MEG current source reconstruction using a meta-analysis fMRI prior

Suzuki, Koshi; Yamashita, Okito

doi:10.1016/j.neuroimage.2021.118034

Cited by 6 publications

(2 citation statements)

References 58 publications

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“…Previous work examining the impact of fMRI priors on reconstructed MEG source activity has yielded mixed findings, with the MSP framework demonstrating greater model evidence compared to other techniques (Friston et al 2008b; López et al 2014; R.N. Henson et al 2009), with the use of both consistent and inconsistent fMRI priors still increasing the accuracy of MEG source reconstruction (Henson et al 2011; Wang and eHolland 2021), and priors derived from a meta-analysis also improving MEG source reconstruction (Suzuki and Yamashita 2021).…”

Section: Discussionmentioning

confidence: 99%

Dynamic brain activity during associative learning examined with MEG/fMRI co-processing

Nair

Allendorfer

Wang

et al. 2021

Preprint

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Background: Due to limitations of individual neuroimaging methods we examine spatial and temporal contributions to self-generation using multimodality imaging with functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) within the Bayesian framework Multiple Sparse Priors (MSP). New Method: 24 healthy participants performed an fMRI and MEG paired-associate learning task. FMRI data were processed within Group ICA fMRI Toolbox. Independent components (ICs) were temporally sorted by task time series (|r|>0.30 threshold identified task-related ICs). Task-positive (generate) ICs were retained as spatial priors for MEG analyses. MEG data were processed by averaging trials to increase the signal-to-noise ratio within subjects and with an event-related theta power approach. MEG source reconstructions were constrained within the task-positive ICs for both analytical approaches. Results: For fMRI, five networks were identified as task-related. Four ICs underlying active generation spanned bilateral parietal, orbitofrontal, medial frontal and superior temporal regions, and occipital lobe. FMRI-constrained MEG source reconstructions yielded early visual cortex activity followed by left inferior frontal gyrus (IFG) and orbito-frontal cortex (OFC) recruitment to coalesce in the left inferior temporal lobe. For the event-related theta approach, reconstructions showed a progression of activity from bilateral temporal areas to left OFC and middle temporal gyrus, followed by right IFG. Comparison with Existing Methods: MSP analyses informed by fMRI produced more focused regional activity than reconstructions without priors suggesting increased attention and maintenance when selecting relevant semantic information during active generation. Conclusions: Constraining MEG source reconstruction to fMRI priors during active generation implicates interconnected fronto-temporal and fronto-parietal networks across time.

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Section: Discussionmentioning

confidence: 99%

Dynamic brain activity during associative learning examined with MEG/fMRI co-processing

Nair

Allendorfer

Wang

et al. 2021

Preprint

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“…As the synthesized meta-analysis maps were defined on voxels, they were transformed into cortical surfaces using an inverse-distance weighted interpolation method. An imported map was used to calculate the parameters in the probability distribution of the prior current variances for hierarchical Bayesian estimation according to a previously established method ( Suzuki and Yamashita, 2021 ).…”

Section: Methodsmentioning

confidence: 99%

Group analysis and classification of working memory task conditions using electroencephalogram cortical currents during an n-back task

Yoshiiwa,

Takano,

Ido

et al. 2023

Front. Neurosci.

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Electroencephalographic studies of working memory have demonstrated cortical activity and oscillatory representations without clarifying how the stored information is retained in the brain. To address this gap, we measured scalp electroencephalography data, while participants performed a modified n-back working memory task. We calculated the current intensities from the estimated cortical currents by introducing a statistical map generated using Neurosynth as prior information. Group analysis of the cortical current level revealed that the current amplitudes and power spectra were significantly different between the modified n-back and delayed match-to-sample conditions. Additionally, we classified information on the working memory task conditions using the amplitudes and power spectra of the currents during the encoding and retention periods. Our results indicate that the representation of executive control over memory retention may be mediated through both persistent neural activity and oscillatory representations in the beta and gamma bands over multiple cortical regions that contribute to visual working memory functions.

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Limiting parameter range for cortical-spherical mapping improves activated domain estimation for attention modulated auditory response

Mori,

Sugino,

Kabashima

et al. 2024

Journal of Neuroscience Methods

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MEG current source reconstruction using a meta-analysis fMRI prior

Cited by 6 publications

References 58 publications

Dynamic brain activity during associative learning examined with MEG/fMRI co-processing

Dynamic brain activity during associative learning examined with MEG/fMRI co-processing

Group analysis and classification of working memory task conditions using electroencephalogram cortical currents during an n-back task

Limiting parameter range for cortical-spherical mapping improves activated domain estimation for attention modulated auditory response

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