Brain states as wave-like motifs

M Foster, D Scheinost - Trends in Cognitive Sciences, 2024 - cell.com
There is ample evidence of wave-like activity in the brain at multiple scales and levels. This
emerging literature supports the broader adoption of a wave perspective of brain activity …

Brain–body states embody complex temporal dynamics

DS Kluger, MG Allen, J Gross - Trends in Cognitive Sciences, 2024 - cell.com
We propose a computational framework for high-dimensional brain–body states as transient
embodiments of nested internal and external dynamics governed by interoception. Unifying …

Improving power in functional magnetic resonance imaging by moving beyond cluster-level inference

S Noble, AF Mejia, A Zalesky, D Scheinost - Proceedings of the National …, 2022 - pnas.org
Inference in neuroimaging typically occurs at the level of focal brain areas or circuits. Yet,
increasingly, well-powered studies paint a much richer picture of broad-scale effects …

Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics

H Song, WM Shim, MD Rosenberg - Elife, 2023 - elifesciences.org
Cognition and attention arise from the adaptive coordination of neural systems in response
to external and internal demands. The low-dimensional latent subspace that underlies large …

The tip of the iceberg: A call to embrace anti-localizationism in human neuroscience research

S Noble, J Curtiss, L Pessoa, D Scheinost - Imaging Neuroscience, 2024 - direct.mit.edu
Human neuroscience research remains largely preoccupied with map** distinct brain
areas to complex psychological processes and features of mental health disorders. While …

Numerical bifurcation analysis of PDEs from lattice Boltzmann model simulations: a parsimonious machine learning approach

E Galaris, G Fabiani, I Gallos, I Kevrekidis… - Journal of Scientific …, 2022 - Springer
We address a three-tier data-driven approach for the numerical solution of the inverse
problem in Partial Differential Equations (PDEs) and for their numerical bifurcation analysis …

Multi-view manifold learning of human brain-state trajectories

EL Busch, J Huang, A Benz, T Wallenstein… - Nature computational …, 2023 - nature.com
The complexity of the human brain gives the illusion that brain activity is intrinsically high-
dimensional. Nonlinear dimensionality-reduction methods such as uniform manifold …

Cognitive and neural state dynamics of narrative comprehension

H Song, B Park, H Park, WM Shim - Journal of Neuroscience, 2021 - jneurosci.org
Narrative comprehension involves a constant interplay of the accumulation of incoming
events and their integration into a coherent structure. This study characterizes cognitive …

Rapid fluctuations in functional connectivity of cortical networks encode spontaneous behavior

H Benisty, D Barson, AH Moberly, S Lohani… - Nature …, 2024 - nature.com
Experimental work across species has demonstrated that spontaneously generated
behaviors are robustly coupled to variations in neural activity within the cerebral cortex …

Integration and segregation manifolds in the brain ensure cognitive flexibility during tasks and rest

K Capouskova, G Zamora‐López… - Human brain …, 2023 - Wiley Online Library
Adapting to a constantly changing environment requires the human brain to flexibly switch
among many demanding cognitive tasks, processing both specialized and integrated …