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11.09.2018 | Original Paper

Patterns of Grey Matter Atrophy at Different Stages of Parkinson’s and Alzheimer’s Diseases and Relation to Cognition

verfasst von: Jonas Kunst, Radek Marecek, Patricia Klobusiakova, Zuzana Balazova, Lubomira Anderkova, Nela Nemcova-Elfmarkova, Irena Rektorova

Erschienen in: Brain Topography | Ausgabe 1/2019

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Abstract

Using MRI, a characteristic pattern of grey matter (GM) atrophy has been described in the early stages of Alzheimer’s disease (AD); GM patterns at different stages of Parkinson’s disease (PD) have been inconclusive. Few studies have directly compared structural changes in groups with mild cognitive impairment (MCI) caused by different pathologies (AD, PD). We used several analytical methods to determine GM changes at different stages of both PD and AD. We also evaluated associations between GM changes and cognitive measurements. Altogether 144 subjects were evaluated: PD with normal cognition (PD-NC; n = 23), PD with MCI (PD-MCI; n = 24), amnestic MCI (aMCI; n = 27), AD (n = 12), and age-matched healthy controls (HC; n = 58). All subjects underwent structural MRI and cognitive examination. GM volumes were analysed using two different techniques: voxel-based morphometry (VBM) and source-based morphometry (SBM), which is a multivariate method. In addition, cortical thickness (CT) was evaluated to assess between-group differences in GM. The cognitive domain z-scores were correlated with GM changes in individual patient groups. GM atrophy in the anterior and posterior cingulate, as measured by VBM, in the temporo-fronto-parietal component, as measured by SBM, and in the posterior cortical regions as well as in the anterior cingulate and frontal region, as measured by CT, differentiated aMCI from HC. Major hippocampal and temporal lobe atrophy (VBM, SBM) and to some extent occipital atrophy (SBM) differentiated AD from aMCI and from HC. Correlations with cognitive deficits were present only in the AD group. PD-MCI showed greater GM atrophy than PD-NC in the orbitofrontal regions (VBM), which was related to memory z-scores, and in the left superior parietal lobule (CT); more widespread limbic and fronto-parieto-occipital neocortical atrophy (all methods) differentiated this group from HC. Only CT revealed subtle GM atrophy in the anterior cingulate, precuneus, and temporal neocortex in PD-NC as compared to HC. None of the methods differentiated PD-MCI from aMCI. Both MCI groups showed distinct limbic and fronto-temporo-parietal neocortical atrophy compared to HC with no specific between-group differences. AD subjects displayed a typical pattern of major temporal lobe atrophy which was associated with deficits in all cognitive domains. VBM and CT were more sensitive than SBM in identifying frontal and posterior cortical atrophy in PD-MCI as compared to PD-NC. Our data support the notion that the results of studies using different analytical methods cannot be compared directly. Only CT measures revealed some subtle differences between HC and PD-NC.

Agosta F, Canu E, Stojković T, Pievani M, Tomić A, Sarro L et al (2013) The topography of brain damage at different stages of Parkinson’s disease. Hum Brain Mapp 34(11):2798–2807. https://doi.org/10.1002/hbm.22101 CrossRefPubMed

Almeida OP, Burton EJ, McKeith I, Gholkar A, Burn D, O’Brien JT (2003) MRI study of caudate nucleus volume in Parkinson’s disease with and without dementia with Lewy bodies and Alzheimer’s disease. Dement Geriatr Cogn Disord 16(2):57–63. https://doi.org/10.1159/000070676 CrossRefPubMed

Anderkova L, Eliasova I, Marecek R, Janousova E, Rektorova I (2015) Distinct pattern of gray matter atrophy in mild Alzheimer’s disease impacts on cognitive outcomes of noninvasive brain stimulation. J Alzheimer’s Dis 48(1):251–260. https://doi.org/10.3233/JAD-150067 CrossRef

Anderkova L, Barton M, Rektorova I (2017) Striato-cortical connections in Parkinson’s and Alzheimer’s diseases: relation to cognition. Mov Disord 32(6):917–922. https://doi.org/10.1002/mds.26956 CrossRefPubMed

Apostolova LG, Steiner CA, Akopyan GG, Dutton RA, Hayashi KM, Toga AW et al (2007) Three-dimensional gray matter atrophy mapping in mild cognitive impairment and mild Alzheimer disease. Arch Neurol 64(10):1489–1495. https://doi.org/10.1001/archneur.64.10.1489 CrossRefPubMedPubMedCentral

Apostolova LG, Beyer M, Green AE, Hwang KS, Morra JH, Chou Y-Y et al (2010) Hippocampal, caudate, and ventricular changes in Parkinson’s disease with and without dementia. Mov Disord 25(6):687–695. https://doi.org/10.1002/mds.22799 CrossRefPubMedPubMedCentral

Ashburner J, Csernansky JG, Davatzikos C, Fox NC, Frisoni GB, Thompson PM (2003) Computer-assisted imaging to assess brain structure in healthy and diseased brains. Lancet Neurol 2(2):79–88. https://doi.org/10.1016/S1474-4422(03)00304-1 CrossRefPubMed

Besser LM, Litvan I, Monsell SE, Mock C, Weintraub S, Zhou X-H, Kukull W (2016) Mild cognitive impairment in Parkinson’s disease versus Alzheimer’s disease. Parkinsonism Relat Disord 27:54–60. https://doi.org/10.1016/j.parkreldis.2016.04.007 CrossRefPubMedPubMedCentral

Beyer MK, Janvin CC, Larsen JP, Aarsland D (2007) A magnetic resonance imaging study of patients with Parkinson’s disease with mild cognitive impairment and dementia using voxel-based morphometry. J Neurol Neurosurg Psychiatry 78(3):254–259. https://doi.org/10.1136/jnnp.2006.093849 CrossRefPubMed

Binetti G, Cappa SF, Magni E, Padovani A, Bianchetti A, Trabucchi M (1996) Disorders of visual and spatial perception in the early stage of Alzheimer’s disease. Ann N Y Acad Sci 777:221–225CrossRef

Biundo R, Calabrese M, Weis L, Facchini S, Ricchieri G, Gallo P, Antonini A (2013) Anatomical correlates of cognitive functions in early Parkinson’s disease patients. PLoS ONE 8(5):e64222. https://doi.org/10.1371/journal.pone.0064222 CrossRefPubMedPubMedCentral

Brück A, Kurki T, Kaasinen V, Vahlberg T, Rinne JO (2004) Hippocampal and prefrontal atrophy in patients with early non-demented Parkinson’s disease is related to cognitive impairment. J Neurol Neurosurg Psychiatry 75(10):1467–1469. https://doi.org/10.1136/jnnp.2003.031237 CrossRefPubMedPubMedCentral

Burnham SC, Bourgeat P, Doré V, Savage G, Brown B, Laws S et al (2016) Clinical and cognitive trajectories in cognitively healthy elderly individuals with suspected non-Alzheimer’s disease pathophysiology (SNAP) or Alzheimer’s disease pathology: a longitudinal study. Lancet Neurol 15(10):1044–1053. https://doi.org/10.1016/S1474-4422(16)30125-9 CrossRefPubMed

Burton EJ, McKeith IG, Burn DJ, Williams ED, O’Brien JT (2004) Cerebral atrophy in Parkinson’s disease with and without dementia: a comparison with Alzheimer’s disease, dementia with Lewy bodies and controls. Brain 127(Pt 4):791–800. https://doi.org/10.1093/brain/awh088 CrossRef

Camicioli R, Moore MM, Kinney A, Corbridge E, Glassberg K, Kaye JA (2003) Parkinson’s disease is associated with hippocampal atrophy. Mov Disord 18(7):784–790. https://doi.org/10.1002/mds.10444 CrossRefPubMed

Cavanna AE, Trimble MR (2006) The precuneus: a review of its functional anatomy and behavioural correlates. Brain 129(Pt 3):564–583. https://doi.org/10.1093/brain/awl004 CrossRef

Chételat G, Landeau B, Eustache F, Mézenge F, Viader F, de la Sayette V et al (2005) Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: a longitudinal MRI study. NeuroImage 27(4):934–946. https://doi.org/10.1016/j.neuroimage.2005.05.015 CrossRefPubMed

Compta Y, Parkkinen L, O’Sullivan SS, Vandrovcova J, Holton JL, Collins C et al (2011) Lewy- and Alzheimer-type pathologies in Parkinson’s disease dementia: which is more important? Brain 134(Pt 5):1493–1505. https://doi.org/10.1093/brain/awr031 CrossRefPubMedPubMedCentral

Compta Y, Ibarretxe-Bilbao N, Pereira JB, Junqué C, Bargalló N, Tolosa E et al (2012) Grey matter volume correlates of cerebrospinal markers of Alzheimer-pathology in Parkinson’s disease and related dementia. Parkinsonism Relat Disord 18(8):941–947. https://doi.org/10.1016/j.parkreldis.2012.04.028 CrossRefPubMed

Compta Y, Pereira JB, Ríos J, Ibarretxe-Bilbao N, Junqué C, Bargalló N et al (2013) Combined dementia-risk biomarkers in Parkinson’s disease: a prospective longitudinal study. Parkinsonism Relat Disord 19(8):717–724. https://doi.org/10.1016/j.parkreldis.2013.03.009 CrossRefPubMed

Dalaker TO, Larsen JP, Bergsland N, Beyer MK, Alves G, Dwyer MG et al (2009) Brain atrophy and white matter hyperintensities in early Parkinson’s disease. Mov Disord 24(15):2233–2241. https://doi.org/10.1002/mds.22754 CrossRefPubMed

Dalaker TO, Zivadinov R, Larsen JP, Beyer MK, Cox JL, Alves G et al (2010) Gray matter correlations of cognition in incident Parkinson’s disease. Mov Disord 25(5):629–633. https://doi.org/10.1002/mds.22867 CrossRefPubMed

Desikan RS, Ségonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D et al (2006) An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage 31(3):968–980. https://doi.org/10.1016/j.neuroimage.2006.01.021 CrossRefPubMed

Dickerson BC, Bakkour A, Salat DH, Feczko E, Pacheco J, Greve DN et al (2009a) The cortical signature of Alzheimer’s disease: regionally specific cortical thinning relates to symptom severity in very mild to mild AD dementia and is detectable in asymptomatic amyloid-positive individuals. Cereb Cortex 19(3):497–510. https://doi.org/10.1093/cercor/bhn113 CrossRefPubMed

Dickerson BC, Feczko E, Augustinack JC, Pacheco J, Morris JC, Fischl B, Buckner RL (2009b) Differential effects of aging and Alzheimer’s disease on medial temporal lobe cortical thickness and surface area. Neurobiol Aging 30(3):432–440. https://doi.org/10.1016/j.neurobiolaging.2007.07.022 CrossRefPubMed

Du A-T, Schuff N, Kramer JH, Rosen HJ, Gorno-Tempini ML, Rankin K et al (2007) Different regional patterns of cortical thinning in Alzheimer’s disease and frontotemporal dementia. Brain 130(Pt 4):1159–1166. https://doi.org/10.1093/brain/awm016 CrossRefPubMedPubMedCentral

Duncan GW, Firbank MJ, O’Brien JT, Burn DJ (2013) Magnetic resonance imaging: a biomarker for cognitive impairment in Parkinson’s disease? Mov Disord 28(4):425–438. https://doi.org/10.1002/mds.25352 CrossRefPubMed

Ferreira LK, Diniz BS, Forlenza OV, Busatto GF, Zanetti MV (2011) Neurostructural predictors of Alzheimer’s disease: a meta-analysis of VBM studies. Neurobiol Aging 32(10):1733–1741. https://doi.org/10.1016/j.neurobiolaging.2009.11.008 CrossRefPubMed

Gasca-Salas C, García-Lorenzo D, Garcia-Garcia D, Clavero P, Obeso JA, Lehericy S, Rodríguez-Oroz MC (2017) Parkinson’s disease with mild cognitive impairment: severe cortical thinning antedates dementia. Brain Imaging Behav. https://doi.org/10.1007/s11682-017-9751-6 CrossRef

Hanganu A, Bedetti C, Degroot C, Mejia-Constain B, Lafontaine A-L, Soland V et al (2014) Mild cognitive impairment is linked with faster rate of cortical thinning in patients with Parkinson’s disease longitudinally. Brain 137(Pt 4):1120–1129. https://doi.org/10.1093/brain/awu036 CrossRefPubMed

Hutton C, Draganski B, Ashburner J, Weiskopf N (2009) A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging. NeuroImage 48(2):371–380. https://doi.org/10.1016/j.neuroimage.2009.06.043 CrossRefPubMedPubMedCentral

Ibarretxe-Bilbao N, Junque C, Marti MJ, Tolosa E (2011) Brain structural MRI correlates of cognitive dysfunctions in Parkinson’s disease. J Neurol Sci 310(1–2):70–74. https://doi.org/10.1016/j.jns.2011.07.054 CrossRefPubMed

Irwin DJ, White MT, Toledo JB, Xie SX, Robinson JL, Van Deerlin V et al (2012) Neuropathologic substrates of Parkinson disease dementia. Ann Neurol 72(4):587–598. https://doi.org/10.1002/ana.23659 CrossRefPubMedPubMedCentral

Irwin DJ, Lee VM-Y, Trojanowski JQ (2013) Parkinson’s disease dementia: convergence of α-synuclein, tau and amyloid-β pathologies. Nat Rev Neurosci 14(9):626–636. https://doi.org/10.1038/nrn3549 CrossRefPubMedPubMedCentral

Jack CR (2014) PART and SNAP. Acta Neuropathol 128(6):773–776. https://doi.org/10.1007/s00401-014-1362-3 CrossRefPubMedPubMedCentral

Jack CR, Knopman DS, Jagust WJ, Petersen RC, Weiner MW, Aisen PS et al (2013) Tracking pathophysiological processes in Alzheimer’s disease: an updated hypothetical model of dynamic biomarkers. Lancet Neurol 12(2):207–216. https://doi.org/10.1016/S1474-4422(12)70291-0 CrossRefPubMedPubMedCentral

Jack CR, Knopman DS, Chételat G, Dickson D, Fagan AM, Frisoni GB et al (2016) Suspected non-Alzheimer disease pathophysiology: concept and controversy. Nat Rev Neurol 12(2):117–124. https://doi.org/10.1038/nrneurol.2015.251 CrossRefPubMedPubMedCentral

Jellinger KA, Seppi K, Wenning GK, Poewe W (2002) Impact of coexistent Alzheimer pathology on the natural history of Parkinson’s disease. J Neural Transm 109(3):329–339. https://doi.org/10.1007/s007020200027 CrossRefPubMed

Lee E-Y, Sen S, Eslinger PJ, Wagner D, Shaffer ML, Kong L et al (2013) Early cortical gray matter loss and cognitive correlates in non-demented Parkinson’s patients. Parkinsonism Relat Disord 19(12):1088–1093. https://doi.org/10.1016/j.parkreldis.2013.07.018 CrossRefPubMed

Lehericy S, Vaillancourt DE, Seppi K, Monchi O, Rektorova I, Antonini A et al (2017) The role of high-field magnetic resonance imaging in parkinsonian disorders: pushing the boundaries forward. Mov Disord 32(4):510–525. https://doi.org/10.1002/mds.26968 CrossRefPubMed

Li Y-O, Adali T, Calhoun VD (2007) Estimating the number of independent components for functional magnetic resonance imaging data. Hum Brain Mapp 28(11):1251–1266. https://doi.org/10.1002/hbm.20359 CrossRefPubMed

Litvan I, Goldman JG, Tröster AI, Schmand BA, Weintraub D, Petersen RC et al (2012) Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: movement disorder society task force guidelines. Mov Disord 27(3):349–356. https://doi.org/10.1002/mds.24893 CrossRefPubMedPubMedCentral

Liu Y, Paajanen T, Zhang Y, Westman E, Wahlund L-O, Simmons A et al (2010) Analysis of regional MRI volumes and thicknesses as predictors of conversion from mild cognitive impairment to Alzheimer’s disease. Neurobiol Aging 31(8):1375–1385. https://doi.org/10.1016/j.neurobiolaging.2010.01.022 CrossRefPubMed

Lyoo IK, Sung YH, Dager SR, Friedman SD, Lee J-Y, Kim SJ et al (2006) Regional cerebral cortical thinning in bipolar disorder. Bipolar Disord 8(1):65–74. https://doi.org/10.1111/j.1399-5618.2006.00284.x CrossRefPubMed

Madhyastha TM, Askren MK, Boord P, Zhang J, Leverenz JB, Grabowski TJ (2015) Cerebral perfusion and cortical thickness indicate cortical involvement in mild Parkinson’s disease. Mov Disord 30(14):1893–1900. https://doi.org/10.1002/mds.26128 CrossRefPubMedPubMedCentral

Mak E, Su L, Williams GB, Firbank MJ, Lawson RA, Yarnall AJ et al (2015) Baseline and longitudinal grey matter changes in newly diagnosed Parkinson’s disease: ICICLE-PD study. Brain 138(10):2974–2986. https://doi.org/10.1093/brain/awv211 CrossRefPubMedPubMedCentral

Mattis PJ, Niethammer M, Sako W, Tang CC, Nazem A, Gordon ML et al (2016) Distinct brain networks underlie cognitive dysfunction in Parkinson and Alzheimer diseases. Neurology 87(18):1925–1933. https://doi.org/10.1212/WNL.0000000000003285 CrossRefPubMedPubMedCentral

McKhann GM, Knopman DS, Chertkow H, Hyman BT, Jack CR, Kawas CH et al (2011) The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s Dement 7(3):263–269. https://doi.org/10.1016/j.jalz.2011.03.005 CrossRef

Melzer TR, Watts R, MacAskill MR, Pitcher TL, Livingston L, Keenan RJ et al (2012) Grey matter atrophy in cognitively impaired Parkinson’s disease. J Neurol Neurosurg Psychiatry 83(2):188–194. https://doi.org/10.1136/jnnp-2011-300828 CrossRefPubMed

Nagano-Saito A, Washimi Y, Arahata Y, Kachi T, Lerch JP, Evans AC et al (2005) Cerebral atrophy and its relation to cognitive impairment in Parkinson disease. Neurology 64(2):224–229. https://doi.org/10.1212/01.WNL.0000149510.41793.50 CrossRefPubMed

Nemcova-Elfmarkova N, Gajdos M, Rektorova I, Marecek R, Rapcsak SZ (2017) Neural evidence for defective top-down control of visual processing in Parkinson’s and Alzheimer’s disease. Neuropsychologia 106:236–244. https://doi.org/10.1016/j.neuropsychologia.2017.09.034 CrossRefPubMed

Pan PL, Shi HC, Zhong JG, Xiao PR, Shen Y, Wu LJ et al (2013) Gray matter atrophy in Parkinson’s disease with dementia: evidence from meta-analysis of voxel-based morphometry studies. Neurol Sci 34(5):613–619. https://doi.org/10.1007/s10072-012-1250-3 CrossRefPubMed

Pereira JB, Svenningsson P, Weintraub D, Brønnick K, Lebedev A, Westman E, Aarsland D (2014) Initial cognitive decline is associated with cortical thinning in early Parkinson disease. Neurology 82(22):2017–2025. https://doi.org/10.1212/WNL.0000000000000483 CrossRefPubMedPubMedCentral

Petersen RC, Doody R, Kurz A, Mohs RC, Morris JC, Rabins PV et al (2001) Current concepts in mild cognitive impairment. Arch Neurol 58(12):1985–1992CrossRef

Postuma RB, Berg D, Stern M, Poewe W, Olanow CW, Oertel W et al (2015) MDS clinical diagnostic criteria for Parkinson’s disease. Mov Disord 30(12):1591–1601. https://doi.org/10.1002/mds.26424 CrossRefPubMed

Preston AR, Eichenbaum H (2013) Interplay of hippocampus and prefrontal cortex in memory. Curr Biol 23(17):R764–R773. https://doi.org/10.1016/j.cub.2013.05.041 CrossRefPubMedPubMedCentral

Quental NBM, Brucki SMD, Bueno OFA (2013) Visuospatial function in early Alzheimer’s disease: the use of the visual object and space perception (VOSP) battery. PLoS ONE 8(7):e68398. https://doi.org/10.1371/journal.pone.0068398 CrossRefPubMedPubMedCentral

Rektor I, Svátková A, Vojtíšek L, Zikmundová I, Vaníček J, Király A, Szabó N (2018) White matter alterations in Parkinson’s disease with normal cognition precede grey matter atrophy. PLoS ONE 13(1):e0187939. https://doi.org/10.1371/journal.pone.0187939 CrossRefPubMedPubMedCentral

Rektorova I, Biundo R, Marecek R, Weis L, Aarsland D, Antonini A (2014) Grey matter changes in cognitively impaired Parkinson’s disease patients. PLoS ONE 9(1):e85595. https://doi.org/10.1371/journal.pone.0085595 CrossRefPubMedPubMedCentral

Rodriguez-Oroz MC, Gago B, Clavero P, Delgado-Alvarado M, Garcia-Garcia D, Jimenez-Urbieta H (2015) The relationship between atrophy and hypometabolism: is it regionally dependent in dementias? Curr Neurol Neurosci Rep 15(7):44. https://doi.org/10.1007/s11910-015-0562-0 CrossRefPubMed

Sack AT (2009) Parietal cortex and spatial cognition. Behav Brain Res 202(2):153–161. https://doi.org/10.1016/j.bbr.2009.03.012 CrossRefPubMed

Song SK, Lee JE, Park H-J, Sohn YH, Lee JD, Lee PH (2011) The pattern of cortical atrophy in patients with Parkinson’s disease according to cognitive status. Mov Disord 26(2):289–296. https://doi.org/10.1002/mds.23477 CrossRefPubMed

Summerfield C, Junqué C, Tolosa E, Salgado-Pineda P, Gómez-Ansón B, Martí MJ et al (2005) Structural brain changes in Parkinson disease with dementia: a voxel-based morphometry study. Arch Neurol 62(2):281–285. https://doi.org/10.1001/archneur.62.2.281 CrossRefPubMed

Tae WS, Kim SH, Joo EY, Han SJ, Kim IY, Kim SI et al (2008) Cortical thickness abnormality in juvenile myoclonic epilepsy. J Neurol 255(4):561–566. https://doi.org/10.1007/s00415-008-0745-6 CrossRefPubMed

Tam CWC, Burton EJ, McKeith IG, Burn DJ, O’Brien JT (2005) Temporal lobe atrophy on MRI in Parkinson disease with dementia: a comparison with Alzheimer disease and dementia with Lewy bodies. Neurology 64(5):861–865. https://doi.org/10.1212/01.WNL.0000153070.82309.D4 CrossRefPubMed

Thompson PM, Hayashi KM, de Zubicaray G, Janke AL, Rose SE, Semple J et al (2003) Dynamics of gray matter loss in Alzheimer’s disease. J Neurosci 23(3):994–1005CrossRef

Tinaz S, Courtney MG, Stern CE (2011) Focal cortical and subcortical atrophy in early Parkinson’s disease. Mov Disord 26(3):436–441. https://doi.org/10.1002/mds.23453 CrossRefPubMed

Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N et al (2002) Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage 15(1):273–289. https://doi.org/10.1006/nimg.2001.0978 CrossRefPubMed

Uribe C, Segura B, Baggio HC, Abos A, Marti MJ, Valldeoriola F et al (2016) Patterns of cortical thinning in nondemented Parkinson’s disease patients. Mov Disord 31(5):699–708. https://doi.org/10.1002/mds.26590 CrossRefPubMedPubMedCentral

Vos SJ, Xiong C, Visser PJ, Jasielec MS, Hassenstab J, Grant EA et al (2013) Preclinical Alzheimer’s disease and its outcome: a longitudinal cohort study. Lancet Neurol 12(10):957–965. https://doi.org/10.1016/S1474-4422(13)70194-7 CrossRefPubMedPubMedCentral

Weintraub D, Doshi J, Koka D, Davatzikos C, Siderowf AD, Duda JE et al (2011) Neurodegeneration across stages of cognitive decline in Parkinson disease. Arch Neurol 68(12):1562–1568. https://doi.org/10.1001/archneurol.2011.725 CrossRefPubMedPubMedCentral

Weintraub D, Dietz N, Duda JE, Wolk DA, Doshi J, Xie SX et al (2012) Alzheimer’s disease pattern of brain atrophy predicts cognitive decline in Parkinson’s disease. Brain 135(Pt 1):170–180. https://doi.org/10.1093/brain/awr277 CrossRefPubMed

Whitwell JL, Josephs KA, Murray ME, Kantarci K, Przybelski SA, Weigand SD et al (2008) MRI correlates of neurofibrillary tangle pathology at autopsy: a voxel-based morphometry study. Neurology 71(10):743–749. https://doi.org/10.1212/01.wnl.0000324924.91351.7d CrossRefPubMedPubMedCentral

Xu L, Groth KM, Pearlson G, Schretlen DJ, Calhoun VD (2009) Source-based morphometry: the use of independent component analysis to identify gray matter differences with application to schizophrenia. Hum Brain Mapp 30(3):711–724. https://doi.org/10.1002/hbm.20540 CrossRefPubMedPubMedCentral

Xu Y, Yang J, Hu X, Shang H (2016) Voxel-based meta-analysis of gray matter volume reductions associated with cognitive impairment in Parkinson’s disease. J Neurol 263(6):1178–1187. https://doi.org/10.1007/s00415-016-8122-3 CrossRefPubMed

Ye BS, Jeon S, Ham JH, Lee JJ, Lee JM, Lee HS, et al (2017) Dementia-predicting cognitive risk score and its correlation with cortical thickness in parkinson disease. Dement Geriatr Cogn Disord 44(3–4):203–212. https://doi.org/10.1159/000479057 CrossRefPubMed

Titel: Patterns of Grey Matter Atrophy at Different Stages of Parkinson’s and Alzheimer’s Diseases and Relation to Cognition
verfasst von: Jonas Kunst
Radek Marecek
Patricia Klobusiakova
Zuzana Balazova
Lubomira Anderkova
Nela Nemcova-Elfmarkova
Irena Rektorova
Publikationsdatum: 11.09.2018
Verlag: Springer US
Erschienen in: Brain Topography / Ausgabe 1/2019
Print ISSN: 0896-0267
Elektronische ISSN: 1573-6792
DOI: https://doi.org/10.1007/s10548-018-0675-2

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