Development of a 24-Channel 3T Phased-Array Coil for fMRI in Awake Monkeys - Mitigating Spatiotemporal Artifacts in Ferumoxytol-Weighted Functional Connectivity Estimation DOI Creative Commons
Joonas A. Autio, Atsushi Yoshida,

Yoshihiko Kawabata

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Апрель 20, 2025

Abstract Functional magnetic resonance imaging (fMRI) of awake macaque monkeys holds promise for advancing our understanding primate brain organization, including humans. However, estimating functional connectivity in animals is challenging due to the limited duration sessions and relatively low sensitivity neural activity. To overcome these challenges, we developed a 24-channel 3T receive radiofrequency (RF) coil optimized parallel macaques. This enabled acquisition multiband GRAPPA-accelerated ferumoxytol-weighted resting-state fMRI. The Human Connectome Project-style data processing pipelines were adapted address unique preprocessing demands cerebral blood volume-weighted (CBVw) imaging, motion correction, functional-to-structural image co-registration, training multi-run independent component analysis-based X-noiseifier (ICA-FIX) classifier removal structured artifacts. Our CBVw fMRI approach resulted an elevated contrast-to-noise ratio compared oxygenation level dependent (BOLD) anesthetized artifacts still contributed more variance timeseries than By applying ICA-FIX classifier, achieved highly reproducible parcellated at single-subject level. At group-level, identified dense networks with spatial features homologous those observed RF coil, protocols, analysis are publicly available, providing broader scientific community tools leverage advances further research.

Язык: Английский

The Human Connectome Project: A retrospective DOI Creative Commons

Jennifer Stine Elam,

Matthew F. Glasser,

Michael P. Harms

и другие.

NeuroImage, Год журнала: 2021, Номер 244, С. 118543 - 118543

Опубликована: Сен. 8, 2021

The Human Connectome Project (HCP) was launched in 2010 as an ambitious effort to accelerate advances human neuroimaging, particularly for measures of brain connectivity; apply these study a large number healthy young adults; and freely share the data tools with scientific community. NIH awarded grants two consortia; this retrospective focuses on "WU-Minn-Ox" HCP consortium centered at Washington University, University Minnesota, Oxford. In just over 6 years, WU-Minn-Ox succeeded its core objectives by: 1) improving MR scanner hardware, pulse sequence design, image reconstruction methods, 2) acquiring analyzing multimodal MRI MEG unprecedented quality together behavioral from more than 1100 participants, 3) sharing (via ConnectomeDB database) associated analysis visualization tools. To date, 27 Petabytes have been shared, 1538 papers acknowledging use published. "HCP-style" neuroimaging paradigm has emerged set best-practice strategies optimizing acquisition analysis. This article reviews history HCP, including comments key events decisions major project components. We discuss several using data, improved cortical parcellations, analyses connectivity based functional diffusion MRI, brain-behavior relationships. also touch upon our efforts develop variety processing along detailed documentation, tutorials, educational course train next generation neuroimagers. conclude look forward opportunities challenges facing field perspective consortium.

Язык: Английский

Процитировано

201

Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior DOI
Ru Kong, Qing Yang, Evan M. Gordon

и другие.

Cerebral Cortex, Год журнала: 2021, Номер 31(10), С. 4477 - 4500

Опубликована: Март 31, 2021

Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of individual-specific cortical parcellations. We have previously developed a multi-session hierarchical Bayesian model (MS-HBM) for estimating high-quality network-level Here, we extend the to estimate areal-level While parcellations comprise spatially distributed networks spanning cortex, consensus is that parcels should be localized, is, not span multiple lobes. There disagreement about whether strictly contiguous or noncontiguous components; therefore, considered three MS-HBM variants these range possibilities. Individual-specific estimated using 10 min data generalized better than other approaches 150 out-of-sample rs-fMRI and task-fMRI from same individuals. connectivity derived also achieved best behavioral prediction performance. Among variants, exhibited resting-state homogeneity most uniform within-parcel task activation. In terms prediction, gradient-infused was numerically best, but differences among were statistically significant. Overall, results suggest MS-HBMs can capture behaviorally meaningful parcellation features beyond group-level Multi-resolution trained models are publicly available (https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/brain_parcellation/Kong2022_ArealMSHBM).

Язык: Английский

Процитировано

182

Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex DOI Creative Commons
Sofie L. Valk, Ting Xu, Casey Paquola

и другие.

Nature Communications, Год журнала: 2022, Номер 13(1)

Опубликована: Май 9, 2022

Abstract Brain structure scaffolds intrinsic function, supporting cognition and ultimately behavioral flexibility. However, it remains unclear how a static, genetically controlled architecture supports flexible behavior. Here, we synthesize genetic, phylogenetic cognitive analyses to understand the macroscale organization of structure-function coupling across cortex can inform its role in cognition. In humans, was highest regions unimodal lowest transmodal cortex, pattern that mirrored by reduced alignment with heritable connectivity profiles. Structure-function uncoupling macaques had similar spatial distribution, but observed an increased between function association cortices relative humans. Meta-analysis suggested least genetic control (low correspondence different primates) are linked social-cognition autobiographical memory. Our findings suggest evolutionary systems may support emergence complex forms

Язык: Английский

Процитировано

99

Controversies and progress on standardization of large-scale brain network nomenclature DOI Creative Commons
Lucina Q. Uddin, Richard F. Betzel, Jessica R. Cohen

и другие.

Network Neuroscience, Год журнала: 2023, Номер 7(3), С. 864 - 905

Опубликована: Янв. 1, 2023

Progress in scientific disciplines is accompanied by standardization of terminology. Network neuroscience, at the level macroscale organization brain, beginning to confront challenges associated with developing a taxonomy its fundamental explanatory constructs. The Workgroup for HArmonized Taxonomy NETworks (WHATNET) was formed 2020 as an Organization Human Brain Mapping (OHBM)-endorsed best practices committee provide recommendations on points consensus, identify open questions, and highlight areas ongoing debate service moving field toward standardized reporting network neuroscience results. conducted survey catalog current large-scale brain nomenclature. A few well-known names (e.g., default mode network) dominated responses survey, number illuminating disagreement emerged. We summarize results initial considerations from workgroup. This perspective piece includes selective review this enterprise, including (1) scale, resolution, hierarchies; (2) interindividual variability networks; (3) dynamics nonstationarity (4) consideration affiliations subcortical structures; (5) multimodal information. close minimal guidelines cognitive communities adopt.

Язык: Английский

Процитировано

65

Gradients of neurotransmitter receptor expression in the macaque cortex DOI Creative Commons
Seán Froudist‐Walsh, Ting Xu, Meiqi Niu

и другие.

Nature Neuroscience, Год журнала: 2023, Номер 26(7), С. 1281 - 1294

Опубликована: Июнь 19, 2023

Abstract Dynamics and functions of neural circuits depend on interactions mediated by receptors. Therefore, a comprehensive map receptor organization across cortical regions is needed. In this study, we used in vitro autoradiography to measure the density 14 neurotransmitter types 109 areas macaque cortex. We integrated data with anatomical, genetic functional connectivity into common space. uncovered principal gradient expression per neuron. This aligns hierarchy from sensory cortex higher cognitive areas. A second gradient, driven serotonin 5-HT 1A receptors, peaks anterior cingulate, default mode salience networks. found similar pattern human brain. Thus, may be promising translational model serotonergic processing disorders. The gradients enable rapid, reliable information slow, flexible integration

Язык: Английский

Процитировано

59

Empirical transmit field bias correction of T1w/T2w myelin maps DOI Creative Commons

Matthew F. Glasser,

Timothy S. Coalson, Michael P. Harms

и другие.

NeuroImage, Год журнала: 2022, Номер 258, С. 119360 - 119360

Опубликована: Июнь 10, 2022

T1-weighted divided by T2-weighted (T1w/T2w) myelin maps were initially developed for neuroanatomical analyses such as identifying cortical areas, but they are increasingly used in statistical comparisons across individuals and groups with other variables of interest. Existing T1w/T2w contain radiofrequency transmit field (B1+) biases, which may be correlated these interest, leading to potentially spurious results. Here we propose two empirical methods correcting biases using either explicit measures the or alternatively a 'pseudo-transmit' approach that is highly at 3T. We find resulting corrected both better (e.g., use cross-species comparisons), more appropriate relative differences sex, age, body-mass-index) within consistently acquired study recommend investigators who mapping B1+ going forward.

Язык: Английский

Процитировано

43

QuNex—An integrative platform for reproducible neuroimaging analytics DOI Creative Commons
Jie Lisa Ji, Jure Demšar, Clara Fonteneau

и другие.

Frontiers in Neuroinformatics, Год журнала: 2023, Номер 17

Опубликована: Апрель 5, 2023

Introduction Neuroimaging technology has experienced explosive growth and transformed the study of neural mechanisms across health disease. However, given diversity sophisticated tools for handling neuroimaging data, field faces challenges in method integration, particularly multiple modalities species. Specifically, researchers often have to rely on siloed approaches which limit reproducibility, with idiosyncratic data organization limited software interoperability. Methods To address these challenges, we developed Quantitative Environment & Toolbox (QuNex), a platform consistent end-to-end processing analytics. QuNex provides several novel functionalities analyses, including “turnkey” command reproducible deployment custom workflows, from onboarding raw generating analytic features. Results The enables interoperable integration multi-modal, community-developed through an extension framework development kit (SDK) seamless community tools. Critically, it supports high-throughput, parallel high-performance compute environments, either locally or cloud. Notably, successfully processed over 10,000 scans consortia, clinical datasets. Moreover, human non-human workflows via cohesive translational platform. Discussion Collectively, this effort stands significantly impact acquisition approaches, pipelines, datasets, computational Building will enable more rapid, scalable,

Язык: Английский

Процитировано

26

Vascularized human brain organoid on-chip DOI Creative Commons
Sin Yen Tan, Xiaohan Feng,

Lily K. Cheng

и другие.

Lab on a Chip, Год журнала: 2023, Номер 23(12), С. 2693 - 2709

Опубликована: Янв. 1, 2023

We review the existing in vitro human brain models and elaborate on various strategies that enable curation of a vascularized organoid using microfluidic devices.

Язык: Английский

Процитировано

23

Macaque Brainnetome Atlas: A multifaceted brain map with parcellation, connection, and histology DOI Creative Commons
Yuheng Lu, Yue Cui, Long Cao

и другие.

Science Bulletin, Год журнала: 2024, Номер 69(14), С. 2241 - 2259

Опубликована: Март 15, 2024

The rhesus macaque (Macaca mulatta) is a crucial experimental animal that shares many genetic, brain organizational, and behavioral characteristics with humans. A atlas fundamental to biomedical evolutionary research. However, even though connectivity vital for understanding functions, connectivity-based whole-brain of the has not previously been made. In this study, we created new map, brainnetome (MacBNA), based on anatomical profiles provided by high angular spatial resolution ex vivo diffusion MRI data. consists 248 cortical 56 subcortical regions as well their structural functional connections. parcellation diffusion-based tractography were evaluated invasive neuronal-tracing Nissl-stained images. As demonstrative application, divergence between human brains was mapped using Brainnetome atlases those two species uncover genetic underpinnings changes in structure. resulting resource includes: (1) thoroughly delineated (2) regional profiles, (3) postmortem high-resolution T2-weighted dataset (Brainnetome-8), (4) multi-contrast MRI, neuronal-tracing, histological images collected from single macaque. MacBNA can serve common reference frame mapping multifaceted features across modalities scales integrative investigation characterization organization function. Therefore, it will enrich collaborative platform nonhuman primates facilitate translational comparative neuroscience

Язык: Английский

Процитировано

10

Brain/MINDS beyond human brain MRI project: A protocol for multi-level harmonization across brain disorders throughout the lifespan DOI Creative Commons
Shinsuke Koike, Saori Tanaka, Tomohisa Okada

и другие.

NeuroImage Clinical, Год журнала: 2021, Номер 30, С. 102600 - 102600

Опубликована: Янв. 1, 2021

Psychiatric and neurological disorders are afflictions of the brain that can affect individuals throughout their lifespan. Many magnetic resonance imaging (MRI) studies have been conducted; however, imaging-based biomarkers not yet well established for diagnostic therapeutic use. This article describes an outline planned study, Brain/MINDS Beyond human MRI project (BMB-HBM, FY2018 ~ FY2023), which aims to establish clinically-relevant with multi-site harmonization by collecting data from healthy traveling subjects (TS) at 13 research sites. Collection in psychiatric across lifespan is also scheduled sites, whereas designing measurement procedures, developing analyzing neuroimaging protocols, databasing done three A high-quality scanning protocol, Harmonization Protocol (HARP), was five 3 T scanners obtain multimodal images including T1 T2-weighted, resting-state task functional diffusion-weighted MRI. Data preprocessed analyzed using approaches developed Human Connectome Project. Preliminary results 30 TS demonstrated cortical thickness, myelin, connectivity measures comparable 5 scanners, suggesting sensitivity subject-specific connectome. total 75 more than two thousand patients various participate project, allowing a mixed model statistical harmonization. The HARP protocols publicly available online, all imaging, demographic clinical information, harmonizing database will be made 2024. To best our knowledge, this first implement prospective, multi-level protocol data. It explores intractable may help identify disease-specific pathophysiology practice.

Язык: Английский

Процитировано

53