DTA

Archivio Digitale delle Tesi e degli elaborati finali elettronici

 

Tesi etd-10052025-174336

Tipo di tesi
Corso Ordinario Secondo Livello
Autore
COLACRAI, FRANCESCA
URN
etd-10052025-174336
Titolo
Characterizing Cortico-Muscular Coherence in a Subject with Cervical SCI Implanted with ECoG
Struttura
Classe Scienze Sperimentali
Corso di studi
INGEGNERIA - INGEGNERIA
Commissione
Tutor Prof. CIUTI, GASTONE
Relatore Prof. MICERA, SILVESTRO
Presidente Prof. SECONDINI, MARCO
Membro Dott. FUNARI, RICCARDO
Membro Dott. grossi, tommaso
Membro Prof. BUTTAZZO, GIORGIO CARLO
Membro Prof. FRISOLI, ANTONIO
Membro Prof. FORESTIERI, ENRICO
Membro Prof. CONTESTABILE, GIAMPIERO
Membro Prof. DI PASQUALE, FABRIZIO CESARE FILIPPO
Membro Prof. FONTANA, MARCO
Membro Prof. CASTOLDI, PIERO
Membro Dott.ssa ruscelli, anna lina
Membro Prof.ssa IACOVACCI, VERONICA
Membro Prof. AVIZZANO, CARLO ALBERTO
Parole chiave
  • Cortico-Muscular Coherence (CMC)
  • Electrocorticography (ECoG)
  • Electromyography (EMG)
  • hybrid BCI
  • Motor Control
  • Neurorehabilitation
Data inizio appello
12/12/2025;
Disponibilità
completa
Riassunto analitico
Understanding how cortical activity couples with peripheral muscle output is essential for motor decoding, neuroprosthetic development, and neurorehabilitation. While electrocorticography provides a broader data spectrum than electroencephalography, cortico-muscular coherence remains under-explored in this context. Cortico-muscular coherence reflects both motor execution and imagery and can serve as a biomarker for partial recovery in rehabilitation settings. Dual-task studies further reveal how motor imagery modulates cortical activity during execution, ultimately impacting cortico-muscular coherence, with implications for motor learning and clinical monitoring.
This study investigates how electrocorticography and electromyography signals reflect the temporal, spectral, and spatial organization of cortico-muscular coupling during motor execution, motor imagery, and combined tasks. Wireless epidural electrocorticography and surface electromyography data were collected from an incomplete tetraplegic patient performing several movements. After rigorous preprocessing and artifact removal, temporal waveforms, spectral power modulations, and frequency-specific cortico-muscular coherence were quantified across primary motor and somatosensory regions.

Results show that dual-task conditions preserve temporal signal structure while slightly attenuating amplitude compared to execution alone. Spectral analyses reveal robust movement-related modulations, with significant cortico-muscular coupling emerging primarily during execution, with reduced but detectable coherence during combined tasks, including both execution and imagery. Task-dependent cortico-muscular coherence variationd across frequency bands indicate both motor and sensory contributions to movement control.

Altogether, the findings demonstrate that motor imagery modulates cortico-muscular communication, without disrupting it. This provides new insight into the neural mechanisms underlying hybrid motor behaviours. These results highlight the potential of cortico-muscular coherence as a tool not only for understanding hybrid motor behaviors but also for monitoring rehabilitation and guiding motor-decoding strategies and hybrid BCIs integrating execution and imagery.
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