A human-specific genetic modifier reconfigures large-scale cortical network dynamics underlying behavioral...

Area of Science:

• Neuroscience
• Evolutionary Biology
• Genetics

Background:

• Human brain evolution involved cortical expansion and altered connectivity.
• The functional impact of these architectural changes on network computation remains unclear.

Purpose of the Study:

• To investigate how modified cortical architecture affects network dynamics during learning.
• To understand the role of the human-specific gene SRGAP2C in reshaping brain networks.

Main Methods:

• Utilized a mouse model engineered to express SRGAP2C.
• Assessed network dynamics during a sensory discrimination learning task.
• Analyzed interhemispheric correlations, task-relevant encoding, and regional influences.

Main Results:

• SRGAP2C expression led to broader interhemispheric correlation and distributed task encoding.
• Enhanced directed influence from frontal and associative regions was observed.
• Texture representations in sensory cortex became more separable during motor preparation, improving discrimination.

Conclusions:

• Human-specific cortical architecture reconfigures, rather than scales, network dynamics.
• These changes support sensory-to-motor transformations critical for demanding tasks.
• Genomic innovations in Homo lineage are linked to large-scale cortical network function.