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000139495 041__ $$aEnglish
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000139495 1001_ $$0P:(DE-2719)2812972$$aBerron, D.$$b0$$eFirst author
000139495 245__ $$aA protocol for manual segmentation of medial temporal lobe subregions in 7 Tesla MRI.
000139495 260__ $$a[Amsterdam u.a.]$$bElsevier$$c2017
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000139495 520__ $$aRecent advances in MRI and increasing knowledge on the characterization and anatomical variability of medial temporal lobe (MTL) anatomy have paved the way for more specific subdivisions of the MTL in humans. In addition, recent studies suggest that early changes in many neurodegenerative and neuropsychiatric diseases are better detected in smaller subregions of the MTL rather than with whole structure analyses. Here, we developed a new protocol using 7 Tesla (T) MRI incorporating novel anatomical findings for the manual segmentation of entorhinal cortex (ErC), perirhinal cortex (PrC; divided into area 35 and 36), parahippocampal cortex (PhC), and hippocampus; which includes the subfields subiculum (Sub), CA1, CA2, as well as CA3 and dentate gyrus (DG) which are separated by the endfolial pathway covering most of the long axis of the hippocampus. We provide detailed instructions alongside slice-by-slice segmentations to ease learning for the untrained but also more experienced raters. Twenty-two subjects were scanned (19-32 yrs, mean age = 26 years, 12 females) with a turbo spin echo (TSE) T2-weighted MRI sequence with high-resolution oblique coronal slices oriented orthogonal to the long axis of the hippocampus (in-plane resolution 0.44 × 0.44 mm2) and 1.0 mm slice thickness. The scans were manually delineated by two experienced raters, to assess intra- and inter-rater reliability. The Dice Similarity Index (DSI) was above 0.78 for all regions and the Intraclass Correlation Coefficients (ICC) were between 0.76 to 0.99 both for intra- and inter-rater reliability. In conclusion, this study presents a fine-grained and comprehensive segmentation protocol for MTL structures at 7 T MRI that closely follows recent knowledge from anatomical studies. More specific subdivisions (e.g. area 35 and 36 in PrC, and the separation of DG and CA3) may pave the way for more precise delineations thereby enabling the detection of early volumetric changes in dementia and neuropsychiatric diseases.
000139495 536__ $$0G:(DE-HGF)POF3-344$$a344 - Clinical and Health Care Research (POF3-344)$$cPOF3-344$$fPOF III$$x0
000139495 542__ $$2Crossref$$i2017-01-01$$uhttps://www.elsevier.com/tdm/userlicense/1.0/
000139495 542__ $$2Crossref$$i2017-05-25$$uhttp://creativecommons.org/licenses/by-nc-nd/4.0/
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000139495 650_2 $$2MeSH$$aAdult
000139495 650_2 $$2MeSH$$aBrain Mapping: methods
000139495 650_2 $$2MeSH$$aBrain Mapping: standards
000139495 650_2 $$2MeSH$$aDentate Gyrus: diagnostic imaging
000139495 650_2 $$2MeSH$$aDentate Gyrus: physiology
000139495 650_2 $$2MeSH$$aFemale
000139495 650_2 $$2MeSH$$aHippocampus: diagnostic imaging
000139495 650_2 $$2MeSH$$aHippocampus: physiology
000139495 650_2 $$2MeSH$$aHumans
000139495 650_2 $$2MeSH$$aMagnetic Resonance Imaging: methods
000139495 650_2 $$2MeSH$$aMagnetic Resonance Imaging: standards
000139495 650_2 $$2MeSH$$aMale
000139495 650_2 $$2MeSH$$aTemporal Lobe: diagnostic imaging
000139495 650_2 $$2MeSH$$aTemporal Lobe: physiology
000139495 650_2 $$2MeSH$$aYoung Adult
000139495 7001_ $$0P:(DE-2719)2810529$$aVieweg, P.$$b1
000139495 7001_ $$0P:(DE-HGF)0$$aHochkeppler, A.$$b2
000139495 7001_ $$aPluta, J. B.$$b3
000139495 7001_ $$aDing, S-L$$b4
000139495 7001_ $$0P:(DE-2719)2811815$$aMaaß, Anne$$b5$$udzne
000139495 7001_ $$0P:(DE-2719)2321099$$aLuther, A.$$b6
000139495 7001_ $$aXie, L.$$b7
000139495 7001_ $$aDas, S. R.$$b8
000139495 7001_ $$aWolk, D. A.$$b9
000139495 7001_ $$0P:(DE-2719)2810583$$aWolbers, T.$$b10
000139495 7001_ $$aYushkevich, P. A.$$b11
000139495 7001_ $$0P:(DE-2719)2000005$$aDüzel, E.$$b12
000139495 7001_ $$aWisse, L. E. M.$$b13
000139495 77318 $$2Crossref$$3journal-article$$a10.1016/j.nicl.2017.05.022$$b : Elsevier BV, 2017-01-01$$p466-482$$tNeuroImage: Clinical$$v15$$x2213-1582$$y2017
000139495 773__ $$0PERI:(DE-600)2701571-3$$a10.1016/j.nicl.2017.05.022$$gVol. 15, p. 466 - 482$$p466-482$$q15<466 - 482$$tNeuroImage: Clinical$$v15$$x2213-1582$$y2017
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000139495 8567_ $$2Pubmed Central$$uhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476466
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