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Distinct Patterns of Interhemispheric Connectivity in Patients with Early- and Late-Onset Alzheimer’s Disease
Kaicheng li1, Xiao Luo1, Qingze Zeng1, Peiyu Huang1, Yong Zhang2, and Min-Ming Zhang1

1The 2nd Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China, 2GE Healthcare Shanghai, Shanghai, China

Synopsis

Early-onset Alzheimer’s disease (EOAD) presents a different clinical profile than late-onset Alzheimer’s disease (LOAD). We used voxel-mirrored homotopic connectivity (VMHC) to examine interhemispheric functional connectivity and tract-based spatial statistics (TBSS) to reflect the diffusion index. We found EOAD patients exhibited more widely disrupted interhemispheric functional and structural connectivity, which related to executive deficits. Our study suggested that different interhemispheric connectivity damage patterns may contribute to the distinctclinical profiles in EOAD and LOAD.

Introduction

Although sharing the same neuropathological hallmarks, Early-onset Alzheimer’s disease (EOAD) and late-onset Alzheimer’s disease (LOAD) features different clinical characteristics. Previous studies has proposed AD as a disconnection syndrome, to some extent, that features a potential decrease in interhemispheric connectivity1. Currently, voxel-mirrored homotopic connectivity (VMHC) is effective in assessing interhemispheric resting-state functional connectivity(RSFC) by quantifying the RSFC in one hemisphere andits mirrored counterpart in the other. Moreover, based on the hypothesis that there is a strong link between structural and functional connectivity, Diffusion indices, including fractional anisotropy (FA), mean diffusivity (MD), axialdiffusivity (AxD) and radial diffusivity (RD), were also used to assess interhemispheric structural connectivity2.

Method

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 youngand 17 old controls). Participants underwent resting-state functional MRI, diffusiontensor imaging (DTI) and comprehensive neuropsychological assessments. We usedvoxel-mirrored homotopic connectivity (VMHC) to examine interhemispheric functionalconnectivity. Then, we calculated the diffusion index based on tract-based spatialstatistics (TBSS). Two-sample t-tests were used to assess the interhemisphericconnectivity differences between each patient group and its corresponding control group.

Results

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(r = -0.67, P < 0.05).

Discussion

In this study, we observed decreased interhemispheric RSFC in the HP, PHG and IPG in the EOAD patients. Moreover, we also found widespread white matter changes in EOAD which had a good location match with VMHC impairments. And these structures are in charge of information encoding and convergence and are tightly associated with declarative memory.Our results extended previous rsfMRI studies that documented impaired functional connectivity in the HP and PHG in EOAD and further found interhemispheric functional connectivity impairments. And further analysis showed the white matter and functional connectivity in parietal region significantly correlates with executive function in EOAD. These results conclusively suggested that severe functional and structural connectivity impairment may be the key mechanism underlying EOAD. On the other hand, LOAD patients have showed relatively intact nterhemispheric functional connectivity which may be a compensatory changes based on the relatively intact white matter fibers. And the hippocampus atrophy but not the functional disconnection may be the main reason of memory loss in LOAD.

Conclusion

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.

Acknowledgements

No acknowledgement found.

References

1. Liu, Y., Yu, C., Zhang, X., Liu, J., Duan, Y., Alexander-Bloch, A. F.,et al. (2014). Impaired long distance functional connectivity and weightednetwork architecture in Alzheimer’s disease. Cereb. Cortex 24, 1422–1435.doi: 10.1093/cercor/bhs410

2.Li, H., Liang, Y., Chen, K., Li, X., Shu, N., Zhang, Z., et al. (2013). Differentpatterns of white matter disruption among amnestic mild cognitive impairmentsubtypes: relationship with neuropsychological performance. J. Alzheimers Dis.36, 365–376. doi: 10.3233/JAD-122023

Figures

Difference in VMHC between patients and controls (EOAD patients vs. young controls; LOAD patients vs. old controls) Comparison of interhemispheric RSFC between patients and controls. A). The EOAD patients showed significantly decreased interhemispheric RSFC in the HP, PHG, STG and IPC. B). The LOAD patients had increased VMHC in the MFG (P<0.001, cluster size>10 voxels, uncorrected). Note: only the left side of the image was displayed due to the symmetric template used in the analysis. VMHC: voxel-mirrored homotopic connectivity; EOAD: early-onset Alzheimer’s disease; LOAD: late-onset Alzheimer’s disease;HP: hippocampus; PHG: parahippocampal gyrus; STG: superior temporal gyrus; IPC: inferior parietal cortex; MFG: medial frontal gyrus

TBSS results of the diffusion indices between the patients and controls (EOAD patients versus young; LOAD patients versus old controls). Green represents the mean white matter skeleton of all subjects. A) Red-yellow voxels represent the white matter regions with reduced FA (first row), increased MD (second row), increased AxD (third row), and increased RD (fourth row) in the EOAD patients compared with the young controls (p < 0.05, corrected). B) Red-yellow voxels represent the white matter regions with increased AxD in the LOAD patients compared with the old controls (p < 0.05, corrected). FA: fractional anisotropy; MD: mean diffusivity; AxD: axial diffusivity; RD: radial diffusivity

Scatter plot diagram of the correlation between executive performance and VMHC/diffusion indices in the EOAD patients. Scatter plot diagram displaying the 95% confidence band of the best-fit line. A) The decreased VMHC of the IPC was negatively correlated with executive function (r = -0.67, P<0.05). B) The increased MD of the CC splenium was positively correlated with executive function (r=0.76, P<0.001). VMHC: voxel-mirrored homotopic connectivity; EOAD: early-onset Alzheimer’s disease; IPC: inferior parietal cortex; MD: mean diffusivity; CC: corpus callosum

Proc. Intl. Soc. Mag. Reson. Med. 27 (2019)
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