Pilar Garcés
A5047370419- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Autism Spectrum Disorder Research
- Genetics and Neurodevelopmental Disorders
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Genetic Neurodegenerative Diseases
- Dementia and Cognitive Impairment Research
- Mental Health Research Topics
- Sleep and Wakefulness Research
- Congenital heart defects research
- Advanced Memory and Neural Computing
- Sleep and related disorders
- Neural and Behavioral Psychology Studies
- Face Recognition and Perception
- Virology and Viral Diseases
- Attention Deficit Hyperactivity Disorder
- Health, Environment, Cognitive Aging
- Obsessive-Compulsive Spectrum Disorders
- Evolutionary Psychology and Human Behavior
- Ophthalmology and Eye Disorders
- Neurological disorders and treatments
- Neuroscience and Neuropharmacology Research
- Peripheral Neuropathies and Disorders
Roche (Switzerland)
2016-2025
Aims Community College
2024
Novartis (Switzerland)
2024
Hospital General Universitario Gregorio Marañón
2024
Hospital Universitario Doctor Peset
2024
Hospital Clínico Universitario de Valladolid
2024
Hospital Universitario Virgen de la Arrixaca
2024
Institut Pasteur
2024
Universidad Católica San Antonio de Murcia
2024
Hospital Universitario Ramón y Cajal
2024
The tremendous clinical and aetiological diversity among individuals with autism spectrum disorder (ASD) has been a major obstacle to the development of new treatments, as many may only be effective in particular subgroups. Precision medicine approaches aim overcome this challenge by combining pathophysiologically based treatments stratification biomarkers that predict which treatment most beneficial for individuals. However, so far, we have no single validated biomarker ASD. This due fact...
Functional connectivity alterations are conserved in multiple cohorts of patients with autism spectrum disorder.
The EU-AIMS Longitudinal European Autism Project (LEAP) is to date the largest multi-centre, multi-disciplinary observational study on biomarkers for autism spectrum disorder (ASD). current paper describes clinical characteristics of LEAP cohort and examines age, sex IQ differences in ASD core symptoms common co-occurring psychiatric symptoms. A companion overall design experimental protocol outlines strategy identify stratification biomarkers. From six research centres four countries, we...
Functional connectivity (FC) alterations represent a key feature in Alzheimer´s Disease (AD) and provide useful tool to characterize predict the course of disease. Those have been also described Mild Cognitive Impairment (MCI), prodromal stage AD. There is growing interest detecting AD pathology brain very early stages disorder. Subjective Decline (SCD) could preclinical asymptomatic but little known about this population. In present work we assessed whether FC disruptions are already stage,...
Modern Elekta Neuromag MEG devices include 102 sensor triplets containing one magnetometer and two planar gradiometers. The first processing step is often a signal space separation (SSS), which provides powerful noise reduction. A question commonly raised by researchers reviewers relates to data should be employed in analyses: (1) magnetometers only, (2) gradiometers (3) together. community currently divided with regard the proper answer.First, we provide theoretical evidence that both...
The coordinated activity of the resting-state brain can be evaluated with magnetoencephalography (MEG) for distinct rhythms by performing source reconstruction to estimate activities target regions and employing one many existent functional connectivity (FC) algorithms. Although this procedure has been applied in a great amount studies both healthy pathological populations, reliability such FC estimates is unknown, impairs use MEG at individual level. In study, test-retest resting was...
Autism spectrum disorder ("autism") is a highly heterogeneous neurodevelopmental condition with few effective treatments for core and associated features. To make progress we need to both identify validate neural markers that help parse heterogeneity tailor therapies specific neurobiological profiles. Atypical hemispheric lateralization stable feature across studies in autism, but its potential as stratification marker has not been widely examined. In order dissect used the large EU-AIMS...
Abstract Background Understanding the development of neuronal circuitry underlying autism spectrum disorder (ASD) is critical to shed light into its etiology and for treatment options. Resting state EEG provides a window spontaneous local long-range synchronization has been investigated in many ASD studies, but results are inconsistent. Unbiased investigation large comprehensive samples focusing on replicability needed. Methods We quantified resting alpha peak metrics, power (PS, 2–32 Hz)...
The neurophysiological changes associated with Alzheimer’s Disease (AD) and Mild Cognitive Impairment (MCI) include an increase in low frequency activity, as measured electroencephalography or magnetoencephalography (MEG). A relevant property of spectral measures is the alpha peak, which corresponds to dominant rhythm. Here we studied spatial distribution MEG resting state peak amplitude values a sample 27 MCI patients 24 age-matched healthy controls. Power spectra were reconstructed source...
Synaptic disruption is an early pathological sign of the neurodegeneration Dementia Alzheimer's type (DAT). The changes in network synchronization are evident patients with Mild Cognitive Impairment (MCI) at group level, but there very few Magnetoencephalography (MEG) studies regarding discrimination individual level. In international multicenter study, we used MEG and functional connectivity metrics to discriminate MCI from normal aging person A labeled sample features (links) that...
Abstract The consideration of Subjective Cognitive Decline (SCD) as a preclinical stage AD remains still matter debate. Alpha band alterations represent one the most significant changes in electrophysiological profile AD. In particular, patients exhibit reduced alpha relative power and frequency. We used activity measured with MEG to study whether SCD MCI elders present these characteristic AD, determine evolution observed across spectrum. total sample consisted 131 participants: 39 without...
Structural and functional connectivity (SC FC) have received much attention over the last decade, as they offer unique insight into coordination of brain functioning. They are often assessed independently with three imaging modalities: SC using diffusion-weighted (DWI), FC magnetic resonance (fMRI), magnetoencephalography/electroencephalography (MEG/EEG). DWI provides information about white matter organization, allowing reconstruction fiber bundles. fMRI uses blood-oxygenation...
Introduction: Subjective Cognitive Decline (SCD) is a largely unknown state thought to represent preclinical stage of Alzheimer’s Disease (AD) previous mild cognitive impairment (MCI). However, the course network disruption in these stages scarcely characterized. Methods: We employed resting magnetoencephalography source space calculate smallworldness, clustering, modularity and transitivity. Nodal measures (clustering node degree) as well modular partitions were compared between groups....
Over the past years, several studies on Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) have reported Default Mode Network (DMN) deficits. This network is attracting increasing interest in AD community, as it seems to play an important role cognitive functioning beta amyloid deposition. Attention has been particularly drawn how different DMN regions are connected using functional or structural connectivity. To this end, most used Magnetic Resonance Imaging (fMRI), Positron...
The apolipoprotein E (APOE) ε4 allele constitutes the major genetic risk for development of late onset Alzheimer's disease (AD). However, its influence on neurodegeneration that occurs in early AD remains unresolved. In this study, restin
Several studies have reported changes in spontaneous brain rhythms that could be used as clinical biomarkers or the evaluation of neuropsychological and drug treatments longitudinal using magnetoencephalography (MEG).There is an increasing necessity to use these measures early diagnosis pathology progression; however, there a lack addressing how reliable they are.Here, we provide first test-retest reliability estimate MEG power resting-state at sensor source space.In this study, recorded 3...
Heterogeneity in the phenotypic presentation of autism spectrum disorder (ASD) is apparent profile and severity sensory features. Here, we applied factor mixture modelling (FMM) to test a multidimensional model processing ASD. We aimed identify homogeneous subgroups ASD that differ intrinsically their along continuous scores. also investigated relation clinical variables: sex, age, IQ, social-communication symptoms, restricted repetitive behaviours, adaptive functioning symptoms anxiety...
Characterizing the subtle changes of functional brain networks associated with pathological cascade Alzheimer's disease (AD) is important for early diagnosis and prediction progression prior to clinical symptoms. We developed a new deep learning method, termed multiple graph Gaussian embedding model (MG2G), which can learn highly informative network features by mapping high-dimensional resting-state into low-dimensional latent space. These distribution-based embeddings enable quantitative...
Sociocommunicative difficulties, including abnormalities in eye contact, are core diagnostic features of autism spectrum disorder (ASD). Many studies have used tracking to measure reduced attention faces autistic people; however, most this work has not taken advantage eye-tracking temporal resolution examine profiles attention. We growth curve analysis model static social scenes as a function time large (N = 650) sample participants and neurotypical across wide age range (6–30 years). The...
Abstract Zero-phase-delay synchrony between the activity of distant neural populations has been robustly observed. Nevertheless, contemporary electroencephalography and magnetencephalography functional connectivity analyses typically exclude zero-phase-delay connections, assuming that they are predominantly artefactual. However, effects excluding them on performance metrics as potential biomarkers unknown. Here, we showed most cortico-cortical connections occur with zero- or near-zero...
Autism has been associated with differences in functional brain network organization. However, the exact nature of these across development compared to non-autistic individuals and their relationship autism-related social cognition, remains unclear. This study first aimed identify EEG resting-state characteristics autistic versus children, adolescents, adults. Second, we investigated associations cognition measures. Analyzing data from EU-AIMS Longitudinal European Project, metrics (global...