Publications by João Pedro Forjaco Jorge

Brain's Dynamic Functional Organization with Simultaneous EEG-fMRI Networks

João Pedro Forjaco Jorge, Patricia Figueiredo

The brain's functional networks can be assessed using imaging techniques like functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). Recent studies have suggested a link between the dynamic functional connectivity (dFC) captured by ...

SPRINGER INTERNATIONAL PUBLISHING AG2023

Segmenting electroencephalography wires reduces radiofrequency shielding artifacts in simultaneous electroencephalography and functional magnetic resonance imaging at 7 T

Rolf Gruetter, João Pedro Forjaco Jorge, Thanh Phong Kevin Lê, Özlem Ipek

Purpose: Simultaneous scalp electroencephalography and functional magnetic resonance imaging (EEG-fMRI) enable noninvasive assessment of brain function with high spatial and temporal resolution. However, at ultra-high field, the data quality of both modali ...

Wiley2022

The relationship between EEG and fMRI connectomes is reproducible across simultaneous EEG-fMRI studies from 1.5T to 7T

François Lazeyras, Rolf Gruetter, João Pedro Forjaco Jorge, Giannina Rita Iannotti, Arwen Blanche Giraud

Both electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are non-invasive methods that show complementary aspects of human brain activity. Despite measuring different proxies of brain activity, both the measured blood-oxygenation ...

2021

EEG Microstates Predict Concurrent fMRI Dynamic Functional Connectivity States

Thomas Koenig, João Pedro Forjaco Jorge, Ana Francisca Leal Silva Soares, Patricia Figueiredo

Brain functional connectivity measured by resting-state fMRI varies over multiple time scales, and recurrent dynamic functional connectivity (dFC) states have been identified. These have been found to be associated with different cognitive and pathological ...

SPRINGER2021

Improved susceptibility-weighted imaging for high contrast and resolution thalamic nuclei mapping at 7T

Meritxell Bach Cuadra, Elena Najdenovska, José Pedro Rebelo Ferreira Marques, Frédéric Gretsch, João Pedro Forjaco Jorge, Daniel Gallichan, Constantin Tuleasca

Purpose The thalamus is an important brain structure and neurosurgical target, but its constituting nuclei are challenging to image non-invasively. Recently, susceptibility-weighted imaging (SWI) at ultra-high field has shown promising capabilities for tha ...

Wiley2020

3-Dimensional magnetic resonance imaging of the freely moving human eye

Jérôme Yerly, Silvio Ionta, Josefina Adriana Maria Bastiaansen, David Zeugin, João Pedro Forjaco Jorge, Benedetta Franceschiello, Lorenzo Di Sopra

Eye motion is a major confound for magnetic resonance imaging (MRI) in neuroscience or ophthalmology. Currently, solutions toward eye stabilisation include participants fixating or administration of paralytics/anaesthetics. We developed a novel MRI protoco ...

PERGAMON-ELSEVIER SCIENCE LTD2020

CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis

Jonas Richiardi, Meritxell Bach Cuadra, Reto Meuli, Tobias Kober, Cristina Granziera, João Pedro Forjaco Jorge, Mario Joao Fartaria de Oliveira, Francesco La Rosa

The central vein sign (CVS) is an efficient imaging biomarker for multiple sclerosis (MS) diagnosis, but its application in clinical routine is limited by inter-rater variability and the expenditure of time associated with manual assessment. We describe a ...

2020

Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI

Rolf Gruetter, Lucie Bréchet, João Pedro Forjaco Jorge

The temporal structure of self-generated cognition is a key attribute to the formation of a meaningful stream of consciousness. When at rest, our mind wanders from thought to thought in distinct mental states. Despite the marked importance of ongoing menta ...

2019

Comparison of MRI-based automated segmentation methods and functional neurosurgery targeting with direct visualization of the Ventro-intermediate thalamic nucleus at 7T

Jean-Philippe Thiran, Meritxell Bach Cuadra, Elena Najdenovska, José Pedro Rebelo Ferreira Marques, João Pedro Forjaco Jorge, Daniel Gallichan, Constantin Tuleasca

The ventro-intermediate nucleus (Vim), as part of the motor thalamic nuclei, is a commonly used target in functional stereotactic neurosurgery for treatment of drug-resistant tremor. As it cannot be directly visualized on routinely used magnetic resonance ...

Nature Research2019

Alpha/beta power decreases track the fidelity of stimulus-specific information

João Pedro Forjaco Jorge

Massed synchronised neuronal firing is detrimental to information processing. When networks of task-irrelevant neurons fire in unison, they mask the signal generated by task-critical neurons. On a macroscopic level, such synchronisation can contribute to a ...

2019

Exploring the relative efficacy of motion artefact correction techniques for EEG data acquired during simultaneous fMRI

João Pedro Forjaco Jorge

Simultaneous EEG-fMRI allows multiparametric characterisation of brain function, in principle enabling a more complete understanding of brain responses; unfortunately the hostile MRI environment severely reduces EEG data quality. Simply eliminating data se ...

Wiley2019

Motion-Resolved 3D Magnetic Resonance Imaging Of The Human Eye

Jérôme Yerly, Silvio Ionta, Josefina Adriana Maria Bastiaansen, David Zeugin, João Pedro Forjaco Jorge, Micah Murray, Benedetta Franceschiello, Lorenzo Di Sopra

ASSOC RESEARCH VISION OPHTHALMOLOGY INC2019

Investigating the variability of cardiac pulse artifacts across heartbeats in simultaneous EEG-fMRI recordings: A 7T study

Rolf Gruetter, Lucie Bréchet, João Pedro Forjaco Jorge

Electroencephalography (EEG) recordings performed in magnetic resonance imaging (MRI) scanners are affected by complex artifacts caused by heart function, often termed pulse artifacts (PAs). PAs can strongly compromise EEG data quality, and remain an open ...

2019

MP2RAGE and Susceptibility-Weighted Imaging in Lesional Epilepsy at 7T

François Lazeyras, Lijing Xin, Maxime Olivier Baud, João Pedro Forjaco Jorge, Giannina Rita Iannotti

BACKGROUND AND PURPOSE: Surgery is the first choice therapeutic approach in case of drug-resistant epilepsy. Unfortunately, up to 43% of patients referred for presurgical assessment do not have a lesion detectable by routine 3T magnetic resonance imaging ( ...

2018

Tracking discrete off-resonance markers with three spokes (trackDOTS) for compensation of head motion and B0 perturbations: Accuracy and performance in anatomical imaging

José Pedro Rebelo Ferreira Marques, Frédéric Gretsch, João Pedro Forjaco Jorge, Daniel Gallichan

PURPOSE: To develop a novel approach for head motion and B0 field monitoring based on tracking discrete off-resonance markers with three spokes (trackDOTS). METHODS: Small markers filled with acetic acid were built and attached to a head cap. Marker positi ...

Wiley-Blackwell2018

Differential diagnosis of multiple sclerosis with machine learning-based central vein sign recognition

Jonas Richiardi, Meritxell Bach Cuadra, Reto Meuli, Tobias Kober, João Pedro Forjaco Jorge, Mario Joao Fartaria de Oliveira, Francesco La Rosa

SAGE PUBLICATIONS LTD2018

Mapping and characterization of positive and negative BOLD responses to visual stimulation in multiple brain regions at 7T

Rolf Gruetter, Wietske Van der Zwaag, João Pedro Forjaco Jorge, Patricia Figueiredo

External stimuli and tasks often elicit negative BOLD responses in various brain regions, and growing experimental evidence supports that these phenomena are functionally meaningful. In this work, the high sensitivity available at 7T was explored to map an ...

Wiley2018

Influence of physiological noise on accelerated 2D and 3D resting state functional MRI data at 7 T

Rolf Gruetter, Wietske Van der Zwaag, José Pedro Rebelo Ferreira Marques, João Pedro Forjaco Jorge, Olivier Benoit Thomas Reynaud

Physiological noise often dominates the blood-oxygen level-dependent (BOLD) signal fluctuations in high-field functional MRI (fMRI) data. Therefore, to optimize fMRI protocols, it becomes crucial to investigate how physiological signal fluctuations impact ...

Wiley-Blackwell2017

Presurgical brain mapping in epilepsy using simultaneous EEG and functional MRI at ultra-high field: feasibility and first results

François Lazeyras, Wietske Van der Zwaag, João Pedro Forjaco Jorge, Giannina Rita Iannotti

OBJECTIVES: The aim of this study was to demonstrate that eloquent cortex and epileptic-related hemodynamic changes can be safely and reliably detected using simultaneous electroencephalography (EEG)-functional magnetic resonance imaging (fMRI) recordings ...

Springer Verlag2016

Ballistocardiogram artifact correction taking into account physiological signal preservation in simultaneous EEG-fMRI

Wietske Van der Zwaag, João Pedro Forjaco Jorge, Ana Francisca Leal Silva Soares, Patricia Figueiredo

The ballistocardiogram (BCG) artifact is currently one of the most challenging in the EEG acquired concurrently with fMRI, with correction invariably yielding residual artifacts and/or deterioration of the physiological signals of interest. In this paper, ...

Elsevier2016