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| ID | Type | Description | Link |
|---|---|---|---|
| RX-003173 | Other Grant/Funding Number | Department of Veterans Affairs | |
| JIA-20-003-HE | Other Identifier | VA IRB |
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Military deployment is associated with increased risk of mild cognitive impairment (MCI). Combat stress related memory deficits has been well documented. Mild cognitive impairment such as memory deficits are the most common and earliest symptoms of Alzheimer's disease and related dementia (ADRD). The complaints about declined memory are common in healthy and cognitively intact civilian older adults, but less understood in aging Veterans. Brain training strategies to enhance cognitive skills and especially memory processes are unmet needs in aging Veterans who are at additional risk for MCI induced by ADRD. Since currently there is no effective drug treatment to stop cognitive decline, non-invasive brain training to boost memory functions in older Veterans is an increasingly attractive option to attenuating decline in memory.
The proposed project is poised to investigate state-of-art neurofeedback (NF; biofeedback of brain activity) training for self-modulation of neural plasticity to boost memory performance in Veterans. The recent advance of NF with Brian-Computer Interface (BCI) has provided a novel way to examine brain functions and plasticity. Thus far, there have been limited applications that have developed effective experimental and clinical paradigms for rehabilitation in Veterans. Historically, brainwave patterns during memory task performance have been analysed offline, a methodology which does not allow real-time NF modulation and training. The central hypothesis guiding this research is that optimal memory-related brainwave patterns of a Veteran can be trained. The online NF allows maximization of brainwave patterns associated with healthier memory states.
The development of efficient NF paradigms to augment memory performance is an important first step for the application of this nonpharmacologic intervention to improve combat Veterans' memory functions and potential for treating MCI due to mild TBI or pain. The pilot work will start with wider range of Veterans using state-of-the-art wearable wireless brain-computer interface headset, which is affordable and can be easily set up in VAMCs and eventually in remote assessment settings. This innovative, cognitive neuroscience based, nonpharmacologic intervention serves to revolutionize the diagnosis and treatment of combat Veterans who are at risk for degenerative dementia.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| MCI patients | Experimental | Vets with mild cognitive impairment |
|
| NC | Active Comparator | Normal healthy Veterans |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Neurofeedback | Device | Neurofeedback will be tested in both groups of Vets |
|
| Measure | Description | Time Frame |
|---|---|---|
| EEG alpha band | alpha power under eyes closed and eyes open are linked to better mental state; likely biomarker for mild cognitive impairment. | 6-8 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| memory-related potentials | Brainwaves that are linked to better memory performance | 6-8 weeks |
| California Verbal Learning Test | A battery of neuropsychological testing cognitive functions |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Yang Jiang, PhD | Lexington VA Medical Center, Lexington, KY | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Lexington VA Medical Center, Lexington, KY | Lexington | Kentucky | 40502-2235 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35418848 | Result | Jiang Y, Jessee W, Hoyng S, Borhani S, Liu Z, Zhao X, Price LK, High W, Suhl J, Cerel-Suhl S. Sharpening Working Memory With Real-Time Electrophysiological Brain Signals: Which Neurofeedback Paradigms Work? Front Aging Neurosci. 2022 Mar 28;14:780817. doi: 10.3389/fnagi.2022.780817. eCollection 2022. | |
| 39206795 | Result |
| Label | URL |
|---|---|
| Sharpening Working Memory With Real-Time Electrophysiological Brain Signals: Which Neurofeedback Paradigms Work? | View source |
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De-identified data will be analyzed and kept at least 6 years after project. Results will be shared via publications. The qualified researchers may contact PI and VA for further sharing of the research data.
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| ICF | No | No | Yes | Informed Consent Form | Apr 19, 2022 | Mar 5, 2024 | ICF_000.pdf |
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| ID | Term |
|---|---|
| D060825 | Cognitive Dysfunction |
| ID | Term |
|---|---|
| D003072 | Cognition Disorders |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
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| ID | Term |
|---|---|
| D058765 | Neurofeedback |
| D001676 | Biofeedback, Psychology |
| ID | Term |
|---|---|
| D026441 | Mind-Body Therapies |
| D000529 | Complementary Therapies |
| D013812 | Therapeutics |
| D001521 | Behavior Therapy |
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Exp1. Protocol establishment: 15 cognitively intact and 15 Vets with mild cognitive impairment
Exp2. Efficacy Testing: 20 Vets over the age of 60
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| About 6-8 weeks |
| Jiang Y, Neal J, Sompol P, Yener G, Arakaki X, Norris CM, Farina FR, Ibanez A, Lopez S, Al-Ezzi A, Kavcic V, Guntekin B, Babiloni C, Hajos M. Parallel electrophysiological abnormalities due to COVID-19 infection and to Alzheimer's disease and related dementia. Alzheimers Dement. 2024 Oct;20(10):7296-7319. doi: 10.1002/alz.14089. Epub 2024 Aug 29. |
| D011613 |
| Psychotherapy |
| D004191 | Behavioral Disciplines and Activities |
| D030141 | Feedback, Psychological |