Your browser doesn't support javascript.
loading
Digital neuropsychological measures by defense automated neurocognitive assessment: reference values and clinical correlates.
Ding, Huitong; Kim, Minzae; Searls, Edward; Sunderaraman, Preeti; De Anda-Duran, Ileana; Low, Spencer; Popp, Zachary; Hwang, Phillip H; Li, Zexu; Goyal, Kriti; Hathaway, Lindsay; Monteverde, Jose; Rahman, Salman; Igwe, Akwaugo; Kolachalama, Vijaya B; Au, Rhoda; Lin, Honghuang.
Afiliación
  • Ding H; Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
  • Kim M; The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
  • Searls E; Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
  • Sunderaraman P; Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
  • De Anda-Duran I; The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
  • Low S; Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
  • Popp Z; School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.
  • Hwang PH; Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
  • Li Z; Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
  • Goyal K; Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States.
  • Hathaway L; Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
  • Monteverde J; Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
  • Rahman S; Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
  • Igwe A; Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
  • Kolachalama VB; Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
  • Au R; Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
  • Lin H; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
Front Neurol ; 15: 1340710, 2024.
Article en En | MEDLINE | ID: mdl-38426173
ABSTRACT

Introduction:

Although the growth of digital tools for cognitive health assessment, there's a lack of known reference values and clinical implications for these digital methods. This study aims to establish reference values for digital neuropsychological measures obtained through the smartphone-based cognitive assessment application, Defense Automated Neurocognitive Assessment (DANA), and to identify clinical risk factors associated with these measures.

Methods:

The sample included 932 cognitively intact participants from the Framingham Heart Study, who completed at least one DANA task. Participants were stratified into subgroups based on sex and three age groups. Reference values were established for digital cognitive assessments within each age group, divided by sex, at the 2.5th, 25th, 50th, 75th, and 97.5th percentile thresholds. To validate these values, 57 cognitively intact participants from Boston University Alzheimer's Disease Research Center were included. Associations between 19 clinical risk factors and these digital neuropsychological measures were examined by a backward elimination strategy.

Results:

Age- and sex-specific reference values were generated for three DANA tasks. Participants below 60 had median response times for the Go-No-Go task of 796 ms (men) and 823 ms (women), with age-related increases in both sexes. Validation cohort results mostly aligned with these references. Different tasks showed unique clinical correlations. For instance, response time in the Code Substitution task correlated positively with total cholesterol and diabetes, but negatively with high-density lipoprotein and low-density lipoprotein cholesterol levels, and triglycerides.

Discussion:

This study established and validated reference values for digital neuropsychological measures of DANA in cognitively intact white participants, potentially improving their use in future clinical studies and practice.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neurol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neurol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza