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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.

Neural correlates of motor learning: Network communication versus local oscillations

Anaïs Mottaz; Branislav Savic; Leslie Allaman; Adrian G. Guggisberg

https://doi.org/10.1162/netn_a_00374

Brain sodium MRI-derived priors support the estimation of epileptogenic zones using personalized model-based methods in epilepsy

Mikhael Azilinon; Huifang E. Wang; Julia Makhalova; Wafaa Zaaraoui; Jean-Philippe Ranjeva; Fabrice Bartolomei; Maxime Guye; Viktor Jirsa

https://doi.org/10.1162/netn_a_00371

Retinal waves in adaptive rewiring networks orchestrate convergence and divergence in the visual system

Raúl Luna; Jia Li; Roman Bauer; Cees van Leeuwen

https://doi.org/10.1162/netn_a_00370

Modeling the impact of MRI acquisition bias on structural connectomes: Harmonizing structural connectomes

Jagruti Patel; Mikkel Schöttner; Anjali Tarun; Sebastien Tourbier; Yasser Alemán-Gómez; Patric Hagmann; Thomas A. W. Bolton

https://doi.org/10.1162/netn_a_00368

A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence

Aiying Zhang; Gemeng Zhang; Biao Cai; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang

https://doi.org/10.1162/netn_a_00384

Individual variability in neural representations of mind-wandering

Aaron Kucyi; Nathan Anderson; Tiara Bounyarith; David Braun; Lotus Shareef-Trudeau; Isaac Treves; Rodrigo M. Braga; Po-Jang Hsieh; Shao-Min Hung

https://doi.org/10.1162/netn_a_00387

Network-level enrichment provides a framework for biological interpretation of machine learning results

Jiaqi Li; Ari Segel; Xinyang Feng; Jiaxin Cindy Tu; Andy Eck; Kelsey T. King; Babatunde Adeyemo; Nicole R. Karcher; Likai Chen; Adam T. Eggebrecht; Muriah D. Wheelock

https://doi.org/10.1162/netn_a_00383

Frequency modulation increases the specificity of time-resolved connectivity: A resting-state fMRI study

Ashkan Faghiri; Kun Yang; Andreia Faria; Koko Ishizuka; Akira Sawa; Tülay Adali; Vince Calhoun

https://doi.org/10.1162/netn_a_00372

Linking the neural signature of response time variability to Alzheimer’s disease pathology and cognitive functioning

James Teng; Michael R. McKenna; Oyetunde Gbadeyan; Ruchika S. Prakash; for the Alzheimer’s Disease Neuroimaging Initiative

https://doi.org/10.1162/netn_a_00373

Segregation-to-Integration Transformation Model of Memory Evolution

Luz Bavassi; Lluís Fuentimilla

https://doi.org/10.1162/netn_a_00415

The “limbic network,” comprising orbitofrontal and anterior temporal cortex, is part of an extended default network: Evidence from multi-echo fMRI

Manesh Girn; Roni Setton; Gary R. Turner; R. Nathan Spreng