Bluesky Facebook Reddit Email

Algorithm for predicting speech development

01.15.18 | Proceedings of the National Academy of Sciences

AmScope B120C-5M Compound Microscope

AmScope B120C-5M Compound Microscope supports teaching labs and QA checks with LED illumination, mechanical stage, and included 5MP camera.

Using MRI neuroanatomical data from 37 children who underwent cochlear implantation (CI) between 8-38 months of age, and 40 similarly matched children with normal hearing as well as speech recognition data obtained 6 months after CI, researchers identified brain regions affected by auditory deprivation and developed a machine learning algorithm that predicted the speech development of the CI participants following CI surgery, findings with potential implications for individuals with auditory deprivation.

Article #17-17603: "Neural preservation underlies speech improvement from auditory deprivation in young cochlear implant recipients," by Gangyi Feng et al.

MEDIA CONTACT: Nancy Young, Ann & Robert H. Lurie Children's Hospital of Chicago; tel: 773-251-5795; e-mail: < NYoung@luriechildrens.org >

###

Proceedings of the National Academy of Sciences

Keywords

Article Information

Contact Information

How to Cite This Article

APA:
Proceedings of the National Academy of Sciences. (2018, January 15). Algorithm for predicting speech development. Brightsurf News. https://www.brightsurf.com/news/LR5ZWRG8/algorithm-for-predicting-speech-development.html
MLA:
"Algorithm for predicting speech development." Brightsurf News, Jan. 15 2018, https://www.brightsurf.com/news/LR5ZWRG8/algorithm-for-predicting-speech-development.html.