Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank

doi:10.1038/s43856-023-00313-w

Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank

Research output: Contribution to journal › Article › peer-review

2 Citations (SciVal)

Abstract

Spotting people with dementia early is challenging, but important to identify people for trials of treatment and prevention. We used brain scans of people with Alzheimer’s disease, the commonest type of dementia, and applied an artificial intelligence method to spot people with Alzheimer’s disease. We used this to find people in the Healthy UK Biobank study who might have early Alzheimer’s disease. The people we found had subtle changes in their memory and thinking to suggest they may have early disease, and we also found they had high blood pressure and smoked for longer. We have demonstrated an approach that could be used to select people at high risk of future dementia for clinical trials.

Original language	English
Article number	100
Journal	Communications Medicine
Volume	3
Issue number	1
DOIs	https://doi.org/10.1038/s43856-023-00313-w
State	Published - Dec 2023

Bibliographical note

Publisher Copyright:
© The Author(s) 2023.

ASJC Scopus subject areas

Public Health, Environmental and Occupational Health
Assessment and Diagnosis
Internal Medicine
Epidemiology
Medicine (miscellaneous)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1038/s43856-023-00313-w

Cite this

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title = "Identifying healthy individuals with Alzheimer{\textquoteright}s disease neuroimaging phenotypes in the UK Biobank",

abstract = "Spotting people with dementia early is challenging, but important to identify people for trials of treatment and prevention. We used brain scans of people with Alzheimer{\textquoteright}s disease, the commonest type of dementia, and applied an artificial intelligence method to spot people with Alzheimer{\textquoteright}s disease. We used this to find people in the Healthy UK Biobank study who might have early Alzheimer{\textquoteright}s disease. The people we found had subtle changes in their memory and thinking to suggest they may have early disease, and we also found they had high blood pressure and smoked for longer. We have demonstrated an approach that could be used to select people at high risk of future dementia for clinical trials.",

author = "Tiago Azevedo and Bethlehem, {Richard A.I.} and Whiteside, {David J.} and Nol Swaddiwudhipong and Rowe, {James B.} and Pietro Li{\'o} and Timothy Rittman and Gail Li and Petrie, {Eric C.} and Peskind, {Elaine R.} and Teresa Villena and Walter Martinez and Carl Sadowsky and Athena Lee and Lisa Ravdin and Michael Lin and Gloria Chiang and Norman Relkin and Santulli, {Robert B.} and Hynes, {Mary L.} and Marc Seltzer and Flashman, {Laura A.} and Karen Anderson and Karen Blank and Pearlson, {Godfrey D.} and Smita Kittur and Stephen Correia and Paul Malloy and Stephen Salloway and Steven Potkin and Paul Newhouse and Angelica Garcia and Jiong Shi and Joseph Masdeu and Arthur Wiliams and Jacobo Mintzer and Abigail O{\textquoteright}Connelll and Akiva Mintz and Donna Munic and Charles Bernick and Aaron Ritter and Drake, {Jonathan D.} and Daiello, {Lori A.} and Geoffrey Tremont and Jonathan Drake and Ott, {Brian R.} and Sink, {Kaycee M.} and Mia Yang and Jo Cleveland and Jicha, {Gregory A.}",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2023.",

year = "2023",

month = dec,

doi = "10.1038/s43856-023-00313-w",

language = "English",

volume = "3",

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AU - Azevedo, Tiago

AU - Bethlehem, Richard A.I.

AU - Whiteside, David J.

AU - Swaddiwudhipong, Nol

AU - Rowe, James B.

AU - Lió, Pietro

AU - Rittman, Timothy

AU - Li, Gail

AU - Petrie, Eric C.

AU - Peskind, Elaine R.

AU - Villena, Teresa

AU - Martinez, Walter

AU - Sadowsky, Carl

AU - Lee, Athena

AU - Ravdin, Lisa

AU - Lin, Michael

AU - Chiang, Gloria

AU - Relkin, Norman

AU - Santulli, Robert B.

AU - Hynes, Mary L.

AU - Seltzer, Marc

AU - Flashman, Laura A.

AU - Anderson, Karen

AU - Blank, Karen

AU - Pearlson, Godfrey D.

AU - Kittur, Smita

AU - Correia, Stephen

AU - Malloy, Paul

AU - Salloway, Stephen

AU - Potkin, Steven

AU - Newhouse, Paul

AU - Garcia, Angelica

AU - Shi, Jiong

AU - Masdeu, Joseph

AU - Wiliams, Arthur

AU - Mintzer, Jacobo

AU - O’Connelll, Abigail

AU - Mintz, Akiva

AU - Munic, Donna

AU - Bernick, Charles

AU - Ritter, Aaron

AU - Drake, Jonathan D.

AU - Daiello, Lori A.

AU - Tremont, Geoffrey

AU - Drake, Jonathan

AU - Ott, Brian R.

AU - Sink, Kaycee M.

AU - Yang, Mia

AU - Cleveland, Jo

AU - Jicha, Gregory A.

PY - 2023/12

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N2 - Spotting people with dementia early is challenging, but important to identify people for trials of treatment and prevention. We used brain scans of people with Alzheimer’s disease, the commonest type of dementia, and applied an artificial intelligence method to spot people with Alzheimer’s disease. We used this to find people in the Healthy UK Biobank study who might have early Alzheimer’s disease. The people we found had subtle changes in their memory and thinking to suggest they may have early disease, and we also found they had high blood pressure and smoked for longer. We have demonstrated an approach that could be used to select people at high risk of future dementia for clinical trials.

AB - Spotting people with dementia early is challenging, but important to identify people for trials of treatment and prevention. We used brain scans of people with Alzheimer’s disease, the commonest type of dementia, and applied an artificial intelligence method to spot people with Alzheimer’s disease. We used this to find people in the Healthy UK Biobank study who might have early Alzheimer’s disease. The people we found had subtle changes in their memory and thinking to suggest they may have early disease, and we also found they had high blood pressure and smoked for longer. We have demonstrated an approach that could be used to select people at high risk of future dementia for clinical trials.

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ER -

Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank

Abstract

Bibliographical note

ASJC Scopus subject areas

UN SDGs

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