Decoding self-related networks in colour judgement task
Poster No:
784
Submission Type:
Abstract Submission
Authors:
Tzu-Yu Hsu1
Institutions:
1Taipei Medical University, Taipei City, Taiwan
First Author:
Introduction:
Self-related brain networks have been linked to cortical midline structure through self-oriented tasks involving self-referential stimuli such as one's name or autobiographical images. These were also highlighted with an alternative self-oriented task that utilises non-self-referential colour stimuli along with simple preference (self-related) or similarity (non-self) choices. However, this original study had limited statistical power due to the low sample size. To address this, we conducted a replication study using an adapted version of the colour preference task with a larger sample size. Additionally, we used MVPA decoding techniques to determine which regions of the task-induced network can best differentiate between self-referential and non-self-referential task conditions.
Methods:
60 right handed, non-medicated, young adults (age, mean = 27.8, SD = 4.90) recruited from the student body of Taipei Medical University and locals residents through referral. T1 and T2* weighted images were collected with a Siemens Prisma 3T scanner and 64-channel head coil at National Taiwan University.
Colour preference task consisted of three blocks, each contained a semi-random sequence of 70-trial colour choice trials.
Data were preprocessed with fMRIPrep, followed by GLM analysis and permutation tests in FSL. Decoding analyses were conducted with custom scripts implemented with Python toolboxes.
Colour preference task consisted of three blocks, each contained a semi-random sequence of 70-trial colour choice trials.
Data were preprocessed with fMRIPrep, followed by GLM analysis and permutation tests in FSL. Decoding analyses were conducted with custom scripts implemented with Python toolboxes.
Results:
Self-related response results provided robust findings, demonstrating that midline structure brain regions and DLPFC activity are higher in the preference condition than in the similarity condition. Intriguingly, several brain regions in basal ganglia showed higher activation in the similarity condition in comparison to the preference condition. In our decoding analysis,we observed frontal and parietal networks has above chance decoding accuracy.
·Contrast between preference and similarity conditions
Conclusions:
The task requirement in colour judgement task can probe the self-related networks. More importantly, frontal and parietal regions of this network plays a critical role in differentiate self-related and non-self-related processes. This provided evidence may contribute to the understanding of neural correlated of self consciousness.
Emotion, Motivation and Social Neuroscience:
Self Processes 1
Modeling and Analysis Methods:
Activation (eg. BOLD task-fMRI)
Classification and Predictive Modeling 2
Perception, Attention and Motor Behavior:
Consciousness and Awareness
Keywords:
Consciousness
FUNCTIONAL MRI
Other - self, decoding
1|2Indicates the priority used for review
Provide references using author date format
Qin P, Northoff G. (2011). 'How is our self related to midline regions and the default-mode network?' Neuroimage. 57(3), 1221-33.