fMRIPrep: a robust preprocessing pipeline for functional MRI

O Esteban, CJ Markiewicz, RW Blair, CA Moodie… - Nature …, 2019 - nature.com
Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to
clean and standardize the data before statistical analysis. Generally, researchers create ad …

Multiple functions of the angular gyrus at high temporal resolution

ML Seghier - Brain Structure and Function, 2023 - Springer
Here, the functions of the angular gyrus (AG) are evaluated in the light of current evidence
from transcranial magnetic/electric stimulation (TMS/TES) and EEG/MEG studies. 65 …

[BOOK][B] Time-space, spiking neural networks and brain-inspired artificial intelligence

NK Kasabov - 2019 - Springer
Everything exists and evolves within time–space and time–space is within everything, from a
molecule to the universe. Understanding the complex relationship between time and space …

Multivariate machine learning methods for fusing multimodal functional neuroimaging data

S Dähne, F Biessmann, W Samek… - Proceedings of the …, 2015 - ieeexplore.ieee.org
Multimodal data are ubiquitous in engineering, communications, robotics, computer vision,
or more generally speaking in industry and the sciences. All disciplines have developed …

Simultaneous EEG-fMRI reveals temporal evolution of coupling between supramodal cortical attention networks and the brainstem

JM Walz, RI Goldman, M Carapezza… - Journal of …, 2013 - Soc Neuroscience
Cortical and subcortical networks have been identified that are commonly associated with
attention and task engagement, along with theories regarding their functional interaction …

Inferring macroscale brain dynamics via fusion of simultaneous EEG-fMRI

MG Philiastides, T Tu, P Sajda - Annual Review of Neuroscience, 2021 - annualreviews.org
Advances in the instrumentation and signal processing for simultaneously acquired
electroencephalography and functional magnetic resonance imaging (EEG-fMRI) have …

Ballistocardiogram artifact reduction in simultaneous EEG-fMRI using deep learning

JR McIntosh, J Yao, L Hong, J Faller… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Objective: The concurrent recording of electroencephalography (EEG) and functional
magnetic resonance imaging (fMRI) is a technique that has received much attention due to …

Spatio–temporal patterns of cognitive control revealed with simultaneous electroencephalography and functional magnetic resonance imaging

T Hinault, K Larcher, N Zazubovits… - Human Brain …, 2019 - Wiley Online Library
Optimal performance depends in part on the ability to inhibit the automatic processing of
irrelevant information and also on the adjusting the level of control from one trial to the next …

Knowing when not to swing: EEG evidence that enhanced perception–action coupling underlies baseball batter expertise

J Muraskin, J Sherwin, P Sajda - NeuroImage, 2015 - Elsevier
Given a decision that requires less than half a second for evaluating the characteristics of
the incoming pitch and generating a motor response, hitting a baseball potentially requires …

Spatiotemporal dynamics of attention networks revealed by representational similarity analysis of EEG and fMRI

V Salmela, E Salo, J Salmi, K Alho - Cerebral Cortex, 2018 - academic.oup.com
The fronto-parietal attention networks have been extensively studied with functional
magnetic resonance imaging (fMRI), but spatiotemporal dynamics of these networks are not …