Intrinsic neural timescales: temporal integration and segregation

A Wolff, N Berberian, M Golesorkhi… - Trends in cognitive …, 2022 - cell.com
We are continuously bombarded by external inputs of various timescales from the
environment. How does the brain process this multitude of timescales? Recent resting state …

[HTML][HTML] The brain and its time: intrinsic neural timescales are key for input processing

M Golesorkhi, J Gomez-Pilar, F Zilio… - Communications …, 2021 - nature.com
We process and integrate multiple timescales into one meaningful whole. Recent evidence
suggests that the brain displays a complex multiscale temporal organization. Different …

[HTML][HTML] Connectomics of human electrophysiology

S Sadaghiani, MJ Brookes, S Baillet - NeuroImage, 2022 - Elsevier
We present both a scientific overview and conceptual positions concerning the challenges
and assets of electrophysiological measurements in the search for the nature and functions …

When makes you unique: Temporality of the human brain fingerprint

D Van De Ville, Y Farouj, MG Preti, R Liégeois… - Science …, 2021 - science.org
The extraction of “fingerprints” from human brain connectivity data has become a new
frontier in neuroscience. However, the time scales of human brain identifiability are still …

[HTML][HTML] Neurophysiological signatures of cortical micro-architecture

G Shafiei, BD Fulcher, B Voytek… - Nature …, 2023 - nature.com
Systematic spatial variation in micro-architecture is observed across the cortex. These micro-
architectural gradients are reflected in neural activity, which can be captured by …

[HTML][HTML] Human electromagnetic and haemodynamic networks systematically converge in unimodal cortex and diverge in transmodal cortex

G Shafiei, S Baillet, B Misic - PLoS biology, 2022 - journals.plos.org
Whole-brain neural communication is typically estimated from statistical associations among
electromagnetic or haemodynamic time-series. The relationship between functional network …

In sync with your child: the potential of parent–child electroencephalography in developmental research

E Turk, J Vroomen, Y Fonken, J Levy… - Developmental …, 2022 - Wiley Online Library
Healthy interaction between parent and child is foundational for the child's socioemotional
development. Recently, an innovative paradigm shift in electroencephalography (EEG) …

Complex topology meets simple statistics

S Wang, C Chang - Nature Neuroscience, 2023 - nature.com
In this issue, Shinn et al. demonstrate a close relationship between complex brain network
topology and lower-level statistical properties of neuroimaging data. They also highlight the …

Controversies and progress on standardization of large-scale brain network nomenclature

LQ Uddin, RF Betzel, JR Cohen… - Network …, 2023 - direct.mit.edu
Progress in scientific disciplines is accompanied by standardization of terminology. Network
neuroscience, at the level of macroscale organization of the brain, is beginning to confront …

[HTML][HTML] An isotropic EPI database and analytical pipelines for rat brain resting-state fMRI

SH Lee, MA Broadwater, W Ban, TWW Wang, HJ Kim… - Neuroimage, 2021 - Elsevier
Resting-state functional magnetic resonance imaging (fMRI) has drastically expanded the
scope of brain research by advancing our knowledge about the topologies, dynamics, and …