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Validating MEG estimated resting-state connectome with intracranial EEG

Author(s): Afnan J; Cai Z; Lina JM; Abdallah C; Pellegrino G; Arcara G; Khajehpour H; Frauscher B; Gotman J; Grova C;...

Magnetoencephalography (MEG) is widely used for studying resting-state brain connectivity. However, MEG source imaging is ill posed and has limited spatial resolution. This introduces source-leakag...

Article GUID: 40161991
Overweight and obesity in early childhood and obesity at 10 years of age: a comparison of World Health Organization definitions

Author(s): Van Hulst A; Zheng S; Argiropoulos N; Ybarra M; Ball GDC; Kakinami L;

The World Health Organization recommends using + 2 SD of body mass index z-score (zBMI) to define overweight/obesity (OWO) in children ages 2 to 5 years whereas + 1 SD is used as cut-point from 5 years onwards. Empirical evidence for using different cut-poi...

Article GUID: 40140102
The Awakening Brain is Characterized by a Widespread and Spatiotemporally Heterogeneous Increase in High Frequencies

Author(s): Avigdor T; Ren G; Abdallah C; Dubeau F; Grova C; Frauscher B;

Morning awakening is part of everyday life. Surprisingly, information remains scarce on its underlying neurophysiological correlates. Here simultaneous polysomnography and stereo-electroencephalography recordings from 18 patients are used to assess the spec...

Article GUID: 40126936
Sex-specific effects of intensity and dose of physical activity on BOLD-fMRI cerebrovascular reactivity and cerebral pulsatility

Author(s): Potvin-Jutras Z; Intzandt B; Mohammadi H; Liu P; Chen JJ; Gauthier CJ;

Cerebrovascular reactivity (CVR) and cerebral pulsatility (CP) are important indicators of cerebrovascular health, which are associated with physical activity (PA). While sex differences influence the impact of PA on cerebrovascular health, sex-specific eff...

Article GUID: 40079560
Comparison of Combined Motor Control Training and Isolated Extensor Strengthening Versus General Exercise on Lumbar Paraspinal Muscle Health and Associations With Patient-Reported Outcome Measures in Chronic Low Back Pain Patients: A Randomized Controlled Trial

Author(s): Rosenstein B; Rye M; Roussac A; Naghdi N; Macedo LG; Elliott J; DeMont R; Weber MH; Pepin V; Dover G; Fortin M;...

Study DesignProspective Randomized Controlled Trial.ObjectivesTo investigate the effect of combined motor control and isolated lumbar strengthening exercise (MC + ILEX) vs general exercise (GE) on ...

Article GUID: 40066720
Combating childhood overweight and obesity: The role of Olympic Movement and bodily movement

Author(s): Tam BT; Wan K; Santosa S; Cai Z;

With over 420 million children (aged 0-19 years) worldwide living with overweight or obesity, the "obesity epidemic" or "globesity" is a defining public health challenge of this generation. While significant efforts have been made to address...

Article GUID: 39991475
A database of magnetic resonance imaging-transcranial ultrasound co-registration

Author(s): Alizadeh M; Collins DL; Kersten-Oertel M; Xiao Y;

Purpose: As a portable and cost-effective imaging modality with better accessibility than Magnetic Resonance Imaging (MRI), transcranial sonography (TCS) has demonstrated its flexibility and potential utility in various clinical diagnostic applications, inc...

Article GUID: 39920905
Sex differences in the metabolism of glucose and fatty acids by adipose tissue and skeletal muscle in humans

Author(s): Costa DN; Santosa S; Jensen MD;

Adult males and females have markedly different body composition, energy expenditure, and have different degrees of risk for metabolic diseases. A major aspect of metabolic regulation involves the appropriate storage and disposal of glucose and fatty acids....

Article GUID: 39869194
Dialogue mechanisms between astrocytic and neuronal networks: A whole-brain modelling approach

Author(s): Ali OBK; Vidal A; Grova C; Benali H;

Astrocytes critically shape whole-brain structure and function by forming extensive gap junctional networks that intimately and actively interact with neurons. Despite their importance, existing computational models of whole-brain activity ignore the roles ...

Article GUID: 39804928
Title:Validating MEG estimated resting-state connectome with intracranial EEG
Authors:Afnan J,  Cai Z,  Lina JM,  Abdallah C,  Pellegrino G,  Arcara G,  Khajehpour H,  Frauscher B,  Gotman J,  Grova C, 
Link:https://pubmed.ncbi.nlm.nih.gov/40161991/
DOI:10.1162/netn_a_00441
Category:
PMID:40161991
Dept Affiliation: SOH
1 Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montréal, Québec, H3A 2B4, Canada.
2 Integrated Program in Neuroscience, McGill University, Montréal, Québec H3A 1A1, Canada.
3 Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montréal, Québec H3A 2B4, Canada.
4 Physnum Team, Centre De Recherches Mathématiques, Montréal, Québec, Canada.
5 Electrical Engineering Department, École De Technologie Supérieure, Montréal, Québec H3C 1K3, Canada.
6 Center for Advanced Research in Sleep Medicine, Sacré-Coeur Hospital, Montréal, Québec, Canada.
7 Analytical Neurophysiology Lab, Department of Neurology, Duke University School of Medicine, Durham, North Carolina, USA.
8 Epilepsy program, Schulich School of Medicine and Dentistry, Western University, London, Ontario N6A 5C1, Canada.
9 Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, Venice, Italy.
10 Multi

Description:

Magnetoencephalography (MEG) is widely used for studying resting-state brain connectivity. However, MEG source imaging is ill posed and has limited spatial resolution. This introduces source-leakage issues, making it challenging to interpret MEG-derived connectivity in resting states. To address this, we validated MEG-derived connectivity from 45 healthy participants using a normative intracranial EEG (iEEG) atlas. The MEG inverse problem was solved using the wavelet-maximum entropy on the mean method. We computed four connectivity metrics: amplitude envelope correlation (AEC), orthogonalized AEC (OAEC), phase locking value (PLV), and weighted-phase lag index (wPLI). We compared spatial correlation between MEG and iEEG connectomes across standard canonical frequency bands. We found moderate spatial correlations between MEG and iEEG connectomes for AEC and PLV. However, when considering metrics that correct/remove zero-lag connectivity (OAEC/wPLI), the spatial correlation between MEG and iEEG connectomes decreased. MEG exhibited higher zero-lag connectivity compared with iEEG. The correlations between MEG and iEEG connectomes suggest that relevant connectivity patterns can be recovered from MEG. However, since these correlations are moderate/low, MEG connectivity results should be interpreted with caution. Metrics that correct for zero-lag connectivity show decreased correlations, highlighting a trade-off; while MEG may capture more connectivity due to source-leakage, removing zero-lag connectivity can eliminate true connections.