Difference of audiovisual integration between Alzheimer's Disease patients and age-matched healthy controls: An fMRI study

Lu Yang, Jiajia Yang, Naoya Nakamura, Jinglong Wu, Seiichiro Ohno, Tomoko Kurata, Koji Abe, Susumu Kanazawa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Alzheimer's Disease (AD) is the most common and destructive neurodegenerative disorder threatening old people. As a non-invasive way to assess brain function, the fMRI technique can be used to detect how the brain activity pattern of AD patients differ from that of age-matched elder controls (EC). We compared the brain activity pattern of AD and EC under three conditions: unimodal auditory stimuli, unimodal visual stimuli and bimodal audiovisual stimuli. It was found that patients with AD exhibit a more extensive but relatively weaker response than EC, and in every type of stimuli, the activated brain areas are dissimilar with EC. The limbic lobe of AD patients is universally silent while the hippocampal areas in EC are active. Moreover, compared with EC, AD patients show fewer activated regions for audiovisual integration, indicating impaired multisensory information processing and cognitive integration. The findings imply that fMRI can help with the diagnosis of AD even in the early stage.

Original languageEnglish
Title of host publication2013 ICME International Conference on Complex Medical Engineering, CME 2013
Pages19-24
Number of pages6
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 7th ICME International Conference on Complex Medical Engineering, CME 2013 - Beijing, China
Duration: 25 May 201328 May 2013

Publication series

Name2013 ICME International Conference on Complex Medical Engineering, CME 2013

Conference

Conference2013 7th ICME International Conference on Complex Medical Engineering, CME 2013
Country/TerritoryChina
CityBeijing
Period25/05/1328/05/13

Keywords

  • Alzheimer's Disease Functional Magnetic Resonance Imaging Audiovisual Integration

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