Evidence map›Paper›PMID 33800680›Full record

ReviewBrain sciences2021

Brain Molecular Connectivity in Neurodegenerative Conditions.

Giulia Carli, Giacomo Tondo, Cecilia Boccalini, Daniela Perani

Open access · goldAbstract readReview
In one paragraph

Review in Brain sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Artificial Intelligence in The Management of Neurodegenerative Disorders.CNS & neurological disorders drug targets · 2024
    Review
  7. Article
  8. Review
  9. 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

4 authors at 1 institution in 1 country.

Giulia CarliSchool of Psychology, Vita-Salute San Raffaele University, 20121 Milan, Italy.
Giacomo TondoSchool of Psychology, Vita-Salute San Raffaele University, 20121 Milan, Italy.
Cecilia BoccaliniSchool of Psychology, Vita-Salute San Raffaele University, 20121 Milan, Italy.ORCID 0000-0002-3518-436X
Daniela PeraniSchool of Psychology, Vita-Salute San Raffaele University, 20121 Milan, Italy.
Vita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Positron emission tomography (PET) allows for the in vivo assessment of early brain functional and molecular changes in neurodegenerative conditions, representing a unique tool in the diagnostic workup. The increased use of multivariate PET imaging analysis approaches has provided the chance to investigate regional molecular processes and long-distance brain circuit functional interactions in the last decade. PET metabolic and neurotransmission connectome can reveal brain region interactions. This review is an overview of concepts and methods for PET molecular and metabolic covariance assessment with evidence in neurodegenerative conditions, including Alzheimer's disease and Lewy bodies disease spectrum. We highlight the effects of environmental and biological factors on brain network organization. All of the above might contribute to innovative diagnostic tools and potential disease-modifying interventions.

Indexed as

[18F]FDG-PETAlzheimer’s disease spectrumbrain metabolic connectivitybrain network analysisLewy bodies disease spectrumneurodegenerative diseases

Identifiers

PMID33800680
PMCPMC8067093
OpenAlexW3142434909

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.