Evidence map›Paper›PMID 22608668›Full record

ReviewThe Lancet. Neurology2012

The non-fluent/agrammatic variant of primary progressive aphasia.

Murray Grossman

Abstract readReview
In one paragraph

Review in The Lancet. Neurology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed, 2 pooled it
10.2field-weighted citation impact, top 2% 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

124 citing papers in PubMed, 2 syntheses or guidelines pooled it, 224 citations in OpenAlex.

  1. Pooled it
  2. Task-Free Functional Language Networks: Reproducibility and Clinical Application.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Pooled it
  3. Trial
  4. Trial
  5. 2 mA is NOT 2 mA: Electric field variability in high-definition tDCS and its implications for precision neuromodulation in aging.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Article
  6. Neuropathology-specific language features in primary progressive aphasia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  7. Article
  8. Article
  9. Non-fluent agrammatic variant of primary progressive aphasia in a bilingual Mandarin/English speaker: a case report.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2026
    Article
  10. Review
  11. Article
  12. Neurological update: speech.Journal of neurology · 2025
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Investigating changes in connected speech in nonfluent/agrammatic primary progressive aphasia following script training.Cortex; a journal devoted to the study of the nervous system and behavior · 2025
    Article

64 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Murray GrossmanDepartment of Neurology, University of Pennsylvania, Philadelphia, PA 19104-4283, USA. mgrossma@mail.med.upenn.edu
University of Pennsylvania · 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
COGNITIVE IMPAIRMENTS IN PARKINSONS DISEASE AND AGINGR01NS035867 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI GROSSMAN, MURRAY · 1997 to 2006
$2.2M
NIA NIH HHS AG15116NIA NIH HHS AG17586NIA NIH HHS AG32953NIA NIH HHS P01 AG017586NIA NIH HHS P01 AG032953NIA NIH HHS R01 AG015116NINDS NIH HHS NS44266NINDS NIH HHS NS53488NINDS NIH HHS P50 NS053488NINDS NIH HHS R01 NS035867NINDS NIH HHS R01 NS044266
6 · The paper itself

Abstract

The non-fluent/agrammatic variant of primary progressive aphasia (naPPA) is a young-onset neurodegenerative disorder characterised by poor grammatical comprehension and expression and a disorder of speech sound production. In an era of disease-modifying treatments, the identification of naPPA might be an important step in establishing a specific cause of neurodegenerative disease. However, difficulties in defining the characteristic language deficits and heterogeneity in the anatomical distribution of disease in naPPA have led to controversy. Findings from imaging studies have linked an impairment of this uniquely human language capacity with disruption of large-scale neural networks centred in left inferior frontal and anterior superior temporal regions. Accordingly, the pathological burden of disease in naPPA is anatomically focused in these regions. Most cases of naPPA are associated with the spectrum of pathological changes found in frontotemporal lobar degeneration involving the microtubule-associated protein tau. Knowledge of these unique clinical-pathological associations should advance care for patients with this important class of neurodegenerative diseases while supplementing our knowledge of human cognitive neuroscience.

Indexed as

BrainHumansPrimary Progressive Nonfluent Aphasia

Identifiers

PMID22608668
PMCPMC3361730
OpenAlexW2160266392

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.