scholarly journals Connecting EEG signal decomposition and response selection processes using the theory of event coding framework

2020 ◽  
Vol 41 (10) ◽  
pp. 2862-2877 ◽  
Author(s):  
Adam Takacs ◽  
Nicolas Zink ◽  
Nicole Wolff ◽  
Alexander Münchau ◽  
Moritz Mückschel ◽  
...  
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Julia Friedrich ◽  
Julius Verrel ◽  
Maximilian Kleimaker ◽  
Alexander Münchau ◽  
Christian Beste ◽  
...  

Abstract Action control requires precisely and flexibly linking sensory input and motor output. This is true for both, visuo-motor and somatosensory-motor integration. However, while perception–action integration has been extensively investigated for the visual modality, data on how somatosensory and action-related information is associated are scarce. We use the Theory of Event Coding (TEC) as a framework to investigate perception–action integration in the somatosensory-motor domain. Based on studies examining the neural mechanisms underlying stimulus–response binding in the visuo-motor domain, the current study investigates binding mechanisms in the somatosensory-motor domain using EEG signal decomposition and source localization analyses. The present study clearly demonstrates binding between somatosensory stimulus and response features. Importantly, repetition benefits but no repetition costs are evident in the somatosensory modality, which differs from findings in the visual domain. EEG signal decomposition indicates that response selection mechanisms, rather than stimulus-related processes, account for the behavioral binding effects. This modulation is associated with activation differences in the left superior parietal cortex (BA 7), an important relay of sensorimotor integration.


1997 ◽  
Vol 32 (2) ◽  
pp. 128-181 ◽  
Author(s):  
Asher Cohen ◽  
Rachel Shoup

2004 ◽  
Vol 16 (9) ◽  
pp. 1536-1551 ◽  
Author(s):  
Silke M. Göbel ◽  
Heidi Johansen-Berg ◽  
Tim Behrens ◽  
Matthew F. S. Rushworth

Neuroimaging studies of number comparison have consistently found activation in the intraparietal sulcus (IPS). Recently, it has been suggested that activations in the IPS vary with the distance between the numbers being compared. In number comparison, the smaller the distance between a number and the reference the longer the reaction time (RT). Activations in the right or left IPS, however, have also been related to attentional and intentional selection. It is possible, therefore, that activity in this region is a reflection of the more basic stimulus and response-selection processes associated with changes in RT. This fMRI experiment investigated the effect of numerical distance independently from RT. In addition, activations during number comparison of single-digit and double-digit stimuli were compared. During number comparison blocks, subjects had to indicate whether digits were greater or smaller than a reference (5 or 65). In control blocks, they were asked to perform a perceptual task (vertical line present/absent) on either numerical or nonnumerical stimuli. Number comparison versus rest yielded a large bilateral parietal-posterior frontal network. However, no areas showed more activation during number comparison than during the control tasks. Furthermore, no areas were more active during comparison of numbers separated by a small distance than comparisons of those separated by a large distance or vice versa. A left-lateralized parietal-posterior frontal network varied significantly with RT. Our findings suggest that magnitude and numerical-distance-related IPS activations might be difficult to separate from fundamental stimulus and response-selection processes associated with RT changes. As is the case with other parameters, such as space, magnitude may be represented in the context of response selection in the parietal cortex. In this respect, the representation of magnitude in the human IPS may be similar to the representation of magnitude in other nonhuman primates.


NeuroImage ◽  
2015 ◽  
Vol 120 ◽  
pp. 36-42 ◽  
Author(s):  
Shalmali Dharmadhikari ◽  
Ruoyun Ma ◽  
Chien-Lin Yeh ◽  
Ann-Kathrin Stock ◽  
Sandy Snyder ◽  
...  

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