Oscar Alexis Becerra Casillas

Dr. Oscar Alexis Becerra Casillas

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 August 2025 in Neuroscience
Verified
Journal Article
Closed access
OCOscar Alexis Becerra Casillas
Oscar Alexis Becerra Casillas
KDKaren Alejandra Diaz-Lozano
Karen Alejandra Diaz-Lozano
HGHannia Melissa Galvan-Guerrero
Hannia Melissa Galvan-Guerrero
NHNayeli Huidobro
Nayeli Huidobro
RRRebeca Romo-Vazquez
Rebeca Romo-Vazquez
BTBraniff de la Torre-Valdovinos
Braniff de la Torre-Valdovinos

21 November 2025 in Physiology & Behavior
Verified
Journal Article
Closed access
KDKaren Alejandra Díaz-Lozano
Karen Alejandra Díaz-Lozano
OCOscar Alexis Becerra Casillas
Oscar Alexis Becerra Casillas
NHNayeli Huidobro
Nayeli Huidobro
FLFrancisco Joel Cervantes Lozano
Francisco Joel Cervantes Lozano
David Ignacio Serrano-GarcíaDavid Ignacio Serrano-García
David Ignacio Serrano-García
BTBraniff de la Torre-Valdovinos
Braniff de la Torre-Valdovinos

26 January 2026 in NeuroSci
Verified
Journal Article
Open access
PDF file
OCOscar Alexis Becerra Casillas
Oscar Alexis Becerra Casillas
KDKaren Alejandra Diaz-Lozano
Karen Alejandra Diaz-Lozano
MVMario Treviño Villegas
Mario Treviño Villegas
LOLaura Paulina Osuna-Carrasco
Laura Paulina Osuna-Carrasco
BTBraniff de la Torre-Valdovinos
Braniff de la Torre-Valdovinos
Voluntary movement arises from a sequence of neural processes that involve planning, preparation, and execution within distributed cortical networks. The readiness potential, a slow negative brain signal preceding self-initiated actions, represents a sensitive indicator of motor preparation. However, it remains unclear how this signal reflects concurrent variations in mechanical and temporal demands. In this study, twenty-eight healthy participants performed self-paced elbow flexions under nine combinations of mechanical load and movement duration while brain electrical activity, muscle activity, and movement kinematics were simultaneously recorded. Linear mixed-effects analyses revealed that the amplitude of the readiness potential increased progressively with greater mechanical load, indicating that cortical readiness scales with the intensity of preparatory effort. In contrast, longer movement durations produced smaller amplitudes, suggesting that extended temporal windows reduce the efficiency of preparatory synchronization. No significant interaction between load and duration was observed, supporting the idea of partially independent neural mechanisms for effort and timing. These findings identify the readiness potential as a neural marker integrating the energetic and temporal dimensions of voluntary movement and provide a basis for understanding how cortical readiness dynamically optimizes human motor performance.

30 October 2025 in Preprints.org
Verified
Preprint
Open access
PDF file
OCOscar Alexis Becerra Casillas
Oscar Alexis Becerra Casillas
KDKaren Alejandra Diaz-Lozano
Karen Alejandra Diaz-Lozano
MVMario Treviño Villegas
Mario Treviño Villegas
LOLaura Paulina Osuna-Carrasco
Laura Paulina Osuna-Carrasco
BTBraniff de la Torre-Valdovinos
Braniff de la Torre-Valdovinos
Voluntary movement arises from a sequence of neural processes that involve planning, preparation, and execution within distributed cortical networks. The readiness potential, a slow negative brain signal preceding self-initiated actions, represents a sensitive indicator of motor preparation. However, it remains unclear how this signal reflects concurrent variations in mechanical and temporal demands. In this study, twenty-eight healthy participants performed self-paced elbow flexions under nine combinations of mechanical load and movement duration while brain electrical activity, muscle activity, and movement kinematics were simultaneously recorded. Linear mixed-effects analyses revealed that the amplitude of the readiness potential increased progressively with greater mechanical load, indicating that cortical readiness scales with the intensity of preparatory effort. In contrast, longer movement durations produced smaller amplitudes, suggesting that extended temporal windows reduce the efficiency of preparatory synchronization. No significant interaction between load and duration was observed, supporting the idea of partially independent neural mechanisms for effort and timing. These findings identify the readiness potential as a neural marker integrating the energetic and temporal dimensions of voluntary movement and provide a basis for understanding how cortical readiness dynamically optimizes human motor performance.