Verbal Learning and Memory Deficits across Neurological and Neuropsychiatric Disorders: Insights from an ENIGMA Mega Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F24%3A43921375" target="_blank" >RIV/00023752:_____/24:43921375 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11110/24:10482335 RIV/00216208:11120/24:43927420

Result on the web

<a href="https://www.mdpi.com/2851850" target="_blank" >https://www.mdpi.com/2851850</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/brainsci14070669" target="_blank" >10.3390/brainsci14070669</a>

Result language

angličtina

Original language name

Verbal Learning and Memory Deficits across Neurological and Neuropsychiatric Disorders: Insights from an ENIGMA Mega Analysis

Original language description

Deficits in memory performance have been linked to a wide range of neurological and neuropsychiatric conditions. While many studies have assessed the memory impacts of individual conditions, this study considers a broader perspective by evaluating how memory recall is differentially associated with nine common neuropsychiatric conditions using data drawn from 55 international studies, aggregating 15,883 unique participants aged 15–90. The effects of dementia, mild cognitive impairment, Parkinson’s disease, traumatic brain injury, stroke, depression, attention-deficit/hyperactivity disorder (ADHD), schizophrenia, and bipolar disorder on immediate, short-, and long-delay verbal learning and memory (VLM) scores were estimated relative to matched healthy individuals. Random forest models identified age, years of education, and site as important VLM covariates. A Bayesian harmonization approach was used to isolate and remove site effects. Regression estimated the adjusted association of each clinical group with VLM scores. Memory deficits were strongly associated with dementia and schizophrenia (p &lt; 0.001), while neither depression nor ADHD showed consistent associations with VLM scores (p &gt; 0.05). Differences associated with clinical conditions were larger for longer delayed recall duration items. By comparing VLM across clinical conditions, this study provides a foundation for enhanced diagnostic precision and offers new insights into disease management of comorbid disorders.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30103 - Neurosciences (including psychophysiology)

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Brain Sciences

ISSN

2076-3425

e-ISSN

2076-3425

Volume of the periodical

14

Issue of the periodical within the volume

7

Country of publishing house

CH - SWITZERLAND

Number of pages

21

Pages from-to

"Article Number: 669"

UT code for WoS article

001311286700001

EID of the result in the Scopus database

2-s2.0-85199581527