Asymmetric signaling across the hierarchy of cytoarchitecture within the human connectome DOI Creative Commons
Linden Parkes,

Jason Z. Kim,

Jennifer Stiso

et al.

Science Advances, Journal Year: 2022, Volume and Issue: 8(50)

Published: Dec. 14, 2022

Cortical variations in cytoarchitecture form a sensory-fugal axis that shapes regional profiles of extrinsic connectivity and is thought to guide signal propagation integration across the cortical hierarchy. While neuroimaging work has shown this constrains local properties human connectome, it remains unclear whether also asymmetric signaling arises from higher-order topology. Here, we used network control theory examine amount energy required propagate dynamics axis. Our results revealed an asymmetry energy, indicating bottom-up transitions were easier complete compared top-down. Supporting analyses demonstrated asymmetries underpinned by connectome topology wired support efficient signaling. Lastly, found correlated with differences communicability intrinsic neuronal time scales lessened throughout youth. show variation may formation macroscopic

Language: Английский

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

80

Information decomposition and the informational architecture of the brain DOI Creative Commons
Andrea I. Luppi, Fernando Rosas, Pedro A. M. Mediano

et al.

Trends in Cognitive Sciences, Journal Year: 2024, Volume and Issue: 28(4), P. 352 - 368

Published: Jan. 9, 2024

To explain how the brain orchestrates information-processing for cognition, we must understand information itself. Importantly, is not a monolithic entity. Information decomposition techniques provide way to split into its constituent elements: unique, redundant, and synergistic information. We review disentangling redundant interactions redefining our understanding of integrative function neural organisation. navigates trade-offs between redundancy synergy, converging evidence integrating structural, molecular, functional underpinnings synergy redundancy; their roles in cognition computation; they might arise over evolution development. Overall, provides guiding principle informational architecture cognition.

Language: Английский

Citations

62

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

A synergetic turn in cognitive neuroscience of brain diseases DOI
Agustín Ibáñez, Morten L. Kringelbach, Gustavo Deco

et al.

Trends in Cognitive Sciences, Journal Year: 2024, Volume and Issue: 28(4), P. 319 - 338

Published: Jan. 21, 2024

Language: Английский

Citations

23

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

21

Multi-timescale neural dynamics for multisensory integration DOI
Daniel Senkowski, Andreas K. Engel

Nature reviews. Neuroscience, Journal Year: 2024, Volume and Issue: 25(9), P. 625 - 642

Published: Aug. 1, 2024

Language: Английский

Citations

19

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

Crossmodal plasticity in hearing loss DOI Creative Commons
Andrej Kral, Anu Sharma

Trends in Neurosciences, Journal Year: 2023, Volume and Issue: 46(5), P. 377 - 393

Published: March 27, 2023

Crossmodal plasticity is a textbook example of the ability brain to reorganize based on use. We review evidence from auditory system showing that such reorganization has significant limits, dependent pre-existing circuitry and top-down interactions, extensive often absent. argue does not support hypothesis crossmodal responsible for closing critical periods in deafness, instead represents neuronal process dynamically adaptable. evaluate changes both developmental adult-onset which start as early mild-moderate hearing loss show reversibility when restored. Finally, appear affect preconditions successful restoration. Given its dynamic versatile nature, we describe how this can be exploited improving clinical outcomes after neurosensory

Language: Английский

Citations

41