Brain charts for the human lifespan

Nature, Год журнала: 2022, Номер 604(7906), С. 525 - 533

Опубликована: Апрель 6, 2022

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

Язык: Английский

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Big data approaches to decomposing heterogeneity across the autism spectrum

Molecular Psychiatry, Год журнала: 2019, Номер 24(10), С. 1435 - 1450

Опубликована: Янв. 7, 2019

Autism is a diagnostic label based on behavior. While the criteria attempt to maximize clinical consensus, it also masks wide degree of heterogeneity between and within individuals at multiple levels analysis. Understanding this multi-level high translational importance. Here we present organizing principles frame research examining in autism. Theoretical concepts such as 'spectrum' or 'autisms' reflect non-mutually exclusive explanations regarding continuous/dimensional categorical/qualitative variation individuals. However, common practices small sample size studies case-control models are suboptimal for tackling heterogeneity. Big data an important ingredient furthering our understanding In addition being 'feature-rich', big should be both 'broad' (i.e., large size) 'deep' collected same individuals). These characteristics increase likelihood that study results more generalizable facilitate evaluation utility different A model's can measured by its ability explain clinically mechanistically phenomena, explaining how variability manifests across The directionality bottom-up top-down, include importance development characterizing changes progress made with 'supervised' built upon priori theoretically predicted distinctions dimensions importance, will become increasingly complement work unsupervised data-driven discoveries leverage unknown multivariate data. better model autistic people towards precision medicine symptoms cause suffering, person-centered support.

Язык: Английский

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Sex differences in the developing brain: insights from multimodal neuroimaging

Neuropsychopharmacology, Год журнала: 2018, Номер 44(1), С. 71 - 85

Опубликована: Июнь 6, 2018

Язык: Английский

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An Open Resource for Non-human Primate Imaging

Neuron, Год журнала: 2018, Номер 100(1), С. 61 - 74.e2

Опубликована: Сен. 27, 2018

Non-human primate neuroimaging is a rapidly growing area of research that promises to transform and scale translational cross-species comparative neuroscience. Unfortunately, the technological methodological advances past two decades have outpaced accrual data, which particularly challenging given relatively few centers necessary facilities capabilities. The PRIMatE Data Exchange (PRIME-DE) addresses this challenge by aggregating independently acquired non-human magnetic resonance imaging (MRI) datasets openly sharing them via International Neuroimaging Data-sharing Initiative (INDI). Here, we present rationale, design, procedures for PRIME-DE consortium, as well initial release, consisting 25 independent data collections aggregated across 22 sites (total = 217 primates). We also outline unique pitfalls challenges should be considered in analysis MRI datasets, including providing automated quality assessment contributed datasets.

Язык: Английский

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Somatosensory-Motor Dysconnectivity Spans Multiple Transdiagnostic Dimensions of Psychopathology

Biological Psychiatry, Год журнала: 2019, Номер 86(10), С. 779 - 791

Опубликована: Июнь 25, 2019

BackgroundThere is considerable interest in a dimensional transdiagnostic approach to psychiatry. Most studies have derived factors based only on clinical symptoms, which might miss possible links between psychopathology, cognitive processes, and personality traits. Furthermore, many psychiatric focus higher-order association brain networks, thereby neglecting the potential influence of huge swaths brain.MethodsA multivariate data-driven (partial least squares) was used identify latent components linking large set clinical, cognitive, measures whole-brain resting-state functional connectivity patterns across 224 participants. The participants were either healthy (n = 110) or diagnosed with bipolar disorder 40), attention-deficit/hyperactivity 37), schizophrenia 29), schizoaffective 8). In contrast traditional case-control analyses, diagnostic categories not partial squares analysis but helpful for interpreting components.ResultsOur analyses revealed three corresponding general dysfunction, impulsivity. Each component associated unique signature shared all robust multiple control replicated using independent task magnetic resonance imaging data from same Strikingly, featured alterations within somatosensory-motor network its subcortical structures cortical executive networks.ConclusionsWe identified distinct dimensions dissociable (but overlapping) signatures individuals illness, providing intermediate phenotypes that span categories. Our results suggest expanding neuroscience beyond networks.

Язык: Английский

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Movies in the magnet: Naturalistic paradigms in developmental functional neuroimaging

Developmental Cognitive Neuroscience, Год журнала: 2018, Номер 36, С. 100600 - 100600

Опубликована: Ноя. 20, 2018

The use of movie-watching as an acquisition state for functional connectivity (FC) MRI has recently enabled multiple groups to obtain rich data sets in younger children with both substantial sample sizes and scan durations. Using naturalistic paradigms such movies also provided analytic flexibility these developmental studies that extends beyond conventional resting approaches. This review highlights the advantages challenges using neuroimaging explores some methodological issues involved designing pediatric movies. Emerging themes from are discussed, including emphasis on intersubject correlations, changes network interactions under complex conditions, dynamic age-related sensory higher-order FC even narrow age ranges. Converging evidence suggests enhanced ability identify brain-behavior correlations when relative tasks. Future directions cautionary notes highlight potential limitations study populations.

Язык: Английский

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Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging

NeuroImage, Год журнала: 2020, Номер 215, С. 116828 - 116828

Опубликована: Апрель 7, 2020

Two ongoing movements in human cognitive neuroscience have researchers shifting focus from group-level inferences to characterizing single subjects, and complementing tightly controlled tasks with rich, dynamic paradigms such as movies stories. Yet relatively little work combines these two, perhaps because traditional analysis approaches for naturalistic imaging data are geared toward detecting shared responses rather than between-subject variability. Here, we review recent using stimuli study individual differences, advance a framework structure idiosyncratic patterns of brain activity, or "idiosynchrony". Specifically, outline the emerging technique inter-subject representational similarity (IS-RSA), including its theoretical motivation an empirical demonstration how it recovers brain-behavior relationships during movie watching Human Connectome Project. We also consider stimulus choice may affect signal discuss areas future research. argue that neuroimaging potential reveal meaningful differences above beyond those observed at rest.

Язык: Английский

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The Coronavirus Health and Impact Survey (CRISIS) reveals reproducible correlates of pandemic-related mood states across the Atlantic

Scientific Reports, Год журнала: 2021, Номер 11(1)

Опубликована: Апрель 14, 2021

The COVID-19 pandemic and its social economic consequences have had adverse impacts on physical mental health worldwide exposed all segments of the population to protracted uncertainty daily disruptions. CoRonavIruS Impact Survey (CRISIS) was developed for use as an easy implement robust questionnaire covering key domains relevant distress resilience during pandemic. Ongoing studies using CRISIS include international COVID-related ill conducted different phases follow-up cohorts characterized before COVID In current work, we demonstrate feasibility, psychometric structure, construct validity this survey. We then show that pre-existing mood states, perceived risk, lifestyle changes are strongly associated with negative states in samples adults parents reporting their children US UK. These findings highly reproducible find a high degree consistency power these factors predict

Язык: Английский

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Automagic: Standardized preprocessing of big EEG data

NeuroImage, Год журнала: 2019, Номер 200, С. 460 - 473

Опубликована: Июнь 21, 2019

Язык: Английский

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Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review

NeuroImage, Год журнала: 2022, Номер 249, С. 118870 - 118870

Опубликована: Янв. 1, 2022

Diffusion magnetic resonance imaging (dMRI) tractography is an advanced technique that enables in vivo reconstruction of the brain's white matter connections at macro scale. It provides important tool for quantitative mapping structural connectivity using measures or tissue microstructure. Over last two decades, study brain dMRI has played a prominent role neuroimaging research landscape. In this paper, we provide high-level overview how used to enable analysis health and disease. We focus on types analyses tractography, including: 1) tract-specific refers typically hypothesis-driven studies particular anatomical fiber tracts, 2) connectome-based more data-driven generally entire brain. first review methodology involved three main processing steps are common across most approaches including methods correction, segmentation quantification. For each step, aim describe methodological choices, their popularity, potential pros cons. then have matter, focusing applications neurodevelopment, aging, neurological disorders, mental neurosurgery. conclude that, while there been considerable advancements technologies breadth applications, nevertheless remains no consensus about "best" researchers should remain cautious when interpreting results clinical applications.

Язык: Английский

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