NTAD: A longitudinal neuroimaging dataset of Alzheimer's disease pathology

We introduce the New Therapeutics in Alzheimer's Disease (NTAD) dataset, a multi-modal and longitudinal imaging dataset from 70 biomarker-positive people with early dementia or Mild Cognitive Impairment (MCI) due to Alzheimer's Disease (AD), assessed over 2.5 years, and 35 healthy controls assessed at baseline. The data include simultaneous magneto- and electro-encephalography (M/EEG), 3-Tesla structural and functional magnetic resonance imaging (MRI), Amyloid-beta; positron emission tomography (PET), fluid proteomic biomarkers in cerebrospinal fluid and blood, and a battery of clinical and neuropsychological assessments. 11C UCB-J PET was undertaken for a subset of participants. For people with AD, assessments were repeated at approximately three weeks, 15 months, and 28 months after baseline. The data can be accessed through the Dementias Platform UK (DPUK), including pre-processed M/EEG and T1 MRI in pseudonymised BIDS format. With the pressing need to develop treatments for slowing, reversing, and preventing AD, these data provide an opportunity for identifying and validating novel biomarkers of Alzheimer's disease neurophysiology, as well as understanding its treatable pathology.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-11-03
DOI
https://doi.org/10.64898/2026.10.30.763020
Primary Topic
Dementia and Cognitive Impairment Research
Type
preprint
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preprint

NTAD: A longitudinal neuroimaging dataset of Alzheimer's disease pathology

Juliette H. Lanskey, James Benedict Rowe, Vanessa Raymont, Richard N. Henson et al.
bioRxiv (Cold Spring Harbor Laboratory)
Dementia and Cognitive Impairment Research
preprint

NTAD: A longitudinal neuroimaging dataset of Alzheimer's disease pathology

Juliette H. Lanskey, James Benedict Rowe, Vanessa Raymont, Richard N. Henson, Alexandra Krugliak, Mats W.J. van Es, Tony Thayanandan, Marlou Nadine Perquin, Andrew J. Quinn, Haddy K. S. Fye, Anna Christina Nobre, Michelle Naessens, Ece Kocagöncü, Jemma Pitt, Mark W. Woolrich, Krish D. Singh, Stephen Loucian Lowe, Cara Alcock, Melek Karadag, the NTAD study group
preprint en

Abstract

We introduce the New Therapeutics in Alzheimer's Disease (NTAD) dataset, a multi-modal and longitudinal imaging dataset from 70 biomarker-positive people with early dementia or Mild Cognitive Impairment (MCI) due to Alzheimer's Disease (AD), assessed over 2.5 years, and 35 healthy controls assessed at baseline. The data include simultaneous magneto- and electro-encephalography (M/EEG), 3-Tesla structural and functional magnetic resonance imaging (MRI), Amyloid-beta; positron emission tomography (PET), fluid proteomic biomarkers in cerebrospinal fluid and blood, and a battery of clinical and neuropsychological assessments. 11C UCB-J PET was undertaken for a subset of participants. For people with AD, assessments were repeated at approximately three weeks, 15 months, and 28 months after baseline. The data can be accessed through the Dementias Platform UK (DPUK), including pre-processed M/EEG and T1 MRI in pseudonymised BIDS format. With the pressing need to develop treatments for slowing, reversing, and preventing AD, these data provide an opportunity for identifying and validating novel biomarkers of Alzheimer's disease neurophysiology, as well as understanding its treatable pathology.

bioRxiv (Cold Spring Harbor Laboratory)
Eli Lilly (United States) (US), University of Cambridge (GB), University College Birmingham (GB), Yale University (US), University of Oxford (GB), Bridge University (SS), Cardiff University (GB), University of Birmingham (GB)
Dementia and Cognitive Impairment Research
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