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Related Concept Videos

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,...
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Long-term Depression

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

Long-term Depression

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.
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The Scientific Method02:40

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Related Experiment Video

Updated: May 20, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

Depression detectives: piloting a methodology for online co-produced research.

Sophia Collins1, Christine Kupfer2, Stephanie Organ3

  • 1Science is People Ltd, Lauder, Berwickshire, Scotland, UK. sophia.e.collins@gmail.com.

Research Involvement and Engagement
|May 19, 2026
PubMed
Summary

Co-production in mental health research, like the Depression Detectives project, enhances understanding and applicability of findings. Integrating lived experiences with big data analysis offers more holistic depression care insights.

Keywords:
Big dataCitizen scienceCo-creationCo-productionData scienceDepressionGeneral practitionersMental healthPatient and public involvementPatient involvement

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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Area of Science:

  • Mental Health Research
  • Data Science
  • Public Health

Background:

  • Incorporating lived experiences into research can improve depth, relevance, and equity.
  • Data scientists have been slow to adopt this approach.
  • The "Depression Detectives" (DD) project connected Big Data researchers with individuals with lived experience of depression.

Purpose of the Study:

  • To bridge the gap between data science and lived experience in depression research.
  • To explore health-seeking behaviors and under-reporting of depressive episodes.
  • To evaluate the co-production process and participant experiences.

Main Methods:

  • A co-production project was conducted in a private Facebook group (Feb-Sep 2021).
  • Seventy individuals with depression and thirty researchers participated.
  • Methods included surveys, focus groups, and analysis of UK Biobank data.

Main Results:

  • 67% of individuals with depression in UK Biobank had no GP record; 84% of DD participants reported visiting their GP for half or fewer episodes.
  • Barriers to reporting included stigma, healthcare dissatisfaction, and preference for non-medical interventions.
  • Participants found the research process rewarding and quasi-therapeutic.

Conclusions:

  • Co-production enhances mental health research by integrating lived experiences with big data.
  • Findings better reflect real-life experiences, improving personalized mental health care.
  • Advocates for holistic depression treatments and inclusive policy development.