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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).

Theoretical Approaches to Psychological Disorder

Theoretical Approaches to Psychological Disorder

The development of psychological disorders, which are characterized by deviant, maladaptive, and personally distressing behaviors, has been explored through several theoretical approaches.
Biological approach
The biological approach posits that internal, organic factors are the primary causes of such disorders. This perspective emphasizes brain structure and function, genetic predispositions, and neurotransmitter imbalances. For example, schizophrenia has been associated with both genetic...

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Updated: May 17, 2026

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

Discovering relations between mind, brain, and mental disorders using topic mapping.

Russell A Poldrack¹, Jeanette A Mumford, Tom Schonberg

¹Imaging Research Center and Departments of Psychology and Neurobiology, University of Texas, Austin, Texas, United States of America. poldrack@mail.utexas.edu

Plos Computational Biology

|October 17, 2012

Summary

This summary is machine-generated.

Data mining neuroimaging results reveals the brain systems underlying mental functions and disorders. This approach uncovers novel links between mental disorders and functions through shared brain networks, aiding in discovering new endophenotypes.

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Published on: August 12, 2019

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Area of Science:

Cognitive Neuroscience
Neuroimaging Analysis
Computational Psychiatry

Background:

Traditional neuroimaging focuses on linking brain activity to specific mental functions.
Understanding the conceptual structure of cognition and its neural basis remains a challenge.

Purpose of the Study:

To apply data mining to neuroimaging results for mapping mental functions to brain systems.
To identify relationships between mental disorders using similar data mining techniques.
To explore the combined approach for discovering novel links between mental disorders and functions via brain networks.

Main Methods:

Utilized data mining techniques on a large database of neuroimaging results.
Analyzed the conceptual structure of mental functions and their brain system mappings.
Investigated relations between mental disorders.
Combined functional and disorder analyses to identify shared neural network involvement.

Main Results:

Confirmed existing ideas on the neural organization of cognition.
Provided new insights into the roles of specific brain systems in mental functions.
Successfully identified relationships between mental disorders.
Empirically demonstrated novel connections between mental disorders and mental functions through common brain network engagement.

Conclusions:

Data mining of neuroimaging data offers a powerful method to map cognitive functions and understand brain system organization.
This approach can reveal the structure of mental disorders and their interrelations.
The combined methodology holds potential for discovering novel endophenotypes for neuropsychiatric disorders and refining disorder characterization.