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Related Concept Videos

Functional Brain Systems: Reticular Formation01:13

Functional Brain Systems: Reticular Formation

The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...

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Related Experiment Video

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Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks.

Fani Deligianni, Gael Varoquaux, Bertrand Thirion

    IEEE Transactions on Medical Imaging
    |August 13, 2013
    PubMed
    Summary

    This study introduces a novel probabilistic framework to map structural brain connectivity to functional connectivity. It enhances understanding of brain organization and aids in developing multimodal biomarkers.

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    Last Updated: May 8, 2026

    Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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    Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
    17:06

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

    Published on: November 8, 2012

    Area of Science:

    • Neuroscience
    • Brain Imaging
    • Computational Biology

    Background:

    • Brain function relies on structural and functional connectivity, both measured using in vivo magnetic resonance imaging (MRI).
    • Current neuroscientific understanding of the structure-function relationship is limited, and imaging data is inherently noisy.
    • Developing inter-subject models for joint structural and functional connectivity is crucial for multimodal biomarkers but remains a challenge.

    Purpose of the Study:

    • To present a probabilistic framework for learning cross-subject mappings from structural to functional brain connectivity.
    • To address the challenge of noisy imaging data and limited understanding of brain structure-function links.
    • To enable the development of robust multimodal biomarkers for brain organization and function.

    Main Methods:

    • Utilized a predictive framework with multiple sparse linear regression, extending previous work.
    • Employed randomized LASSO to identify significant anatomo-functional links with confidence intervals.
    • Integrated resting-state functional MRI within Gaussian graphical models, incorporating structural constraints and multivariate autoregressive models.

    Main Results:

    • Developed a probabilistic framework to learn mappings between structural and functional brain connectivity across subjects.
    • Identified relevant anatomo-functional links using randomized LASSO, providing confidence intervals.
    • Introduced a parameterization-independent measure for predicting functional connectivity, enabling robust model selection.

    Conclusions:

    • The proposed framework offers a robust method for modeling the relationship between structural and functional brain connectivity.
    • This approach facilitates the identification of key anatomo-functional links and improves multimodal biomarker development.
    • Demonstrated the methodology's effectiveness using default mode, salience networks, and atlas-based cortical parcellations.