edoc

Recognition memory performance can be estimated based on brain activation networks

Petrovska, Jana and Loos, Eva and Coynel, David and Egli, Tobias and Papassotiropoulos, Andreas and de Quervain, Dominique J.-F. and Milnik, Annette. (2021) Recognition memory performance can be estimated based on brain activation networks. Behavioural Brain Research, 408. p. 113285.

[img]
Preview
PDF - Published Version
Available under License CC BY-NC-ND (Attribution-NonCommercial-NoDerivatives).

4Mb

Official URL: https://edoc.unibas.ch/85898/

Downloads: Statistics Overview

Abstract

Recognition memory is an essential ability for functioning in everyday life. Establishing robust brain networks linked to recognition memory performance can help to understand the neural basis of recognition memory itself and the interindividual differences in recognition memory performance.; We analysed behavioural and whole-brain fMRI data from 1'410 healthy young adults during the testing phase of a picture-recognition task. Using independent component analysis (ICA), we decomposed the fMRI contrast for previously seen vs. new (old-new) pictures into networks of brain activity. This was done in two independent samples (training sample: N = 645, replication sample: N = 665). Next, we investigated the relationship between the identified brain networks and interindividual differences in recognition memory performance by conducting a prediction analysis. We estimated the prediction accuracy in a third independent sample (test sample: N = 100).; We identified 12 robust and replicable brain networks using two independent samples. Based on the activity of those networks we could successfully estimate interindividual differences in recognition memory performance with high accuracy in a third independent sample (r = 0.5, p = 1.29 × 10; -07; ).; Given the robustness of the ICA decomposition as well as the high prediction estimate, the identified brain networks may be considered as potential biomarkers of recognition memory performance in healthy young adults and can be further investigated in the context of health and disease.
Faculties and Departments:03 Faculty of Medicine > Bereich Psychiatrie (Klinik) > Erwachsenenpsychiatrie UPK > Molekulare Neurowissenschaften (Papassotiropoulos)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Psychiatrie (Klinik) > Erwachsenenpsychiatrie UPK > Molekulare Neurowissenschaften (Papassotiropoulos)
05 Faculty of Science > Departement Biozentrum > Services Biozentrum > Life Sciences Training Facility (Papassotiropoulos)
07 Faculty of Psychology > Departement Psychologie > Forschungsbereich Klinische Psychologie und Neurowissenschaften > Molecular Neuroscience (Papassotiropoulos)
UniBasel Contributors:Papassotiropoulos, Andreas
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
ISSN:0166-4328
e-ISSN:1872-7549
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
Identification Number:
edoc DOI:
Last Modified:02 Feb 2022 16:10
Deposited On:02 Feb 2022 16:10

Repository Staff Only: item control page