Literature DB >> 12498962

Age-related differences in brain activation during emotional face processing.

Faith M Gunning-Dixon1, Ruben C Gur, Alexis C Perkins, Lee Schroeder, Travis Turner, Bruce I Turetsky, Robin M Chan, James W Loughead, David C Alsop, Joseph Maldjian, Raquel E Gur.   

Abstract

Advancing age is associated with significant declines on neurobehavioral tasks that demand substantial mental effort. Functional imaging studies of mental abilities indicate that older adults faced with cognitive challenges tend to activate more regions, particularly frontal, than their younger counterparts, and that this recruitment of additional regions may reflect an attempt to compensate for inefficiency in cortical networks. The neural basis of emotion processing in aging has received little attention, and the goal of the present study was to use functional magnetic resonance imaging (fMRI) to examine the influence of age on facial emotion processing and activation in cortical and limbic regions. Participants (eight old and eight young adults) viewed facial displays of happiness, sadness, anger, fear, disgust, and neutrality in alternating blocks of emotion and age discrimination. We predicted that in response to an emotion discrimination task, older adults would demonstrate increased use of frontal regions relative to younger adults, perhaps combined with diminished use of regions recruited by younger adults, such as temporo-limbic regions. During the emotion discrimination task, young participants activated, visual, frontal and limbic regions, whereas older participants activated parietal, temporal and frontal regions. A direct comparison between emotion and age discrimination revealed that while younger adults activated the amygdala and surrounding temporo-limbic regions, older adults activated left frontal regions. The results of this study suggest that older adults may rely on different cortical networks to perceive emotional facial expressions than do their younger counterparts.

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Mesh:

Year:  2003        PMID: 12498962     DOI: 10.1016/s0197-4580(02)00099-4

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  75 in total

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8.  Amygdala network dysfunction in late-life depression phenotypes: Relationships with symptom dimensions.

Authors:  Wenjun Li; B Douglas Ward; Chunming Xie; Jennifer L Jones; Piero G Antuono; Shi-Jiang Li; Joseph S Goveas
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9.  Effects of aging on functional connectivity of the amygdala during negative evaluation: a network analysis of fMRI data.

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Journal:  Neurobiol Aging       Date:  2010-02       Impact factor: 4.673

10.  Age-related differences in working memory deficits during nicotine withdrawal.

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