Hierarchical Organization of Frontotemporal Networks for the Prediction of Stimuli across Multiple Dimensions
| Autor: | Phillips, Holly N., Blenkmann, Alejandro Omar, Hughes, Laura E., Bekinschtein, Tristán Andrés, Rowe, James B. |
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| Přispěvatelé: | Phillips, Holly N [0000-0003-1172-391X], Apollo - University of Cambridge Repository |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
magnetoencephalography
Adult Male CIENCIAS MÉDICAS Y DE LA SALUD Adolescent Mismatch negativity Neurociencias Models Neurological Young Adult Humans dynamic causal modeling prediction and prediction error Magnetoencephalography Brain Bayes Theorem Signal Processing Computer-Assisted purl.org/becyt/ford/3.1 [https] Medicina Básica Acoustic Stimulation Dynamic causal modeling mismatch negativity Evoked Potentials Auditory purl.org/becyt/ford/3 [https] Female Nerve Net Prediction and prediction error |
| Zdroj: | CONICET Digital (CONICET) Consejo Nacional de Investigaciones Científicas y Técnicas instacron:CONICET |
| Popis: | Brain function can be conceived as a hierarchy of generative models that optimizes predictions of sensory inputs and minimizes “surprise.” Each level of the hierarchy makes predictions of neural events at a lower level in the hierarchy, which returns a prediction error when these expectations are violated. We tested the generalization of this hypothesis to multiple sequential deviations, and we identified the most likely organization of the network that accommodates deviations in temporal structure of stimuli. Magnetoencephalography of healthy human participants during an auditory paradigm identified prediction error responses in bilateral primary auditory cortex, superior temporal gyrus, and lateral prefrontal cortex for deviation by frequency, intensity, location, duration, and silent gap. We examined the connectivity between cortical sources using a set of 21 generative models that embedded alternate hypotheses of frontotemporal network dynamics. Bayesian model selection provided evidence for two new features of functional network organization. First, an expectancy signal provided input to the prefrontal cortex bilaterally, related to the temporal structure of stimuli. Second, there are functionally significant lateral connections between superior temporal and/or prefrontal cortex. The results support a predictive coding hypothesis but go beyond previous work in demonstrating the generalization to multiple concurrent stimulus dimensions and the evidence for a temporal expectancy input at the higher level of the frontotemporal hierarchy. We propose that this framework for studying the brain's response to unexpected events is not limited to simple sensory tasks but may also apply to the neurocognitive mechanisms of higher cognitive functions and their disorders. Fil: Phillips, Holly N.. University of Cambridge; Reino Unido Fil: Blenkmann, Alejandro Omar. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Biología Celular y Neurociencia "Prof. Eduardo de Robertis". Universidad de Buenos Aires. Facultad de Medicina. Instituto de Biología Celular y Neurociencia; Argentina Fil: Hughes, Laura E.. University of Cambridge; Reino Unido Fil: Bekinschtein, Tristán Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. University of Cambridge; Reino Unido Fil: Rowe, James B.. University of Cambridge; Reino Unido |
| Databáze: | OpenAIRE |
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