Zobrazeno 1 - 10
of 304
pro vyhledávání: '"E. Linden"'
Autor:
S. I. Dimitriadis, G. Perry, S. F. Foley, K. E. Tansey, D. K. Jones, P. Holmans, S. Zammit, J. Hall, M. C. O’Donovan, M. J. Owen, K. D. Singh, D. E. Linden
Publikováno v:
Translational Psychiatry, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Gamma oscillations (30–90 Hz) have been proposed as a signature of cortical visual information processing, particularly the balance between excitation and inhibition, and as a biomarker of neuropsychiatric diseases. Magnetoencephalography
Externí odkaz:
https://doaj.org/article/04d7fcdfd1884d62becdc5bcbe76590d
Autor:
Andrea B Schote, Katharina Dietrich, Adrian E Linden, Inga Dzionsko, Laura De Los Angeles Molano Moreno, Ulrike Winnikes, Patrick Zimmer, Gregor Domes, Jobst Meyer
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0272247 (2022)
BackgroundHyperhidrosis (excessive sweating, OMIM %114110) is a complex disorder with multifactorial causes. Emotional strains and social stress increase symptoms and lead to a vicious circle. Previously, we showed significantly higher depression sco
Externí odkaz:
https://doaj.org/article/5c64d01345d44b129f967e8b4d90d1b5
Autor:
Jessica H. Hayward, Olivia E. Linden, Alana A. Lewin, Susan P. Weinstein, Alexandra E. Bachorik, Tara M. Balija, Cherie M. Kuzmiak, Lisa V. Paulis, Lonie R. Salkowski, Matthew F. Sanford, John R. Scheel, Richard E. Sharpe, William Small, Gary A. Ulaner, Priscilla J. Slanetz
Publikováno v:
Journal of the American College of Radiology. 20:S125-S145
Publikováno v:
Journal of Chemical Education. 100:1023-1026
Autor:
MAURICE E. LINDEN
Publikováno v:
Psychiatry in Medicine ISBN: 9780520331068
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75afd59eb26a44afcbaf0a6336f84efb
https://doi.org/10.2307/jj.2430607.10
https://doi.org/10.2307/jj.2430607.10
Akademický článek
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Publikováno v:
Frontiers in Neuroinformatics, Vol 12 (2018)
Both amplitude and latency of single-trial EEG/MEG recordings provide valuable information regarding functionality of the human brain. In this article, we provided a data-driven graph and network-based framework for mining information from multi-tria
Externí odkaz:
https://doaj.org/article/ffeddb529e674410a4869bd70aadacf6
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
The resting activity of the brain can be described by so-called intrinsic connectivity networks (ICNs), which consist of spatially and temporally distributed, but functionally connected, nodes. The coordinated activity of the resting state can be exp
Externí odkaz:
https://doaj.org/article/4b22fe291a1d41b3b69e7db8091295c5
Autor:
Stavros I. Dimitriadis, Mark Drakesmith, Sonya Bells, Greg D. Parker, David E. Linden, Derek K. Jones
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
Structural brain networks estimated from diffusion MRI (dMRI) via tractography have been widely studied in healthy controls and patients with neurological and psychiatric diseases. However, few studies have addressed the reliability of derived networ
Externí odkaz:
https://doaj.org/article/4730062fd04e4e4bab992a71babbad28
Publikováno v:
Frontiers in Neuroinformatics, Vol 11 (2017)
The human brain is a large-scale system of functionally connected brain regions. This system can be modeled as a network, or graph, by dividing the brain into a set of regions, or “nodes,” and quantifying the strength of the connections between n
Externí odkaz:
https://doaj.org/article/f84fecf4ae8a42b695e8111e49e4a1e2