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Scientific data · 2026

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

СтатьяDatasetНазвание и аннотация: Перевод в очереди
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Shaw Thomas B, Al Najjar Aiman, Barth Markus, Bollmann Steffen, Bourgeat Pierrick, Chang Jeryn, Dempsey-Jones Harriet, Fazlollahi Amir, Fripp Jurgen, Garden Natalie, Guo Christine C, Henderson Robert D, Kuan Elaine, Lv Jinglei, McCombe Pamela A, Narayanan Aswin, Ngo Shyuan T, Nguyen Vinh, O'Brien Kieran, Robinson Gail, Robinson Simon, Salvado Olivier, Stewart Ashley, Steyn Frederik J, Bollmann Saskia

Аннотация

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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты