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Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice
Published on: July 31, 2019
Lesions Involving Medial Anterior Forebrain Pathway Circuitry Destabilize Phrase Timing in Adult Canary Song
M R Hulsey-Vincent1,2, G Vengrovski1,2, E Sova1,2
1Institute of Neuroscience and Department of Biology, University of Oregon; Eugene, OR, USA.
Abstract:
Basal ganglia-thalamocortical circuits are essential for learning complex motor sequences, yet how they control flexible motor behavior remains poorly understood. The homologous songbird Anterior Forebrain Pathway (AFP) drives song motor learning and was previously thought not to play a role in song performance, as early lesions showed no effect. This perspective has recently been revised by evidence that the AFP influences song syntax in some species. We revisit this question in adult canaries by performing bilateral excitotoxic lesions targeting the lateral and medial subdivisions of the AFP. To measure behavioral changes, we developed a high-throughput song-annotation pipeline that incorporates a supervised classifier into the self-supervised TweetyBERT model. This removed the memory bottleneck of UMAP clustering, enabling phrase-level analysis across thousands of songs per bird. We find that lesions involving the medial AFP produce a stuttering-like behavior, defined here as prolonged, variable syllable repetition before transitions, resulting in a significant increase in phrase-duration variability. This effect was strongest in birds with medial and lateral AFP lesions, and was not observed in birds with lateral-only AFP lesions. The increased variability persisted throughout the post-lesion recording period and was accompanied by small changes in the acoustic structure of syllables. Our results implicate the medial AFP in the ongoing control of phrase duration in adult canary song, challenging the view that the AFP is dispensable once song is learned. These findings position the medial AFP as a tractable model for understanding how basal ganglia and cortical dynamics maintain complex learned motor sequences.

