BOLD coherence reveals segregated functional neural interactions when adapting to distinct torque perturbations

Area of Science:

• Neuroscience
• Motor Control
• Cognitive Neuroscience

Background:

• The brain must adapt to diverse environmental challenges.
• Distinguishing between context-appropriate responses is crucial for neural circuits.
• Understanding neural mechanisms of adaptation to distinct perturbations is key.

Purpose of the Study:

• To investigate neural dynamics during adaptation to distinct motor perturbations.
• To differentiate neural processes for preparation versus adaptation.
• To explore how the brain learns arbitrary visuomotor associations.

Main Methods:

• Event-related functional magnetic resonance imaging (fMRI) during a target-capture task.
• Application of position- or velocity-dependent torque perturbations.
• Inclusion of "NoGo" trials to separate preparation from execution and adaptation.

Main Results:

• Subjects successfully reduced errors under both perturbation conditions.
• Reduced Blood-Oxygen-Level-Dependent (BOLD) signal observed in sensorimotor cortex, intraparietal sulcus, and dentate nucleus.
• Network-level analysis revealed differential BOLD coherence patterns for preparation and adaptation, indicating flexible network interactions.

Conclusions:

• Distinct adaptive motor responses are learned through differential functional interactions within common sensorimotor circuits.
• Response preparation relies on common network interactions for arbitrary visuomotor associations.
• Motor adaptation involves condition-specific network coherence focusing within cortical-basal ganglia or cortical-cerebellar networks.