Brain Source Reconstruction Solution Quality Assessment with Spatial Graph Frequency Features

Meng Jiao, Feng Liu, Onur Asan, Roshanak Nilchiani, Xinglong Ju, Jing Xiang

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Different EEG/MEG source imaging (ESI) algorithms can render different reconstructions, so as to the same algorithm with different hyperparameters. Moreover, we found the locations of active sources also have an impact on the performance of ESI algorithms. For the real EEG/MEG source reconstruction, as the ground true activation is unknown, it is hard to validate which algorithm performs better. In this paper, we proposed to use statistical features from source space to predict whether the reconstruction is a satisfactory solution. The training data and testing data are from solutions from different algorithms based on synthetic EEG data where ground truth activations are available. The good and bad solutions are determined by Area Under Curve (AUC) and localization error (LE). We extract spatial and general statistical features from solutions, then we used machine learning models to classify good vs. bad solutions, and showed the feasibility of judging the quality of solution without knowing ground truth, which can serve as a feedback for further hyperparameter tuning.

    Original languageEnglish
    Title of host publicationBrain Informatics - 15th International Conference, BI 2022, Proceedings
    EditorsMufti Mahmud, Jing He, Stefano Vassanelli, André van Zundert, Ning Zhong
    Pages175-183
    Number of pages9
    DOIs
    StatePublished - 2022
    Event15th International Conference on Brain Informatics, BI 2022 - Virtual, Online
    Duration: 15 Jul 202217 Jul 2022

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume13406 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference15th International Conference on Brain Informatics, BI 2022
    CityVirtual, Online
    Period15/07/2217/07/22

    Keywords

    • Brain source imaging
    • EEG/MEG
    • Graph fourier transform
    • Solution quality

    Fingerprint

    Dive into the research topics of 'Brain Source Reconstruction Solution Quality Assessment with Spatial Graph Frequency Features'. Together they form a unique fingerprint.

    Cite this