Petra E. Vértes

ORCID: 0000-0002-0992-3210
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About
Contact & Profiles
Research Areas
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Advanced Neuroimaging Techniques and Applications
  • Mental Health Research Topics
  • Bioinformatics and Genomic Networks
  • Advanced MRI Techniques and Applications
  • Genetics, Aging, and Longevity in Model Organisms
  • Tryptophan and brain disorders
  • Stress Responses and Cortisol
  • Health, Environment, Cognitive Aging
  • Schizophrenia research and treatment
  • Complex Network Analysis Techniques
  • Circadian rhythm and melatonin
  • Single-cell and spatial transcriptomics
  • Neuroendocrine regulation and behavior
  • Gene Regulatory Network Analysis
  • Genetic Associations and Epidemiology
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Advanced Memory and Neural Computing
  • Cell Image Analysis Techniques
  • Neural and Behavioral Psychology Studies
  • Birth, Development, and Health
  • Mental Health and Psychiatry
  • Mitochondrial Function and Pathology
  • Neuroscience and Music Perception

University of Cambridge
2016-2025

Addenbrooke's Hospital
2024

The Alan Turing Institute
2018-2023

Montreal Neurological Institute and Hospital
2023

McGill University
2023

Turing Institute
2019-2022

Neuroscience Institute
2011-2021

Queen Mary University of London
2018-2020

Brain Mapping Foundation
2016

Cambridgeshire and Peterborough NHS Foundation Trust
2014

Significance Adolescence is a period of human brain growth and high incidence mental health disorders. Here, we show consistently in two MRI cohorts that changes adolescence were concentrated on the more densely connected hubs connectome (i.e., association cortical regions mediated efficient connectivity throughout structural network). Hubs less myelinated at 14 y but had faster rates myelination shrinkage 14- to 24-y period. This topologically focused process consolidation was associated...

10.1073/pnas.1601745113 article EN Proceedings of the National Academy of Sciences 2016-07-25

There is growing interest in the complex topology of human brain functional networks, often measured using resting-state MRI (fMRI). Here, we used a meta-analysis large primary literature that fMRI or PET to measure task-related activation (>1,600 studies; 1985-2010). We estimated similarity (Jaccard index) patterns across experimental tasks between each pair 638 regions. This continuous coactivation matrix was build weighted graph characterize network topology. The modular, with occipital,...

10.1073/pnas.1220826110 article EN Proceedings of the National Academy of Sciences 2013-06-24

Functional connectivity analysis of resting state blood oxygen level–dependent (BOLD) functional MRI is widely used for noninvasively studying brain networks. Recent findings have indicated, however, that even small (≤1 mm) amounts head movement during scanning can disproportionately bias estimates, despite various preprocessing efforts. Further complications interregional estimation from time domain signals include the unaccounted reduction in BOLD degrees freedom related to sensitivity...

10.1073/pnas.1301725110 article EN Proceedings of the National Academy of Sciences 2013-09-13

The impact of in-scanner head movement on functional magnetic resonance imaging (fMRI) signals has long been established as undesirable. These effects have traditionally corrected by methods such linear regression parameters. However, a number recent independent studies demonstrated that these techniques are insufficient to remove motion confounds, and even small movements can spuriously bias estimates connectivity. Here we propose new data-driven, spatially-adaptive, wavelet-based method...

10.1016/j.neuroimage.2014.03.012 article EN cc-by-nc-nd NeuroImage 2014-03-23

Human brain functional networks are embedded in anatomical space and have topological properties—small-worldness, modularity, fat-tailed degree distributions—that comparable to many other complex networks. Although a sophisticated set of measures is available describe the topology networks, selection pressures that drive their formation remain largely unknown. Here we consider generative models for probability connection (an edge) between two cortical regions (nodes) separated by some...

10.1073/pnas.1111738109 article EN Proceedings of the National Academy of Sciences 2012-03-30

There is increasing interest in topological analysis of brain networks as complex systems, with researchers often using neuroimaging to represent the large-scale organization nervous systems without precise cellular resolution. Here we used graph theory investigate neuronal connectome nematode worm Caenorhabditis elegans , which defined anatomically at a scale 2287 synaptic connections between 279 neurons. We identified small number highly connected neurons rich club (N = 11) interconnected...

10.1523/jneurosci.3784-12.2013 article EN cc-by-nc-sa Journal of Neuroscience 2013-04-10

The human brain is a topologically complex network embedded in anatomical space. Here, we systematically explored relationships between functional connectivity, topology, and (Euclidean) distance connected regions, the resting-state magnetic resonance imaging networks of 20 healthy volunteers 19 patients with childhood-onset schizophrenia (COS). Normal between-subject differences average edges graphs were strongly associated variation topological properties networks. In addition, club or...

10.1093/cercor/bhr388 article EN Cerebral Cortex 2012-01-23

The human connectome represents a network map of the brain's wiring diagram and pattern into which its connections are organized is thought to play an important role in cognitive function. generative rules that shape topology remain incompletely understood. Earlier work model organisms has suggested based on geometric relationships (distance) can account for many but likely not all topological features. Here we systematically explore family models yield synthetic networks designed according...

10.1016/j.neuroimage.2015.09.041 article EN cc-by NeuroImage 2015-10-02

Human brain networks have topological properties in common with many other complex systems, prompting the following question: what aspects of network organization are critical for distinctive functional brain, such as consciousness? To address this question, we used graph theoretical methods to explore topology resting state MRI data acquired from 17 patients severely impaired consciousness and 20 healthy volunteers. We found that global were conserved comatose patients. Specifically, there...

10.1073/pnas.1208933109 article EN Proceedings of the National Academy of Sciences 2012-11-26

Schizophrenia has been conceived as a disorder of brain connectivity, but it is unclear how this network phenotype related to the underlying genetics. We used morphometric similarity analysis MRI data marker interareal cortical connectivity in three prior case-control studies psychosis: total, n = 185 cases and 227 controls. Psychosis was associated with globally reduced all studies. There also replicable pattern differences regional similarity, which significantly patients frontal temporal...

10.1073/pnas.1820754116 article EN cc-by Proceedings of the National Academy of Sciences 2019-04-19

Motivated by prior data on local cortical shrinkage and intracortical myelination, we predicted age-related changes in topological organization of structural networks during adolescence. We estimated correlation from magnetic resonance imaging measures thickness at 308 regions a sample N = 297 healthy participants, aged 14-24 years. used novel sliding-window analysis to measure network attributes globally, locally the context several community partitions network. found that strength...

10.1093/cercor/bhx249 article EN cc-by Cerebral Cortex 2017-09-11

Connectomics has focused primarily on the mapping of synaptic links in brain; yet it is well established that extrasynaptic volume transmission, especially via monoamines and neuropeptides, also critical to brain function. Here we present a draft monoamine connectome, along with partial neuropeptide for nematode C. elegans, based new published expression data biosynthetic genes receptors. Thus, neuronal connectome can be represented as multiplex network, synaptic, gap junction,...

10.1371/journal.pcbi.1005283 article EN cc-by PLoS Computational Biology 2016-12-16

A recent hypothesis has suggested that core deficits in goal-directed behavior obsessive-compulsive disorder (OCD) are caused by impaired frontostriatal function. We tested this OCD patients and control subjects relating measures of planning cognitive flexibility to underlying resting-state functional connectivity.Multiecho acquisition, combined with micromovement correction blood oxygen level-dependent sensitive independent component analysis, was used obtain vivo connectivity 44 43 healthy...

10.1016/j.biopsych.2016.08.009 article EN cc-by Biological Psychiatry 2016-08-12

Human functional magnetic resonance imaging (fMRI) brain networks have a complex topology comprising integrative components, e.g. long-distance inter-modular edges, that are theoretically associated with higher biological cost. Here, we estimated intra-modular degree, degree and connection distance for each of 285 cortical nodes in multi-echo fMRI data from 38 healthy adults. We used the multivariate technique partial least squares (PLS) to reduce dimensionality relationships between these...

10.1098/rstb.2015.0362 article EN cc-by Philosophical Transactions of the Royal Society B Biological Sciences 2016-08-31

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...

10.1038/s41467-020-17051-5 article EN cc-by Nature Communications 2020-07-03

Complex network topology is characteristic of many biological systems, including anatomical and functional brain networks (connectomes). Here, we first constructed a structural covariance from MRI measures cortical thickness on 296 healthy volunteers, aged 14-24 years. Next, designed new algorithm for matching sample locations the Allen Brain Atlas to nodes SCN. Subsequently used this define, transcriptomic by estimating gene co-expression between pairs regions. Finally, explored hypothesis...

10.1016/j.neuroimage.2017.12.060 article EN cc-by NeuroImage 2017-12-21
Renzo Mancuso Gemma L. Fryatt Madeleine Cleal Juliane Obst Elena Pipi and 95 more Jimena Monzón‐Sandoval Elena M. Ribé Laura Winchester Caleb Webber Alejo Nevado‐Holgado Tom Jacobs Nigel Austin Clara Theunis Karolien Grauwen Eva Ruiz Amritpal Mudher Marta Vicente‐Rodríguez Christine A. Parker Camilla Simmons Diana Cash Jill Richardson Edward T. Bullmore Junaid Bhatti Samuel J Chamberlain Marta Correia Anna Crofts Amber Dickinson Andrew C Foster Manfred G. Kitzbichler Clare Knight Mary-Ellen Lynall Christina Maurice Ciara O’Donnell Linda Pointon Peter St George‐Hyslop Lorinda Turner Petra E. Vértes Barry Widmer Guy Williams B. Paul Morgan Claire A. Leckey Angharad R. Morgan Caroline O’Hagan Samuel Touchard Jonathan Cavanagh Catherine Deith Scott Farmer John McClean Alison McColl Andrew McPherson Paul Scouller Murray Sutherland H.W.G.M. Boddeke Jill Richardson Shahid A. Khan Phil Murphy Christine A. Parker Jai Patel Declan N.C. Jones Peter de Boer John A. Kemp Wayne C. Drevets Jeffrey S. Nye Gayle Wittenberg John Isaac Anindya Bhattacharya Nick Carruthers Hartmuth C. Kolb Carmine M. Pariante Federico Turkheimer Gareth J. Barker Heidi Byrom Diana Cash Annamaria Cattaneo Antony D. Gee Caitlin Hastings Nicole Mariani Anna McLaughlin Valeria Mondelli Maria Antonietta Nettis Naghmeh Nikkheslat Karen Randall Hannah Sheridan Camilla Simmons Nisha Singh Victoria Van Loo Marta Vicente‐Rodríguez Tobias C. Wood Courtney Worrell Zuzanna Zajkowska Niels Plath Jan Egebjerg Hans Eriksson François Gastambide Karen Husted Adams Ross Jeggo Christian Thomsen Jan Pederson Brian Campbell T. Möller

Neuroinflammation and microglial activation are significant processes in Alzheimer's disease pathology. Recent genome-wide association studies have highlighted multiple immune-related genes with disease, experimental data demonstrated proliferation as a component of the neuropathology. In this study, we tested efficacy selective CSF1R inhibitor JNJ-40346527 (JNJ-527) P301S mouse tauopathy model. We first anti-proliferative effects JNJ-527 on microglia ME7 prion model, its impact inflammatory...

10.1093/brain/awz241 article EN cc-by Brain 2019-07-24

BackgroundPeripheral inflammation is often associated with major depressive disorder (MDD), and immunological biomarkers of depression remain a focus investigation.MethodsWe used microarray data on whole blood from two independent case-control studies MDD: the GlaxoSmithKline–High-Throughput Disease-specific target Identification Program [GSK-HiTDiP] study (113 patients 57 healthy control subjects) Janssen–Brain Resource Company (94 100 subjects). Genome-wide differential gene expression...

10.1016/j.biopsych.2017.01.021 article EN cc-by Biological Psychiatry 2017-07-06

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...

10.7554/elife.50482 article EN cc-by eLife 2019-11-14

Efforts are ongoing to map synaptic wiring diagrams, or connectomes, understand the neural basis of brain function. However, chemical synapses represent only one type functionally important neuronal connection; in particular, extrasynaptic, "wireless" signaling by neuropeptides is widespread and plays essential roles all nervous systems. By integrating single-cell anatomical gene-expression datasets with biochemical analysis receptor-ligand interactions, we have generated a draft connectome...

10.1016/j.neuron.2023.09.043 article EN cc-by Neuron 2023-11-01

Neuropeptides and peptide hormones are ancient, widespread signaling molecules that underpin almost all brain functions. They constitute a broad ligand-receptor network, mainly by binding to G protein-coupled receptors (GPCRs). However, the organization of peptidergic network roles many peptides remain elusive, as our insight into peptide-receptor interactions is limited GPCRs still orphan receptors. Here we report genome-wide peptide-GPCR interaction map in Caenorhabditis elegans. By...

10.1016/j.celrep.2023.113058 article EN cc-by-nc-nd Cell Reports 2023-08-31
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