Evidence map›Paper›PMID 38379764›Full record

ArticleFrontiers in neuroscience2024

Language uncovers visuospatial dysfunction in posterior cortical atrophy: a natural language processing approach.

Neguine Rezaii, Daisy Hochberg, Megan Quimby, Bonnie Wong, Scott McGinnis, Bradford C Dickerson, Deepti Putcha

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Neguine RezaiiFrontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Daisy HochbergFrontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Megan QuimbyFrontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Bonnie WongFrontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Scott McGinnisCenter for Brain Mind Medicine, Department of Neurology, Brigham and Women's Hospital, Boston, MA, United States.
Bradford C DickersonFrontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Deepti PutchaFrontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Harvard University · USMassachusetts General Hospital · USBrigham and Women's Hospital · US

Funding

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 Alberto Serrano-Pozo · 2019 to 2026
$36.5M
Imaging tau, amyloid, and neurodegeneration in PPAR01DC014296 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI DICKERSON, BRADFORD C, JOHNSON, KEITH A. · 2016 to 2020
$4.3M
Toward Personalized Prognosis and Outcomes in Primary Progressive AphasiaRF1NS131395 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI DICKERSON, BRADFORD C · 2023 to 2023
$2.5M
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
Use of machine learning to quantify cognitive function in AD, FTD, and DLBR21AG073744 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI DICKERSON, BRADFORD C, WOLFF, PHILLIP MARK · 2021 to 2022
$443k
Computational psycholinguistic analysis of speech samples in PPA and AD and FTDR21DC019567 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI DICKERSON, BRADFORD C, WOLFF, PHILLIP MARK · 2022 to 2023
$443k
NIA NIH HHS K23 AG065450NIA NIH HHS P30 AG062421NIA NIH HHS P50 AG005134NIA NIH HHS R21 AG073744NIDCD NIH HHS R01 DC014296NIDCD NIH HHS R21 DC019567NINDS NIH HHS RF1 NS131395
6 · The paper itself

Abstract

Introduction: Posterior Cortical Atrophy (PCA) is a syndrome characterized by a progressive decline in higher-order visuospatial processing, leading to symptoms such as space perception deficit, simultanagnosia, and object perception impairment. While PCA is primarily known for its impact on visuospatial abilities, recent studies have documented language abnormalities in PCA patients. This study aims to delineate the nature and origin of language impairments in PCA, hypothesizing that language deficits reflect the visuospatial processing impairments of the disease. Methods: We compared the language samples of 25 patients with PCA with age-matched cognitively normal (CN) individuals across two distinct tasks: a visually-dependent picture description and a visually-independent job description task. We extracted word frequency, word utterance latency, and spatial relational words for this comparison. We then conducted an in-depth analysis of the language used in the picture description task to identify specific linguistic indicators that reflect the visuospatial processing deficits of PCA. Results: Patients with PCA showed significant language deficits in the visually-dependent task, characterized by higher word frequency, prolonged utterance latency, and fewer spatial relational words, but not in the visually-independent task. An in-depth analysis of the picture description task further showed that PCA patients struggled to identify certain visual elements as well as the overall theme of the picture. A predictive model based on these language features distinguished PCA patients from CN individuals with high classification accuracy. Discussion: The findings indicate that language is a sensitive behavioral construct to detect visuospatial processing abnormalities of PCA. These insights offer theoretical and clinical avenues for understanding and managing PCA, underscoring language as a crucial marker for the visuospatial deficits of this atypical variant of Alzheimer's disease.

Indexed as

language indicatorsnatural language processingposterior cortical atrophysemantic processingvisuospatial impairment

Identifiers

PMID38379764
PMCPMC10876777
OpenAlexW4391571401

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.