Parallel Interdigitated Distributed Networks within the Individual Estimated by Intrinsic Functional Connectivity

Braga, Rodrigo M.; Buckner, Randy L.

doi:10.1016/j.neuron.2017.06.038

Cited by 561 publications

(727 citation statements)

References 116 publications

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“…In this 17-network solution, the FPCN appears to be segregated into 2 distinct subsystems (see Yeo et al, Figure 9). Recent work suggests that a fractionation of the FPCN can be observed in the data of individual participants 13 . These findings represent important empirical evidence for functional heterogeneity within this network.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneity Within the Frontoparietal Control Network and its Relationship to the Default and Dorsal Attention Networks

Dixon

Vega

Mills

et al. 2017

Preprint

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The frontoparietal control network (FPCN) plays a central role in executive control. It has been predominantly viewed as a unitary domain general system. Here, we examined patterns of FPCN functional connectivity (FC) across multiple conditions of varying cognitive demands, in order to test for FPCN heterogeneity. We identified two distinct subsystems within the FPCN based on hierarchical clustering and machine learning classification analyses of within-FPCN FC patterns. These two FPCN subsystems exhibited distinct patterns of FC the default network (DN) and the dorsal attentional network (DAN). This 2-fold FPCN differentiation was observed across four independent data sets, across 9 different conditions (rest and 8 tasks), as well as in meta-analytic co-activation patterns. The extent of FPCN differentiation varied across conditions, suggesting flexible adaptation to task demands. These findings reveal a flexible and heterogeneous FPCN organization that may in part emerge from separable DN and DAN processing streams.

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Section: Introductionmentioning

confidence: 99%

Heterogeneity Within the Frontoparietal Control Network and its Relationship to the Default and Dorsal Attention Networks

Dixon

Vega

Mills

et al. 2017

Preprint

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“…It has been demonstrated that the spatial extent of the DM network is variable among individuals (Braga & Buckner, 2017). To test whether the individual variability affected the distribution of the combinations of the connected networks, the regions that were likely to vary across individuals were excluded from analysis by removing the outermost vertices of the seven networks repeatedly until the resultant size of the networks was reduced to approximately one half of the original size (Figure 5b).…”

Section: Resultsmentioning

confidence: 99%

Striatal subdivisions that coherently interact with multiple cerebrocortical networks

Ogawa

Osada

Tanaka

et al. 2018

Human Brain Mapping

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The striatum constitutes the cortical‐basal ganglia loop and receives input from the cerebral cortex. Previous MRI studies have parcellated the human striatum using clustering analyses of structural/functional connectivity with the cerebral cortex. However, it is currently unclear how the striatal regions functionally interact with the cerebral cortex to organize cortical functions in the temporal domain. In the present human functional MRI study, the striatum was parcellated using boundary mapping analyses to reveal the fine architecture of the striatum by focusing on local gradient of functional connectivity. Boundary mapping analyses revealed approximately 100 subdivisions of the striatum. Many of the striatal subdivisions were functionally connected with specific combinations of cerebrocortical functional networks, such as somato‐motor (SM) and ventral attention (VA) networks. Time‐resolved functional connectivity analyses further revealed coherent interactions of multiple connectivities between each striatal subdivision and the cerebrocortical networks (i.e., a striatal subdivision‐SM connectivity and the same striatal subdivision‐VA connectivity). These results suggest that the striatum contains a large number of subdivisions that mediate functional coupling between specific combinations of cerebrocortical networks.

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“…While four main subdivisions for the anterior cingulate cortex have been suggested as serving executive, cognitive, emotional and evaluative functions, extensive evidence of significant overlap between regions activated during pain, negative affect, and cognitive control points towards an integrated adaptive control hypothesis with the ACC involved to a large extent in aversively motivated action (Shackman et al, 2011). Essential to a function centered on comparing new with old content and doing this similarly for real compared to envisioned representations, distinguishable main networks have been found lately in human individuals, differing in their inclusion of hippocampal circuits and exhibiting interdigitated lay-outs in several cortical areas including neighbors of the ACC (Braga & Buckner 2017).…”

Section: Introductionmentioning

confidence: 99%

Anterior Cingulate Cortex for Consistency Curation

Thomsen¹

2017

Preprint

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Control is essential in all complex systems serving any purpose, and cognitive control is claimed to fill a pivotal role for the cognition of natural agents. The Anterior Cingulate Cortex (ACC) is a neural structure, widely believed to be involved in cognitive control. In the human brain, the ACC undoubtedly takes a center position and features several peculiarities. It has been implicated in a wide range of tasks ranging from sensing pain and autonomic regulation to high-level executive functions like error monitoring and abstract control. A sketch how this seemingly irreconcilable plurality can be understood as manifestations of only one general process working in diverse contexts on different content is presented and also how this constitutes evidence for a specific cognitive architecture. Going beyond extant proposals for ACC function, the here presented one recommends an embedding into a very general overarching model of cognition. Discrepancy monitoring highlights deviations between predictions derived from memory content and current activations. A process doing this has recently been proposed as central to the 'Ouroboros Model' under the title of 'consumption analysis'. It is claimed that ONE functional account centered on consistency checking and, based thereupon, the overall minimization of discrepancies ("consistency curation and cultivation") can parsimoniously explain the plentitude of reported observations for the ACC, thus shedding new light on the neural computations, which form the foundations of cognition and, finally, consciousness. A specific "natural" reconciliation of various current conceptualizations and theoretical models is offered, which points out promising directions for future modelling efforts and attempts to harness the findings generally for artificial intelligence.

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Parallel Interdigitated Distributed Networks within the Individual Estimated by Intrinsic Functional Connectivity

Cited by 561 publications

References 116 publications

Heterogeneity Within the Frontoparietal Control Network and its Relationship to the Default and Dorsal Attention Networks

Heterogeneity Within the Frontoparietal Control Network and its Relationship to the Default and Dorsal Attention Networks

Striatal subdivisions that coherently interact with multiple cerebrocortical networks

Anterior Cingulate Cortex for Consistency Curation

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