ArticlePsychiatry research. Neuroimaging2018
A longitudinal human phantom reliability study of multi-center T1-weighted, DTI, and resting state fMRI data.
Article in Psychiatry research. Neuroimaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Robust Longitudinal Dementia Prediction under Systemic Missingness via Hierarchical Fusion and Test-Time Adaptation.medRxiv : the preprint server for health sciences · 2026Article
- Harmonization in magnetic resonance imaging: A survey of acquisition, image-level, and feature-level methods.Medical image analysis · 2026Review
- Leveraging Longitudinal Data to Improve BrainChart Calibration for Small Study Sample Sizes.Human brain mapping · 2026Article
- Easy-to-use and easy-to-interpret quality control of 3D gradient echo T1-weighted MR acquisition sequences for improved test-retest stability of MRI-based hippocampus volumetry.Journal of Alzheimer's disease : JAD · 2025Article
- Task-based functional neural correlates of social cognition across autism and schizophrenia spectrum disorders.Molecular autism · 2024Article
- DeepResBat: deep residual batch harmonization accounting for covariate distribution differences.bioRxiv : the preprint server for biology · 2024Article
- Functional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2024Article
- Profiling intra- and inter-individual differences in brain development across early adolescence.NeuroImage · 2023Article
- A longitudinal multi-scanner multimodal human neuroimaging dataset.Scientific data · 2022Article
- Multiscale neural signatures of major depressive, anxiety, and stress-related disorders.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Lifespan Volume Trajectories From Non-harmonized T1-Weighted MRI Do Not Differ After Site Correction Based on Traveling Human Phantoms.Frontiers in neurology · 2022Article
- Insight Into the Effects of Clinical Repetitive Transcranial Magnetic Stimulation on the Brain From Positron Emission Tomography and Magnetic Resonance Imaging Studies: A Narrative Review.Frontiers in neuroscience · 2022Review
- Social Cognitive Networks and Social Cognitive Performance Across Individuals With Schizophrenia Spectrum Disorders and Healthy Control Participants.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2021Article
- Scanner invariant representations for diffusion MRI harmonization.Magnetic resonance in medicine · 2020Article
- Structural brain networks in remitted psychotic depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Article
- Greater Individual Variability in Functional Brain Activity during Working Memory Performance in young people with Autism and Executive Function Impairment.NeuroImage. Clinical · 2020Article
- Resting-State Connectivity Biomarkers of Cognitive Performance and Social Function in Individuals With Schizophrenia Spectrum Disorder and Healthy Control Subjects.Biological psychiatry · 2018Article
- Resting state functional connectivity in patients with remitted psychotic depression: A multi-centre STOP-PD study.EBioMedicine · 2018Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Multi-center MRI studies can enhance power, generalizability, and discovery for clinical neuroimaging research in brain disorders. Here, we sought to establish the utility of a clustering algorithm as an alternative to more traditional intra-class correlation coefficient approaches in a longitudinal multi-center human phantom study. We completed annual reliability scans on 'travelling human phantoms'. Acquisitions across sites were harmonized prospectively. Twenty-seven MRI sessions were available across four participants, scanned on five scanners, across three years. For each scan, three metrics were extracted: cortical thickness (CT), white matter fractional anisotropy (FA), and resting state functional connectivity (FC). For each metric, hierarchical clustering (Ward's method) was performed. The cluster solutions were compared to participant and scanner using the adjusted Rand index (ARI). For all metrics, data clustered by participant rather than by scanner (ARI > 0.8 comparing clusters to participants, ARI < 0.2 comparing clusters to scanners). These results demonstrate that hierarchical clustering can reliably identify structural and functional scans from different participants imaged on different scanners across time. With increasing interest in data-driven approaches in psychiatric and neurologic brain imaging studies, our findings provide a framework for multi-center analytic approaches aiming to identify subgroups of participants based on brain structure or function.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.