Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Ben D. Fulcher"'
Autor:
Tracey Chau, Jeggan Tiego, Louise E. Brown, Olivia J. Mellahn, Beth P. Johnson, Aurina Arnatkeviciute, Ben D. Fulcher, Natasha Matthews, Mark A. Bellgrove
Publikováno v:
JCPP Advances, Vol 4, Iss 2, Pp n/a-n/a (2024)
Abstract Background Autistic traits are often reported to be elevated in children diagnosed with attention‐deficit/hyperactivity disorder (ADHD). However, the distribution of subclinical autistic traits in children with ADHD has not yet been establ
Externí odkaz:
https://doaj.org/article/c21f793c403c430b9a95fb498a540b5e
Autor:
Golia Shafiei, Ben D. Fulcher, Bradley Voytek, Theodore D. Satterthwaite, Sylvain Baillet, Bratislav Misic
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract 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 neurophysiological time-series. How spontaneous neurophysiologic
Externí odkaz:
https://doaj.org/article/dbd7712e56de47bbb264873f7d093140
Publikováno v:
Physical Review X, Vol 14, Iss 3, p 031021 (2024)
Many real-world systems undergo abrupt changes in dynamics as they move across critical points, often with dramatic and irreversible consequences. Much existing theory on identifying the time-series signatures of nearby critical points, such as incre
Externí odkaz:
https://doaj.org/article/597f13a20fbc4fb8a92d87a58ce44b22
Autor:
Aurina Arnatkeviciute, Ben D. Fulcher, Stuart Oldham, Jeggan Tiego, Casey Paquola, Zachary Gerring, Kevin Aquino, Ziarih Hawi, Beth Johnson, Gareth Ball, Marieke Klein, Gustavo Deco, Barbara Franke, Mark A. Bellgrove, Alex Fornito
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
How genes sculpt the complex architecture of the human connectome remains unclear. Here, the authors show that genes preferentially influence the strength of connectivity between functionally valuable, metabolically costly connections between brain n
Externí odkaz:
https://doaj.org/article/d2ca80b7dfdb42b8bba8ca8fcfa0dbfb
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Identifying enriched gene sets in transcriptomic data is routine analysis. Here, the authors show that conventional gene category enrichment analysis (GCEA) applied to brain-wide atlas data yields biased results and develop a flexible ensemble-based
Externí odkaz:
https://doaj.org/article/a043385931fd4415a4b3a9fa307ff145
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
New brain atlases with high spatial resolution and whole-brain coverage have rapidly advanced our knowledge of the brain's neural architecture, including the systematic variation of excitatory and inhibitory cell densities across the mammalian cortex
Externí odkaz:
https://doaj.org/article/f9fb1d026499430e8ca369860b29142e
Autor:
John Fallon, Phillip G. D. Ward, Linden Parkes, Stuart Oldham, Aurina Arnatkevičiūtė, Alex Fornito, Ben D. Fulcher
Publikováno v:
Network Neuroscience, Vol 4, Iss 3, Pp 788-806 (2020)
AbstractIntrinsic timescales of activity fluctuations vary hierarchically across the brain. This variation reflects a broad gradient of functional specialization in information storage and processing, with integrative association areas displaying slo
Externí odkaz:
https://doaj.org/article/e7cd9439e39544b4869baf42d5ef0e5e
Publikováno v:
NeuroImage, Vol 244, Iss , Pp 118570- (2021)
The integration of modern neuroimaging methods with genetically informative designs and data can shed light on the molecular mechanisms underlying the structural and functional organization of the human connectome. Here, we review studies that have i
Externí odkaz:
https://doaj.org/article/56282d497bd546cc9b2953470aca0882
Publikováno v:
NeuroImage, Vol 224, Iss , Pp 117395- (2021)
The structure of the adult brain is the result of complex physical mechanisms acting in three-dimensional space through development. Consequently, the brain’s spatial embedding plays a key role in its organization, including the gradient-like patte
Externí odkaz:
https://doaj.org/article/fc55c74e95e94ddf96a13163e893f06f
Publikováno v:
NeuroImage, Vol 212, Iss , Pp 116614- (2020)
One of the most controversial procedures in the analysis of resting-state functional magnetic resonance imaging (rsfMRI) data is global signal regression (GSR): the removal, via linear regression, of the mean signal averaged over the entire brain. On
Externí odkaz:
https://doaj.org/article/d6d9dbff90884e85946cc4a4887d1f53