Julie Hamaide1, Geert De Groof1, Johan Van Audekerke1, Marleen Verhoye1, and Annemie Van der Linden1
1Bio-Imaging Lab, University of Antwerp, Antwerp, Belgium
Synopsis
Vocal
learning in songbirds has until now mainly been studied by invasive methods
such as histology and molecular testing. Here we use in vivo Diffusion Tensor Imaging to map the structural development
of the zebra finch brain which might help unveil brain areas implicated in the
process of song learning and brain areas subject to a downregulation of
plasticity characterizing the end of the critical periods which results in song
crystallization.Purpose
Both humans and songbirds acquire
speech and song respectively, in a critical period early in development.
Interestingly, remarkable parallels can be found between the establishment of
these complex behaviors making songbirds, zebra finches in particular, a valid
and translational model to study aspects of human speech learning [1]. Zebra finches
learn their song during two well-defined partly-overlapping sensitive periods
early in development i.e. the sensory (20-40 days post hatching (dph); memorization
of tutor song) and sensorimotor phase (35-90 dph; trial-and-error practicing to
match own vocalizations to the tutor song). Until recently, zebra finch brain
development could only be studied by invasive methods such as histology and
molecular testing, which strictly impedes with the establishment of causal
relationships between a specific improvement in behavioral performance and the
underlying biological substrate. Here we use in vivo Diffusion Tensor Imaging (DTI) to establish a
spatiotemporal profile of structural brain changes which might help unveil
brain areas implicated in the process of song learning.
Methods
Juvenile
male (Taeniopygia guttata; n=16) and
female (n=18) zebra finches were scanned on a 7 T Bruker MR system, equipped
with a 400 mT/m gradient insert, at seven time points crucial for the process
of vocal learning i.e. at 20 (initiation sensory phase), 30 (mid sensory
phase), 40 (end sensory beginning sensorimotor phase), 65 (mid sensorimotor
phase), 90 (end sensorimotor phase), 120 (crystallization, adulthood) and 200 (‘advanced’
adulthood) dph. The birds were anaesthetized with isoflurane (induction 2.5%;
maintenance: 1.2-1.4%). Each imaging session consisted of a DTI scan (TR: 7000
ms; TE: 22 ms; δ: 4 ms; Δ: 12 ms; b: 670 s/mm²; 60 diffusion gradient
directions; spatial resolution: (0.19x0.19x0.24)cm³; 28 horizontal slices; 2
repetitions) followed by a T2-weighted 3D anatomical RARE (TR: 2500
ms; TE: 11 ms; RARE factor: 8; zerofilled to a matrix of (228x256x142) with
voxel resolution (0.07x0.07x0.07)cm³). Throughout the entire imaging procedure,
respiration rate and temperature were kept within narrow physiological ranges
(40.0 ± 0.2)°C. All datasets were spatially normalized to a population-based
template after which a whole-brain voxel-wise repeated measures ANOVA was
performed on the smoothed Fractional Anisotropy, Mean Diffusion, Axial
Diffusion and Radial Diffusion maps. The songs of juvenile male birds were
recorded the first two days after each imaging session starting from the 65 dph
time point so as to determine the exact phase of vocal learning and quantify
the similarity to the tutor song.
Results & Discussion
Figure
1 shows a statistical map illustrating the clusters which display a significant
change in fractional anisotropy over the different time points, in male zebra
finches. Clusters can be co-localized with several components of the song
control circuitry e.g. HVC (1), arcopallium
(including the robust nucleus of the arcopallium
(RA); 4) and tracts e.g. tractus
occipitomesencephalicus (OM; 6), lamina
mesopallialis (LaM; 3), lamina
frontalis superior (LFS; 2), Area X surroundings (5) etc. Closer
examination of the difference between sensory (20-30 dph) and sensorimotor
phase (40-65 dph) in male birds for FA, highlights several brain areas in
control of the motoric aspect of singing i.e. HVC, arcopallium (containing RA), the tractus OM which is the highway tract connecting the caudal motor
pathway (HVC-RA) to the syrinx (avian homologue of the larynx). This can be
related to the animals’ behavior: male birds only start to vocalize during the
sensorimotor phase. Consequently, the data suggest that while juvenile birds
are practicing and trying to match their vocalizations to the tutors’ song, the
brain circuitry underlying vocal motor production is being formed. Statistical
testing of the mean diffusion maps, shows two main clusters over time i.e. the
biggest changes are found between 20-30 dph and 40-65 dph (Fig. 2).
Interestingly, no significant changes in mean diffusion could be observed
between 30-40 dph and from 65 dph onwards. Fascinatingly, when comparing 20
versus 30 dph the peak difference of the cluster resembles the shape of Area X,
a brain region known to be involved in vocal exploration necessary for trial-and-error
learning.
Acknowledgements
This
research was supported by grants from the Hercules Foundation (Grant Nr
AUHA0012), Interuniversity Attraction Poles (IAP) (‘PLASTOCINE’: P7/17) and the
research foundation –Flanders (Grant Nr G044311N) to Annemie Van der Linden.
Julie Hamaide is a PhD student funded by the University of Antwerp, Geert De
Groof is a postdoctoral fellow supported by the Research Foundation –Flanders.References
[1]
Brainard and Doupe, 2013 Jul 8;36:489-517. doi:
10.1146/annurev-neuro-060909-152826.