Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Co-expression-based models improve eQTL predictions for transcriptome-wide association studies and highlight new schizophrenia-associated genes.

Nature genetics·2026
Same author

Exploration of the genetic neuroinflammatory environment in the human midcingulate cortex in Huntington's disease.

Communications medicine·2026
Same author

The brain network underlying social participation: a multimodal, data-driven investigation.

Brain imaging and behavior·2026
Same author

Individualized cortical gradient and network topology reveal symptom-linked disruptions and neurobiological subtypes in schizophrenia.

medRxiv : the preprint server for health sciences·2026
Same author

Development-related gene expression disruption in the human midcingulate cortex in Huntington's disease.

Journal of Huntington's disease·2026
Same author

Examining the Relationship Between Physical Neglect, Inflammation and Anterior Cingulate Activation During Facial Emotion Recognition in Patients With Schizophrenia and Healthy Controls: A Functional Magnetic Resonance Imaging Study.

The European journal of neuroscience·2026

Related Experiment Video

Updated: May 4, 2026

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

14.1K

Effects of MIR137 on fronto-amygdala functional connectivity.

Omar Mothersill1, Derek W Morris1, Sinead Kelly1

  • 1Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity College Dublin, Ireland; Trinity College Institute for Neuroscience, Trinity College Dublin, Ireland.

Neuroimage
|December 24, 2013
PubMed
Summary
This summary is machine-generated.

The MIR137 gene variant rs1625579 impacts brain connectivity. Homozygous carriers show altered fronto-amygdala functional connectivity, suggesting a role in psychosis with prominent affective symptoms.

Keywords:
AmygdalaEmotionFunctional connectivityMIR137Schizophrenia

More Related Videos

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

8.9K
Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions
10:45

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

Published on: July 6, 2011

11.2K

Related Experiment Videos

Last Updated: May 4, 2026

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

14.1K
Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

8.9K
Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions
10:45

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

Published on: July 6, 2011

11.2K

Area of Science:

  • Neuroscience
  • Genetics
  • Psychiatry

Background:

  • MicroRNA-137 (MIR137) is crucial for brain development, regulating neuronal maturation and adult neurogenesis.
  • A common MIR137 genetic variant (rs1625579) is associated with schizophrenia and altered amygdala activation in at-risk individuals.

Purpose of the Study:

  • To investigate the effects of MIR137 genotype on neuronal activity during face processing.
  • To examine how the MIR137 rs1625579 risk allele influences brain function.
  • To explore MIR137's role in fronto-amygdala connectivity.

Main Methods:

  • fMRI was used to assess brain activity in 81 healthy participants.
  • Participants were grouped as carriers or non-carriers of the MIR137 rs1625579 risk allele.
  • Functional connectivity was analyzed using the amygdala as a seed region during a face processing task.

Main Results:

  • Homozygous carriers of the rs1625579 risk allele exhibited increased functional connectivity between the right amygdala and frontal regions.
  • Affected frontal regions include the cingulate and prefrontal cortex, critical for emotion processing and regulation.

Conclusions:

  • The rs1625579 variant significantly impacts fronto-amygdala functional connectivity.
  • Findings support MIR137's potential contribution to psychosis, particularly forms with prominent affective symptoms.