Evidence map›Paper›PMID 22290573›Full record

ReviewNature reviews. Neurology2012

Neuroimaging in frontotemporal lobar degeneration--predicting molecular pathology.

Jennifer L Whitwell, Keith A Josephs

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. FTD spectrum: Neuroimaging across the FTD spectrum.Progress in molecular biology and translational science · 2019
    Review
  9. Neuroimaging in aging and neurologic diseases.Handbook of clinical neurology · 2019
    Review
  10. Review
  11. Article
  12. Article
  13. Emerging Diagnostic and Therapeutic Strategies for Tauopathies.Current neurology and neuroscience reports · 2017
    Review
  14. Review
  15. Article
  16. Music Perception in Dementia.Journal of Alzheimer's disease : JAD · 2017
    Article
  17. Review
  18. Mapping brain morphological and functional conversion patterns in predementia late-onset bvFTD.European journal of nuclear medicine and molecular imaging · 2016
    Article
  19. Article
  20. Cognitive and Brain Profiles Associated with Current Neuroimaging Biomarkers of Preclinical Alzheimer's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    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

2 authors at 2 institutions in 1 country.

Jennifer L WhitwellDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
Keith A Josephs
Mayo Clinic · USWinnMed · US

Funding

Understanding the role of TDP-43 in Alzheimers disease and FTLDR01AG037491 · NIA · MAYO CLINIC ROCHESTER · PI JOSEPHS, KEITH A · 2010 to 2024
$6.5M
PIB PET Scanning in Speech and Language Based DementiasR01DC010367 · NIDCD · MAYO CLINIC ROCHESTER · PI JOSEPHS, KEITH A · 2010 to 2014
$1.7M
An Investigation Into Atypical Alzheimer's DiseaseR21AG038736 · NIA · MAYO CLINIC ROCHESTER · PI WHITWELL, JENNIFER LOUISE · 2010 to 2011
$359k
NIA NIH HHS R01 AG037491NIA NIH HHS R01-AG037491NIA NIH HHS R21-AG38736NIDCD NIH HHS R01-DC010367
6 · The paper itself

Abstract

Frontotemporal lobar degeneration (FTLD) encompasses a group of diseases characterized by neuronal loss and gliosis of the frontal and temporal lobes. Almost all cases of FTLD can be classified into three categories on the basis of deposition of one of three abnormal proteins: the microtubule-associated protein tau, TAR DNA-binding protein 43, or fused in sarcoma. The specific diagnoses within each of these three categories are further differentiated by the distribution and morphological appearance of the protein-containing inclusions. Future treatments are likely to target these abnormal proteins; the clinical challenge, therefore, is to be able to predict molecular pathology during life. Clinical diagnosis alone has had variable success in helping to predict pathology, and is particularly poor in the diagnosis of behavioral variant frontotemporal dementia, which can be associated with all three abnormal proteins. Consequently, other biomarkers of disease are needed. This Review highlights how patterns of atrophy assessed on MRI demonstrate neuroanatomical signatures of the individual FTLD pathologies, independent of clinical phenotype. The roles of these patterns of atrophy as biomarkers of disease, and their potential to help predict pathology during life in patients with FTLD, are also discussed.

Indexed as

NeuroimagingPathology, MolecularDNA-Binding ProteinsFrontotemporal Lobar DegenerationGenetic Predisposition to DiseaseGenetic TestingHumansDNA-Binding Proteins

Identifiers

PMID22290573
OpenAlexW2083242809

What OpenQuestion holds

Textmetadata
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.