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2025

SNAKE: A modular realistic fMRI data simulator from the space-time domain to k-space and back

Imaging Neuroscience

Pierre-Antoine Comby, Alexandre Vignaud, Philippe Ciuciu

2025

Multi‐Metric Approach for the Comparison of Denoising Techniques for Resting‐State fMRI

Human Brain Mapping

Federica Goffi, Anna Maria Bianchi, Giandomenico Schiena, Paolo Brambilla, Eleonora Maggioni

2025

Motion impact score for detecting spurious brain-behavior associations

Nature Communications

Benjamin P. Kay, David F. Montez, Scott Marek, Brenden Tervo-Clemmens, Joshua S. Siegel, Babatunde Adeyemo, Timothy O. Laumann, Athanasia Metoki, Roselyne J. Chauvin, Andrew N. Van, Vahdeta Suljic, Samuel R. Krimmel, Ryland L. Miller, Dillan J. Newbold, Annie Zheng, Nicole A. Seider, Kristen M. Scheidter, Julia S. Monk, Eric Feczko, Anita Randolph, Óscar Miranda-Domínguez, Lucille A. Moore, Anders J. Perrone, Gregory M. Conan, Eric A. Earl, Stephen M. Malone, Michaela Cordova, Olivia Doyle, Benjamin J. Lynch, James C. Wilgenbusch, Thomas Pengo, Alice M. Graham, Jarod L. Roland, Evan M. Gordon, Abraham Z. Snyder, Deanna M. Barch, Damien A. Fair, Nico U. F. Dosenbach

2024

Deconstructing the Mapper algorithm to extract richer topological and temporal features from functional neuroimaging data

Network Neuroscience

Daniel Haşegan, Caleb Geniesse, Samir Chowdhury, Manish Saggar

2024

Computational Language Modeling and the Promise of In Silico Experimentation

Neurobiology of Language

Shailee Jain, Vy A. Vo, Leila Wehbe, Alexander G. Huth

2023

Optimizing cognitive neuroscience experiments for separating event- related fMRI BOLD responses in non-randomized alternating designs

Frontiers in Neuroimaging

Soukhin Das, Weigang Yi, Mingzhou Ding, George R. Mangun

2023

Static and dynamic fMRI-derived functional connectomes represent largely similar information

Network Neuroscience

Andraž Matkovič, Alan Anticevic, John D. Murray, Grega Repovš

2022

How do scholars and non-scholars participate in dataset dissemination on Twitter

Journal of Informetrics

Jianhua Hou, Yuanyuan Wang, Yang Zhang, Dongyi Wang

2022

A Computational Neural Model for Mapping Degenerate Neural Architectures

Neuroinformatics

Zulqarnain Khan, Yiyu Wang, Eli Sennesh, Jennifer Dy, Sarah Ostadabbas, Jan-Willem van de Meent, J. Benjamin Hutchinson, Ajay B. Satpute

2022

BrainIAK: The Brain Imaging Analysis Kit

Aperture Neuro

Manoj Kumar, Michael J. Anderson, James W. Antony, Christopher Baldassano, Paula P. Brooks, Ming Bo Cai, Po-Hsuan Cameron Chen, Cameron T. Ellis, Gregory Henselman-Petrusek, David Huberdeau, J. Benjamin Hutchinson, Y. Peeta Li, Qihong Lu, Jeremy R. Manning, Anne C. Mennen, Samuel A. Nastase, Hugo Richard, Anna C. Schapiro, Nicolas W. Schuck, Michael Shvartsman, Narayanan Sundaram, Daniel Suo, Javier S. Turek, David Turner, Vy A. Vo, Grant Wallace, Yida Wang, Jamal A. Williams, Hejia Zhang, Xia Zhu, Mihai Capota˘, Jonathan D. Cohen, Uri Hasson, Kai Li, Peter J. Ramadge, Nicholas B. Turk-Browne, Theodore L. Willke, Kenneth A. Norman

2021

Advances in the field of intranasal oxytocin research: lessons learned and future directions for clinical research

Molecular Psychiatry

Daniel S. Quintana, Alexander Lischke, Sally Grace, Dirk Scheele, Yina Ma, Benjamin Becker

2021

Interpreting null models of resting-state functional MRI dynamics: not throwing the model out with the hypothesis

NeuroImage

Raphaël Liégeois, B.T. Thomas Yeo, Dimitri Van De Ville

2020

Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain

PLOS Computational Biology

Sreejan Kumar, Cameron T. Ellis, Thomas P. O’Connell, Marvin M. Chun, Nicholas B. Turk-Browne