A5081246826- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Advanced MRI Techniques and Applications
- Optical Coherence Tomography Applications
- Advanced Neuroimaging Techniques and Applications
- Heart Rate Variability and Autonomic Control
- Optical Imaging and Spectroscopy Techniques
- Photoacoustic and Ultrasonic Imaging
- Blood Pressure and Hypertension Studies
- Fetal and Pediatric Neurological Disorders
- Mental Health Research Topics
- Epilepsy research and treatment
- Meta-analysis and systematic reviews
- Non-Invasive Vital Sign Monitoring
- Traumatic Brain Injury and Neurovascular Disturbances
- Connexins and lens biology
- ECG Monitoring and Analysis
- Ultrasound Imaging and Elastography
- Spectroscopy Techniques in Biomedical and Chemical Research
- Dementia and Cognitive Impairment Research
- Machine Learning in Materials Science
- Alzheimer's disease research and treatments
- Coronary Interventions and Diagnostics
- Neurological Disease Mechanisms and Treatments
McGill University
2019-2024
Pasqual Maragall Foundation
2024
Barcelonaβeta Brain Research Center
2024
Epilepsy Society
2021-2023
University College London
2021-2023
National Hospital for Neurology and Neurosurgery
2023
University of Cyprus
2014-2018
Summary Data analysis workflows in many scientific domains have become increasingly complex and flexible. To assess the impact of this flexibility on functional magnetic resonance imaging (fMRI) results, same dataset was independently analyzed by 70 teams, testing nine ex-ante hypotheses. The analytic approaches is exemplified fact that no two teams chose identical to analyze data. This resulted sizeable variation hypothesis test even for whose statistical maps were highly correlated at...
Human brain connectivity yields significant potential as a noninvasive biomarker. Several studies have used fMRI-based fingerprinting to characterize individual patterns of activity. However, it is not clear whether these mainly reflect neural activity or the effect physiological and motion processes. To answer this question, we capitalize on large data sample from Connectome Project rigorously investigate contribution aforementioned processes functional (FC) time-varying FC, well their...
Abstract INTRODUCTION Cerebral blood flow (CBF) is reduced in cognitively impaired (CI) Alzheimer's disease (AD) patients. We checked the sensitivity of time‐encoded arterial spin labeling (te‐ASL) measuring CBF alterations individuals with positive AD biomarkers and associations relevant unimpaired (CU) individuals. METHODS compared te‐ASL single‐postlabel delay (PLD) ASL 59 adults across continuum, classified as CU amyloid beta (Aβ) negative (−), Aβ (+), CI Aβ+. sought AD, cerebrovascular...
Abstract Motor performance decline observed during aging is linked to changes in brain structure and function, however, the precise neural reorganization associated with these remains largely unknown. We investigated neurophysiological correlates of this by quantifying functional effective network connectivity elderly individuals ( n = 11; mean age 67.5 years), compared young adults 12; 23.7 while they performed visually‐guided unimanual bimanual handgrips inside magnetoencephalography (MEG)...
The blood oxygenation level-dependent (BOLD) contrast mechanism allows the noninvasive monitoring of changes in deoxyhemoglobin content. As such, it is commonly used functional magnetic resonance imaging (fMRI) to study brain activity since levels are indirectly related local neuronal through neurovascular coupling mechanisms. However, BOLD signal severely affected by physiological processes as well motion. Due this, several noise correction techniques have been developed correct for...
The size-dependent spectral variations, predicted by Mie theory, have already been considered as a contrast enhancement mechanism in optical coherence tomography. In this work, new spectroscopic metric, the bandwidth of correlation derivative, was developed for estimating scatterer size which is more robust and accurate compared to existing methods. Its feasibility demonstrated using phantoms containing polystyrene microspheres well images normal cancerous human colon. results are very...
Although the mechanisms of sudden unexpected death in epilepsy (SUDEP) are not yet well understood, generalised- or focal-to-bilateral tonic-clonic seizures (TCS) a major risk factor. Previous studies highlighted alterations structures linked to cardio-respiratory regulation; one structure, amygdala, was enlarged people at high SUDEP and those who subsequently died. We investigated volume changes microstructure amygdala with varied for since that structure can play key role triggering apnea...
The self-assembly of short peptides into fibrous nanostructures (such as fibrils and tubes) has recently become the subject intense theoretical experimental scrutiny, such assemblies are promising candidates for nanobiotechnological applications. sequences natural proteins may provide a rich source inspiration design self-assembling peptides. We describe aspartate-rich undecapeptide (NH3(+)-LSGSDSDTLTV-NH2), sequence derived from shaft adenovirus fiber. demonstrate that peptide assembles...
Sudden unexpected death in epilepsy (SUDEP) is the leading cause of premature mortality among people with epilepsy. Evidence from witnessed and monitored SUDEP cases indicate seizure-induced cardiovascular respiratory failures; yet, underlying mechanisms remain obscure. occurs often during night early morning hours, suggesting that sleep or circadian rhythm-induced changes physiology contribute to fatal event. Resting-state fMRI studies have found altered functional connectivity between...
Background: Disruptions in central autonomic processes people with epilepsy have been studied through evaluation of heart rate variability (HRV). Decreased HRV appears compared to healthy controls, suggesting a shift balance toward sympathetic dominance; recent studies associated changes seizure severity and outcome interventions. However, the underlying these remain unclear. We examined nature by assessing alterations whole-brain functional connectivity, relating those HRV. Methods:...
Abstract Human brain connectivity yields significant potential as a noninvasive biomarker. Several studies have used fMRI-based fingerprinting to characterize individual patterns of activity. However, it is not clear whether these mainly reflect neural activity or the effect physiological and motion processes. To answer this question, we capitalize on large data sample from Connectome Project rigorously investigate contribution aforementioned processes functional (FC) time-varying FC, well...
Abstract It is well established that head motion and physiological processes (e.g. cardiac breathing activity) should be taken into consideration when analyzing interpreting results in fMRI studies. However, even though recent studies aimed to evaluate the performance of different preprocessing pipelines there still no consensus on optimal strategy. This partly due fact quality control (QC) metrics used differences across have often yielded contradictory results. Furthermore, techniques...
Abstract Functional magnetic resonance imaging (fMRI) is widely viewed as the gold standard for studying brain function due to its high spatial resolution and non-invasive nature. However, it well established that changes in breathing patterns heart rate strongly influence blood oxygen-level dependent (BOLD) fMRI signal this, turn, can have considerable effects on studies, particularly resting-state studies. The dynamic of physiological processes are often quantified by using convolution...
Abstract The blood oxygenation level-dependent (BOLD) contrast mechanism allows the noninvasive monitoring of changes in deoxyhemoglobin content. As such, it is commonly used functional magnetic resonance imaging (fMRI) to study brain activity since levels are indirectly related local neuronal through neurovascular coupling mechanisms. However, BOLD signal severely affected by physiological processes as well motion. Due this, several noise correction techniques have been developed correct...
Measures of cardiac pulsatility were generated from resting-state fMRI data using ICA information and processed HRV traces. This was achieved by performing a correlation between the component time series to isolate cardiac-related components non-cardiac-related components. Classified datasets used train FIX noise correction algorithm. classify in 4123 rfMRI datasets. voxelwise be determining R2 variance explained voxel classified Comparisons with gold standard measures derived traces showed...
Abstract Background Amyloid‐β (Aβ) pathology affects resting state functional connectivity (RSFC), even in cognitively unimpaired (CU) individuals. However, the impact of such an aberrant RSFC on cognitive decline is yet to be determined. Moreover, most prior research focused fibrillary Aβ deposition predict RSFC, while early dysmetabolism as reflected by cerebrospinal fluid (CSF) concentrations has received less attention. We assessed a function both CSF and p‐tau CU individuals, further...
Abstract Background Amyloid‐ß (Aß) pathology affects resting state functional connectivity (RSFC), even in cognitively unimpaired (CU) individuals. However, the impact of such an aberrant RSFC on cognitive decline is yet to be determined. Moreover, most prior research focused fibrillary Aß deposition predict RSFC, while early dysmetabolism as reflected by cerebrospinal fluid (CSF) concentrations has received less attention. We assessed a function both CSF and p‐tau CU individuals, further...