Memory-Guided Saccades in Subacute and Chronic Stroke: Secondary Data Analysis of the N-PEP-12 Clinical Study.

eye tracking ischemic stroke neuropsychological assessment

Journal

Biomedicines
ISSN: 2227-9059
Titre abrégé: Biomedicines
Pays: Switzerland
ID NLM: 101691304

Informations de publication

Date de publication:
26 Jul 2024
Historique:
received: 21 06 2024
revised: 17 07 2024
accepted: 25 07 2024
medline: 31 8 2024
pubmed: 31 8 2024
entrez: 29 8 2024
Statut: epublish

Résumé

Ischemic stroke (IS) often leads to cognitive and motor impairments. This study aimed to investigate whether Memory-Guided Saccade Tasks (MGSTs) could be used to assess cognitive function in stroke patients. A secondary data analysis was conducted on 62 individuals with supratentorial IS. Eye-tracking metrics from MGST were correlated with established neuropsychological assessments, including the Montreal Cognitive Assessment (MoCA) and Hospital Anxiety and Depression Scale (HADS). Age correlated negatively with memory-guided saccade (MGS) accuracy (ρ = -0.274) and positively with late errors (ρ = 0.327). Higher Montreal Cognitive Assessment (MoCA) scores were associated with faster corrective saccades (ρ = 0.259). Increased anxiety (HADS-A) and depression (HADS-D) levels correlated with higher early error rates (ρ = 0.325 and ρ = 0.311, respectively). The Color Trails Test and Digit Span test performance also correlated with various MGS parameters. While some correlations were found between cognitive measures and eye-tracking metrics, further research is needed to validate MGST as a tool for cognitive assessment in a more homogenous stroke population.

Sections du résumé

BACKGROUND BACKGROUND
Ischemic stroke (IS) often leads to cognitive and motor impairments. This study aimed to investigate whether Memory-Guided Saccade Tasks (MGSTs) could be used to assess cognitive function in stroke patients.
METHODS METHODS
A secondary data analysis was conducted on 62 individuals with supratentorial IS. Eye-tracking metrics from MGST were correlated with established neuropsychological assessments, including the Montreal Cognitive Assessment (MoCA) and Hospital Anxiety and Depression Scale (HADS).
RESULTS RESULTS
Age correlated negatively with memory-guided saccade (MGS) accuracy (ρ = -0.274) and positively with late errors (ρ = 0.327). Higher Montreal Cognitive Assessment (MoCA) scores were associated with faster corrective saccades (ρ = 0.259). Increased anxiety (HADS-A) and depression (HADS-D) levels correlated with higher early error rates (ρ = 0.325 and ρ = 0.311, respectively). The Color Trails Test and Digit Span test performance also correlated with various MGS parameters.
CONCLUSIONS CONCLUSIONS
While some correlations were found between cognitive measures and eye-tracking metrics, further research is needed to validate MGST as a tool for cognitive assessment in a more homogenous stroke population.

Identifiants

pubmed: 39200143
pii: biomedicines12081678
doi: 10.3390/biomedicines12081678
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Foundation for the Study of Nanoneurosciences and Neuroregeneration
ID : Foundation for the Study of Nanoneurosciences and Neuroregeneration

Auteurs

Emanuel Ștefănescu (E)

Department of Neuroscience, Iuliu Hațieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
RoNeuro Institute for Neurological Research and Diagnostic, 400364 Cluj-Napoca, Romania.

Maria Balea (M)

RoNeuro Institute for Neurological Research and Diagnostic, 400364 Cluj-Napoca, Romania.

Vlad-Florin Chelaru (VF)

Department of Neuroscience, Iuliu Hațieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
RoNeuro Institute for Neurological Research and Diagnostic, 400364 Cluj-Napoca, Romania.

Nicoleta Jemna (N)

Department of Neuroscience, Iuliu Hațieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
RoNeuro Institute for Neurological Research and Diagnostic, 400364 Cluj-Napoca, Romania.

Olivia Verișezan Roșu (O)

Department of Neuroscience, Iuliu Hațieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
RoNeuro Institute for Neurological Research and Diagnostic, 400364 Cluj-Napoca, Romania.

Anamaria Truță (A)

Research Center for Functional Genomics, Biomedicine, and Translational Medicine, Iuliu Hațieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.

Adina Dora Stan (AD)

Department of Neuroscience, Iuliu Hațieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
RoNeuro Institute for Neurological Research and Diagnostic, 400364 Cluj-Napoca, Romania.

Diana Chira (D)

Department of Neuroscience, Iuliu Hațieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
RoNeuro Institute for Neurological Research and Diagnostic, 400364 Cluj-Napoca, Romania.

Ștefan Strilciuc (Ș)

RoNeuro Institute for Neurological Research and Diagnostic, 400364 Cluj-Napoca, Romania.
Research Center for Functional Genomics, Biomedicine, and Translational Medicine, Iuliu Hațieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.

Dafin Mureșanu (D)

Department of Neuroscience, Iuliu Hațieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
RoNeuro Institute for Neurological Research and Diagnostic, 400364 Cluj-Napoca, Romania.

Classifications MeSH