Literature DB >> 23512939

Hippocampal networks habituate as novelty accumulates.

Vishnu P Murty1, Ian C Ballard, Katherine E Macduffie, Ruth M Krebs, R Alison Adcock.   

Abstract

Novelty detection, a critical computation within the medial temporal lobe (MTL) memory system, necessarily depends on prior experience. The current study used functional magnetic resonance imaging (fMRI) in humans to investigate dynamic changes in MTL activation and functional connectivity as experience with novelty accumulates. fMRI data were collected during a target detection task: Participants monitored a series of trial-unique novel and familiar scene images to detect a repeating target scene. Even though novel images themselves did not repeat, we found that fMRI activations in the hippocampus and surrounding cortical MTL showed a specific, decrementing response with accumulating exposure to novelty. The significant linear decrement occurred for the novel but not the familiar images, and behavioral measures ruled out a corresponding decline in vigilance. Additionally, early in the series, the hippocampus was inversely coupled with the dorsal striatum, lateral and medial prefrontal cortex, and posterior visual processing regions; this inverse coupling also habituated as novelty accumulated. This novel demonstration of a dynamic adjustment in neural responses to novelty suggests a similarly dynamic allocation of neural resources based on recent experience.

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Year:  2013        PMID: 23512939      PMCID: PMC3604647          DOI: 10.1101/lm.029728.112

Source DB:  PubMed          Journal:  Learn Mem        ISSN: 1072-0502            Impact factor:   2.460


  54 in total

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  15 in total

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5.  VTA and Anterior Hippocampus Target Dissociable Neocortical Networks for Post-Novelty Enhancements.

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7.  Habituation during encoding: A new approach to the evaluation of memory deficits in schizophrenia.

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9.  Stimulus Novelty Energizes Actions in the Absence of Explicit Reward.

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10.  Reward and Novelty Enhance Imagination of Future Events in a Motivational-Episodic Network.

Authors:  Lisa Bulganin; Bianca C Wittmann
Journal:  PLoS One       Date:  2015-11-23       Impact factor: 3.240

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