Enhancing Attention in Elderly Using a Brain-Computer-Interface

Summary

Cognitive reserve refers to the brain's ability to maintain cognitive performance despite age-related changes or neuropathology. Enhancing cognitive reserve is thought to delay cognitive decline and improve functional outcomes in aging and neurodegenerative conditions. Attention and memory-related neural processes are considered key contributors to cognitive reserve, yet it remains unclear whether these neural markers can be deliberately strengthened through targeted training and non-invasive interventions.

The goal of this clinical study is to investigate whether mindfulness-based meditation and non-invasive brain stimulation can enhance neural markers of attention and memory that serve as proxies for cognitive reserve in cognitively healthy adults and older adults diagnosed with mild cognitive impairment (MCI). Investigators hypothesize that strengthening these neural markers will lead to measurable improvements in cognitive reserve-related functions in both healthy aging and MCI populations.

This study further hypothesizes that neural markers of attention can be selectively enhanced using an electroencephalography (EEG)-based brain-computer interface (BCI) combined with non-invasive interventions such as mindfulness-based relaxation or neuromodulation. During the study, participants will perform a computerized memory task while their EEG signals are recorded in real time. A BCI will analyze these signals to decode the presence or absence of the P300 event-related potential, a well-established neural marker of attentional control and cognitive resource allocation. Real-time feedback and intervention will be used to modulate these neural processes with the goal of promoting adaptive changes in attention-related brain activity.

By integrating EEG-based decoding, behavioral training, and non-invasive interventions, this study aims to determine whether targeted modulation of attention-related neural activity can support cognitive reserve in aging and mild cognitive impairment.

Conditions

• Mild Cognitive Impairment (MCI)

Interventions

DEVICE

transcranial electrical stimulation

tACS is delivered as a pre-task neuromodulatory intervention intended to prime neural activity before cognitive assessment. Electroencephalography (EEG) signals will be recorded from subjects as they perform nback tasks. The neural correlates of attention will be processed and decoded in real-time using machine learning algorithms to provide feedback. Subjects are instructed to assume a mental state/find a strategy to maximise the accuracy of feedback. In total, each subject will complete 5 sessions of nback training with this intervention.

BEHAVIORAL

Mindfulness Meditation

A relaxation protocol based on mindfulness meditation will be carried out. This consists of closing the eyes and focusing on breathing and relaxing for a period of 5 minutes. Electroencephalography (EEG) signals will be recorded from subjects as they perform nback tasks. The neural correlates of attention will be processed and decoded in real-time using machine learning algorithms to provide feedback. Subjects are instructed to assume a mental state/find a strategy to maximise the accuracy of feedback. In total, each subject will complete 5 sessions of nback training with this intervention

Sponsors & Collaborators

• University of Texas at Austin

  lead OTHER

Study Design

Allocation

RANDOMIZED

Purpose

TREATMENT

Masking

NONE

Model

PARALLEL

Eligibility

Min Age

18 Years

Max Age

90 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2026-03-01

Primary Completion

2028-02-01

Completion

2029-02-01

FDA Device

Yes

Countries

• United States

Study Locations