A measure centrality index for systematic empirical comparison of consciousness theories DOI Creative Commons
Robert Chis-Ciure, Lucía Melloni, Georg Northoff

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2024, Volume and Issue: 161, P. 105670 - 105670

Published: April 12, 2024

Consciousness science is marred by disparate constructs and methodologies, making it challenging to systematically compare theories. This foundational crisis casts doubts on the scientific character of field itself. Addressing it, we propose a framework for comparing consciousness theories introducing novel inter-theory classification interface, Measure Centrality Index (MCI). Recognizing its gradient distribution, MCI assesses degree importance specific empirical measure has given theory. We apply probe how measures Global Neuronal Workspace Theory (GNW), Integrated Information (IIT), Temporospatial (TTC) would fare within context other two. demonstrate that direct comparison IIT, GNW, TTC meaningful valid some like Lempel-Ziv Complexity (LZC), Autocorrelation Window (ACW), possibly Mutual (MI). In contrast, problematic others anatomical physiological neural correlates (NCC) due their MCI-based differential weightings structure sum, introduce provide proof-of-principle systematic method comparisons, thereby addressing isolated evolution confirmatory bias issues in state-of-the-art neuroscience consciousness.

Language: Английский

Intrinsic neural timescales: temporal integration and segregation DOI
Annemarie Wolff, Nareg Berberian, Mehrshad Golesorkhi

et al.

Trends in Cognitive Sciences, Journal Year: 2022, Volume and Issue: 26(2), P. 159 - 173

Published: Jan. 3, 2022

Language: Английский

Citations

162
The brain and its time: intrinsic neural timescales are key for input processing DOI Creative Commons
Mehrshad Golesorkhi, Javier Gómez‐Pilar, Federico Zilio

et al.

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

Published: Aug. 16, 2021

Abstract We process and integrate multiple timescales into one meaningful whole. Recent evidence suggests that the brain displays a complex multiscale temporal organization. Different regions exhibit different as described by concept of intrinsic neural (INT); however, their function mechanisms remains unclear. review recent literature on INT propose they are key for input processing. Specifically, shared across species, i.e., sharing. This role in encoding inputs through matching inputs’ stochastics with ongoing statistics brain’s activity, encoding. Following simulation empirical data, we point out integration versus segregation sampling deeply grounds within its environmental evolutionary context. It carries major implications understanding mental features psychiatric disorders, well going beyond integrating artificial intelligence.

Language: Английский

Citations

120
Temporo-spatial Theory of Consciousness (TTC) – Bridging the gap of neuronal activity and phenomenal states DOI
Georg Northoff, Federico Zilio

Behavioural Brain Research, Journal Year: 2022, Volume and Issue: 424, P. 113788 - 113788

Published: Feb. 8, 2022

Language: Английский

Citations

81
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
Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization DOI Creative Commons
Mehrshad Golesorkhi, Javier Gómez‐Pilar, Shankar Tumati

et al.

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

Published: March 4, 2021

Abstract The human cortex exhibits intrinsic neural timescales that shape a temporal hierarchy. Whether this hierarchy follows the spatial of its topography, namely core-periphery organization, remains an open issue. Using magnetoencephalography data, we investigate during rest and task states; measure autocorrelation window in short (ACW-50) and, introducing novel variant, long (ACW-0) windows. We demonstrate longer ACW-50 ACW-0 networks located at core compared to those periphery with states showing high ACW correlation. Calculating rest-task differences, i.e., subtracting shared reveals task-specific changes distinct networks. Finally, employing kernel density estimation, machine learning, simulation, better prediction classifying region’s time as or periphery. Overall, our findings provide fundamental insight into how cortex’s converges

Language: Английский

Citations

97
The INSIDEOUT framework provides precise signatures of the balance of intrinsic and extrinsic dynamics in brain states DOI Creative Commons
Gustavo Deco, Yonatan Sanz Perl, Hernán Bocaccio

et al.

Communications Biology, Journal Year: 2022, Volume and Issue: 5(1)

Published: June 10, 2022

Abstract Finding precise signatures of different brain states is a central, unsolved question in neuroscience. We reformulated the problem to quantify ‘inside out’ balance intrinsic and extrinsic dynamics states. The difference state can be described as differences detailed causal interactions found underlying dynamics. used thermodynamics framework breaking captured by level asymmetry temporal processing, i.e. arrow time. Specifically, was computed time-shifted correlation matrices for forward reversed time series, reflecting non-reversibility/non-equilibrium. precise, distinguishing terms reversibility hierarchy large-scale three radically (awake, deep sleep anaesthesia) electrocorticography data from non-human primates. Significantly lower levels were anaesthesia compared wakefulness. Non-wakeful also showed flatter hierarchy, diversity across brain. Overall, this provides states, perhaps conscious awareness.

Language: Английский

Citations

53
Ongoing Brain Activity and Its Role in Cognition: Dual versus Baseline Models DOI
Georg Northoff, Deniz Vatansever, Andrea Scalabrini

et al.

The Neuroscientist, Journal Year: 2022, Volume and Issue: 29(4), P. 393 - 420

Published: May 25, 2022

What is the role of brain’s ongoing activity for cognition? The predominant perspectives associate brain with resting state, default-mode network (DMN), and internally oriented mentation. This triad often contrasted task states, non-DMN networks, externally mentation, together comprising a “dual model” cognition. In opposition to this duality, however, we propose that serves as neuronal baseline; builds upon Raichle’s original search default mode function extended beyond canonical regions. That entails what refer “baseline model.” Akin an internal biological clock rest organism, may serve point reference or standard by providing shared neural code well including their associated Such manifest in spatiotemporal organization activity, its global signal topography dynamics like intrinsic timescales. We conclude recent empirical evidence supports baseline model over dual model; provides allows integrating DMN non-DMN,

Language: Английский

Citations

39
Beyond alpha power: EEG spatial and spectral gradients robustly stratify disorders of consciousness DOI Creative Commons

Michele Colombo,

Angela Comanducci, Silvia Casarotto

et al.

Cerebral Cortex, Journal Year: 2023, Volume and Issue: 33(11), P. 7193 - 7210

Published: Jan. 26, 2023

Abstract Neurophysiological markers can overcome the limitations of behavioural assessments Disorders Consciousness (DoC). EEG alpha power emerged as a promising marker for DoC, although long-standing literature reported being sustained during anesthetic-induced unconsciousness, and reduced dreaming hallucinations. We hypothesized that suppression caused by severe anoxia could explain this conflict. Accordingly, we split DoC patients (n = 87) in postanoxic non-postanoxic cohorts. Alpha was suppressed only postanoxia but failed to discriminate un/consciousness other aetiologies. Furthermore, it did not generalize an independent reference dataset 65) neurotypical, neurological, anesthesia conditions. then investigated spatio-spectral gradients, reflecting anteriorization slowing, alternative markers. In these features, combined bivariate model, reliably stratified indexed consciousness, even unresponsive identified conscious neural (the Perturbational Complexity Index). Crucially, model optimally generalized dataset. Overall, does index consciousness; rather, its entails diffuse cortical damage, patients. As alternative, distinct pathophysiological mechanisms, jointly provide robust, parsimonious, generalizable whose clinical application may guide rehabilitation efforts.

Language: Английский

Citations

30
Intrinsic neural timescales mediate the cognitive bias of self – temporal integration as key mechanism DOI Creative Commons
Angelika Wolman, Yasir Çatal, Annemarie Wolff

et al.

NeuroImage, Journal Year: 2023, Volume and Issue: 268, P. 119896 - 119896

Published: Jan. 21, 2023

Our perceptions and decisions are not always objectively correct as they featured by a bias related to our self. What the behavioral, neural, computational mechanisms of such cognitive bias? Addressing this yet unresolved question, we here investigate whether is temporal integration segregation mediated brain's Intrinsic neural timescales (INT). Using Signal Detection Theory (SDT), operationalize Criterion C distinguished from sensitivity index d’. This was probed in self-task based on morphed self- other faces. Behavioral data demonstrate clear bias, i.e., C. That EEG-based INT measured autocorrelation window (ACW) especially transmodal regions dorsolateral prefrontal cortex (dlPFC) default-mode network (DMN) distinct unimodal visual cortex. Finally, simulation same paradigm large-scale model shows high degrees temporally inputs CMS/DMN dlPFC while predominates Together, key role INT-based including its relation uni-transmodal topographical organization mediating

Language: Английский

Citations

28
Neural timescales reflect behavioral demands in freely moving rhesus macaques DOI Creative Commons
Ana M.G. Manea, David J.-N. Maisson, Benjamin Voloh

et al.

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

Published: March 9, 2024

Previous work demonstrated a highly reproducible cortical hierarchy of neural timescales at rest, with sensory areas displaying fast, and higher-order association slower timescales. The question arises how such stable hierarchies give rise to adaptive behavior that requires flexible adjustment temporal coding integration demands. Potentially, this lack variability in the hierarchical organization could reflect structure laboratory contexts. We posit unconstrained paradigms are ideal test whether dynamics behavioral Here we measured local field potential activity while male rhesus macaques foraged an open space. found differs from previous work. Importantly, although magnitude expanded task engagement, brain areas' relative position was stable. Next, change is dynamic contains functionally-relevant information, differentiating between similar events terms motor demands associated reward. Finally, differentially affected by these These results demonstrate space anatomically constrained, observed dependent on

Language: Английский

Citations

11