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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 19, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Brain-machine interfaces from motor to mood.

Maryam M Shanechi^1,2

¹Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA. shanechi@usc.edu.

Nature Neuroscience

|September 26, 2019

Summary

This summary is machine-generated.

Brain-machine interfaces (BMIs) restore motor function by interacting with neural activity. This review explores advances in motor BMIs and their potential for treating neuropsychiatric disorders by modulating mood.

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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

Area of Science:

Neuroscience
Biomedical Engineering
Neurotechnology

Background:

Brain-machine interfaces (BMIs) are closed-loop systems that record and modulate neural activity.
BMIs aim to restore lost functions, particularly motor control in paralyzed individuals.
BMIs serve as tools to investigate neural mechanisms of control and learning.

Purpose of the Study:

To review advances in motor BMIs guided by a closed-loop control perspective.
To explore the potential of mood BMIs for neuropsychiatric disorders.
To bridge the understanding between motor BMI advancements and their application in emotional regulation.

Main Methods:

Review of significant advances in motor BMIs.
Analysis of closed-loop control principles in BMI development.
Exploration of recent work on mood BMIs and emotion regulation.

Main Results:

Significant progress has been made in functional restoration using motor BMIs.
Motor BMIs have proven valuable as scientific tools for neuroscience research.
Emerging research indicates the potential for closed-loop mood BMIs.

Conclusions:

A closed-loop control view unifies advancements in motor BMIs.
BMIs offer a promising avenue for restoring emotional function in neuropsychiatric disorders.
Future research can extend BMI applications to the neuropsychiatric domain.