Enhancing Cognition in Older Adults With Intermittent Hypoxia and Cognitive Training

The current study will investigate methods for enhancing cognitive training (CT) effects in healthy older adults by employing a combination of interventions facilitating neural plasticity and optimizing readiness for learning. Adults over the age of 65 represent the fastest growing group in the US population. As such, age-related cognitive decline represents a major concern for public health. Recent research suggests that cognitive training in older adults can improve cognitive performance, with effects lasting up to 10 years. However, these effects are typically limited to the tasks trained, with little transfer to other cognitive abilities or everyday skills. A pilot randomized clinical trial will examine the individual and combined impact of pairing cognitive training with an intermittent hypoxia (IH) intervention. The investigators will compare changes in cognitive and brain function resulting from CT combined with active IH versus CT combined with sham IH using a comprehensive neurocognitive, clinical, and multimodal neuroimaging assessment of brain structure, function, and metabolic state. Functional magnetic resonance imaging (FMRI) will be used to assess brain response during speed of processing; the active cognitive abilities trained by CT. Magnetic resonance spectroscopy (MRS) will assess cerebral metabolites, including ATP and GABA concentrations sensitive to neural plasticity.

Age-related cognitive decline has become a major public health concern. As the population ages, the number of older adults experiencing cognitive and functional disturbances has increased. There is currently a paucity of effective interventions to prevent or treat cognitive decline or to enhance brain function in the elderly. The proposed study will recruit a cohort from the state with the highest growth of older adults. The study team will employ a randomized controlled trial (RCT) to test whether the benefits of cognitive training (CT) can be enhanced by a combined adjunctive intervention aimed at increasing neural plasticity and optimizing readiness for learning: intermittent hypoxia (IH).

Current CT approaches have been shown to improve performance on trained tasks, with effects lasting up to ten years. However, generalization of effects to other cognitive domains and everyday functioning has been a problem in the past. There is now compelling evidence that the elderly do experience functional improvements that persist long after initial training, though peoples' ability to derive such benefits varies. Combined interventions have rarely been examined and methods aimed at increasing neural plasticity and optimizing readiness for learning are only now beginning to be explored. The proposed study will test one theoretical approach for facilitating and optimizing CT effects on functional outcome. The investigators will use an adjunctive physiological method to further stimulate task-related brain regions, directly enhancing neural responsivity/plasticity and ultimately learning. While theoretical rationales exist for each of these approaches, no studies to date have shown whether adjunctive administration can optimize learning and functional status in the elderly.

A pilot randomized clinical trial will enroll 55 participants, with a target of 20 participants completing the study, and as many as 30 participants consenting but failing to meet inclusion criteria at in person screening, and 5 participants withdrawing prior to completion. Cognitively healthy elderly adults, age 65-89 will undergo either a CT intervention in combination with IH or sham IH control. The CT intervention will employ the Double Decision task from the POSIT Science Brain HQ; a well validated CT method for enhancing cognitive functioning in the elderly. Participants will receive IH or sham/placebo IH administered during training.

Participants will be assessed at baseline and after CT (2 weeks). At each time point, a comprehensive neurocognitive, clinical and multimodal neuroimaging assessment of brain function, metabolic state, and brain structure will be conducted.

FMRI will be used to assess brain response during working memory, attention and memory encoding. Proton magnetic resonance spectroscopy (MRS) will assess cerebral metabolites, including gamma-aminobutyric acid (GABA) concentrations, sensitive to neural plasticity in task-associated brain regions.

Eligibility Criteria:
Inclusion Criteria:

* English speaking
* Physically mobile
* Cognitive function between 0-79th percentile determined by screening results on the POSIT Baseline Cognitive Training computerized tasks.

Exclusion Criteria:

* Neurological disorders (e.g., dementia, stroke, seizures, traumatic brain injury).
* Evidence of dementia (NACC UDS scores of 1.5 standard deviations below the mean for age, sex and education adjusted norms in a single cognitive domain on the task).
* Past opportunistic brain infection
* Major psychiatric illness (schizophrenia, intractable affective disorder, current substance dependence diagnosis or severe major depression and/or suicidality.
* Unstable (e.g., cancer other than basal cell skin) and chronic (e.g, severe diabetes) medical conditions.
* MRI contraindications (e.g., pregnancy, claustrophobia, metal implants that are contraindicated for MRI).
* Physical impairment precluding motor response or lying still for 1 hr and inability to walk two blocks without stopping.
* Certain prescription CNS acting medications that alter the neuroplastic response of brain tissue (gabaergic and glutamatergic drugs).
* Hearing or vision deficits that will not allow for standardized cognitive training; ie colorblindness, inability to hear through headphones (with or without hearing aids), macular degeneration or other significant diseases that cause severe loss of vision. If vision is corrected with lenses to appropriate levels, then participant will be eligible.
* Left handedness, as those with left-handedness have a higher percentage rate of atypical functional lateralization for brain functions, which would significantly interfere with interpretability of brain data.
* Cancer (other than skin) within the last 3 years.
* Sleep apnea diagnosis or suspected sleep apnea.
* Heart failure or heart disease.
* Pulmonary disease.