Author

Ian B. Malone

UCL Queen Square Institute of NeurologyORCID 0000-0001-7512-7856Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Alzheimer’s Disease Neuroimaging Initiative· 2 shared Adam DiaziD· 1 shared Adeyinka O Ajayi· 1 shared Adrienne Kormos· 1 shared Alexander KnaackiD· 1 shared Andrea Fidell· 1 shared Andrew J. SaykiniD· 1 shared Arthur W. TogaiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Alzheimer’s Disease Neuroimaging Initiative

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2 papers

Recent·Most cited

NeuroscienceCommunications MedicinePeer-reviewedDec 5, 2025

Network-based amyloid-beta pathology predicts subsequent cognitive decline in cognitively normal older adults

Hengda He, Qolamreza Ray Razlighi, Yunglin Gazes…·Evan Fletcher

This study uses machine learning to show that integrating brain connectome data with amyloid-beta PET imaging improves prediction of cognitive decline in older adults.

3 citations

humanimaging

𝕏 PostBluesky

NeuroscienceNeuroImagePeer-reviewedNov 28, 2021

Not all voxels are created equal: reducing estimation bias in regional NODDI metrics using tissue-weighted means

Christopher S Parker, Thomas D. Veale, Martina Bocchetta…·Alzheimer’s Disease Neuroimaging Initiative

This paper introduces a tissue-weighted mean method to reduce bias in NODDI metrics by accounting for CSF partial volume, showing it improves accuracy in ROI analysis for neurodegenerative disease studies.

44 citations

humanimaging

𝕏 PostBluesky