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Related Concept Videos

Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
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Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
Depression: Overview01:18

Depression: Overview

Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
Self-Help Support Groups01:28

Self-Help Support Groups

Self-help support groups are voluntary, community-based organizations that provide a platform for individuals with shared concerns to exchange support, insights, and practical strategies for coping with life challenges. Typically led by group members or paraprofessionals, these groups form a cornerstone of mental health care, especially in reaching populations that are underserved by traditional healthcare systems.
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Long-term Depression01:05

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Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
Long-term Depression01:03

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Calcium Ion Concentration Mechanism
If over time, all...
Depressive Disorders: MDD and Dysthymia01:27

Depressive Disorders: MDD and Dysthymia

Depressive disorders are a group of mental health conditions characterized by pervasive feelings of sadness, diminished pleasure in life, and a significant impact on daily functioning. These conditions are most prevalent in individuals during their 30s and affect women at twice the rate of men. Contrary to popular belief, younger individuals are generally more susceptible to these disorders than older adults. Two key types of depressive disorders include Major Depressive Disorder (MDD) and...

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Related Experiment Video

Updated: Jun 10, 2026

Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression
08:42

Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression

Published on: May 19, 2015

e-Infrastructures supporting research into depression, self-harm and suicide.

S McCafferty1, T Doherty, R O Sinnott

  • 1National e-Science Centre, University of Glasgow, Glasgow G12 8QQ, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|July 21, 2010
PubMed
Summary
This summary is machine-generated.

This study explores enhancing research on depression, self-harm, and suicide using e-Science. It addresses challenges in managing distributed data for sensitive mental health research.

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Last Updated: Jun 10, 2026

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08:42

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Published on: February 22, 2018

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Published on: May 10, 2022

Area of Science:

  • Social Sciences
  • Computer Science
  • Mental Health Research

Background:

  • Research on depression, self-harm, and suicide is crucial for public health.
  • Existing research infrastructures face challenges in managing distributed and heterogeneous data.
  • The Economic and Social Research Council (ESRC)-funded Data Management through e-Social Sciences (DAMES) project aims to address these issues.

Purpose of the Study:

  • To investigate how e-Science infrastructures and techniques can enhance research on depression, self-harm, and suicide.
  • To explore the challenges in supporting research infrastructures for sensitive data.
  • To describe the necessary distributed and heterogeneous datasets for such research.

Main Methods:

  • Exploration of challenges in supporting research infrastructures.
  • Description of distributed and heterogeneous datasets.
  • Application and demonstration of an advanced user and security-driven infrastructure.

Main Results:

  • Identification of key challenges in data management for sensitive mental health research.
  • Characterization of distributed and heterogeneous datasets required.
  • Demonstration of a functional user and security-driven infrastructure tailored for this research.

Conclusions:

  • Advanced user and security-driven infrastructures are essential for supporting sensitive mental health research.
  • Addressing data management challenges through e-Science can enhance research on depression, self-harm, and suicide.
  • The developed infrastructure provides a robust solution for provisioning distributed and heterogeneous datasets.