Fast subcortico-cortical networks subserving auditory novelty detection
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1
University of Barcelona, Institute for Brain, Cognition and Behavior (IR3C), Spain
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2
Catalan Institution for Research and Advanced Studies (ICREA), Spain
The brain’s ability to detect changes in the acoustic environment is critical for survival, as it may prevent potentially relevant events to go unnoticed. This ability relies on two different mechanisms, one to detect onsets/offsets in the ongoing stimulation and another one that models auditory regularity. In humans, novelty detection based on acoustic regularity modeling has been associated with a brain response derived from the human EEG, the mismatch negativity (MMN) evoked potential, peaking at about 100-200 ms from auditory-novelty onset, all in all supporting the cortical nature of both the processes of regularity extraction and deviance detection. Yet, recent single-unit recordings in rats and cats have shown much earlier (circa 20-30 ms) and hierarchically lower (medial geniculate body, inferior colliculus) novelty-related responses. Here, I will discuss several results obtained in our laboratory with the Frequency Following Response (FFR), the Middle Latency Response (MLR) and Magnetoencephalography (MEG) and functional Magnetic Resonance Imaging (fMRI) to show that auditory novelty detection occurs in latencies and networks comparable to those observed in animals, altogether supporting the view that novelty detection is a basic principle of the functional organization of the auditory system, expanding from lower levels along the auditory pathway in the brainstem up to higher-order areas of the cerebral cortex.
Keywords:
mismatch negativity,
novelty detection
Conference:
XI International Conference on Cognitive Neuroscience (ICON XI), Palma, Mallorca, Spain, 25 Sep - 29 Sep, 2011.
Presentation Type:
Keynote Lecture
Topic:
Keynote Lectures
Citation:
Escera
C
(2011). Fast subcortico-cortical networks subserving auditory novelty detection.
Conference Abstract:
XI International Conference on Cognitive Neuroscience (ICON XI).
doi: 10.3389/conf.fnhum.2011.207.00009
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Received:
02 Nov 2011;
Published Online:
08 Nov 2011.
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Correspondence:
Dr. Carles Escera, University of Barcelona, Institute for Brain, Cognition and Behavior (IR3C), Barcelona, Spain, cescera@ub.edu