Dynamical models reveal anatomically reliable attractor landscapes embedded in resting state brain networks DOI Creative Commons
Ruiqi Chen, Matthew F. Singh, Todd S. Braver

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 16, 2024

Analyses of functional connectivity (FC) in resting-state brain networks (RSNs) have generated many insights into cognition. However, the mechanistic underpinnings FC and RSNs are still not well-understood. It remains debated whether resting state activity is best characterized as noise-driven fluctuations around a single stable state, or instead, nonlinear dynamical system with nontrivial attractors embedded RSNs. Here, we provide evidence for latter, by constructing whole-brain systems models from individual fMRI (rfMRI) recordings, using Mesoscale Individualized NeuroDynamic (MINDy) platform. The MINDy consist hundreds neural masses representing parcels, connected fully trainable, individualized weights. We found that our manifested diverse taxonomy attractor landscapes including multiple equilibria limit cycles. when projected anatomical space, these mapped onto limited set canonical RSNs, default mode network (DMN) frontoparietal control (FPN), which were reliable at level. Further, creating convex combinations models, bifurcations induced recapitulated full spectrum dynamics via fitting. These findings suggest traverses dynamics, generates several distinct but anatomically overlapping landscapes. Treating rfMRI unimodal stationary process (i.e., conventional FC) may miss critical properties structure within brain. Instead, be better captured through modeling analytic approaches. results new generative mechanisms intrinsic spatiotemporal organization networks.

Language: Английский

Behavior needs neural variability DOI Creative Commons
Leonhard Waschke, Niels A Kloosterman, Jonas Obleser

et al.

Neuron, Journal Year: 2021, Volume and Issue: 109(5), P. 751 - 766

Published: Feb. 17, 2021

Language: Английский

Citations

236
The Functional Relevance of Task-State Functional Connectivity DOI Creative Commons
Michael W. Cole, Takuya Ito, Carrisa Cocuzza

et al.

Journal of Neuroscience, Journal Year: 2021, Volume and Issue: 41(12), P. 2684 - 2702

Published: Feb. 4, 2021

Resting-state functional connectivity has provided substantial insight into intrinsic brain network organization, yet the importance of task-related change from that organization remains unclear. Indeed, such changes are known to be small, suggesting they may have only minimal relevance. Alternatively, despite their small amplitude, these essential for ability human adaptively alter its functionality via rapid in inter-regional relationships. We used activity flow mapping-an approach building empirically derived models-to quantify task-state (above and beyond resting-state connectivity) shaping cognitive task activations (female male) brain. found could better predict independent fMRI across all 24 conditions 360 cortical regions tested. Further, we prediction accuracy was strongly driven by individual-specific patterns, while patterns other tasks (task-general still improved predictions connectivity. Additionally, since models simulate how task-evoked (which underlie behavior) generated, results provide mechanistic why prior studies correlations between individual differences behavior. These findings suggest connections play an important role dynamically reshaping shifting neural during performance.SIGNIFICANCE STATEMENT Human cognition is highly dynamic, similar rest states. hypothesized that, this overall stability, (resting-state) contribute performance. Given emerge through interactions, leveraged connectivity-based using versus This revealed increased substantially, demonstrating likely relevance dynamic processes size changes.

Language: Английский

Citations

111
Beyond task response—Pre-stimulus activity modulates contents of consciousness DOI
Georg Northoff, Federico Zilio, Jianfeng Zhang

et al.

Physics of Life Reviews, Journal Year: 2024, Volume and Issue: 49, P. 19 - 37

Published: March 4, 2024

Language: Английский

Citations

22
A cortical hierarchy of localized and distributed processes revealed via dissociation of task activations, connectivity changes, and intrinsic timescales DOI Creative Commons
Takuya Ito, Luke J. Hearne, Michael W. Cole

et al.

NeuroImage, Journal Year: 2020, Volume and Issue: 221, P. 117141 - 117141

Published: July 12, 2020

Many studies have identified the role of localized and distributed cognitive functionality by mapping either local task-related activity or functional connectivity (FC). However, few directly explored relationship between a brain region's task its FC. Here we systematically evaluated differential contributions FC changes to identify processes across cortical hierarchy. We found that multiple tasks, magnitude regional task-evoked was high in unimodal areas, but low transmodal areas. In contrast, task-state significantly reduced areas relative This revealed strong negative regions associated with previously reported principal gradient macroscale organization. Moreover, this dissociation corresponded hierarchical differences intrinsic timescale estimated from resting-state fMRI region myelin content structural MRI. Together, our results contribute growing literature illustrating representing processes.

Language: Английский

Citations

128
Flexible Coordinator and Switcher Hubs for Adaptive Task Control DOI Open Access
Carrisa Cocuzza, Takuya Ito, Douglas H. Schultz

et al.

Journal of Neuroscience, Journal Year: 2020, Volume and Issue: 40(36), P. 6949 - 6968

Published: July 30, 2020

Functional connectivity (FC) studies have identified at least two large-scale neural systems that constitute cognitive control networks, the frontoparietal network (FPN) and cingulo-opercular (CON). Control networks are thought to support goal-directed cognition behavior. It was previously shown FPN flexibly shifts its global pattern according task goal, consistent with a "flexible hub" mechanism for control. Our aim build on this finding develop functional cartography (a multimetric profile) of in terms dynamic properties. We quantified properties (male female) humans using high-control-demand paradigm involving switching among 64 sets. hypothesized is enacted by CON via distinct but complementary roles reflected dynamics. Consistent flexible "coordinator" mechanism, connections were varied across tasks, while maintaining within-network aid cross-region coordination. "switcher" regions switched other task-dependent manner, driven primarily reduced regions. This results suggests acts as dynamic, coordinator goal-relevant information, transiently disbands lend processing resources networks. dynamics reveals dissociation between prominent suggesting mechanisms underlying cognition.SIGNIFICANCE STATEMENT Cognitive supports variety behaviors requiring cognition, such rapidly tasks. Furthermore, negatively impacted mental illnesses. used tools from science characterize implementation brain systems. revealed systems, (CON) controlling reconfigurations. The exhibited (orchestrating changes), acted switcher (switching specific resources). These findings reveal an distinction processes may be applicable clinical, educational, machine learning work targeting flexibility.

Language: Английский

Citations

84
Dynamic relationships between spontaneous and evoked electrophysiological activity DOI Creative Commons
Soren Wainio‐Theberge, Annemarie Wolff, Georg Northoff

et al.

Communications Biology, Journal Year: 2021, Volume and Issue: 4(1)

Published: June 15, 2021

Spontaneous neural activity fluctuations have been shown to influence trial-by-trial variation in perceptual, cognitive, and behavioral outcomes. However, the complex electrophysiological mechanisms by which these shape stimulus-evoked remain largely be explored. Employing a large-scale magnetoencephalographic dataset an electroencephalographic replication dataset, we investigate relationship between spontaneous evoked across range of variables. We observe that for high-frequency activity, high pre-stimulus amplitudes lead greater desynchronization, while low frequencies, induce larger degrees event-related synchronization. further decompose power into oscillatory scale-free components, demonstrating different patterns spontaneous-evoked correlation each component. Finally, find correlations time-domain signals. Overall, demonstrate dynamics multiple variables exhibit distinct relationships their result carries implications experimental design analysis non-invasive electrophysiology.

Language: Английский

Citations

63
Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior DOI Creative Commons
Takuya Ito, Guangyu Robert Yang,

Patryk A. Laurent

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Feb. 3, 2022

Abstract The human ability to adaptively implement a wide variety of tasks is thought emerge from the dynamic transformation cognitive information. We hypothesized that these transformations are implemented via conjunctive activations in “conjunction hubs”—brain regions selectively integrate sensory, cognitive, and motor activations. used recent advances using functional connectivity map flow activity between brain construct task-performing neural network model fMRI data during control task. verified importance conjunction hubs computations by simulating over this empirically-estimated model. These empirically-specified simulations produced above-chance task performance (motor responses) integrating sensory rule hubs. findings reveal role supporting flexible computations, while demonstrating feasibility models gain insight into brain.

Language: Английский

Citations

43
Multitask representations in the human cortex transform along a sensory-to-motor hierarchy DOI
Takuya Ito, John D. Murray

Nature Neuroscience, Journal Year: 2022, Volume and Issue: 26(2), P. 306 - 315

Published: Dec. 19, 2022

Language: Английский

Citations

42
Rapid fluctuations in functional connectivity of cortical networks encode spontaneous behavior DOI
Hadas Benisty, Daniel Barson,

Andrew H. Moberly

et al.

Nature Neuroscience, Journal Year: 2023, Volume and Issue: 27(1), P. 148 - 158

Published: Nov. 30, 2023

Language: Английский

Citations

37
Impact of concatenating fMRI data on reliability for functional connectomics DOI Creative Commons
Jae Wook Cho, Annachiara Korchmaros, Joshua T Vogelstein

et al.

NeuroImage, Journal Year: 2020, Volume and Issue: 226, P. 117549 - 117549

Published: Nov. 26, 2020

Compelling evidence suggests the need for more data per individual to reliably map functional organization of human connectome. As notion that 'more is better' emerges as a golden rule connectomics, researchers find themselves grappling with challenges how obtain desired amounts participant in practical manner, particularly retrospective aggregation. Increasingly, aggregation across all fMRI scans available an being viewed solution, regardless scan condition (e.g., rest, task, movie). A number open questions exist regarding process and impact different decisions on reliability resultant aggregate data. We leveraged availability highly sampled test-retest datasets systematically examine strategies cortical connectomics. Specifically, we compared connectivity estimates derived after concatenating from: 1) multiple under same state, 2) states (i.e. hybrid or general connectivity), 3) subsets one long scan. also varied processing global signal regression, ICA-FIX, task regression) estimation procedures. When total time points equal, state held constant, shorter had clear advantage over single However, this was not necessarily true when conditions), where from states. Concatenating fewer numbers are reliable tends yield higher reliability. Our findings provide overview dependencies concatenation should be considered optimize analysis

Language: Английский

Citations

71