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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.

Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity

Ceren Tozlu; Sophie Card; Keith Jamison; Susan A. Gauthier; Amy Kuceyeski

Doi: 10.1162/netn_a_00292

Dynamic rewiring of electrophysiological brain networks during learning

Paolo Ruggeri; Jenifer Miehlbradt; Aya Kabbara; Mahmoud Hassan

Doi: 10.1162/netn_a_00289

From correlation to communication: Disentangling hidden factors from functional connectivity changes

Yuhua Yu; Caterina Gratton; Derek M. Smith

Doi: 10.1162/netn_a_00290

Trade-offs among cost, integration, and segregation in the human connectome

Junji Ma; Xitian Chen; Yue Gu; Liangfang Li; Cam-CAN; Ying Lin; Zhengjia Dai

Doi: 10.1162/netn_a_00291

Significant Subgraph Mining for Neural Network Inference with Multiple Comparisons Correction

Aaron J. Gutknecht; Michael Wibral

Doi: 10.1162/netn_a_00288

The topology, stability, and instability of learning-induced brain network repertoires in schizophrenia

Emmanuel D. Meram; Shahira Baajour; Asadur Chowdury; John Kopchick; Patricia Thomas; Usha Rajan; Dalal Khatib; Caroline Zajac-Benitez; Luay Haddad; Alireza Amirsadri; Jeffrey A. Stanley; Vaibhav A. Diwadkar

Doi: 10.1162/netn_a_00278

Increased structural connectivity in high schizotypy

Eirini Messaritaki; Sonya Foley; Kali Barawi; Ulrich Ettinger; Derek K. Jones

Doi: 10.1162/netn_a_00279

Exploring personalized structural connectomics for moderate to severe traumatic brain injury

Phoebe Imms; Adam Clemente; Evelyn Deutscher; Ahmed M. Radwan; Hamed Akhlaghi; Paul Beech; Peter H. Wilson; Andrei Irimia; Govinda Poudel; Juan F. Domínguez Duque; Karen Caeyenberghs

Doi: 10.1162/netn_a_00277

Bisected graph matching improves automated pairing of bilaterally homologous neurons from connectomes

Benjamin D. Pedigo; Michael Winding; Carey E. Priebe; Joshua T. Vogelstein

Doi: 10.1162/netn_a_00287

Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference

Raul Gonzalez-Gomez; Agustin Ibanez; Sebastian Moguilner; Frontotemporal Lobar Degeneration Neuroimaging Initiative

Doi: 10.1162/netn_a_00285

Circuit Analysis of the Drosophila Brain using Connectivity-based Neuronal Classification Reveals Organization of Key Communication Pathways

Ketan Mehta; Rebecca F. Goldin; Giorgio A. Ascoli

Doi: 10.1162/netn_a_00283

Multimodal multilayer network centrality relates to executive functioning

Lucas C. Breedt; Fernando A. N. Santos; Arjan Hillebrand; Liesbeth Reneman; Anne-Fleur van Rootselaar; Menno M. Schoonheim; Cornelis J. Stam; Anouk Ticheler; Betty M. Tijms; Dick J. Veltman; Chris Vriend; Margot J. Wagenmakers; Guido A. van Wingen; Jeroen J. G. Geurts; Anouk Schrantee; Linda Douw

Doi: 10.1162/netn_a_00284

Sex differences in multilayer functional network topology over the course of aging in 37543 UK Biobank participants

Mite Mijalkov; Dániel Veréb; Oveis Jamialahmadi; Anna Canal-Garcia; Emiliano Gómez-Ruiz; Didac Vidal-Piñeiro; Stefano Romeo; Giovanni Volpe; Joana B. Pereira

Doi: 10.1162/netn_a_00286

Non-optimal component placement of the human connectome supports variable brain dynamics

Christopher James Hayward; Siyu Huo; Xue Chen; Marcus Kaiser

Doi: 10.1162/netn_a_00282

It’s about time: Linking dynamical systems with human neuroimaging to understand the brain

Yohan J. John; Kayle S. Sawyer; Karthik Srinivasan; Eli J. Müller; Brandon R. Munn; James M. Shine

Doi: 10.1162/netn_a_00230

Editorial: Focus feature on consciousness and cognition

Randy McIntosh; Sean Hill; Olaf Sporns

Doi: 10.1162/netn_e_00273

Computational approaches to treatment response prediction in major depression using brain activity and behavioral data: A systematic review

Povilas Karvelis; Colleen E. Charlton; Shona G. Allohverdi; Peter Bedford; Daniel J. Hauke; Andreea O. Diaconescu