Catechol-O

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• 作者：Fabio Sambataro ; Jeff D. Reed ; Vishnu P. Murty ; Saumitra Das ; Hao Yang Tan ; Joseph H. Callicott ; Daniel R. Weinberger ; Venkata S. Mattay
• 关键词：Aging ; COMT ; functional magnetic resonance imaging ; independent component analysis ; working memory
• 刊名：Biological Psychiatry
• 出版年：2009
• 出版时间：15 September 2009
• 年：2009
• 卷：66
• 期：6
• 页码：540-548
• 全文大小：1128 K

文摘

Background

Cognitive abilities decline with age with large individual variability. Genetic variations have been suggested to be an important source for some of this heterogeneity. Among these variations, those related to the dopaminergic system, particularly the valine¹⁵⁸methionine polymorphism in catechol-O-methyltransferase (COMTval¹⁵⁸met), have been implicated in modulating age-related changes in executive function.

Methods

We studied 75 subjects (age 21–90 years) using functional neuroimaging while they performed a low-level working memory (WM) task to explore the effects of aging, of the COMTval¹⁵⁸met polymorphism, and their interactions on the physiological patterns of interconnected cortical activity engaged by WM.

Results

Our results show that val homozygotes and older subjects showed increased activity in dorsolateral prefrontal cortex (DLPFC) and decreased activity in ventrolateral prefrontal cortex (VLPFC) relative to met homozygotes and younger subjects, respectively. Interestingly, there were also independent effects of the COMTval¹⁵⁸met polymorphism and age on the strength of connectivity between brain regions within the left prefrontal-parietal network; val homozygotes and older subjects showed greater connectivity between the DLPFC and other brain regions within the network and met homozygotes showed greater connectivity between the VLPFC and other brain regions within the network. Furthermore, the greater functional connectivity strength of DLPFC in val homozygotes relative to met homozygotes was much more pronounced in older adults

Conclusions

Our findings suggest that the COMTval¹⁵⁸met polymorphism modulates both the activity and functional connectivity of brain regions within WM networks and most importantly that this effect is exaggerated with increasing age, contributing to the variability in age-related decline in executive cognition.