Default Mode Network
Default Mode Network - Related Videos
12:09
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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Cited by 35 •
2014
The Default Mode Network (DMN) in Temporal Lobe Epilepsy (TLE) is analyzed in the resting state of the brain using seed-based functional connectivity MRI (fcMRI).
11:02
Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network
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Cited by 17 •
2010
In this article, we examine the methodology and considerations relevant to the combination of TMS and fMRI to examine the effects of brain stimulation on the default network.
10:43
Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
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Cited by 12 •
2014
This protocol describes the complementary neuroimaging techniques of resting state structural connectivity, task-induced deactivation, and structural connectivity analyses to examine the default network in post-traumatic stress disorder. The use of synergistic methods could potentially lead to improved diagnostics and assessments of severity, outcome, and other relevant clinical factors.
14:34
Surgical Protocol for a Large, Resealable Cranial Window Enabling Longitudinal, Multi-Modal Electrophysiology Recordings of Mouse Default Mode Network
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2026
This protocol describes a two-phase surgical method to create a large, resealable, dura-sparing cranial window in mice. This technique enables chronic, multi-modal electrophysiological recordings from distributed, deep-brain networks, such as the Default Mode Network, over several weeks.
01:07
What is a Mode?
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2023
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,...
FAQs
Two complementary patterns help explain DMN findings: internally oriented states tend to coincide with stronger network activity, whereas demanding external tasks often coincide with reduced activity. This contrast does not mean the network simply switches on or off. Rather, it provides a way to examine how attention is allocated between self-generated thought and information supplied by the environment.
Connectivity adds a coordination perspective to activity measurements. Researchers examine whether DMN regions show related patterns over time, then consider how that coordination changes across rest, task performance, or psychological states. This is important because a change in connectivity can reveal altered coordination within the network even when activity in a single region does not fully explain the observed mental process.
Mind-wandering, autobiographical memory, and future imagination are related but distinct forms of internally directed processing. Studying them together allows psychologists to ask whether the DMN supports a common organization of personal information across remembered experiences and imagined possibilities. Comparing these states with externally focused attention also helps clarify when internal thought competes with, or is coordinated with, task demands.
An investigation can compare brain activity during rest with activity during a demanding, externally oriented task. Neuroimaging measurements are then examined for DMN activity patterns and connectivity, while the psychological task or mental state supplies interpretive context. This design helps researchers relate large-scale brain-network behavior to attention, self-related processing, memory, or other targeted psychological functions.
Psychologists study the DMN when a question concerns more than observable task performance. Its activity and connectivity provide a neural context for examining self-related processing, social cognition, attention, autobiographical memory, and future-oriented thought. Because these domains involve internally organized mental activity, the network offers a way to connect subjective or cognitive processes with large-scale brain organization.
Researchers examine altered DMN activity or connectivity in conditions involving attention, mood, memory, and conscious experience. The network provides a way to investigate whether differences in large-scale brain organization accompany changes in these psychological domains. Comparing patterns across people or experimental states can help relate altered experience to network function without treating DMN measures as a complete explanation on their own.