Literature DB >> 26575133

High-resolution In Vivo Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging.

Julie Winterburn1, Jens C Pruessner2, Chavez Sofia3, Mark M Schira4, Nancy J Lobaugh5, Aristotle N Voineskos6, M Mallar Chakravarty7.   

Abstract

The human hippocampus has been broadly studied in the context of memory and normal brain function and its role in different neuropsychiatric disorders has been heavily studied. While many imaging studies treat the hippocampus as a single unitary neuroanatomical structure, it is, in fact, composed of several subfields that have a complex three-dimensional geometry. As such, it is known that these subfields perform specialized functions and are differentially affected through the course of different disease states. Magnetic resonance (MR) imaging can be used as a powerful tool to interrogate the morphology of the hippocampus and its subfields. Many groups use advanced imaging software and hardware (>3T) to image the subfields; however this type of technology may not be readily available in most research and clinical imaging centers. To address this need, this manuscript provides a detailed step-by-step protocol for segmenting the full anterior-posterior length of the hippocampus and its subfields: cornu ammonis (CA) 1, CA2/CA3, CA4/dentate gyrus (DG), strata radiatum/lacunosum/moleculare (SR/SL/SM), and subiculum. This protocol has been applied to five subjects (3F, 2M; age 29-57, avg. 37). Protocol reliability is assessed by resegmenting either the right or left hippocampus of each subject and computing the overlap using the Dice's kappa metric. Mean Dice's kappa (range) across the five subjects are: whole hippocampus, 0.91 (0.90-0.92); CA1, 0.78 (0.77-0.79); CA2/CA3, 0.64 (0.56-0.73); CA4/dentate gyrus, 0.83 (0.81-0.85); strata radiatum/lacunosum/moleculare, 0.71 (0.68-0.73); and subiculum 0.75 (0.72-0.78). The segmentation protocol presented here provides other laboratories with a reliable method to study the hippocampus and hippocampal subfields in vivo using commonly available MR tools.

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Year:  2015        PMID: 26575133      PMCID: PMC4692694          DOI: 10.3791/51861

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  36 in total

1.  Differential effect of age on hippocampal subfields assessed using a new high-resolution 3T MR sequence.

Authors:  Renaud La Joie; Marine Fouquet; Florence Mézenge; Brigitte Landeau; Nicolas Villain; Katell Mevel; Alice Pélerin; Francis Eustache; Béatrice Desgranges; Gaël Chételat
Journal:  Neuroimage       Date:  2010-06-16       Impact factor: 6.556

2.  Performing label-fusion-based segmentation using multiple automatically generated templates.

Authors:  M Mallar Chakravarty; Patrick Steadman; Matthijs C van Eede; Rebecca D Calcott; Victoria Gu; Philip Shaw; Armin Raznahan; D Louis Collins; Jason P Lerch
Journal:  Hum Brain Mapp       Date:  2012-05-19       Impact factor: 5.038

3.  Image registration of ex-vivo MRI to sparsely sectioned histology of hippocampal and neocortical temporal lobe specimens.

Authors:  Maged Goubran; Cathie Crukley; Sandrine de Ribaupierre; Terence M Peters; Ali R Khan
Journal:  Neuroimage       Date:  2013-07-26       Impact factor: 6.556

4.  An MRI based average macaque monkey stereotaxic atlas and space (MNI monkey space).

Authors:  Stephen Frey; Deepak N Pandya; M Mallar Chakravarty; Lara Bailey; Michael Petrides; D Louis Collins
Journal:  Neuroimage       Date:  2011-01-20       Impact factor: 6.556

5.  Associative encoding and retrieval are predicted by functional connectivity in distinct hippocampal area CA1 pathways.

Authors:  Katherine Duncan; Alexa Tompary; Lila Davachi
Journal:  J Neurosci       Date:  2014-08-20       Impact factor: 6.167

6.  Measurement of hippocampal subfields and age-related changes with high resolution MRI at 4T.

Authors:  S G Mueller; L Stables; A T Du; N Schuff; D Truran; N Cashdollar; M W Weiner
Journal:  Neurobiol Aging       Date:  2006-05-19       Impact factor: 4.673

7.  Amygdala and hippocampal volumes in adolescents and adults with bipolar disorder.

Authors:  Hilary P Blumberg; Joan Kaufman; Andres Martin; Ronald Whiteman; Jane Hongyuan Zhang; John C Gore; Dennis S Charney; John H Krystal; Bradley S Peterson
Journal:  Arch Gen Psychiatry       Date:  2003-12

8.  A high-resolution computational atlas of the human hippocampus from postmortem magnetic resonance imaging at 9.4 T.

Authors:  Paul A Yushkevich; Brian B Avants; John Pluta; Sandhitsu Das; David Minkoff; Dawn Mechanic-Hamilton; Simon Glynn; Stephen Pickup; Weixia Liu; James C Gee; Murray Grossman; John A Detre
Journal:  Neuroimage       Date:  2008-09-18       Impact factor: 6.556

9.  Histology-derived volumetric annotation of the human hippocampal subfields in postmortem MRI.

Authors:  Daniel H Adler; John Pluta; Salmon Kadivar; Caryne Craige; James C Gee; Brian B Avants; Paul A Yushkevich
Journal:  Neuroimage       Date:  2013-09-12       Impact factor: 6.556

10.  Automatic anatomical brain MRI segmentation combining label propagation and decision fusion.

Authors:  Rolf A Heckemann; Joseph V Hajnal; Paul Aljabar; Daniel Rueckert; Alexander Hammers
Journal:  Neuroimage       Date:  2006-07-24       Impact factor: 6.556

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  3 in total

1.  Building a Surface Atlas of Hippocampal Subfields From High Resolution T2-weighted MRI Scans Using Landmark-free Surface Registration.

Authors:  Shan Cong; Maher Rizkalla; Paul Salama; Shannon L Risacher; John D West; Yu-Chien Wu; Liana Apostolova; Eileen Tallman; Andrew J Saykin; Li Shen
Journal:  Conf Proc (Midwest Symp Circuits Syst)       Date:  2017-03-06

2.  Segmenting subregions of the human hippocampus on structural magnetic resonance image scans: An illustrated tutorial.

Authors:  Marshall A Dalton; Peter Zeidman; Daniel N Barry; Elaine Williams; Eleanor A Maguire
Journal:  Brain Neurosci Adv       Date:  2017-04-06

3.  Regionally specific volume deficits along the hippocampal long axis in early and chronic psychosis.

Authors:  Maureen McHugo; Pratik Talati; Neil D Woodward; Kristan Armstrong; Jennifer Urbano Blackford; Stephan Heckers
Journal:  Neuroimage Clin       Date:  2018-10-23       Impact factor: 4.881

  3 in total

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