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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: Jan 4, 2026

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Published on: December 5, 2014

Active Acquisition for multimodal neuroimaging.

James H Cole¹, Romy Lorenz^2,3, Fatemeh Geranmayeh⁴

¹Department of Neuroimaging, Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, UK.

Wellcome Open Research

|November 5, 2019

Summary

This summary is machine-generated.

Active Acquisition is a novel neuroimaging approach where data analysis guides future scans, adapting sequences for individual needs. This personalized strategy enhances data acquisition power, sensitivity, and speed for better clinical insights.

Keywords:

MRI Neuroimaging active acquisition brain

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Related Experiment Videos

Last Updated: Jan 4, 2026

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Published on: December 5, 2014

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

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Published on: June 30, 2018

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

Area of Science:

Neuroimaging
Medical Physics
Data Science

Background:

Standard neuroimaging protocols apply uniform scan sequences to all individuals, regardless of specific abnormalities.
This one-size-fits-all approach may not be optimal for identifying individual variations or specific pathologies.

Purpose of the Study:

To introduce and demonstrate Active Acquisition, an adaptive data acquisition strategy for neuroimaging.
To explore the potential of real-time data analysis to personalize MRI scanning sequences.

Main Methods:

Proposed three scenarios for Active Acquisition using multimodal MRI.
Scenario 1: Real-time analysis for adaptive resolution or field-of-view.
Scenario 2: Decision trees for multimodal data classification (e.g., age prediction).
Scenario 3: Bayesian optimization for identifying abnormal MRI modalities.

Main Results:

Simulations suggest Active Acquisition can tailor scanning sequences to individual patients.
Demonstrated potential for adaptive data acquisition across different MRI modalities.
Highlighted challenges in normative data, MR physics, and clinical validation.

Conclusions:

Active Acquisition offers a more powerful, sensitive, and rapid approach to neuroimaging data collection.
This adaptive strategy may improve individual difference analysis, clinical condition assessment, and biomarker discovery.