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CogNet

MIT Press CogNet is the essential research tool for scholars in the brain and cognitive sciences. Visit the CogNet information page for more information.

Interdependence patterns of multi-frequency oscillations predict visuomotor behavior

Jyotika Bahuguna; Antoine Schwey; Demian Battaglia; Nicole Malfait

https://doi.org/10.1162/netn_a_00440

Validating MEG estimated resting state connectome with intracranial EEG

Jawata Afnan; Zhengchen Cai; Jean-Marc Lina; Chifaou Abdallah; Giovanni Pellegrino; Giorgio Arcara; Hassan Khajehpour; Birgit Frauscher; Jean Gotman; Christophe Grova

https://doi.org/10.1162/netn_a_00441

Modeling the Mutation and Competition of Certain Nutrient-Producing Protocells by Means of Specific Turing Machines

Richárd Kicsiny; Levente Hufnagel; Lajos Lóczi; László Székely; Zoltán Varga

https://doi.org/10.1162/artl_a_00463

Gaps That Do Not Sprout

Wesley Orth; Masaya Yoshida

https://doi.org/10.1162/ling_a_00551

Multimodal MRI accurately identifies amyloid status in unbalanced cohorts in Alzheimer’s disease continuum

Giorgio Dolci; Charles A. Ellis; Federica Cruciani; Lorenza Brusini; Anees Abrol; Ilaria Boscolo Galazzo; Gloria Menegaz; Vince D. Calhoun; for the Alzheimer’s Disease Neuroimaging Initiative

https://doi.org/10.1162/netn_a_00423

Functional connectotomy of a whole-brain model reveals tumor-induced alterations to neuronal dynamics in glioma patients

Christoffer G. Alexandersen; Linda Douw; Mona L. M. Zimmermann; Christian Bick; Alain Goriely

https://doi.org/10.1162/netn_a_00426

Localization of the epileptogenic network from scalp EEG using a patient-specific whole-brain model

Mihai Dragos Maliia; Elif Köksal-Ersöz; Adrien Benard; Tristan Calas; Anca Nica; Yves Denoyer; Maxime Yochum; Fabrice Wendling; Pascal Benquet

https://doi.org/10.1162/netn_a_00418

Thalamocortical interactions reflecting the intensity of flicker light–induced visual hallucinatory phenomena

Ioanna A. Amaya; Till Nierhaus; Timo T. Schmidt

https://doi.org/10.1162/netn_a_00417

Modelling low-dimensional interacting brain networks reveals organising principle in human cognition

Yonatan Sanz Perl; Sebastian Geli; Eider Pérez-Ordoyo; Lou Zonca; Sebastian Idesis; Jakub Vohryzek; Viktor K. Jirsa; Morten L. Kringelbach; Enzo Tagliazucchi; Gustavo Deco

https://doi.org/10.1162/netn_a_00434

Translational Network Neuroscience: 9 Roadblocks and possible solutions

Lucius S. Fekonja; Stephanie J. Forkel; Dogu Baran Aydogan; Pantelis Lioumis; Alberto Cacciola; Carolin Weiß Lucas; Jacques-Donald Tournier; Francesco Vergani; Petra Ritter; Robert Schenk; Boshra Shams; Melina Julia Engelhardt; Thomas Picht

https://doi.org/10.1162/netn_a_00435

Multilayer Network Analysis across Cortical Depths in Resting-State 7T fMRI

Parker Kotlarz; Kaisu Lankinen; Maria Hakonen; Tori Turpin; Jonathan R. Polimeni; Jyrki Ahveninen

https://doi.org/10.1162/netn_a_00436

Test-retest reliability of dynamic functional connectivity parameters for a two-state model

Xiaojing Fang; Michael Marxen

https://doi.org/10.1162/netn_a_00437

Whole-Brain Causal Discovery Using fMRI

Fahimeh Arab; AmirEmad Ghassami; Hamidreza Jamalabadi; Megan A. K. Peters; Erfan Nozari

https://doi.org/10.1162/netn_a_00438

A telescopic independent component analysis on functional magnetic resonance imaging dataset

Shiva Mirzaeian; Ashkan Faghiri; Vince D. Calhoun; Armin Iraji