A5044072183- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Fetal and Pediatric Neurological Disorders
- Mental Health Research Topics
- Dementia and Cognitive Impairment Research
- Neonatal and fetal brain pathology
- Advanced Graph Neural Networks
- Complex Network Analysis Techniques
- Face Recognition and Perception
- Transcranial Magnetic Stimulation Studies
- Neurological disorders and treatments
- Multiple Sclerosis Research Studies
- Photoreceptor and optogenetics research
- Cerebral Palsy and Movement Disorders
- Neural and Behavioral Psychology Studies
- Opinion Dynamics and Social Influence
- Cerebrovascular and Carotid Artery Diseases
- Attention Deficit Hyperactivity Disorder
- Alzheimer's disease research and treatments
- Bipolar Disorder and Treatment
- Acute Ischemic Stroke Management
- Spinal Dysraphism and Malformations
École Polytechnique Fédérale de Lausanne
2015-2024
University of Geneva
2015-2024
Meyer Children's Hospital
2024
Centre d'Imagerie BioMedicale
2021-2024
University of Florence
2024
Wyss Center for Bio and Neuroengineering
2017-2022
Bioengineering Center
2020
École Polytechnique
2020
University Hospital of Geneva
2020
Don Carlo Gnocchi Foundation
2011-2014
The brain is an assembly of neuronal populations interconnected by structural pathways. Brain activity expressed on and constrained this substrate. Therefore, statistical dependencies between functional signals in directly connected areas can be expected higher. However, the degree to which function bound underlying wiring diagram remains a complex question that has been only partially answered. Here, we introduce structural-decoupling index quantify coupling strength structure function,...
Patterns of human brain activity emerge from temporally limited fMRI observations, allowing identification individuals.
Brain signatures of functional activity have shown promising results in both decoding brain states, meaning distinguishing between different tasks, and fingerprinting, that is identifying individuals within a large group. Importantly, these do not account for the underlying anatomy on which function takes place. Structure-function coupling based graph signal processing (GSP) has recently revealed meaningful spatial gradient from unimodal to transmodal regions, average healthy subjects during...
Abstract Alterations in activity and connectivity of brain circuits implicated emotion processing regulation have been observed during resting-state for different clinical phases bipolar disorders (BD), but longitudinal investigations across mood states the same patients are still rare. Furthermore, measuring dynamics functional patterns offers a powerful method to explore changes brain’s intrinsic organization states. We used novel co-activation pattern (CAP) analysis amygdala at rest...
Attaining an accurate diagnosis in the acute phase for severely brain-damaged patients presenting Disorders of Consciousness (DOC) is crucial prognostic validity; such a determines further medical management, terms therapeutic choices and end-of-life decisions. However, DOC evaluation based on validated scales, as Revised Coma Recovery Scale (CRS-R), can lead to underestimation consciousness frequent misdiagnoses particularly cases cognitive motor dissociation due other aetiologies. The...
Resting-state functional MRI (rs-fMRI) opens a window on large-scale organization of brain function. However, establishing relationships between resting-state activity and cognitive or clinical scores is still difficult task, in particular terms prediction as would be meaningful for applications such early diagnosis Alzheimer's disease. In this work, we employed partial least square regression under cross-validation scheme to predict episodic memory performance from connectivity (FC)...
Tractography based on Diffusion Tensor Imaging (DTI) represents a valuable tool for investigating brain white matter (WM) microstructure, allowing the computation of damage-related diffusion parameters such as Fractional Anisotropy (FA) in specific WM tracts. This technique appears relevant study pathologies which disconnection plays major role, as, instance, Alzheimer's Disease (AD). Previous DTI studies have reported inconsistent results defining abnormalities AD and its prodromal stage...
Background. The growing social emergency represented by Alzheimer’s disease (AD) and the lack of medical treatments able to modify course have kindled interest in nonpharmacological therapies. Objective. We introduced a novel approach for people with AD (PWA) named Multidimensional Stimulation group Therapy (MST) improve PWA condition different domains: cognition, behavior, motor functioning. Methods. Enrolling 60 mild moderate stage disease, we evaluated efficacy MST randomized-controlled...
The incidence of Alzheimer's disease (AD) strongly relates to advanced age and progressive deposition cerebral amyloid-beta (Aβ), hyperphosphorylated tau, iron. purpose this study was investigate the relationship between dynamic functional connectivity variability long-term cognitive performance in healthy, elderly subjects, allowing for local pathology genetic risk.Thirty seven participants (mean (SD) 74 (6.0) years, Mini-Mental State Examination 29.0 (1.2)) were dichotomized based on...
To provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative 123I-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis.123I-FP-CIT was performed at a single-center level 370 individuals with PS, including 280 patients Parkinson's disease (PD), 21 multiple system atrophy-parkinsonian type (MSA-P), 41 progressive supranuclear palsy (PSP) 28 corticobasal syndrome (CBS) (mean age 70.3 years, 47% female, mean duration scan...
Abstract Dynamic functional connectivity (dFC) derived from resting-state magnetic resonance imaging sheds light onto moment-to-moment reconfigurations of large-scale brain networks. Due to computational limits, is typically computed using pre-defined atlases, a non-trivial choice that might influence results. Here, we leverage new methods retrieve dFC at the voxel level in terms dominant patterns fluctuations, and demonstrate this representation informative derive meaningful parcellations,...
Borderline intellectual functioning (BIF) is a condition characterized by an intelligence quotient (IQ) between 70 and 85. BIF children present with cognitive, motor, social adaptive limitations that result in learning disabilities are more likely to develop psychiatric disorders later life. Aim of this study was investigate brain morphometry its relation IQ level borderline children. Thirteen 14 age- sex-matched typically developing were enrolled. All underwent full assessment (WISC-III...
Effects of beta-amyloid accumulation on neuronal function precede the clinical manifestation Alzheimer's disease (AD) by years and affect distinct cognitive brain networks. As previous studies suggest a link between dysregulation excitatory inhibitory neurotransmitters, we aimed to investigate impact GABA glutamate related functional connectivity. 29 cognitively unimpaired old-aged adults (age = 70.03 ± 5.77 years) were administered 11C-Pittsburgh Compound B (PiB) positron-emission...
Abstract Our brain adeptly navigates goals across time frames, distinguishing between urgent needs and those of the past or future. The hippocampus is a region known for supporting mental travel organizing information along its longitudinal axis, transitioning from detailed posterior representations to generalized anterior ones. This study investigates role in over time: whether encodes regardless detail abstraction, preferentially activates temporally distant (past future) immediate goals....
Neuroinflammation and brain functional disconnection result from β-amyloid (Aβ) accumulation play fundamental roles in the pathogenesis of Alzheimer's disease (AD). We investigated possible correlations between these two AD-associated phenomena using DTI-based tractography immunologic analyses people with amnestic mild cognitive impairment (aMCI) AD. DTI-Analyses focused on corpus callosum (CC). found that frontal CC regions were preserved respect to posterior ones aMCI; individuals...
Purpose To assess the contribution of a generative adversarial network (GAN) to improve intermanufacturer reproducibility radiomic features (RFs). Materials and Methods The authors retrospectively developed cycle-GAN translate texture information from chest radiographs acquired using one manufacturer (Siemens) another (Philips), producing fake with different textures. prospectively evaluated ability this texture-translation reduce variability RFs extracted lung parenchyma. This study...
Moving from association to causal analysis of neuroimaging data is crucial advance our understanding brain function. The arrow-of-time (AoT), that is, the known asymmetric nature passage time, bedrock structures shaping physical phenomena. However, almost all current time series metrics do not exploit this asymmetry, probably due difficulty account for it in modeling frameworks. Here, we introduce an AoT-sensitive metric captures intensity effects multivariate series, and apply...
Guiding diffusion tract-based anatomy by functional magnetic resonance imaging (fMRI), we aim to investigate the relationship between structural connectivity and activity in human brain. To this purpose, introduced a novel groupwise fMRI-guided tractographic approach, that was applied on population ranging prodromic moderate stages of Alzheimer's disease (AD). The study comprised 15 subjects affected amnestic mild cognitive impairment (aMCI), 14 diagnosed with AD elderly healthy adults who...
Recent findings highlighted the non-stationarity of brain functional connectivity (FC) during resting-state magnetic resonance imaging (fMRI), encouraging development methods allowing to explore network dynamics. This appears particularly relevant when dealing with diseases involving dynamic neuronal processes, like epilepsy. In this study, we introduce a new method pinpoint changes related epileptic activity by integrating EEG and FC information. To our knowledge, no previous work has...