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

Association Areas of the Cortex

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...

¹³C NMR: ¹H–¹³C Decoupling

¹³C NMR: ¹H–¹³C Decoupling

The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...

You might also read

Related Articles

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

Sort by

Same author

Dynamic reconfiguration of subunits from the hippocampal-amygdala complex indicate patterns of psychosis vulnerability in 22q11.2 deletion syndrome.

Scientific reports·2026

Same author

Shared and Individual Resting-State MEG Network Signatures of Tinnitus Revealed by Holistic Graph Learning.

IEEE open journal of engineering in medicine and biology·2026

Same author

The microstructure-weighted human connectome: network properties and structure-function correlations across spatial scales.

bioRxiv : the preprint server for biology·2026

Same author

Appropriate Null Models for Testing the Effect of the Head Model on MEG Functional Connectivity Fingerprinting.

Brain topography·2026

Same author

A diffusion MRI-derived perivascular metric related to glymphatic-associated processes in bipolar disorder vulnerability: Multimodal correlates across emotion dysregulation patients and offspring.

Psychiatry research·2026

Same author

Spinal cord structural and functional architecture and its shared organization with the brain across the adult lifespan.

Nature communications·2026

Same journal

Lifespan Trajectories of the Brain's Functional Complexity Characterized by Multiscale Sample Entropy.

NeuroImage·2026

Same journal

Pleasant fragrance modulates dyadic social sharing of positive emotion: Sharer-centered socioemotional enhancement effect and its neural couplings.

NeuroImage·2026

Same journal

Altered Functional Hierarchical and Sequential Organization in Individuals with Schizophrenia during Auditory Processing.

NeuroImage·2026

Same journal

Mechanical Deformation Explains Distinct Neuroimaging Patterns and Etiologies in Brain Trauma.

NeuroImage·2026

Same journal

Ventral striatum temporal interference brain stimulation enhances the reward-positivity event-related potential and reduces anxiety.

NeuroImage·2026

Same journal

NeuroHarm‑Kit: An Open‑Source Toolbox for Benchmarking Deep‑Learning Harmonization of Multi‑Site T1‑Weighted MRI.

NeuroImage·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 4, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Brain structure-function coupling provides signatures for task decoding and individual fingerprinting.

Alessandra Griffa¹, Enrico Amico², Raphaël Liégeois²

¹Department of Clinical Neurosciences, Division of Neurology, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland; Center of Neuroprosthetics, Ecole Polytechnique Fédérale De Lausanne (EPFL), Institute of Bioengineering, Geneva, Switzerland.

|February 6, 2022

Summary

This summary is machine-generated.

Brain structure-function coupling effectively decodes brain states and identifies individuals. Key information for individual identification resides in specific functional signal patterns within the fronto-parietal network.

Keywords:

Decoding Fingerprinting Functional connectivity Graph signal processing Task fMRI

More Related Videos

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Published on: June 20, 2012

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

Related Experiment Videos

Last Updated: Oct 4, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Published on: June 20, 2012

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

Area of Science:

Neuroscience
Graph Signal Processing
Brain Imaging

Background:

Brain signatures are used for decoding brain states and individual identification.
Current methods do not integrate underlying brain anatomy with function.
Graph signal processing (GSP) reveals spatial gradients in structure-function coupling.

Purpose of the Study:

To investigate the specificity of structure-function coupling for distinct brain states and individuals.
To explore the role of GSP-based signal filtering and functional connectivity (FC) decomposition.

Main Methods:

Used multimodal magnetic resonance imaging (MRI) from 100 healthy subjects (Human Connectome Project).
Analyzed data during rest and seven different tasks.
Employed support vector machine classification for decoding and fingerprinting tasks.

Main Results:

Structure-function coupling measures enabled accurate classification for both task decoding and individual fingerprinting.
Frontoparietal network contributions were crucial for fingerprinting, localized in the 'liberal' functional signal portion.
The 'liberal' functional signal portion strongly correlated with cognitive traits.

Conclusions:

Brain structure-function coupling offers novel signatures for cognition and individual brain organization.
These findings clarify the roles of low and high spatial frequencies in the structural connectome.
Provides new understanding of where to find key structure-function information for individual characterization.