H2020Индивидуална стипендия2017–2018

PredAMEG · Identifying Oscillatory Signatures of Predictive Coding in Hierarchical Auditory Networks with MEG

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2017-01-01 → 2018-12-31
Финансиране от ЕС: 183 455 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Невронните сигнали при обработката на звуци се анализират, за да се разбере как мозъкът предвижда следващия звук. Това помага да се открият разлики в комуникацията между мозъчните региони при здрави хора и пациенти с шизофрения.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Identifying Oscillatory Signatures of Predictive Coding in Hierarchical Auditory Networks with MEG

Elucidating the mechanisms involved in the communication of predictive signals across brain regions is currently one of the fundamental questions in cognitive neuroscience. This problem is not only relevant for understanding normal brain functioning but also potentially important for identifying core deficits underlying neurological and psychiatric disorders such as schizophrenia. The PredAMEG project aimed to address these questions through the investigation of spectral signatures underlying sensory predictions and prediction-error generation across the auditory hierarchy in healthy volunteers and in schizophrenia patients. Specifically, we aimed to disentangle the neural mechanisms involved in inter-areal brain communication during normal brain functioning and assess whether bottom-up or top-down auditory predictive signaling is disrupted in schizophrenia.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Considerable evidence supports the notion that the brain actively predicts incoming sensory events which are compared with internal models. However, the underlying mechanisms remain unclear. The goal of this project is to identify the role of neural oscillations during predictive processing in a hierarchical auditory network using Magnetoencephalography (MEG). I will examine oscillatory activity during the encoding of predictable auditory events and the subsequent detection of unpredictable deviations in a modification of the roving standard paradigm containing nested levels of acoustic regularities. Specifically, I aim to identify the specific frequency channels underlying the signalling of sensory predictions and prediction-errors across the auditory hierarchy. In addition to studying predictive processing during normal brain functioning, the proposed project will examine aberrant auditory predictive processing in schizophrenia, a disorder characterized by profound abnormalities in auditory perception. Accordingly, the outcomes of this project will not only impact on our understanding of the principles of normal brain functioning but may also have implications for future clinical and translational research.

Оригинален текст от CORDIS (на английски).

Участници

UNIVERSITY OF GLASGOW · GlasgowКоординаторОбединеното кралство