A5075224963- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Mental Health Research Topics
- Bioinformatics and Genomic Networks
- Pain Mechanisms and Treatments
- Tryptophan and brain disorders
- Heart Rate Variability and Autonomic Control
- Neuroendocrine regulation and behavior
- Neuroscience of respiration and sleep
- Medical Imaging Techniques and Applications
- Psychedelics and Drug Studies
- Neurotransmitter Receptor Influence on Behavior
- Multiple Sclerosis Research Studies
- Traumatic Brain Injury and Neurovascular Disturbances
- Stress Responses and Cortisol
- Topological and Geometric Data Analysis
- Metabolomics and Mass Spectrometry Studies
- Neuroscience and Neuropharmacology Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological disorders and treatments
- Single-cell and spatial transcriptomics
- Treatment of Major Depression
King's College London
2016-2025
Wellcome Centre for Human Neuroimaging
2019-2025
Olea Medical (France)
2023-2025
Don Carlo Gnocchi Foundation
2015-2019
Politecnico di Milano
2014-2017
Brighton and Sussex Medical School
2015-2017
Fondazione Santa Lucia
2016
Artifact removal in resting state fMRI (rfMRI) data remains a serious challenge, with even subtle head motion undermining reliability and reproducibility. Here we compared some of the most popular single-echo de-noising methods—regression Motion parameters, White matter Cerebrospinal fluid signals (MWC method), FMRIB's ICA-based X-noiseifier (FIX) Automatic Removal Of Artifacts (ICA-AROMA)—with multi-echo approach (ME-ICA) that exploits linear dependency BOLD on echo time. Data were acquired...
Abstract Molecular neuroimaging techniques, like PET and SPECT, offer invaluable insights into the brain’s in-vivo biology its dysfunction in neuropsychiatric patients. However, transition of molecular diagnostics precision medicine has been limited to a few clinical applications, hindered by issues practical feasibility, high costs, between-subject heterogeneity measures. In this study, we explore use normative modelling (NM) identify individual patient alterations describing physiological...
We assessed here functional connectivity changes in the locus coeruleus (LC) and ventral tegmental area (VTA) of patients with Alzheimer's disease (AD). recruited 169 either AD or amnestic mild cognitive impairment due to 37 elderly controls who underwent neuropsychiatric assessments resting-state magnetic resonance imaging at 3T. Connectivity was between LC VTA rest brain. In patients, disconnection predominant parietal regions, while it involved posterior nodes default-mode network. also...
There are bi-directional interactions between the autonomic nervous system (ANS) and pain. This is likely underpinned by a substantial overlap brain areas of central network involved in pain processing modulation. To date, however, relatively little known about neuronal substrates ANS-pain association. Here, we acquired resting state fMRI scans 21 healthy subjects at rest during tonic noxious cold stimulation. As indicators function, examined how heart rate variability (HRV) frequency...
One of the main limitations pharmacological fMRI is its inability to provide a molecular insight into effect compounds, leaving an open question about relationship between drug effects and haemodynamic response. The aim this study investigate acute 3,4-methylenedioxymethamphetamine (MDMA) on functional connectivity (FC) using novel multimodal method (Receptor-Enriched Analysis Connectivity by Targets - REACT). This approach enriches resting state (rs-)fMRI analysis with information...
The integration of transcriptomic and neuroimaging data, "imaging transcriptomics," has recently emerged to generate hypotheses about potential biological pathways underlying regional variability in features. However, the validity this approach is yet be examined depth. Here, we sought bridge gap by performing decoding distribution well-known molecular markers spanning different elements biology healthy human brain. Imaging transcriptomics identifies cell that are consistent with known a...
Abstract Rationale LSD is the prototypical psychedelic. Despite a clear central role of 5HT 2a receptor in its mechanism action, contributions additional receptors for which it shows affinity and agonist activity remain unclear. Objectives We employed receptor-enriched analysis functional connectivity by targets (REACT) to explore differences (FC) associated with distributions primary LSD—the 1a , 1b D1 D2 receptors. Methods performed secondary analyses an openly available dataset ( N = 15)...
Interferon-alpha (IFN-α) is a key mediator of antiviral immune responses used to treat Hepatitis C infection. Though clinically effective, IFN-α rapidly impairs mood, motivation and cognition, effects that can appear indistinguishable from major depression provide powerful empirical support for the inflammation theory depression. has been shown modulate activity within discrete brain regions, how it affects distributed information processing architecture whole functional connectivity...
High dimensional independent component analysis (ICA), compared to low ICA, allows performing a detailed parcellation of the resting state networks. The purpose this study was give further insight into functional connectivity (FC) in Alzheimer's disease (AD) using high ICA. For reason, we performed both and ICA analyses fMRI (rfMRI) data 20 healthy controls 21 AD patients, focusing on primarily altered default mode network (DMN) exploring sensory motor (SMN). As expected, results obtained at...
Abstract The analysis of structural and functional neuroimaging data using graph theory has increasingly become a popular approach for visualising understanding anatomical relationships between different cerebral areas. In this work we applied network-based brain PET studies population-based covariance matrices, with the aim to explore topological tracer kinetic differences in cross-sectional investigations. Simulations, test-retest applications datasets from three tracers ([ 18 F]FDG, [...
Artifact removal from resting state fMRI data is an essential step for a better identification of the networks and evaluation their functional connectivity (FC), especially in pathological conditions. There growing interest development cleaning procedures, those not requiring external recordings (data-driven), which are able to remove multiple sources artifacts. It important that only inter-subject variability due artifacts removed, preserving between-subject interest-crucial clinical...
Abstract Fatigue is a highly prevalent and debilitating symptom in multiple sclerosis, but currently the available treatment options have limited efficacy. The development of innovative efficacious targeted treatments for fatigue sclerosis has been marred by knowledge underlying mechanisms. One hypotheses postulates that pathology might cause reduced monoaminergic release central nervous system with consequences on motivation, mood attention. Here, we applied recently developed...
Intranasal oxytocin is attracting attention as a potential treatment for several brain disorders due to promising preclinical results. However, translating findings humans has been hampered by remaining uncertainties about its pharmacodynamics and the methods used probe effects in human brain. Using dose-response design (9, 18 36 IU), we demonstrate that intranasal oxytocin-induced changes local regional cerebral blood flow (rCBF) amygdala at rest, covariance between rCBF other key hubs of...
The disconnection hypothesis of schizophrenia proposes that symptoms the disorder arise as a result aberrant functional integration between segregated areas brain. concept metastability characterizes coexistence competing tendencies for and segregation in brain, is therefore well suited study schizophrenia. In this study, we investigate candidate neuromechanistic biomarker pathology, including demonstration reliability face validity. Group-level discrimination, individual-level...
Neuropharmacological changes in visual snow syndrome (VSS) are poorly understood. We aimed to use receptor target maps combined with resting functional magnetic resonance imaging (fMRI) data identify which neurotransmitters might modulate brain circuits involved VSS.We used Receptor-Enriched Analysis of Functional Connectivity by Targets (REACT) estimate and compare the molecular-enriched networks related 5 neurotransmitter systems patients VSS (n = 24), healthy controls (HCs; n migraine...
Understanding how gene expression translates to and affects human behavior is one of the ultimate goals neuroscience. In this paper, we present a pipeline based on Mapper, topological simplification tool, analyze co-expression data. We first validate method by reproducing key results from literature Allen Human Brain Atlas correlations between resting-state fMRI maps. then dopamine-related set find that networks produced Mapper return structure matches well-known anatomy dopaminergic...
In this study we evaluate the performance of a fully automated analytical framework for FDOPA PET neuroimaging data, and its sensitivity to demographic experimental variables processing parameters. An instance XNAT imaging platform was used store King’s College London institutional brain archive, alongside individual demographics clinical information. By re-engineering historical Matlab-based scripts analysis, analysis pipeline data quantification implemented in Python integrated XNAT. The...
Abstract Advanced methods such as REACT have allowed the integration of fMRI with brain’s receptor landscape, providing novel insights transcending multiscale organisation brain. Similarly, normative modelling has translational neuroscience to move beyond group-average differences and characterise deviations from health at an individual level. Here, we bring these together for first time. We used create functional networks enriched main modulatory, inhibitory, excitatory neurotransmitter...