Academic Journal
Multivariate stochastic volatility modeling of neural data
| العنوان: | Multivariate stochastic volatility modeling of neural data |
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| المؤلفون: | Phan, Tung D, Wachter, Jessica A, Solomon, Ethan A, Kahana, Michael J |
| المساهمون: | Defense Advanced Research Projects Agency |
| المصدر: | eLife ; volume 8 ; ISSN 2050-084X |
| بيانات النشر: | eLife Sciences Publications, Ltd |
| سنة النشر: | 2019 |
| المجموعة: | eLife (E-Journal - via CrossRef) |
| الوصف: | Because multivariate autoregressive models have failed to adequately account for the complexity of neural signals, researchers have predominantly relied on non-parametric methods when studying the relations between brain and behavior. Using medial temporal lobe (MTL) recordings from 96 neurosurgical patients, we show that time series models with volatility described by a multivariate stochastic latent-variable process and lagged interactions between signals in different brain regions provide new insights into the dynamics of brain function. The implied volatility inferred from our process positively correlates with high-frequency spectral activity, a signal that correlates with neuronal activity. We show that volatility features derived from our model can reliably decode memory states, and that this classifier performs as well as those using spectral features. Using the directional connections between brain regions during complex cognitive process provided by the model, we uncovered perirhinal-hippocampal desynchronization in the MTL regions that is associated with successful memory encoding. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.7554/elife.42950 |
| الاتاحة: | http://dx.doi.org/10.7554/elife.42950 https://cdn.elifesciences.org/articles/42950/elife-42950-v2.pdf https://cdn.elifesciences.org/articles/42950/elife-42950-v2.xml https://elifesciences.org/articles/42950 |
| Rights: | http://creativecommons.org/licenses/by/4.0/ ; http://creativecommons.org/licenses/by/4.0/ ; http://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: | edsbas.ED81A82F |
| قاعدة البيانات: | BASE |
| DOI: | 10.7554/elife.42950 |
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