Midline cerebral morphometry distinguishes frontotemporal dementia and Alzheimer's disease. Kaufer, D. I., Miller, B. L., Itti, L., Fairbanks, L. A., Li, J., Fishman, J., Kushi, J., & Cummings, J. L. Neurology, 48(4):978-85, Department of Psychiatry, University of Pittsburgh School of Medicine, PA, USA., Apr, 1997. abstract bibtex We investigated and contrasted midline cerebral structures in frontotemporal dementia (FTD) and Alzheimer's disease (AD). FTD and AD may be difficult to distinguish clinically. FTD typically affects frontal and anterior temporal regions, whereas AD tends to involve more posterior temporal and parietal areas. We hypothesized that disease-specific cerebral alterations would be differentially reflected in corresponding regions of the corpus callosum (CC), pericallosal CSF space (PCS), or their ratio (CC:PCS). Regions-of-interest (ROIs) from midsagittal MRIs in 17 AD, 16 FTD, and 12 elderly control (EC) subjects were analyzed. ROIs were divided into four regions using an anatomic landmark-based computer algorithm and were adjusted for head size variation. FTD subjects had a much smaller anterior CC region and significantly larger PCS area, particularly in anterior regions. AD and EC subjects did not differ significantly in any total or regional ROI measure. Total and anterior CC:PCS ratios were markedly lower in FTD patients. Across groups, total CC:PCS correlated significantly with midsagittal cerebral area and was similarly associated with Mini-Mental State Examination score. Anterior CC (AD) and PCS (FTD) regions exhibited disease-specific relationships to these variables. A discriminant model using two ROI variables correctly classified 91% of AD and FTD patients, comparing favorably with blind clinical MRI diagnostic ratings. Midline cerebral structural alterations reflect differential patterns of cerebral degeneration in AD and FTD, yielding morphometric indices that may facilitate the study of brain-behavior relationships and differential diagnosis of dementia.
@article{ Kaufer_etal97,
author = { D. I. Kaufer and B. L. Miller and L. Itti and L. A. Fairbanks
and J. Li and J. Fishman and J. Kushi and J. L. Cummings },
title = { Midline cerebral morphometry distinguishes frontotemporal
dementia and Alzheimer's disease },
journal = {Neurology},
volume = {48},
number = {4},
pages = { 978-85 },
month = { Apr },
year = {1997},
keywords = { Aged ; Aged, 80 and over ; Algorithms ; Alzheimer Disease/*diagnosis/psychology
; Brain/*pathology ; Dementia/*diagnosis/psychology ; Diagnosis,
Differential ; Discriminant Analysis ; Female ; *Frontal
Lobe ; Human ; Magnetic Resonance Imaging ; Male ; Middle
Age ; Psychiatric Status Rating Scales ; Reference Values
; Support, Non-U.S. Gov't ; Support, U.S. Gov't, Non-P.H.S.
; Support, U.S. Gov't, P.H.S. ; *Temporal Lobe ; 1997/04/01
00:00 },
abstract = { We investigated and contrasted midline cerebral structures
in frontotemporal dementia (FTD) and Alzheimer's disease
(AD). FTD and AD may be difficult to distinguish clinically.
FTD typically affects frontal and anterior temporal regions,
whereas AD tends to involve more posterior temporal and
parietal areas. We hypothesized that disease-specific cerebral
alterations would be differentially reflected in corresponding
regions of the corpus callosum (CC), pericallosal CSF space
(PCS), or their ratio (CC:PCS). Regions-of-interest (ROIs)
from midsagittal MRIs in 17 AD, 16 FTD, and 12 elderly control
(EC) subjects were analyzed. ROIs were divided into four
regions using an anatomic landmark-based computer algorithm
and were adjusted for head size variation. FTD subjects
had a much smaller anterior CC region and significantly
larger PCS area, particularly in anterior regions. AD and
EC subjects did not differ significantly in any total or
regional ROI measure. Total and anterior CC:PCS ratios were
markedly lower in FTD patients. Across groups, total CC:PCS
correlated significantly with midsagittal cerebral area
and was similarly associated with Mini-Mental State Examination
score. Anterior CC (AD) and PCS (FTD) regions exhibited
disease-specific relationships to these variables. A discriminant
model using two ROI variables correctly classified 91% of
AD and FTD patients, comparing favorably with blind clinical
MRI diagnostic ratings. Midline cerebral structural alterations
reflect differential patterns of cerebral degeneration in
AD and FTD, yielding morphometric indices that may facilitate
the study of brain-behavior relationships and differential
diagnosis of dementia. },
address = { Department of Psychiatry, University of Pittsburgh School
of Medicine, PA, USA. },
type = {med},
if = {1998 impact factor: 4.972}
}
Downloads: 0
{"_id":{"_str":"5298a1a19eb585cc26000969"},"__v":0,"authorIDs":[],"author_short":["Kaufer, D.<nbsp>I.","Miller, B.<nbsp>L.","Itti, L.","Fairbanks, L.<nbsp>A.","Li, J.","Fishman, J.","Kushi, J.","Cummings, J.<nbsp>L."],"bibbaseid":"kaufer-miller-itti-fairbanks-li-fishman-kushi-cummings-midlinecerebralmorphometrydistinguishesfrontotemporaldementiaandalzheimersdisease-1997","bibdata":{"html":"<div class=\"bibbase_paper\"> \n\n\n<span class=\"bibbase_paper_titleauthoryear\">\n\t<span class=\"bibbase_paper_title\"><a name=\"Kaufer_etal97\"> </a>Midline cerebral morphometry distinguishes frontotemporal dementia and Alzheimer's disease.</span>\n\t<span class=\"bibbase_paper_author\">\nKaufer, D. I.; Miller, B. L.; Itti, L.; Fairbanks, L. A.; Li, J.; Fishman, J.; Kushi, J.; and Cummings, J. L.</span>\n\t<!-- <span class=\"bibbase_paper_year\">1997</span>. -->\n</span>\n\n\n\n<i>Neurology</i>,\n\n48(4):978-85.\n\nApr 1997.\n\n\n\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content\">\n \n \n \n <a href=\"javascript:showBib('Kaufer_etal97')\"\n class=\"bibbase link\">\n <!-- <img src=\"http://www.bibbase.org/img/filetypes/bib.png\" -->\n\t<!-- alt=\"Midline cerebral morphometry distinguishes frontotemporal dementia and Alzheimer's disease [bib]\" -->\n\t<!-- class=\"bibbase_icon\" -->\n\t<!-- style=\"width: 24px; height: 24px; border: 0px; vertical-align: text-top\"><span class=\"bibbase_icon_text\">Bibtex</span> -->\n BibTeX\n <i class=\"fa fa-caret-down\"></i></a>\n \n \n \n <a class=\"bibbase_abstract_link bibbase link\"\n href=\"javascript:showAbstract('Kaufer_etal97')\">\n Abstract\n <i class=\"fa fa-caret-down\"></i></a>\n \n \n \n\n \n \n \n</span>\n\n<div class=\"well well-small bibbase\" id=\"bib_Kaufer_etal97\"\n style=\"display:none\">\n <pre>@article{ Kaufer_etal97,\n author = { D. I. Kaufer and B. L. Miller and L. Itti and L. A. Fairbanks\n and J. Li and J. Fishman and J. Kushi and J. L. Cummings },\n title = { Midline cerebral morphometry distinguishes frontotemporal\n dementia and Alzheimer's disease },\n journal = {Neurology},\n volume = {48},\n number = {4},\n pages = { 978-85 },\n month = { Apr },\n year = {1997},\n keywords = { Aged ; Aged, 80 and over ; Algorithms ; Alzheimer Disease/*diagnosis/psychology\n ; Brain/*pathology ; Dementia/*diagnosis/psychology ; Diagnosis,\n Differential ; Discriminant Analysis ; Female ; *Frontal\n Lobe ; Human ; Magnetic Resonance Imaging ; Male ; Middle\n Age ; Psychiatric Status Rating Scales ; Reference Values\n ; Support, Non-U.S. Gov't ; Support, U.S. Gov't, Non-P.H.S.\n ; Support, U.S. Gov't, P.H.S. ; *Temporal Lobe ; 1997/04/01\n 00:00 },\n abstract = { We investigated and contrasted midline cerebral structures\n in frontotemporal dementia (FTD) and Alzheimer's disease\n (AD). FTD and AD may be difficult to distinguish clinically.\n FTD typically affects frontal and anterior temporal regions,\n whereas AD tends to involve more posterior temporal and\n parietal areas. We hypothesized that disease-specific cerebral\n alterations would be differentially reflected in corresponding\n regions of the corpus callosum (CC), pericallosal CSF space\n (PCS), or their ratio (CC:PCS). Regions-of-interest (ROIs)\n from midsagittal MRIs in 17 AD, 16 FTD, and 12 elderly control\n (EC) subjects were analyzed. ROIs were divided into four\n regions using an anatomic landmark-based computer algorithm\n and were adjusted for head size variation. FTD subjects\n had a much smaller anterior CC region and significantly\n larger PCS area, particularly in anterior regions. AD and\n EC subjects did not differ significantly in any total or\n regional ROI measure. Total and anterior CC:PCS ratios were\n markedly lower in FTD patients. Across groups, total CC:PCS\n correlated significantly with midsagittal cerebral area\n and was similarly associated with Mini-Mental State Examination\n score. Anterior CC (AD) and PCS (FTD) regions exhibited\n disease-specific relationships to these variables. A discriminant\n model using two ROI variables correctly classified 91% of\n AD and FTD patients, comparing favorably with blind clinical\n MRI diagnostic ratings. Midline cerebral structural alterations\n reflect differential patterns of cerebral degeneration in\n AD and FTD, yielding morphometric indices that may facilitate\n the study of brain-behavior relationships and differential\n diagnosis of dementia. },\n address = { Department of Psychiatry, University of Pittsburgh School\n of Medicine, PA, USA. },\n type = {med},\n if = {1998 impact factor: 4.972}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" id=\"abstract_Kaufer_etal97\"\n style=\"display:none\">\n We investigated and contrasted midline cerebral structures in frontotemporal dementia (FTD) and Alzheimer's disease (AD). FTD and AD may be difficult to distinguish clinically. FTD typically affects frontal and anterior temporal regions, whereas AD tends to involve more posterior temporal and parietal areas. We hypothesized that disease-specific cerebral alterations would be differentially reflected in corresponding regions of the corpus callosum (CC), pericallosal CSF space (PCS), or their ratio (CC:PCS). Regions-of-interest (ROIs) from midsagittal MRIs in 17 AD, 16 FTD, and 12 elderly control (EC) subjects were analyzed. ROIs were divided into four regions using an anatomic landmark-based computer algorithm and were adjusted for head size variation. FTD subjects had a much smaller anterior CC region and significantly larger PCS area, particularly in anterior regions. AD and EC subjects did not differ significantly in any total or regional ROI measure. Total and anterior CC:PCS ratios were markedly lower in FTD patients. Across groups, total CC:PCS correlated significantly with midsagittal cerebral area and was similarly associated with Mini-Mental State Examination score. Anterior CC (AD) and PCS (FTD) regions exhibited disease-specific relationships to these variables. A discriminant model using two ROI variables correctly classified 91% of AD and FTD patients, comparing favorably with blind clinical MRI diagnostic ratings. Midline cerebral structural alterations reflect differential patterns of cerebral degeneration in AD and FTD, yielding morphometric indices that may facilitate the study of brain-behavior relationships and differential diagnosis of dementia.\n</div>\n\n\n</div>\n","downloads":0,"keyword":["Aged ; Aged","80 and over ; Algorithms ; Alzheimer Disease/*diagnosis/psychology ; Brain/*pathology ; Dementia/*diagnosis/psychology ; Diagnosis","Differential ; Discriminant Analysis ; Female ; *Frontal Lobe ; Human ; Magnetic Resonance Imaging ; Male ; Middle Age ; Psychiatric Status Rating Scales ; Reference Values ; Support","Non-U.S. Gov't ; Support","U.S. Gov't","Non-P.H.S. ; Support","U.S. Gov't","P.H.S. ; *Temporal Lobe ; 1997/04/01 00:00"],"bibbaseid":"kaufer-miller-itti-fairbanks-li-fishman-kushi-cummings-midlinecerebralmorphometrydistinguishesfrontotemporaldementiaandalzheimersdisease-1997","role":"author","year":"1997","volume":"48","type":"med","title":"Midline cerebral morphometry distinguishes frontotemporal dementia and Alzheimer's disease","pages":"978-85","number":"4","month":"Apr","keywords":"Aged ; Aged, 80 and over ; Algorithms ; Alzheimer Disease/*diagnosis/psychology ; Brain/*pathology ; Dementia/*diagnosis/psychology ; Diagnosis, Differential ; Discriminant Analysis ; Female ; *Frontal Lobe ; Human ; Magnetic Resonance Imaging ; Male ; Middle Age ; Psychiatric Status Rating Scales ; Reference Values ; Support, Non-U.S. Gov't ; Support, U.S. Gov't, Non-P.H.S. ; Support, U.S. Gov't, P.H.S. ; *Temporal Lobe ; 1997/04/01 00:00","key":"Kaufer_etal97","journal":"Neurology","if":"1998 impact factor: 4.972","id":"Kaufer_etal97","bibtype":"article","bibtex":"@article{ Kaufer_etal97,\n author = { D. I. Kaufer and B. L. Miller and L. Itti and L. A. Fairbanks\n and J. Li and J. Fishman and J. Kushi and J. L. Cummings },\n title = { Midline cerebral morphometry distinguishes frontotemporal\n dementia and Alzheimer's disease },\n journal = {Neurology},\n volume = {48},\n number = {4},\n pages = { 978-85 },\n month = { Apr },\n year = {1997},\n keywords = { Aged ; Aged, 80 and over ; Algorithms ; Alzheimer Disease/*diagnosis/psychology\n ; Brain/*pathology ; Dementia/*diagnosis/psychology ; Diagnosis,\n Differential ; Discriminant Analysis ; Female ; *Frontal\n Lobe ; Human ; Magnetic Resonance Imaging ; Male ; Middle\n Age ; Psychiatric Status Rating Scales ; Reference Values\n ; Support, Non-U.S. Gov't ; Support, U.S. Gov't, Non-P.H.S.\n ; Support, U.S. Gov't, P.H.S. ; *Temporal Lobe ; 1997/04/01\n 00:00 },\n abstract = { We investigated and contrasted midline cerebral structures\n in frontotemporal dementia (FTD) and Alzheimer's disease\n (AD). FTD and AD may be difficult to distinguish clinically.\n FTD typically affects frontal and anterior temporal regions,\n whereas AD tends to involve more posterior temporal and\n parietal areas. We hypothesized that disease-specific cerebral\n alterations would be differentially reflected in corresponding\n regions of the corpus callosum (CC), pericallosal CSF space\n (PCS), or their ratio (CC:PCS). Regions-of-interest (ROIs)\n from midsagittal MRIs in 17 AD, 16 FTD, and 12 elderly control\n (EC) subjects were analyzed. ROIs were divided into four\n regions using an anatomic landmark-based computer algorithm\n and were adjusted for head size variation. FTD subjects\n had a much smaller anterior CC region and significantly\n larger PCS area, particularly in anterior regions. AD and\n EC subjects did not differ significantly in any total or\n regional ROI measure. Total and anterior CC:PCS ratios were\n markedly lower in FTD patients. Across groups, total CC:PCS\n correlated significantly with midsagittal cerebral area\n and was similarly associated with Mini-Mental State Examination\n score. Anterior CC (AD) and PCS (FTD) regions exhibited\n disease-specific relationships to these variables. A discriminant\n model using two ROI variables correctly classified 91% of\n AD and FTD patients, comparing favorably with blind clinical\n MRI diagnostic ratings. Midline cerebral structural alterations\n reflect differential patterns of cerebral degeneration in\n AD and FTD, yielding morphometric indices that may facilitate\n the study of brain-behavior relationships and differential\n diagnosis of dementia. },\n address = { Department of Psychiatry, University of Pittsburgh School\n of Medicine, PA, USA. },\n type = {med},\n if = {1998 impact factor: 4.972}\n}","author_short":["Kaufer, D.<nbsp>I.","Miller, B.<nbsp>L.","Itti, L.","Fairbanks, L.<nbsp>A.","Li, J.","Fishman, J.","Kushi, J.","Cummings, J.<nbsp>L."],"author":["Kaufer, D. I.","Miller, B. L.","Itti, L.","Fairbanks, L. A.","Li, J.","Fishman, J.","Kushi, J.","Cummings, J. L."],"address":"Department of Psychiatry, University of Pittsburgh School of Medicine, PA, USA.","abstract":"We investigated and contrasted midline cerebral structures in frontotemporal dementia (FTD) and Alzheimer's disease (AD). FTD and AD may be difficult to distinguish clinically. FTD typically affects frontal and anterior temporal regions, whereas AD tends to involve more posterior temporal and parietal areas. We hypothesized that disease-specific cerebral alterations would be differentially reflected in corresponding regions of the corpus callosum (CC), pericallosal CSF space (PCS), or their ratio (CC:PCS). Regions-of-interest (ROIs) from midsagittal MRIs in 17 AD, 16 FTD, and 12 elderly control (EC) subjects were analyzed. ROIs were divided into four regions using an anatomic landmark-based computer algorithm and were adjusted for head size variation. FTD subjects had a much smaller anterior CC region and significantly larger PCS area, particularly in anterior regions. AD and EC subjects did not differ significantly in any total or regional ROI measure. Total and anterior CC:PCS ratios were markedly lower in FTD patients. Across groups, total CC:PCS correlated significantly with midsagittal cerebral area and was similarly associated with Mini-Mental State Examination score. Anterior CC (AD) and PCS (FTD) regions exhibited disease-specific relationships to these variables. A discriminant model using two ROI variables correctly classified 91% of AD and FTD patients, comparing favorably with blind clinical MRI diagnostic ratings. Midline cerebral structural alterations reflect differential patterns of cerebral degeneration in AD and FTD, yielding morphometric indices that may facilitate the study of brain-behavior relationships and differential diagnosis of dementia."},"bibtype":"article","biburl":"http://ilab.usc.edu/publications/src/ilab.bib","downloads":0,"search_terms":["midline","cerebral","morphometry","distinguishes","frontotemporal","dementia","alzheimer","disease","kaufer","miller","itti","fairbanks","li","fishman","kushi","cummings"],"title":"Midline cerebral morphometry distinguishes frontotemporal dementia and Alzheimer's disease","year":1997,"dataSources":["wedBDxEpNXNCLZ2sZ"]}