V
Vishnu P. Murty
Researcher at Temple University
Publications - 87
Citations - 3832
Vishnu P. Murty is an academic researcher from Temple University. The author has contributed to research in topics: Medicine & Episodic memory. The author has an hindex of 27, co-authored 69 publications receiving 3000 citations. Previous affiliations of Vishnu P. Murty include University of Pittsburgh & New York University.
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Journal ArticleDOI
Age-related alterations in default mode network: Impact on working memory performance
Fabio Sambataro,Vishnu P. Murty,Joseph H. Callicott,Hao Yang Tan,Saumitra Das,Daniel R. Weinberger,Venkata S. Mattay +6 more
TL;DR: Functional magnetic resonance imaging results show that in addition to changes in canonical task-related brain regions, normal aging is also associated with alterations in the activity and connectivity of brain regions within the DMN.
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fMRI studies of successful emotional memory encoding: A quantitative meta-analysis
TL;DR: It is proposed that the amygdala interacts with these structures to promote enhancements in perceptual processing, semantic elaboration, and attention, which serve to benefit subsequent memory for emotional material.
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Dorsolateral Prefrontal Cortex Drives Mesolimbic Dopaminergic Regions to Initiate Motivated Behavior
TL;DR: The findings of a directional prefrontal influence on dopaminergic regions during reward anticipation suggest a model in which the dlPFC integrates and transmits representations of reward to the mesolimbic and mesocortical dopamine systems, thereby initiating motivated behavior.
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Emotional learning selectively and retroactively strengthens memories for related events
TL;DR: These findings provide new evidence for a generalized retroactive memory enhancement, whereby inconsequential information can be retroactively credited as relevant, and therefore selectively remembered, if conceptually related information acquires salience in the future.
fMRI studies of successful emotional memory encoding: A quantitative
TL;DR: In this paper, the authors employed a meta-analytic approach using activation likelihood estimates to assess the anatomical specificity and reliability of event-related fMRI activations related to successful memory encoding for emotional versus neutral information.