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de Freitas, R. M.

Publications and source records attributed to de Freitas, R. M..

2 recordsLinked to original sources

Mapping the Causal Roles of Non-Primary Motor Areas in Human Reach Planning and Execution

Non-primary motor areas, including the dorsal premotor cortex (PMd), ventral premotor cortex (PMv), and posterior parietal cortex (PPC), are involved in movement planning, but their precise contributions remain unclear. We used functional magnetic resonance imaging (fMRI), transcranial magnetic stimulation (TMS), and kinematic assessments to explore how these areas influence reaching performance in neurologically intact adults. Participants performed a reaching task using the KINARM exoskeleton robot. Brief TMS pulse trains were initiated before movement onset to perturb cortical activity at subthreshold and suprathreshold intensities targeting bilateral PMd, PMv, and PPC. Subthreshold stimulation of contralateral PMd and PMv reduced reach efficiency and smoothness, while suprathreshold stimulation of contralateral PPC increased deviation error and reduced smoothness. Among ipsilateral targets, PMd showed consistent TMS-induced effects, and was the only target where resting-state connectivity predicted behavioral response. Stronger interhemispheric connectivity in the primary motor cortex and weaker interhemispheric PPC connectivity were associated with greater reductions in straightness and smoothness during subthreshold ipsilateral PMd stimulation. These findings show that perturbation of premotor and parietal areas during early movement execution alters reach trajectories, and differences in network organization explain variability in behavioral response. Identifying contributions of cortical areas and connectivity patterns may help personalize interventions after stroke. This study was registered at ClinicalTrials.gov under ID NCT04286516.

bioengineering↗

Preferential activation of proprioceptive and cutaneous sensory fibers compared to motor fibers during cervical transcutaneous spinal cord stimulation: A computational study

ObjectiveCervical transcutaneous spinal cord stimulation (tSCS) is a promising technology that can support motor function recovery of upper-limbs after spinal cord injury. Its efficacy may depend on the ability to recruit sensory afferents and convey excitatory inputs onto motoneurons. Therefore, understanding its physiological mechanisms is critical to accelerate its development towards clinical applications. In this study, we used an anatomically realistic computational model of the cervical spine to compare -motor, A-sensory, and A{beta}-sensory fiber activation thresholds and activation sites. ApproachWe developed a tridimensional geometry of the cervical body and tSCS electrodes with a cathode centred at the C7 spinous process and an anode placed over the anterior neck. The geometrical model was used to estimate the electric potential distributions along motor and sensory fiber trajectories at the C7 spinal level using a finite element method. We implemented dedicated motor and sensory fiber models to simulate the -motor and A-sensory fibers using 12, 16, and 20 m diameter fibers, and A{beta}-sensory fibers using 6, 9, and 12 m diameter fibers. We estimated nerve fiber activation thresholds and sites for a 2 ms monophasic stimulating pulse and compared them across the fiber groups. Main resultsOur results showed lower activation thresholds of A- and A{beta}-sensory fibers compared with -motor fibers, suggesting preferential sensory fiber activation. We also found no differences between activation thresholds of A-sensory and large A{beta}-sensory fibers, implying they were co-activated. The activation sites were located at the dorsal and ventral root levels. SignificanceUsing a realistic computational model, we demonstrated preferential activation of dorsal root A- and A{beta}-sensory fibers compared with ventral root -motor fibers during cervical tSCS. These findings suggest high proprioceptive and cutaneous contributions to neural activations during cervical tSCS, which inform the underlying mechanisms of upper-limb functional motor recovery.

neuroscience↗