Evidence map›Paper›PMID 28210978›Full record

ReviewCurrent neurology and neuroscience reports2017

Future Directions in Imaging Neurodegeneration.

Joseph C Masdeu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current neurology and neuroscience reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Potential Roles of Neuroimaging in Motor Neuron Disease.Current neurology and neuroscience reports · 2026
    Review
  3. Article
  4. Review
  5. Review
  6. Review
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.

Joseph C MasdeuNantz National Alzheimer Center and Neuroimaging, Houston Methodist Neurological Institute, Houston Methodist Hospital, New York Medical College, Weill Medical College of Cornell University, 6560 Fannin Street, Scurlock 802, Houston, TX, 77030, USA. jcmasdeu@houstonmethodist.org.
Houston Methodist · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroimaging comprises a powerful set of instruments to diagnose various neurodegenerative disorders, clarifies their neurobiology, and monitors their treatment. Magnetic resonance imaging depicts volume changes, as well as abnormalities in functional and structural connectivity. Positron emission tomography (PET) allows for the quantification of regional cerebral metabolism, characteristically altered in Alzheimer's disease, amyotrophic lateral sclerosis, diffuse Lewy-body disease, and the frontotemporal dementias. PET is also used to measure several neurotransmitters, such as dopamine, which is abnormal in Parkinson's disease, and to determine the abnormal brain deposition of amyloid-β and tau, as well as brain inflammation. These instruments allow for the quantification in vivo and the longitudinal follow-up of key neurobiological events in neurodegeneration. For instance, amyloid imaging is being used not only to determine who has excess amyloid in the brain but also to investigate whether removing it may slow the deposition of tau and delay cognitive impairment in Alzheimer's disease.

Indexed as

Alzheimer DiseaseAmyloidAnimalsHumansMagnetic Resonance ImagingNeuroimagingPositron-Emission Tomographytau ProteinsAmyloidtau ProteinsAlzheimer diseaseAmyloid-βNeurodegenerationNeuroimagingPositron emission tomographyTau

Identifiers

PMID28210978
OpenAlexW2588243634

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.