Zobrazeno 1 - 10
of 32
pro vyhledávání: '"A. Randal McIntosh"'
Autor:
Lucina Q. Uddin, Richard F. Betzel, Jessica R. Cohen, Jessica S. Damoiseaux, Felipe De Brigard, Simon B. Eickhoff, Alex Fornito, Caterina Gratton, Evan M. Gordon, Angela R. Laird, Linda Larson-Prior, A. Randal McIntosh, Lisa D. Nickerson, Luiz Pessoa, Ana Luísa Pinho, Russell A. Poldrack, Adeel Razi, Sepideh Sadaghiani, James M. Shine, Anastasia Yendiki, B. T. Thomas Yeo, R. Nathan Spreng
Publikováno v:
Harvard Data Science Review, Vol 7, Iss 3 (2023)
Externí odkaz:
https://doaj.org/article/6c88c4bffd6546d3aee86d2e32537a17
Autor:
Viktor K Jirsa, Spase Petkoski, Huifang Wang, Marmaduke Woodman, Jan Fousek, Cornelia Betsch, Lisa Felgendreff, Robert Bohm, Lau Lilleholt, Ingo Zettler, Sarah Faber, Kelly Shen, Anthony Randal Mcintosh
Publikováno v:
PLOS Digital Health, Vol 1, Iss 8, p e0000098 (2022)
During the current COVID-19 pandemic, governments must make decisions based on a variety of information including estimations of infection spread, health care capacity, economic and psychosocial considerations. The disparate validity of current short
Externí odkaz:
https://doaj.org/article/398a7bdf5c704e0f88b2de49e89acdec
Autor:
Leon Stefanovski, Jil Mona Meier, Roopa Kalsank Pai, Paul Triebkorn, Tristram Lett, Leon Martin, Konstantin Bülau, Martin Hofmann-Apitius, Ana Solodkin, Anthony Randal McIntosh, Petra Ritter
Publikováno v:
Frontiers in Neuroinformatics, Vol 15 (2021)
Despite the acceleration of knowledge and data accumulation in neuroscience over the last years, the highly prevalent neurodegenerative disease of AD remains a growing problem. Alzheimer's Disease (AD) is the most common cause of dementia and represe
Externí odkaz:
https://doaj.org/article/91d465ae934b4aef9c34f85b6e878928
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
Rhythmic activity in the brain fluctuates with behaviour and cognitive state, through a combination of coexisting and interacting frequencies. At large spatial scales such as those studied in human M/EEG, measured oscillatory dynamics are believed to
Externí odkaz:
https://doaj.org/article/d0b4656ce0074dde89b4c9f59296d15f
Autor:
Leon Stefanovski, Paul Triebkorn, Andreas Spiegler, Margarita-Arimatea Diaz-Cortes, Ana Solodkin, Viktor Jirsa, Anthony Randal McIntosh, Petra Ritter, for the Alzheimer's Disease Neuroimaging Initiative
Publikováno v:
Frontiers in Computational Neuroscience, Vol 13 (2019)
Introduction: While the prevalence of neurodegenerative diseases associated with dementia such as Alzheimer's disease (AD) increases, our knowledge on the underlying mechanisms, outcome predictors, or therapeutic targets is limited. In this work, we
Externí odkaz:
https://doaj.org/article/29d58ac5d79a49a7b76a6011d3412b67
Publikováno v:
NeuroImage: Clinical, Vol 10, Iss C, Pp 159-171 (2016)
Learning impairment is a core deficit in schizophrenia that impacts on real-world functioning and yet, elucidating its underlying neural basis remains a challenge. A key issue when interpreting learning-task experiments is that task-independent chang
Externí odkaz:
https://doaj.org/article/a5cd02b4cd8340be8557d73f1ad3bf7e
Publikováno v:
eLife, Vol 7 (2018)
The neurophysiological processes underlying non-invasive brain activity measurements are incompletely understood. Here, we developed a connectome-based brain network model that integrates individual structural and functional data with neural populati
Externí odkaz:
https://doaj.org/article/0610bfcc71f44b909fc353c344e8a83c
Autor:
John David Griffiths, Zheng Wang, Syed Hussain Ather, Davide Momi, Scott Rich, Andreea Diaconescu, Anthony Randal McIntosh, Kelly Shen
Connectome-based neural mass modelling is the emerging computational neuroscience paradigm for simulating large-scale network dynamics observed in whole-brain activity measurements such as fMRI, M/EEG, and related techniques. Estimating physiological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d03560c0dac91c6dfbdf4610b962206a
https://doi.org/10.1101/2022.05.19.492664
https://doi.org/10.1101/2022.05.19.492664
Autor:
Paul, Triebkorn, Leon, Stefanovski, Kiret, Dhindsa, Margarita-Arimatea, Diaz-Cortes, Patrik, Bey, Konstantin, Bülau, Roopa, Pai, Andreas, Spiegler, Ana, Solodkin, Viktor, Jirsa, Anthony Randal, McIntosh, Petra, Ritter
Publikováno v:
Alzheimer's & Dementia: Translational Research & Clinical Interventions
Alzheimer's & Dementia: Translational Research & Clinical Interventions, 2022, 8 (1), ⟨10.1002/trc2.12303⟩
Alzheimer's & Dementia: Translational Research & Clinical Interventions, 2022, 8 (1), ⟨10.1002/trc2.12303⟩
Computational brain network modeling using The Virtual Brain (TVB) simulation platform acts synergistically with machine learning (ML) and multi-modal neuroimaging to reveal mechanisms and improve diagnostics in Alzheimer's disease (AD).We enhance la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cb2dd4b9ce499ba24a4435c19bbf78c
https://pubmed.ncbi.nlm.nih.gov/35601598
https://pubmed.ncbi.nlm.nih.gov/35601598
Publikováno v:
PLoS ONE, Vol 10, Iss 7, p e0130129 (2015)
While human brains are specialized for complex and variable real world tasks, most neuroscience studies reduce environmental complexity, which limits the range of behaviours that can be explored. Motivated to overcome this limitation, we conducted a
Externí odkaz:
https://doaj.org/article/8c0774d786d7497c85c6a254c78cc043