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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: May 23, 2026

Recording and Analyzing Multimodal Large-Scale Neuronal Ensemble Dynamics on CMOS-Integrated High-Density Microelectrode Array

Recording and Analyzing Multimodal Large-Scale Neuronal Ensemble Dynamics on CMOS-Integrated High-Density Microelectrode Array

Published on: March 8, 2024

Brain enabled by next-generation neurotechnology: using multiscale and multimodal models.

Krishna Shenoy¹, Arto V Nurmikko

¹Department of Electrical Engineering, Bioengineering, and Neurobiology Program, Stanford University, California, USA. shenoy@stanford.edu

|April 7, 2012

Summary

This summary is machine-generated.

Researchers are exploring brain information processing to understand neural circuit responses and enhance recovery from brain injury. This interdisciplinary effort aims to develop new therapeutic options through innovative experimental and computational approaches.

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Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents

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Last Updated: May 23, 2026

Recording and Analyzing Multimodal Large-Scale Neuronal Ensemble Dynamics on CMOS-Integrated High-Density Microelectrode Array

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Published on: March 8, 2024

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Published on: May 23, 2025

Area of Science:

Neuroscience
Neuroengineering
Computational Neuroscience

Background:

Interfacing with the brain presents significant challenges across multiple disciplines.
Understanding brain states at the neural circuit level is crucial for therapeutic innovation.
Brain injury recovery requires expertise in neuroscience, neuroengineering, and clinical guidance.

Purpose of the Study:

To advance the fundamental understanding of brain information processing.
To investigate the relationship between brain activity, sensation, behavior, and injury.
To explore methods for encouraging recovery from reversible brain injury.

Main Methods:

Employing a suite of innovative experimental, computational, and theoretical approaches.
Leveraging expertise from a multi-university research team (Stanford, Brown, UCSF, UCL).
Focusing on how the brain and its microcircuitry react to physiological changes.

Main Results:

Early illustrative results are summarized, showcasing technical goals and approaches.
Demonstrated progress in understanding brain microcircuitry responses.
Identified potential strategies for promoting recovery from brain injury.

Conclusions:

Interdisciplinary collaboration is essential for tackling complex brain interfacing challenges.
Innovative approaches are key to advancing brain injury recovery.
Further research is needed to translate findings into therapeutic options.