A Comparison of Inverse Problem Methods for Source Localization of Epileptic Meg Spikes

Jmail, Nawel; Hadriche, Abir; Ichrak, Behi; Amal, Necibi; Chokri, Ben Amar

doi:10.1109/bibe.2019.00161

Cited by 7 publications

(7 citation statements)

References 8 publications

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“…Regarding the choice of an inverse solution itself, different algorithms are based on different prior assumptions (Grech et al, 2008). We here restricted our study to two widely used methods falling under the same algorithmic category (minimum-norm solutions); an informative and oftentimes suggested way is to compare different algorithms before drawing conclusions on the plausibility of the results (Nawel et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…With dSPM and sLORETA we selected two distributed source solutions widely used and implemented in Brainstorm. Both aim for a minimum norm estimate with implicit depth weighting to improve localization accuracy of deep sources (Lin et al, 2006), but differ in the normalization approach (Nawel et al, 2019; Hauk et al, 2011). In dSPM (Dale et al, 2000), the current density normalization is done based on the noise covariance information.…”

Section: Methodsmentioning

confidence: 99%

“…Generally, the choice of the inverse method relies on parameters such as the sensory modality or experimental paradigm; there are, though, no precise guidelines on selecting a method, rendering the option to frequently depend on common practise and preference. Meanwhile, toolboxes offer direct implementations of multiple inverse solutions, thereby facilitating comparative studies on the same dataset, an oftentimes suggested approach (Nawel et al, 2019). In auditory research, dSPM and sLORETA are frequently applied algorithms towards solving the inverse problem (eg.…”

Section: Introductionmentioning

confidence: 99%

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Benefits of individualized brain anatomies and EEG electrode positions for auditory cortex localization

Ignatiadis

Barumerli

Tóth

et al. 2022

Preprint

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Due to its high temporal resolution and non-invasive nature, electroencephalography (EEG) is considered a method of great value for the field of auditory cognitive neuroscience. In performing source space analyses, localization accuracy poses a bottleneck, which precise forward models based on individualized attributes such as subject anatomy or electrode locations aim to overcome. Yet acquiring anatomical images or localizing EEG electrodes requires significant additional funds and processing time, making it an oftentimes inaccessible asset. Neuroscientific software offers template solutions, on which analyses can be based. For localizing the source of auditory evoked responses, we here compared the results of employing such template anatomies and electrode positions versus the subject-specific ones, as well as combinations of the two. All considered cases represented approaches commonly used in electrophysiological studies. We considered differences between two commonly used inverse solutions (dSPM, sLORETA) and targeted the primary auditory cortex; a notoriously small cortical region that is located within the lateral sulcus, thus more prone to errors in localization. Through systematical comparison of the outcomes in terms of auditory activity attributes and leakage quantification, we assessed how the individualization steps impacted the analyses outcomes. Both electrode locations as well as subject anatomies were found to have an effect, which though varied based on the configuration considered. When comparing the inverse solutions, we moreover found that dSPM more consistently benefited from individualization of subject characteristics. Based on the scientific question considered, our results may be used to facilitate the planning of auditory neuroscientific experiments in terms of expected infrastructure, personnel and funds.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Benefits of individualized brain anatomies and EEG electrode positions for auditory cortex localization

Ignatiadis

Barumerli

Tóth

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…With dSPM and sLORETA we selected two distributed source solutions widely used and implemented in Brainstorm. Both aim for a minimum norm estimate with implicit depth weighting to improve localization accuracy of deep sources (Lin et al, 2006 ), but differ in the normalization approach (Hauk et al, 2011 ; Nawel et al, 2019 ). In dSPM (Dale et al, 2000 ), the current density normalization is done based on the noise covariance information.…”

Section: Methodsmentioning

confidence: 99%

“…Generally, the choice of the inverse method relies on parameters such as the sensory modality or experimental paradigm; there are, though, no precise guidelines on selecting a method, rendering the option to frequently depend on common practice and preference. Meanwhile, toolboxes offer direct implementations of multiple inverse solutions, thereby facilitating comparative studies on the same dataset, an oftentimes suggested approach (Nawel et al, 2019 ). In auditory research, dSPM and sLORETA are frequently applied algorithms toward solving the inverse problem (e.g., Jaworska et al, 2012 ; Raghavan et al, 2017 ; Justen and Herbert, 2018 ; Stropahl et al, 2018 ; Hsu et al, 2020 ; Mohan et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Effects of individualized brain anatomies and EEG electrode positions on inferred activity of the primary auditory cortex

Ignatiadis

Barumerli

Tóth

et al. 2022

Front. Neuroinform.

View full text Add to dashboard Cite

Due to its high temporal resolution and non-invasive nature, electroencephalography (EEG) is considered a method of great value for the field of auditory cognitive neuroscience. In performing source space analyses, localization accuracy poses a bottleneck, which precise forward models based on individualized attributes such as subject anatomy or electrode locations aim to overcome. Yet acquiring anatomical images or localizing EEG electrodes requires significant additional funds and processing time, making it an oftentimes inaccessible asset. Neuroscientific software offers template solutions, on which analyses can be based. For localizing the source of auditory evoked responses, we here compared the results of employing such template anatomies and electrode positions versus the subject-specific ones, as well as combinations of the two. All considered cases represented approaches commonly used in electrophysiological studies. We considered differences between two commonly used inverse solutions (dSPM, sLORETA) and targeted the primary auditory cortex; a notoriously small cortical region that is located within the lateral sulcus, thus particularly prone to errors in localization. Through systematical comparison of early evoked component metrics and spatial leakage, we assessed how the individualization steps impacted the analyses outcomes. Both electrode locations as well as subject anatomies were found to have an effect, which though varied based on the configuration considered. When comparing the inverse solutions, we moreover found that dSPM more consistently benefited from individualization of subject morphologies compared to sLORETA, suggesting it to be the better choice for auditory cortex localization.

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Epileptic MEG Networks Connectivity Obtained by MNE, sLORETA, cMEM and dsPM

ElBehy

Hadriche

Jarray

et al. 2023

Lecture Notes in Networks and Systems

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A Comparison of Inverse Problem Methods for Source Localization of Epileptic Meg Spikes

Cited by 7 publications

References 8 publications

Benefits of individualized brain anatomies and EEG electrode positions for auditory cortex localization

Benefits of individualized brain anatomies and EEG electrode positions for auditory cortex localization

Effects of individualized brain anatomies and EEG electrode positions on inferred activity of the primary auditory cortex

Epileptic MEG Networks Connectivity Obtained by MNE, sLORETA, cMEM and dsPM

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