Poster No:
956
Submission Type:
Abstract Submission
Authors:
Gizem Cetin1,2, Mareike Grotheer1,2, Daniel Kaiser3,2
Institutions:
1Department of Psychology, Philipps University Marburg, Marburg, Germany, 2Center for Mind, Brain, and Behavior (CMBB), Marburg, Germany, 3Mathematical Institute, Justus-Liebig University Gießen, Gießen, Germany
First Author:
Gizem Cetin
Department of Psychology, Philipps University Marburg|Center for Mind, Brain, and Behavior (CMBB)
Marburg, Germany|Marburg, Germany
Co-Author(s):
Mareike Grotheer
Department of Psychology, Philipps University Marburg|Center for Mind, Brain, and Behavior (CMBB)
Marburg, Germany|Marburg, Germany
Daniel Kaiser
Mathematical Institute, Justus-Liebig University Gießen|Center for Mind, Brain, and Behavior (CMBB)
Gießen, Germany|Marburg, Germany
Introduction:
Math and reading abilities play a fundamental role in our everyday life, influencing the well-being and career prospects of individuals. Neuroimaging studies have revealed that these skills rely on specialized brain networks spanning from the ventral temporal cortex to the frontal cortex (e.g., Grotheer et al., NComm, 2019). However, the precise temporal dynamics of information exchange within these networks remain unclear. To gain insights into the temporal dynamics of mathematical and reading processing in the brain, we evaluated neural responses during math and reading tasks in the EEG, using an established experimental design where both tasks are performed on the same visual stimuli.
Methods:
At the onset of each trial, a cue was presented. Participants (N=30) then viewed four number-letter morph stimuli, each for 1 second, followed by a 2-second answer screen, during which they provided responses through button presses. Across different runs, participants performed three different tasks: reading, math, and a control task (color discrimination) (Fig. 1). Multivariate pattern analyses were conducted on EEG sensor data to evaluate the spatio-temporal dynamics of information flow during the tasks. Specifically, we tested when different groups of electrodes carry information about the participants' task, whether participants viewed more number- or letter-like morphs, and the resulting word or sum.
Results:
We found that the task participants were performing could first be decoded from electrodes in the frontal cortex and only later be decoded from electrodes in the occipito-temporal cortex. These temporal dynamics were similar across hemispheres, but decoding accuracy was overall higher in the left hemisphere. We could not decode the specific morph stimulus that the participants were looking at. Similarly, we could not significantly decode the resulting word/sum in either the math or the reading task.
Conclusions:
We were able to decode the task participants were performing but not the visual stimulus they were seeing, which suggests that the performed task has a greater impact on neural responses than the visual stimuli. Further, our results suggest that information about current task demands can first be found in the frontal cortex and is subsequently fed back into the visual system to modulate processing in a task-specific way. This finding suggests that frontal control systems play a critical role in formatting visual representations of the same visual inputs for efficient use during math and reading tasks. Future research combining EEG and fMRI could resolve neural information flows during these essential tasks with even greater spatial precision.
Higher Cognitive Functions:
Higher Cognitive Functions Other 1
Language:
Reading and Writing
Modeling and Analysis Methods:
EEG/MEG Modeling and Analysis
Novel Imaging Acquisition Methods:
EEG 2
Perception, Attention and Motor Behavior:
Perception: Visual
Keywords:
Cognition
Electroencephaolography (EEG)
Language
Perception
Vision
1|2Indicates the priority used for review
Provide references using author date format
Grotheer, M., Zhen, Z., Lerma-Usabiaga, G. et al. (2019), ‘Separate lanes for adding and reading in the white matter highways of the human brain’, Nature Communications, vol. 10, no. 1, 3675.