NIRSTORM: a Brainstorm extension dedicated to functional Near Infrared Spectroscopy (fNIRS) data analysis, advanced 3D reconstructions, and optimal probe design
Authors:
- Édouard DelaireÉDÉdouard Delaire
- Thomas VincentTVThomas Vincent
- Zhengchen CaiZCZhengchen Cai
- Alexis MachadoAMAlexis Machado
- Laurent HuguevilleLHLaurent Hugueville
- Denis SchwartzDSDenis Schwartz
- Francois TadelFTFrancois Tadel
- Raymundo CassaniRCRaymundo Cassani
- Louis BhererLBLouis Bherer
- Jean-Marc LinaJLJean-Marc Lina
- Mélanie Pélégrini-IssacMPMélanie Pélégrini-Issac
- Christophe GrovaCGChristophe Grova
Preprint
Abstract
Significance: We propose NIRSTORM, a software package built within Brainstorm environment, enabling full data analysis of functional Near InfraRed Spectroscopy (fNIRS) data from experiment planning to 3D reconstruction of hemodynamic fluctuations on the cortical surface using optical tomographic approaches. NIRSTORM enables the integration of fNIRS analysis within a multimodal setup making it easy to study fNIRS in combination with other multimodal data such as electroencephalography (EEG) or magnetic resonance imaging (MRI). Aim: NIRSTORM aims to provide an easy-to-use and fully modular toolbox for fNIRS analysis from experimental planning to optical tomography 3D reconstruction extending Brainstorm capacity for multimodal analysis. Approach: NIRSTORM was developed in MATLAB® and integrated as a plugin of the software Brainstorm. Brainstorm is a GUI-oriented, widely used software originally dedicated to statistical analysis and source imaging of EEG and magnetoencephalography (MEG) data. Results: In addition to conventional fNIRS preprocessing steps, including standard channel space and statistical analyses, NIRSTORM provides advanced methods dedicated to optimal probe placement, allowing personalized fNIRS study designs and accurate near-infrared optical tomography within the Maximum Entropy on the Mean (MEM) framework. Conclusion: NIRSTORM is an open-access, user-friendly plugin extending the capacity of Brainstorm, for fNIRS analysis, therefore narrowing the gap between EEG/MEG and hemodynamics.Keywords
All Related Versions
- Published version: Neurophotonics, 12 (02), 025011.
This publication has 106 references indexed in Scilit:
- Consistency of electrical source imaging in presurgical evaluation of epilepsy across different vigilance statesAnnals of Clinical and Translational Neurology, 2024
- Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patientsHuman Brain Mapping, 2020
- Reproducibility ofEEG‐MEGfusion source analysis of interictal spikes: Relevance in presurgical evaluation of epilepsyHuman Brain Mapping, 2017
- Clinical yield of magnetoencephalography distributed source imaging in epilepsy: A comparison with equivalent current dipole methodHuman Brain Mapping, 2017
- Source localization of the seizure onset zone from ictal EEG/MEG dataHuman Brain Mapping, 2016
- Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsyHuman Brain Mapping, 2016
- Spatial correlation of hemodynamic changes related to interictal epileptic discharges with electric and magnetic source imagingHuman Brain Mapping, 2014
- Source connectivity analysis with MEG and EEGHuman Brain Mapping, 2009
- Near infrared optical tomography using NIRFAST: Algorithm for numerical model and image reconstructionCommunications in Numerical Methods in Engineering, 2008
- Estimating cerebral oxygen metabolism from fMRI with a dynamic multicompartment Windkessel modelHuman Brain Mapping, 2008