Literature DB >> 11153720

A new method for the in vivo volumetric measurement of the human hippocampus with high neuroanatomical accuracy.

J Pantel1, D S O'Leary, K Cretsinger, H J Bockholt, H Keefe, V A Magnotta, N C Andreasen.   

Abstract

Accurate and reproducible in vivo measurement of hippocampal volumes using magnetic resonance (MR) imaging is complicated by the morphological complexity of the structure. Additionally, separation of certain parts of the hippocampus from the adjacent brain structures on MR images is sometimes very difficult. These difficulties have led most investigators to either use arbitrary landmarks or to exclude certain parts of the structure from their measurements. Based on three-dimensional MR data, we have developed a reliable in vivo volumetric measurement of the human hippocampus. In contrast to most of the previously described volumetric MR-based methods, we aimed to sample the entire hippocampal formation using its true anatomical definition. This was accomplished by relying on the capacity of the BRAINS software to simultaneously visualize in multiple planes, to "telegraph" tracings or cursor position from one plane to another, and to simultaneously rely on multispectral data from three different image sets (T1, T2, and tissue classified). The methods for identifying boundaries and measuring the hippocampal volume are described. The method has excellent reliability, sensitivity, and specificity. The method may be of use in studies of structure-function relationships in neuropsychiatric disorders such as schizophrenia, temporal lobe epilepsy, and Alzheimer's disease. Future work will use these measurements as training data for a neural net-based technique to identify the anatomical boundaries automatically.

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Year:  2000        PMID: 11153720     DOI: 10.1002/1098-1063(2000)10:6<752::AID-HIPO1012>3.0.CO;2-Y

Source DB:  PubMed          Journal:  Hippocampus        ISSN: 1050-9631            Impact factor:   3.899


  52 in total

1.  Fetal hippocampal development: analysis by magnetic resonance imaging volumetry.

Authors:  Francois Dominique Jacob; Piotr A Habas; Kio Kim; James Corbett-Detig; Duan Xu; Colin Studholme; Orit A Glenn
Journal:  Pediatr Res       Date:  2011-05       Impact factor: 3.756

2.  Survey of protocols for the manual segmentation of the hippocampus: preparatory steps towards a joint EADC-ADNI harmonized protocol.

Authors:  Marina Boccardi; Rossana Ganzola; Martina Bocchetta; Michela Pievani; Alberto Redolfi; George Bartzokis; Richard Camicioli; John G Csernansky; Mony J de Leon; Leyla deToledo-Morrell; Ronald J Killiany; Stéphane Lehéricy; Johannes Pantel; Jens C Pruessner; H Soininen; Craig Watson; Simon Duchesne; Clifford R Jack; Giovanni B Frisoni
Journal:  J Alzheimers Dis       Date:  2011       Impact factor: 4.472

3.  Reliability and validity of MRI-based automated volumetry software relative to auto-assisted manual measurement of subcortical structures in HIV-infected patients from a multisite study.

Authors:  Jeffrey Dewey; George Hana; Troy Russell; Jared Price; Daniel McCaffrey; Jaroslaw Harezlak; Ekta Sem; Joy C Anyanwu; Charles R Guttmann; Bradford Navia; Ronald Cohen; David F Tate
Journal:  Neuroimage       Date:  2010-03-22       Impact factor: 6.556

4.  Quantitative MR analyses of the hippocampus: unspecific metabolic changes in aging.

Authors:  András Szentkuti; Sebastian Guderian; Kolja Schiltz; Jörn Kaufmann; Thomas F Münte; Hans-Jochen Heinze; Emrah Düzel
Journal:  J Neurol       Date:  2004-11       Impact factor: 4.849

5.  Comparison of manual tracing versus a semiautomatic radial measurement method in temporal lobe MRI volumetry for pharmacoresistant epilepsy.

Authors:  Christian-Andreas Mueller; Jasmin Scorzin; Roy Koenig; Horst Urbach; Rolf Fimmers; Josef Zentner; Thomas-Nicolas Lehmann; Johannes Schramm
Journal:  Neuroradiology       Date:  2006-11-28       Impact factor: 2.804

6.  Structural pathology underlying neuroendocrine dysfunction in schizophrenia.

Authors:  Morris B Goldman; Lei Wang; Carly Wachi; Sheeraz Daudi; John Csernansky; Megan Marlow-O'Connor; Sarah Keedy; Ivan Torres
Journal:  Behav Brain Res       Date:  2010-11-17       Impact factor: 3.332

7.  Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structures.

Authors:  Stephanie Powell; Vincent A Magnotta; Hans Johnson; Vamsi K Jammalamadaka; Ronald Pierson; Nancy C Andreasen
Journal:  Neuroimage       Date:  2007-08-22       Impact factor: 6.556

8.  Contributions of volumetrics of the hippocampus and thalamus to verbal memory in temporal lobe epilepsy patients.

Authors:  Christopher C Stewart; H Randall Griffith; Ozioma C Okonkwo; Roy C Martin; Robert K Knowlton; Elizabeth J Richardson; Bruce P Hermann; Michael Seidenberg
Journal:  Brain Cogn       Date:  2008-07-02       Impact factor: 2.310

9.  MRI volume loss of subcortical structures in unilateral temporal lobe epilepsy.

Authors:  Dalin T Pulsipher; Michael Seidenberg; Jared J Morton; Elizabeth Geary; Joy Parrish; Bruce Hermann
Journal:  Epilepsy Behav       Date:  2007-11       Impact factor: 2.937

10.  Hippocampal morphology and distinguishing late-onset from early-onset elderly depression.

Authors:  Martina Ballmaier; Katherine L Narr; Arthur W Toga; Virginia Elderkin-Thompson; Paul M Thompson; Liberty Hamilton; Ebrahim Haroon; Daniel Pham; Andreas Heinz; Anand Kumar
Journal:  Am J Psychiatry       Date:  2007-11-06       Impact factor: 18.112

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