Catching Brainwaves as we Speak: The Prediction of Physiology for Medicine and More
Duration: 33 mins 23 secs
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| Description: | Talk by Dr Tristan Bekinschtein, University of Cambridge, on the future of brain imaging in personalised medicine. |
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| Created: | 2017-10-09 13:15 | ||
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| Collection: | PEDAL Centre | ||
| Publisher: | University of Cambridge | ||
| Copyright: | Dr Tristan Bekinschtein | ||
| Language: | eng (English) | ||
| Distribution: |
World
(downloadable)
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| Keywords: | Personalised Medicine; EEG; Individual Differences; PEDAL; Tristan Bekinschtein; | ||
| Credits: |
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| Explicit content: | No | ||
| Aspect Ratio: | 16:9 | ||
| Screencast: | Yes | ||
| Bumper: | UCS Default | ||
| Trailer: | UCS Default | ||
| Abstract: | Modern medicine uses knowledge about the patient to take decisions on diagnosis, prognosis and treatment. The development of personalized medicine, a 2.0 version of this old practice, is gaining momentum and direct dynamical brain methods (i.e. EEG) should keep up and become complementary to those state or trait aspects of physiology (allelic variance, proteome). EEG, a portable, cheap and well-developed technique to measure brain activity, is suitable to fulfil the needs of predictive medicine. I will be presenting research where EEG guides clinical and health decisions using the variability between people as a strength rather than a problem. I will also claim that it is in that variance that we will find the forte to understand underlying mechanisms of thought. |
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