Publications related to Brain simulation

Common and distinct brain networks of autoscopic phenomena

Olaf Blanke, Lukas Heydrich, Eva Blondiaux

Objective Autoscopic phenomena (AP) are illusory own body reduplications characterized by the visual perception of a second own body in extrapersonal space, and include three main forms: autoscopic hallucination (AH), heautoscopy (HAS) and out-of-body-expe ...

2021

Exploring MEG brain fingerprints: Evaluation, pitfalls, and interpretations

Dimitri Nestor Alice Van De Ville, Alessandra Griffa, Enrico Amico, Ekansh Sareen, Sélima Zahar

Individual characterization of subjects based on their functional connectome (FC), termed “FC fingerprinting”, has become a highly sought-after goal in contemporary neuroscience research. Recent functional magnetic resonance imaging (fMRI) studies have dem ...

2021

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

Amir Hossein Omidvarnia

This study presents a new methodology for obtaining functional brain networks (FBNs) using multichannel scalp EEG recordings. The developed methodology extracts pair-wise phase synchrony between EEG electrodes to obtain FBNs at delta, theta, and alpha-band ...

ELSEVIER SCI LTD2021

Predicting Superagers by Machine Learning Classification Based on the Functional Brain Connectome Using Resting-State Functional Magnetic Resonance Imaging

Chang-Hyun Park

Superagers are defined as older adults who have youthful memory performance comparable to that of middle-aged adults. Classifying superagers based on the brain connectome using machine learning modeling can provide important insights on the physiology unde ...

OXFORD UNIV PRESS INC2021

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

Amir Hossein Omidvarnia

Objective: Markup of generalized interictal epileptiform discharges (IEDs) on EEG is an important step in the diagnosis and characterization of epilepsy. However, manual EEG markup is a time-consuming, subjective, and the specialized task where the human r ...

PERGAMON-ELSEVIER SCIENCE LTD2021

Validating atlas-based lesion disconnectomics in multiple sclerosis: A retrospective multi-centric study

Tobias Kober, Bénédicte Marie Maréchal, Reto Meuli, Jonas Richiardi, Mario Joao Fartaria de Oliveira

The translational potential of MR-based connectivity modelling is limited by the need for advanced diffusion imaging, which is not part of clinical protocols for many diseases. In addition, where diffusion data is available, brain connectivity analyses rel ...

2021

Analytic performance modeling and analysis of detailed neuron simulations

Francesco Cremonesi, Gerhard Wellein

Big science initiatives are trying to reconstruct and model the brain by attempting to simulate brain tissue at larger scales and with increasingly more biological detail than previously thought possible. The exponential growth of parallel computer perform ...

2020

Noise analysis techniques of in-core modulation experiments of the European CORTEX project

Andreas Pautz, Vincent Pierre Lamirand, Mathieu Hursin, Carlo Fiorina, Oskari Ville Pakari, Pavel Frajtag, Axel Guy Marie Laureau, Adolfo Rais

This paper deals with the analysis of reactor modulation experiments for code validation in the framework of the Horizon 2020 European project CORTEX. The analysis is based on a statistical based approach on spectral powers and their phase shift angles cal ...

2020

Understanding Computational Costs of Cellular-Level Brain Tissue Simulations Through Analytical Performance Models

Felix Schürmann, Francesco Cremonesi

Computational modeling and simulation have become essential tools in the quest to better understand the brain's makeup and to decipher the causal interrelations of its components. The breadth of biochemical and biophysical processes and structures in the b ...

HUMANA PRESS INC2020

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Brain simulation

Common and distinct brain networks of autoscopic phenomena

Exploring MEG brain fingerprints: Evaluation, pitfalls, and interpretations

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

Predicting Superagers by Machine Learning Classification Based on the Functional Brain Connectome Using Resting-State Functional Magnetic Resonance Imaging

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

Validating atlas-based lesion disconnectomics in multiple sclerosis: A retrospective multi-centric study

Imaging with Coherent X-rays: From the Early Synchrotron Tests to SYNAPSE

Analytic performance modeling and analysis of detailed neuron simulations

Noise analysis techniques of in-core modulation experiments of the European CORTEX project

Understanding Computational Costs of Cellular-Level Brain Tissue Simulations Through Analytical Performance Models

Graph Chatbot

Chat with Graph Search

Predicting Superagers by Machine Learning Classification Based on the Functional Brain Connectome Using Resting-State Functional Magnetic Resonance Imaging

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

Validating atlas-based lesion disconnectomics in multiple sclerosis: A retrospective multi-centric study

Imaging with Coherent X-rays: From the Early Synchrotron Tests to SYNAPSE

Analytic performance modeling and analysis of detailed neuron simulations

Noise analysis techniques of in-core modulation experiments of the European CORTEX project

Understanding Computational Costs of Cellular-Level Brain Tissue Simulations Through Analytical Performance Models

Exploring MEG brain fingerprints: Evaluation, pitfalls, and interpretations

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