Altered Connectivity of Task Related Functional Networks in Healthy Aging

Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

ICBME20_065

تاریخ نمایه سازی: 25 فروردین 1394

Abstract:

Although the cognitive deficits due to age-related brain differences have been largely analyzed, the altered connectivity of task related functional networks in aging requires more studies. As the brain of old adults experience some alterations in task performance during cognitive challenges, the related effects on connectivity of functional networks are here evaluated using event-related functional Magnetic Resonance Imaging (fMRI). The fMRI data have been acquired for simple visual and motor tasks from 18 subjects (8 young and 10 elderly). For each subject, several Functional Connectivity (FC) networks including, motor, visual and the default mode networks are firstly calculated using a conventional voxel-wise correlation analysis with predefined region of interest. Then, the strength of functional connectivity is assessed and compared for different age groups. The current study has evaluated three hypotheses on FC of aging brain: the frontal regions involved with motor network try to compensate for declines in the posterior regions, default-mode network are less suppressed and, the posterior regions involved with visual network exhibit less connectivity. The first two hypotheses are accepted by analysis results but visual network behaves differently. Also, results show that the task related functional connectivity is considerably altered in old adults compared to young adults. Old adults demonstrate higher connectivity strength on average with a slightly smaller variance than young adults.

Authors

Somayeh Maleki-Balajoo

Faculty of Electrical Engineering, K.N.Toosi University of Technology,Tehran, Iran

Davud Asemani

Faculty of Electrical Engineering, K.N.Toosi University of Technology,Tehran, Iran

Hamid Soltanian-Zadeh

CIPCE, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran.Image Analysis Laboratory, Henry Ford Health System, Detroit, Michigan, USA