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<p>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&#xa0;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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月19日

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

摘要

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.