Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Depression: Overview

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,...

Depressive Disorders: Etiology

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.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...

Depressive Disorders: MDD and Dysthymia

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...

Long-term Depression

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.
Calcium Ion Concentration Mechanism
If over time, all...

Long-term Depression

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.

G-protein Coupled Receptors

G-protein Coupled Receptors

G-protein coupled receptors are ligand binding receptors that indirectly affect changes in the cell. The actual receptor is a single polypeptide that transverses the cell membrane seven times creating intracellular and extracellular loops. The extracellular loops create a ligand specific pocket which binds to neurotransmitters or hormones. The intracellular loops holds onto the G-protein.

You might also read

Related Articles

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

Sort by

Same author

Anomalous DC Hall response in noncentrosymmetric tilted Weyl semimetals.

Journal of physics. Condensed matter : an Institute of Physics journal·2018

Same author

Optical response in Weyl semimetal in model with gapped Dirac phase.

Journal of physics. Condensed matter : an Institute of Physics journal·2017

Same author

The concept of bisexuality and psychiatry.

Indian journal of psychiatry·2011

Same author

Thyroid function in different psychiatric disorders.

Indian journal of psychiatry·2011

Same author

An opinion survey about the causes and treatment of mental illness and the social acceptance of the mentally ill patients.

Indian journal of psychiatry·2011

Same author

Mental morbidity and urban life-an epidemiological study.

Indian journal of psychiatry·2011

Search research articles

Related Experiment Video

Updated: May 30, 2026

A New Method for Inducing a Depression-Like Behavior in Rats

A New Method for Inducing a Depression-Like Behavior in Rats

Published on: February 22, 2018

Prognosis of depression.

S Sachdev Ajmany¹, D N Nandi, S P Mukherjee

¹Lecturer in Psychology, Gokhale Memorial Girls' College, Calcutta.

Indian Journal of Psychiatry

|August 18, 2011

Summary

Predicting depression prognosis is complex. While some factors like symptoms and personal history show links to improvement, linear regression models struggle to accurately predict outcomes, suggesting a need for broader assessment factors.

Area of Science:

Psychiatry
Clinical Psychology

Background:

Depression prognosis is influenced by various factors.
Accurate prediction of treatment response remains a challenge.

Purpose of the Study:

To investigate the relationship between specific symptoms, personal history, Rorschach measures, neuroticism, and ego strength with depression prognosis.
To evaluate the predictive accuracy of linear regression models in forecasting depression improvement.

Main Methods:

Studied 60 cases, analyzing 60 items for association with improvement.
Employed multiple regression analysis using personal/family history and Rorschach measures.
Validated regression models on independent case sets to assess predictive ability.

Main Results:

More Related Videos

Network Pharmacology and Validation of the Antidepressant Mechanisms of Qiangzhifang in a Chronic Restraint Stress-induced Depression Rat Model

Network Pharmacology and Validation of the Antidepressant Mechanisms of Qiangzhifang in a Chronic Restraint Stress-induced Depression Rat Model

Published on: June 6, 2025

Related Experiment Videos

Last Updated: May 30, 2026

A New Method for Inducing a Depression-Like Behavior in Rats

A New Method for Inducing a Depression-Like Behavior in Rats

Published on: February 22, 2018

Network Pharmacology and Validation of the Antidepressant Mechanisms of Qiangzhifang in a Chronic Restraint Stress-induced Depression Rat Model

Network Pharmacology and Validation of the Antidepressant Mechanisms of Qiangzhifang in a Chronic Restraint Stress-induced Depression Rat Model

Published on: June 6, 2025

Eleven out of 60 studied items showed a statistically significant association with depression improvement.
Multiple regression models, including Rorschach measures, demonstrated considerable differences between observed and predicted improvement values.
Models using only history or a reduced set of key characteristics also failed to show significant association between observed and predicted outcomes.

Conclusions:

Linear regression models, based on the studied variables, are insufficient for explaining differences in depression prognosis.
Future research should consider incorporating additional historical and social interaction factors for more accurate prediction of depression outcomes.