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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 Stimulation (TMS).

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Related Experiment Video

Updated: Jun 26, 2026

Visual Evoked Potential Recordings in Mice Using a Dry Non-invasive Multi-channel Scalp EEG Sensor

Visual Evoked Potential Recordings in Mice Using a Dry Non-invasive Multi-channel Scalp EEG Sensor

Published on: January 12, 2018

Neurodiagnostic: Advances in diagnostic tools.

Shreya Dave¹, Juni Banerjee², Shuvomoy Banerjee³

¹Genetics & Developmental Biology Laboratory, School of Biotechnology & Bioengineering, Institute of Advanced Research, Gandhinagar, Gujarat, India.

International Review of Cell and Molecular Biology

|June 24, 2026

Summary

This summary is machine-generated.

Advancing neurodiagnostics requires integrating multi-omics, AI, and ML for early detection of neurological diseases like Alzheimer's. The focus is on developing novel, non-invasive biomarkers for precise diagnosis and improved patient outcomes.

Keywords:

Artificial intelligence Biomarkers Biosensors EEG MRI Multi-omics Neurodiagnostic

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A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

Related Experiment Videos

Last Updated: Jun 26, 2026

Visual Evoked Potential Recordings in Mice Using a Dry Non-invasive Multi-channel Scalp EEG Sensor

Visual Evoked Potential Recordings in Mice Using a Dry Non-invasive Multi-channel Scalp EEG Sensor

Published on: January 12, 2018

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

Area of Science:

Neuroscience and Medical Diagnostics
Biomarker Discovery
Computational Biology

Background:

Neurological diseases like Alzheimer's, brain tumors, and MS present complex diagnostic challenges.
Current diagnostic tools, while valuable, require enhancement for accuracy and early detection.
There is an urgent need for precise and differential diagnostic methods for neurodegenerative diseases.

Purpose of the Study:

To explore advancements in neurodiagnostics beyond conventional methods.
To highlight the role of Omics, AI, and ML in enhancing neurodiagnostic capabilities.
To emphasize the importance of developing novel biomarkers, particularly non-invasive ones.

Main Methods:

Review of conventional diagnostic tools (X-ray, CT, Electrophysiology).
Analysis of advanced imaging techniques (PET, fMRI).
Integration of Omics studies (proteomics, genomics), Artificial Intelligence (AI), and Machine Learning (ML).

Main Results:

Omics, AI, and ML significantly enhance neurodiagnostic accuracy and early detection.
Identification of novel blood-based and cerebrospinal fluid (CSF) biomarkers is crucial.
Non-invasive biomarker development is key to advancing neurodiagnosis.

Conclusions:

Advanced bioimaging and multi-omics studies are vital for next-generation neurodiagnostics.
Computational approaches and biosensor technology hold promise for future diagnostic tools.
A multi-disciplinary approach integrating various technologies is essential for improved neurodiagnosis.