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Valero-Cuevas, F. J.

Publications and source records attributed to Valero-Cuevas, F. J..

3 recordsLinked to original sources

Computational demonstration of spinal circuit that modulates γ-MN activity via α-MN collateral mitigates the inevitable disruptions from velocity-dependent stretch reflexes during voluntary movements

The primary motor cortex does not uniquely or directly produce alpha motoneurone (-MN) drive to muscles during voluntary movement. Rather, -MN drive emerges from the synthesis and competition among excitatory and inhibitory inputs from multiple descending tracts, spinal interneurons, sensory inputs, and proprioceptive afferents. One such fundamental input is velocity-dependent stretch reflexes in lengthening muscles, which should be inhibited to enable voluntary movement. It remains an open question, however, the extent to which unmodulated stretch reflexes disrupt voluntary movement, and whether and how they are inhibited in limbs with numerous multi-articular muscles. We used a computational model of a Rhesus Macaque arm to simulate movements with feedforward -MN commands only, and with added velocity-dependent stretch reflex feedback. We found that velocity-dependent stretch reflex caused movement-specific, typically large and variable disruptions to arm movements. These disruptions were greatly reduced when modulating velocity-dependent stretch reflex feedback (i) as per the commonly proposed (but yet to be clarified) idealized alpha-gamma (-{gamma}) co-activation or (ii) an alternative -MN collateral projection to homonymous{gamma} -MNs. We conclude that such -MN collaterals are a physiologically tenable, but previously unrecognized, propriospinal circuit in the mammalian fusimotor system. These collaterals could still collaborate with -{gamma} co-activation, and the few skeletofusimotor fibers ({beta}-MNs) in mammals, to create a flexible fusimotor ecosystem to enable voluntary movement. By locally and automatically regulating the highly nonlinear neuro-musculo-skeletal mechanics of the limb, these collaterals could be a critical low-level enabler of learning, adaptation, and performance via higher-level brainstem, cerebellar and cortical mechanisms. SignificanceMuscles have velocity sensors controlled by{gamma} -MNs that produce stretch reflexes which could disrupt voluntary limb movements. Whether and how severely those unmodulated stretch reflexes disrupt voluntary movement remains unclear, especially in realistic multi-articular limbs. Our neuromechanical simulations demonstrate that unmodulated stretch reflexes greatly disrupt movements. Modulating the stretch reflex by implementing an idealized version of a long-posited (but yet unclear) -{gamma} co-activation greatly mitigates those perturbations. However, a collateral from the -MN to the{gamma} -MN (which has been reported among motoneurones but not interpreted in this way) achieves similar functionality. Our results suggest this modulation of the intensity of the stretch reflex by the -MN collateral provides an effective mechanism to locally stabilize the disruptions from stretch reflexes.

neuroscience↗

The Bundles of Intercrossing Fibers of the Extensor Mechanism of the Fingers Greatly Influence the Transmission of Muscle Forces

The extensor mechanism is a tendinous structure that plays an important role in finger function. It transmits forces from several intrinsic and extrinsic muscles to multiple bony attachments along the finger via sheets of collagen fibers. The most important attachments are located at the base of the second and third phalanges (proximal and distal attachments, respectively). How the forces from the muscles contribute to the forces at the attachment points, however, is not fully known. In addition to the well-accepted medial and lateral bands, there exist two layers of intercrossing fiber bundles (superficial interosseous medial fiber layer and deeper extensor lateral fiber layer), connecting them. In contrast to its common idealization as a minimal network of distinct strings, we built a numerical model consisting of fiber bundles to evaluate the role of multiple intercrossing fibers in the production of static finger forces. We compared this more detailed model of the extensor mechanism to the idealized minimal network that only includes the medial and lateral bands. We find that including bundles of intercrossing fibers significantly affects force transmission, which itself depends on finger posture. In a mid-flexion posture (metacarpal joint MCP = 45{degrees}; proximal interphalangeal joint PIP = 45{degrees}; distal interphalangeal joint DIP = 10{degrees}) the force transmitted by the lateral fibers is 40% lower than in a more pronounced flexed posture (MCP = 90{degrees}; PIP = 90{degrees}; DIP = 80{degrees}). We conclude that the intercrossing fiber bundles -- traditionally left out in prior models since Zancollis simplification -- play an important role in force transmission and variation of the latter with posture.

bioengineering↗

Generalizability of foot-placement control strategies during unperturbed and perturbed gait

Control of foot placement is an essential strategy for maintaining balance during walking. During unperturbed, steady-state walking, foot placement can be accurately described as a linear function of the bodys center of mass state at midstance. However, it is uncertain if this mapping from center of mass state to foot placement generalizes to larger perturbations that may be more likely to cause falls. These perturbations may cause balance disturbances and generate reactive control strategies not observed during unperturbed walking. Here, we used unpredictable changes in treadmill speed to assess the generalizability of foot placement mappings identified during unperturbed walking. We found that foot placement mappings generalized poorly from unperturbed to perturbed walking and differed for forward versus backward perturbations. We also used singular value decomposition of the mapping matrix to reveal that people were more sensitive to backward versus forward perturbations. Together, these results indicate that control of foot placement during losses of balance differs from the control strategies used during unperturbed walking. Better characterization of human balance control strategies could improve our understanding of why different neuromotor disorders result in heightened fall risk and inform the design of controllers for balance-assisting devices.

bioengineering↗