Study confirms genetic link in cerebral palsy — ScienceDaily

An international research team including the University of Adelaide has found further evidence that rare gene mutations can cause cerebral palsy, findings which could lead to earlier diagnosis and new treatments for this devastating movement disorder.

In the study published in the journal Nature Genetics researchers employed gene sequencing to examine the DNA of 250 cerebral palsy families, and compared this to a control group of almost 1800 unaffected families. They then demonstrated the impact rare gene mutations can have on movement control using a fruit fly model.

The findings have important clinical implications. They will provide some answers to parents, as well as guide healthcare and family planning such as counselling for recurrence risk — often quoted as around 1 per cent but could be as high as 10 per cent when factoring in genetic risks.

Co-author of the research, Emeritus Professor Alastair MacLennan, AO, at the University of

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Billboard Japan & NTT Data’s Joint Research Predicts Future Hits From Chart Data & Cerebral Information

Billboard Japan and NTT Data/NTT Data Institute of Management Consulting (NTT Data/IMC) partnered on a new project that combines the former’s chart data and the latter’s neuroscientific technology to develop a new way to analyze music trends.

Billboard Japan’s Hot 100 song chart is based on a weighted formula incorporating eight metrics such as CD sales, downloads, streams and Twitter mentions. NTT Data/IMC is a pioneer in the advancement of the brain information business, in part through its development of the “NeuroAI” that predicts the cerebral activity and perceptual content of people viewing moving images. The underlying technology of NeuroAI was adopted by this year’s AAAI Conference on Artificial Intelligence (AAAI-20).

The collaborative project used technology called “NeuroAI-Music” that simulates the cerebral activity of people listening to music. NeuroAI-Music succeeded in estimating and characterizing the cerebral activity per second of music from audio signals, making it possible to quantitatively extract

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