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Not All Predictions Are Equal: "What" and "When" Predictions Modulate Activity in Auditory Cortex through Different Mechanisms.
Auksztulewicz, Ryszard; Schwiedrzik, Caspar M; Thesen, Thomas; Doyle, Werner; Devinsky, Orrin; Nobre, Anna C; Schroeder, Charles E; Friston, Karl J; Melloni, Lucia.
Afiliação
  • Auksztulewicz R; Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, United Kingdom WC1N 3BG, rauksztu@cityu.edu.hk lucia.melloni@nyumc.org.
  • Schwiedrzik CM; Oxford Centre for Human Brain Activity, Department of Psychiatry, University of Oxford, Oxford, United Kingdom OX3 7JX.
  • Thesen T; Department of Biomedical Sciences, City University of Hong Kong, Hong Kong.
  • Doyle W; Department of Neuroscience, Max-Planck-Institute for Empirical Aesthetics, Frankfurt am Main, Germany 60322.
  • Devinsky O; Laboratory of Neural Systems, Rockefeller University, New York, New York 10065.
  • Nobre AC; Neural Circuits and Cognition Laboratory, European Neuroscience Institute, Göttingen, Germany 37077.
  • Schroeder CE; University Medical Center Goettingen, 37075 Göttingen, Germany.
  • Friston KJ; Cognitive Neuroscience Laboratory, German Primate Center, Göttingen, Germany 37077.
  • Melloni L; Department of Neurology, New York University Langone Medical Center, New York, New York 10017.
J Neurosci ; 38(40): 8680-8693, 2018 10 03.
Article em En | MEDLINE | ID: mdl-30143578
Using predictions based on environmental regularities is fundamental for adaptive behavior. While it is widely accepted that predictions across different stimulus attributes (e.g., time and content) facilitate sensory processing, it is unknown whether predictions across these attributes rely on the same neural mechanism. Here, to elucidate the neural mechanisms of predictions, we combine invasive electrophysiological recordings (human electrocorticography in 4 females and 2 males) with computational modeling while manipulating predictions about content ("what") and time ("when"). We found that "when" predictions increased evoked activity over motor and prefrontal regions both at early (∼180 ms) and late (430-450 ms) latencies. "What" predictability, however, increased evoked activity only over prefrontal areas late in time (420-460 ms). Beyond these dissociable influences, we found that "what" and "when" predictability interactively modulated the amplitude of early (165 ms) evoked responses in the superior temporal gyrus. We modeled the observed neural responses using biophysically realistic neural mass models, to better understand whether "what" and "when" predictions tap into similar or different neurophysiological mechanisms. Our modeling results suggest that "what" and "when" predictability rely on complementary neural processes: "what" predictions increased short-term plasticity in auditory areas, whereas "when" predictability increased synaptic gain in motor areas. Thus, content and temporal predictions engage complementary neural mechanisms in different regions, suggesting domain-specific prediction signaling along the cortical hierarchy. Encoding predictions through different mechanisms may endow the brain with the flexibility to efficiently signal different sources of predictions, weight them by their reliability, and allow for their encoding without mutual interference.SIGNIFICANCE STATEMENT Predictions of different stimulus features facilitate sensory processing. However, it is unclear whether predictions of different attributes rely on similar or different neural mechanisms. By combining invasive electrophysiological recordings of cortical activity with experimental manipulations of participants' predictions about content and time of acoustic events, we found that the two types of predictions had dissociable influences on cortical activity, both in terms of the regions involved and the timing of the observed effects. Further, our biophysical modeling analysis suggests that predictability of content and time rely on complementary neural processes: short-term plasticity in auditory areas and synaptic gain in motor areas, respectively. This suggests that predictions of different features are encoded with complementary neural mechanisms in different brain regions.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Córtex Auditivo / Antecipação Psicológica / Modelos Neurológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Córtex Auditivo / Antecipação Psicológica / Modelos Neurológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article