A Synergistic Workspace for Human Consciousness Revealed by Integrated Information Decomposition DOI Open Access
Andrea I. Luppi, Pedro A. M. Mediano, Fernando Rosas

et al.

Published: July 25, 2023

A central goal of neuroscience is to understand how the brain orchestrates information from multiple input streams into a unified conscious experience. Here, we address two fundamental questions: human information-processing architecture functionally organised, and does its organisation support consciousness? We combine network science rigorous information-theoretic notion synergy delineate “synergistic global workspace”, comprising gateway regions that gather synergistic specialised modules across brain. This then integrated within workspace widely distributed via broadcaster regions. Through functional MRI analysis, show correspond brain’s default mode network, whereas broadcasters coincide with executive control network. Demonstrating empirical relevance our proposed for neural processing, loss consciousness due general anaesthesia or disorders corresponds diminished ability integrate information, which restored upon recovery. Thus, coincides breakdown integration work contributes conceptual reconciliation between prominent scientific theories consciousness, Global Neuronal Workspace Integrated Information Theory. Taken together, this provides new perspective on role resting-state networks architecture, while also advancing understanding supports through information.

Language: Английский

Pattern breaking: a complex systems approach to psychedelic medicine DOI Creative Commons
Inês Hipólito, Jonas Mago, Fernando Rosas

et al.

Neuroscience of Consciousness, Journal Year: 2023, Volume and Issue: 2023(1)

Published: Jan. 1, 2023

Recent research has demonstrated the potential of psychedelic therapy for mental health care. However, psychological experience underlying its therapeutic effects remains poorly understood. This paper proposes a framework that suggests psychedelics act as destabilizers, both psychologically and neurophysiologically. Drawing on 'entropic brain' hypothesis 'RElaxed Beliefs Under pSychedelics' model, this focuses richness experience. Through complex systems theory perspective, we suggest destabilize fixed points or attractors, breaking reinforced patterns thinking behaving. Our approach explains how psychedelic-induced increases in brain entropy neurophysiological set lead to new conceptualizations psychotherapy. These insights have important implications risk mitigation treatment optimization medicine, during peak subacute period recovery.

Language: Английский

Citations

39

A synergistic workspace for human consciousness revealed by Integrated Information Decomposition DOI Creative Commons
Andrea I. Luppi, Pedro A. M. Mediano, Fernando Rosas

et al.

eLife, Journal Year: 2023, Volume and Issue: 12

Published: July 25, 2023

How is the information-processing architecture of human brain organised, and how does its organisation support consciousness? Here, we combine network science a rigorous information-theoretic notion synergy to delineate ‘synergistic global workspace’, comprising gateway regions that gather synergistic information from specialised modules across brain. This then integrated within workspace widely distributed via broadcaster regions. Through functional MRI analysis, show correspond brain’s default mode network, whereas broadcasters coincide with executive control network. We find loss consciousness due general anaesthesia or disorders corresponds diminished ability integrate information, which restored upon recovery. Thus, coincides breakdown integration work contributes conceptual empirical reconciliation between two prominent scientific theories consciousness, Global Neuronal Workspace Integrated Information Theory, while also advancing our understanding supports through information.

Language: Английский

Citations

31

Brain states as wave-like motifs DOI
Maya Foster, Dustin Scheinost

Trends in Cognitive Sciences, Journal Year: 2024, Volume and Issue: 28(6), P. 492 - 503

Published: April 5, 2024

Language: Английский

Citations

10

DySCo: A general framework for dynamic functional connectivity DOI Creative Commons
Giuseppe de Alteriis,

Oliver Sherwood,

Alessandro Ciaramella

et al.

PLoS Computational Biology, Journal Year: 2025, Volume and Issue: 21(3), P. e1012795 - e1012795

Published: March 7, 2025

A crucial challenge in neuroscience involves characterising brain dynamics from high-dimensional recordings. Dynamic Functional Connectivity (dFC) is an analysis paradigm that aims to address this challenge. dFC consists of a time-varying matrix (dFC matrix) expressing how pairwise interactions across areas change over time. However, the main approaches have been developed and applied mostly empirically, lacking common theoretical framework clear view on interpretation results derived matrices. Moreover, community has not using most efficient algorithms compute process matrices efficiently, which prevented showing its full potential with datasets and/or real-time applications. In paper, we introduce Symmetric Matrix (DySCo), associated repository. DySCo presents commonly used measures language implements them computationally way. This allows study activity at different spatio-temporal scales, down voxel level. provides single to: (1) Use as tool capture interaction patterns data form easily translatable imaging modalities. (2) Provide comprehensive set quantify properties evolution time: amount connectivity, similarity between matrices, their informational complexity. By combining it possible perform analysis. (3) Leverage Temporal Covariance EVD algorithm (TCEVD) store eigenvectors values then also EVD. Developing eigenvector space orders magnitude faster more memory than naïve space, without loss information. The methodology here validated both synthetic dataset rest/N-back task experimental fMRI Human Connectome Project dataset. We show all proposed are sensitive changes configurations consistent time subjects. To illustrate computational efficiency toolbox, performed level, demanding but afforded by TCEVD.

Language: Английский

Citations

1

Evolutionarily conserved fMRI network dynamics in the mouse, macaque, and human brain DOI Creative Commons
Daniel Gutierrez‐Barragan, Julian S.B. Ramirez, Stefano Panzeri

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Oct. 2, 2024

Evolutionarily relevant networks have been previously described in several mammalian species using time-averaged analyses of fMRI time-series. However, network activity is highly dynamic and continually evolves over timescales seconds. Whether the organization resting-state conserved across remains unclear. Using frame-wise clustering time-series, we find that intrinsic dynamics awake male macaques humans characterized by recurrent transitions between a set 4 dominant, neuroanatomically homologous coactivation modes (C-modes), three which are also plausibly represented rodent brain. Importantly, all C-modes exhibit species-invariant features, including preferred occurrence at specific phases global signal fluctuations, state transition structure compatible with infraslow coupled oscillator dynamics. Moreover, dominant C-mode reconstitutes static connectome species, predictive ranking corresponding connectivity gradients. These results reveal principles underlying offer novel opportunities to relate findings phylogenetic tree.

Language: Английский

Citations

8

A synergistic workspace for human consciousness revealed by Integrated Information Decomposition DOI Creative Commons
Andrea I. Luppi, Pedro A. M. Mediano, Fernando Rosas

et al.

eLife, Journal Year: 2024, Volume and Issue: 12

Published: July 18, 2024

How is the information-processing architecture of human brain organised, and how does its organisation support consciousness? Here, we combine network science a rigorous information-theoretic notion synergy to delineate ‘synergistic global workspace’, comprising gateway regions that gather synergistic information from specialised modules across brain. This then integrated within workspace widely distributed via broadcaster regions. Through functional MRI analysis, show correspond brain’s default mode network, whereas broadcasters coincide with executive control network. We find loss consciousness due general anaesthesia or disorders corresponds diminished ability integrate information, which restored upon recovery. Thus, coincides breakdown integration work contributes conceptual empirical reconciliation between two prominent scientific theories consciousness, Global Neuronal Workspace Integrated Information Theory, while also advancing our understanding supports through information.

Language: Английский

Citations

7

The COMBO window: A chronic cranial implant for multiscale circuit interrogation in mice DOI Creative Commons
Bradley J. Edelman, Dominique Siegenthaler,

Paulina Wanken

et al.

PLoS Biology, Journal Year: 2024, Volume and Issue: 22(6), P. e3002664 - e3002664

Published: June 3, 2024

Neuroscientists studying the neural correlates of mouse behavior often lack access to brain-wide activity patterns elicited during a specific task interest. Fortunately, large-scale imaging is becoming increasingly accessible thanks modalities such as Ca2+ and functional ultrasound (fUS). However, these other techniques involve challenging cranial window procedures are difficult combine with neuroscience tools. We address this need an open-source 3D-printable implant-the COMBO (ChrOnic Multimodal Behavioral Observation) window. The enables chronic large portions brain in head-fixed mice while preserving orofacial movements. validate stability using both fUS multisite two-photon imaging. Moreover, we demonstrate how facilitates combination optogenetics, fUS, electrophysiology same animals study effects circuit perturbations at single-neuron level. Overall, provides versatile solution for performing multimodal recordings mice.

Language: Английский

Citations

5

A Synergistic Workspace for Human Consciousness Revealed by Integrated Information Decomposition DOI Creative Commons
Andrea I. Luppi, Pedro A. M. Mediano, Fernando Rosas

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2020, Volume and Issue: unknown

Published: Nov. 26, 2020

Abstract A central goal of neuroscience is to understand how the brain orchestrates information from multiple input streams into a unified conscious experience. Here, we address two fundamental questions: human information-processing architecture functionally organised, and does its organisation support consciousness? We combine network science rigorous information-theoretic notion synergy delineate “synergistic global workspace”, comprising gateway regions that gather synergistic specialised modules across brain. This then integrated within workspace widely distributed via broadcaster regions. Through functional MRI analysis, show correspond brain’s default mode network, whereas broadcasters coincide with executive control network. Demonstrating empirical relevance our proposed for neural processing, loss consciousness due general anaesthesia or disorders corresponds diminished ability integrate information, which restored upon recovery. Thus, coincides breakdown integration work contributes conceptual reconciliation between prominent scientific theories consciousness, Global Neuronal Workspace Integrated Information Theory. Taken together, this provides new perspective on role resting-state networks architecture, while also advancing understanding supports through information.

Language: Английский

Citations

39

Connectivity gradients in spontaneous brain activity at multiple frequency bands DOI
Zhu-Qing Gong, Xi‐Nian Zuo

Cerebral Cortex, Journal Year: 2023, Volume and Issue: 33(17), P. 9718 - 9728

Published: June 28, 2023

Abstract The intrinsic organizational structure of the brain is reflected in spontaneous oscillations. Its functional integration and segregation hierarchy have been discovered space by leveraging gradient approaches to low-frequency connectivity. This oscillations has not yet fully understood, since previous studies mainly concentrated on from a single limited frequency range (~ 0.01–0.1 Hz). In this work, we extended performed analysis across multiple bands fast resting-state fMRI signals Human Connectome Project condensed frequency-rank cortical map highest gradient. We found that coarse skeletons organization are generalizable bands. Beyond that, levels connectivity vary domain different large-scale networks. These findings replicated another independent dataset demonstrated networks can integrate information at varying rates, indicating significance examining architecture activity perspective

Language: Английский

Citations

12

Commentary on Pang et al. (2023)Nature DOI Creative Commons
Joshua Faskowitz, Daniel Moyer, Daniel A. Handwerker

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: July 22, 2023

Abstract Pang et al. (2023) present novel analyses demonstrating that brain dynamics can be understood as resulting from the excitation of geometric modes, derived shape brain. Notably, they demonstrate linear combinations modes reconstruct patterns fMRI data more accurately, and with fewer dimensions, than comparable connectivity-derived modes. Equipped these results, underpinned by neural field theory, authors contend geometry cortical surface provides a parsimonious explanation activity structural connectivity. This claim runs counter to prevailing theories information flow in brain, which emphasize role long-distance axonal projections fasciculated white matter relaying signals between regions (Honey 2009; Deco 2011; Seguin al., 2023). While we acknowledge plays an important shaping human function, feel presented work falls short establishing brain’s is “a fundamental constraint on complex interregional connectivity” (Pang Here, provide 1) brief critique paper’s framing 2) evidence showing their methodology lacks specificity orientation shape. Ultimately, recognize mode approach powerful representational framework for analysis, but also believe there are key caveats consider alongside claims made manuscript.

Language: Английский

Citations

11