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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...

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Related Experiment Video

Updated: May 10, 2025

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

"Neuropathological function estimations": a user-friendly module for analyzing neural activity in neurological

Alessia M Panait¹, Alex Kim^2,3, Rafael Rodriguez-Rojas^4,5

¹Enriched Health Sciences Program, Dawson College, Montreal, H3Z 1A4, Canada.

Bioinformatics Advances

|April 24, 2025

Summary

This new software aids neurological disorder research by creating brain models from patient data. It helps understand brain function changes and develop personalized treatments for conditions like Alzheimer's disease.

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Last Updated: May 10, 2025

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

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Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

Area of Science:

Neuroscience
Computational Biology
Medical Informatics

Background:

Neurological disorders involve complex alterations in neuronal activity.
Studying these alterations typically requires advanced programming skills.
A gap exists in accessible tools for analyzing neuropathological influences on brain function.

Purpose of the Study:

To introduce the Neuropathological Function Estimations software, a tool designed for studying neuronal activity changes in neurological disorders.
To provide researchers with a user-friendly interface for creating subject-specific functional brain models.
To enable the decoding of neuropathological influences without programming expertise.

Main Methods:

Development of the Neuropathological Function Estimations software with an intuitive graphical user interface.
Inputting diverse data types to generate personalized functional brain models.
Validation of software capabilities using Alzheimer's disease data.

Main Results:

Successful generation of subject-specific functional brain models.
Insights into neuronal excitability and disease mechanisms in Alzheimer's disease.
Demonstration of the software's utility in decoding neuropathological influences.

Conclusions:

The Neuropathological Function Estimations software facilitates the study of brain function in neurological disorders.
The tool enhances understanding of the biological basis of in vivo neural activity.
It holds potential for advancing personalized therapeutic interventions for neurological conditions.