Enhancing Attention in Elderly Using a Brain-Computer-Interface
Building Cognitive Reserve Through Brain-Computer-Interfaces
1 other identifier
interventional
100
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Mar 2026
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 21, 2026
CompletedFirst Posted
Study publicly available on registry
February 27, 2026
CompletedStudy Start
First participant enrolled
March 1, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 1, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
February 1, 2029
February 27, 2026
February 1, 2026
1.9 years
February 21, 2026
February 25, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in neural correlates of attention across different intervention sessions
This outcome measures whether neural correlates of attentional markers (e.g. amplitude, peak-to-peak, band power and connectivity measures of neural correlates) change across sessions as a result of intervention.
From enrollment to the end of the study after 3 days (young adults) or 8 days (older adults)
Secondary Outcomes (1)
Change in correct answer rate of memory task across intervention sessions
From enrollment to the end of the study after 3 days (young adults) or 8 days (older adults)
Study Arms (4)
Behavior-based Attention control with Meditation
ACTIVE COMPARATORSubjects complete an nback task after a meditation intervention in which ground truth visual feedback is provided at the end of each run.
Behavior-based Attention control with Open-Loop tACS
ACTIVE COMPARATORSubjects complete an nback task after a tACS intervention in which ground truth visual feedback is provided at the end of each run.
EEG-based Attention Control and Meditation
EXPERIMENTALSubjects complete an nback task in which EEG-based visual feedback is provided after each trial
EEG-Based Attention Control and Open-Loop tACS
EXPERIMENTALSubjects complete an nback task in which EEG-based visual feedback is provided after each trial
Interventions
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.
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
Eligibility Criteria
You may qualify if:
- Younger adults:
- Good general health.
- Normal or corrected vision.
- no history of neurological/psychiatric disease
- ability to read and understand English
- ability to understand information and ability to give a free and informed consent
- Older adults:
- Normal or corrected vision.
- Self-reports no current diagnosis of dementia.
- Ability to provide written/electronic, informed consent.
You may not qualify if:
- Younger Adults:
- Neurological or psychiatric diseases that could be contraindicated for tACS (e.g., personal history of epilepsy/seizure brain damage, history of fainting, bipolar disorder, schizophrenia, current substance use disorder, etc.).
- Medications that elevate seizure threshold (e.g., stimulant medication, high dose bupropion).
- Factors hindering EEG acquisition and tACS delivery (e.g., skin infection, wounds, dermatitis, inability to access the scalp of the participant).
- Older Adults:
- Neurological or psychiatric diseases that could be contraindicated for tACS (e.g., personal history of epilepsy/seizure brain damage, pacemakers, history of fainting, bipolar disorder, schizophrenia, current substance use disorder, etc.).
- Medications that elevate seizure threshold (e.g., stimulant medication, high dose bupropion).
- Factors hindering EEG acquisition and tACS delivery (e.g., skin infection, wounds, dermatitis, inability to access the scalp of the participant).
- Diagnosis of dementia.
- Do not have the capacity to provide informed consent.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Engineering Education and Research Center
Austin, Texas, 78712, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
February 21, 2026
First Posted
February 27, 2026
Study Start
March 1, 2026
Primary Completion (Estimated)
February 1, 2028
Study Completion (Estimated)
February 1, 2029
Last Updated
February 27, 2026
Record last verified: 2026-02
Data Sharing
- IPD Sharing
- Will share
All data will be made available by the online publication date. These data will be placed in public servers for any interested researcher to access it