ArticleHuman brain mapping2020
A series of five population-specific Indian brain templates and atlases spanning ages 6-60 years.
Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
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- Creation of structural MRI brain templates for middle to late adulthood in the Thai population using single and multi-scanner data.Quantitative imaging in medicine and surgery · 2025Article
- Human development, inequality, and their associations with brain structure across 29 countries.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- Putative Mechanisms of Electroconvulsive Therapy in Treatment-Resistant Schizophrenia Examined Using Magnetic Resonance Imaging.Biological psychiatry global open science · 2025Article
- Construction of a Structurally Unbiased Brain Template with High Image Quality from MRI Scans of Saudi Adult Females.Bioengineering (Basel, Switzerland) · 2025Article
- Processing, evaluating, and understanding FMRI data with afni_proc.py.Imaging neuroscience (Cambridge, Mass.) · 2024Article
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- A Set of FMRI Quality Control Tools in AFNI: Systematic, in-depth and interactive QC with afni_proc.py and more.bioRxiv : the preprint server for biology · 2024Article
- Specific-CT brain template construction and retrospective dosimetric comparison study in brain for nasopharyngeal carcinoma patients treated with IMRT or VMAT.American journal of cancer research · 2024Article
- Opioid use disorder and role of yoga as an adjunct in management (OUDARYAM): Study protocol for a randomized controlled trial.Wellcome open research · 2024Article
- A detailed dosimetric comparative study of IMRT and VMAT in normal brain tissues for nasopharyngeal carcinoma patients treated with radiotherapy.Frontiers in radiology · 2023Article
- Editorial: Demonstrating quality control (QC) procedures in fMRI.Frontiers in neuroscience · 2023Article
- Abnormalities in the migration of neural precursor cells in familial bipolar disorder.Disease models & mechanisms · 2022Article
- A diffeomorphic aging model for adult human brain from cross-sectional data.Scientific reports · 2022Article
- Anatomically curated segmentation of human subcortical structures in high resolution magnetic resonance imaging: An open science approach.Frontiers in neuroanatomy · 2022Article
- Chinese Color Nest Project : An accelerated longitudinal brain-mind cohort.Developmental cognitive neuroscience · 2021Review
- Non-parametric MRI Brain Atlas for the Polish Population.Frontiers in neuroinformatics · 2021Article
- A series of five population-specific Indian brain templates and atlases spanning ages 6-60 years.Human brain mapping · 2020Article
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Authors and funding
22 authors at 9 institutions in 4 countries.
Funding
Abstract
Anatomical brain templates are commonly used as references in neurological MRI studies, for bringing data into a common space for group-level statistics and coordinate reporting. Given the inherent variability in brain morphology across age and geography, it is important to have templates that are as representative as possible for both age and population. A representative-template increases the accuracy of alignment, decreases distortions as well as potential biases in final coordinate reports. In this study, we developed and validated a new set of T1w Indian brain templates (IBT) from a large number of brain scans (total n = 466) acquired across different locations and multiple 3T MRI scanners in India. A new tool in AFNI, make_template_dask.py, was created to efficiently make five age-specific IBTs (ages 6-60 years) as well as maximum probability map (MPM) atlases for each template; for each age-group's template-atlas pair, there is both a "population-average" and a "typical" version. Validation experiments on an independent Indian structural and functional-MRI dataset show the appropriateness of IBTs for spatial normalization of Indian brains. The results indicate significant structural differences when comparing the IBTs and MNI template, with these differences being maximal along the Anterior-Posterior and Inferior-Superior axes, but minimal Left-Right. For each age-group, the MPM brain atlases provide reasonably good representation of the native-space volumes in the IBT space, except in a few regions with high intersubject variability. These findings provide evidence to support the use of age and population-specific templates in human brain mapping studies.
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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.