Healthy Adults
Conditions
Brief summary
The primary goal of this project is to evidence potential synergistic benefits on cognitive control processes using a video game (Body-Brain Trainer, or BBT) that integrates cognitive and physical challenges in a complimentary fashion. Healthy adults will be recruited for a longitudinal experiment and randomly assigned to one of four study groups to mechanistically tease apart the possible presence of any synergistic effects on cognitive abilities through the combination of cognitive & physical challenges.
Detailed description
Cognitive control functions (e.g. attention, working memory, goal-management) dictate our ability to learn and accomplish selected behavioral goals, with deficiencies in these processes found in a range of mental illnesses. The primary goal of this project is to evidence potential synergistic benefits on cognitive control processes using a video game (Body-Brain Trainer, or BBT) that integrates cognitive and physical challenges in a complimentary fashion. Healthy adults will be recruited for a longitudinal experiment and randomly assigned to one of four study groups: 1) BBT, 2) Brain Training (BBT played with a gamepad controller), 3) Body Training (BBT without any cognitive demands), and 4) an expectancy matched placebo control group. Individuals will engage in eight weeks of training within our Neuroscape Laboratory, with pre- and post-training assessments evaluating physical, cognitive, and neural measures. The completion of this project will result in a more sophisticated understanding of how the integration of cognitive and physical training potentially impacts cognitive control processes, setting the stage for more effective interventions for mental illness and learning-related impairments.
Interventions
A novel video game-based intervention that incorporates i) adaptive algorithms critical for cognitive training, ii) physiological measures such as heart rate into the core game mechanics, and iii) motion capture technology to incorporate whole-body kinematics into game play. This group will train for 36 minutes per day, 3 days a week for 8 weeks.
A novel video game-based intervention that incorporates physiological measures such as heart rate into the core game mechanics, with motion capture technology to incorporate whole-body kinematics into game play. This group will train for 36 minutes per day, 3 days a week for 8 weeks. The Body Trainer group will train using closed-loop adaptive algorithms to challenge physical performance as guided by heart rate, such that the amount of movement needed to respond on each task will dynamically change depending upon the participant being below/above a predetermined derived level of exertion. During Body Training, participants will only perform a basic reaction task in each level/module to ensure only the most minimal cognitive challenge is present
The Brain Trainer group will train using the aforementioned closed-loop adaptive algorithms to challenge cognitive performance, except while sitting down and playing with an Xbox control pad (thus removing all physical training aspects). This group will train for 36 minutes per day, 3 days a week for 8 weeks.
The placebo-matched control group will engage in a battery of three apps (playing each app 10 minutes per day, 5 days a week for 8 weeks completed in the laboratory that we believe will have no significant impact on the cognitive or physical fitness measures we are assessing: i) an app with 100 different logic games of varying difficulty and length, ii) a language-learning app with 10 language options, and iii) an app that offers a guided Tai Chi program. We have pre-determined that this approach generates matched expectancy compared to our training groups: we asked 100 naïve individuals to predict how they would expect to improve performance on our outcome measures after training on one of these platforms, revealing that placebo training generates equivalent expectations of improvement across each outcome measure as the BBT group.
Sponsors
Study design
Eligibility
Inclusion criteria
* Can walk briskly for at least 15 minutes continuously without stopping * Can stand up from a chair without using your hands * Available to come 3x/week to our UCSF Mission Bay laboratory for 8 weeks * Willing and able to undergo MRI, EEG procedures * English fluency
Exclusion criteria
* cardiac problems * bypass surgery * pacemaker or heart valve replacement * stroke * respiratory conditions * head trauma with loss of consciousness for less than a few minutes * severe head trauma with loss of consciousness for more than a few minutes * high/low blood pressure * kidney failure * electroconvulsive therapy (ECT) * seizures * implanted electrodes * cancer/chemotherapy/radiation * diabetes * irritable bowel syndrome * back problems * claustrophobia * Having been diagnosed with a psychiatric or neurological disorder * Use of an assistive device (e.g., cane or walker) at any time to assist with ambulation * Joint problems causing significant pain upon movement * Heart Disease or Cardiovascular Disease * Respiratory Disease (Lung Disease)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| mCPT (Derived From Test of Variables of Attention (T.O.V.A.)) | At baseline and following the intervention (these data were collected no more than 1 week after intervention period ended, thus approximately 9 weeks after baseline data were collected) | A change from baseline regarding measurement of sustained attention and impulsivity abilities |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Delayed Recognition Working Memory Task: Response Time Variability Prior to and 9-weeks After Baseline | At baseline and following the intervention (these data were collected no more than 1 week after intervention period ended, thus approximately 9 weeks after baseline data were collected) | A change from baseline regarding measurement of working memory abilities in the presence of interference. This task involved memorizing a face for set amount of time, followed by a delay period (during which participants were exposed to different types of distracting images), followed by the presentation of an image that participants are cued to respond whether or not this image matches the initial one presented. Here we examined a version of response time variance derived from exGaussain Statistics called tau, that is a measure of response time variance that considers the tails on a Gaussian distribution with respect to response time variability. This analysis allows one to see how variant one's performance could be on trials that fall outside of their mean performance distribution. |
Other
| Measure | Time frame | Description |
|---|---|---|
| Blood Pressure Measures | At baseline and following the intervention (these data were collected no more than 1 week after intervention period ended, thus approximately 9 weeks after baseline data were collected) | Assessing a change in systolic & diastolic pressure following the intervention |
| Limit of Stability | At baseline and following the intervention (these data were collected no more than 1 week after intervention period ended, thus approximately 9 weeks after baseline data were collected) | Assessing a change in balance following the intervention |
| EEG Functional Measure (Event-related Spectral Perturbation) | At baseline and following the intervention (these data were collected no more than 1 week after intervention period ended, thus approximately 9 weeks after baseline data were collected) | Assessing a change in event-related spectral perturbation following the intervention |
| EEG Functional Measure (Long-range Coherence as Measured Via Phase Locking Values): Decibels Prior to and at 9 Weeks Post Baseline | At baseline and following the intervention (these data were collected no more than 1 week after intervention period ended, thus approximately 9 weeks after baseline data were collected) | Assessing a change in coherence following the intervention. This measure assesses the synchronization of neural activity between frontal and posterior regions of the brain, looking to quantify how coherent these signals are. For example, if the activity at the front of the head shows greater synchrony with activity at the back of the head, than this measure of interest would show a greater amount of coherence. Coherence of this type is reported in the form of phase locking value, which tells us how consistently the timing of those rhythms stay aligned across many repetitions of the same event. PLV close to 1 (or 100%) → very consistent timing, almost perfectly locked together, whereas PLV close to 0 → timing is random, no consistent relationship. PLVs are typically reported in decibels to facilitate seeing subtle changes, compare across conditions, and stay consistent with other brainwave measures. |
Countries
United States
Participant flow
Pre-assignment details
We were only able to enroll in 2 of the 4 arms for this study due to resource limitations for this study.
Participants by arm
| Arm | Count |
|---|---|
| Body-Brain Trainer Body-Brain Trainer
Body-Brain Trainer: A novel video game-based intervention that incorporates i) adaptive algorithms critical for cognitive training, ii) physiological measures such as heart rate into the core game mechanics, and iii) motion capture technology to incorporate whole-body kinematics into game play. This group will train for 36 minutes per day, 3 days a week for 8 weeks. | 24 |
| Expectancy Matched Control Group The placebo-matched control group will engage in a battery of three apps in the laboratory that we believe will have no significant impact on cognition
Expectancy Matched Control: The placebo-matched control group will engage in a battery of three apps (playing each app 10 minutes per day, 5 days a week for 8 weeks completed in the laboratory that we believe will have no significant impact on the cognitive or physical fitness measures we are assessing: i) an app with 100 different logic games of varying difficulty and length, ii) a language-learning app with 10 language options, and iii) an app that offers a guided Tai Chi program. We have pre-determined that this approach generates matched expectancy compared to our training groups: we asked 100 naïve individuals to predict how they would expect to improve performance on our outcome measures after training on one of these platforms, revealing that placebo training generates equivalent expectations of improvement across each outcome measure as the BBT group. | 25 |
| Total | 49 |
Baseline characteristics
| Characteristic | Body-Brain Trainer | Expectancy Matched Control Group | Total |
|---|---|---|---|
| Age, Continuous | 68.8 years STANDARD_DEVIATION 5.9 | 68.2 years STANDARD_DEVIATION 6.7 | 68.5 years STANDARD_DEVIATION 6.3 |
| EEG | 0.77 decibles STANDARD_DEVIATION 1.85 | 1.67 decibles STANDARD_DEVIATION 2.27 | 1.33 decibles STANDARD_DEVIATION 2.02 |
| mCPT | 72.5 milliseconds STANDARD_DEVIATION 39.7 | 52.2 milliseconds STANDARD_DEVIATION 31.2 | 62.2 milliseconds STANDARD_DEVIATION 35.5 |
| Race and Ethnicity Not Collected | — | — | 0 Participants |
| Region of Enrollment United States | 24 participants | 25 participants | 49 participants |
| Sex: Female, Male Female | 13 Participants | 13 Participants | 26 Participants |
| Sex: Female, Male Male | 11 Participants | 12 Participants | 23 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk | EG002 affected / at risk | EG003 affected / at risk |
|---|---|---|---|---|
| deaths Total, all-cause mortality | 0 / 24 | 0 / 0 | 0 / 0 | 0 / 25 |
| other Total, other adverse events | 0 / 24 | 0 / 0 | 0 / 0 | 0 / 25 |
| serious Total, serious adverse events | 0 / 24 | 0 / 0 | 0 / 0 | 0 / 25 |
Outcome results
mCPT (Derived From Test of Variables of Attention (T.O.V.A.))
A change from baseline regarding measurement of sustained attention and impulsivity abilities
Time frame: At baseline and following the intervention (these data were collected no more than 1 week after intervention period ended, thus approximately 9 weeks after baseline data were collected)
Population: Due to logistical/practical consideration surrounding funding for this project, we were forced to only collect data for 2 gropus
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| BBT: Body-Brain Trainer | mCPT (Derived From Test of Variables of Attention (T.O.V.A.)) | 72.5 milliseconds | Standard Deviation 39.7 |
| Expectancy Matched Control Group | mCPT (Derived From Test of Variables of Attention (T.O.V.A.)) | 52.2 milliseconds | Standard Deviation 31.2 |
Delayed Recognition Working Memory Task: Response Time Variability Prior to and 9-weeks After Baseline
A change from baseline regarding measurement of working memory abilities in the presence of interference. This task involved memorizing a face for set amount of time, followed by a delay period (during which participants were exposed to different types of distracting images), followed by the presentation of an image that participants are cued to respond whether or not this image matches the initial one presented. Here we examined a version of response time variance derived from exGaussain Statistics called tau, that is a measure of response time variance that considers the tails on a Gaussian distribution with respect to response time variability. This analysis allows one to see how variant one's performance could be on trials that fall outside of their mean performance distribution.
Time frame: At baseline and following the intervention (these data were collected no more than 1 week after intervention period ended, thus approximately 9 weeks after baseline data were collected)
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| BBT: Body-Brain Trainer | Delayed Recognition Working Memory Task: Response Time Variability Prior to and 9-weeks After Baseline | 29.7 msec | Standard Deviation 14.1 |
| Body Trainer | Delayed Recognition Working Memory Task: Response Time Variability Prior to and 9-weeks After Baseline | 24.1 msec | Standard Deviation 10 |
Blood Pressure Measures
Assessing a change in systolic & diastolic pressure following the intervention
Time frame: At baseline and following the intervention (these data were collected no more than 1 week after intervention period ended, thus approximately 9 weeks after baseline data were collected)
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| BBT: Body-Brain Trainer | Blood Pressure Measures | 78.72 mmHG | Standard Deviation 5.25 |
| Body Trainer | Blood Pressure Measures | 76.23 mmHG | Standard Deviation 5.91 |
EEG Functional Measure (Event-related Spectral Perturbation)
Assessing a change in event-related spectral perturbation following the intervention
Time frame: At baseline and following the intervention (these data were collected no more than 1 week after intervention period ended, thus approximately 9 weeks after baseline data were collected)
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| BBT: Body-Brain Trainer | EEG Functional Measure (Event-related Spectral Perturbation) | .77 dB (decibles) | Standard Deviation 1.85 |
| Body Trainer | EEG Functional Measure (Event-related Spectral Perturbation) | 1.67 dB (decibles) | Standard Deviation 2.27 |
EEG Functional Measure (Long-range Coherence as Measured Via Phase Locking Values): Decibels Prior to and at 9 Weeks Post Baseline
Assessing a change in coherence following the intervention. This measure assesses the synchronization of neural activity between frontal and posterior regions of the brain, looking to quantify how coherent these signals are. For example, if the activity at the front of the head shows greater synchrony with activity at the back of the head, than this measure of interest would show a greater amount of coherence. Coherence of this type is reported in the form of phase locking value, which tells us how consistently the timing of those rhythms stay aligned across many repetitions of the same event. PLV close to 1 (or 100%) → very consistent timing, almost perfectly locked together, whereas PLV close to 0 → timing is random, no consistent relationship. PLVs are typically reported in decibels to facilitate seeing subtle changes, compare across conditions, and stay consistent with other brainwave measures.
Time frame: At baseline and following the intervention (these data were collected no more than 1 week after intervention period ended, thus approximately 9 weeks after baseline data were collected)
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| BBT: Body-Brain Trainer | EEG Functional Measure (Long-range Coherence as Measured Via Phase Locking Values): Decibels Prior to and at 9 Weeks Post Baseline | .24 Decibels | Standard Deviation 0.09 |
| Body Trainer | EEG Functional Measure (Long-range Coherence as Measured Via Phase Locking Values): Decibels Prior to and at 9 Weeks Post Baseline | .28 Decibels | Standard Deviation 0.09 |
Limit of Stability
Assessing a change in balance following the intervention
Time frame: At baseline and following the intervention (these data were collected no more than 1 week after intervention period ended, thus approximately 9 weeks after baseline data were collected)
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| BBT: Body-Brain Trainer | Limit of Stability | 3.88 meters/sec | Standard Deviation 1.34 |
| Body Trainer | Limit of Stability | 4.29 meters/sec | Standard Deviation 1.26 |