Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks

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, 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 with the default network (DN) and the dorsal attention network (DAN). FPCNA exhibited stronger connectivity with the DN than the DAN, whereas FPCNB exhibited the opposite pattern. This twofold FPCN differentiation was observed across four independent datasets, across nine different conditions (rest and eight tasks), at the level of individual-participant data, as well as in meta-analytic coactivation patterns. Notably, the extent of FPCN differentiation varied across conditions, suggesting flexible adaptation to task demands. Finally, we used meta-analytic tools to identify several functional domains associated with the DN and DAN that differentially predict activation in the FPCN subsystems. These findings reveal a flexible and heterogeneous FPCN organization that may in part emerge from separable DN and DAN processing streams. We propose that FPCNA may be preferentially involved in the regulation of introspective processes, whereas FPCNB may be preferentially involved in the regulation of visuospatial perceptual attention.

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

10.1101/178863 ◽

2017 ◽

Cited By ~ 5

Author(s):

Matthew L Dixon ◽

Alejandro De La Vega ◽

Caitlin Mills ◽

Jessica Andrews-Hanna ◽

R. Nathan Spreng ◽

...

Keyword(s):

General System ◽

Task Demands ◽

Control Network ◽

Data Sets ◽

Activation Patterns ◽

Attention Networks ◽

Machine Learning Classification ◽

Co Activation ◽

Flexible Adaptation ◽

Frontoparietal Control Network

ABSTRACTThe 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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Anticorrelation between default and dorsal attention networks varies across default subsystems and cognitive states

10.1101/056424 ◽

2016 ◽

Cited By ~ 1

Author(s):

Matthew L. Dixon ◽

Jessica R. Andrews-Hanna ◽

R. Nathan Spreng ◽

Zachary C. Irving ◽

Kalina Christoff

Keyword(s):

Default Network ◽

Control Network ◽

Brain Organization ◽

Attention Networks ◽

Functional Brain ◽

Cognitive States ◽

Dorsal Attention Network ◽

Functional Brain Organization ◽

The Stability ◽

Frontoparietal Control Network

SummaryAnticorrelation between the default network (DN) and dorsal attention network (DAN) is thought to be an intrinsic aspect of functional brain organization reflecting competing functions. However, the stability of anticorrelations across distinct DN subsystems, different contexts, and time, remains unexplored. Here we examine DN-DAN functional connectivity across six different cognitive states. We show that:(i) the DAN is anticorrelated with the DN core subsystem, but not with the two DN subsystems involved in mentalizing and mnemonic functions, respectively; (ii) DN-DAN interactions vary significantly across cognitive states; (iii) DN-DAN connectivity fluctuates across time between periods of anticorrelation and periods of positive correlation; and (iv) coupling between the frontoparietal control network (FPCN) and DAN predicts variation in the strength of DN-DAN anticorrelation across time. These findings reveal substantial variability in DN-DAN interactions, suggesting that these networks are not strictly competitive, and that the FPCN may act to modulate their anticorrelation strength.

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Intrinsic Architecture Underlying the Relations among the Default, Dorsal Attention, and Frontoparietal Control Networks of the Human Brain

Journal of Cognitive Neuroscience ◽

10.1162/jocn_a_00281 ◽

2013 ◽

Vol 25 (1) ◽

pp. 74-86 ◽

Cited By ~ 361

Author(s):

R. Nathan Spreng ◽

Jorge Sepulcre ◽

Gary R. Turner ◽

W. Dale Stevens ◽

Daniel L. Schacter

Keyword(s):

Functional Connectivity ◽

Large Scale ◽

Dynamic Balance ◽

Brain Regions ◽

Human Cognition ◽

Control Network ◽

Resting State Functional Connectivity ◽

Attention Networks ◽

Large Scale Networks ◽

Frontoparietal Control Network

Human cognition is increasingly characterized as an emergent property of interactions among distributed, functionally specialized brain networks. We recently demonstrated that the antagonistic “default” and “dorsal attention” networks—subserving internally and externally directed cognition, respectively—are modulated by a third “frontoparietal control” network that flexibly couples with either network depending on task domain. However, little is known about the intrinsic functional architecture underlying this relationship. We used graph theory to analyze network properties of intrinsic functional connectivity within and between these three large-scale networks. Task-based activation from three independent studies were used to identify reliable brain regions (“nodes”) of each network. We then examined pairwise connections (“edges”) between nodes, as defined by resting-state functional connectivity MRI. Importantly, we used a novel bootstrap resampling procedure to determine the reliability of graph edges. Furthermore, we examined both full and partial correlations. As predicted, there was a higher degree of integration within each network than between networks. Critically, whereas the default and dorsal attention networks shared little positive connectivity with one another, the frontoparietal control network showed a high degree of between-network interconnectivity with each of these networks. Furthermore, we identified nodes within the frontoparietal control network of three different types—default-aligned, dorsal attention-aligned, and dual-aligned—that we propose play dissociable roles in mediating internetwork communication. The results provide evidence consistent with the idea that the frontoparietal control network plays a pivotal gate-keeping role in goal-directed cognition, mediating the dynamic balance between default and dorsal attention networks.

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Correction for Dixon et al., Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1803276115 ◽

2018 ◽

Vol 115 (13) ◽

pp. E3068-E3068

Keyword(s):

Control Network ◽

Attention Networks ◽

Frontoparietal Control Network

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Expert music performance: Evidence for flexible adaptation to novel task demands

PsycEXTRA Dataset ◽

10.1037/e536982012-601 ◽

1997 ◽

Author(s):

Andreas C. Lehmann ◽

K. Anders Ericsson

Keyword(s):

Music Performance ◽

Task Demands ◽

Flexible Adaptation

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Enhancing creativity by altering the frontoparietal control network functioning using transcranial direct current stimulation

Experimental Brain Research ◽

10.1007/s00221-020-06023-2 ◽

2021 ◽

Author(s):

Adi Lifshitz-Ben-Basat ◽

Nira Mashal

Keyword(s):

Direct Current ◽

Transcranial Direct Current Stimulation ◽

Control Network ◽

Direct Current Stimulation ◽

Frontoparietal Control Network

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Altered Resting-State Frontoparietal Control Network in Children with Attention-Deficit/Hyperactivity Disorder

Journal of the International Neuropsychological Society ◽

10.1017/s135561771500020x ◽

2015 ◽

Vol 21 (4) ◽

pp. 271-284 ◽

Cited By ~ 47

Author(s):

Hsiang-Yuan Lin ◽

Wen-Yih Isaac Tseng ◽

Meng-Chuan Lai ◽

Kayako Matsuo ◽

Susan Shur-Fen Gau

Keyword(s):

Attention Deficit Hyperactivity Disorder ◽

Prefrontal Cortex ◽

Functional Connectivity ◽

Resting State ◽

Control Network ◽

Children With Adhd ◽

Hyperactivity Disorder ◽

Anterior Prefrontal Cortex ◽

The Right ◽

Frontoparietal Control Network

AbstractThe frontoparietal control network, anatomically and functionally interposed between the dorsal attention network and default mode network, underpins executive control functions. Individuals with attention-deficit/hyperactivity disorder (ADHD) commonly exhibit deficits in executive functions, which are mainly mediated by the frontoparietal control network. Involvement of the frontoparietal control network based on the anterior prefrontal cortex in neurobiological mechanisms of ADHD has yet to be tested. We used resting-state functional MRI and seed-based correlation analyses to investigate functional connectivity of the frontoparietal control network in a sample of 25 children with ADHD (7–14 years; mean 9.94±1.77 years; 20 males), and 25 age-, sex-, and performance IQ-matched typically developing (TD) children. All participants had limited in-scanner head motion. Spearman’s rank correlations were used to test the associations between altered patterns of functional connectivity with clinical symptoms and executive functions, measured by the Conners’ Continuous Performance Test and Spatial Span in the Cambridge Neuropsychological Test Automated Battery. Compared with TD children, children with ADHD demonstrated weaker connectivity between the right anterior prefrontal cortex (PFC) and the right ventrolateral PFC, and between the left anterior PFC and the right inferior parietal lobule. Furthermore, this aberrant connectivity of the frontoparietal control network in ADHD was associated with symptoms of impulsivity and opposition-defiance, as well as impaired response inhibition and attentional control. The findings support potential integration of the disconnection model and the executive dysfunction model for ADHD. Atypical frontoparietal control network may play a pivotal role in the pathophysiology of ADHD. (JINS, 2015, 21, 271–284)

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IC-P-072: Aβ-related functional alteration in a frontoparietal control network in cognitively normal elderly

Alzheimer s & Dementia ◽

10.1016/j.jalz.2015.06.093 ◽

2015 ◽

Vol 11 (7S_Part_1) ◽

pp. P53-P53

Author(s):

Hwamee Oh ◽

Jason Steffener ◽

Ray Razlighi ◽

Christian Habeck ◽

Dan Liu ◽

...

Keyword(s):

Control Network ◽

Cognitively Normal ◽

Frontoparietal Control Network ◽

Functional Alteration

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Temporal circuit of macroscale dynamic brain activity supports human consciousness

Science Advances ◽

10.1126/sciadv.aaz0087 ◽

2020 ◽

Vol 6 (11) ◽

pp. eaaz0087 ◽

Cited By ~ 11

Author(s):

Zirui Huang ◽

Jun Zhang ◽

Jinsong Wu ◽

George A. Mashour ◽

Anthony G. Hudetz

Keyword(s):

Default Mode Network ◽

Functional Role ◽

Brain Activity ◽

Human Consciousness ◽

Attention Network ◽

Attention Networks ◽

Default Mode ◽

Dorsal Attention Network ◽

Brain States

The ongoing stream of human consciousness relies on two distinct cortical systems, the default mode network and the dorsal attention network, which alternate their activity in an anticorrelated manner. We examined how the two systems are regulated in the conscious brain and how they are disrupted when consciousness is diminished. We provide evidence for a “temporal circuit” characterized by a set of trajectories along which dynamic brain activity occurs. We demonstrate that the transitions between default mode and dorsal attention networks are embedded in this temporal circuit, in which a balanced reciprocal accessibility of brain states is characteristic of consciousness. Conversely, isolation of the default mode and dorsal attention networks from the temporal circuit is associated with unresponsiveness of diverse etiologies. These findings advance the foundational understanding of the functional role of anticorrelated systems in consciousness.

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