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Distinct Patterns of Interhemispheric Connectivity in Patients With Early- and Late-Onset Alzheimer's Disease

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Specialty Geriatrics
Date 2018 Sep 22
PMID 30237764
Citations 16
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Abstract

: Early-onset Alzheimer's disease (EOAD) presents a different clinical profile than late-onset Alzheimer's disease (LOAD). Neuroimaging studies have demonstrated that patients with EOAD present more atrophy and functional disconnection than LOAD patients. However, it remains unknown whether the interhemispheric functional disconnection or its underlying structural impairment contributes to the different clinical profiles of EOAD and LOAD. : According to the arbitrary cut-off age of 65, we included 22 EOAD patients, 27 LOAD patients and 38 healthy controls (further divided into 21 relatively young and 17 old controls). Participants underwent resting-state functional MRI, diffusion tensor imaging (DTI) and comprehensive neuropsychological assessments. We used voxel-mirrored homotopic connectivity (VMHC) to examine interhemispheric functional connectivity. Then, we calculated the diffusion index based on tract-based spatial statistics (TBSS). Two-sample -tests were used to assess the interhemispheric connectivity differences between each patient group and its corresponding control group. : We found that the EOAD patients had lower VMHC in the hippocampus, parahippocampal gyrus (PHG), superior temporal gyrus (STG) and inferior parietal cortex (IPC) than did controls. Consistently, the EOAD patients exhibited white matter (WM) tract impairment in the posterior regions. On the other hand, the LOAD patients displayed increased VMHC and impaired WM tracts in the frontal region. Correlation analyses showed that VMHC in the IPC was related to executive function in the EOAD patients ( = -0.67, < 0.05). : In contrast to the LOAD patients, patients with EOAD exhibited more widely disrupted interhemispheric functional and structural connectivity, which overlapped well across brain regions. In addition, for the EOAD patients, decreased interhemispheric connectivity related to executive deficits. Our study suggested that different interhemispheric connectivity damage patterns may contribute to the distinct clinical profiles in EOAD and LOAD.

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References
1.
Liu Y, Yu C, Zhang X, Liu J, Duan Y, Alexander-Bloch A . Impaired long distance functional connectivity and weighted network architecture in Alzheimer's disease. Cereb Cortex. 2013; 24(6):1422-35. PMC: 4215108. DOI: 10.1093/cercor/bhs410. View

2.
Filley C, Kelly J, Heaton R . Neuropsychologic features of early- and late-onset Alzheimer's disease. Arch Neurol. 1986; 43(6):574-6. DOI: 10.1001/archneur.1986.00520060038014. View

3.
Smith S, Nichols T . Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage. 2008; 44(1):83-98. DOI: 10.1016/j.neuroimage.2008.03.061. View

4.
Reid A, Evans A . Structural networks in Alzheimer's disease. Eur Neuropsychopharmacol. 2013; 23(1):63-77. DOI: 10.1016/j.euroneuro.2012.11.010. View

5.
Daianu M, Mendez M, Baboyan V, Jin Y, Melrose R, Jimenez E . An advanced white matter tract analysis in frontotemporal dementia and early-onset Alzheimer's disease. Brain Imaging Behav. 2015; 10(4):1038-1053. PMC: 5167220. DOI: 10.1007/s11682-015-9458-5. View