A. Omidvarnia

发表

Spontaneous brain network activity: Analysis of its temporal complexity

Amir H. Omidvarnia, G. Jackson, A. Zalesky, 2017, Network Neuroscience.

Interictal and Ictal Brain Network Changes in Focal Epilepsy

Amir H. Omidvarnia, G. Jackson, M. Pedersen, 2019, Imaging Biomarkers in Epilepsy.

The dynamics of functional connectivity in neocortical focal epilepsy

Amir H. Omidvarnia, G. Jackson, E. Curwood, 2017, NeuroImage: Clinical.

Dynamic analysis of fMRI activation during epileptic spikes can help identify the seizure origin

Amir H. Omidvarnia, G. Jackson, T. Dhollander, 2020, Epilepsia.

Human GABRG2 generalized epilepsy

I. Scheffer, G. Jackson, S. Berkovic, 2019, Neurology: Genetics.

Increased segregation of brain networks in focal epilepsy: An fMRI graph theory finding

Graeme D. Jackson, Jennifer M. Walz, Amir H. Omidvarnia, 2015, NeuroImage: Clinical.

Newborn EEG connectivity analysis using time-frequency signal processing techniques

Amir H. Omidvarnia, A. Omidvarnia, 2014 .

Functional bimodality in the brain networks of preterm and term human newborns.

Sampsa Vanhatalo, Peter Fransson, Amir Omidvarnia, 2014, Cerebral cortex.

Clinical benefit of presurgical EEG‐fMRI in difficult‐to‐localize focal epilepsy: A single‐institution retrospective review

G. Jackson, D. Abbott, C. Tailby, 2019, Epilepsia.

Temporal complexity of EEG encodes human alertness

Amir H. Omidvarnia, M. Mesbah, A. Omidvarnia, 2022, Physiological measurement.

On the Spatial Distribution of Temporal Complexity in Resting State and Task Functional MRI

Amir H. Omidvarnia, D. Ville, A. Zalesky, 2022, Entropy.

Intermediately Synchronised Brain States optimise trade-off between Subject Identifiability and Predictive Capacity

S. Eickhoff, G. Jocham, K. Patil, 2022, bioRxiv.

A novel multivariate phase synchrony measure: Application to multichannel newborn EEG analysis

Boualem Boashash, Ghasem Azemi, Paul B. Colditz, 2019, Digit. Signal Process..

Automatic detection of generalized paroxysmal fast activity in interictal EEG using time-frequency analysis

Graeme D. Jackson, Amir H. Omidvarnia, Mangor Pedersen, 2021, Comput. Biol. Medicine.

Automatic detection of generalized paroxysmal fast activity in Lennox-Gastaut syndrome using a bi-modal EEG time-frequency feature

Graeme D. Jackson, Amir Omidvarnia, Amir H. Omidvarnia, 2020 .

Towards fast and reliable simultaneous EEG-fMRI analysis of epilepsy with automatic spike detection

Graeme D. Jackson, Amir Omidvarnia, Amir H. Omidvarnia, 2018, Clinical Neurophysiology.

Dynamic coupling between fMRI local connectivity and interictal EEG in focal epilepsy: A wavelet analysis approach

Andrew Zalesky, Graeme D. Jackson, David F. Abbott, 2017, Human brain mapping.

Spatiotemporal mapping of epileptic spikes using simultaneous EEG-functional MRI

Jennifer M Walz, Amir Omidvarnia, Amir H. Omidvarnia, 2017, Brain : a journal of neurology.

Temporal complexity of fMRI is reproducible and correlates with higher order cognition

Dimitri Van De Ville, Andrew Zalesky, Graeme D. Jackson, 2019, NeuroImage.

Epileptic Seizure Detection Using Empirical Mode Decomposition

A.K. Tafreshi, A.M. Nasrabadi, A.H. Omidvarnia, 2008, 2008 IEEE International Symposium on Signal Processing and Information Technology.

Multilayer network switching rate predicts brain performance

Andrew Zalesky, Graeme D. Jackson, Amir Omidvarnia, 2018, Proceedings of the National Academy of Sciences.

On the relationship between instantaneous phase synchrony and correlation-based sliding windows for time-resolved fMRI connectivity analysis

Andrew Zalesky, Graeme D. Jackson, Amir H. Omidvarnia, 2017, NeuroImage.

Measuring Time-Varying Information Flow in Scalp EEG Signals: Orthogonalized Partial Directed Coherence

Boualem Boashash, Ghasem Azemi, Paul B. Colditz, 2014, IEEE Transactions on Biomedical Engineering.

Kalman filter-based time-varying cortical connectivity analysis of newborn EEG

John M. O'Toole, Mostefa Mesbah, Boualem Boashash, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG

Mostefa Mesbah, Boualem Boashash, Ghasem Azemi, 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).

The Burden of Reliability: How Measurement Noise Limits Brain-Behaviour Predictions

Amir H. Omidvarnia, S. Eickhoff, R. Langner, 2024, bioRxiv.

Reducing the influence of intramodular connectivity in participation coefficient

James M. Shine, Andrew Zalesky, Graeme D. Jackson, 2020, Network Neuroscience.

Reducing module size bias of participation coefficient

James M. Shine, Andrew Zalesky, Graeme D. Jackson, 2019, bioRxiv.

Is resting state fMRI better than individual characteristics at predicting cognition?

Amir H. Omidvarnia, J. Dukart, S. Eickhoff, 2023, bioRxiv.

An EEG-based methodology for the estimation of functional brain connectivity networks: Application to the analysis of newborn EEG seizure

Ghasem Azemi, Amir H. Omidvarnia, Ali Kareem Abbas, 2021, Biomed. Signal Process. Control..

Robust estimation of highly-varying nonlinear instantaneous frequency of monocomponent signals using a lower-order complex-time distribution

John M. O'Toole, Boualem Boashash, Ghasem Azemi, 2013, Signal Process..