ArticleScientific data2022
Multi sequence average templates for aging and neurodegenerative disease populations.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Mapping the research landscape of Mild Cognitive Impairment in Parkinson's disease: a bibliometric and visualization analysis.Frontiers in aging neuroscience · 2025Pooled it
- High definition transcranial direct current stimulation as an intervention for cognitive deficits in Alzheimer's dementia: A randomized controlled trial.The journal of prevention of Alzheimer's disease · 2025Trial
- Case report of Parkinson's disease in isolated congenital anosmia with absent olfactory bulbs.NPJ Parkinson's disease · 2026Article
- NeuroFM: Toward Precision Neuroimaging with Foundation Models for Individualized Brain Health Estimation.medRxiv : the preprint server for health sciences · 2026Article
- A phenome-wide hunt for risk factors of Alzheimer's disease: from metabolic clues to neuroimaging evidence.Journal of translational medicine · 2026Article
- Quantifying brain atrophy in Frontotemporal Dementia: a head-to-head comparison of neuroimaging techniques.medRxiv : the preprint server for health sciences · 2025Article
- Age- and Sex-Specific Cerebral Blood Flow Atlases for Healthy Brain Across the Lifespan.Scientific data · 2025Article
- Quantitative simulation of near-infrared light treatment for Alzheimer's disease using patient-individualized optical-parametric phantoms.Neurophotonics · 2025Article
- Comparison of different group-level templates in gradient-based multimodal connectivity analysis.Network neuroscience (Cambridge, Mass.) · 2024Article
- Investigating the impact of motion in the scanner on brain age predictions.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- MEBRAINS 1.0: A new population-based macaque atlas.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Template MRI scans reliably approximate individual and group-level tES and TMS electric fields induced in motor and prefrontal circuits.Frontiers in neural circuits · 2023Article
- Multi sequence average templates for aging and neurodegenerative disease populations.Scientific data · 2022Article
- Using transfer learning for automated microbleed segmentation.Frontiers in neuroimaging · 2022Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Magnetic resonance image (MRI) processing pipelines use average templates to enable standardization of individual MRIs in a common space. MNI-ICBM152 is currently used as the standard template by most MRI processing tools. However, MNI-ICBM152 represents an average of 152 healthy young adult brains and is vastly different from brains of patients with neurodegenerative diseases. In those populations, extensive atrophy might cause inevitable registration errors when using an average template of young healthy individuals for standardization. Disease-specific templates that represent the anatomical characteristics of the populations can reduce such errors and improve downstream driven estimates. We present multi-sequence average templates for Alzheimer's Dementia (AD), Fronto-temporal Dementia (FTD), Lewy Body Dementia (LBD), Mild Cognitive Impairment (MCI), cognitively intact and impaired Parkinson's Disease patients (PD-CIE and PD-CI, respectively), individuals with Subjective Cognitive Impairment (SCI), AD with vascular contribution (V-AD), Vascular Mild Cognitive Impairment (V-MCI), Cognitively Intact Elderly (CIE) individuals, and a human phantom. We also provide separate templates for males and females to allow better representation of the diseases in each sex group.
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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.