PMID- 31428855
OWN - NLM
STAT- MEDLINE
DCOM- 20200406
LR  - 20200408
IS  - 1432-0770 (Electronic)
IS  - 0340-1200 (Print)
IS  - 0340-1200 (Linking)
VI  - 113
IP  - 5-6
DP  - 2019 Dec
TI  - A generic deviance detection principle for cortical On/Off responses, omission 
      response, and mismatch negativity.
PG  - 475-494
LID - 10.1007/s00422-019-00804-x [doi]
AB  - Neural responses to sudden changes can be observed in many parts of the sensory 
      pathways at different organizational levels. For example, deviants that violate 
      regularity at various levels of abstraction can be observed as simple On/Off 
      responses of individual neurons or as cumulative responses of neural populations. 
      The cortical deviance-related responses supporting different functionalities 
      (e.g., gap detection, chunking, etc.) seem unlikely to arise from different 
      function-specific neural circuits, given the relatively uniform and self-similar 
      wiring patterns across cortical areas and spatial scales. Additionally, 
      reciprocal wiring patterns (with heterogeneous combinations of excitatory and 
      inhibitory connections) in the cortex naturally speak in favor of a generic 
      deviance detection principle. Based on this concept, we propose a network model 
      consisting of reciprocally coupled neural masses as a blueprint of a universal 
      change detector. Simulation examples reproduce properties of cortical 
      deviance-related responses including the On/Off responses, the omitted-stimulus 
      response (OSR), and the mismatch negativity (MMN). We propose that the emergence 
      of change detectors relies on the involvement of disinhibition. An analysis of 
      network connection settings further suggests a supportive effect of synaptic 
      adaptation and a destructive effect of N-methyl-D-aspartate receptor (NMDA-r) 
      antagonists on change detection. We conclude that the nature of cortical 
      reciprocal wiring gives rise to a whole range of local change detectors 
      supporting the notion of a generic deviance detection principle. Several testable 
      predictions are provided based on the network model. Notably, we predict that the 
      NMDA-r antagonists would generally dampen the cortical Off response, the cortical 
      OSR, and the MMN.
FAU - Chien, Vincent S C
AU  - Chien VSC
AUID- ORCID: 0000-0002-1630-7870
AD  - Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstrasse 1a, 
      Leipzig, Germany. vchien@cbs.mpg.de.
FAU - Maess, Burkhard
AU  - Maess B
AD  - Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstrasse 1a, 
      Leipzig, Germany.
FAU - Knosche, Thomas R
AU  - Knosche TR
AD  - Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstrasse 1a, 
      Leipzig, Germany.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20190819
PL  - Germany
TA  - Biol Cybern
JT  - Biological cybernetics
JID - 7502533
SB  - IM
MH  - Animals
MH  - Brain/*physiology
MH  - Humans
MH  - *Models, Neurological
MH  - Nerve Net/*physiology
MH  - Neurons/*physiology
PMC - PMC6848254
OTO - NOTNLM
OT  - Adaptation
OT  - Auditory perception
OT  - Deviance detection
OT  - NMDA
OT  - Neural mass model
EDAT- 2019/08/21 06:00
MHDA- 2020/04/09 06:00
PMCR- 2019/08/19
CRDT- 2019/08/21 06:00
PHST- 2019/03/18 00:00 [received]
PHST- 2019/08/07 00:00 [accepted]
PHST- 2019/08/21 06:00 [pubmed]
PHST- 2020/04/09 06:00 [medline]
PHST- 2019/08/21 06:00 [entrez]
PHST- 2019/08/19 00:00 [pmc-release]
AID - 10.1007/s00422-019-00804-x [pii]
AID - 804 [pii]
AID - 10.1007/s00422-019-00804-x [doi]
PST - ppublish
SO  - Biol Cybern. 2019 Dec;113(5-6):475-494. doi: 10.1007/s00422-019-00804-x. Epub 
      2019 Aug 19.