Differentiating hippocampal subregions by means of quantitative magnetization transfer and relaxometry: preliminary results

Kiefer, Claus; Slotboom, Johannes; Buri, Caroline; Gralla, Jan; Remonda, Luca; Dierks, Thomas; Strik, Werner K; Schroth, Gerhard; Kalus, Peter (2004). Differentiating hippocampal subregions by means of quantitative magnetization transfer and relaxometry: preliminary results. NeuroImage, 23(3), pp. 1093-9. San Diego, Calif.: Elsevier 10.1016/j.neuroimage.2004.07.066

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The hippocampal formation (HF) of healthy control subjects and schizophrenic patients was examined using an MRI experiment that implements sequences for relaxometry and magnetization transfer (MT) quantification. In addition to the semi-quantitative magnetization transfer ratio (MTR), all of the observable properties of the binary spin bath model were included. The study demonstrates that, in contrast to the MTR, quantitative MT parameters (especially the T2 relaxation time of restricted protons, T2b) are capable to differentiate functionally significant subregions within the HF. The MT methodology appears to be a promising new tool for the differential microstructural evaluation of the HF in neuropsychiatric disorders accompanied by memory disturbances.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Endocrinology, Diabetology and Clinical Nutrition
04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy > Psychiatric Neurophysiology [discontinued]
04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy > Management

UniBE Contributor:

Buri, Caroline; Dierks, Thomas and Strik, Werner

ISSN:

1053-8119

Publisher:

Elsevier

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 15:23

Last Modified:

17 Mar 2015 22:49

Publisher DOI:

10.1016/j.neuroimage.2004.07.066

PubMed ID:

15528109

Web of Science ID:

000225254100031

URI:

https://boris.unibe.ch/id/eprint/37211 (FactScience: 207218)

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