Detail
Article
Online article
FT
Medvik - BMC
  • Something wrong with this record ?

The intra-session reliability of functional connectivity during naturalistic viewing conditions

J. Hlinka, F. Děchtěrenko, J. Rydlo, R. Androvičová, M. Vejmelka, L. Jajcay, J. Tintěra, J. Lukavský, J. Horáček

. 2022 ; 59 (10) : e14075. [pub] 20220423

Language English Country United States

Document type Journal Article, Research Support, Non-U.S. Gov't

Functional connectivity analysis is a common approach to the characterization of brain function. While studies of functional connectivity have predominantly focused on resting-state fMRI, naturalistic paradigms, such as movie watching, are increasingly being used. This ecologically valid, yet relatively unconstrained acquisition state has been shown to improve subject compliance and, potentially, enhance individual differences. However, unlike the reliability of resting-state functional connectivity, the reliability of functional connectivity during naturalistic viewing has not yet been fully established. The current study investigates the intra-session reliability of functional connectivity during naturalistic viewing sessions to extend its understanding. Using fMRI data of 24 subjects measured at rest as well as during six naturalistic viewing conditions, we quantified the split-half reliability of each condition, as well as cross-condition reliabilities. We find that intra-session reliability is relatively high for all conditions. While cross-condition reliabilities are higher for pairings of two naturalistic viewing conditions, split-half reliability is highest for the resting state. Potential sources of variability across the conditions, as well as the strengths and limitations of using intra-session reliability as a measure in naturalistic viewing, are discussed.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc22024319
003      
CZ-PrNML
005      
20221031101015.0
007      
ta
008      
221017s2022 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1111/psyp.14075 $2 doi
035    __
$a (PubMed)35460523
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Hlinka, Jaroslav $u Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic $u National Institute of Mental Health, Klecany, Czech Republic $1 https://orcid.org/0000000314021470
245    14
$a The intra-session reliability of functional connectivity during naturalistic viewing conditions / $c J. Hlinka, F. Děchtěrenko, J. Rydlo, R. Androvičová, M. Vejmelka, L. Jajcay, J. Tintěra, J. Lukavský, J. Horáček
520    9_
$a Functional connectivity analysis is a common approach to the characterization of brain function. While studies of functional connectivity have predominantly focused on resting-state fMRI, naturalistic paradigms, such as movie watching, are increasingly being used. This ecologically valid, yet relatively unconstrained acquisition state has been shown to improve subject compliance and, potentially, enhance individual differences. However, unlike the reliability of resting-state functional connectivity, the reliability of functional connectivity during naturalistic viewing has not yet been fully established. The current study investigates the intra-session reliability of functional connectivity during naturalistic viewing sessions to extend its understanding. Using fMRI data of 24 subjects measured at rest as well as during six naturalistic viewing conditions, we quantified the split-half reliability of each condition, as well as cross-condition reliabilities. We find that intra-session reliability is relatively high for all conditions. While cross-condition reliabilities are higher for pairings of two naturalistic viewing conditions, split-half reliability is highest for the resting state. Potential sources of variability across the conditions, as well as the strengths and limitations of using intra-session reliability as a measure in naturalistic viewing, are discussed.
650    12
$a mozek $x diagnostické zobrazování $7 D001921
650    _2
$a mapování mozku $7 D001931
650    _2
$a lidé $7 D006801
650    _2
$a individualita $7 D007206
650    12
$a magnetická rezonanční tomografie $7 D008279
650    _2
$a film jako téma $7 D009040
650    _2
$a reprodukovatelnost výsledků $7 D015203
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Děchtěrenko, Filip $u Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic $u Institute of Psychology, Czech Academy of Sciences, Prague, Czech Republic
700    1_
$a Rydlo, Jan $u National Institute of Mental Health, Klecany, Czech Republic $u Institute for Clinical and Experimental Medicine, Prague, Czech Republic
700    1_
$a Androvičová, Renáta $u National Institute of Mental Health, Klecany, Czech Republic
700    1_
$a Vejmelka, Martin $u Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic
700    1_
$a Jajcay, Lucia $u Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic $u National Institute of Mental Health, Klecany, Czech Republic $u Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic
700    1_
$a Tintěra, Jaroslav $u National Institute of Mental Health, Klecany, Czech Republic $u Institute for Clinical and Experimental Medicine, Prague, Czech Republic
700    1_
$a Lukavský, Jiří $u Institute of Psychology, Czech Academy of Sciences, Prague, Czech Republic
700    1_
$a Horáček, Jiří $u National Institute of Mental Health, Klecany, Czech Republic $u Faculty of Medicine, Charles University, Prague, Czech Republic
773    0_
$w MED00003993 $t Psychophysiology $x 1540-5958 $g Roč. 59, č. 10 (2022), s. e14075
856    41
$u https://pubmed.ncbi.nlm.nih.gov/35460523 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20221017 $b ABA008
991    __
$a 20221031101011 $b ABA008
999    __
$a ok $b bmc $g 1854187 $s 1175609
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2022 $b 59 $c 10 $d e14075 $e 20220423 $i 1540-5958 $m Psychophysiology $n Psychophysiology $x MED00003993
LZP    __
$a Pubmed-20221017

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...