Effective connectivity associated with auditory error detection in musicians with absolute pitch

Area of Science:

• Neuroscience
• Auditory Perception
• Music Cognition

Background:

• Absolute pitch (AP) enables precise pitch identification without external cues.
• Understanding vocal control variations requires studying diverse pitch abilities.
• Musicians with relative pitch (RP) and AP possess enhanced pitch processing skills compared to non-musicians.

Purpose of the Study:

• To investigate effective brain connectivity differences in auditory feedback processing for pitch perturbation.
• To compare neural networks involved in pitch error detection and correction among musicians with AP, RP, and non-musicians.

Main Methods:

• Dynamic Causal Modeling (DCM) was used to analyze event-related potential (ERP) responses.
• Effective connectivity was modeled within a network including superior temporal gyrus (STG), primary motor cortex (M1), and premotor cortex (PM).
• Nine models were compared focusing on STG involvement in pitch error detection/correction.

Main Results:

• AP musicians demonstrated significant left-to-right STG connection modulation for self-voice error identification and sensory-motor integration.
• Reduced connectivity between the left premotor cortex (PM) and STG was observed in both AP and RP musicians compared to controls.
• These findings suggest enhanced right-hemisphere pitch processing in individuals with superior pitch abilities.

Conclusions:

• Musicians with enhanced pitch abilities, particularly AP, exhibit specialized neural networks for auditory error detection and correction.
• Modulation of STG connectivity is crucial for accurate self-voice pitch monitoring.
• Reduced left PM-STG connectivity may facilitate more efficient pitch identification processes in the right hemisphere for musicians.