Validating MEG estimated resting-state connectome with intracranial EEG

被引：1

作者：

Afnan, Jawata ^{[1
,2
,3
]}

Cai, Zhengchen ^{[3
]}

Lina, Jean-Marc ^{[4
,5
,6
]}

Abdallah, Chifaou ^{[1
,2
,3
,7
]}

Pellegrino, Giovanni ^{[8
]}

Arcara, Giorgio ^{[9
]}

Khajehpour, Hassan ^{[7
]}

Frauscher, Birgit ^{[7
]}

Gotman, Jean ^{[3
]}

Grova, Christophe ^{[1
,3
,4
,10
,11
]}

机构：

[1] McGill Univ, Biomed Engn Dept, Multimodal Funct Imaging Lab, Montreal, PQ H3A 2B4, Canada

[2] McGill Univ, Integrated Program Neurosci, Montreal, PQ H3A 1A1, Canada

[3] McGill Univ, Montreal Neurol Inst, Dept Neurol & Neurosurg, Montreal, PQ H3A 2B4, Canada

[4] Ctr Rech Math, Physnum Team, Montreal, PQ, Canada

[5] Ecole Technol Super, Elect Engn Dept, Montreal, PQ H3C 1K3, Canada

[6] Sacre Coeur Hosp, Ctr Adv Res Sleep Med, Montreal, PQ, Canada

[7] Duke Univ, Sch Med, Dept Neurol, Analyt Neurophysiol Lab, Durham, NC USA

[8] Western Univ, Schulich Sch Med & Dent, Epilepsy Program, London, ON N6A 5C1, Canada

[9] IRCCS San Camillo Hosp, Brain Imaging & Neural Dynam Res Grp, Venice, Italy

[10] Concordia Univ, Dept Phys, Multimodal Funct Imaging Lab, Montreal, PQ, Canada

[11] Concordia Univ, Concordia Sch Hlth, Montreal, PQ, Canada

来源：

NETWORK NEUROSCIENCE | 2025年 / 9卷 / 01期

关键词：

MEG source imaging; Intracranial EEG; Connectivity; Source leakage; Resting state connectome; SOURCE LOCALIZATION; PHASE-SYNCHRONIZATION; BRAIN; CONNECTIVITY; MAGNETOENCEPHALOGRAPHY; NETWORKS; EPILEPSY; FLUCTUATIONS; OSCILLATIONS; RESOLUTION;

D O I：

10.1162/netn_a_00441

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

The ill-posed nature and low spatial resolution of EEG/magnetoencephalography (MEG) source imaging affects functional connectivity estimates, which become more complicated in the resting state due to the low signal-to-noise ratio. Several connectivity metrics have been proposed to address source leakage by removing zero-lag connectivity, although this can eliminate true neuronal zero-lag connections. Intracranial EEG (iEEG) is the gold standard for validating noninvasive measurements. In this study, we validated MEG-estimated connectivity for healthy subjects using the iEEG atlas of normal brain activity (Frauscher et al., 2018) as ground truth at a group level. We employed two amplitude-based metrics and two phase-based metrics. Our findings highlight how MEG connectivity compares with the iEEG atlas and provide valuable insights for resting-state EEG/MEG connectomic studies, particularly in the choice of connectivity metrics.

引用

页码：421 / 446

页数：26

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