Reproducible brain-wide association studies require thousands of individuals

Nature, Год журнала: 2022, Номер 603(7902), С. 654 - 660

Опубликована: Март 16, 2022

Abstract Magnetic resonance imaging (MRI) has transformed our understanding of the human brain through well-replicated mapping abilities to specific structures (for example, lesion studies) and functions 1–3 task functional MRI (fMRI)). Mental health research care have yet realize similar advances from MRI. A primary challenge been replicating associations between inter-individual differences in structure or function complex cognitive mental phenotypes (brain-wide association studies (BWAS)). Such BWAS typically relied on sample sizes appropriate for classical 4 (the median neuroimaging study size is about 25), but potentially too small capturing reproducible brain–behavioural phenotype 5,6 . Here we used three largest datasets currently available—with a total around 50,000 individuals—to quantify effect reproducibility as size. were smaller than previously thought, resulting statistically underpowered studies, inflated replication failures at typical sizes. As grew into thousands, rates began improve inflation decreased. More robust effects detected (versus structural), tests questionnaires) multivariate methods univariate). Smaller expected brain–phenotype variability across population subsamples can explain widespread failures. In contrast non-BWAS approaches with larger lesions, interventions within-person), requires samples thousands individuals.

Язык: Английский

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A somato-cognitive action network alternates with effector regions in motor cortex

Nature, Год журнала: 2023, Номер 617(7960), С. 351 - 359

Опубликована: Апрель 19, 2023

Abstract Motor cortex (M1) has been thought to form a continuous somatotopic homunculus extending down the precentral gyrus from foot face representations 1,2 , despite evidence for concentric functional zones 3 and maps of complex actions 4 . Here, using precision magnetic resonance imaging (fMRI) methods, we find that classic is interrupted by regions with distinct connectivity, structure function, alternating effector-specific (foot, hand mouth) areas. These inter-effector exhibit decreased cortical thickness strong connectivity each other, as well cingulo-opercular network (CON), critical action 5 physiological control 6 arousal 7 errors 8 pain 9 This interdigitation control-linked motor effector was verified in three largest fMRI datasets. Macaque pediatric (newborn, infant child) suggested cross-species homologues developmental precursors system. A battery tasks documented somatotopies, separated CON-linked regions. The inter-effectors lacked movement specificity co-activated during planning (coordination hands feet) axial body (such abdomen or eyebrows). results, together previous studies demonstrating stimulation-evoked internal organs 10 such adrenal medulla, suggest M1 punctuated system whole-body planning, somato-cognitive (SCAN). In M1, two parallel systems intertwine, forming an integrate–isolate pattern: isolating fine SCAN integrating goals, physiology movement.

Язык: Английский

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The OpenNeuro resource for sharing of neuroscience data

eLife, Год журнала: 2021, Номер 10

Опубликована: Окт. 18, 2021

The sharing of research data is essential to ensure reproducibility and maximize the impact public investments in scientific research. Here, we describe OpenNeuro, a BRAIN Initiative archive that provides ability openly share from broad range brain imaging types following FAIR principles for sharing. We highlight importance Brain Imaging Data Structure standard enabling effective curation, sharing, reuse data. presently shares more than 600 datasets including 20,000 participants, comprising multiple species measurement modalities phenotypes. shared evident growing number published reuses, currently totalling 150 publications. conclude by describing plans future development integration with other ongoing open science efforts.

Язык: Английский

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Brain-behavior correlations: Two paths toward reliability

Neuron, Год журнала: 2022, Номер 110(9), С. 1446 - 1449

Опубликована: Май 1, 2022

Язык: Английский

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Inhibitory stabilization and cortical computation

Nature reviews. Neuroscience, Год журнала: 2020, Номер 22(1), С. 21 - 37

Опубликована: Ноя. 11, 2020

Язык: Английский

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How to establish robust brain–behavior relationships without thousands of individuals

Nature Neuroscience, Год журнала: 2022, Номер 25(7), С. 835 - 837

Опубликована: Июнь 16, 2022

Язык: Английский

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Rapid Precision Functional Mapping of Individuals Using Multi-Echo fMRI

Cell Reports, Год журнала: 2020, Номер 33(12), С. 108540 - 108540

Опубликована: Дек. 1, 2020

Resting-state functional magnetic resonance imaging (fMRI) is widely used in cognitive and clinical neuroscience, but long-duration scans are currently needed to reliably characterize individual differences connectivity (FC) brain network topology. In this report, we demonstrate that multi-echo fMRI can improve the reliability of FC-based measurements. four densely sampled humans, just 10 min data yielded better test-retest than 30 single-echo independent datasets. This effect pronounced clinically important regions, including subgenual cingulate, basal ganglia, cerebellum, linked three biophysical signal mechanisms (thermal noise, regional variability rate T2∗ decay, S0-dependent artifacts) with spatially distinct influences. Together, these findings establish potential utility for rapid precision mapping using experimentally tractable scan times will facilitate longitudinal neuroimaging populations.

Язык: Английский

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Neuroimaging in Functional Neurological Disorder: State of the Field and Research Agenda

NeuroImage Clinical, Год журнала: 2021, Номер 30, С. 102623 - 102623

Опубликована: Янв. 1, 2021

Functional neurological disorder (FND) was of great interest to early clinical neuroscience leaders. During the 20th century, neurology and psychiatry grew apart – leaving FND a borderland condition. Fortunately, renaissance has occurred in last two decades, fostered by increased recognition that is prevalent diagnosed using "rule-in" examination signs. The parallel use scientific tools bridge brain structure - function relationships helped refine an integrated biopsychosocial framework through which conceptualize FND. In particular, growing number quality neuroimaging studies variety methodologies have shed light on emerging pathophysiology This renewed with enhanced interdisciplinary collaborations, as illustrated new care models combining psychological physical therapies creation multidisciplinary society supporting knowledge dissemination field. Within this context, article summarizes output first International Neuroimaging Workgroup meeting, held virtually, June 17th, 2020 appraise state research field catalyze large-scale collaborations. We briefly summarize neural circuit FND, then detail approaches used date within core content areas: cohort characterization; control group considerations; task-based functional neuroimaging; resting-state networks; structural biomarkers symptom severity risk illness; predictors treatment response prognosis. Lastly, we outline neuroimaging-focused agenda elucidate aid development novel biologically psychologically-informed treatments.

Язык: Английский

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Intrinsic activity development unfolds along a sensorimotor–association cortical axis in youth

Nature Neuroscience, Год журнала: 2023, Номер 26(4), С. 638 - 649

Опубликована: Март 27, 2023

Язык: Английский

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Functional Connectivity Mapping for rTMS Target Selection in Depression

American Journal of Psychiatry, Год журнала: 2023, Номер 180(3), С. 230 - 240

Опубликована: Март 1, 2023

Objective: Repetitive transcranial magnetic stimulation (rTMS) protocols increasingly use subgenual anterior cingulate cortex (sgACC) functional connectivity to individualize treatment targets. However, the efficacy of this approach is unclear, with conflicting findings and varying effect sizes across studies. Here, authors investigated site’s sgACC (sgACC-StimFC) on outcome rTMS in 295 patients major depression. Methods: The reliability accuracy estimating were validated data from individuals who underwent extensive MRI testing. Electric field modeling was used analyze associations between sgACC-StimFC clinical improvement using standardized assessments evaluate sources heterogeneity. Results: An imputation-based method provided reliable accurate estimates. Treatment responses weakly but robustly correlated (r=−0.16), only when stimulated identified electric modeling. Surprisingly, association driven by strong global signal fluctuations stemming a specific periodic respiratory pattern (r=−0.49). Conclusions: Functional individual differences outcomes, weaker than those observed previous studies accentuated subgroup distinct, respiration-related patterns their scans. These indicate that large representative sample depressive disorder, explained ∼3% variance which may limit utility existing sgACC-based targeting protocols. these also provide evidence for true—albeit small—effect highlight opportunities incorporating additional measures generate models response enhanced predictive power.

Язык: Английский

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