Dementia encompasses a group of neurodegenerative disorders characterized by progressive cognitive decline, profoundly impacting memory, executive function, visuo-perceptual abilities, language and daily living. Accurate diagnosis, monitoring, and intervention rely heavily on cognitive assessment tools. Over the decades, these tools have evolved from basic psychometric tests to sophisticated computational and digital solutions. As dementia prevalence rises globally, understanding the trajectory and improvement of cognitive assessments is critical for effective research, clinical practice, and policy-making.
Despite ongoing innovations, challenges remain in ensuring cognitive assessment tools for dementia are sensitive, specific, accessible, and valid across diverse populations. Many existing tools do not fully account for linguistic, educational, or cultural differences, and their utility in early detection or longitudinal monitoring can be limited. The primary goal of this Research Topic is to critically examine the evolution of cognitive assessment instruments, identifying both advancements and persistent gaps. By fostering interdisciplinary dialogue and showcasing innovative solutions, this collection aims to advance the development and implementation of assessment tools that are robust, inclusive, and adaptable for global dementia research and clinical practice. Collaborative efforts documented here may pave the way for standardized frameworks, transforming the landscape of dementia assessment and care.
This Research Topic welcomes contributions that explore, current advancements, and future directions of cognitive assessment tools in dementia research. Themes of interest include the limitations of traditional assessments, integration of digital technologies (e.g., mobile apps, wearable devices), cross-cultural adaptations, and the application of artificial intelligence. We invite original research, reviews, mini-reviews, perspectives, and case studies. Submissions highlighting novel methodologies, validation studies, or comparative analyses between traditional and modern tools are especially encouraged.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Hypothesis and Theory
Methods
Mini Review
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Perspective
Review
Study Protocol
Systematic Review
Technology and Code
Keywords: Dementia, Cognitive assessment, Digital technologies, Artificial intelligence, Validation
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
