Abnormal resting-state functional connectivity strength in mild cognitive impairment and its conversion to Alzheimer's disease

Neural Plasticity

Volumn 2016, Issue , 2016, Pages

  Li, Yuxia ^a,b   Wang, Xiaoni ^a   Li, Yongqiu ^b   Sun, Yu ^a   Sheng, Can ^a   Li, Hongyan ^a   Li, Xuanyu ^a   Yu, Yang ^a   Chen, Guanqun ^a   Hu, Xiaochen ^c   Jing, Bin ^d   Wang, Defeng ^e   Li, Kuncheng ^a   Jessen, Frank ^c   Xia, Mingrui ^f   Han, Ying ^a,g  

^a CAPITAL MEDICAL UNIVERSITY   (China)

^b TANGSHAN GONGREN HOSPITAL   (China)

^c UNIVERSITY HOSPITAL OF COLOGNE   (Germany)

^d CAPITAL MEDICAL UNIVERSITY   (China)

^e CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^f BEIJING NORMAL UNIVERSITY   (China)

^g BEIJING INSTITUTE FOR BRAIN DISORDERS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ALZHEIMER DISEASE; ANGULAR GYRUS; ARTICLE; CLOCK DRAWING TEST; CONNECTOME; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DEFAULT MODE NETWORK; DISEASE COURSE; DORSOLATERAL PREFRONTAL CORTEX; FEMALE; FUNCTIONAL CONNECTIVITY STRENGTH; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INFERIOR PARIETAL LOBULE; LEFT HEMISPHERE; MAJOR CLINICAL STUDY; MALE; MIDDLE OCCIPITAL GYRUS; MILD COGNITIVE IMPAIRMENT; MINI MENTAL STATE EXAMINATION; MONTREAL COGNITIVE ASSESSMENT; NUCLEAR MAGNETIC RESONANCE SCANNER; RESTING STATE NETWORK; REY AUDITORY VERBAL LEARNING TEST; RIGHT HEMISPHERE; SUPPORT VECTOR MACHINE; TEMPORAL CORTEX; BRAIN; BRAIN MAPPING; COGNITIVE DEFECT; MIDDLE AGED; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PHYSIOLOGY; VERY ELDERLY;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; BRAIN; BRAIN MAPPING; COGNITIVE DYSFUNCTION; CONNECTOME; DISEASE PROGRESSION; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NERVE NET;

EID: 84957053215     PISSN: 20905904     EISSN: 16875443     Source Type: Journal    
DOI: 10.1155/2016/4680972     Document Type: Article

References (65)

1. B. Dubois, H. H. Feldman, C. Jacova, et al., "Advancing research diagnostic criteria for Alzheimers disease: the IWG-2 criteria, " The Lancet Neurology, vol. 13, no. 6, pp. 614-629, 2014.
2. R. C. Petersen, R. Doody, A. Kurz, et al., "Current concepts in mild cognitive impairment, " Archives of Neurology, vol. 58, no. 12, pp. 1985-1992, 2001.
3. N. Fayed, P. J. Modrego, G. R. Salinas, and J. Gazulla, "Magnetic resonance imaging based clinical research in Alzheimers disease, " Journal of Alzheimers Disease, vol. 31, supplement 3, pp. S5-S18, 2012.
4. M. P. Wattjes, "Structural MRI, " International Psychogeriatrics/IPA, vol. 23, supplement 2, pp. S13-S24, 2011.
5. L. G. Apostolova, L. Mosconi, P. M. Thompson, et al., "Subregional hippocampal atrophy predicts Alzheimers dementia in the cognitively normal, " Neurobiology of Aging, vol. 31, no. 7, pp. 1077-1088, 2010.
6. F. Bai, C. Xie, D. R. Watson, et al., "Aberrant hippocampal subregion networks associated with the classifications of aMCI subjects: a longitudinal resting-state study, " PLoS ONE, vol. 6, no. 12, Article ID e29288, 2011.
7. S. F. Eskildsen, P. Coupé, V. S. Fonov, J. C. Pruessner, and D. L. Collins, "Structural imaging biomarkers of Alzheimers disease: predicting disease progression, " Neurobiology of Aging, vol. 36, supplement 1, pp. S23-S31, 2015.
8. F. Bai, D. R. Watson, Y. Shi, et al., "Specificallyprogressivedeficits of brain functional marker in amnestic type mild cognitive impairment, " PLoS ONE, vol. 6, no. 9, Article ID e24271, 2011.
9. M. A. A. Binnewijzend, M. M. Schoonheim, E. Sanz-Arigita, et al., "Resting-state fMRI changes inAlzheimers disease and mild cognitive impairment, " Neurobiology of Aging, vol. 33, no. 9, pp. 2018-2028, 2012.
10. O. Dipasquale, L. Griffanti, M. Clerici, R. Nemni, G. Baselli, and F. Baglio, "High-dimensional ica analysis detects withinnetwork functional connectivity damage of default-mode and sensory-motor networks in alzheimers disease, " Frontiers in Human Neuroscience, vol. 9, article 43, 2015.
11. Z. Wang, P. Liang, X. Jia, et al., "The baseline and longitudinal changes of PCC connectivity in mild cognitive impairment: a combined structure and resting-state fMRI study, " PLoS ONE, vol. 7, no. 5, Article ID e36838, 2012.
12. Z. Wang, X. Jia, P. Liang, et al., "Changes in thalamus connectivity in mild cognitive impairment: evidence fromresting state fMRI, " European Journal of Radiology, vol. 81, no. 2, pp. 277-285, 2012.
13. Z. Dai, C. Yan, K. Li, et al., "Identifying and mapping connectivity patterns of brain network hubs in Alzheimers disease, " Cerebral Cortex, vol. 25, no. 10, pp. 3723-3742, 2015.
14. X. Liang, Q. Zou, Y. He, and Y. Yang, "Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain, " Proceedings of the National Academy of Sciences of the United States of America, vol. 110, no. 5, pp. 1929-1934, 2013.
15. R. L. Buckner, J. Sepulcre, T. Talukdar, et al., "Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimers disease, " The Journal of Neuroscience, vol. 29, no. 6, pp. 1860-1873, 2009.
16. R. C. Petersen, "Mild cognitive impairment as a diagnostic entity, " Journal of InternalMedicine, vol. 256, no. 3, pp. 183-194, 2004.
17. B. Dubois, H. H. Feldman, C. Jacova, et al., "Research criteria for the diagnosis of Alzheimers disease: revising the NINCDSADRDA criteria, " The Lancet Neurology, vol. 6, no. 8, pp. 734-746, 2007.
18. American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders, American Psychiatric Press, Washington, DC, USA, 4th edition, 1994.
19. Z. Zhenxin, H. Xia, L. Hui, and et al, "The mini-mental state examination in the Chinese residents population aged 55 years and over in the urban and rural areas of Beijing, " Chinese Journal of Neurology, vol. 32, no. 3, pp. 149-153, 1999.
20. J. Lu, D. Li, F. Li, et al., "Montreal cognitive assessment in detecting cognitive impairment in Chinese elderly individuals: a population-based study, " Journal of Geriatric Psychiatry and Neurology, vol. 24, no. 4, pp. 184-190, 2011.
21. D. C. Delis, J. H. Kramer, E. Kaplan, and B. A. Ober, California Verbal Learning Test: Adult Version Manual, The Psychological Corporation, San Antonio, Tex, USA, 1987.
22. J. C. Morris, "The Clinical Dementia Rating (CDR): current version and scoring rules, " Neurology, vol. 43, no. 11, pp. 2412-2414, 1993.
23. R. C. Oldfield, "The assessment and analysis of handedness: the Edinburgh inventory, " Neuropsychologia, vol. 9, no. 1, pp. 97-113, 1971.
24. Y. Chao-Gan and Z. Yu-Feng, "DPARSF: a MATLAB toolbox for "pipeline" data analysis of resting-state fMRI, " Frontiers in System Neuroscience, vol. 4, article 13, 2010.
25. J. Ashburner, "A fast diffeomorphic image registration algorithm, " Neuro Image, vol. 38, no. 1, pp. 95-113, 2007.
26. A. Ledberg, S. Akerman, and P. E. Roland, "Estimation of the probabilities of 3D clusters in functional brain images, " Neuro Image, vol. 8, no. 2, pp. 113-128, 1998.
27. X.-W. Song, Z.-Y. Dong, X.-Y. Long, et al., "REST: a toolkit for resting-state functional magnetic resonance imaging data processing, " PLoS ONE, vol. 6, no. 9, Article ID e25031, 2011.
28. L.-L. Zeng, D. Wang, M. D. Fox, et al., "Neurobiological basis of head motion in brain imaging, " Proceedings of the National Academy of Sciences of the United States of America, vol. 111, no. 16, pp. 6058-6062, 2014.
29. K. R. A. van Dijk, M. R. Sabuncu, and R. L. Buckner, "The influence of head motion on intrinsic functional connectivity MRI, " Neuro Image, vol. 59, no. 1, pp. 431-438, 2012.
30. J. D. Power, K. A. Barnes, A. Z. Snyder, B. L. Schlaggar, and S. E. Petersen, "Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion, " Neuro Image, vol. 59, no. 3, pp. 2142-2154, 2012.
31. M. D. Fox, D. Zhang, A. Z. Snyder, and M. E. Raichle, "The global signal and observed anticorrelated resting state brain networks, " Journal of Neurophysiology, vol. 101, no. 6, pp. 3270-3283, 2009.
32. R. M. Birn, J. B. Diamond, M. A. Smith, and P. A. Bandettini, "Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI, " Neuro Image, vol. 31, no. 4, pp. 1536-1548, 2006.
33. A. Weissenbacher, C. Kasess, F. Gerstl, R. Lanzenberger, E. Moser, and C. Windischberger, "Correlations and anticorrelations in resting-state functional connectivity MRI: a quantitative comparison of preprocessing strategies, " Neuro Image, vol. 47, no. 4, pp. 1408-1416, 2009.
34. K. Murphy, R. M. Birn, D. A. Handwerker, T. B. Jones, and P. A. Bandettini, "The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?" Neuro Image, vol. 44, no. 3, pp. 893-905, 2009.
35. Y. Han, J. Wang, Z. Zhao, et al., "Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: a resting-state fMRI study, " Neuro Image, vol. 55, no. 1, pp. 287-295, 2011.
36. J. Wang, X. Zuo, Z. Dai, et al., "Disrupted functional brain connectome in individuals at risk for Alzheimers disease, " Biological Psychiatry, vol. 73, no. 5, pp. 472-481, 2013.
37. P.-J. Toussaint, S. Maiz, D. Coynel, et al., "Characteristics of the default mode functional connectivity in normal ageing and Alzheimers disease using resting state fMRI with a combined approach of entropy-based and graph theoretical measurements, " Neuro Image, vol. 101, pp. 778-786, 2014.
38. N. Gour, O. Felician, M. Didic, et al., "Functional connectivity changes differ in early and late-onset Alzheimers disease, " Human Brain Mapping, vol. 35, no. 7, pp. 2978-2994, 2014.
39. J. Cha, H. J. Jo, H. J. Kim, et al., "Functional alteration patterns of defaultmode networks: comparisons of normal aging, amnestic mild cognitive impairment and Alzheimers disease, " The European Journal of Neuroscience, vol. 37, no. 12, pp. 1916-1924, 2013.
40. J. Persson, S. Pudas, L.-G. Nilsson, and L. Nyberg, "Longitudinal assessment of default-mode brain function in aging, " Neurobiology of Aging, vol. 35, no. 9, pp. 2107-2117, 2014.
41. C. Sorg, V. Riedl, M. Mühlau, et al., "Selective changes of restingstate networks in individuals at risk for Alzheimers disease, " Proceedings of the National Academy of Sciences of the United States of America, vol. 104, no. 47, pp. 18760-18765, 2007.
42. M. A. Mintun, G. N. Larossa, Y. I. Sheline, et al., "11CPIB in a nondemented population: potential antecedent marker of Alzheimer disease, " Neurology, vol. 67, no. 3, pp. 446-452, 2006.
43. H. Matsuda, "Cerebral blood flow and metabolic abnormalities in Alzheimers disease, " Annals of Nuclear Medicine, vol. 15, no. 2, pp. 85-92, 2001.
44. J. S. Damoiseaux, K. E. Prater, B. L. Miller, and M. D. Greicius, "Functional connectivity tracks clinical deterioration in Alzheimers disease, " Neurobiology of Aging, vol. 33, no. 4, pp. 828. e19-828. e30, 2012.
45. Z. Hu, C. Sheng, Y. Sun, et al., "Structural and resting state functional MRI characteristics of patients at high risk for Alzheimers disease, " Chinese Journal of Neurology, vol. 47, no. 12, pp. 824-830, 2014.
46. P. M. Bays and M. Husain, "Dynamic shifts of limited working memory resources in human vision, " Science, vol. 321, no. 5890, pp. 851-854, 2008.
47. M. Weiler, A. Fukuda, L. H. P. Massabki, et al., "Default mode, executive function, and language functional connectivity networks are compromised in mild Alzheimers disease, " Current Alzheimer Research, vol. 11, no. 3, pp. 274-282, 2014.
48. S. Cai, L. Huang, J. Zou, et al., "Changes in thalamic connectivity in the early and late stages of amnestic mild cognitive impairment: a resting-state functionalmagnetic resonance study from ADNI, " PLoS ONE, vol. 10, no. 2, Article ID e0115573, 2015.
49. B. Zhou, Y. Liu, Z. Zhang, et al., "Impaired functional connectivity of the thalamus in Alzheimers disease and mild cognitive impairment: a resting-state fMRI study, " Current Alzheimer Research, vol. 10, no. 7, pp. 754-766, 2013.
50. M. Ewers, P. S. Insel, Y. Stern, M. W. Weiner, and The Alzheimers Disease Neuroimaging Initiative, "Cognitive reserve associated with FDG-PET in preclinical Alzheimer disease, " Neurology, vol. 80, no. 13, pp. 1194-1201, 2013.
51. K. Motomura, M. Fujii, S. Maesawa, S. Kuramitsu, A. Natsume, and T. Wakabayashi, "Association of dorsal inferior frontooccipital fasciculus fibers in the deep parietal lobe with both reading and writing processes: a brain mapping study, " Journal of Neurosurgery, vol. 121, no. 1, pp. 142-148, 2014.
52. Z. Wang, M. Xia, Z. Dai, et al., "Differentially disrupted functional connectivity of the subregions of the inferior parietal lobule in Alzheimers disease, " Brain Structure and Function, vol. 220, no. 2, pp. 745-762, 2015.
53. H. I. L. Jacobs, M. P. J. VanBoxtel, A. Heinecke, et al., "Functional integration of parietal lobe activity in early Alzheimer disease, " Neurology, vol. 78, no. 5, pp. 352-360, 2012.
54. F. Bai, W. Liao, D. R. Watson, et al., "Abnormal whole-brain functional connection in amnestic mild cognitive impairment patients, " Behavioural Brain Research, vol. 216, no. 2, pp. 666-672, 2011.
55. A. Caroli, C. Geroldi, F. Nobili, et al., "Functional compensation in incipient Alzheimers disease, " Neurobiology of Aging, vol. 31, no. 3, pp. 387-397, 2010.
56. K. Abuhassan, D. Coyle, A. Belatreche, and L. Maguire, "Compensating for synaptic loss in Alzheimers disease, " Journal of Computational Neuroscience, vol. 36, no. 1, pp. 19-37, 2014.
57. A. Tramutola, J. C. Triplett, F. Di Domenico, et al., "Alteration of mTOR signaling occurs early in the progression of Alzheimer disease (AD): analysis of brain from subjects with pre-clinical AD, amnestic mild cognitive impairment and late-stage AD, " Journal of Neurochemistry, vol. 133, no. 5, pp. 739-749, 2015.
58. K.-I. Yamashita, Y. Taniwaki, H. Utsunomiya, and T. Taniwaki, "Cerebral blood flow reduction associated with orientation for time in amnesic mild cognitive impairment and Alzheimer disease patients, " Journal of Neuroimaging, vol. 24, no. 6, pp. 590-594, 2014.
59. H.-Y. Zhang, S.-J. Wang, J. Xing, et al., "Detection of PCC functional connectivity characteristics in resting-state fMRI in mild Alzheimers disease, " Behavioural Brain Research, vol. 197, no. 1, pp. 103-108, 2009.
60. L. G. Apostolova, C. A. Steiner, G. G. Akopyan, et al., "Threedimensional gray matter atrophy mapping in mild cognitive impairment andmildAlzheimer disease, " Archives of Neurology, vol. 64, no. 10, pp. 1489-1495, 2007.
61. R. Ossenkoppele, N. Tolboom, J. C. Foster-Dingley, et al., "Longitudinal imaging of Alzheimer pathology using 11CPIB, 18FFDDNP and 18FFDG PET, " European Journal of Nuclear Medicine and Molecular Imaging, vol. 39, no. 6, pp. 990-1000, 2012.
62. S. Li, X. Yuan, F. Pu, et al., "Abnormal changes of multidimensional surface features using multivariate pattern classification in amnestic mild cognitive impairment patients, " The Journal of Neuroscience, vol. 34, no. 32, pp. 10541-10553, 2014.
63. S.-H. Lin, C.-Y. Yu, and M.-C. Pai, "The occipital white matter lesions in Alzheimers disease patients with visual hallucinations, " Clinical Imaging, vol. 30, no. 6, pp. 388-393, 2006.
64. R. Ossenkoppele, B. I. Cohn-Sheehy, R. La Joie, et al., "Atrophy patterns in early clinical stages across distinct phenotypes of Alzheimers disease, " Human Brain Mapping, 2015.
65. G. J. Yang, J. D. Murray, G. Repovs, et al., "Altered global brain signal in schizophrenia, " Proceedings of the National Academy of Sciences of the United States of America, vol. 111, no. 20, pp. 7438-7443, 2014.