2023
DOI: 10.1016/j.neuroimage.2023.119866
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Task-based functional connectivity identifies two segregated networks underlying intentional action

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Cited by 7 publications
(11 citation statements)
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“…The results are FWE-corrected with a threshold of p < 0.05. Modified from Doganci et al. (2023) with permission from Elsevier.…”
Section: Resultsmentioning
confidence: 99%
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“…The results are FWE-corrected with a threshold of p < 0.05. Modified from Doganci et al. (2023) with permission from Elsevier.…”
Section: Resultsmentioning
confidence: 99%
“…During fMRI, participants were required to perform simple finger movements, while alternating externally-triggered and participant’s selection of the action, as described in Doganci et al. (2023 ).…”
Section: Methodsmentioning
confidence: 99%
“…Our results are consistent with prior studies that have shown increased neural activity in mPFC, extending to regions such as CG and PCL, in lower frequency alpha and theta bands, which is thought to reflect feedforward models of predictive coding that model the expected sensory outcome of self-generated actions to enable the initiation of self-regulated goal-directed actions (36, 37). This increased neural activity in mPFC, extending to CG and PCL, has been shown to occur consistently prior to self-generated (but not prior to externally-perceived actions), indicating these regions are important for mediating self-predictions that model the expected sensory outcome of self-generated actions, and reflect the volition in motor preparation to translate these self-predictions to initiate self-generated actions that results in the experience of self-agency (2, 9, 2427, 36).…”
Section: Discussionmentioning
confidence: 99%
“…We hypothesized that, compared to control rTMS, enhancing medial SFG excitability by rTMS while subjects are at rest would improve the temporal propagation of neural information flow from SFG to anatomically-connected distinct regions (such as the cingulate gyrus and premotor/supplementary motor cortex) within the self-agency network in either delta-theta (2-8 Hz), alpha (8)(9)(10)(11)(12), beta (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), or gamma (30-50 Hz) frequency bands. For example, we know that during the default mode, when participants are at rest and left to think to themselves, the lower frequency band oscillations such as delta-theta and alpha bands, which represent an idling rhythm, are dominant in medial frontal and adjacent cingulate cortex during rest across both MEG and EEG recordings, and functionally overlap with resting-state networks found in fMRI studies (18)(19)(20)(21).…”
Section: Introductionmentioning
confidence: 99%
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