A5014830769- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Autism Spectrum Disorder Research
- Neuroendocrine regulation and behavior
- Health, Environment, Cognitive Aging
- Neural dynamics and brain function
- Genetics and Neurodevelopmental Disorders
- Advanced MRI Techniques and Applications
- Genetic Associations and Epidemiology
- Evolutionary Psychology and Human Behavior
- Mental Health Research Topics
- Stress Responses and Cortisol
- Attention Deficit Hyperactivity Disorder
- Dementia and Cognitive Impairment Research
- Congenital heart defects research
- Birth, Development, and Health
- Bioinformatics and Genomic Networks
- Neonatal and fetal brain pathology
- Genomic variations and chromosomal abnormalities
- Long-Term Effects of COVID-19
- Tryptophan and brain disorders
- Alzheimer's disease research and treatments
- Hemispheric Asymmetry in Neuroscience
- Neural and Behavioral Psychology Studies
- Obsessive-Compulsive Spectrum Disorders
University of Cambridge
2016-2025
University Foundation
2024
Turun Yliopistosäätiö
2024
Finnish Medical Foundation
2024
Sigrid Jusélius Foundation
2024
Institute of Clinical Research
2024
Addenbrooke's Hospital
2024
University of Turku
2024
Lifespan
2023
Chart Industries (United States)
2023
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of human brain. However, no reference standards currently exist to quantify individual differences metrics over time, contrast growth charts for anthropometric traits such as height weight
While the role of cortical microstructure in organising neural function is well established, it remains unclear how structural constraints can give rise to more flexible elements cognition. nonhuman primate research has demonstrated a close structure–function correspondence, relationship between and poorly understood humans, part because reliance on post mortem analyses, which cannot be directly related functional data. To overcome this barrier, we developed novel approach model similarity...
One paradox of autism is the co-occurrence deficits in sensory and higher-order socio-cognitive processing. Here, we examined whether these phenotypical patterns may relate to an overarching system-level imbalance-specifically a disruption macroscale hierarchy affecting integration segregation unimodal transmodal networks. Combining connectome gradient stepwise connectivity analysis based on task-free functional magnetic resonance imaging (fMRI), demonstrated atypical transitions between...
Abstract Neurodevelopmental disorders have a heritable component and are associated with region specific alterations in brain anatomy. However, it is unclear how genetic risks for neurodevelopmental translated into spatially patterned vulnerabilities. Here, we integrated cortical neuroimaging data from patients caused by genomic copy number variations (CNVs) gene expression healthy subjects. For each of the six investigated disorders, show that spatial patterns anatomy changes youth...
Autism spectrum conditions (autism) affect ~1% of the population and are characterized by deficits in social communication. Oxytocin has been widely reported to social-communicative function its neural underpinnings. Here we report first evidence that intranasal oxytocin administration improves a core problem individuals with autism have using eye contact appropriately real-world settings. A randomized double-blind, placebo-controlled, within-subjects design is used examine how 24 IU affects...
Ageing is commonly associated with changes to segregation and integration of functional brain networks, but, in isolation, current network-based approaches struggle elucidate across the many axes organisation. However, advent gradient mapping techniques neuroimaging provides a new means studying organisation multi-dimensional connectivity space. Here, we studied ageing behaviourally-relevant differences three-dimensional space using Cambridge Centre for Neuroscience cohort (n = 643)....
Differences in cortical morphology—in particular, volume, thickness and surface area—have been reported individuals with autism. However, it is unclear what aspects of genetic transcriptomic variation are associated these differences. Here we investigate the correlates global differences (ΔCT) children We used Partial Least Squares Regression (PLSR) on structural MRI data from 548 (166 autism, 295 neurotypical 87 ADHD) gene expression Allen Institute for Brain Science to identify ΔCT that...
We studied an accelerated longitudinal cohort of adolescents and young adults (n = 234, two time points) to investigate dynamic reconfigurations in myeloarchitecture. Intracortical profiles were generated using magnetization transfer (MT) data, a myelin-sensitive magnetic resonance imaging contrast. Mixed-effect models depth specific intracortical demonstrated separate processes i) overall increases MT, ii) flattening the MT profile related enhanced signal mid-to-deeper layers, especially...
Abstract Neuropsychiatric disorders are increasingly conceptualized as overlapping spectra sharing multi-level neurobiological alterations. However, whether transdiagnostic cortical alterations covary in a biologically meaningful way is currently unknown. Here, we studied co-alteration networks across six neurodevelopmental and psychiatric disorders, reflecting pathological structural covariance. In 12,024 patients 18,969 controls from the ENIGMA consortium, observed that patterns followed...
Abstract Higher educational attainment is observationally associated with lower risk of Alzheimer’s disease. However, the biological mechanisms underpinning this association remain unclear. The protective effect education on disease may be mediated via increased brain reserve. We used two-sample Mendelian randomization to explore putative causal relationships between attainment, structural reserve as proxied by MRI phenotypes and Summary statistics were obtained from genome-wide studies (n =...
Brain scans acquired across large, age-diverse cohorts have facilitated recent progress in establishing normative brain aging charts. Here, we ask the critical question of whether cross-sectional estimates age-related trajectories resemble those directly measured from longitudinal data. We show that changes inferred cross-sectionally mapped charts can substantially underestimate actual longitudinally. further find vary markedly between individuals and are difficult to predict with...
Abstract Structural similarity is a growing focus for magnetic resonance imaging (MRI) of connectomes. Here we propose Morphometric INverse Divergence (MIND), new method to estimate within-subject between cortical areas based on the divergence their multivariate distributions multiple MRI features. Compared prior approach morphometric networks (MSNs) n > 11,000 scans spanning three human datasets and one macaque dataset, MIND were more reliable, consistent with cytoarchitectonics symmetry...
Abstract Human brain organization involves the coordinated expression of thousands genes. For example, first principal component (C1) cortical transcription identifies a hierarchy from sensorimotor to association regions. In this study, optimized processing Allen Brain Atlas revealed two new components gene architecture, C2 and C3, which are distinctively enriched for neuronal, metabolic immune processes, specific cell types cytoarchitectonics, genetic variants associated with intelligence....
While autism and attention-deficit/hyperactivity disorder (ADHD) are considered distinct conditions from a diagnostic perspective, clinically they share some phenotypic features have high comorbidity. Regardless, most studies focused on only one condition, with considerable heterogeneity in their results. Taking dual-condition approach might help elucidate shared neural characteristics.Graph theory was used to analyse topological properties of structural covariance networks across both...
OPINION article Front. Behav. Neurosci., 17 February 2014Sec. Behavioral Endocrinology Volume 8 - 2014 | https://doi.org/10.3389/fnbeh.2014.00048
Abstract Oxytocin may influence various human behaviors and the connectivity across subcortical cortical networks. Previous oxytocin studies are male biased often constrained by task-based inferences. Here, we investigate impact of on resting-state between networks in women. We collected functional magnetic resonance imaging (fMRI) data 26 typically developing women 40 min following intranasal administration using a double-blind placebo-controlled crossover design. Independent components...
The vast net of fibres within and underneath the cortex is optimised to support convergence different levels brain organisation. Here, we propose a novel coordinate system human based on an advanced model its connectivity. Our approach inspired by seminal, but so far largely neglected models cortico-cortical wiring established postmortem anatomical studies capitalises cutting-edge in vivo neuroimaging machine learning. new expands currently prevailing diffusion magnetic resonance imaging...
Abstract The pathophysiology of autism has been suggested to involve a combination both macroscale connectome miswiring and microcircuit anomalies. Here, we combine connectome-wide manifold learning with biophysical simulation models understand associations between global network perturbations dysfunctions in autism. We studied neuroimaging phenotypic data 47 individuals 37 typically developing controls obtained from the Autism Brain Imaging Data Exchange initiative. Our analysis establishes...
Understanding heterogeneity is an important goal on the path to precision medicine for autism spectrum disorders (ASD). We examined how cortical thickness (CT) in ASD can be parameterized as individualized metric of atypicality relative typically-developing (TD) age-related norms. Across a large sample (n = 870 per group) and wide age range (5-40 years), we applied normative modelling resulting whole-brain maps CT isolating small subgroup with highly age-atypical CT. Age-normed scores also...
Adolescence is a critical time for the continued maturation of brain networks. Here, we assessed structural connectome development in large longitudinal sample ranging from childhood to young adulthood. By projecting high-dimensional connectomes into compact manifold spaces, identified marked expansion connectomes, with strongest effects transmodal regions during adolescence. Findings reflected increased within-module connectivity together segregation, indicating increasing differentiation...