Damage to the cingulum contributes to alzheimer's disease pathophysiology by deafferentation mechanism
This study investigates the differential contribution of gray matter (GM) atrophy and deafferentation through white matter (WM) damage in the clinical progression of Alzheimer's disease (AD). Thirty‐one patients with probable AD, 23 with amnestic mild cognitive impairment (a‐MCI), and 14 health...
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Published in | Human brain mapping Vol. 33; no. 6; pp. 1295 - 1308 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.06.2012
Wiley-Liss John Wiley & Sons, Inc |
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Online Access | Get full text |
ISSN | 1065-9471 1097-0193 1097-0193 |
DOI | 10.1002/hbm.21287 |
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Abstract | This study investigates the differential contribution of gray matter (GM) atrophy and deafferentation through white matter (WM) damage in the clinical progression of Alzheimer's disease (AD). Thirty‐one patients with probable AD, 23 with amnestic mild cognitive impairment (a‐MCI), and 14 healthy subjects underwent MRI scanning at 3T. Voxel‐based morphometry was used to assess regional GM atrophy in AD and a‐MCI patients. Diffusion tensor‐MRI tractography was used to reconstruct the cingulum bilaterally, and to quantify, voxel‐by‐voxel, its fractional anisotropy (FA) and mean diffusivity (MD) (measures of microscopic WM integrity). Atrophy of the cinguli was also assessed by means of jacobian determinants (JD) of local transformations. In AD patients, four clusters of reduced GM were found nearby the cinguli, in the posterior (PCC) and anterior cingulate cortex, and in the hippocampal/parahippocampal areas. Widespread areas of reduced FA and increased MD were found in the cinguli of both, AD and a‐MCI patients. A region of macroscopic atrophy was detectable in AD patients only. Strong associations were found between local GM densities in the four identified clusters, and measures of micro‐ and (to a lesser extent) macroscopic damage of patients' cinguli. Linear regression analyses revealed that MD in the cinguli predicts patients' measures of episodic memory in combination with GM density of hippocampal/parahippocampal areas, and measures of global cognition in combination with GM density of the PCC. This study indicates that brain deafferentation though the cingulum is likely to play a remarkable role in progressive development of cognitive impairment in AD. Hum Brain Mapp, 2011. © 2011 Wiley‐Liss, Inc. |
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AbstractList | This study investigates the differential contribution of gray matter (GM) atrophy and deafferentation through white matter (WM) damage in the clinical progression of Alzheimer's disease (AD). Thirty‐one patients with probable AD, 23 with amnestic mild cognitive impairment (a‐MCI), and 14 healthy subjects underwent MRI scanning at 3T. Voxel‐based morphometry was used to assess regional GM atrophy in AD and a‐MCI patients. Diffusion tensor‐MRI tractography was used to reconstruct the cingulum bilaterally, and to quantify, voxel‐by‐voxel, its fractional anisotropy (FA) and mean diffusivity (MD) (measures of microscopic WM integrity). Atrophy of the cinguli was also assessed by means of jacobian determinants (JD) of local transformations. In AD patients, four clusters of reduced GM were found nearby the cinguli, in the posterior (PCC) and anterior cingulate cortex, and in the hippocampal/parahippocampal areas. Widespread areas of reduced FA and increased MD were found in the cinguli of both, AD and a‐MCI patients. A region of macroscopic atrophy was detectable in AD patients only. Strong associations were found between local GM densities in the four identified clusters, and measures of micro‐ and (to a lesser extent) macroscopic damage of patients' cinguli. Linear regression analyses revealed that MD in the cinguli predicts patients' measures of episodic memory in combination with GM density of hippocampal/parahippocampal areas, and measures of global cognition in combination with GM density of the PCC. This study indicates that brain deafferentation though the cingulum is likely to play a remarkable role in progressive development of cognitive impairment in AD. Hum Brain Mapp, 2011. © 2011 Wiley‐Liss, Inc. This study investigates the differential contribution of gray matter (GM) atrophy and deafferentation through white matter (WM) damage in the clinical progression of Alzheimer's disease (AD). Thirty-one patients with probable AD, 23 with amnestic mild cognitive impairment (a-MCI), and 14 healthy subjects underwent MRI scanning at 3T. Voxel-based morphometry was used to assess regional GM atrophy in AD and a-MCI patients. Diffusion tensor-MRI tractography was used to reconstruct the cingulum bilaterally, and to quantify, voxel-by-voxel, its fractional anisotropy (FA) and mean diffusivity (MD) (measures of microscopic WM integrity). Atrophy of the cinguli was also assessed by means of jacobian determinants (JD) of local transformations. In AD patients, four clusters of reduced GM were found nearby the cinguli, in the posterior (PCC) and anterior cingulate cortex, and in the hippocampal/parahippocampal areas. Widespread areas of reduced FA and increased MD were found in the cinguli of both, AD and a-MCI patients. A region of macroscopic atrophy was detectable in AD patients only. Strong associations were found between local GM densities in the four identified clusters, and measures of micro- and (to a lesser extent) macroscopic damage of patients' cinguli. Linear regression analyses revealed that MD in the cinguli predicts patients' measures of episodic memory in combination with GM density of hippocampal/parahippocampal areas, and measures of global cognition in combination with GM density of the PCC. This study indicates that brain deafferentation though the cingulum is likely to play a remarkable role in progressive development of cognitive impairment in AD. This study investigates the differential contribution of gray matter (GM) atrophy and deafferentation through white matter (WM) damage in the clinical progression of Alzheimer's disease (AD). Thirty-one patients with probable AD, 23 with amnestic mild cognitive impairment (a-MCI), and 14 healthy subjects underwent MRI scanning at 3T. Voxel-based morphometry was used to assess regional GM atrophy in AD and a-MCI patients. Diffusion tensor-MRI tractography was used to reconstruct the cingulum bilaterally, and to quantify, voxel-by-voxel, its fractional anisotropy (FA) and mean diffusivity (MD) (measures of microscopic WM integrity). Atrophy of the cinguli was also assessed by means of jacobian determinants (JD) of local transformations. In AD patients, four clusters of reduced GM were found nearby the cinguli, in the posterior (PCC) and anterior cingulate cortex, and in the hippocampal/parahippocampal areas. Widespread areas of reduced FA and increased MD were found in the cinguli of both, AD and a-MCI patients. A region of macroscopic atrophy was detectable in AD patients only. Strong associations were found between local GM densities in the four identified clusters, and measures of micro- and (to a lesser extent) macroscopic damage of patients' cinguli. Linear regression analyses revealed that MD in the cinguli predicts patients' measures of episodic memory in combination with GM density of hippocampal/parahippocampal areas, and measures of global cognition in combination with GM density of the PCC. This study indicates that brain deafferentation though the cingulum is likely to play a remarkable role in progressive development of cognitive impairment in AD.This study investigates the differential contribution of gray matter (GM) atrophy and deafferentation through white matter (WM) damage in the clinical progression of Alzheimer's disease (AD). Thirty-one patients with probable AD, 23 with amnestic mild cognitive impairment (a-MCI), and 14 healthy subjects underwent MRI scanning at 3T. Voxel-based morphometry was used to assess regional GM atrophy in AD and a-MCI patients. Diffusion tensor-MRI tractography was used to reconstruct the cingulum bilaterally, and to quantify, voxel-by-voxel, its fractional anisotropy (FA) and mean diffusivity (MD) (measures of microscopic WM integrity). Atrophy of the cinguli was also assessed by means of jacobian determinants (JD) of local transformations. In AD patients, four clusters of reduced GM were found nearby the cinguli, in the posterior (PCC) and anterior cingulate cortex, and in the hippocampal/parahippocampal areas. Widespread areas of reduced FA and increased MD were found in the cinguli of both, AD and a-MCI patients. A region of macroscopic atrophy was detectable in AD patients only. Strong associations were found between local GM densities in the four identified clusters, and measures of micro- and (to a lesser extent) macroscopic damage of patients' cinguli. Linear regression analyses revealed that MD in the cinguli predicts patients' measures of episodic memory in combination with GM density of hippocampal/parahippocampal areas, and measures of global cognition in combination with GM density of the PCC. This study indicates that brain deafferentation though the cingulum is likely to play a remarkable role in progressive development of cognitive impairment in AD. This study investigates the differential contribution of gray matter (GM) atrophy and deafferentation through white matter (WM) damage in the clinical progression of Alzheimer's disease (AD). Thirty-one patients with probable AD, 23 with amnestic mild cognitive impairment (a-MCI), and 14 healthy subjects underwent MRI scanning at 3T. Voxel-based morphometry was used to assess regional GM atrophy in AD and a-MCI patients. Diffusion tensor-MRI tractography was used to reconstruct the cingulum bilaterally, and to quantify, voxel-by-voxel, its fractional anisotropy (FA) and mean diffusivity (MD) (measures of microscopic WM integrity). Atrophy of the cinguli was also assessed by means of jacobian determinants (JD) of local transformations. In AD patients, four clusters of reduced GM were found nearby the cinguli, in the posterior (PCC) and anterior cingulate cortex, and in the hippocampal/parahippocampal areas. Widespread areas of reduced FA and increased MD were found in the cinguli of both, AD and a-MCI patients. A region of macroscopic atrophy was detectable in AD patients only. Strong associations were found between local GM densities in the four identified clusters, and measures of micro- and (to a lesser extent) macroscopic damage of patients' cinguli. Linear regression analyses revealed that MD in the cinguli predicts patients' measures of episodic memory in combination with GM density of hippocampal/parahippocampal areas, and measures of global cognition in combination with GM density of the PCC. This study indicates that brain deafferentation though the cingulum is likely to play a remarkable role in progressive development of cognitive impairment in AD. Hum Brain Mapp, 2011. © 2011 Wiley-Liss, Inc. [PUBLICATION ABSTRACT] |
Author | Cercignani, Mara Serra, Laura Giubilei, Franco Marra, Camillo Basile, Barbara Caltagirone, Carlo Giulietti, Giovanni Spanò, Barbara Perri, Roberta Bozzali, Marco |
AuthorAffiliation | 3 Department of Clinical and Behavioural Neurology, Santa Lucia Foundation, IRCCS, Via Ardeatina 306, 00179 Rome, Italy 5 Institute of Neurology, Università Cattolica, L.go A. Gemelli 8, 00168 Rome, Italy 2 Laboratorio di Neurobioimmagini, IRCCS Centro Neurolesi ‘Bonino‐Pulejo’, S.S. 113, Via Palermo, Cntr. Casazza, 98124 Messina, Italy 6 Department of Neuroscience, University of Rome ‘Tor Vergata’, Via Mont Pelier 1, 00133 Rome, Italy 4 Department of Neurological Science, II Faculty of Medicine, ‘Sapienza’ University of Rome, Via di Grottarossa 1035, I‐00189, Rome, Italy 1 Neuroimaging Laboratory, Santa Lucia Foundation, IRCCS, Via Ardeatina 306, 00179 Rome, Italy |
AuthorAffiliation_xml | – name: 1 Neuroimaging Laboratory, Santa Lucia Foundation, IRCCS, Via Ardeatina 306, 00179 Rome, Italy – name: 2 Laboratorio di Neurobioimmagini, IRCCS Centro Neurolesi ‘Bonino‐Pulejo’, S.S. 113, Via Palermo, Cntr. Casazza, 98124 Messina, Italy – name: 5 Institute of Neurology, Università Cattolica, L.go A. Gemelli 8, 00168 Rome, Italy – name: 3 Department of Clinical and Behavioural Neurology, Santa Lucia Foundation, IRCCS, Via Ardeatina 306, 00179 Rome, Italy – name: 4 Department of Neurological Science, II Faculty of Medicine, ‘Sapienza’ University of Rome, Via di Grottarossa 1035, I‐00189, Rome, Italy – name: 6 Department of Neuroscience, University of Rome ‘Tor Vergata’, Via Mont Pelier 1, 00133 Rome, Italy |
Author_xml | – sequence: 1 givenname: Marco surname: Bozzali fullname: Bozzali, Marco email: m.bozzali@hsantalucia.it organization: Neuroimaging Laboratory, Santa Lucia Foundation, IRCCS, Via Ardeatina 306, 00179 Rome, Italy – sequence: 2 givenname: Giovanni surname: Giulietti fullname: Giulietti, Giovanni organization: Neuroimaging Laboratory, Santa Lucia Foundation, IRCCS, Via Ardeatina 306, 00179 Rome, Italy – sequence: 3 givenname: Barbara surname: Basile fullname: Basile, Barbara organization: Neuroimaging Laboratory, Santa Lucia Foundation, IRCCS, Via Ardeatina 306, 00179 Rome, Italy – sequence: 4 givenname: Laura surname: Serra fullname: Serra, Laura organization: Neuroimaging Laboratory, Santa Lucia Foundation, IRCCS, Via Ardeatina 306, 00179 Rome, Italy – sequence: 5 givenname: Barbara surname: Spanò fullname: Spanò, Barbara organization: Neuroimaging Laboratory, Santa Lucia Foundation, IRCCS, Via Ardeatina 306, 00179 Rome, Italy – sequence: 6 givenname: Roberta surname: Perri fullname: Perri, Roberta organization: Department of Clinical and Behavioural Neurology, Santa Lucia Foundation, IRCCS, Via Ardeatina 306, 00179 Rome, Italy – sequence: 7 givenname: Franco surname: Giubilei fullname: Giubilei, Franco organization: Department of Neurological Science, II Faculty of Medicine, 'Sapienza' University of Rome, Via di Grottarossa 1035, I-00189, Rome, Italy – sequence: 8 givenname: Camillo surname: Marra fullname: Marra, Camillo organization: Institute of Neurology, Università Cattolica, L.go A. Gemelli 8, 00168 Rome, Italy – sequence: 9 givenname: Carlo surname: Caltagirone fullname: Caltagirone, Carlo organization: Department of Clinical and Behavioural Neurology, Santa Lucia Foundation, IRCCS, Via Ardeatina 306, 00179 Rome, Italy – sequence: 10 givenname: Mara surname: Cercignani fullname: Cercignani, Mara organization: Neuroimaging Laboratory, Santa Lucia Foundation, IRCCS, Via Ardeatina 306, 00179 Rome, Italy |
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Keywords | VBM Nervous system diseases AD Pathophysiology Radiodiagnosis Alzheimer disease Tractography Nuclear magnetic resonance imaging Cerebral disorder MCI cingulum Central nervous system disease DT-MRI Degenerative disease Deafferentation |
Language | English |
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PublicationCentury | 2000 |
PublicationDate | June 2012 |
PublicationDateYYYYMMDD | 2012-06-01 |
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PublicationDecade | 2010 |
PublicationPlace | Hoboken |
PublicationPlace_xml | – name: Hoboken – name: New York, NY – name: United States – name: San Antonio |
PublicationTitle | Human brain mapping |
PublicationTitleAlternate | Hum. Brain Mapp |
PublicationYear | 2012 |
Publisher | Wiley Subscription Services, Inc., A Wiley Company Wiley-Liss John Wiley & Sons, Inc |
Publisher_xml | – name: Wiley Subscription Services, Inc., A Wiley Company – name: Wiley-Liss – name: John Wiley & Sons, Inc |
References | Heiervang E, Behrens TE, Mackay CE, Robson MD, Johansen-Berg H ( 2006): Between session reproducibility and between subject variability of diffusion MR and tractography measures. Neuroimage 33: 867-877. Zhang Y, Schuff N, Jahng GH, Bayne W, Mori S, Schad L, Mueller S, Du AT, Kramer JH, Yaffe K, Chui H, Jagust WJ, Miller BL, Weiner MW ( 2007): Diffusion tensor imaging of cingulum fibers in mild cognitive impairment and Alzheimer disease. Neurology 68: 13-19. Scahill RI, Schott JM, Stevens JM, Rossor MN, Fox NC ( 2002): Mapping the evolution of regional atrophy in Alzheimer's disease: Unbiased analysis of fluid-registered serial MRI. Proc Natl Acad Sci USA 99: 4703-4707. Ashburner J, Friston KJ ( 2001): Why voxel-based morphometry should be used. Neuroimage 14: 1238-1243. Petersen RC ( 2004): Mild cognitive impairment as a diagnostic entity. J Intern Med 256: 183-194. Gomez-Isla T, Price JL, McKeel DWJr., Morris JC, Growdon JH, Hyman BT ( 1996): Profound loss of layer II entorhinal cortex neurons occurs in very mild Alzheimer's disease. J Neurosci 16: 4491-4500. Parker GJ, Haroon HA, Wheeler-Kingshott CA ( 2003): A framework for a streamline-based probabilistic index of connectivity (PICo) using a structural interpretation of MRI diffusion measurements. J Magn Reson Imaging 18: 242-254. Desgranges B, Baron JC, Lalevée C, Giffard B, Viader F, de La Sayette V, Eustache F ( 2002): The neural substrates of episodic memory impairment in Alzheimer's disease as revealed by FDG-PET: relationship to degree of deterioration. Brain 125: 1116-1124. Carlesimo GA, Caltagirone C, Gainotti G ( 1996): The Mental Deterioration Battery: normative data, diagnostic reliability and qualitative analyses of cognitive impairment. The Group for the Standardization of the Mental Deterioration Battery. Eur Neurol 36: 378-384. Fellgiebel A, Müller MJ, Wille P, Dellani PR, Scheurich A, Schmidt LG, et al. ( 2005): Color-coded diffusion-tensor-imaging of posterior cingulate fiber tracts in mild cognitive impairment. Neurobiol Aging 26: 1193-1198. Worsley KJ, Evans AC, Marrett S, Neelin P ( 1992): A three-dimensional statistical analysis for CBF activation studies in human brain. J Cereb Blood Flow Metab 12: 900-918. Bozzali M, Falini A, Franceschi M, Cercignani M, Zuffi M, Scotti G, Comi G, Filippi M ( 2002): White matter damage in Alzheimer's disease assessed in vivo using diffusion tensor magnetic resonance imaging. J Neurol Neurosurg Psychiatry 72: 742-746. Whitwell JL, Przybelski SA, Weigand SD, Knopman DS, Boeve BF, Petersen RC, Jack CR Jr ( 2007): 3D maps from multiple MRI illustrate changing atrophy patterns as subjects progress from mild cognitive impairment to Alzheimer's disease. Brain 130: 1777-1786. Chételat G, Landeau B, Eustache F, Mézenge F, Viader F, de la Sayette V, Desgranges B, Baron JC ( 2005): Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: a longitudinal MRI study. Neuroimage 27: 934-946. Ashburner J, Friston KJ ( 2005): Unified segmentation. Neuroimage 26: 839-851. Magni E, Binetti G, Padovani A, Cappa SF, Bianchetti A, Trabucchi M ( 1996): The Mini-Mental State Examination in Alzheimer's disease and multi-infarct dementia. Int Psychogeriatr 8: 127-134. Bozzali M, Filippi M, Magnani G, Cercignani M, Franceschi M, Schiatti E, Castiglioni S, Mossini R, Falautano M, Scotti G, Comi G, Falini A ( 2006): The contribution of voxel-based morphometry in staging patients with mild cognitive impairment. Neurology 67: 453-460. Pagani E, Horsfield MA, Rocca MA, Filippi M ( 2007): Assessing atrophy of the major white matter fiber bundles of the brain from diffusion tensor MRI data. Magn Reson Med 58: 527-534. Bozzali M, Cercignani M, Caltagirone C ( 2008): Brain volumetrics to investigate aging and the principal forms of degenerative cognitive decline: A brief review. Magn Reson Imaging 26: 1065-1070. Pengas G, Hodges JR, Watson P, Nestor PJ ( 2010): Focal posterior cingulate atrophy in incipient Alzheimer's disease. Neurobiol Aging 31 25-33. De Blese R, Denes G, Luzzatti C, Mazzocchi A, Poeck K, Spinnler H, Willmes K ( 1986): L'Aachener Aphasie test I: Problemi e soluzioni per una versione italiana del test e per uno studio crosslinguistico dei disturbi afasici. Arch Psicol Neurol Psichiatr 47: 209-236. Smith SM, Nichols TE ( 2009): Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage 44: 83-98. Raichle ME, Snyder AZ ( 2007): A default mode of brain function: A brief history of an evolving idea. Neuroimage 37: 1083-1090; discussion 1097-1099. Choo IH, Lee DY, Oh JS, Lee JS, Lee DS, Song IC, et al. ( 2010): Posterior cingulate cortex atrophy and regional cingulum disruption in mild cognitive impairment and Alzheimer's disease. Neurobiol Aging 31: 772-779. Pierpaoli C, Basser PJ ( 1996): Toward a quantitative assessment of diffusion anisotropy. Magn Reson Med 36: 893-906. Serra L, Cercignani M, Lenzi D, Perri R, Fadda L, Caltagirone C, Macaluso E, Bozzali M ( 2010a): Grey and white matter changes at different stages of Alzheimer's disease. J Alzheimers Dis 19: 47-59. Braak H, Braak E ( 1991): Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol 82: 239-259. Orsini A, Grossi D, Capitani E, Laiacona M, Papagno C, Vallar G ( 1987): Verbal and spatial immediate memory span: Normative data from 1355 adults and 1112 children. Ital J Neurol Sci 8: 539-554. Wakana S, Caprihan A, Panzenboeck MM, Fallon JH, Perry M, Gollub RL, Hua K, Zhang J, Jiang H, Dubey P, Blitz A, van Zijl P, Mori S ( 2007): Reproducibility of quantitative tractography methods applied to cerebral white matter. Neuroimage 36: 630-644. Basser PJ, Mattiello J, LeBihan D ( 1994): Estimation of the effective self-diffusion tensor from the NMR spin echo. J Magn Reson B 103: 247-254. Nocentini U, Di Vincenzo S, Panella M, Pasqualetti P, Caltagirone C ( 2002). La valutazione delle funzioni esecutive nella pratica neuropsicologica: dal Modified Card Sorting Test al Modified Card Sorting Test-Roma Version. Dati di standardizzazione. Nuova Rivista di Neurologia 12: 14-24. Greicius MD, Krasnow B, Reiss AL, Menon V ( 2003): Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci U S A 100: 253-258. Pajevic S, Pierpaoli C ( 1999): Color schemes to represent the orientation of anisotropic tissues from diffusion tensor data: Application to white matter fiber tract mapping in the human brain. Magn Reson Med 42: 526-540. Chételat G, Villemagne VL, Bourgeat P, Pike KE, Jones G, Ames D, Ellis KA, Szoeke C, Martins RN, O'Keefe GJ, Salvado O, Masters CL, Rowe CC ( 2010): Relationship between atrophy and beta-amyloid deposition in Alzheimer disease. Ann Neurol 67: 317-324. Villain N, Fouquet M, Baron JC, Mézenge F, Landeau B, de La Sayette V, Viader F, Eustache F, Desgranges B, Chételat G ( 2010): Sequential relationships between grey matter and white matter atrophy and brain metabolic abnormalities in early Alzheimer's disease. Brain 133: 3301-3314. Ashburner J, Friston KJ ( 2000): Voxel-based morphometry-the methods. Neuroimage 11: 805-821. Buckner RL ( 2004): Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate. Neuron 44: 195-208. McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM ( 1984): Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology 34: 939-944. Catheline G, Periot O, Amirault M, Braun M, Dartigues JF, Auriacombe S, Allard M ( 2010): Distinctive alterations of the cingulum bundle during aging and Alzheimer's disease. Neurobiol Aging 31: 1582-1592. Braak H, Braak E ( 1995): Staging of Alzheimer's disease-related neurofibrillary changes. Neurobiol Aging 16: 271-278; discussion 278-284. Karas GB, Scheltens P, Rombouts SA, Visser PJ, van Schijndel RA, Fox NC, Barkhof F ( 2004): Global and local gray matter loss in mild cognitive impairment and Alzheimer's disease. Neuroimage 23: 708-716. Hughes CP, Berg L, Danziger WL, Coben LA, Martin RL ( 1982): A new clinical scale for the staging of dementia. Br J Psychiatry 40: 566-572. Gili T, Cercignani M, Serra L, Perri R, Giove F, Maraviglia B, Caltagirone C, Bozzali M ( 2011): Regional brain atrophy and functional disconnection across Alzheimer's disease evolution. J Neurol Neurosurg Psychiatry 82: 58-66. Folstein MF, Folstein SE, McHugh PR ( 1975): Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12: 189-198. Mosconi L ( 2005): Brain glucose metabolism in the early and specific diagnosis of Alzheimer's disease. FDG-PET studies in MCI and AD. Eur J Nucl Med Mol Imaging 32: 486-510. Petersen RC, Doody R, Kurz A, Mohs RC, Morris JC, Rabins PV, Ritchie K, Rossor M, Thal L, Winblad B ( 2001): Current concepts in mild cognitive impairment. Arch Neurol 58: 1985-1992. Serra L, Perri R, Cercignani M, Spanò B, Fadda L, Marra C, Carlesimo GA, Caltagirone C, Bozzali M ( 2010b): Are the Behavioral Symptoms of Alzheimer's Disease Directly Associated with Neurodegeneration? J Alzheimers Dis 21: 627-639. Xie S, Xiao JX, Wang YH, Wu HK, Gong GL, Jiang XX ( 2005): Evaluation of bilateral cingulum with tractography in patients with Alzheimer's disease. Neuroreport 16: 1275-1278. Villain N, Desgranges B, Viader F, de la Sayette V, Mézenge F, Landeau B, Baron JC, Eustache F, Chételat G ( 2008): Relationships between hippocampal atrophy, white matter disruption, and gray matter hypometabolism in Alzheimer's disease. J Neurosci 28: 6174-6181. Sorg C, Riedl V, Mühlau M, Calhoun VD, Eichele T, Läer L, Drzezga A, Förstl H, Kurz A, Zimmer C, Wohlschläger AM ( 2007): Selective changes of resting-state networks in individuals at risk for Alzheimer's disease. Proc Natl Acad Sci U S A 104: 18760-18765. Greicius MD, Srivastava 2009; 44 2007; 104 1987; 8 2006; 33 2002; 12 2004; 23 2002; 99 1975; 12 1999; 42 2003; 18 2005; 26 1996; 36 2005; 27 1992; 12 2007; 36 2007; 37 2010; 67 1994; 103 2004; 256 2006; 67 2000; 11 1986; 47 2007; 130 2008; 28 2008; 26 2005; 32 2001; 57 2001; 14 2001; 58 1996; 8 2007; 68 2004; 101 2004; 44 2010; 31 1995; 16 2002; 72 2011; 82 1991; 82 2007 2010a; 19 1991 1996; 16 2007; 58 2001; 20 2001; 5 1982; 40 2002; 125 1984; 34 2010; 133 2010b; 21 2005; 16 2003; 100 e_1_2_5_27_1 e_1_2_5_25_1 e_1_2_5_48_1 e_1_2_5_23_1 e_1_2_5_46_1 e_1_2_5_44_1 e_1_2_5_29_1 e_1_2_5_42_1 e_1_2_5_40_1 e_1_2_5_15_1 e_1_2_5_17_1 e_1_2_5_36_1 e_1_2_5_59_1 e_1_2_5_9_1 e_1_2_5_11_1 e_1_2_5_34_1 e_1_2_5_57_1 e_1_2_5_7_1 e_1_2_5_13_1 e_1_2_5_32_1 e_1_2_5_55_1 e_1_2_5_5_1 e_1_2_5_3_1 De Blese R (e_1_2_5_21_1) 1986; 47 e_1_2_5_19_1 e_1_2_5_30_1 e_1_2_5_53_1 e_1_2_5_51_1 e_1_2_5_28_1 e_1_2_5_26_1 e_1_2_5_47_1 e_1_2_5_24_1 Nocentini U (e_1_2_5_38_1) 2002; 12 e_1_2_5_45_1 e_1_2_5_22_1 e_1_2_5_43_1 Serra L (e_1_2_5_49_1) 2010; 19 e_1_2_5_20_1 e_1_2_5_41_1 Carlesimo GA (e_1_2_5_16_1) 2002; 12 e_1_2_5_14_1 e_1_2_5_39_1 e_1_2_5_37_1 e_1_2_5_58_1 e_1_2_5_8_1 e_1_2_5_10_1 e_1_2_5_35_1 e_1_2_5_56_1 e_1_2_5_6_1 e_1_2_5_12_1 e_1_2_5_33_1 e_1_2_5_54_1 e_1_2_5_4_1 e_1_2_5_2_1 e_1_2_5_18_1 Hughes CP (e_1_2_5_31_1) 1982; 40 e_1_2_5_52_1 e_1_2_5_50_1 |
References_xml | – reference: Greicius MD, Krasnow B, Reiss AL, Menon V ( 2003): Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci U S A 100: 253-258. – reference: Sorg C, Riedl V, Mühlau M, Calhoun VD, Eichele T, Läer L, Drzezga A, Förstl H, Kurz A, Zimmer C, Wohlschläger AM ( 2007): Selective changes of resting-state networks in individuals at risk for Alzheimer's disease. Proc Natl Acad Sci U S A 104: 18760-18765. – reference: De Blese R, Denes G, Luzzatti C, Mazzocchi A, Poeck K, Spinnler H, Willmes K ( 1986): L'Aachener Aphasie test I: Problemi e soluzioni per una versione italiana del test e per uno studio crosslinguistico dei disturbi afasici. Arch Psicol Neurol Psichiatr 47: 209-236. – reference: Ashburner J, Friston KJ ( 2005): Unified segmentation. Neuroimage 26: 839-851. – reference: Bozzali M, Filippi M, Magnani G, Cercignani M, Franceschi M, Schiatti E, Castiglioni S, Mossini R, Falautano M, Scotti G, Comi G, Falini A ( 2006): The contribution of voxel-based morphometry in staging patients with mild cognitive impairment. Neurology 67: 453-460. – reference: Choo IH, Lee DY, Oh JS, Lee JS, Lee DS, Song IC, et al. ( 2010): Posterior cingulate cortex atrophy and regional cingulum disruption in mild cognitive impairment and Alzheimer's disease. Neurobiol Aging 31: 772-779. – reference: Mosconi L ( 2005): Brain glucose metabolism in the early and specific diagnosis of Alzheimer's disease. FDG-PET studies in MCI and AD. Eur J Nucl Med Mol Imaging 32: 486-510. – reference: Braak H, Braak E ( 1991): Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol 82: 239-259. – reference: Pengas G, Hodges JR, Watson P, Nestor PJ ( 2010): Focal posterior cingulate atrophy in incipient Alzheimer's disease. Neurobiol Aging 31 25-33. – reference: Pajevic S, Pierpaoli C ( 1999): Color schemes to represent the orientation of anisotropic tissues from diffusion tensor data: Application to white matter fiber tract mapping in the human brain. Magn Reson Med 42: 526-540. – reference: Fellgiebel A, Müller MJ, Wille P, Dellani PR, Scheurich A, Schmidt LG, et al. ( 2005): Color-coded diffusion-tensor-imaging of posterior cingulate fiber tracts in mild cognitive impairment. Neurobiol Aging 26: 1193-1198. – reference: Bozzali M, Falini A, Franceschi M, Cercignani M, Zuffi M, Scotti G, Comi G, Filippi M ( 2002): White matter damage in Alzheimer's disease assessed in vivo using diffusion tensor magnetic resonance imaging. J Neurol Neurosurg Psychiatry 72: 742-746. – reference: Raichle ME, Snyder AZ ( 2007): A default mode of brain function: A brief history of an evolving idea. 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Ital J Neurol Sci 8: 539-554. – reference: Serra L, Perri R, Cercignani M, Spanò B, Fadda L, Marra C, Carlesimo GA, Caltagirone C, Bozzali M ( 2010b): Are the Behavioral Symptoms of Alzheimer's Disease Directly Associated with Neurodegeneration? J Alzheimers Dis 21: 627-639. – reference: Braak H, Braak E ( 1995): Staging of Alzheimer's disease-related neurofibrillary changes. Neurobiol Aging 16: 271-278; discussion 278-284. – reference: Chételat G, Landeau B, Eustache F, Mézenge F, Viader F, de la Sayette V, Desgranges B, Baron JC ( 2005): Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: a longitudinal MRI study. Neuroimage 27: 934-946. – reference: Magni E, Binetti G, Padovani A, Cappa SF, Bianchetti A, Trabucchi M ( 1996): The Mini-Mental State Examination in Alzheimer's disease and multi-infarct dementia. Int Psychogeriatr 8: 127-134. – reference: Chételat G, Villemagne VL, Bourgeat P, Pike KE, Jones G, Ames D, Ellis KA, Szoeke C, Martins RN, O'Keefe GJ, Salvado O, Masters CL, Rowe CC ( 2010): Relationship between atrophy and beta-amyloid deposition in Alzheimer disease. Ann Neurol 67: 317-324. – reference: Jenkinson M, Smith S ( 2001): A global optimisation method for robust affine registration of brain images. Med Image Anal 5: 143-156. – reference: Greicius MD, Srivastava G, Reiss AL, Menon V ( 2004): Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI. Proc Natl Acad Sci U S A 101: 4637-4642. – reference: Whitwell JL, Przybelski SA, Weigand SD, Knopman DS, Boeve BF, Petersen RC, Jack CR Jr ( 2007): 3D maps from multiple MRI illustrate changing atrophy patterns as subjects progress from mild cognitive impairment to Alzheimer's disease. Brain 130: 1777-1786. – reference: Xie S, Xiao JX, Wang YH, Wu HK, Gong GL, Jiang XX ( 2005): Evaluation of bilateral cingulum with tractography in patients with Alzheimer's disease. Neuroreport 16: 1275-1278. – reference: Petersen RC, Doody R, Kurz A, Mohs RC, Morris JC, Rabins PV, Ritchie K, Rossor M, Thal L, Winblad B ( 2001): Current concepts in mild cognitive impairment. Arch Neurol 58: 1985-1992. – reference: Petersen RC ( 2004): Mild cognitive impairment as a diagnostic entity. J Intern Med 256: 183-194. – reference: Alexander DC, Pierpaoli C, Basser PJ, Gee JC ( 2001): Spatial transformations of diffusion tensor magnetic resonance images. IEEE Trans Med Imaging 20: 1131-1139. – reference: Gomez-Isla T, Price JL, McKeel DWJr., Morris JC, Growdon JH, Hyman BT ( 1996): Profound loss of layer II entorhinal cortex neurons occurs in very mild Alzheimer's disease. J Neurosci 16: 4491-4500. – reference: Carlesimo GA, Caltagirone C, Gainotti G ( 1996): The Mental Deterioration Battery: normative data, diagnostic reliability and qualitative analyses of cognitive impairment. The Group for the Standardization of the Mental Deterioration Battery. Eur Neurol 36: 378-384. – reference: Pagani E, Horsfield MA, Rocca MA, Filippi M ( 2007): Assessing atrophy of the major white matter fiber bundles of the brain from diffusion tensor MRI data. Magn Reson Med 58: 527-534. – reference: Ashburner J, Friston KJ ( 2001): Why voxel-based morphometry should be used. Neuroimage 14: 1238-1243. – reference: Folstein MF, Folstein SE, McHugh PR ( 1975): Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12: 189-198. – reference: Villain N, Desgranges B, Viader F, de la Sayette V, Mézenge F, Landeau B, Baron JC, Eustache F, Chételat G ( 2008): Relationships between hippocampal atrophy, white matter disruption, and gray matter hypometabolism in Alzheimer's disease. J Neurosci 28: 6174-6181. – reference: Zhang Y, Schuff N, Jahng GH, Bayne W, Mori S, Schad L, Mueller S, Du AT, Kramer JH, Yaffe K, Chui H, Jagust WJ, Miller BL, Weiner MW ( 2007): Diffusion tensor imaging of cingulum fibers in mild cognitive impairment and Alzheimer disease. Neurology 68: 13-19. – reference: Catheline G, Periot O, Amirault M, Braun M, Dartigues JF, Auriacombe S, Allard M ( 2010): Distinctive alterations of the cingulum bundle during aging and Alzheimer's disease. Neurobiol Aging 31: 1582-1592. – reference: Hughes CP, Berg L, Danziger WL, Coben LA, Martin RL ( 1982): A new clinical scale for the staging of dementia. Br J Psychiatry 40: 566-572. – reference: Villain N, Fouquet M, Baron JC, Mézenge F, Landeau B, de La Sayette V, Viader F, Eustache F, Desgranges B, Chételat G ( 2010): Sequential relationships between grey matter and white matter atrophy and brain metabolic abnormalities in early Alzheimer's disease. Brain 133: 3301-3314. – reference: Ashburner J, Friston KJ ( 2000): Voxel-based morphometry-the methods. Neuroimage 11: 805-821. – reference: Wakana S, Caprihan A, Panzenboeck MM, Fallon JH, Perry M, Gollub RL, Hua K, Zhang J, Jiang H, Dubey P, Blitz A, van Zijl P, Mori S ( 2007): Reproducibility of quantitative tractography methods applied to cerebral white matter. Neuroimage 36: 630-644. – reference: Desgranges B, Baron JC, Lalevée C, Giffard B, Viader F, de La Sayette V, Eustache F ( 2002): The neural substrates of episodic memory impairment in Alzheimer's disease as revealed by FDG-PET: relationship to degree of deterioration. 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Snippet | This study investigates the differential contribution of gray matter (GM) atrophy and deafferentation through white matter (WM) damage in the clinical... |
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SubjectTerms | Aged Aged, 80 and over Alzheimer Disease - pathology Alzheimer Disease - physiopathology Atrophy - pathology Atrophy - physiopathology Biological and medical sciences cingulum Cognitive Dysfunction - pathology Cognitive Dysfunction - physiopathology deafferentation Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases Diffusion Tensor Imaging Disease Progression DT-MRI Female Gyrus Cinguli - pathology Gyrus Cinguli - physiopathology Humans Investigative techniques, diagnostic techniques (general aspects) Magnetic Resonance Imaging Male MCI Medical sciences Middle Aged Nerve Fibers, Myelinated - pathology Nerve Fibers, Unmyelinated - pathology Nervous system Neurology Radiodiagnosis. Nmr imagery. Nmr spectrometry tractography VBM |
Title | Damage to the cingulum contributes to alzheimer's disease pathophysiology by deafferentation mechanism |
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