Evidence map›Paper›PMID 39756511›Full record

ArticleNeuropsychologia2025

Cortical and behavioral correlates of alexia in primary progressive aphasia and Alzheimer's disease.

Aaron M Meyer, Sarah F Snider, Andreia V Faria, Donna C Tippett, Ryan Saloma, Peter E Turkeltaub, Argye E Hillis, Rhonda B Friedman

Abstract read
In one paragraph

Article in Neuropsychologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

8 authors.

Aaron M MeyerCenter for Aphasia Research and Rehabilitation, Georgetown University Medical Center, USA. Electronic address: Aaron.Meyer@georgetown.edu.
Sarah F SniderCenter for Aphasia Research and Rehabilitation, Georgetown University Medical Center, USA.
Andreia V FariaDepartment of Radiology, Johns Hopkins University, USA.
Donna C TippettDepartment of Physical Medicine and Rehabilitation, Johns Hopkins University, USA; Department of Neurology, Johns Hopkins University, USA; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University, USA.
Ryan SalomaCenter for Aphasia Research and Rehabilitation, Georgetown University Medical Center, USA.
Peter E TurkeltaubCenter for Aphasia Research and Rehabilitation, Georgetown University Medical Center, USA.
Argye E HillisDepartment of Neurology, Johns Hopkins University, USA.
Rhonda B FriedmanCenter for Aphasia Research and Rehabilitation, Georgetown University Medical Center, USA.

Funding

TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Hanzhang Lu, Peter CM Van Zijl · 2021 to 2026
$9.9M
Rehabilitation and Prophylaxis of Anomia in Primary Progressive AphasiaR01DC011317 · NIDCD · GEORGETOWN UNIVERSITY · PI FRIEDMAN, RHONDA B, MEYER, AARON M · 2011 to 2021
$6.4M
Brain networks for reading in stroke alexia and typical agingR01DC020446 · NIDCD · GEORGETOWN UNIVERSITY · PI RHONDA B FRIEDMAN, Peter Ethan Turkeltaub · 2022 to 2026
$3.2M
Delaying Cognitive Decline in Alzheimer's DiseaseR01DC010780 · NIDCD · GEORGETOWN UNIVERSITY · PI FRIEDMAN, RHONDA B · 2009 to 2013
$1.6M
NIBIB NIH HHS P41 EB031771NIDCD NIH HHS R01 DC010780NIDCD NIH HHS R01 DC011317NIDCD NIH HHS R01 DC020446NIDCD NIH HHS R01DC020446-01S1
6 · The paper itself

Abstract

The underlying causes of reading impairment in neurodegenerative disease are not well understood. The current study seeks to determine the causes of surface alexia and phonological alexia in primary progressive aphasia (PPA) and typical (amnestic) Alzheimer's disease (AD). Participants included 24 with the logopenic variant (lvPPA), 17 with the nonfluent/agrammatic variant (nfvPPA), 12 with the semantic variant (svPPA), 19 with unclassifiable PPA (uPPA), and 16 with AD. Measures of Surface Alexia and Phonological Alexia were computed by subtracting control-condition word reading accuracy from irregular word reading and pseudoword reading accuracy, respectively. Cases of Surface Alexia were common in svPPA, lvPPA, uPPA, and AD, but not in nfvPPA. At the subgroup level, average Surface Alexia was significantly higher in svPPA, lvPPA, and uPPA, compared to unimpaired age-matched controls. Cases of Phonological Alexia were common in nfvPPA, lvPPA, and uPPA, and average Phonological Alexia was significantly higher in these subgroups, compared to unimpaired age-matched controls. Behavioral regression results indicated that Surface Alexia can be predicted by impairment in the lexical-semantic processing of nouns, suggesting that a lexical-semantic deficit is required for the development of surface alexia, while cortical volume regression results indicated that Surface Alexia can be predicted by reduced volume in the left Superior Temporal Pole, which has been associated with conceptual-semantic processing. Behavioral regression results indicated that Phonological Alexia can be predicted by impairment on Pseudoword Repetition, suggesting that this type of reading difficulty may be due to impaired phonological processing. The cortical volume regression results suggested that Phonological Alexia can be predicted by reduced volume within the left Inferior Temporal Gyrus and the left Angular Gyrus, areas that are associated with lexical-semantic processing and phonological processing, respectively.

Indexed as

Alzheimer DiseaseAphasia, Primary ProgressiveCerebral CortexDyslexiaAgedAged, 80 and overFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsPhoneticsReadingSemanticsAlzheimer's diseasePhonological alexiaPrimary progressive aphasiaSurface alexia

Identifiers

PMID39756511
PMCPMC11847496

What OpenQuestion holds

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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 OpenQuestion graph.