dc.contributor.author
Werrmann, Michelle
dc.contributor.author
Gür-Tok, Yesim
dc.contributor.author
Eid, Michael
dc.contributor.author
Niedeggen, Michael
dc.date.accessioned
2025-02-04T07:33:38Z
dc.date.available
2025-02-04T07:33:38Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/46466
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-46179
dc.description.abstract
Neuropsychological assessment has to consider the subjective and objective functional deficits of help-seeking individuals in several cognitive domains. Due to time constraints in clinical practice, several web-based approaches have been developed. The current study examined whether functional deficits in the mnestic and attentive domain can be predicted based on an unsupervised self-administered online assessment neuropsychological online screening (NOS): This screening includes self-reports and psychometric memory tests (face-name association, visual short-term memory). Data of help-seeking individuals (n = 213, mean age: 48.2 years) running an extensive in-person assessment were analyzed. A functional deficit in at least one cognitive domain was detected in 48 individuals. This classification was supported by the preceding online screening (sensitivity = 0.75, specificity = 0.80), and a linear regression model identified two significant predictors (free recall performance, form discrimination in visual short-term memory). The predictive quality was enhanced for individuals with selective deficits in the mnestic domain (n = 23: sensitivity = 0.78 and specificity = 0.78) as compared to the attentive domain (n = 25: sensitivity = 0.68 and specificity = 0.75). Our results show that a neuropsychological in-person assessment cannot be replaced by an unsupervised self-administered online test. However, a specific pattern of results in the online test might indicate the necessity of an extensive assessment in help-seeking individuals.
en
dc.format.extent
13 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Neuropsychological diagnostic
en
dc.subject
Web-based assessment
en
dc.subject
Predictive value
en
dc.subject.ddc
100 Philosophie und Psychologie::150 Psychologie::150 Psychologie
dc.title
Predictive value of an unsupervised web-based assessment of the neuropsychological function
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
1645
dcterms.bibliographicCitation.doi
10.1038/s41598-025-85614-x
dcterms.bibliographicCitation.journaltitle
Scientific Reports
dcterms.bibliographicCitation.volume
15
dcterms.bibliographicCitation.url
https://doi.org/10.1038/s41598-025-85614-x
refubium.affiliation
Erziehungswissenschaft und Psychologie
refubium.affiliation.other
Arbeitsbereich Allgemeine Psychologie und Neuropsychologie

refubium.affiliation.other
Arbeitsbereich Methoden und Evaluation

refubium.funding
Springer Nature DEAL
refubium.note.author
Die Publikation wurde aus Open Access Publikationsgeldern der Freien Universität Berlin gefördert.
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2045-2322