Dynamic Mapping of the Human Brain by Time-Resolved NIRS Techniques

Liebert, Adam; Kacprzak, Michał; Milej, Daniel; Becker, Wolfgang; Gerega, Anna; Sawosz, Piotr; Maniewski, Roman

doi:10.1007/978-3-319-14929-5_17

Cited by 1 publication

(4 citation statements)

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“…This design choice is aligned with the principles of cerebral lateralization and aims to enhance the visibility of neural changes during the motor learning process, thereby providing critical insights for optimizing TMS therapeutic strategies in stroke patients (Kim et al., 2020). Utilizing the nondominant hand minimizes the variability introduced by participants’ prior skills and experiences, which can differ substantially when using the dominant hand (Ghilardi et al., 2000; Liebert et al., 2015).…”

Section: Methodsmentioning

confidence: 99%

“…Utilizing the nondominant hand minimizes the variability introduced by participants' prior skills and experiences, which can differ substantially when using the dominant hand (Ghilardi et al, 2000;Liebert et al, 2015).…”

Section: Motor Learning and Assessment Task Designmentioning

confidence: 99%

“…This not only allows us to discern the nuances in neural involvement contingent on task intricacy but also offers a broader perspective on how the brain orchestrates its resources across varying challenges. We hypothesize that stages such as rapid learning, consolidation, and stable performance will exhibit distinct cortical activation patterns, based on principles of cerebral lateralization and previous studies that have shown variable activation in different brain regions during motor learning (Ghilardi et al., 2000; Liebert et al., 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Drawing inspiration from previous studies that underscore the importance of prolonged observational periods (Carey et al., 2005; Park et al., 2022), our approach is tailored to study right‐handed individuals as they perform tasks using their nondominant hand. This specific design choice not only harmonizes with the principles of cerebral lateralization but also aims to enhance the visibility of neural changes during the motor learning process (Liebert et al., 2015; Ruddy & Carson, 2013). Guided by prior studies that have highlighted variable brain region activations during motor learning (Ghilardi et al., 2000), we hypothesize that distinct stages—rapid learning, consolidation, and stable performance—will be characterized by unique cortical activation patterns.…”

Section: Introductionmentioning

confidence: 99%

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Neural correlates of fine motor grasping skills: Longitudinal insights into motor cortex activation using fNIRS

Li,

Jin,

Zhang

et al. 2024

Brain and Behavior

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BackgroundMotor learning is essential for performing specific tasks and progresses through distinct stages, including the rapid learning phase (initial skill acquisition), the consolidation phase (skill refinement), and the stable performance phase (skill mastery and maintenance). Understanding the cortical activation dynamics during these stages can guide targeted rehabilitation interventions.MethodsIn this longitudinal randomized controlled trial, functional near‐infrared spectroscopy was used to explore the temporal dynamics of cortical activation in hand‐related motor learning. Thirty‐one healthy right‐handed individuals were randomly assigned to perform either easy or intricate motor tasks with their non‐dominant hand over 10 days. We conducted 10 monitoring sessions to track cortical activation in the right hemisphere (according to lateralization principles, the primary hemisphere for motor control) and evaluated motor proficiency concurrently.ResultsThe study delineated three stages of nondominant hand motor learning: rapid learning (days 1 and 2), consolidation (days 3–7), and stable performance (days 8–10). There was a power‐law enhancement of motor skills correlated with learning progression. Sustained activation was observed in the supplementary motor area (SMA) and parietal lobe (PL), whereas activation in the right primary motor cortex (M1R) and dorsolateral prefrontal cortex (PFCR) decreased. These cortical activation patterns exhibited a high correlation with the augmentation of motor proficiency.ConclusionsThe findings suggest that early rehabilitation interventions, such as transcranial magnetic stimulation and transcranial direct current stimulation (tDCS), could be optimally directed at M1 and PFC in the initial stages. In contrast, SMA and PL can be targeted throughout the motor learning process. This research illuminates the path for developing tailored motor rehabilitation interventions based on specific stages of motor learning.NEW and NOTEWORTHYIn an innovative approach, our study uniquely combines a longitudinal design with the robustness of generalized estimating equations (GEEs). With the synergy of functional near‐infrared spectroscopy (fNIRS) and the Minnesota Manual Dexterity Test (MMDT) paradigm, we precisely trace the evolution of neural resources during complex, real‐world fine‐motor task learning. Centering on right‐handed participants using their nondominant hand magnifies the intricacies of right hemisphere spatial motor processing. We unravel the brain's dynamic response throughout motor learning stages and its potent link to motor skill enhancement. Significantly, our data point toward the early‐phase rehabilitation potential of TMS and transcranial direct current stimulation on the M1 and PFC regions. Concurrently, SMA and PL appear poised to benefit from ongoing interventions during the entire learning curve. Our findings carve a path for refined motor rehabilitation strategies, underscoring the importance of timely noninvasive brain stimulation treatments.

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Section: Methodsmentioning

confidence: 99%

Section: Motor Learning and Assessment Task Designmentioning

confidence: 99%