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- Title
Does Generalized Linear Model Support Functional Default Mode Network Studies.
- Authors
KOÇAK, Orhan Murat; ÖZDEMİR REZAKİ, Hatice; TÜRKEL, Yakup; İNAL, Mikail; BUTURAK, Şadiye Visal
- Abstract
Introduction: A growing body of research has emerged on the resting state and the default mode of the brain. Functional connectivity studies, which lately dominate this research area, have confirmed that regions such as the cortical mid-line structures, as well as parietal-temporal regions are tightly interconnected within the default mode network (DMN). However, little is known about the activity patterns of resting state related brain regions detected in fMRI studies using the generalized linear model (GLM) in a whole brain analysis. The aim of the current study was to investigate the activity changes among brain regions identified through GLM during the transition from task to rest and the prolongation of rest. Methods: A picture imagination task, as a controlled thought content task, was used in order to minimize confounding factors such as a visual stimulus or a motor response. Results: The present study revealed a consistent fluctuating activation pattern of the dorsal anterior cingulate cortex (dACC), the posterior cingulate cortex (PCC), thalamus, primer motor area (PMA), insula, brain stem and bilateral putamen during the transition from task to the early phase of the resting state and the prolongation of the resting state. All regions showed increased activation during the detachment from task. However, this increased activation was not sustained during the extension of rest, replaced with a decreased activation at the late phase of rest. The increased activation of resting state regions might help with the detachment from the current task. Among these regions dACC, insula and putamen were correlated in all conditions. Conclusion: These findings underline the importance of the activation increase of the cortical mid-line regions and insula in the transition from task to the resting state.
- Subjects
BRAIN physiology; BRAIN stem physiology; LIMBIC system physiology; THALAMUS physiology; BASAL ganglia; NEUROPSYCHOLOGICAL tests; REGRESSION analysis; STATISTICAL models
- Publication
Archives of Neuropsychiatry / Nöropsikiyatri Arşivi, 2019, Vol 56, Issue 4, p277
- ISSN
1300-0667
- Publication type
Article
- DOI
10.29399/npa.23422