Evidence map›Paper›PMID 23220494›Full record

ArticleNeuroImage2013

Category-specific semantic memory: converging evidence from bold fMRI and Alzheimer's disease.

Murray Grossman, Jonathan E Peelle, Edward E Smith, Corey T McMillan, Philip Cook, John Powers, Michael Dreyfuss, Michael F Bonner, Lauren Richmond, Ashley Boller and 2 more

Abstract read
In one paragraph

Article in NeuroImage, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  10. Review
  11. Impaired cognitive flexibility in amyotrophic lateral sclerosis.Cognitive and behavioral neurology : official journal of the Society for Behavioral and Cognitive Neurology · 2015
    Article
  12. ALS-Plus syndrome: non-pyramidal features in a large ALS cohort.Journal of the neurological sciences · 2014
    Article
  13. Article
  14. Article
  15. Article
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  18. Article
  19. Scene categorization in Alzheimer's disease: a saccadic choice task.Dementia and geriatric cognitive disorders extra
    Article
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

12 authors at 2 institutions in 1 country.

Murray GrossmanFrontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-4283, USA. mgrossma@mail.med.upenn.edu
Jonathan E Peelle
Edward E Smith
Corey T McMillan
Philip Cook
John Powers
Michael Dreyfuss
Michael F Bonner
Lauren Richmond
Ashley Boller
Emily Camp
Lisa Burkholder
University of Pennsylvania · USColumbia University · US

Funding

Transgenic Mouse Models of Tau PathologiesP01AG017586 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LEE, VIRGINIA M · 2000 to 2021
$37.3M
Project IV: "Alpha-Synuclein Strains & Diverse Synucleinopathies"P50NS053488 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI TROJANOWSKI, JOHN Q. · 2007 to 2017
$20.9M
Neural Basis of Generalized QuantifiersR01NS044266 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI GROSSMAN, MURRAY · 2004 to 2014
$6.8M
TDP-43 Proteinopathies in ALS-DementiaP01AG032953 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LEE, VIRGINIA M · 2010 to 2014
$5.8M
CONCEPTUAL PROCESSING IN ALZHEIMERS DISEASER01AG015116 · NIA · UNIVERSITY OF PENNSYLVANIA · PI GROSSMAN, MURRAY · 1998 to 2010
$4.3M
Age, Hearing Loss, and Sentence Comprehension: Neural CorrelatesR01AG038490 · NIA · UNIVERSITY OF PENNSYLVANIA · PI GROSSMAN, MURRAY · 2012 to 2016
$2.1M
NIA NIH HHS AG15116NIA NIH HHS AG17586NIA NIH HHS AG32953NIA NIH HHS AG38490NIA NIH HHS P01 AG017586NIA NIH HHS P01 AG032953NIA NIH HHS R01 AG015116NIA NIH HHS R01 AG038490NINDS NIH HHS NS44266NINDS NIH HHS NS53488NINDS NIH HHS P50 NS053488NINDS NIH HHS R01 NS044266
6 · The paper itself

Abstract

Patients with Alzheimer's disease have category-specific semantic memory difficulty for natural relative to manufactured objects. We assessed the basis for this deficit by asking healthy adults and patients to judge whether pairs of words share a feature (e.g. "banana:lemon-COLOR"). In an fMRI study, healthy adults showed gray matter (GM) activation of temporal-occipital cortex (TOC) where visual-perceptual features may be represented, and prefrontal cortex (PFC) which may contribute to feature selection. Tractography revealed dorsal and ventral stream white matter (WM) projections between PFC and TOC. Patients had greater difficulty with natural than manufactured objects. This was associated with greater overlap between diseased GM areas correlated with natural kinds in patients and fMRI activation in healthy adults for natural kinds. The dorsal WM projection between PFC and TOC in patients correlated only with judgments of natural kinds. Patients thus remained dependent on the same neural network as controls during judgments of natural kinds, despite disease in these areas. For manufactured objects, patients' judgments showed limited correlations with PFC and TOC GM areas activated by controls, and did not correlate with the PFC-TOC dorsal WM tract. Regions outside of the PFC-TOC network thus may help support patients' judgments of manufactured objects. We conclude that a large-scale neural network for semantic memory implicates both feature knowledge representations in modality-specific association cortex and heteromodal regions important for accessing this knowledge, and that patients' relative deficit for natural kinds is due in part to their dependence on this network despite disease in these areas.

Indexed as

Brain MappingSemanticsAdolescentAdultAgedAged, 80 and overAlzheimer DiseaseBrainDiffusion Tensor ImagingFemaleHumansImage Interpretation, Computer-AssistedMaleMemoryYoung Adult

Identifiers

PMID23220494
PMCPMC3557551
OpenAlexW2156631220

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.