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

Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Chromatin Structure Regulates pre-mRNA Processing02:41

Chromatin Structure Regulates pre-mRNA Processing

8.2K
In eukaryotic cells, nascent mRNA transcripts need to undergo many post-transcriptional modifications to reach the cell cytoplasm and translate into functional proteins. For a long time, transcription and pre-mRNA processing were considered two independent events that occur sequentially in the cell. However, it has now been well established that transcription and pre-mRNA processing are two simultaneous processes that are precisely regulated inside the cell.
The chromatin structure, especially...
8.2K
Law of Segregation01:49

Law of Segregation

78.2K
When crossing pea plants, Mendel noticed that one of the parental traits would sometimes disappear in the first generation of offspring, called the F1 generation, and could reappear in the next generation (F2). He concluded that one of the traits must be dominant over the other, thereby causing masking of one trait in the F1 generation. When he crossed the F1 plants, he found that 75% of the offspring in the F2 generation had the dominant phenotype, while 25% had the recessive phenotype.
78.2K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

46.0K
VSEPR Theory for Determination of Electron Pair Geometries
46.0K
Segregation in Fresh Concrete01:16

Segregation in Fresh Concrete

592
Segregation in fresh concrete is a phenomenon where the components of the concrete mix separate, leading to uneven distribution and compromised structural integrity. This separation typically occurs when concrete is subjected to excessive horizontal movement within forms, or when it is dropped from considerable heights or forced through narrow, winding paths. As a result, heavier coarse aggregate particles settle at the bottom, while lighter, finer materials such as cement and water rise to the...
592
Self-Help Support Groups01:28

Self-Help Support Groups

359
Self-help support groups are voluntary, community-based organizations that provide a platform for individuals with shared concerns to exchange support, insights, and practical strategies for coping with life challenges. Typically led by group members or paraprofessionals, these groups form a cornerstone of mental health care, especially in reaching populations that are underserved by traditional healthcare systems.
Accessibility and Cost-Effectiveness
One of the primary strengths of self-help...
359

You might also read

Related Articles

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

Sort by
Same author

Regional, functional and transcriptomic decoding of multidimensional brain structure alterations in obsessive-compulsive disorder.

Nature communications·2026
Same author

Brain Morphology Mediators of the Association of Childhood Trauma With Bipolar Disorder: An International ENIGMA Bipolar Disorder Working Group Study.

JAMA psychiatry·2026
Same author

Cerebral cortical alterations in adolescent early-onset psychosis: a surface-based morphometry mega-analysis.

Molecular psychiatry·2026
Same author

Toward trustworthy clinical AI for obsessive-compulsive disorder: reliability, generalizability, and interpretability of a transformer model across the ENIGMA-OCD consortium.

medRxiv : the preprint server for health sciences·2026
Same author

Individualized cortical gradient and network topology reveal symptom-linked disruptions and neurobiological subtypes in schizophrenia.

medRxiv : the preprint server for health sciences·2026
Same author

Disrupted Higher-Order Topology in OCD Brain Networks Revealed by Hodge Laplacian - an ENIGMA Study.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Feb 9, 2026

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

Segregation of Brain Structural Networks Supports Spatio-Temporal Predictive Processing.

Valentina Ciullo1,2, Daniela Vecchio1,3, Tommaso Gili1,4

  • 1Neuropsychiatry Laboratory, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy.

Frontiers in Human Neuroscience
|June 9, 2018
PubMed
Summary

Brain connectivity patterns reveal distinct networks for temporal and spatial predictions. Specific structural connections support our ability to anticipate when and where stimuli appear, crucial for updating contextual information.

Keywords:
complex network theorydiffusion tensor imaginginsulapredictive timingschizophreniaspatio-temporal predictive performancestructural connectivity

More Related Videos

A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions
09:09

A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions

Published on: November 23, 2015

9.1K
Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data
09:09

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

Published on: December 17, 2015

10.2K

Related Experiment Videos

Last Updated: Feb 9, 2026

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
A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions
09:09

A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions

Published on: November 23, 2015

9.1K
Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data
09:09

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

Published on: December 17, 2015

10.2K

Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Computational Neuroscience

Background:

  • Predictive processing is essential for timely inferences and context updating.
  • The neural basis of inferring predictive relationships between events remains debated.
  • Understanding brain connectivity for spatio-temporal expectations is crucial.

Purpose of the Study:

  • To investigate brain structural connectivity properties associated with spatio-temporal predictive performance.
  • To identify neural networks underlying temporal and spatial expectation generation.
  • To explore the relationship between brain network centrality/segregation and predictive abilities.

Main Methods:

  • Graph theoretical analysis of structural connectivity data from 29 healthy subjects.
  • Participants performed a visual detection task with cued spatial and temporal expectations.
  • Whole-brain tractography and cortico-subcortical parcellation were used to calculate connectivity matrices and network measures.

Main Results:

  • Distinct structural connectivity networks support temporal and spatial prediction.
  • Centrality measures in a subcortical-fronto-parietal-occipital network correlated with short-interval temporal prediction.
  • Functional segregation in specific frontal and subcortical regions related to explicit temporal orienting.
  • Inferior parietal lobule centrality linked to explicit temporal orienting and attentional re-orienting.

Conclusions:

  • Brain structural connectivity patterns are domain-specific for temporal and spatial predictions.
  • Specific network properties, including centrality and segregation, are critical for generating and updating temporal expectancies.
  • Findings advance predictive processing models by identifying neural correlates of temporal expectation generation and adaptation to contextual violations.