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Dynamic functional connectivity: History & Regions

Dynamic functional connectivity (DFC) refers to the observed phenomenon that functional connectivity changes over a short time. Dynamic functional connectivity is a recent expansion on traditional functional connectivity analysis which typically assumes that functional networks are static in time. DFC is related to a variety of different neurological…

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Dynamic functional connectivity topic overview

The analysis highlights History and Regions as prominent areas in the source structure around Dynamic functional connectivity.

Related topics
20
Source areas
5
Connected nodes
25
Extracted relationships
45
Concept neighborhoods
13
Bridge connections
25

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 6 topics
Methods of analysis · 5 topics
Overview and history · 5 topics
Clinical relevance · 3 topics
Physiological evidence · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Overview and history

Methods of analysis

Physiological evidence

Clinical relevance

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Dynamic functional connectivity connects Entity context

The extracted context around Dynamic functional connectivity shows recurring relationship patterns in the source. For example, Dynamic functional connectivity → At, D1, Dynamic Network Connectivity, For, HCN, KCNQ2, PKA-calcium, Single-unit, SK, Such, The, These, Ts Another extracted example is Dynamic functional connectivity → Battaglia, Because, DFC, In, MRI, Noise, Several, Since, Some, The, This. Use these groups to spot repeated connection types before inspecting the individual relationships.

Dynamic functional connectivity

Top relations

related to Neuronal mechanisms · 13
Dynamic functional connectivity → At, D1, Dynamic Network Connectivity, For, HCN, KCNQ2, PKA-calcium, Single-unit, SK, Such, The, These, Ts
related to Controversy and limitations · 11
Dynamic functional connectivity → Battaglia, Because, DFC, In, MRI, Noise, Several, Since, Some, The, This
related to Significant findings from DFC · 9
Dynamic functional connectivity → Analysis, Because DFC, Connectivity, DFC, Finally, In, Many, Steady, These
is a · 1
Dynamic functional connectivity → recent expansion on traditional functional connectivity analysis which typically assumes that functional networks are static in time

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

fmri dfc functional analysis connectivity brain used related time data changes dynamic different temporal networks sliding window shown activity state

Dynamic functional connectivity relationships Subject–Predicate–Object triples

TTTA extracted 45 structured relationships around Dynamic functional connectivity. Examples in this analysis include Dynamic functional connectivity → is a → recent expansion on traditional functional connectivity analysis which typically assumes that functional networks are static in time and mental tasks → instance of → Several studies in the mid-2000s examined the changes in FC that were related to a variety of different causes. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Dynamic functional connectivityis arecent expansion on traditional functional connectivity analysis which typically assumes that functional networks are static in time0.90text
mental tasksinstance ofSeveral studies in the mid-2000s examined the changes in FC that were related to a variety of different causes0.80text
sleepinstance ofSeveral studies in the mid-2000s examined the changes in FC that were related to a variety of different causes0.80text
and learninginstance ofSeveral studies in the mid-2000s examined the changes in FC that were related to a variety of different causes0.80text
DFC activation pattern analysis.Neuronal mechanismsSingle-unit recording were used in order to explore the extentinstance ofThis observation is consistent with the results seen in other DFC studies0.80text
strengthinstance ofThis observation is consistent with the results seen in other DFC studies0.80text
plasticity of functional connectivity between individual cortical neurons in catsinstance ofThis observation is consistent with the results seen in other DFC studies0.80text
monkeysinstance ofThis observation is consistent with the results seen in other DFC studies0.80text
DFC activation pattern analysisinstance ofThis observation is consistent with the results seen in other DFC studies0.80text
depressioninstance ofStatic functional connectivity has been shown to be significantly related to a variety of diseases0.80text
schizophreniainstance ofStatic functional connectivity has been shown to be significantly related to a variety of diseases0.80text
and Alzheimer's diseaseinstance ofStatic functional connectivity has been shown to be significantly related to a variety of diseases0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Dynamic functional connectivity bring nearby vocabulary together. In this analysis, examples include Connectivity, Dynamic and Functional. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Dynamic functional connectivity
    • Connectivity
    • Dynamic
    • Functional
    • Dfc
    • Networks
    • State
    • Temporal
    • Characteristics
    • Analysis
    • Brain
    • Data
    • Network
  • dynamic functional connectivity
    • Functional
    • Connectivity
    • Dynamic
    • State
    • Temporal
    • Dfc
    • Methods
    • Networks
    • Shown
    • Brain
    • Regions
    • Fmri
  • functional connectivity
    • Functional
    • Dynamic
    • State
    • Temporal
    • Methods
    • Networks
    • Shown
    • Brain
    • Regions
    • Fmri
    • Typically
    • Related
  • fmri
    • Data
    • Temporal
    • Neural
    • Used
    • Correlation
    • Patterns
    • Activity
    • Observed
    • Functional
    • May
    • Studies
    • Network
  • functional neuroimaging
    • Methods
    • Networks
    • State
    • Brain
    • Temporal
    • Typically
    • Related
    • Analysis
    • Shown
    • Fmri
    • Data
    • Used
  • structural connectivity
    • Functional
    • Dynamic
    • State
    • Temporal
    • Shown
    • Methods
    • Regions
    • Fmri
    • Brain
    • Network
    • Networks
    • Time
  • resting state fmri
    • Temporal
    • Data
    • One
    • Network
    • Neural
    • Used
    • Correlation
    • Patterns
    • Spatial
    • Activity
    • Observed
    • Functional
  • time-frequency analysis
    • Sliding
    • Window
    • Dfc
    • Brain
    • Used
    • Networks
    • Different
    • Time
    • One
    • Functional
    • Dynamic
    • Shown

Connections between topic areas Semantic bridges

For Dynamic functional connectivity, one of the stronger structural bridges in this analysis connects Dynamic functional connectivity with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Dynamic functional connectivity — Overview · splits 19 ⟂ 7
Dynamic functional connectivity — Overview and history · splits 20 ⟂ 6
Dynamic functional connectivity — Methods of analysis · splits 20 ⟂ 6
Dynamic functional connectivity — Clinical relevance · splits 22 ⟂ 4

Map overview Semantic statistics

Dynamic functional connectivity

Nodes26
Edges25
Triples45
Avg. degree1.92
Density0.076923
Components1

Source & methodology

TTTA analyzes the structure around Dynamic functional connectivity to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Dynamic functional connectivity · EN edition · Analysis: TopicsToTalkAbout

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