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Subcortical connectivity in dementia with Lewy bodies and Alzheimer's disease

Published online by Cambridge University Press:  02 January 2018

Eva R. Kenny
Affiliation:
Newcastle Magnetic Resonance Centre and Institute for Ageing and Health, Newcastle University, Wolfson Research Centre, Campus for Ageing and Vitality, Newcastle upon Tyne
John T. O'Brien
Affiliation:
Institute for Ageing and Health, Newcastle University, Wolfson Research Centre, Campus for Ageing and Vitality, Newcastle upon Tyne
Michael J. Firbank
Affiliation:
Institute for Ageing and Health, Newcastle University, Wolfson Research Centre, Campus for Ageing and Vitality, Newcastle upon Tyne
Andrew M. Blamire
Affiliation:
Institute for Cellular Medicine and Newcastle Magnetic Resonance Centre, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, UK
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Abstract

Background

Resting-state functional magnetic resonance imaging (fMRI) can be used to measure correlations in spontaneous low-frequency fluctuations in the blood oxygen level-dependent (BOLD) signal which represent functional connectivity between key brain areas.

Aims

To investigate functional connectivity with regions hypothesised to be differentially affected in dementia with Lewy bodies (DLB) compared with Alzheimer's disease and controls.

Method

Fifteen participants with probable DLB, 16 with probable Alzheimer's disease and 16 controls were scanned in the resting-state using a 3T scanner. The BOLD signal time-series of fluctuations in seed regions were correlated with all other voxels to measure functional connectivity.

Results

Participants with DLB and Alzheimer's disease showed greater caudate and thalamic connectivity compared with controls. Those with DLB showed greater putamen connectivity compared with those with Alzheimer's disease and the controls. No regions showed less connectivity in DLB or Alzheimer's disease v. controls, or in DLB v. Alzheimer's disease.

Conclusions

Altered connectivity in DLB and Alzheimer's disease provides new insights into the neurobiology of these disorders and may aid in earlier diagnosis.

Information

Type
Papers
Copyright
Copyright © Royal College of Psychiatrists, 2013 
Figure 0

Table 1 Demographic and neuropsychological data of participants

Supplementary material: PDF

Kenny et al. supplementary material

Supplementary Figure S1-S3

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Supplementary material: PDF

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Supplementary Table S1-S3

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