Evidence map›Paper›PMID 28294457›Full record

ArticleHuman brain mapping2017

Structural and functional brain network correlates of depressive symptoms in premanifest Huntington's disease.

Peter McColgan, Adeel Razi, Sarah Gregory, Kiran K Seunarine, Alexandra Durr, Raymund A C Roos, Blair R Leavitt, Rachael I Scahill, Chris A Clark, Doug R Langbehn and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. The pathobiology of depression in Huntington's disease: an unresolved puzzle.Journal of neural transmission (Vienna, Austria : 1996) · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Diffusion imaging in Huntington's disease: comprehensive review.Journal of neurology, neurosurgery, and psychiatry · 2020
    Review
  10. Review
  11. Article
  12. Review
  13. 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

13 authors at 6 institutions in 6 countries.

Peter McColganDepartment of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG, United Kingdom.
Adeel RaziWellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, WC1N 3BG, United Kingdom.
Sarah GregoryWellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, WC1N 3BG, United Kingdom.
Kiran K SeunarineDevelopmental Imaging and Biophysics Section, UCL Institute of Child Health, London, WC1N 1EH, United Kingdom.
Alexandra DurrAPHP Department of Genetics, Groupe Hospitalier Pitié-Salpêtrière, and Institut du Cerveau et de la Moelle, INSERM U1127, CNRS UMR7225, Sorbonne Universités - UPMC Université Paris VI UMR_S1127, Paris, France.
Raymund A C RoosDepartment of Neurology, Leiden University Medical Centre, 2300RC Leiden, The Netherlands.
Blair R LeavittCentre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, 950 West 28th Avenue, Vancouver, British Columbia, V5Z 4H4, Canada.
Rachael I ScahillDepartment of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG, United Kingdom.
Chris A ClarkDevelopmental Imaging and Biophysics Section, UCL Institute of Child Health, London, WC1N 1EH, United Kingdom.
Doug R LangbehnDepartment of Biostatistics, University of Iowa, Iowa City, Iowa.
Geraint ReesWellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, WC1N 3BG, United Kingdom.
Sarah J TabriziDepartment of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG, United Kingdom.
Track On-HD Investigators
University College London · GBWellcome Centre for Human Neuroimaging · GBCentre National de la Recherche Scientifique · FRLeiden University Medical Center · NLUniversity of British Columbia · CAUniversity of Iowa · US

Funding

Medical Research Council MR/L012936/1Wellcome Trust 200181/Z/15/Z
6 · The paper itself

Abstract

Depression is common in premanifest Huntington's disease (preHD) and results in significant morbidity. We sought to examine how variations in structural and functional brain networks relate to depressive symptoms in premanifest HD and healthy controls. Brain networks were constructed using diffusion tractography (70 preHD and 81 controls) and resting state fMRI (92 preHD and 94 controls) data. A sub-network associated with depression was identified in a data-driven fashion and network-based statistics was used to investigate which specific connections correlated with depression scores. A replication analysis was then performed using data from a separate study. Correlations between depressive symptoms with increased functional connectivity and decreased structural connectivity were seen for connections in the default mode network (DMN) and basal ganglia in preHD. This study reveals specific connections in the DMN and basal ganglia that are associated with depressive symptoms in preHD. Hum Brain Mapp 38:2819-2829, 2017. © 2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.

Indexed as

Brain MappingApathyBrainCohort StudiesDepressive DisorderFemaleHumansHuntington DiseaseImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNeural PathwaysOxygenPsychiatric Status Rating ScalesOxygenbrain networkdepressiondiffusion tractographyfunctional MRIHuntington's disease

Identifiers

PMID28294457
PMCPMC5434856
OpenAlexW2601254520

What OpenQuestion 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 OpenQuestion graph.