Evidence map›Paper›PMID 19402932›Full record

ArticleJournal of the International Neuropsychological Society : JINS2009

Neuropsychological patterns in magnetic resonance imaging-defined subgroups of patients with degenerative dementia.

John Listerud, Chivon Powers, Peachie Moore, David J Libon, Murray Grossman

Abstract read
In one paragraph

Article in Journal of the International Neuropsychological Society : JINS, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. 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

5 authors.

John ListerudDepartment of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104-4283, USA.
Chivon Powers
Peachie Moore
David J Libon
Murray Grossman

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
CONCEPTUAL PROCESSING IN ALZHEIMERS DISEASER01AG015116 · NIA · UNIVERSITY OF PENNSYLVANIA · PI GROSSMAN, MURRAY · 1998 to 2010
$4.3M
NIA NIH HHS AG15116NIA NIH HHS AG17586NIA NIH HHS P01 AG017586NIA NIH HHS R01 AG015116NINDS NIH HHS NS44266NINDS NIH HHS P50 NS053488NINDS NIH HHS R01 NS044266
6 · The paper itself

Abstract

We hypothesized that specific neuropsychological deficits were associated with specific patterns of atrophy. A magnetic resonance imaging volumetric study and a neuropsychological protocol were obtained for patients with several frontotemporal lobar dementia phenotypes including a social/dysexecutive (SOC/EXEC, n = 17), progressive nonfluent aphasia (n = 9), semantic dementia (n = 7), corticobasal syndrome (n = 9), and Alzheimer's disease (n = 21). Blinded to testing results, patients were partitioned according to pattern of predominant cortical atrophy; our partitioning algorithm had been derived using seriation, a hierarchical classification technique. Neuropsychological test scores were regressed versus these atrophy patterns as fixed effects using the covariate total atrophy as marker for disease severity. The results showed the model accounted for substantial variance. Furthermore, the "large-scale networks" associated with each neuropsychological test conformed well to the known literature. For example, bilateral prefrontal cortical atrophy was exclusively associated with SOC/EXEC dysfunction. The neuropsychological principle of "double dissociation" was supported not just by such active associations but also by the "silence" of locations not previously implicated by the literature. We conclude that classifying patients with degenerative dementia by specific pattern of cortical atrophy has the potential to predict individual patterns of cognitive deficits.

Indexed as

Neuropsychological TestsAgedAlgorithmsAtrophyBrain MappingCerebral CortexCognition DisordersDementiaFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMemoryMiddle AgedPsychometrics

Identifiers

PMID19402932
PMCPMC2918516

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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.