TY - JOUR
T1 - Indexing sensory plasticity
T2 - evidence for distinct Predictive Coding and Hebbian learning mechanisms in the cerebral cortex
AU - Spriggs, M. J.
AU - Sumner, R. L.
AU - McMillan, R. L.
AU - Moran, R. J.
AU - Kirk, I. J.
AU - Muthukumaraswamy, S. D.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - The Roving Mismatch Negativity (MMN), and Visual LTP paradigms are widely used as independent measures of sensory plasticity. However, the paradigms are built upon fundamentally different (and seemingly opposing) models of perceptual learning; namely, Predictive Coding (MMN) and Hebbian plasticity (LTP). The aim of the current study was to compare the generative mechanisms of the MMN and visual LTP, therefore assessing whether Predictive Coding and Hebbian mechanisms co-occur in the brain. Forty participants were presented with both paradigms during EEG recording. Consistent with Predictive Coding and Hebbian predictions, Dynamic Causal Modelling revealed that the generation of the MMN modulates forward and backward connections in the underlying network, while visual LTP only modulates forward connections. These results suggest that both Predictive Coding and Hebbian mechanisms are utilized by the brain under different task demands. This therefore indicates that both tasks provide unique insight into plasticity mechanisms, which has important implications for future studies of aberrant plasticity in clinical populations.
AB - The Roving Mismatch Negativity (MMN), and Visual LTP paradigms are widely used as independent measures of sensory plasticity. However, the paradigms are built upon fundamentally different (and seemingly opposing) models of perceptual learning; namely, Predictive Coding (MMN) and Hebbian plasticity (LTP). The aim of the current study was to compare the generative mechanisms of the MMN and visual LTP, therefore assessing whether Predictive Coding and Hebbian mechanisms co-occur in the brain. Forty participants were presented with both paradigms during EEG recording. Consistent with Predictive Coding and Hebbian predictions, Dynamic Causal Modelling revealed that the generation of the MMN modulates forward and backward connections in the underlying network, while visual LTP only modulates forward connections. These results suggest that both Predictive Coding and Hebbian mechanisms are utilized by the brain under different task demands. This therefore indicates that both tasks provide unique insight into plasticity mechanisms, which has important implications for future studies of aberrant plasticity in clinical populations.
KW - Dynamic Causal Modelling
KW - Long Term Potentiation
KW - Mismatch negativity
KW - Neuroplasticity
KW - Perceptual learning
UR - http://www.scopus.com/inward/record.url?scp=85046646285&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2018.04.060
DO - 10.1016/j.neuroimage.2018.04.060
M3 - Article (Academic Journal)
C2 - 29715566
AN - SCOPUS:85046646285
SN - 1053-8119
VL - 176
SP - 290
EP - 300
JO - NeuroImage
JF - NeuroImage
ER -