A molecular genetic perspective on speech and language

Duration: 57 mins 59 secs
Share this media item:
Embed this media item:


About this item
Image inherited from collection
Description: Professor Simon Fisher, Max Planck Institute for Psycholinguistics, Nijmegen
 
Created: 2017-01-13 10:55
Collection: Cambridge Language Sciences
Language Sciences Annual Symposium 2016 - Exploring the Borders of Language and Science
Publisher: University of Cambridge
Copyright: J.A. Walsh
Language: eng (English)
 
Abstract: The rise of molecular technologies has yielded exciting new routes for studying the biological foundations of language. In particular, researchers have begun to identify genes implicated in neurodevelopmental disorders that disrupt speech and language skills. My talk will illustrate how such work can provide powerful entry points into critical neural pathways, using FOXP2 as an example. Rare mutations of this gene cause problems with learning to sequence mouth movements during speech, accompanied by wide-ranging deficits in language production and comprehension. FOXP2 encodes a regulatory protein, a hub in a network of other genes, several of which have also been associated with language-related impairments. Versions of FOXP2 are found in similar form in many vertebrate species; indeed, studies of animals and birds suggest it has conserved roles in the development and plasticity of certain sets of neural circuits. Thus, the contributions of this gene to human speech and language involve modifications of evolutionarily ancient functions. Searches for additional language-related genes are underway, taking advantage of dramatic advances in genomic methods. Overall, the FOXP2 story illustrates the value of an interdisciplinary approach for unravelling the complicated connections between genes, neurons, brain circuits and language.
Available Formats
Format Quality Bitrate Size
MPEG-4 Video 640x360    1.9 Mbits/sec 830.60 MB View Download
WebM 640x360    1.13 Mbits/sec 491.61 MB View Download
iPod Video 480x360    490.85 kbits/sec 208.46 MB View Download
MP3 44100 Hz 249.77 kbits/sec 106.20 MB Listen Download
Auto * (Allows browser to choose a format it supports)