Evidence map›Paper›PMID 39696378›Full record

ArticleAlzheimer's research & therapy2024

Greater baseline cortical atrophy in the dorsal attention network predicts faster clinical decline in Posterior Cortical Atrophy.

Yuta Katsumi, Ryan Eckbo, Marianne Chapleau, Bonnie Wong, Scott M McGinnis, Alexandra Touroutoglou, Bradford C Dickerson, Deepti Putcha

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  4. Regional cortical network atrophy predicts progression to dementia in the Lewy body diseases.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  5. Article
  6. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Yuta KatsumiFrontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02115, USA. ykatsumi@mgh.harvard.edu.
Ryan EckboFrontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02115, USA.
Marianne ChapleauMemory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA.
Bonnie WongFrontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02115, USA.
Scott M McGinnisFrontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02115, USA.
Alexandra TouroutoglouFrontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02115, USA.
Bradford C DickersonFrontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02115, USA.
Deepti PutchaFrontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02115, USA. dputcha@mgh.harvard.edu.

Funding

Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Deborah L. BLACKER · 2019 to 2026
$36.5M
Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Imaging tau, amyloid, and neurodegeneration in PPAR01DC014296 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI DICKERSON, BRADFORD C, JOHNSON, KEITH A. · 2016 to 2020
$4.3M
Robust detection of atrophy over short intervals in AD and FTLDR01AG081249 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI BRADFORD C DICKERSON · 2023 to 2026
$3.3M
A Storage Area Network for Structural and Functional Image AnalysisS10RR023401 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2009 to 2009
$2.0M
SILICON GRAPHICS PRISM EXTREME 128P/1TBS10RR023043 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI SORENSEN, ALMA GREGORY · 2006 to 2006
$1.5M
Dissociating the mechanisms of Tau PET and cortical atrophy underlying memory deficits in typical and atypical prodromal Alzheimer's diseaseK23AG065450 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI PUTCHA, DEEPTI · 2020 to 2024
$1.0M
TMS in Primary Progressive Aphasia: Modulation of Brain Networks and LanguageK23DC016912 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI TOUROUTOGLOU, ALEXANDRA · 2019 to 2023
$871k
A Siemens MAGNETOTOM Trio 3 Tesla MRI SystemS10RR021110 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2006 to 2006
$500k
Neuromodulation of brain network function in preclinical and prodromal Alzheimer's DiseaseR21AG080588 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI DICKERSON, BRADFORD C, TOUROUTOGLOU, ALEXANDRA · 2023 to 2024
$462k
Neurogenetic contributions to the spread of tau pathology in sporadic early-onset Alzheimer's diseaseK01AG084820 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Yuta Katsumi · 2024 to 2026
$387k
NCRR NIH HHS S10 RR021110NCRR NIH HHS S10 RR023043NCRR NIH HHS S10 RR023401NIA NIH HHS K01 AG084820NIA NIH HHS K23 AG065450NIA NIH HHS P30 AG062421NIA NIH HHS R01 AG081249NIA NIH HHS R21 AG080588NIBIB NIH HHS P41 EB015896NIDCD NIH HHS K23 DC016912NIDCD NIH HHS R01 DC014296NIH HHS K01 AG084820NIH HHS K23 AG065450NIH HHS R01 DC014296NIH HHS R21 AG080588
6 · The paper itself

Abstract

backgroundPosterior Cortical Atrophy (PCA) is a clinical syndrome characterized by progressive visuospatial and visuoperceptual impairment. As the neurodegenerative disease progresses, patients lose independent functioning due to the worsening of initial symptoms and development of symptoms in other cognitive domains. The timeline of clinical progression is variable across patients, and the field currently lacks robust methods for prognostication. Here, evaluated the utility of MRI-based cortical atrophy as a predictor of longitudinal clinical decline in a sample of PCA patients.

methodsPCA patients were recruited through the Massachusetts General Hospital Frontotemporal Disorders Unit PCA Program. All patients had cortical thickness estimates from baseline MRI scans, which were used to predict longitudinal change in clinical impairment assessed by the CDR Sum-of-Boxes (CDR-SB) score. Multivariable linear regression was used to estimate the magnitude of cortical atrophy in PCA patients relative to a group of amyloid-negative cognitively unimpaired participants. Linear mixed-effects models were used to test hypotheses about the utility of baseline cortical atrophy for predicting longitudinal clinical decline.

resultsData acquired from 34 PCA patients (mean age = 65.41 ± 7.90, 71% females) and 24 controls (mean age = 67.34 ± 4.93, 50% females) were analyzed. 62% of the PCA patients were classified as having mild cognitive impairment (CDR 0.5) at baseline, with the rest having mild dementia (CDR 1). Each patient had at least one clinical follow-up, with the mean duration of 2.78 ± 1.62 years. Relative to controls, PCA patients showed prominent baseline atrophy in the posterior cortical regions, with the largest effect size observed in the visual network of the cerebral cortex. Cortical atrophy localized to the dorsal attention network, which supports higher-order visuospatial function, selectively predicted the rate of subsequent clinical decline.

conclusionsThese results demonstrate the utility of a snapshot measure of cortical atrophy of the dorsal attention network for predicting the rate of subsequent clinical decline in PCA. If replicated, this topographically-specific MRI-based biomarker could be useful as a clinical prognostication tool that facilitates personalized care planning.

Indexed as

AtrophyCerebral CortexDisease ProgressionMagnetic Resonance ImagingAgedAttentionCognitive DysfunctionFemaleHumansLongitudinal StudiesMaleMiddle AgedNeuropsychological TestsAlzheimer’s diseaseCerebral cortexFunctional networksMagnetic resonance imaging (MRI)NeurodegenerationNeuroimagingPrognostication

Identifiers

PMID39696378
PMCPMC11653806

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.