Literature DB >> 25313659

Reinstatement of individual past events revealed by the similarity of distributed activation patterns during encoding and retrieval.

Erik A Wing1, Maureen Ritchey, Roberto Cabeza.   

Abstract

Neurobiological memory models assume memory traces are stored in neocortex, with pointers in the hippocampus, and are then reactivated during retrieval, yielding the experience of remembering. Whereas most prior neuroimaging studies on reactivation have focused on the reactivation of sets or categories of items, the current study sought to identify cortical patterns pertaining to memory for individual scenes. During encoding, participants viewed pictures of scenes paired with matching labels (e.g., "barn," "tunnel"), and, during retrieval, they recalled the scenes in response to the labels and rated the quality of their visual memories. Using representational similarity analyses, we interrogated the similarity between activation patterns during encoding and retrieval both at the item level (individual scenes) and the set level (all scenes). The study yielded four main findings. First, in occipitotemporal cortex, memory success increased with encoding-retrieval similarity (ERS) at the item level but not at the set level, indicating the reactivation of individual scenes. Second, in ventrolateral pFC, memory increased with ERS for both item and set levels, indicating the recapitulation of memory processes that benefit encoding and retrieval of all scenes. Third, in retrosplenial/posterior cingulate cortex, ERS was sensitive to individual scene information irrespective of memory success, suggesting automatic activation of scene contexts. Finally, consistent with neurobiological models, hippocampal activity during encoding predicted the subsequent reactivation of individual items. These findings show the promise of studying memory with greater specificity by isolating individual mnemonic representations and determining their relationship to factors like the detail with which past events are remembered.

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Year:  2014        PMID: 25313659      PMCID: PMC4376373          DOI: 10.1162/jocn_a_00740

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  51 in total

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Review 2.  Left ventrolateral prefrontal cortex and the cognitive control of memory.

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Authors:  Julia Spaniol; Patrick S R Davidson; Alice S N Kim; Hua Han; Morris Moscovitch; Cheryl L Grady
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5.  What do differences between multi-voxel and univariate analysis mean? How subject-, voxel-, and trial-level variance impact fMRI analysis.

Authors:  Tyler Davis; Karen F LaRocque; Jeanette A Mumford; Kenneth A Norman; Anthony D Wagner; Russell A Poldrack
Journal:  Neuroimage       Date:  2014-04-21       Impact factor: 6.556

6.  Cortical analysis of visual context.

Authors:  Moshe Bar; Elissa Aminoff
Journal:  Neuron       Date:  2003-04-24       Impact factor: 17.173

Review 7.  Parahippocampal and retrosplenial contributions to human spatial navigation.

Authors:  Russell A Epstein
Journal:  Trends Cogn Sci       Date:  2008-08-28       Impact factor: 20.229

8.  Different roles of the parahippocampal place area (PPA) and retrosplenial cortex (RSC) in panoramic scene perception.

Authors:  Soojin Park; Marvin M Chun
Journal:  Neuroimage       Date:  2009-05-04       Impact factor: 6.556

9.  Natural scene statistics account for the representation of scene categories in human visual cortex.

Authors:  Dustin E Stansbury; Thomas Naselaris; Jack L Gallant
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10.  Conceptual object representations in human anterior temporal cortex.

Authors:  Marius V Peelen; Alfonso Caramazza
Journal:  J Neurosci       Date:  2012-11-07       Impact factor: 6.167

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  42 in total

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Journal:  Neuron       Date:  2017-08-02       Impact factor: 17.173

2.  The influence of low-level stimulus features on the representation of contexts, items, and their mnemonic associations.

Authors:  Derek J Huffman; Craig E L Stark
Journal:  Neuroimage       Date:  2017-04-08       Impact factor: 6.556

3.  Retrieval of high-fidelity memory arises from distributed cortical networks.

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Journal:  Neuroimage       Date:  2017-01-31       Impact factor: 6.556

4.  Decoding the content of recollection within the core recollection network and beyond.

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Journal:  Cortex       Date:  2016-12-22       Impact factor: 4.027

5.  Similarities and differences in the default mode network across rest, retrieval, and future imagining.

Authors:  B Bellana; Z-X Liu; N B Diamond; C L Grady; M Moscovitch
Journal:  Hum Brain Mapp       Date:  2016-10-24       Impact factor: 5.038

6.  Selective Modulation of Early Visual Cortical Activity by Movement Intention.

Authors:  Jason P Gallivan; Craig S Chapman; Daniel J Gale; J Randall Flanagan; Jody C Culham
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

Review 7.  Ventral lateral parietal cortex and episodic memory retrieval.

Authors:  Michael D Rugg; Danielle R King
Journal:  Cortex       Date:  2017-07-25       Impact factor: 4.027

8.  Tracking competition and cognitive control during language comprehension with multi-voxel pattern analysis.

Authors:  Elizabeth Musz; Sharon L Thompson-Schill
Journal:  Brain Lang       Date:  2016-11-27       Impact factor: 2.381

Review 9.  NEVER forget: negative emotional valence enhances recapitulation.

Authors:  Holly J Bowen; Sarah M Kark; Elizabeth A Kensinger
Journal:  Psychon Bull Rev       Date:  2018-06

10.  High-resolution investigation of memory-specific reinstatement in the hippocampus and perirhinal cortex.

Authors:  Alexa Tompary; Katherine Duncan; Lila Davachi
Journal:  Hippocampus       Date:  2016-04-04       Impact factor: 3.899

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