Cited By
View all- Yu XWang HFeng WGong HCao GVarela CCastro HBarrios C(2016)cuARTProceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing10.1109/CCGrid.2016.96(165-168)Online publication date: 16-May-2016
Cortical Thinning and Cognitive Impairment in Parkinson's Disease without Dementia
Authors: 
Lijun Zhang, Ming Wang, Nicholas W. Sterling, Eun-Young Lee, Paul J. Eslinger, Daymond Wagner, Guangwei Du, Mechelle M. Lewis, Young Truong, F. DuBois Bowman, Xuemei HuangAuthors Info & Claims
Lijun Zhang, Ming Wang, Nicholas W. Sterling, Eun-Young Lee, Paul J. Eslinger, Daymond Wagner, Guangwei Du, Mechelle M. Lewis, Young Truong, F. DuBois Bowman, Xuemei HuangAuthors Info & ClaimsPages 570 - 580
Abstract
Parkinson's disease PD is a progressive neurodegenerative disorder characterized clinically by motor dysfunction bradykinesia, rigidity, tremor, and postural instability, and pathologically by the loss of dopaminergic neurons in the substantia nigra of the basal ganglia. Growing literature supports that cognitive deficits may also be present in PD, even in non-demented patients. Gray matter GM atrophy has been reported in PD and may be related to cognitive decline. This study investigated cortical thickness in non-demented PD subjects and elucidated its relationship to cognitive impairment using high-resolution T1-weighted brain MRI and comprehensive cognitive function scores from 71 non-demented PD and 48 control subjects matched for age, gender, and education. Cortical thickness was compared between groups using a flexible hierarchical multivariate Bayesian model, which accounts for correlations between brain regions. Correlation analyses were performed among brain areas and cognitive domains as well, which showed significant group differences in the PD population. Compared to Controls, PD subjects demonstrated significant age-adjusted cortical thinning predominantly in inferior and superior parietal areas and extended to superior frontal, superior temporal, and precuneus areas posterior probability >0.9. Cortical thinning was also found in the left precentral and lateral occipital, and right postcentral, middle frontal, and fusiform regions posterior probability >0.9. PD patients showed significantly reduced cognitive performance in executive function, including set shifting p = 0.005 and spontaneous flexibility p = 0.02, which were associated with the above cortical thinning regions p < 0.05.
References
[1]
S. Y. Lim, S. H. Fox, and A. E. Lang, "Overview of the extranigral aspects of Parkinson's disease," Arch. Neurol., vol. 66, no. 2, pp. 167-172, 2009.
[2]
A. A. Kehagia, R. A. Barker, and T. W. Robbins, "Neuropsychological and clinical heterogeneity of cognitive impairment and dementia in patients with Parkinson's disease" Lancet Neurol., vol. 9, no. 12, pp. 1200-1213, 2010.
[3]
S. J. Lewis, A. Dove, T. W. Robbins, R. A. Barker, and A. M. Owen, "Cognitive impairments in early Parkinson's disease are accompanied by reductions in activity in frontostriatal neural circuitry," J Neurosci., vol. 23, no. 15, pp. 6351-6356, 2003.
[4]
D. Muslimovic, B. Post, J. D. Speelman, and B. Schmand, "Cognitive profile of patients with newly diagnosed Parkinson disease," Neurology, vol. 65, no. 8, pp. 1239-1245, 2005.
[5]
W. Reid, M. Hely, J. Morris, C. Loy, and G. Halliday, "Dementia in Parkinson's disease: A 20-year neuropsychological study (Sydney Multicentre Study)," J. Neurol. Neurosurgery Psychiatry, vol. 82, no. 9, pp. 1033-1037, 2011.
[6]
G. Halliday, M. Hely, W. Reid, and J. Morris, "The progression of pathology in longitudinally followed patients with Parkinson's disease," Acta neuropathologica, vol. 115, no. 4, pp. 409-415, 2008.
[7]
M. Emre, D. Aarsland, R. Brown, D. J. Burn, and C. Duyckaerts, "Clinical diagnostic criteria for dementia associated with Parkinson's disease," Movement Disorders, vol. 22, pp. 1689-1707, 2007.
[8]
H. Braak, K. Del Tredici, U. Rub, R. A. de Vos, E. N. Jansen Steur, and E. Braak, "Staging of brain pathology related to sporadic Parkinson's disease," Neurobiol. Aging, vol. 24, no. 2, pp. 197-211, 2003.
[9]
D. Eidelberg, "Metabolic brain networks in neurodegenerative disorders: A functional imaging approach," Trends Neurosci., vol. 32, no. 10, pp. 548-557, 2009.
[10]
R. Nandhagopal, M. J. McKeown, and A. J. Stoessl, "Functional imaging in Parkinson disease," Neurology, vol. 70, no. 16 Pt 2, pp. 1478-1488, 2008.
[11]
N. Ibarretxe-Bilbao, C. Junque, M. J. Marti, and E. Tolosa, "Brain structural MRI correlates of cognitive dysfunctions in Parkinson's disease," J. Neurol. Sci., vol. 310, nos. 1/2, pp. 70-74, 2011.
[12]
N. Ibarretxe-Bilbao, E. Tolosa, C. Junque, and M. J. Marti, "MRI and cognitive impairment in Parkinson's disease," Movement Disorders, vol. 24 Suppl 2, pp. S748-S753, 2009.
[13]
E. Y. Lee, S. Sen, P. J. Eslinger, D. Wagner, M. L. Shaffer, L. Kong, M. M. Lewis, G. Du and X. Huang, "Early cortical gray matter loss and cognitive correlates in non-demented Parkinson's patients," Parkinsonism Related Disorders, vol. 19, no. 12, pp. 1088-1093, 2013.
[14]
A. Bruck, T. Kurki, V. Kaasinen, T. Vahlberg, and J. O. Rinne, "Hippocampal and prefrontal atrophy in patients with early nondemented Parkinson's disease is related to cognitive impairment," J. Neurol. Neurosurgery Psychiatry, vol. 75, no. 10, pp. 1467-1469, 2004.
[15]
R. Camicioli, M. Gee, T. P. Bouchard, N. J. Fisher, C. C. Hanstock, D. J. Emery, and W. R. W. Martin, "Voxel-based morphometry reveals extra-nigral atrophy patterns associated with dopamine refractory cognitive and motor impairment in parkinsonism," Parkinsonism Related Disorders, vol. 15, no. 3, pp. 187-195, 2009.
[16]
A. Nagano-Saito, Y. Washimi, Y. Arahata, T. Kachi, J. P. Lerch, A. C. Evans, A. Dagher, and K. Ito, "Cerebral atrophy and its relation to cognitive impairment in Parkinson disease," Neurology, vol. 64, no. 2, pp. 224-229, 2005.
[17]
C. Davatzikos, "Why voxel-based morphometric analysis should be used with great caution when characterizing group differences," Neuroimage, vol. 23, no. 1, pp. 17-20, 2004.
[18]
F. L. Bookstein, "Voxel-based morphometry should not be used with imperfectly registered images," Neuroimage, vol. 14, no. 6, pp. 1454-1462, 2001.
[19]
V. B. Mountcastle, "The columnar organization of the neocortex," Brain, vol. 120, pp. 701-722, 1997.
[20]
A. T. Du, N. Schuff, J. H. Kramer, H. J. Rosen, M. L. Gorno-Tempini, K. Rankin, L. M. Bruce, and M. W. Weiner, "Different regional patterns of cortical thinning in Alzheimer's disease and frontotemporal dementia," Brain, vol. 130, no. Pt 4, pp. 1159-1166, 2007.
[21]
N. Kabani, G. Le Goualher, D. MacDonald, and A. C. Evans, "Measurement of cortical thickness using an automated 3-D algorithm: A validation study," Neuroimage, vol. 13, no. 2, pp. 375-380, 2001.
[22]
A. Parent and M. Carpenter, Eds., Human Neuroanatomy. Baltimore, MD, USA: Williams & Wilkins, 1995.
[23]
P. Rakic, "Specification of cerebral cortical areas," Science, vol. 241, no. 4862, pp. 170-176, 1988.
[24]
T. Jubault, J. F. Gagnon, S. Karama, A. Ptito, A. L. Lafontaine, A. C. Evans, and O. Monchi, "Patterns of cortical thickness and surface area in early Parkinson's disease," Neuroimage, vol. 55, no. 2, pp. 462-467, 2011.
[25]
C. H. Lyoo, Y. H. Ryu, and M. S. Lee, "Topographical distribution of cerebral cortical thinning in patients with mild Parkinson's disease without dementia," Movement Disorders, vol. 25, no. 4, pp. 496-499, 2010.
[26]
M. Zarei, N. Ibarretxe-Bilbao, Y. Compta, M. Hough, C. Junque, N. Bargallo, E. Tolosa, and M. J. Marti, "Cortical thinning is associated with disease stages and dementia in Parkinson's disease," J. Neurol Neurosurg. Psychiatry, vol. 84, pp. 875-882, 2013.
[27]
J. B. Pereira, P. Svenningsson, D. Weintraub, K. Brønnick, A. Lebedev, E. Westman, and D. Aarsland, "Initial cognitive decline is associated with cortical thinning in early Parkinson disease," Neurology, vol. 82, no. 22, pp. 2017-2025, 2014.
[28]
R. I. Scahill, C. Frost, R. Jenkins, J. L. Whitwell, M. N. Rossor, and N. C. Fox, "A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging," Arch. Neurol., vol. 60, no. 7, pp. 989-994, 2003.
[29]
D. H. Salat, R. L. Buckner, A. Z. Snyder, D. N. Greve, R. S. Desikan, E. Busa, J. C. Morris, A. M. Dale, and B. Fischl, "Thinning of the cerebral cortex in aging," Cereb. Cortex, vol. 14, pp. 721-730, 2004.
[30]
J. Pagonabarraga, I. Corcuera-Solano, Y. Vives-Gilabert, G. Llebaria, C. García-Sánchez, B. Pascual-Sedano, M. Delfino, J. Kulisevsky, and B. Gómez-Ansón, "Pattern of regional cortical thinning associated with cognitive deterioration in parkinson's disease," PLoS One, vol. 8, no. 1, p. e54980, 2013.
[31]
J. B. Pereira, N. Ibarretxe-Bilbao, M. J. Marti, Y. Compta, C. Junque, N. Bargallo, and E. Tolosa, "Assessment of cortical degeneration in patients with Parkinson's disease by voxel-based morphometry, cortical folding, and cortical thickness," Human Brain Mapping, vol. 33, no. 11, pp. 2521-2534, 2012.
[32]
B. Segura, H. C. Baggio, M. J. Marti, F. Valldeoriola, Y. Compta, A. I. Garcia-Diaz, P. Vendrell, N. Bargallo, E. Tolosa, and C. Junque, "Cortical thinning associated with mild cognitive impairment in Parkinson's disease," Movement Disorders, vol. 29, pp. 1495-1503, 2014.
[33]
F. D. Bowman, B. Caffo, S. S. Bassett, and C. Kilts, "A Bayesian hierarchical framework for spatial modeling of fMRI data," Neuroimage, vol. 39, no. 1, pp. 146-156, 2008.
[34]
L. Zhang, S. Agravat, G. Derado, S. Chen, B. J. McIntosh, and F. D. Bowman, "BSMac: A MATLAB toolbox implementing a Bayesian spatial model for brain activation and connectivity," J. Neurosci. Methods, vol. 204, no. 1, pp. 133-143, 2012.
[35]
D. B. Calne, B. J. Snow, and C. Lee, "Criteria for diagnosing Parkinson's-disease," Ann. Neurol., vol. 32, pp. S125-S127, 1992.
[36]
P. Jurica, C. Leitten, and S. Mattis, Dementia Ratings Scale-2: Professional Manual. Odessa, FL, USA: Psychological Assessment Resources, 2001.
[37]
B. Dubois, D. Burn, C. Goetz, D. Aarsland, R. G. Brown, G. A. Broe, D. Dickson, C. Duyckaerts, J. Cummings, S. Gauthier, A. Korczyn, A. Lees, R. Levy, I. Litvan, Y. Mizuno, I. G. McKeith, C. W. Olanow, W. Poewe, C. Sampaio, E. Tolosa, and M. Emre, "Diagnostic procedures for Parkinson's disease dementia: Recommendations from the Movement Disorder Society Task Force," Movement Disorders, vol. 22, no. 16, pp. 2314-2324, 2007.
[38]
J. W. Langston, "Neurotoxins and their potential roles in neurodegeneration held by the New York Academy of Sciences on May 6- 8, 1991 in New York--Preface," Ann. New York Acad. Sci., vol. 648, pp. R11-R13, 1992.
[39]
M. M. Hoehn and M. D. Yahr, "Parkinsonism--Onset progression and mortality," Neurology, vol. 17, no. 5, pp. 427-442, 1967.
[40]
M. Hamilton, "A rating scale for depression," J. Neurol. Neurosurgery Psychiatry, vol. 23, no. 1, pp. 56-62, 1960.
[41]
V. Hachinski, C. Iadecola, R. C. Petersen, M. M. Breteler, D. L. Nyenhuis, S. E. Black, W. J. Powers, C. DeCarli, J. G. Merino, R. N. Kalaria, H. V. Vinters, D. M. Holtzman, G. A. Rosenberg, A. Wallin, M. Dichgans, J. R. Marler, and G. G. Leblanc, "National Institute of Neurological Disorders and Stroke-Canadian Stroke Network vascular cognitive impairment harmonization standards," Stroke, vol. 37, no. 9, pp. 2220-2241, 2006.
[42]
F. Segonne, A. M. Dale, E. Busa, M. Glessner, D. Salat, H. K. Hahn, and B. Fischl, "A hybrid approach to the skull stripping problem in MRI," Neuroimage, vol. 22, no. 3, pp. 1060-1075, 2004.
[43]
B. Fischl, D. H. Salat, A. J. W. van der Kouwe, N. Makris, F. Segonne, B. T. Quinn, and A. M. Dale, "Sequence-independent segmentation of magnetic resonance images," Neuroimage, vol. 23, pp. S69-S84, 2004.
[44]
J. G. Sled, A. P. Zijdenbos, and A. C. Evans, "A nonparametric method for automatic correction of intensity nonuniformity in MRI data," IEEE Trans. Med. Imaging, vol. 17, no. 1, pp. 87-97, Feb. 1998.
[45]
F. Segonne, J. Pacheco, and B. Fischl, "Geometrically accurate topology-correction of cortical surfaces using nonseparating loops," IEEE Trans.Med. Imaging, vol. 26, no. 4, pp. 518-529, Apr. 2007.
[46]
A. M. Dale, B. Fischl, and M. I. Sereno, "Cortical surface-based analysis--I. Segmentation and surface reconstruction," Neuroimage, vol. 9, no. 2, pp. 179-194, 1999.
[47]
B. Fischl and A. M. Dale, "Measuring the thickness of the human cerebral cortex from magnetic resonance images," Proc. Natl. Acad. Sci. USA, vol. 97, no. 20, pp. 11050-11055, 2000.
[48]
R. S. Desikan, F. Segonne, B. Fischl, B. T. Quinn, B. C. Dickerson, D. Blacker, R. L. Buckner, A. M. Dale, R. P. Maguire, B. T. Hyman, M. S. Albert, and R. J. Killiany, "An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest," Neuroimage, vol. 31, no. 3, pp. 968-980, 2006.
[49]
R. E. Kass and R. Natarajan, "A default conjugate prior for variance components in generalized linear mixed models (comment on article by Browne and Draper)," Bayesian Anal., vol. 1, pp. 535- 542, 2006.
[50]
K. J. Friston, D. E. Glaser, R. N. A. Henson, S. Kiebel, C. Phillips, and J. Ashburner, "Classical and Bayesian inference in neuroimaging: applications." NeuroImage vol. 16, pp. 484-512, 2002.
[51]
K. J. Friston, W. Penny, C. Phillips, S. Kiebel, G. Hinton, and J. Ashburner, "Classical and Bayesian inference in neuroimaging: theory," NeuroImage, vol. 16, pp. 465-483. 2002.
[52]
K. J. Friston and W. Penny, "Posterior probability maps and SPMs," NeuroImage, vol. 19, pp. 1240-1249, 2003.
[53]
D. A. Berry and Y. Hochberg, "Bayesian perspectives on multiple comparisons," J. Statist. Plan. Inference, vol. 82, pp. 215-227, 1999.
[54]
M. Tadesse, J. Ibrahim, M. Vannucci, and R. Gentleman, "Wavelet thresholding with Bayesian false discovery rate control," Biometrics, vol. 61, no. 1, pp. 25-35, 2005.
[55]
J. D. Blume, "Tutorial in biostatistics: Likelihood methods for measuring statistical evidence," Statist. Med., vol. 21, pp. 2563- 2599, 2002.
[56]
A. E. Cavanna and M. R. Trimble, "The precuneus: A review of its functional anatomy and behavioural correlates," Brain, vol. 129, pp. 564-583, 2006.
[57]
T. Fitzpatrick, P. Mattis, and D. Eidelberg, "Functional imaging of cognitive impairment in Parkinson's disease," Clin. EEG Neurosci., vol. 41, no. 3, pp. 119-126, 2010.
[58]
N. I. Bohnen, S. Minoshima, B. Giordani, K. A. Frey, and D. E. Kuhl, "Motor correlates of occipital glucose hypometabolism in Parkinson's disease without dementia," Neurology, vol. 52, no. 3, pp. 541-546, 1999.
[59]
S. Nagamachi, H. Wakamatsu, S. Kiyohara, S. Fujita, S. Futami, S. Tamura, M. Nakazato, S. Yamashita, H. Arita, R. Nishii, and K. Kawai, "Usefulness of rCBF analysis in diagnosing Parkinson's disease: supplemental role with MIBG myocardial scintigraphy," Ann. Nucl. Med., vol. 22, no. 7, pp. 557-564, 2008.
[60]
B. Ramirez-Ruiz, M. J. Marti, E. Tolosa, M. Gimenez, N. Bargallo, F. Valldeoriola, and C. Junque, "Cerebral atrophy in Parkinson's disease patients with visual hallucinations," Eur. J. Neurol., vol. 14, no. 7, pp. 750-756, 2007.
[61]
S. D. Newman, P. A. Carpenter, S. Varma, and M. A. Just, "Frontal and parietal participation in problem solving in the Tower of London: fMRI and computational modeling of planning and high-level perception," Neuropsychologia, vol. 41, no. 12, pp. 1668-1682, 2003.
[62]
H. R. Naghavi, and L. Nyberg, "Common fronto-parietal activity in attention, memory, and consciousness: Shared demands on integration?" Conscious Cogn., vol. 14, no. 2, pp. 390-425, 2005.
[63]
J. L. Vincent, I. Kahn, A. Z. Snyder, M. E. Raichle, and R. L. Buckner, "Evidence for a frontoparietal control system revealed by intrinsic functional connectivity," J. Neurophysiol., vol. 100, no. 6, pp. 3328-3342, 2008.
[64]
O. Monchi, M. Petrides, J. Doyon, R. B. Postuma, K. Worsley, and A. Dagher, "Neural bases of set-shifting deficits in Parkinson's disease," J. Neurosci., vol. 24, no. 3, pp. 702-710, 2004.
Recommendations
Failed Suppression of Direct Visuomotor Activation in Parkinson's Disease
The response times in choice-reaction tasks are faster when the relative spatial positions of stimulus and response match than when they do not match, even when the spatial relation is irrelevant to response choice. This spatial stimulus–response (S–R) ...
Startle habituation and midfrontal theta activity in parkinson disease
The ability to adapt to aversive stimuli is critical for mental health. Here, we investigate the relationship between habituation to startling stimuli and startle-related activity in medial frontal cortex as measured by EEG in both healthy control ...
Comments
Information & Contributors
Information
Published In
Copyright © 2018.
Publisher
IEEE Computer Society Press
Washington, DC, United States
Publication History
Published: 01 March 2018
Published in TCBB Volume 15, Issue 2
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 62Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)0
Reflects downloads up to 27 Feb 2025
Other Metrics
Citations
Cited By
View all- Yu XWang HFeng WGong HCao GVarela CCastro HBarrios C(2016)cuARTProceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing10.1109/CCGrid.2016.96(165-168)Online publication date: 16-May-2016
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in