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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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Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Modalities, modes, and models in functional neuroimaging.

Karl J Friston¹

¹Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK. k.friston@fil.ion.ucl.ac.uk

Science (New York, N.Y.)

|October 17, 2009

Summary

This summary is machine-generated.

Brain imaging has revolutionized neuroscience over 21 years. This review examines functional segregation and integration in human brain mapping, highlighting key advances and challenges in cognitive activation studies.

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Area of Science:

Neuroscience
Cognitive Neuroscience
Neuroimaging

Background:

Human brain mapping has advanced significantly over the past 21 years, particularly in cognitive activation studies.
Brain imaging techniques are now indispensable tools in modern neuroscience research.
The field has explored various theoretical frameworks, with mixed success.

Purpose of the Study:

To review the progress and key ideas in imaging neuroscience over the last two decades.
To examine recent advances in understanding brain function through the lens of functional segregation and integration.
To highlight approaches addressing the distributed and integrated nature of neuronal processing.

Main Methods:

Review of cognitive activation studies utilizing brain imaging.
Analysis of theoretical frameworks and conceptual advances in imaging neuroscience.
Focus on methodologies investigating functional segregation and integration.

Main Results:

Brain imaging has become a cornerstone of contemporary neuroscience.
Significant developments have emerged in understanding how the brain processes information in a distributed and integrated manner.
Certain conceptual approaches have proven more fruitful than others.

Conclusions:

The review celebrates the achievements of brain imaging in advancing neuroscience.
Future research directions will likely focus on sophisticated methods to explore brain network dynamics.
Understanding functional segregation and integration remains central to cognitive neuroscience.