A passive and objective measure of recognition memory in mild cognitive impairment using Fastball memory assessment

As viable pharmacotherapies and blood biomarkers emerge for dementia treatment and screening, there remains a great need for accurate, sensitive biomarkers of cognitive function. We have previously demonstrated that Fastball, a new Electroencephalography (EEG) method for the passive and objective measurement of recognition memory that requires no behavioural memory response or task comprehension, is sensitive to cognitive dysfunction in Alzheimer's disease. Here we present new evidence that Fastball is sensitive to amnestic dysfunction in an earlier stage of the dementia lifecourse, Mild Cognitive Impairment (MCI). 53 MCI patients and 54 healthy older adult (HOA) controls completed a 3-min Fastball task in which they passively viewed rapidly presented images while EEG captured their automatic ability to differentiate between images based on previous exposure. They also completed neuropsychological assessments of memory (Delayed Match to Sample-48), sustained attention (Psychomotor Vigilance Task), and general cognitive function (Addenbrookes Cognitive Exam-iii). Participants were re-tested after 1 year to establish the test-retest reliability of Fastball in HOAs, and the sensitivity of Fastball to cognitive decline in MCI patients, over a 1 year period. Amnestic MCI patients showed significantly reduced Fastball responses compared with non-amnestic MCI patients (<i>P</i> = 0.001, Cohen's <i>d</i> = 0.98) and HOA controls (<i>P</i> = 0.005, Cohen's <i>d</i> = 0.64). Regression analyses showed that Fastball EEG responses were selectively predictive of neuropsychological measures of recognition memory and not attention. Between baseline and year one follow-up Fastball showed moderate to good test-retest reliability in HOA controls, and the six MCI-dementia converters showed a trend for lower Fastball responses at baseline which will be confirmed with further longitudinal assessment. Fastball is further validated as a viable method for testing recognition memory in cognitively impaired populations. We have demonstrated that it is selectively predictive of memory dysfunction and not attention or other cognitive functions. It is passive, non-invasive, quick to administer and uses cheap, scalable EEG technology. Fastball is a viable functional biomarker that can help to advance cognitive assessment in MCI.

Authors

Institutions

Publication Details

Journal
Brain Communications
Published
2025-01-01
DOI
https://doi.org/10.1093/braincomms/fcaf279
Citations
3
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
4.41

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A passive and objective measure of recognition memory in mild cognitive impairment using Fastball memory assessment

Elizabeth Coulthard, Sam Creavin, George Stothart, Sophie Alderman et al.
3 citations
Brain Communications
Dementia and Cognitive Impairment Research
4.41
article

A passive and objective measure of recognition memory in mild cognitive impairment using Fastball memory assessment

Elizabeth Coulthard, Sam Creavin, George Stothart, Sophie Alderman, Oliver Hermann
article en
3 citations

Abstract

As viable pharmacotherapies and blood biomarkers emerge for dementia treatment and screening, there remains a great need for accurate, sensitive biomarkers of cognitive function. We have previously demonstrated that Fastball, a new Electroencephalography (EEG) method for the passive and objective measurement of recognition memory that requires no behavioural memory response or task comprehension, is sensitive to cognitive dysfunction in Alzheimer's disease. Here we present new evidence that Fastball is sensitive to amnestic dysfunction in an earlier stage of the dementia lifecourse, Mild Cognitive Impairment (MCI). 53 MCI patients and 54 healthy older adult (HOA) controls completed a 3-min Fastball task in which they passively viewed rapidly presented images while EEG captured their automatic ability to differentiate between images based on previous exposure. They also completed neuropsychological assessments of memory (Delayed Match to Sample-48), sustained attention (Psychomotor Vigilance Task), and general cognitive function (Addenbrookes Cognitive Exam-iii). Participants were re-tested after 1 year to establish the test-retest reliability of Fastball in HOAs, and the sensitivity of Fastball to cognitive decline in MCI patients, over a 1 year period. Amnestic MCI patients showed significantly reduced Fastball responses compared with non-amnestic MCI patients (<i>P</i> = 0.001, Cohen's <i>d</i> = 0.98) and HOA controls (<i>P</i> = 0.005, Cohen's <i>d</i> = 0.64). Regression analyses showed that Fastball EEG responses were selectively predictive of neuropsychological measures of recognition memory and not attention. Between baseline and year one follow-up Fastball showed moderate to good test-retest reliability in HOA controls, and the six MCI-dementia converters showed a trend for lower Fastball responses at baseline which will be confirmed with further longitudinal assessment. Fastball is further validated as a viable method for testing recognition memory in cognitively impaired populations. We have demonstrated that it is selectively predictive of memory dysfunction and not attention or other cognitive functions. It is passive, non-invasive, quick to administer and uses cheap, scalable EEG technology. Fastball is a viable functional biomarker that can help to advance cognitive assessment in MCI.

Brain CommunicationsVol. 7(5)
University of Bristol (GB), University of Bath (GB)
Academy of Medical Sciences
Openalex Percentile: Top 5%
Dementia and Cognitive Impairment Research
4.41
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.