Evidence map›Paper›PMID 31759575›Full record

ReviewNeuroimaging clinics of North America2020

Widespread Morphometric Abnormalities in Major Depression: Neuroplasticity and Potential for Biomarker Development.

Cynthia H Y Fu, Yong Fan, Christos Davatzikos

Open access · greenAbstract readReview
In one paragraph

Review in Neuroimaging clinics of North America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

3 authors at 2 institutions in 2 countries.

Cynthia H Y FuSchool of Psychology, University of East London, Arthur Edwards Building, Water Lane, London E15 4LZ, UK; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. Electronic address: c.fu@uel.ac.uk.
Yong FanCenter for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Christos DavatzikosCenter for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
University of Pennsylvania · USUniversity of East London · GB

Funding

Machine Learning and Large-scale Imaging analytics for dimensional representations of brain trajectories in aging and preclinical Alzheimer's Disease: The brain aging chart and the iSTAGING consortiumRF1AG054409 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2023
$6.3M
Personalized Functional Network Modeling to Characterize and Predict Psychopathology in YouthR01EB022573 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Yong Fan, Theodore Satterthwaite · 2016 to 2026
$6.0M
Mapping Heterogeneity of Neuroanatomical Imaging Signatures of Psychosis via Pattern AnalysisR01MH112070 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2020
$2.7M
Machine Learning and Large-scale Imaging analytics for dimensional representations of brain trajectories in aging and preclinical Alzheimer's Disease: The brain aging chart and the iSTAGING consortiumR01AG054409 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Christos Davatzikos · 2025 to 2026
$1.4M
Medical Research Council G0802594NIA NIH HHS R01 AG054409NIA NIH HHS RF1 AG054409NIBIB NIH HHS R01 EB022573NIMH NIH HHS R01 MH112070
6 · The paper itself

Abstract

Major depression is common and debilitating. Identifying neurobiological subtypes that comprise the disorder and predict clinical outcome are key challenges. Genetic and environmental factors leading to major depression are expressed in neural structure and function. Volumetric decreases in gray matter have been demonstrated in corticolimbic circuits involved in emotion regulation. MR imaging observable abnormalities reflect cytoarchitectonic alterations within a local neuroendocrine milieu with systemic effects. Multivariate pattern analysis offers the potential to identify the neurobiological subtypes and predictors of clinical outcome. It is essential to characterize disease heterogeneity by incorporating data-driven inductive and symptom-based deductive approaches in an iterative process.

Indexed as

Neuronal PlasticityBiomarkersEmotional RegulationGray MatterGyrus CinguliHumansMagnetic Resonance ImagingMajor Depressive DisorderNeuroimagingPrognosisBiomarkersAnterior cingulateAntidepressantHippocampusMachine learningMR imagingNeuroplasticityPsychoradiologyPsychotherapy

Identifiers

PMID31759575
PMCPMC7106506
OpenAlexW2989512708

What OpenQuestion holds

Textmetadata
LicenceTDM
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.