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

The Gaze of Schizophrenia Patients Captured by Bottom-up Saliency

P. Adámek, D. Grygarová, L. Jajcay, E. Bakštein, P. Fürstová, V. Juríčková, J. Jonáš, V. Langová, I. Neskoroďana, L. Kesner, J. Horáček

. 2024 ; 10 (1) : 21. [pub] 20240220

Status not-indexed Language English Country Germany

Document type Journal Article

Persistent link   https://www.medvik.cz/link/bmc24005749

Grant support
1313820 Grantová Agentura, Univerzita Karlova (Charles University Grant Agency)
1070119 Grantová Agentura, Univerzita Karlova (Charles University Grant Agency)
NU21-04-00405 Agentura Pro Zdravotnický Výzkum České Republiky (Czech Health Research Council)

Schizophrenia (SCHZ) notably impacts various human perceptual modalities, including vision. Prior research has identified marked abnormalities in perceptual organization in SCHZ, predominantly attributed to deficits in bottom-up processing. Our study introduces a novel paradigm to differentiate the roles of top-down and bottom-up processes in visual perception in SCHZ. We analysed eye-tracking fixation ground truth maps from 28 SCHZ patients and 25 healthy controls (HC), comparing these with two mathematical models of visual saliency: one bottom-up, based on the physical attributes of images, and the other top-down, incorporating machine learning. While the bottom-up (GBVS) model revealed no significant overall differences between groups (beta = 0.01, p = 0.281, with a marginal increase in SCHZ patients), it did show enhanced performance by SCHZ patients with highly salient images. Conversely, the top-down (EML-Net) model indicated no general group difference (beta = -0.03, p = 0.206, lower in SCHZ patients) but highlighted significantly reduced performance in SCHZ patients for images depicting social interactions (beta = -0.06, p < 0.001). Over time, the disparity between the groups diminished for both models. The previously reported bottom-up bias in SCHZ patients was apparent only during the initial stages of visual exploration and corresponded with progressively shorter fixation durations in this group. Our research proposes an innovative approach to understanding early visual information processing in SCHZ patients, shedding light on the interplay between bottom-up perception and top-down cognition.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc24005749
003      
CZ-PrNML
005      
20251002115203.0
007      
ta
008      
240405s2024 gw f 000 0|eng||
009      
AR
024    7_
$a 10.1038/s41537-024-00438-4 $2 doi
035    __
$a (PubMed)38378724
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a gw
100    1_
$a Adámek, Petr $u Center for Advanced Studies of Brain and Consciousness, National Institute of Mental Health, Klecany, Czech Republic. petr.adamek@nudz.cz $u Third Faculty of Medicine, Charles University, Prague, Czech Republic. petr.adamek@nudz.cz $1 https://orcid.org/0000000277870755 $7 av2016935679
245    14
$a The Gaze of Schizophrenia Patients Captured by Bottom-up Saliency / $c P. Adámek, D. Grygarová, L. Jajcay, E. Bakštein, P. Fürstová, V. Juríčková, J. Jonáš, V. Langová, I. Neskoroďana, L. Kesner, J. Horáček
520    9_
$a Schizophrenia (SCHZ) notably impacts various human perceptual modalities, including vision. Prior research has identified marked abnormalities in perceptual organization in SCHZ, predominantly attributed to deficits in bottom-up processing. Our study introduces a novel paradigm to differentiate the roles of top-down and bottom-up processes in visual perception in SCHZ. We analysed eye-tracking fixation ground truth maps from 28 SCHZ patients and 25 healthy controls (HC), comparing these with two mathematical models of visual saliency: one bottom-up, based on the physical attributes of images, and the other top-down, incorporating machine learning. While the bottom-up (GBVS) model revealed no significant overall differences between groups (beta = 0.01, p = 0.281, with a marginal increase in SCHZ patients), it did show enhanced performance by SCHZ patients with highly salient images. Conversely, the top-down (EML-Net) model indicated no general group difference (beta = -0.03, p = 0.206, lower in SCHZ patients) but highlighted significantly reduced performance in SCHZ patients for images depicting social interactions (beta = -0.06, p < 0.001). Over time, the disparity between the groups diminished for both models. The previously reported bottom-up bias in SCHZ patients was apparent only during the initial stages of visual exploration and corresponded with progressively shorter fixation durations in this group. Our research proposes an innovative approach to understanding early visual information processing in SCHZ patients, shedding light on the interplay between bottom-up perception and top-down cognition.
590    __
$a NEINDEXOVÁNO
655    _2
$a časopisecké články $7 D016428
700    1_
$a Grygarová, Dominika, $d 1985- $u Center for Advanced Studies of Brain and Consciousness, National Institute of Mental Health, Klecany, Czech Republic $u Third Faculty of Medicine, Charles University, Prague, Czech Republic $7 jo2016898626
700    1_
$a Jajcay, Lucia $u Center for Advanced Studies of Brain and Consciousness, National Institute of Mental Health, Klecany, Czech Republic $u Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic $u Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
700    1_
$a Bakštein, Eduard $u Early Episodes of SMI Research Center, National Institute of Mental Health, Klecany, Czech Republic $u Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic
700    1_
$a Fürstová, Petra $u Early Episodes of SMI Research Center, National Institute of Mental Health, Klecany, Czech Republic
700    1_
$a Juríčková, Veronika $u Center for Advanced Studies of Brain and Consciousness, National Institute of Mental Health, Klecany, Czech Republic $u First Faculty of Medicine, Charles University, Prague, Czech Republic $1 https://orcid.org/0000000166189799
700    1_
$a Jonáš, Juraj $u Center for Advanced Studies of Brain and Consciousness, National Institute of Mental Health, Klecany, Czech Republic $u Faculty of Humanities, Charles University, Prague, Czech Republic
700    1_
$a Langová, Veronika $u Center for Advanced Studies of Brain and Consciousness, National Institute of Mental Health, Klecany, Czech Republic $u Third Faculty of Medicine, Charles University, Prague, Czech Republic
700    1_
$a Neskoroďana, Iryna $u Center for Advanced Studies of Brain and Consciousness, National Institute of Mental Health, Klecany, Czech Republic
700    1_
$a Kesner, Ladislav, $d 1961- $u Center for Advanced Studies of Brain and Consciousness, National Institute of Mental Health, Klecany, Czech Republic $u Department of Art History, Masaryk University, Brno, Czech Republic $7 jn20001227201
700    1_
$a Horáček, Jiří $u Center for Advanced Studies of Brain and Consciousness, National Institute of Mental Health, Klecany, Czech Republic $u Third Faculty of Medicine, Charles University, Prague, Czech Republic $1 https://orcid.org/0000000301147306 $7 jo2002152353
773    0_
$w MED00213976 $t Schizophrenia $x 2754-6993 $g Roč. 10, č. 1 (2024), s. 21
856    41
$u https://pubmed.ncbi.nlm.nih.gov/38378724 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20240405 $b ABA008
991    __
$a 20251002115149 $b ABA008
999    __
$a ok $b bmc $g 2076013 $s 1215511
BAS    __
$a 3
BAS    __
$a PreBMC-PubMed-not-MEDLINE
BMC    __
$a 2024 $b 10 $c 1 $d 21 $e 20240220 $i 2754-6993 $m Schizophrenia $n Schizophrenia (Heidelb) $x MED00213976
GRA    __
$a 1313820 $p Grantová Agentura, Univerzita Karlova (Charles University Grant Agency)
GRA    __
$a 1070119 $p Grantová Agentura, Univerzita Karlova (Charles University Grant Agency)
GRA    __
$a NU21-04-00405 $p Agentura Pro Zdravotnický Výzkum České Republiky (Czech Health Research Council)
LZP    __
$a Pubmed-20240405

Find record

Citation metrics

Archiving options