247693. DOI: 10.1002/alz.13890.


Differential Effects of Aging on Regional Corpus Callosum Microstructure and the Modifying Influence of Pulse Pressure.

Kraft J, Matijevic S, Hoagey D, Kennedy K, Rodrigue K eNeuro. 2024; 11(5).

PMID: 38719452 PMC: 11106647. DOI: 10.1523/ENEURO.0449-23.2024.


References
1.
Bruscoli M, Lovestone S . Is MCI really just early dementia? A systematic review of conversion studies. Int Psychogeriatr. 2004; 16(2):129-40. DOI: 10.1017/s1041610204000092. View

2.
Knopman D, Griswold M, Lirette S, Gottesman R, Kantarci K, Sharrett A . Vascular imaging abnormalities and cognition: mediation by cortical volume in nondemented individuals: atherosclerosis risk in communities-neurocognitive study. Stroke. 2015; 46(2):433-40. PMC: 4308430. DOI: 10.1161/STROKEAHA.114.007847. View

3.
Wang L, Goldstein F, Veledar E, Levey A, Lah J, Meltzer C . Alterations in cortical thickness and white matter integrity in mild cognitive impairment measured by whole-brain cortical thickness mapping and diffusion tensor imaging. AJNR Am J Neuroradiol. 2009; 30(5):893-9. PMC: 2901819. DOI: 10.3174/ajnr.A1484. View

4.
Jones D, Cercignani M . Twenty-five pitfalls in the analysis of diffusion MRI data. NMR Biomed. 2010; 23(7):803-20. DOI: 10.1002/nbm.1543. View

5.
Garyfallidis E, Brett M, Amirbekian B, Rokem A, van der Walt S, Descoteaux M . Dipy, a library for the analysis of diffusion MRI data. Front Neuroinform. 2014; 8:8. PMC: 3931231. DOI: 10.3389/fninf.2014.00008. View