This thesis investigates the neural and behavioral mechanisms underlying covert motor processes, building on a well-established body of research on motor imagery, motor preparation, and action observation. Traditional methods have primarily relied on the 1 muscle × 1 action (1m1a) approach, in which transcranial magnetic stimulation (TMS) is applied to the motor cortex and motor-evoked potentials (MEPs) are recorded from a single target muscle. While informative, this method reduces complex motor representations to isolated joints displacements, neglects intermuscular interactions, and overlooks single-trial variability. To overcome these limitations, the thesis introduces the MultiMEP approach, which records MEPs simultaneously from multiple muscles and applies decoding techniques inspired by multivoxel pattern analysis (MVPA). This method captures distributed patterns of corticospinal activity, providing a more ecologically valid and multidimensional perspective on covert motor processes. The experimental studies discussed in this thesis, demonstrate the effectiveness of MultiMEP in decoding different ecological actions during both motor imagery and motor preparation tasks, with accuracies significantly above chance. Eventually, the thesis also examines the effect of visuomotor training on action observation which at the behavioral level is reflected in automatic imitation, particularly its modulation through counter-imitative training. Results challenge standard interpretations of sensorimotor contingency accounts, suggesting greater flexibility in how experience shapes motor representations. Together, these findings highlight both methodological and theoretical contributions for understanding, through other perspectives, motor cognition.

EXPLORING COVERT MOTOR PROCESSES: BEHAVIORAL INSIGHTS AND INNOVATIVE APPLICATIONS OF TRANSCRANIAL MAGNETIC STIMULATION

GENOVESE, FRANCESCA
2026

Abstract

This thesis investigates the neural and behavioral mechanisms underlying covert motor processes, building on a well-established body of research on motor imagery, motor preparation, and action observation. Traditional methods have primarily relied on the 1 muscle × 1 action (1m1a) approach, in which transcranial magnetic stimulation (TMS) is applied to the motor cortex and motor-evoked potentials (MEPs) are recorded from a single target muscle. While informative, this method reduces complex motor representations to isolated joints displacements, neglects intermuscular interactions, and overlooks single-trial variability. To overcome these limitations, the thesis introduces the MultiMEP approach, which records MEPs simultaneously from multiple muscles and applies decoding techniques inspired by multivoxel pattern analysis (MVPA). This method captures distributed patterns of corticospinal activity, providing a more ecologically valid and multidimensional perspective on covert motor processes. The experimental studies discussed in this thesis, demonstrate the effectiveness of MultiMEP in decoding different ecological actions during both motor imagery and motor preparation tasks, with accuracies significantly above chance. Eventually, the thesis also examines the effect of visuomotor training on action observation which at the behavioral level is reflected in automatic imitation, particularly its modulation through counter-imitative training. Results challenge standard interpretations of sensorimotor contingency accounts, suggesting greater flexibility in how experience shapes motor representations. Together, these findings highlight both methodological and theoretical contributions for understanding, through other perspectives, motor cognition.
26-gen-2026
Inglese
SINIGAGLIA, CORRADO
SINIGAGLIA, CORRADO
BARCHIESI, GUIDO
Università degli Studi di Milano
Dipartimento di Filosofia "Piero Martinetti" - Sala Piero Martinetti - Via Festa del Perdono 7, 20161, Milano
111
File in questo prodotto:
File Dimensione Formato  
phd_unimi_R13676.pdf

accesso aperto

Licenza: Creative Commons
Dimensione 7.88 MB
Formato Adobe PDF
7.88 MB Adobe PDF Visualizza/Apri

I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/355829
Il codice NBN di questa tesi è URN:NBN:IT:UNIMI-355829