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Whole-Brain Task-Based BOLD Anatomical Patterns Hypothesized for the Sternberg Item Recognition Paradigm and their Task-Induced BOLD Changes

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Le résumé fourni par la source

Background: Functional magnetic resonance imaging (fMRI) investigations of manipulating information over the short term (working memory; WM) using the Sternberg delayed recognition/delayed recall task have arguably been one of the most active areas of cognitive neuroscience research for several decades. Drawing on a series of fMRI studies spanning 20 years, we have developed an anatomical and temporal account of five task-based brain networks involved in the Sternberg task and how their task-induced blood-oxygen-level-dependent (BOLD) changes are hypothesized to respond to experimental manipulations. Task: The Sternberg Item Recognition Paradigm (SIRP) task put forward for this set of hypotheses involves a string of four or six upper-case consonants being displayed for four seconds, followed by a four-second or zero-second delay. A single probe letter is then shown for two seconds. Participants are asked to respond "yes" or "no" to whether the probe letter presented had been a part of the first string of letters, using a button press with their right hand, with index finger press indicating "yes" and middle finger "no." A fixation cross can be displayed throughout the inter-trial intervals, and to minimize the disparities in basic visual perception between the 4- and 6-letter conditions, pound signs ("#") are included on each end of the 4-letter strings.Hypotheses (anatomical): The hypothesized networks for the Sternberg task can be described as the WM Big 5: Response (RESP), Focus on Visual Features (FoVF), Initiation (INIT), Maintaining Internal Attention (MAIN), and Default Mode Network (DMN). The detailed anatomical depictions of these networks are provided in Tables 1-5.Hypotheses (temporal): Broadly speaking, RESP is expected to peak latest in the trial, and to deactivate mid-trial for long delays. FoVF is expected to deactivate at particular points during the trial. INIT is predicted to be the earliest-peaking network, with a higher peak for the high-load condition. MAIN is expected to peak mid-trial, with a higher peak for the high-load condition, and to initiate activation early-to-mid-trial. The DMN is expected to be mid-trial peaking and show load-dependent deactivation, with the initiation of deactivation coinciding with the trial start. Details are presented in the text, tables and figures below.Conclusions: These anatomical and temporal hypotheses for the WM Big 5 are expected to be upheld over versions of SIRP tasks and samples. However, these networks are also part of a set of networks that are observed across many tasks (zenodo.org/record/4624418), so their functions are not SIRP-specific. Task-general fMRI networks can simplify fMRI investigations, allowing the merging of task fMRI data across multiple sites and SIRP task versions, or even different tasks assessing a range of cognitive domains.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Whole-Brain Task-Based BOLD Anatomical Patterns Hypothesized for the Sternberg Item Recognition Paradigm and their Task-Induced BOLD Changes
Date Crossref
11/01/2024
Éditeur
Center for Open Science
Type
posted-content

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Où se fait cette recherche

  • University of British Columbia Department of Psychiatry pays non établi dans la notice
    Université ou école supérieure
  • BC Mental Health & Substance Use Services pays non établi dans la notice
    Établissement de santé
  • BC Mental Health and Substance Use Services pays non établi dans la notice
    Institution
  • Faculty of Science pays non établi dans la notice
    Université ou école supérieure

Department of Psychiatry — University of British Columbia, BC Mental Health & Substance Use Services et BC Mental Health and Substance Use Services, avec 1 autre affiliation.

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Functional Brain Connectivity StudiesEEG and Brain-Computer Interfaces

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