Experience selectively alters functional connectivity within a neural network to predict learned behavior in juvenile songbirds

NeuroImage

Huibo Li¹  Sarah E. London²  Elliot A. Layden²  Kathryn E. Schertz²  Marc G. Berman² 

[1] Corresponding author.;Department of Psychology, The University of Chicago, Chicago, IL 60637 USA;

关键词: Neural plasticity;    Critical period;    Zebra finch;    Songbird;    Auditory forebrain;    Song learning;   

DOI  :  

来源: DOAJ

【 摘 要 】

One of the central questions of neuroethology is how specialized brain areas communicate to form dynamic networks that support complex cognitive and behavioral processes. Developmental song learning in the male zebra finch songbird (Taeniopygia guttata) provides a unique window into the complex interplay among sensory, sensorimotor, and motor network nodes. The foundation of a young male's song structure is the sensory memory he forms during interactions with an adult ''tutor.'' However, even in the absence of tutoring, juveniles produce a song-like behavior. Thus, by controlling a juvenile male's tutor exposure, we can examine how tutor experience affects distributed neural networks and how network properties predict behavior. Here, we used longitudinal, resting-state fMRI (rs-fMRI) functional connectivity (FC) and song analyses to examine known nodes of the song network, and to allow discovery of additional areas functionally related to song learning. We present three major novel findings. First, tutor deprivation significantly reduced the global FC strength of the caudomedial nidopallium (NCM) subregion of the auditory forebrain required for sensory song learning. Second, tutor deprivation resulted in reduced FC between NCM and cerebellar lobule VI, a region analogous to areas that regulate limbic, social, and language functions in humans. Third, NCM FC strength predicted song stereotypy and mediated the relationship between tutoring and stereotypy, thus completing the link between experience, neural network properties, and complex learned behavior.

【 授权许可】

Unknown