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期刊名:Network neuroscience

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ISSN:2472-1751

e-ISSN:2472-1751

IF/分区:3.1/Q2

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Chenglin Lou,Alexandra M Cross,Lien Peters et al. Chenglin Lou et al.
We examined how thalamocortical connectivity structure reflects children's reading performance. Diffusion-weighted MRI at 3 T and a series of reading measures were collected from 64 children (33 girls) ages 8-14 years with and without dysle...
Takuya Ito,John D Murray Takuya Ito
State-dependent neural correlations can be understood from a neural coding framework. Noise correlations-trial-to-trial or moment-to-moment covariability-can be interpreted only if the underlying signal correlation-similarity of task select...
Gerard Martí-Juan,Jaume Sastre-Garriga,Angela Vidal-Jordana et al. Gerard Martí-Juan et al.
Multiple sclerosis (MS) is a neurodegenerative disease that affects the central nervous system. Structures affected in MS include the corpus callosum, connecting the hemispheres. Studies have shown that in mammalian brains, structural conne...
Suhnyoung Jun,Stephen M Malone,Thomas H Alderson et al. Suhnyoung Jun et al.
Time-varying changes in whole-brain connectivity patterns, or connectome state dynamics, hold significant implications for cognition. However, connectome dynamics at fast (>1 Hz) timescales highly relevant to cognition are poorly understood...
Marilyn Gatica,Cyril Atkinson-Clement,Pedro A M Mediano et al. Marilyn Gatica et al.
Low-intensity transcranial ultrasound stimulation (TUS) is a noninvasive technique that safely alters neural activity, reaching deep brain areas with good spatial accuracy. We investigated the effects of TUS in macaques using a recent metri...
Suhnyoung Jun,Thomas H Alderson,Stephen M Malone et al. Suhnyoung Jun et al.
Time-varying changes in whole-brain connectivity patterns, or connectome state dynamics, are a prominent feature of brain activity with broad functional implications. While infraslow (
Rubén Herzog,Pedro A M Mediano,Fernando E Rosas et al. Rubén Herzog et al.
Different whole-brain computational models have been recently developed to investigate hypotheses related to brain mechanisms. Among these, the Dynamic Mean Field (DMF) model is particularly attractive, combining a biophysically realistic m...
Om Roy,Yashar Moshfeghi,Agustin Ibanez et al. Om Roy et al.
Measuring transient functional connectivity is an important challenge in electroencephalogram (EEG) research. Here, the rich potential for insightful, discriminative information of brain activity offered by high-temporal resolution is confo...
Luz Bavassi,Lluís Fuentemilla Luz Bavassi
Memories are thought to use coding schemes that dynamically adjust their representational structure to maximize both persistence and efficiency. However, the nature of these coding scheme adjustments and their impact on the temporal evoluti...
Yuanzhe Liu,Caio Seguin,Richard F Betzel et al. Yuanzhe Liu et al.
Connectome generative models, otherwise known as generative network models, provide insight into the wiring principles underpinning brain network organization. While these models can approximate numerous statistical properties of empirical ...