Literature DB >> 29204866

Tracking working memory maintenance with pupillometry.

Nash Unsworth1, Matthew K Robison2.   

Abstract

Phasic pupillary responses were used to track the active maintenance of information in working memory (WM). In seven experiments participants performed various change detection tasks while their pupils were continuously recorded. Across the experiments phasic pupillary responses increased as the number of maintained items increased up to around 4-5 items consistent with behavioral estimates of capacity. Combining data across experiments demonstrated that phasic pupillary responses were related to behavioral estimates of capacity. Furthermore, phasic pupillary responses demonstrated WM load-dependent relations only when active maintenance was required. When instructed to passively stare at the items or to drop items from WM, the pupil remained near baseline levels. These phasic pupillary responses also tracked the time course of maintenance demonstrating sustained responses early in the delay period, but declined thereafter. Finally, phasic pupillary responses tracked selection processes at encoding (filtering and pre-cues), but did not suggest evidence for item removal following retro-cues. These results are consistent with the notion that maintaining items in WM requires the allocation of effortful attention and further suggest that phasic pupillary responses can be used to track the active maintenance of items in WM.

Entities:  

Keywords:  Working memory

Mesh:

Year:  2018        PMID: 29204866     DOI: 10.3758/s13414-017-1455-x

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  4 in total

Review 1.  Pupil dilation as an index of effort in cognitive control tasks: A review.

Authors:  Pauline van der Wel; Henk van Steenbergen
Journal:  Psychon Bull Rev       Date:  2018-12

2.  Cortical modulation of pupillary function: systematic review.

Authors:  Costanza Peinkhofer; Daniel Kondziella; Gitte M Knudsen; Rita Moretti
Journal:  PeerJ       Date:  2019-05-07       Impact factor: 2.984

3.  Pupillometry tracks cognitive load and salience network activity in a working memory functional magnetic resonance imaging task.

Authors:  Julia Fietz; Dorothee Pöhlchen; Florian P Binder; Michael Czisch; Philipp G Sämann; Victor I Spoormaker
Journal:  Hum Brain Mapp       Date:  2021-10-08       Impact factor: 5.038

4.  The Sternberg Paradigm: Correcting Encoding Latencies in Visual and Auditory Test Designs.

Authors:  Julian Klabes; Sebastian Babilon; Babak Zandi; Tran Quoc Khanh
Journal:  Vision (Basel)       Date:  2021-05-04
  4 in total

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