Decoding force production of skeletal muscle from the female brain using functional near-infrared spectroscopy
Abstract Objective Noninvasive neural decoding enables predicting motor output from neural activities without physically damaging the human body. A recent study demonstrated the applicability of functional near-infrared spectroscopy (fNIRS) to decode muscle force production from hemodynamic signals...
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Format: | Article |
Language: | English |
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BMC
2023-11-01
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Series: | BMC Research Notes |
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Online Access: | https://doi.org/10.1186/s13104-023-06588-5 |
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author | Hojeong Kim |
author_facet | Hojeong Kim |
author_sort | Hojeong Kim |
collection | DOAJ |
description | Abstract Objective Noninvasive neural decoding enables predicting motor output from neural activities without physically damaging the human body. A recent study demonstrated the applicability of functional near-infrared spectroscopy (fNIRS) to decode muscle force production from hemodynamic signals measured in the male brain. However, given the sex differences in cerebral blood flow and muscle physiology, whether the fNIRS approach can also be applied to the female brain remains elusive. Therefore, this study aimed to evaluate whether fNIRS can be used to identify the optimal cortical region and hemodynamic predictor to decode muscle force output in females. Results Statistical group analysis for eight healthy female adults showed that the cortical region for wrist control was topologically dorsal to that for finger control over the primary sensorimotor cortex. This cortical area was maximally activated while the wrist flexor muscles were contracted to hold a load on the subject’s palm, as was the case for males. However, the dynamics of oxyhemoglobin concentration measured from the most activated cortical area differed between females and males. The signal intensity during 100% maximal voluntary contraction and the signal increase rate at 50% maximal voluntary contraction was lower and faster in females. Eight predictors were used to characterize hemodynamic signals’ amplitude and temporal variation in the female cortex. Unlike the case for males, only the trajectory predictors for the amplitude of oxyhemoglobin concentration change were strongly correlated with the strengths of force produced by the wrist flexor muscles, showing a linear relationship. These results suggest gender-specific hemodynamics must be considered for decoding low-level motor control with fNIRS in females. |
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institution | Directory Open Access Journal |
issn | 1756-0500 |
language | English |
last_indexed | 2024-03-11T12:44:18Z |
publishDate | 2023-11-01 |
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spelling | doaj.art-00478991ae8947fd9685a689d91ba4a62023-11-05T12:06:43ZengBMCBMC Research Notes1756-05002023-11-011611610.1186/s13104-023-06588-5Decoding force production of skeletal muscle from the female brain using functional near-infrared spectroscopyHojeong Kim0Division of Biotechnology, Institute of Convergence Research, DGISTAbstract Objective Noninvasive neural decoding enables predicting motor output from neural activities without physically damaging the human body. A recent study demonstrated the applicability of functional near-infrared spectroscopy (fNIRS) to decode muscle force production from hemodynamic signals measured in the male brain. However, given the sex differences in cerebral blood flow and muscle physiology, whether the fNIRS approach can also be applied to the female brain remains elusive. Therefore, this study aimed to evaluate whether fNIRS can be used to identify the optimal cortical region and hemodynamic predictor to decode muscle force output in females. Results Statistical group analysis for eight healthy female adults showed that the cortical region for wrist control was topologically dorsal to that for finger control over the primary sensorimotor cortex. This cortical area was maximally activated while the wrist flexor muscles were contracted to hold a load on the subject’s palm, as was the case for males. However, the dynamics of oxyhemoglobin concentration measured from the most activated cortical area differed between females and males. The signal intensity during 100% maximal voluntary contraction and the signal increase rate at 50% maximal voluntary contraction was lower and faster in females. Eight predictors were used to characterize hemodynamic signals’ amplitude and temporal variation in the female cortex. Unlike the case for males, only the trajectory predictors for the amplitude of oxyhemoglobin concentration change were strongly correlated with the strengths of force produced by the wrist flexor muscles, showing a linear relationship. These results suggest gender-specific hemodynamics must be considered for decoding low-level motor control with fNIRS in females.https://doi.org/10.1186/s13104-023-06588-5Neural decodingCortical activationMuscle forceFemale brainfNIRS |
spellingShingle | Hojeong Kim Decoding force production of skeletal muscle from the female brain using functional near-infrared spectroscopy BMC Research Notes Neural decoding Cortical activation Muscle force Female brain fNIRS |
title | Decoding force production of skeletal muscle from the female brain using functional near-infrared spectroscopy |
title_full | Decoding force production of skeletal muscle from the female brain using functional near-infrared spectroscopy |
title_fullStr | Decoding force production of skeletal muscle from the female brain using functional near-infrared spectroscopy |
title_full_unstemmed | Decoding force production of skeletal muscle from the female brain using functional near-infrared spectroscopy |
title_short | Decoding force production of skeletal muscle from the female brain using functional near-infrared spectroscopy |
title_sort | decoding force production of skeletal muscle from the female brain using functional near infrared spectroscopy |
topic | Neural decoding Cortical activation Muscle force Female brain fNIRS |
url | https://doi.org/10.1186/s13104-023-06588-5 |
work_keys_str_mv | AT hojeongkim decodingforceproductionofskeletalmusclefromthefemalebrainusingfunctionalnearinfraredspectroscopy |