Literature DB >> 23732883

EEG-fMRI integration for the study of human brain function.

João Jorge1, Wietske van der Zwaag2, Patrícia Figueiredo3.   

Abstract

Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have proved to be extremely valuable tools for the non-invasive study of human brain function. Moreover, due to a notable degree of complementarity between the two modalities, the combination of EEG and fMRI data has been actively sought in the last two decades. Although initially focused on epilepsy, EEG-fMRI applications were rapidly extended to the study of healthy brain function, yielding new insights into its underlying mechanisms and pathways. Nevertheless, EEG and fMRI have markedly different spatial and temporal resolutions, and probe neuronal activity through distinct biophysical processes, many aspects of which are still poorly understood. The remarkable conceptual and methodological challenges associated with EEG-fMRI integration have motivated the development of a wide range of analysis approaches over the years, each relying on more or less restrictive assumptions, and aiming to shed further light on the mechanisms of brain function along with those of the EEG-fMRI coupling itself. Here, we present a review of the most relevant EEG-fMRI integration approaches yet proposed for the study of brain function, supported by a general overview of our current understanding of the biophysical mechanisms coupling the signals obtained from the two modalities.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain function; EEG–fMRI; Multimodal fusion

Mesh:

Year:  2013        PMID: 23732883     DOI: 10.1016/j.neuroimage.2013.05.114

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  36 in total

1.  Fusing multiple neuroimaging modalities to assess group differences in perception-action coupling.

Authors:  Jordan Muraskin; Jason Sherwin; Gregory Lieberman; Javier O Garcia; Timothy Verstynen; Jean M Vettel; Paul Sajda
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2016-07-15       Impact factor: 10.961

Review 2.  [Simultaneous EEG-fMRI measurements: insights in applications and challenges].

Authors:  B Reese; U Habel; I Neuner
Journal:  Nervenarzt       Date:  2014-06       Impact factor: 1.214

3.  Mapping the spatiotemporal dynamics of processing task-relevant and task-irrelevant sound feature changes using concurrent EEG-fMRI.

Authors:  Sebastian Puschmann; René J Huster; Christiane M Thiel
Journal:  Hum Brain Mapp       Date:  2016-06-09       Impact factor: 5.038

4.  EEG Microstates Predict Concurrent fMRI Dynamic Functional Connectivity States.

Authors:  Rodolfo Abreu; João Jorge; Alberto Leal; Thomas Koenig; Patrícia Figueiredo
Journal:  Brain Topogr       Date:  2020-11-07       Impact factor: 3.020

5.  A Hierarchical Bayesian Model for the Identification of PET Markers Associated to the Prediction of Surgical Outcome after Anterior Temporal Lobe Resection.

Authors:  Sharon Chiang; Michele Guindani; Hsiang J Yeh; Sandra Dewar; Zulfi Haneef; John M Stern; Marina Vannucci
Journal:  Front Neurosci       Date:  2017-12-05       Impact factor: 4.677

Review 6.  Neuroimaging and neuromodulation approaches to study eating behavior and prevent and treat eating disorders and obesity.

Authors:  D Val-Laillet; E Aarts; B Weber; M Ferrari; V Quaresima; L E Stoeckel; M Alonso-Alonso; M Audette; C H Malbert; E Stice
Journal:  Neuroimage Clin       Date:  2015-03-24       Impact factor: 4.881

7.  Modeling the Hemodynamic Response Function Using EEG-fMRI Data During Eyes-Open Resting-State Conditions and Motor Task Execution.

Authors:  Prokopis C Prokopiou; Alba Xifra-Porxas; Michalis Kassinopoulos; Marie-Hélène Boudrias; Georgios D Mitsis
Journal:  Brain Topogr       Date:  2022-04-30       Impact factor: 3.020

8.  Fear Extinction Recall Modulates Human Frontomedial Theta and Amygdala Activity.

Authors:  Matthias F J Sperl; Christian Panitz; Isabelle M Rosso; Daniel G Dillon; Poornima Kumar; Andrea Hermann; Alexis E Whitton; Christiane Hermann; Diego A Pizzagalli; Erik M Mueller
Journal:  Cereb Cortex       Date:  2019-02-01       Impact factor: 5.357

9.  A multimodal encoding model applied to imaging decision-related neural cascades in the human brain.

Authors:  Jordan Muraskin; Truman R Brown; Jennifer M Walz; Tao Tu; Bryan Conroy; Robin I Goldman; Paul Sajda
Journal:  Neuroimage       Date:  2017-06-30       Impact factor: 6.556

10.  Data-driven beamforming technique to attenuate ballistocardiogram artefacts in electroencephalography-functional magnetic resonance imaging without detecting cardiac pulses in electrocardiography recordings.

Authors:  Makoto Uji; Nathan Cross; Florence B Pomares; Aurore A Perrault; Aude Jegou; Alex Nguyen; Umit Aydin; Jean-Marc Lina; Thien Thanh Dang-Vu; Christophe Grova
Journal:  Hum Brain Mapp       Date:  2021-06-08       Impact factor: 5.038

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