Evidence map›Paper›PMID 32044686›Full record

ArticleJournal of the neurological sciences2020

Hormone levels are related to functional compensation in prolactinomas: A resting-state fMRI study.

Shun Yao, Pan Lin, Matthew Vera, Farhana Akter, Ru-Yuan Zhang, Ailiang Zeng, Alexandra J Golby, Guozheng Xu, Yanmei Tie, Jian Song

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the neurological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Multimodal Neuroimaging Computing: Basics and Applications in Neurosurgery.Advances in experimental medicine and biology · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. 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

10 authors at 6 institutions in 2 countries.

Shun YaoCenter for Pituitary Tumor Surgery, Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Department of Neurosurgery, The General Hospital of Chinese PLA Central Theater Command, Southern Medical University, Wuhan, China; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, MA, USA.
Pan LinDepartment of Psychology, Cognition and Human Behavior Key Laboratory of Hunan Province, Hunan Normal University, Changsha, China.
Matthew VeraDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, MA, USA.
Farhana AkterFaculty of Arts and Sciences, Harvard University, Cambridge, MA, USA; Massachussets General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.
Ru-Yuan ZhangCenter for Magnetic Resonance Research, Department of Neuroscience, University of Minnesota at Twin Cities, MN, USA.
Ailiang ZengDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, MA, USA.
Alexandra J GolbyDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MA, USA.
Guozheng XuDepartment of Neurosurgery, The General Hospital of Chinese PLA Central Theater Command, Southern Medical University, Wuhan, China.
Yanmei TieDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, MA, USA. Electronic address: ytie@bwh.harvard.edu.
Jian SongDepartment of Neurosurgery, The General Hospital of Chinese PLA Central Theater Command, Southern Medical University, Wuhan, China. Electronic address: docsongjian@yahoo.com.
Brigham and Women's Hospital · USCentral Hospital of Wuhan · CNHarvard University · USHunan Normal University · CNSouthern Medical University · CNUniversity of Minnesota · US

Funding

Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patientsP41EB015898 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI TEMPANY, CLARE M · 2012 to 2021
$18.9M
Resting-state fMRI for Language Mapping in Brain Tumor PatientsR21CA198740 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLBY, ALEXANDRA J, TIE, YANMEI · 2015 to 2016
$425k
NCI NIH HHS R21 CA198740NIBIB NIH HHS P41 EB015898
6 · The paper itself

Abstract

Prolactinomas are tumors of the pituitary gland, which overproduces prolactin leading to dramatic fluctuations of endogenous hormone levels throughout the body. While it is not fully understood how endogenous hormone disorders affect a patient's brain, it is well known that fluctuating hormone levels can have negative neuropsychological effects. Using resting-state functional magnetic resonance imaging (rs-fMRI), we investigated whole-brain functional connectivity (FC) and its relationship with hormone levels in prolactinomas. By performing seed-based FC analyses, we compared FC metrics between 33 prolactinoma patients and 31 healthy controls matched for age, sex, and hand dominance. We then carried out a partial correlation analysis to examine the relationship between FC metrics and hormone levels. Compared to healthy controls, prolactinoma patients showed significantly increased thalamocortical and cerebellar-cerebral FC. Endogenous hormone levels were also positively correlated with increased FC metrics, and these hormone-FC relationships exhibited sex differences in prolactinoma patients. Our study is the first to reveal altered FC patterns in prolactinomas and to quantify the hormone-FC relationships. These results indicate the importance of endogenous hormones on functional compensation of the brain in patients with prolactinomas.

Indexed as

Pituitary NeoplasmsProlactinomaBrainFemaleHormonesHumansMagnetic Resonance ImagingMaleHormonesBrain compensationFunctional connectivityHormone levelsPituitary tumorProlactinomasResting-state fMRI

Identifiers

PMID32044686
PMCPMC7096250
OpenAlexW3003889104

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.