Evidence map›Paper›PMID 41505204›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Identifying early changes in imaging, plasma, and digital cognitive biomarkers that correspond to Alzheimer's disease pathology in the presence of autopsy-confirmed co-pathologies.

Charles D Chen, Cinthya Aguero, Alexandra Melloni, Brian C Healy, Emma G Thibault, Jessie Fanglu Fu, Michelle E Farrell, Stephanie Schultz, Hyun-Sik Yang, Jean-Pierre Bellier and 10 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Charles D ChenDepartment of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Cinthya AgueroDepartment of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
Alexandra MelloniDepartment of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
Brian C HealyDepartment of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
Emma G ThibaultDepartment of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
Jessie Fanglu FuDepartment of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Michelle E FarrellDepartment of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
Stephanie SchultzDepartment of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
Hyun-Sik YangDepartment of Neurology, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Jean-Pierre BellierDepartment of Neurology, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Jasmeer ChhatwalDepartment of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
Pia Kivisäkk WebbDepartment of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
Steven ArnoldDepartment of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
Dana PenneyDepartment of Neurology, Lahey Hospital and Medical Center, Burlington, Massachusetts, USA.
Randall DavisComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Dorene RentzDepartment of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
Teresa Gomez-IslaDepartment of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
Reisa A SperlingDepartment of Neurology, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Keith A JohnsonDepartment of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.
Julie C PriceDepartment of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, Massachusetts, USA.

Funding

Vascular factors, physical activity, and inflammation as modulators of neurodegenerative and cognitive trajectories (Project 2)P01AG036694 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Rachel Frances Buckley, Keith A. Johnson · 2010 to 2026
$50.2M
THE ROLE OF ADVANCED CAA IN ALZHEIMER'S DEMENTIAP50AG005134 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI HYMAN, BRADLEY T. · 1985 to 2018
$42.1M
Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Christine S Ritchie · 2019 to 2026
$36.5M
The MobileToolbox for Monitoring Cognitive Function - Technical CoreU2CAG060426 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Michael Robert Kellen · 2018 to 2026
$35.0M
ARMADA: Advancing Reliable Measurement in Alzheimer's Disease and cognitive Aging - Tech CoreU2CAG057441 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GERSHON, RICHARD, WEINTRAUB, SANDRA · 2017 to 2019
$10.8M
Molecular and cellular underpinnings of limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC)R01AG080667 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI Hyun-Sik Yang · 2023 to 2026
$5.1M
Program to enrich translation and multimodal research in Alzheimers disease and related dementiasT32AG066592 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI PRICE, JULIE C · 2021 to 2025
$1.6M
Mentoring Imaging Research in Early ADK24AG035007 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI SPERLING, REISA A. · 2010 to 2020
$1.4M
Optimizing PET spatial extent measures to detect the earliest amyloid-beta and tau accumulation and associated cognitive decline in preclinical Alzheimer's diseaseK01AG083062 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Michelle Elizabeth Farrell · 2023 to 2026
$514k
Development and validation of efficient cognitive composite scores of digital tools for the detection of early pathophysiological changes in Alzheimers diseaseR00AG081457 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Fang Lu (Jessie) Fu · 2025 to 2026
$493k
Identifying variations in gamma-secretase function that are critical determinants of clinical and biomarker progression of Autosomal Dominant Alzheimer's disease: From mechanism to clinical trialsK01AG084816 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Stephanie Schultz · 2024 to 2026
$387k
Development and validation of efficient cognitive composite scores of digital tools for the detection of early pathophysiological changes in Alzheimers diseaseK99AG081457 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI FU, FANG LU (JESSIE) · 2023 to 2024
$254k
Air Force Research Laboratory FA9550-23-1-0399NIA NIH HHS K01 AG083062NIA NIH HHS K01 AG084816NIA NIH HHS K24 AG035007NIA NIH HHS K99 AG081457NIA NIH HHS P01 AG036694NIA NIH HHS P30 AG062421NIA NIH HHS P50 AG005134NIA NIH HHS R00 AG081457NIA NIH HHS R01 AG080667NIA NIH HHS T32 AG066592NIA NIH HHS U2C AG057441NIA NIH HHS U2C AG060426NIH HHS 5U2CAG057441-03S1NIH HHS 5U2CAG060426-04S1NIH HHS K01AG083062NIH HHS K01AG084816NIH HHS K24AG035007NIH HHS K99AG081457NIH HHS P01AG036694NIH HHS P30AG062421NIH HHS P30AG062421-06NIH HHS P50AG005134NIH HHS R00AG081457NIH HHS R01AG080667NIH HHS T32AG066592
6 · The paper itself

Abstract

introductionAlzheimer's disease (AD) biomarkers are assessed on their ability to detect AD pathophysiology in vivo, with confirmation of AD neuropathology only at autopsy.

methodsPositron emission tomography (PET), plasma, and cognitive AD biomarkers were compared to AD neuropathology in Harvard Aging Brain Study participants (10 cognitively unimpaired; 6 mild cognitive impairment). Different PET methods were evaluated, for example, standardized uptake volume ratio (SUVR), distribution volume ratio (DVR), spatial extent (EXT), and partial-volume correction (PVC).

resultsAmyloid beta (Aβ)-PET ( DISCUSSION: These findings support the innovative use of imaging, plasma, and digital cognitive tools for detecting AD pathophysiology in a largely cognitively unimpaired population. HIGHLIGHTS: Amyloid beta-positron emission tomography (Aβ-PET), tau-PET imaging, and plasma tau phosphorylated at threonine 217 (p-tau217) correlate with ABC scores Correlations were larger for Aβ-PET distribution volume ratio (DVR) and tau-PET standardized uptake volume ratio (SUVR; composite reference, partial volume correction [PVC]) Digital Clock Drawing Test latency features correlate with A- and Cscores Standard cognitive measures mostly did not correlate with ABC scores Plasma glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) biomarkers did not correlate with ABC scores.

Indexed as

Alzheimer DiseaseBrainCognitive DysfunctionAgedAged, 80 and overAmyloid beta-PeptidesAniline CompoundsAutopsyBiomarkersFemaleGlial Fibrillary Acidic ProteinHumansMaleNeurofibrillary TanglesNeurofilament ProteinsPlaque, AmyloidAmyloid beta-PeptidesAniline CompoundsBiomarkersGlial Fibrillary Acidic ProteinNeurofilament Proteinstau ProteinsAlzheimer's diseaseAβ plaquesbiomarkersdigital Clock Drawing TestHarvard Aging Brain Studyneuropathologyplasma GFAPplasma NfLplasma p‐tau217tau neurofibrillary tangles

Identifiers

PMID41505204
PMCPMC12782146

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.