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

Traits, Mood, and Subjective Wellbeing01:22

Traits, Mood, and Subjective Wellbeing

308
Subjective well-being (SWB) refers to an individual's self-evaluation of their overall life satisfaction, happiness, and fulfillment. This multifaceted construct is typically assessed by analyzing the balance of positive and negative emotions alongside perceptions of life satisfaction. Personality traits such as neuroticism and extraversion are strongly associated with variations in SWB, offering critical insights into the underlying mechanisms of emotional well-being.
Neuroticism and...
308
What is a Mode?01:07

What is a Mode?

25.1K
The mode is one of the commonly used measures of a central tendency. It is defined as the most frequent value in a data set.
There can be more than one mode in a data set if multiple values have the same highest frequency. For instance, suppose that the Statistics exam scores of 20 students are: 50; 53; 59; 59; 63; 63; 72; 72; 72; 72; 72; 76; 78; 81; 83; 84; 84; 84; 90; 93. Here, the mode is 72, as it occurs most frequently, five times.
A data set with two modes is called bimodal. For example,...
25.1K
Ventilatory Modes01:14

Ventilatory Modes

1.4K
Mechanical ventilators are life-saving devices that support or replace spontaneous breathing. They deliver breaths to patients through varying methods known as ventilator modes. Understanding these modes is critical for healthcare providers managing patients with respiratory failure.
There are three ventilatory modes: full support, partial support, and spontaneous. These are described below.
Full Support Modes
Full support modes include controlled mechanical ventilation, continuous mandatory...
1.4K
Intrinsically Disordered Proteins02:18

Intrinsically Disordered Proteins

19.3K
Intrinsically disordered proteins are a group of proteins that do not fold into specific three-dimensional structures. Their structural flexibility allows them to complement ordered proteins to perform functions that are inaccessible to rigid structures. They are more common in eukaryotes than prokaryotes and may either be exclusively intrinsically disordered or hybrid proteins, consisting of a mix of ordered and disordered regions. The absence of a rigid structure in these proteins can be...
19.3K
MOSFET: Enhancement Mode01:22

MOSFET: Enhancement Mode

807
Enhancement-mode MOSFETs are pivotal components in electronics, distinguished by their capacity to act as highly efficient switches. They are part of the larger family of metal-oxide Semiconductor Field-Effect Transistors (MOSFETs). They are available in two types: p-channel and n-channel, each tailored to specific polarity operations.
In their basic form, enhancement-mode MOSFETs are typically non-conductive when the gate-source voltage (Vgs) is zero. This default 'off' state means no...
807
Modes of Standing Waves: II01:04

Modes of Standing Waves: II

1.6K
The starting point for expressing the modes of standing waves is understanding the boundary conditions that the waves must follow. The boundary conditions are derived from the physical understanding of how the standing waves are sustained, that is, how the vibrating particles of the medium behave at the boundaries imposed on them.
For a tube open at one end and closed at the other filled with air, the modes are such that there is always an antinode at the open end and a node at the closed end....
1.6K

You might also read

Related Articles

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

Sort by
Same author

The GALENOS approach to triangulating evidence: a structured approach for integrating information from human and animal studies.

BMC medical research methodology·2026
Same author

The nexus between anxiety and depression.

The British journal of psychiatry : the journal of mental science·2026
Same author

Breaking down the ADHD construct to build a valid diagnosis.

Acta neuropsychiatrica·2026
Same author

Lithium: challenges of being king.

The British journal of psychiatry : the journal of mental science·2026
Same author

Gordon's penchant for ginning up controversy: A fetish for argumentation?

Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists·2026
Same author

Automatically detecting trends and open questions from mental health publications: a Wellcome-funded GALENOS project.

BMJ mental health·2026
Same journal

Distinct and common subcortical functional connectivity revealed across three major psychiatric disorders - CORRIGENDUM.

Psychological medicine·2026
Same journal

Adversity as the key feature: neuroimaging profiles of subtypes from multiple depression risk factors.

Psychological medicine·2026
Same journal

Sorting the mind: cognitive enhancement through transcutaneous auricular vagus nerve stimulation: a systematic review and meta-analysis.

Psychological medicine·2026
Same journal

Depression and aging: insights from brain age prediction models.

Psychological medicine·2026
Same journal

An integrative NLP framework identifies multilevel linguistic phenotypes of schizophrenia across tasks.

Psychological medicine·2026
Same journal

Predicting functional remission after antipsychotic discontinuation: a real-world study in schizophrenia - ERRATUM.

Psychological medicine·2026
See all related articles

Related Experiment Video

Updated: Jan 24, 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

15.7K

Default mode dysfunction underpins suicidal activity in mood disorders.

Gin S Malhi1,2,3,4, Pritha Das1,2,3,4, Tim Outhred1,2,3,4

  • 1Academic Department of Psychiatry, Northern Sydney Local Health District, St Leonards, NSW2065, Australia.

Psychological Medicine
|May 31, 2019
PubMed
Summary
This summary is machine-generated.

Neuroimaging reveals distinct brain activity patterns in depressed patients who attempted suicide. Differences in Default Mode Network (DMN) and Basal Ganglia (BGN) connectivity may underlie suicidal behavior in mood disorders.

Keywords:
DepressionfMRIindependent component analysismood disordersresting statesuicide

More Related Videos

Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network
11:02

Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network

Published on: December 28, 2010

13.4K
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.5K

Related Experiment Videos

Last Updated: Jan 24, 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

15.7K
Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network
11:02

Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network

Published on: December 28, 2010

13.4K
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.5K

Area of Science:

  • Neuroscience
  • Psychiatry
  • Neuroimaging

Background:

  • Suicide is a significant risk associated with mood disorders, particularly depression.
  • Understanding the neurobiological underpinnings of suicidal activity is crucial for developing effective prevention strategies.

Purpose of the Study:

  • To investigate neural activity differences in the brain using resting-state functional MRI.
  • To identify variations in functional connectivity within and between cognitive networks in depressed patients with and without a history of suicide attempts.

Main Methods:

  • Resting-state functional MRI (fMRI) was employed.
  • Seventy-nine adult depressed mood disorder patients (MDP) and 66 healthy controls (HC) were studied.
  • Functional connectivity was analyzed within and between the Executive Control Network (ECN), Default Mode Network (DMN), Salience Network (SN), and Basal Ganglia Network (BGN).

Main Results:

  • Patients exhibited altered DMN and BGN activity compared to controls.
  • Suicide attempters (SA) showed increased posterior DMN activity linked to recent suicidal behavior.
  • Non-attempters (NA) displayed reduced BGN activity and decreased dorso-medial DMN spectral power associated with lifelong suicidal ideation.

Conclusions:

  • Altered DMN engagement suggests potential impairments in self-referential processing in suicidal patients.
  • Differential BGN and DMN co-activation patterns may indicate altered cognitive flexibility in individuals who have attempted suicide.
  • These findings offer insights into the neural basis of suicidal activity in mood disorders.