Multimodal ultra-high-field MRI, clinical, cognitive, and genetic profiles across the ALS–FTD spectrum

This dataset was acquired and curated to explore the spectrum of Motor Neuron Disease (MND) and Fronto-Temporal Dementia (FTD) with Ultra-High Field Magnetic Resonance Imaging (7 Tesla) and compare these to non-neurodegenerative disease controls (known colloquially as “The 7 T hEalthy Ageing study [7TEA]”). Twenty people living with neurodegenerative disease and 14 non-neurodegenerative controls underwent a comprehensive multimodal MRI protocol including structural, diffusion, quantitative MRI, resting state, and task fMRI, alongside cognitive testing and genetic screening. This dataset combines detailed imaging phenotypes with extensive clinical characterisations. It facilitates investigations into the spectrum of MND and FTD, has provided a basis for developing novel quantitative biomarkers, and supports the exploration of interactions between imaging features and clinical progression. The availability of this dataset supports various research avenues, from detailed hippocampal subfield analyses, network connectivity assessments, and multimodal genetic, cognitive, and imaging studies. The dataset is published on OpenNeuro (dataset ds007036) and is curated in the Brain Imaging Data Structure (BIDS) standard.

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Publication Details

Journal
Scientific Data
Published
2026-05-19
DOI
https://doi.org/10.1038/s41597-026-07461-3
Primary Topic
Amyotrophic Lateral Sclerosis Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Multimodal ultra-high-field MRI, clinical, cognitive, and genetic profiles across the ALS–FTD spectrum

Scientific Data
Amyotrophic Lateral Sclerosis Research
article

Multimodal ultra-high-field MRI, clinical, cognitive, and genetic profiles across the ALS–FTD spectrum

article en

Abstract

This dataset was acquired and curated to explore the spectrum of Motor Neuron Disease (MND) and Fronto-Temporal Dementia (FTD) with Ultra-High Field Magnetic Resonance Imaging (7 Tesla) and compare these to non-neurodegenerative disease controls (known colloquially as “The 7 T hEalthy Ageing study [7TEA]”). Twenty people living with neurodegenerative disease and 14 non-neurodegenerative controls underwent a comprehensive multimodal MRI protocol including structural, diffusion, quantitative MRI, resting state, and task fMRI, alongside cognitive testing and genetic screening. This dataset combines detailed imaging phenotypes with extensive clinical characterisations. It facilitates investigations into the spectrum of MND and FTD, has provided a basis for developing novel quantitative biomarkers, and supports the exploration of interactions between imaging features and clinical progression. The availability of this dataset supports various research avenues, from detailed hippocampal subfield analyses, network connectivity assessments, and multimodal genetic, cognitive, and imaging studies. The dataset is published on OpenNeuro (dataset ds007036) and is curated in the Brain Imaging Data Structure (BIDS) standard.

Scientific Data
The University of Sydney (AU), Queensland University of Technology (AU), The University of Queensland (AU), QIMR Berghofer Medical Research Institute (AU), Royal Brisbane and Women's Hospital (AU), Christian Doppler Laboratory for Thermoelectricity (AT), Australian e-Health Research Centre (AU), CSIRO Health and Biosecurity (AU), Siemens (Australia) (AU), Medical University of Vienna (AT), University of West Florida (US)
FightMND, Motor Neurone Disease Research Australia, Commonwealth Scientific and Industrial Research Organisation, University of Sydney, Austrian Science Fund, Australian Research Council, National Health and Medical Research Council
Openalex Percentile: Top 5%
Amyotrophic Lateral Sclerosis Research
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