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Can MRI Contribute to the Understanding and Therapy of Mental Diseases?

Can MRI Contribute to the Understanding and Therapy of Mental Diseases? The nowadays most accepted hypothesis of the origin of mental diseases is an impaired connectivity between various brain areas. Magnetic resonance tractography reveals structural connectivities through neuronal fibers and resting state functional imaging allows one to visualize functional connectivities. The detection of the small signal changes needs the highest sensitivity and the magnetic resonance imaging scans must be repeated as fast as possible. Statistical evaluation and cross correlation of the signals in all voxels show synchrony of signal-level fluctuations even in remote brain areas. This makes it possible to establish brain networks. The most important of them are the default mode network, the salience network, and the central executive network. Applications to schizophrenia and depression will be discussed. In deep brain stimulation, the excitation, currently used for therapy of Parkinson’s disease, is now introduced for therapy of major depressive disorder and can be taylored to the necessary brain location. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Magnetic Resonance Springer Journals

Can MRI Contribute to the Understanding and Therapy of Mental Diseases?

Applied Magnetic Resonance , Volume 49 (6) – Mar 12, 2018

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References (6)

Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer-Verlag GmbH Austria, part of Springer Nature
Subject
Physics; Solid State Physics; Spectroscopy/Spectrometry; Atoms and Molecules in Strong Fields, Laser Matter Interaction; Physical Chemistry; Organic Chemistry
ISSN
0937-9347
eISSN
1613-7507
DOI
10.1007/s00723-017-0975-9
Publisher site
See Article on Publisher Site

Abstract

The nowadays most accepted hypothesis of the origin of mental diseases is an impaired connectivity between various brain areas. Magnetic resonance tractography reveals structural connectivities through neuronal fibers and resting state functional imaging allows one to visualize functional connectivities. The detection of the small signal changes needs the highest sensitivity and the magnetic resonance imaging scans must be repeated as fast as possible. Statistical evaluation and cross correlation of the signals in all voxels show synchrony of signal-level fluctuations even in remote brain areas. This makes it possible to establish brain networks. The most important of them are the default mode network, the salience network, and the central executive network. Applications to schizophrenia and depression will be discussed. In deep brain stimulation, the excitation, currently used for therapy of Parkinson’s disease, is now introduced for therapy of major depressive disorder and can be taylored to the necessary brain location.

Journal

Applied Magnetic ResonanceSpringer Journals

Published: Mar 12, 2018

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