Evidence map›Paper›PMID 22941893›Full record

ReviewAnnals of neurology2012

Metabolic brain networks in translational neurology: concepts and applications.

Martin Niethammer, David Eidelberg

Registry-linked trialAbstract readReview
In one paragraph

Review in Annals of neurology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04228172 (Genotypic Influences on Network Progression in Parkinson's Disease), which is not on this map. Cited by 92 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 3 pooled it
4.7field-weighted citation impact, top 4% 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.

NCT04228172 active not recruitingnot on this mapstarted 2020, after this paper: background citation

Genotypic Influences on Network Progression in Parkinson's Disease

TypeobservationalSponsorNorthwell HealthRan2020 to 2026Enrolled32ConditionsParkinson's DiseaseArmsDNA/GeneticTesting, FDG PET scan, MRI scan, Clinical and neuropsychological assessments
3 · Its place in the literature

Who cites it

92 citing papers in PubMed, 3 syntheses or guidelines pooled it, 155 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Correlations between dopaminergic dysfunction and abnormal metabolic network activity in REM sleep behavior disorder.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    Trial
  5. Abnormal metabolic pattern associated with cognitive impairment in Parkinson's disease: a validation study.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2015
    Trial
  6. Network modulation following sham surgery in Parkinson's disease.The Journal of clinical investigation · 2014
    Trial
  7. Article
  8. Preoperative network activity predicts the response to subthalamic DBS for Parkinson's disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Functional Brain Networks to Evaluate Treatment Responses in Parkinson's Disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Article
  19. [Application of Polysomnography in Common Neurodegenerative Diseases].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023
    Review
  20. Article

32 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

2 authors at 1 institution in 1 country.

Martin NiethammerCenter for Neurosciences, Feinstein Institute for Medical Research, Manhasset, NY 11030, USA.
David Eidelberg
Feinstein Institute for Medical Research · US

Funding

Statistics and Data Management CoreP50NS071675 · NINDS · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI EIDELBERG, DAVID · 2010 to 2014
$9.3M
NINDS NIH HHS P50 NS071675NINDS NIH HHS P50NS071675
6 · The paper itself

Abstract

Over the past 2 decades, functional imaging techniques have become commonplace in the study of brain disease. Nevertheless, very few validated analytical methods have been developed specifically to identify and measure systems-level abnormalities in living patients. Network approaches are particularly relevant for translational research in the neurodegenerative disorders, which often involve stereotyped abnormalities in brain organization. In recent years, spatial covariance mapping, a multivariate analytical tool applied mainly to metabolic images acquired in the resting state, has provided a useful means of objectively assessing brain disorders at the network level. By quantifying network activity in individual subjects on a scan-by-scan basis, this technique makes it possible to objectively assess disease progression and the response to treatment on a system-wide basis. To illustrate the utility of network imaging in neurological research, we review recent applications of this approach in the study of Parkinson disease and related movement disorders. Novel uses of the technique are discussed, including the prediction of cognitive responses to dopaminergic therapy, evaluation of the effects of placebo treatment on network activity, assessment of preclinical disease progression, and the use of automated pattern-based algorithms to enhance diagnostic accuracy.

Indexed as

Brain MappingMetabolic Networks and PathwaysNeurologyBrainHumansNervous System Diseases

Identifiers

PMID22941893
PMCPMC4564117
OpenAlexW2091536386

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.