Temporal continuity of self: Long autocorrelation windows mediate self-specificity DOI Creative Commons
David Smith, Annemarie Wolff, Angelika Wolman

et al.

NeuroImage, Journal Year: 2022, Volume and Issue: 257, P. 119305 - 119305

Published: May 11, 2022

The self is characterized by an intrinsic temporal component consisting in continuity across time. On the neural level, this manifests brain's timescales (INT) that can be measured autocorrelation window (ACW). Recent EEG studies reveal a relationship between resting state ACW and self-consciousness. However, it remains unclear whether exhibits different degrees of task-related changes during self-specific compared to non-self-specific activities. To end, participants our study initially recorded eight-minute autobiographical narrative. Following resting-state session, were presented with their own narrative stranger while undergoing concurrent recording. Behaviorally, subjects evaluated both narratives indicated perceptions positivity or negativity on moment-to-moment basis positioning cursor relative center computer screen. Our results indicate: (a) greater spatial extension velocity behavioral movement assessment non-self assessment; (b) longer ACWs response self- rest. These findings demonstrate importance windows activity for self-specificity. More broadly, highlight relevance level. Such may, correspondingly, also manifest psychological level as "common currency" brain self.

Language: Английский

How critical is brain criticality? DOI
Jordan O’Byrne, Karim Jerbi

Trends in Neurosciences, Journal Year: 2022, Volume and Issue: 45(11), P. 820 - 837

Published: Sept. 9, 2022

Language: Английский

Citations

167

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

Toward naturalistic neuroscience: Mechanisms underlying the flattening of brain hierarchy in movie-watching compared to rest and task DOI Creative Commons
Morten L. Kringelbach, Yonatan Sanz Perl, Enzo Tagliazucchi

et al.

Science Advances, Journal Year: 2023, Volume and Issue: 9(2)

Published: Jan. 13, 2023

Identifying the functional specialization of brain has moved from using cognitive tasks and resting state to ecological relevant, naturalistic movies. We leveraged a large-scale neuroimaging dataset directly investigate hierarchical reorganization activity when watching films compared performing seven resting. A thermodynamics-inspired whole-brain model paradigm revealed generative underlying mechanisms for changing balance in causal interactions between regions different conditions. Paradoxically, hierarchy is flatter movie-watching, level nonreversibility significantly smaller comparison both rest tasks, where latter turn have highest levels nonreversibility. The were by model-based effective connectivity (GEC). Naturalistic could therefore provide fast convenient way measure important changes GEC (integrating anatomical connectivity) found in, example, neuropsychiatric disorders. Overall, this study demonstrates benefits moving toward more neuroscience.

Language: Английский

Citations

60

Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics DOI Creative Commons
Hanle Zheng, Zheng Zhong, Rui Hu

et al.

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

Published: Jan. 4, 2024

It is widely believed the brain-inspired spiking neural networks have capability of processing temporal information owing to their dynamic attributes. However, how understand what kind mechanisms contributing learning ability and exploit rich properties satisfactorily solve complex computing tasks in practice still remains be explored. In this article, we identify importance capturing multi-timescale components, based on which a multi-compartment model with dendritic heterogeneity, proposed. The enables dynamics by automatically heterogeneous timing factors different branches. Two breakthroughs are made through extensive experiments: working mechanism proposed revealed via an elaborated XOR problem analyze feature integration at levels; comprehensive performance benefits over ordinary achieved several benchmarks for speech recognition, visual electroencephalogram signal robot place shows best-reported accuracy compactness, promising robustness generalization, high execution efficiency neuromorphic hardware. This work moves significant step toward real-world applications appropriately exploiting biological observations.

Language: Английский

Citations

34

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

Is depression a global brain disorder with topographic dynamic reorganization? DOI Creative Commons
Georg Northoff, Dušan Hirjak

Translational Psychiatry, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 5, 2024

Abstract Major depressive disorder (MDD) is characterized by a multitude of psychopathological symptoms including affective, cognitive, perceptual, sensorimotor, and social. The neuronal mechanisms underlying such co-occurrence remain yet unclear. Rather than linking localizing single to specific regions or networks, this perspective proposes more global dynamic topographic approach. We first review recent findings on brain activity changes during both rest task states in MDD showing reorganization with shift from unimodal transmodal regions. Next, we out two candidate that may underlie mediate abnormal uni-/transmodal topography, namely shifts shorter longer timescales abnormalities the excitation-inhibition balance. Finally, show how relates various their co-occurrence. This amounts what describe as ‘Topographic reorganization’ which extends our earlier ‘Resting state hypothesis depression’ complements other models MDD.

Language: Английский

Citations

17

Neuroscience and architecture: Modulating behavior through sensorimotor responses to the built environment DOI Creative Commons
Zakaria Djebbara, Ole B. Jensen, Francisco J. Parada

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2022, Volume and Issue: 138, P. 104715 - 104715

Published: May 30, 2022

As we move through the world, natural and built environments implicitly guide behavior by appealing to certain sensory motor dynamics. This process can be motivated automatic attention environmental features that resonate with specific sensorimotor responses. review aims at providing a psychobiological framework describing how lead automated responses defined neurophysiological mechanisms underlying attention. Through use of processes in subsets cortical structures, goal this is describe on neuronal level functional link between designed environment By distinguishing elaborate employs for adaptation. realized thalamo-cortical network integrating aspects behavior. We highlight transthalamic transmission from an Enactive predictive perspective recent studies effectively modulated systematically manipulating features. end suggesting promising combination neuroimaging computational analysis future studies.

Language: Английский

Citations

43

Consciousness in a Rotor? Science and Ethics of Potentially Conscious Human Cerebral Organoids DOI
Federico Zilio, Andrea Lavazza

AJOB Neuroscience, Journal Year: 2023, Volume and Issue: 14(2), P. 178 - 196

Published: Feb. 15, 2023

Human cerebral organoids are three-dimensional biological cultures grown in the laboratory to mimic as closely possible cellular composition, structure, and function of corresponding organ, brain. For now, lack blood vessels other characteristics human brain, but also capable having coordinated electrical activity. They have been usefully employed for study several diseases development nervous system unprecedented ways. Research on is proceeding at a very fast pace their complexity bound improve. This raises question whether will be able develop unique feature consciousness. If this case, some ethical issues would arise. In article, we discuss necessary neural correlates constraints emergence consciousness according most debated neuroscientific theories. Based this, consider what moral status potentially conscious brain organoid might be, light ontological arguments. We conclude by proposing precautionary principle leads further investigation. particular, outcomes recent experiments entities potential new kind.

Language: Английский

Citations

31

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

Multi-view manifold learning of human brain-state trajectories DOI Open Access
Erica L. Busch, Jessie Huang,

Andrew Benz

et al.

Nature Computational Science, Journal Year: 2023, Volume and Issue: 3(3), P. 240 - 253

Published: March 27, 2023

Language: Английский

Citations

23