Key result
fNIRS shows promise for monitoring cortical hemodynamics to individualize exercise prescriptions.
Why the study?
Exact knowledge about optimal exercise prescriptions in exercise-cognition science is lacking, and the most suitable indicators of internal load have yet to be determined.
Functional near-infrared spectroscopy (fNIRS) may provide valuable brain-derived parameters to individualize exercise prescriptions for cognitive health.
May support brain-guided exercise dosing for cognition; hypothesis-generating and requires prospective validation before practice change.
In the literature, it is well established that regular physical exercise is a powerful strategy to promote brain health and to improve cognitive performance. However, exact knowledge about which exercise prescription would be optimal in the setting of exercise-cognition science is lacking. While there is a strong theoretical rationale for using indicators of internal load (e.g., heart rate) in exercise prescription, the most suitable parameters have yet to be determined. In this perspective article, we discuss the role of brain-derived parameters (e.g., brain activity) as valuable indicators of internal load which can be beneficial for individualizing the exercise prescription in exercise-cognition research. Therefore, we focus on the application of functional near-infrared spectroscopy (fNIRS), since this neuroimaging modality provides specific advantages, making it well suited for monitoring cortical hemodynamics as a proxy of brain activity during physical exercise.
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Herold et al. (2020) conducted a review in Exercise-cognition science. Functional near-infrared spectroscopy (fNIRS) was evaluated. Functional near-infrared spectroscopy (fNIRS) can be a valuable tool for monitoring cortical hemodynamics as a proxy of brain activity to individualize exercise prescription.
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