Evidence map›Paper›PMID 37662268›Full record

ArticlebioRxiv : the preprint server for biology2024

Individual differences in spatial working memory strategies differentially reflected in the engagement of control and default brain networks.

Nina Purg Suljic, Aleksij Kraljic, Masih Rahmati, Youngsun T Cho, Anka Slana Ozimic, John D Murray, Alan Anticevic, Grega Repovs

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Funding

Translational Technologies CoreP50AA012870 · NIAAA · YALE UNIVERSITY · PI John H. Krystal · 2001 to 2026
$43.7M
A Translational and Neurocomputational Evaluation of a D1R Partial Agonist for SchizophreniaU01MH121766 · NIMH · YALE UNIVERSITY · PI KRYSTAL, JOHN H. · 2019 to 2022
$11.8M
Characterizing Schizophrenia Progression via Multi-modal Neuroimaging and ComputationR01MH108590 · NIMH · YALE UNIVERSITY · PI ANTICEVIC, ALAN · 2016 to 2020
$2.0M
Characterizing Cognitive Impairment in Schizophrenia via Computational Modeling aDP5OD012109 · OD · YALE UNIVERSITY · PI ANTICEVIC, ALAN · 2012 to 2016
$1.8M
Examining Longitudinal Cognitive-Motivational Interactions in Adolescents with DepressionK23MH121778 · NIMH · YALE UNIVERSITY · PI CHO, YOUNGSUN T · 2020 to 2024
$975k
Mapping the Longitudinal Neurobiology of Early-course SchizophreniaR01MH112189 · NIMH · YALE UNIVERSITY · PI ANTICEVIC, ALAN · 2017 to 2021
$939k
NIAAA NIH HHS P50 AA012870NIH HHS DP5 OD012109NIMH NIH HHS K23 MH121778NIMH NIH HHS R01 MH108590NIMH NIH HHS R01 MH112189NIMH NIH HHS U01 MH121766
6 · The paper itself

Abstract

Spatial locations can be encoded and maintained in working memory using different representations and strategies. Fine-grained representations provide detailed stimulus information, but are cognitively demanding and prone to inexactness. The uncertainty in fine-grained representations can be compensated by the use of coarse, but robust categorical representations. In this study, we employed an individual differences approach to identify brain activity correlates of the use of fine-grained and categorical representations in spatial working memory. We combined data from six fMRI studies, resulting in a sample of 155 (77 women, 25 ± 5 years) healthy participants performing a spatial working memory task. Our results showed that individual differences in the use of spatial representations in working memory were associated with distinct patterns of brain activity. Higher precision of fine-grained representations was related to greater engagement of attentional and control brain systems throughout the task trial, and the stronger deactivation of the default network at the time of stimulus encoding. In contrast, the use of categorical representations was associated with lower default network activity during encoding and higher frontoparietal network activation during maintenance. These results may indicate a greater need for attentional resources and protection against interference for fine-grained compared to categorical representations.

Identifiers

PMID37662268
PMCPMC10473605

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.