The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension

SA Nastase, YF Liu, H Hillman, A Zadbood… - Scientific data, 2021 - nature.com
The “Narratives” collection aggregates a variety of functional MRI datasets collected while
human subjects listened to naturalistic spoken stories. The current release includes 345 …

Methods for decoding cortical gradients of functional connectivity

JA Peraza, T Salo, MC Riedel, KL Bottenhorn… - Imaging …, 2024 - direct.mit.edu
Macroscale gradients have emerged as a central principle for understanding functional
brain organization. Previous studies have demonstrated that a principal gradient of …

Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces

MS Bom, AMA Brak, M Raemaekers, NF Ramsey… - medRxiv, 2024 - medrxiv.org
Functional Magnetic Resonance Imaging (fMRI) data is commonly used to localise
implantation sites for intracranial-based Brain-Computer Interfaces (BCIs). Functional data …

Default Mode Network spatial configuration varies across task domains

L Mancuso, S Cavuoti-Cabanillas, D Liloia, J Manuello… - bioRxiv, 2021 - biorxiv.org
Recent developments in network neuroscience suggest reconsidering what we thought we
knew about the Default Mode Network (DMN). Although this network has always been seen …

Rapid parameter estimation for selective inversion recovery myelin imaging using an open-source Julia toolkit

NJ Sisco, P Wang, AM Stokes, RD Dortch - PeerJ, 2022 - peerj.com
Background Magnetic resonance imaging (MRI) is used extensively to quantify myelin
content, however computational bottlenecks remain challenging for advanced imaging …