Evidence map›Paper›PMID 30544240›Full record

ReviewThe international journal of neuropsychopharmacology2019

Making Sense of Connectivity.

Andreas Hahn, Rupert Lanzenberger, Siegfried Kasper

Abstract readReview
In one paragraph

Review in The international journal of neuropsychopharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Molecular connectivity studies in neurotransmission: a scoping review.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  7. Article
  8. Article
  9. A new framework for metabolic connectivity mapping using bolus [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Evaluating global brain connectivity as an imaging marker for depression: influence of preprocessing strategies and placebo-controlled ketamine treatment.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Article
  15. From metabolic connectivity to molecular connectivity: application to dopaminergic pathways.European journal of nuclear medicine and molecular imaging · 2020
    Article
  16. Article
  17. 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

3 authors.

Andreas HahnDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Austria.
Rupert LanzenbergerDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Austria.
Siegfried KasperDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In addition to the assessment of local alterations of specific brain regions, the investigation of entire networks with in vivo neuroimaging techniques has gained increasing attention. In general, connectivity analysis refers to the investigation of links between brain regions, with the aim to characterize their interactions and information transfer. These may represent or relate to different physiological characteristics (structural, functional, or metabolic information) and can be calculated across different levels of granularity (2 regions vs whole brain). In this article, we provide an overview of different connectivity analysis approaches with interpretations and limitations as well as examples in pharmacological imaging and clinical applications. Structural connectivity obtained from diffusion MRI enables the reconstruction of neuronal fiber tracts. These physical links represent major constraints of functional connections, which are in turn defined as correlations between signal time courses. In addition, molecular connectivity approaches based on PET imaging enable the assessment of interregional associations of metabolic demands and neurotransmitter systems. Application of these approaches in clinical investigations has demonstrated novel alterations in various neurological and psychiatric disorders on a network level. Future work should aim for the combined assessment of multiple imaging modalities and to establish robust biomarkers for clinical use. These advancements will further improve the biological interpretation of connectivity metrics and networks of the human brain.

Indexed as

BrainBrain MappingDiffusion Tensor ImagingHumansMental DisordersNerve NetNervous System DiseasesNeuroimagingPositron-Emission Tomographyconnectivitydiffusion tensor imaginggraph theorynetworkpositron emission tomographyresting-state fMRI

Identifiers

PMID30544240
PMCPMC6403091

What OpenQuestion holds

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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.