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Updated: May 3, 2026

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Cog-First: standardization of a tablet-based self-administered cognitive screening.

Camille Heslot1,2,3,4,5, Alexis Schnitzler6,7,8, Marion Houot9,10,11

  • 1Paris Brain Institute (ICM), Frontlab, CNRS UMR 7225, INSERM U1127, Paris, France - camille.heslot@aphp.fr.

European Journal of Physical and Rehabilitation Medicine
|April 9, 2025
PubMed
Summary
This summary is machine-generated.

This study standardized Cog-First, a cognitive screening tool, by establishing reliable norms for accurate interpretation in patients with acquired brain injury. This facilitates early detection of cognitive impairments and improves patient outcomes.

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Clinical Assessment

Background:

  • Acquired brain injury can cause subtle cognitive deficits impacting long-term prognosis.
  • Cog-First is a tablet-based tool for self-administered cognitive screening (executive function, memory, attention) in ~20 minutes.
  • Early detection of cognitive disorders is crucial for patient outcomes.

Purpose of the Study:

  • To establish reliable normative data for the Cog-First cognitive screening tool.
  • To enable meaningful comparisons between patients and a healthy reference population.
  • To support the clinical use of Cog-First for early detection of cognitive impairments.

Main Methods:

  • A cross-sectional study involving 406 healthy French-speaking volunteers.
  • Participants completed the Cog-First assessment (7 subtests) under standardized conditions.
  • Generalized linear models (GLMs) were used to evaluate effects of gender, age, education, and version, informing score correction and percentile derivation.

Main Results:

  • Significant influences of gender, age, education, and test version were found on sub-scores.
  • Standardization involved calculating percentiles on corrected scores in the healthy volunteer population.
  • Test-retest analyses revealed a learning effect on 4 out of 7 subtests.

Conclusions:

  • Standardization yielded score formulas adjusted for demographic factors and version, integrated into software for automated scoring.
  • Reliable norms for Cog-First were established, enhancing score interpretation and clinical utility.
  • This facilitates early detection of cognitive impairments, potentially improving patient outcomes post-brain injury.