schliessen

Filtern

 

Bibliotheken

Predicting the location of human perirhinal cortex, Brodmann's area 35, from MRI.

The perirhinal cortex (Brodmann's area 35) is a multimodal area that is important for normal memory function. Specifically, perirhinal cortex is involved in the detection of novel objects and manifests neurofibrillary tangles in Alzheimer's disease very early in disease progression. We scanned ex vi... Full description

Journal Title: NeuroImage January 1, 2013, Vol.64, pp.32-42
Main Author: Augustinack, Jean C
Other Authors: Huber, Kristen E , Stevens, Allison A , Roy, Michelle , Frosch, Matthew P , van Der Kouwe, André J W , Wald, Lawrence L , Van Leemput, Koen , Mckee, Ann C , Fischl, Bruce , Augustinack, Jean C
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 1095-9572 ; DOI: 10.1016/j.neuroimage.2012.08.071
Link: http://search.proquest.com/docview/1273423349/?pq-origsite=primo
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: proquest1273423349
title: Predicting the location of human perirhinal cortex, Brodmann's area 35, from MRI.
format: Article
creator:
  • Augustinack, Jean C
  • Huber, Kristen E
  • Stevens, Allison A
  • Roy, Michelle
  • Frosch, Matthew P
  • van Der Kouwe, André J W
  • Wald, Lawrence L
  • Van Leemput, Koen
  • Mckee, Ann C
  • Fischl, Bruce
  • Augustinack, Jean C
subjects:
  • Aged–Methods
  • Algorithms–Methods
  • Artificial Intelligence–Methods
  • Cadaver–Anatomy & Histology
  • Female–Methods
  • Humans–Anatomy & Histology
  • Image Enhancement–Anatomy & Histology
  • Image Interpretation, Computer-Assisted–Anatomy & Histology
  • Magnetic Resonance Imaging–Anatomy & Histology
  • Male–Anatomy & Histology
  • Nerve Net–Anatomy & Histology
  • Pattern Recognition, Automated–Anatomy & Histology
  • Reproducibility of Results–Anatomy & Histology
  • Sensitivity and Specificity–Anatomy & Histology
  • Temporal Lobe–Anatomy & Histology
ispartof: NeuroImage, January 1, 2013, Vol.64, pp.32-42
description: The perirhinal cortex (Brodmann's area 35) is a multimodal area that is important for normal memory function. Specifically, perirhinal cortex is involved in the detection of novel objects and manifests neurofibrillary tangles in Alzheimer's disease very early in disease progression. We scanned ex vivo brain hemispheres at standard resolution (1mm×1mm×1mm) to construct pial/white matter surfaces in FreeSurfer and scanned again at high resolution (120μm×120μm×120μm) to determine cortical architectural boundaries. After labeling perirhinal area 35 in the high resolution images, we mapped the high resolution labels to the surface models to localize area 35 in fourteen cases. We validated the area boundaries determined using histological Nissl staining. To test the accuracy of the probabilistic mapping, we measured the Hausdorff distance between the predicted and true labels and found that the median Hausdorff distance was 4.0mm for the left hemispheres (n=7) and 3.2mm for the right hemispheres (n=7) across subjects. To show the utility of perirhinal localization, we mapped our labels to a subset of the Alzheimer's Disease Neuroimaging Initiative dataset and found decreased cortical thickness measures in mild cognitive impairment and Alzheimer's disease compared to controls in the predicted perirhinal area 35. Our ex vivo probabilistic mapping of the perirhinal cortex provides histologically validated, automated and accurate labeling of architectonic regions in the medial temporal lobe, and facilitates the analysis of atrophic changes in a large dataset for earlier detection and diagnosis. Highlights► Localized human perirhinal cortex using ex vivo MRI volumes ► Validated localization of perirhinal cortex with cytoarchitectural Nissl staining ► Mapped perirhinal labels from high resolution ex vivo to flattened spherical space ► Hausdorff distance measures were compared for right and left hemispheres. ► Cortical thickness showed differences between controls and Alzheimer's disease.
language: eng
source:
identifier: E-ISSN: 1095-9572 ; DOI: 10.1016/j.neuroimage.2012.08.071
fulltext: fulltext
issn:
  • 10959572
  • 1095-9572
url: Link


@attributes
ID978417041
RANK0.07
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
LOCALfalse
PrimoNMBib
record
control
sourcerecordid1273423349
sourceidproquest
recordidTN_proquest1273423349
sourcesystemPC
pqid1273423349
display
typearticle
titlePredicting the location of human perirhinal cortex, Brodmann's area 35, from MRI.
creatorAugustinack, Jean C ; Huber, Kristen E ; Stevens, Allison A ; Roy, Michelle ; Frosch, Matthew P ; van Der Kouwe, André J W ; Wald, Lawrence L ; Van Leemput, Koen ; Mckee, Ann C ; Fischl, Bruce ; Augustinack, Jean C
contributorLopez, Oscar L (correspondence author) ; Oakley, Maryann (record owner) ; Simpson, Donna M ; Porsteinsson, Anton P ; Goldstein, Bonnie S ; Martin, Kim ; Makino, Kelly M ; Ismail, M Saleem ; Brand, Connie ; Mulnard, Ruth A ; Thai, Gaby ; Mc-Adams-Ortiz, Catherine ; Womack, Kyle ; Mathews, Dana ; Quiceno, Mary ; Diaz-Arrastia, Ramon ; King, Richard ; Weiner, Myron ; Martin-Cook, Kristen ; Devous, Michael ; Levey, Allan I ; Lah, James J ; Cellar, Janet S ; Burns, Jeffrey M ; Anderson, Heather S ; Swerdlow, Russell H ; Apostolova, Liana ; Lu, Po H ; Bartzokis, George ; Silverman, Daniel H S ; Graff-Radford, Neill R ; Parfitt, Francine ; Johnson, Heather ; Farlow, Martin R ; Hake, Ann Marie ; Matthews, Brandy R ; Herring, Scott ; van Dyck, Christopher H ; Carson, Richard E ; Macavoy, Martha G ; Chertkow, Howard ; Bergman, Howard ; Hosein, Chris ; Black, Sandra ; Stefanovic, Bojana ; Caldwell, Curtis ; Hsiung, Ging-Yuek Robin ; Feldman, Howard ; Mudge, Benita ; Assaly, Michele ; Kertesz, Andrew ; Rogers, John ; Trost, Dick ; Bernick, Charles ; Munic, Donna ; Kerwin, Diana ; Mesulam, Marek-Marsel ; Lipowski, Kristina ; Wu, Chuang-Kuo ; Johnson, Nancy ; Sadowsky, Carl ; Martinez, Walter ; Villena, Teresa ; Turner, Raymond Scott ; Johnson, Kathleen ; Reynolds, Brigid ; Sperling, Reisa A ; Johnson, Keith A ; Marshall, Gad ; Frey, Meghan ; Yesavage, Jerome ; Taylor, Joy L ; Lane, Barton ; Rosen, Allyson ; Tinklenberg, Jared ; Sabbagh, Marwan ; Belden, Christine ; Jacobson, Sandra ; Kowall, Neil ; Killiany, Ronald ; Budson, Andrew E ; Norbash, Alexander ; Johnson, Patricia Lynn ; Obisesan, Thomas O ; Wolday, Saba ; Bwayo, Salome K ; Lerner, Alan ; Hudson, Leon ; Ogrocki, Paula ; Fletcher, Evan ; Carmichael, Owen ; Olichney, John ; Decarli, Charles ; Kittur, Smita ; Borrie, Michael ; Lee, T-Y ; Bartha, Rob ; Johnson, Sterling ; Asthana, Sanjay ; Carlsson, Cynthia M ; Potkin, Steven G ; Preda, Adrian ; Nguyen, Dana ; Tariot, Pierre ; Fleisher, Adam ; Reeder, Stephanie ; Bates, Vernice ; Capote, Horacio ; Rainka, Michelle ; Scharre, Douglas W ; Kataki, Maria ; Zimmerman, Earl A ; Celmins, Dzintra ; Brown, Alice D ; Pearlson, Godfrey D ; Blank, Karen ; Anderson, Karen ; Saykin, Andrew J ; Santulli, Robert B ; Schwartz, Eben S ; Sink, Kaycee M ; Williamson, Jeff D ; Garg, Pradeep ; Watkins, Franklin ; Ott, Brian R ; Querfurth, Henry ; Tremont, Geoffrey ; Salloway, Stephen ; Malloy, Paul ; Correia, Stephen ; Rosen, Howard J ; Miller, Bruce L ; Mintzer, Jacobo ; Longmire, Crystal Flynn ; Spicer, Kenneth ; Finger, Elizabether ; Rachinsky, Irina ; Rogers, John ; Kertesz, Andrew ; Drost, Dick ; Drost, Dick ; Drost, Dick
ispartofNeuroImage, January 1, 2013, Vol.64, pp.32-42
identifierE-ISSN: 1095-9572 ; DOI: 10.1016/j.neuroimage.2012.08.071
subject
languageeng
source
descriptionThe perirhinal cortex (Brodmann's area 35) is a multimodal area that is important for normal memory function. Specifically, perirhinal cortex is involved in the detection of novel objects and manifests neurofibrillary tangles in Alzheimer's disease very early in disease progression. We scanned ex vivo brain hemispheres at standard resolution (1mm×1mm×1mm) to construct pial/white matter surfaces in FreeSurfer and scanned again at high resolution (120μm×120μm×120μm) to determine cortical architectural boundaries. After labeling perirhinal area 35 in the high resolution images, we mapped the high resolution labels to the surface models to localize area 35 in fourteen cases. We validated the area boundaries determined using histological Nissl staining. To test the accuracy of the probabilistic mapping, we measured the Hausdorff distance between the predicted and true labels and found that the median Hausdorff distance was 4.0mm for the left hemispheres (n=7) and 3.2mm for the right hemispheres (n=7) across subjects. To show the utility of perirhinal localization, we mapped our labels to a subset of the Alzheimer's Disease Neuroimaging Initiative dataset and found decreased cortical thickness measures in mild cognitive impairment and Alzheimer's disease compared to controls in the predicted perirhinal area 35. Our ex vivo probabilistic mapping of the perirhinal cortex provides histologically validated, automated and accurate labeling of architectonic regions in the medial temporal lobe, and facilitates the analysis of atrophic changes in a large dataset for earlier detection and diagnosis. Highlights► Localized human perirhinal cortex using ex vivo MRI volumes ► Validated localization of perirhinal cortex with cytoarchitectural Nissl staining ► Mapped perirhinal labels from high resolution ex vivo to flattened spherical space ► Hausdorff distance measures were compared for right and left hemispheres. ► Cortical thickness showed differences between controls and Alzheimer's disease.
version6
lds50peer_reviewed
links
openurl$$Topenurl_article
openurlfulltext$$Topenurlfull_article
backlink$$Uhttp://search.proquest.com/docview/1273423349/?pq-origsite=primo$$EView_record_in_ProQuest_(subscribers_only)
search
creatorcontrib
0Augustinack, Jean C
1Huber, Kristen E
2Stevens, Allison A
3Roy, Michelle
4Frosch, Matthew P
5van Der Kouwe, André J W
6Wald, Lawrence L
7Van Leemput, Koen
8Mckee, Ann C
9Fischl, Bruce
titlePredicting the location of human perirhinal cortex, Brodmann's area 35, from MRI.
subject
0Aged–Methods
1Algorithms–Methods
2Artificial Intelligence–Methods
3Cadaver–Anatomy & Histology
4Female–Methods
5Humans–Anatomy & Histology
6Image Enhancement–Anatomy & Histology
7Image Interpretation, Computer-Assisted–Anatomy & Histology
8Magnetic Resonance Imaging–Anatomy & Histology
9Male–Anatomy & Histology
10Nerve Net–Anatomy & Histology
11Pattern Recognition, Automated–Anatomy & Histology
12Reproducibility of Results–Anatomy & Histology
13Sensitivity and Specificity–Anatomy & Histology
14Temporal Lobe–Anatomy & Histology
general
0English
110.1016/j.neuroimage.2012.08.071
2MEDLINE (ProQuest)
3ProQuest Biological Science Collection
4ProQuest Natural Science Collection
5ProQuest SciTech Collection
6Biological Science Database
7Natural Science Collection
8SciTech Premium Collection
9Health Research Premium Collection
10Health Research Premium Collection (Alumni edition)
11Biological Science Index (ProQuest)
sourceidproquest
recordidproquest1273423349
issn
010959572
11095-9572
rsrctypearticle
creationdate2013
addtitleNeuroImage
searchscope
01007527
11007944
21009130
310000004
410000038
510000050
610000120
710000159
810000238
910000253
1010000260
1110000270
1210000271
1310000302
1410000350
15proquest
scope
01007527
11007944
21009130
310000004
410000038
510000050
610000120
710000159
810000238
910000253
1010000260
1110000270
1210000271
1310000302
1410000350
15proquest
lsr43
01007527false
11007944false
21009130false
310000004false
410000038false
510000050false
610000120false
710000159false
810000238false
910000253false
1010000260false
1110000270false
1210000271false
1310000302false
1410000350false
contributor
0Lopez, Oscar L
1Oakley, Maryann
2Simpson, Donna M
3Porsteinsson, Anton P
4Goldstein, Bonnie S
5Martin, Kim
6Makino, Kelly M
7Ismail, M Saleem
8Brand, Connie
9Mulnard, Ruth A
10Thai, Gaby
11Mc-Adams-Ortiz, Catherine
12Womack, Kyle
13Mathews, Dana
14Quiceno, Mary
15Diaz-Arrastia, Ramon
16King, Richard
17Weiner, Myron
18Martin-Cook, Kristen
19Devous, Michael
20Levey, Allan I
21Lah, James J
22Cellar, Janet S
23Burns, Jeffrey M
24Anderson, Heather S
25Swerdlow, Russell H
26Apostolova, Liana
27Lu, Po H
28Bartzokis, George
29Silverman, Daniel H S
30Graff-Radford, Neill R
31Parfitt, Francine
32Johnson, Heather
33Farlow, Martin R
34Hake, Ann Marie
35Matthews, Brandy R
36Herring, Scott
37van Dyck, Christopher H
38Carson, Richard E
39Macavoy, Martha G
40Chertkow, Howard
41Bergman, Howard
42Hosein, Chris
43Black, Sandra
44Stefanovic, Bojana
45Caldwell, Curtis
46Hsiung, Ging-Yuek Robin
47Feldman, Howard
48Mudge, Benita
49Assaly, Michele
50Kertesz, Andrew
51Rogers, John
52Trost, Dick
53Bernick, Charles
54Munic, Donna
55Kerwin, Diana
56Mesulam, Marek-Marsel
57Lipowski, Kristina
58Wu, Chuang-Kuo
59Johnson, Nancy
60Sadowsky, Carl
61Martinez, Walter
62Villena, Teresa
63Turner, Raymond Scott
64Johnson, Kathleen
65Reynolds, Brigid
66Sperling, Reisa A
67Johnson, Keith A
68Marshall, Gad
69Frey, Meghan
70Yesavage, Jerome
71Taylor, Joy L
72Lane, Barton
73Rosen, Allyson
74Tinklenberg, Jared
75Sabbagh, Marwan
76Belden, Christine
77Jacobson, Sandra
78Kowall, Neil
79Killiany, Ronald
80Budson, Andrew E
81Norbash, Alexander
82Johnson, Patricia Lynn
83Obisesan, Thomas O
84Wolday, Saba
85Bwayo, Salome K
86Lerner, Alan
87Hudson, Leon
88Ogrocki, Paula
89Fletcher, Evan
90Carmichael, Owen
91Olichney, John
92Decarli, Charles
93Kittur, Smita
94Borrie, Michael
95Lee, T-Y
96Bartha, Rob
97Johnson, Sterling
98Asthana, Sanjay
99Carlsson, Cynthia M
100...
startdate20130101
enddate20130101
citationpf 32 pt 42 vol 64
lsr30VSR-Enriched:[pqid, issue, issn, description]
sort
titlePredicting the location of human perirhinal cortex, Brodmann's area 35, from MRI.
authorAugustinack, Jean C ; Huber, Kristen E ; Stevens, Allison A ; Roy, Michelle ; Frosch, Matthew P ; van Der Kouwe, André J W ; Wald, Lawrence L ; Van Leemput, Koen ; Mckee, Ann C ; Fischl, Bruce ; Augustinack, Jean C
creationdate20130101
lso0120130101
facets
frbrgroupid3805506874208899287
frbrtype5
newrecords20181218
languageeng
creationdate2013
topic
0Aged–Methods
1Algorithms–Methods
2Artificial Intelligence–Methods
3Cadaver–Anatomy & Histology
4Female–Methods
5Humans–Anatomy & Histology
6Image Enhancement–Anatomy & Histology
7Image Interpretation, Computer-Assisted–Anatomy & Histology
8Magnetic Resonance Imaging–Anatomy & Histology
9Male–Anatomy & Histology
10Nerve Net–Anatomy & Histology
11Pattern Recognition, Automated–Anatomy & Histology
12Reproducibility of Results–Anatomy & Histology
13Sensitivity and Specificity–Anatomy & Histology
14Temporal Lobe–Anatomy & Histology
collection
0MEDLINE (ProQuest)
1ProQuest Biological Science Collection
2ProQuest Natural Science Collection
3ProQuest SciTech Collection
4Biological Science Database
5Natural Science Collection
6SciTech Premium Collection
7Health Research Premium Collection
8Health Research Premium Collection (Alumni edition)
9Biological Science Index (ProQuest)
prefilterarticles
rsrctypearticles
creatorcontrib
0Augustinack, Jean C
1Huber, Kristen E
2Stevens, Allison A
3Roy, Michelle
4Frosch, Matthew P
5van Der Kouwe, André J W
6Wald, Lawrence L
7Van Leemput, Koen
8Mckee, Ann C
9Fischl, Bruce
10Lopez, Oscar L
11Oakley, Maryann
12Simpson, Donna M
13Porsteinsson, Anton P
14Goldstein, Bonnie S
15Martin, Kim
16Makino, Kelly M
17Ismail, M Saleem
18Brand, Connie
19Mulnard, Ruth A
20Thai, Gaby
21Mc-Adams-Ortiz, Catherine
22Womack, Kyle
23Mathews, Dana
24Quiceno, Mary
25Diaz-Arrastia, Ramon
26King, Richard
27Weiner, Myron
28Martin-Cook, Kristen
29Devous, Michael
30Levey, Allan I
31Lah, James J
32Cellar, Janet S
33Burns, Jeffrey M
34Anderson, Heather S
35Swerdlow, Russell H
36Apostolova, Liana
37Lu, Po H
38Bartzokis, George
39Silverman, Daniel H S
40Graff-Radford, Neill R
41Parfitt, Francine
42Johnson, Heather
43Farlow, Martin R
44Hake, Ann Marie
45Matthews, Brandy R
46Herring, Scott
47van Dyck, Christopher H
48Carson, Richard E
49Macavoy, Martha G
50Chertkow, Howard
51Bergman, Howard
52Hosein, Chris
53Black, Sandra
54Stefanovic, Bojana
55Caldwell, Curtis
56Hsiung, Ging-Yuek Robin
57Feldman, Howard
58Mudge, Benita
59Assaly, Michele
60Kertesz, Andrew
61Rogers, John
62Trost, Dick
63Bernick, Charles
64Munic, Donna
65Kerwin, Diana
66Mesulam, Marek-Marsel
67Lipowski, Kristina
68Wu, Chuang-Kuo
69Johnson, Nancy
70Sadowsky, Carl
71Martinez, Walter
72Villena, Teresa
73Turner, Raymond Scott
74Johnson, Kathleen
75Reynolds, Brigid
76Sperling, Reisa A
77Johnson, Keith A
78Marshall, Gad
79Frey, Meghan
80Yesavage, Jerome
81Taylor, Joy L
82Lane, Barton
83Rosen, Allyson
84Tinklenberg, Jared
85Sabbagh, Marwan
86Belden, Christine
87Jacobson, Sandra
88Kowall, Neil
89Killiany, Ronald
90Budson, Andrew E
91Norbash, Alexander
92Johnson, Patricia Lynn
93Obisesan, Thomas O
94Wolday, Saba
95Bwayo, Salome K
96Lerner, Alan
97Hudson, Leon
98Ogrocki, Paula
99Fletcher, Evan
100...
jtitleNeuroImage
toplevelpeer_reviewed
delivery
delcategoryRemote Search Resource
fulltextfulltext
addata
aulast
0Augustinack
1Huber
2Stevens
3Roy
4Frosch
5van der Kouwe
6Wald
7Van Leemput
8McKee
9Fischl
aufirst
0Jean C
1Kristen E
2Allison A
3Michelle
4Matthew P
5André J W
6Lawrence L
7Koen
8Ann C
9Bruce
au
0Augustinack, Jean C
1Huber, Kristen E
2Stevens, Allison A
3Roy, Michelle
4Frosch, Matthew P
5van Der Kouwe, André J W
6Wald, Lawrence L
7Van Leemput, Koen
8Mckee, Ann C
9Fischl, Bruce
addau
0Lopez, Oscar L
1Oakley, MaryAnn
2Simpson, Donna M
3Porsteinsson, Anton P
4Goldstein, Bonnie S
5Martin, Kim
6Makino, Kelly M
7Ismail, M Saleem
8Brand, Connie
9Mulnard, Ruth A
10Thai, Gaby
11Mc-Adams-Ortiz, Catherine
12Womack, Kyle
13Mathews, Dana
14Quiceno, Mary
15Diaz-Arrastia, Ramon
16King, Richard
17Weiner, Myron
18Martin-Cook, Kristen
19DeVous, Michael
20Levey, Allan I
21Lah, James J
22Cellar, Janet S
23Burns, Jeffrey M
24Anderson, Heather S
25Swerdlow, Russell H
26Apostolova, Liana
27Lu, Po H
28Bartzokis, George
29Silverman, Daniel H S
30Graff-Radford, Neill R
31Parfitt, Francine
32Johnson, Heather
33Farlow, Martin R
34Hake, Ann Marie
35Matthews, Brandy R
36Herring, Scott
37van Dyck, Christopher H
38Carson, Richard E
39MacAvoy, Martha G
40Chertkow, Howard
41Bergman, Howard
42Hosein, Chris
43Black, Sandra
44Stefanovic, Bojana
45Caldwell, Curtis
46Hsiung, Ging-Yuek Robin
47Feldman, Howard
48Mudge, Benita
49Assaly, Michele
50Kertesz, Andrew
51Rogers, John
52Trost, Dick
53Bernick, Charles
54Munic, Donna
55Kerwin, Diana
56Mesulam, Marek-Marsel
57Lipowski, Kristina
58Wu, Chuang-Kuo
59Johnson, Nancy
60Sadowsky, Carl
61Martinez, Walter
62Villena, Teresa
63Turner, Raymond Scott
64Johnson, Kathleen
65Reynolds, Brigid
66Sperling, Reisa A
67Johnson, Keith A
68Marshall, Gad
69Frey, Meghan
70Yesavage, Jerome
71Taylor, Joy L
72Lane, Barton
73Rosen, Allyson
74Tinklenberg, Jared
75Sabbagh, Marwan
76Belden, Christine
77Jacobson, Sandra
78Kowall, Neil
79Killiany, Ronald
80Budson, Andrew E
81Norbash, Alexander
82Johnson, Patricia Lynn
83Obisesan, Thomas O
84Wolday, Saba
85Bwayo, Salome K
86Lerner, Alan
87Hudson, Leon
88Ogrocki, Paula
89Fletcher, Evan
90Carmichael, Owen
91Olichney, John
92DeCarli, Charles
93Kittur, Smita
94Borrie, Michael
95Lee, T-Y
96Bartha, Rob
97Johnson, Sterling
98Asthana, Sanjay
99Carlsson, Cynthia M
100...
atitlePredicting the location of human perirhinal cortex, Brodmann's area 35, from MRI.
jtitleNeuroImage
risdate20130101
volume64
spage32
epage42
pages32-42
eissn1095-9572
formatjournal
genrearticle
ristypeJOUR
doi10.1016/j.neuroimage.2012.08.071
urlhttp://search.proquest.com/docview/1273423349/
issue1
issn10538119
date2013-01-01