ArticlePLoS computational biology2017
Mindboggling morphometry of human brains.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 397 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
397 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
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- A Randomized, Sham-Controlled Trial of Cranial Electrical Stimulation for Fibromyalgia Pain and Physical Function, Using Brain Imaging Biomarkers.Journal of visualized experiments : JoVE · 2024Trial
- Temporal Interference Modulates Medial Temporal and Frontoparietal Activity During Mnemonic Discrimination: A High-Resolution Whole-Brain fMRI Investigation.Hippocampus · 2026Article
- The role of social norms, empathy, and religiosity in assisted dying decisions: an fMRI study.Cognitive, affective & behavioral neuroscience · 2026Article
- Medial temporal default mode network selectively encodes autobiographical visual imagery.Science advances · 2026Article
- Concordance between the fast and efficient mixed-effects algorithm (FEMA) and conventional mixed-effects modeling for whole-brain connectivity in longitudinal chronic pain.bioRxiv : the preprint server for biology · 2026Article
- The orbitofrontal-anterior temporal network complements the attention network for where to look in social situations.eNeuro · 2026Article
- Directional Brain Connectivity Changes Induced by Heart Rate Variability Biofeedback: A Spectral Dynamic Causal Modeling Study.Research square · 2026Article
- What is common to memory retrieval and relational reasoning? Testing neural overlap in anterior lateral prefrontal cortex.bioRxiv : the preprint server for biology · 2026Article
- Rapid changes in risk attitudes originate from Bayesian inference on parietal magnitude representations.Nature communications · 2026Article
- Hippocampal mechanisms underlying the resolution of competition in memory and perception.Nature communications · 2026Article
- A framework for comparative analysis of human and mouse cortical neuron dendrites in corresponding brain regions.Nature neuroscience · 2026Article
- Visual Responsivity in Autism: Measuring Visual Responses in Autistic and Non-Autistic Adults Using Psychophysics, fMRI, and EEG.Autism research : official journal of the International Society for Autism Research · 2026Article
- Network-level functional connectivity is associated with longitudinal tau accumulation and amyloid-dependent cognitive decline in preclinical Alzheimer's disease.Research square · 2026Article
- A cortical gradient in area 55b links language and somato-cognitive action networks.Research square · 2026Article
- Latent representations of early brain development: A multivariate normative model of brain structure and behaviour.Developmental cognitive neuroscience · 2026Article
- Article
- A longitudinal resource for mapping interindividual variation in the aging connectome.Scientific data · 2026Article
337 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Mindboggle (http://mindboggle.info) is an open source brain morphometry platform that takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data containing label, feature, and shape information for further analysis. In this article, we document the software and demonstrate its use in studies of shape variation in healthy and diseased humans. The number of different shape measures and the size of the populations make this the largest and most detailed shape analysis of human brains ever conducted. Brain image morphometry shows great potential for providing much-needed biological markers for diagnosing, tracking, and predicting progression of mental health disorders. Very few software algorithms provide more than measures of volume and cortical thickness, while more subtle shape measures may provide more sensitive and specific biomarkers. Mindboggle computes a variety of (primarily surface-based) shapes: area, volume, thickness, curvature, depth, Laplace-Beltrami spectra, Zernike moments, etc. We evaluate Mindboggle's algorithms using the largest set of manually labeled, publicly available brain images in the world and compare them against state-of-the-art algorithms where they exist. All data, code, and results of these evaluations are publicly available.
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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.