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Related Experiment Video

Updated: Mar 16, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

Clinical Concepts Emerging from fMRI Functional Connectomics.

Paul M Matthews¹, Adam Hampshire¹

¹Division of Brain Sciences, Department of Medicine and Centre for Neurotechnology, Imperial College London, London WC12 0NN, UK.

|August 7, 2016

Summary

This summary is machine-generated.

Functional connectomics integrates brain specialization and network interactions for understanding cognition and disease. Research using functional magnetic resonance imaging (fMRI) is influencing clinical diagnosis and treatment strategies.

Keywords:

biomarkers brain connectome consciousness diagnostics drug discovery fMRI imaging nosology pain

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Last Updated: Mar 16, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

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Published on: August 5, 2014

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

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Published on: November 8, 2012

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

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Published on: July 1, 2014

Area of Science:

Neuroscience
Systems Neuroscience
Cognitive Neuroscience

Background:

Connectomics advances reconcile localized brain specialization with distributed network interactions.
This integrated framework enhances understanding of normal cognition and neurological diseases.
Functional magnetic resonance imaging (fMRI) research impacts clinical concepts in diagnosis and patient management.

Purpose of the Study:

To review illustrative examples of functional connectomics applications in clinical settings.
To discuss how connectomics challenges traditional disease classifications and clarifies syndrome relationships.
To explore the potential of large-scale studies for discovering predictive biomarkers and informing treatment strategies.

Main Methods:

Review of existing research and clinical applications of functional connectomics.
Analysis of studies demonstrating network plasticity and the effects of focal brain injuries.
Examination of large datasets from prospective, longitudinal studies.

Main Results:

Functional connectomics research influences modern concepts of disease evolution and expression.
Applications in clinical populations are challenging disease classifications and identifying treatment repurposing opportunities.
Potential for discovering biomarkers to predict disease risk before clinical onset.

Conclusions:

Functional connectomics offers a comprehensive framework for understanding brain function in health and disease.
fMRI-based connectomics presents challenges and opportunities for clinically relevant applications.
Further research may refine diagnostic approaches and personalize treatment strategies for neurological disorders.