Keyword search (4,163 papers available)

"Pellegrino G" Authored Publications:

Title Authors PubMed ID
1 Hemodynamic correlates of fluctuations in neuronal excitability: A simultaneous Paired Associative Stimulation (PAS) and functional near infra-red spectroscopy (fNIRS) study Cai Z; Pellegrino G; Spilkin A; Delaire E; Uji M; Abdallah C; Lina JM; Fecteau S; Grova C; 40567300
PERFORM
2 Validating MEG source imaging of resting state oscillatory patterns with an intracranial EEG atlas Afnan J; von Ellenrieder N; Lina JM; Pellegrino G; Arcara G; Cai Z; Hedrich T; Abdallah C; Khajehpour H; Frauscher B; Gotman J; Grova C; 37149236
PERFORM
3 Hierarchical Bayesian modeling of the relationship between task-related hemodynamic responses and cortical excitability Cai Z; Pellegrino G; Lina JM; Benali H; Grova C; 36250709
PERFORM
4 Evaluation of a personalized functional near infra-red optical tomography workflow using maximum entropy on the mean Cai Z; Uji M; Aydin Ü; Pellegrino G; Spilkin A; Delaire É; Abdallah C; Lina JM; Grova C; 34342073
PERFORM
5 How cerebral cortex protects itself from interictal spikes: The alpha/beta inhibition mechanism Pellegrino G; Hedrich T; Sziklas V; Lina JM; Grova C; Kobayashi E; 34002916
PERFORM
6 Deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy Machado A; Cai Z; Vincent T; Pellegrino G; Lina JM; Kobayashi E; Grova C; 33727581
PERFORM
7 Effects of Independent Component Analysis on Magnetoencephalography Source Localization in Pre-surgical Frontal Lobe Epilepsy Patients Pellegrino G, Xu M, Alkuwaiti A, Porras-Bettancourt M, Abbas G, Lina JM, Grova C, Kobayashi E, 32582009
PERFORM
8 Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients. Pellegrino G, Hedrich T, Porras-Bettancourt M, Lina JM, Aydin Ü, Hall J, Grova C, Kobayashi E 32386115
PERFORM
9 Magnetoencephalography resting state connectivity patterns as indicatives of surgical outcome in epilepsy patients. Aydin Ü, Pellegrino G, Bin Ka'b Ali O, Abdallah C, Dubeau F, Lina JM, Kobayashi E, Grova C 32191632
PERFORM
10 Detection and Magnetic Source Imaging of Fast Oscillations (40-160 Hz) Recorded with Magnetoencephalography in Focal Epilepsy Patients. von Ellenrieder N, Pellegrino G, Hedrich T, Gotman J, Lina JM, Grova C, Kobayashi E 26830767
PERFORM
11 The movement time analyser task investigated with functional near infrared spectroscopy: an ecologic approach for measuring hemodynamic response in the motor system. Vasta R, Cerasa A, Gramigna V, Augimeri A, Olivadese G, Pellegrino G, Martino I, Machado A, Cai Z, Caracciolo M, Grova C, Quattrone A 27055849
PERFORM
12 Source localization of the seizure onset zone from ictal EEG/MEG data. Pellegrino G, Hedrich T, Chowdhury R, Hall JA, Lina JM, Dubeau F, Kobayashi E, Grova C 27059157
PERFORM
13 Clinical yield of magnetoencephalography distributed source imaging in epilepsy: A comparison with equivalent current dipole method. Pellegrino G, Hedrich T, Chowdhury RA, Hall JA, Dubeau F, Lina JM, Kobayashi E, Grova C 29024165
PERFORM
14 Reproducibility of EEG-MEG fusion source analysis of interictal spikes: Relevance in presurgical evaluation of epilepsy. Chowdhury RA, Pellegrino G, Aydin Ü, Lina JM, Dubeau F, Kobayashi E, Grova C 29164737
PERFORM
15 Optimal positioning of optodes on the scalp for personalized functional near-infrared spectroscopy investigations. Machado A, Cai Z, Pellegrino G, Marcotte O, Vincent T, Lina JM, Kobayashi E, Grova C 30107210
PERFORM
16 Comparison of the spatial resolution of source imaging techniques in high-density EEG and MEG. Hedrich T, Pellegrino G, Kobayashi E, Lina JM, Grova C 28619655
PERFORM

 

Title:Hemodynamic correlates of fluctuations in neuronal excitability: A simultaneous Paired Associative Stimulation (PAS) and functional near infra-red spectroscopy (fNIRS) study
Authors:Cai ZPellegrino GSpilkin ADelaire EUji MAbdallah CLina JMFecteau SGrova C
Link:https://pubmed.ncbi.nlm.nih.gov/40567300/
DOI:10.1016/j.ynirp.2022.100099
Publication:Neuroimage. Reports
Keywords:ExcitabilityFinger tappingFunctional near infrared spectroscopy (fNIRS)Maximum entropy on the mean (MEM)Paired associative stimulation (PAS)Transcranial magnetic stimulation (TMS)
PMID:40567300 Category: Date Added:2025-06-26
Dept Affiliation: PERFORM
1 Multimodal Functional Imaging Lab, Department of Physics and PERFORM Centre, Concordia University, Montréal, Québec, Canada.
2 Neurology and Neurosurgery Department, Montreal Neurological Institute, McGill University, Montréal, Québec, Canada.
3 Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montréal, Québec, Canada.
4 Département de Génie Electrique, École de Technologie Supérieure, Montréal, Québec, Canada.
5 Centre De Recherches En Mathématiques, Montréal, Québec, Canada.
6 CERVO Brain Research Centre, Centre Intégré Universitaire De Santé Et De Services Sociaux De La Capitale-Nationale, Canada.
7 Department of Psychiatry and Neurosciences, Faculty of Medicine, Université Laval, Canada.

Description:

Background: The relationship between task-related hemodynamic activity and brain excitability is poorly understood in humans as it is technically challenging to combine simultaneously non-invasive brain stimulation and neuroimaging modalities. Cortical excitability corresponds to the readiness to become active and as such it may be linked to metabolic demand.

Hypotheses: Cortical excitability and hemodynamic activity are positively linked so that increases in hemodynamic activity correspond to increases in excitability and vice-versa.

Methods: Magnitudes of excitability and hemodynamic activity were investigated via simultaneous Transcranial Magnetic Stimulation (TMS) and functional Near Infrared Spectroscopy (fNIRS). Sixteen healthy subjects participated in a sham-controlled, pseudorandomized, counterbalanced study with PAS (PAS10/PAS25/Sham) on the right primary motor cortex (M1). The relationship between M1 excitability (Motor Evoked Potentials, MEP) and hemodynamic responses to finger tapping reconstructed via personalized fNIRS was assessed.

Results: Hemodynamic activity exhibited a significant correlation with cortical excitability: increased HbO and HbR (absolute amplitude) corresponded to increased excitability and vice-versa (r = 0.25; p = 0.03 and r = 0.16; p = 0.17, respectively). The effect of PAS on excitability and hemodynamic activity showed a trend of positive correlation with MEP ratios (post-PAS/pre-PAS) linked to HbO and HbR ratios (r = 0.19, p = 0.29; r = 0.18, p = 0.30, respectively).

Conclusions: TMS-fNIRS is a suitable technique for simultaneous investigation of excitability and hemodynamic responses and indicates a relationship between these two cortical properties. PAS effect is not limited to cortical excitability but also impacts hemodynamic processes. These findings have an impact on the application of neuromodulatory interventions in patients with neuropsychiatric disorders.





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