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Neuroradiology

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01-03-2020 | Parkinson's Disease | Diagnostic Neuroradiology

Alterations of regional homogeneity in Parkinson’s disease with mild cognitive impairment: a preliminary resting-state fMRI study

Authors: Ming-ge Li, Tie-fang Liu, Tian-hao Zhang, Zhi-ye Chen, Bin-bin Nie, Xin Lou, Zhen-fu Wang, Lin Ma

Published in: Neuroradiology | Issue 3/2020

Abstract

Purpose

Mild cognitive impairment (MCI) is commonly observed in Parkinson’s disease (PD), even in the early stages. However, the neural substrates of cognitive impairment in PD remain unclear. The aim of the current study was to investigate the change of local brain function in PD patients with MCI.

Methods

Fifty patients with PD, including 25 PD patients with MCI (PD-MCI) and 25 PD patients with normal cognition (PD-NC), and 25 age- and sex-matched healthy controls (HC) were enrolled. Conventional magnetic resonance imaging (MRI), 3D structural images, and resting state-functional MRI (rs-fMRI) were performed in all subjects. Regional homogeneity (ReHo) was measured based on the rs-fMRI images to investigate the altered local brain functions.

Results

Brain regions with decreased ReHo were located in the left posterior cerebellar lobe in PD sub-groups compared to the HC group, and the brain regions with increased ReHo were located in the limbic lobe (right precuneus/bilateral middle cingulate cortex) in PD-MCI compared with HC group. PD-MCI presented with increased ReHo in the bilateral precuneus/left superior parietal lobe and decreased ReHo in the left insula compared to PD-NC. ReHo values for the left precuneus were negatively related to neuropsychological scores, and ReHo values for the left insula were positively related to neuropsychological scores in PD subjects.

Conclusion

The present study demonstrated abnormal spontaneous synchrony in the left insula and left precuneus in patients with PD-MCI compared to PD-NC, which might provide a novel insight into the diagnosis and clinical treatment of cognitive impairment in PD.

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Miller DB, O'Callaghan JP (2015) Biomarkers of Parkinson’s disease: present and future. Metabolism 64:S40–S46CrossRef

Klepac N, Trkulja V, Relja M, Babic T (2008) Is quality of life in non-demented Parkinson’s disease patients related to cognitive performance? A clinic-based cross-sectional study. Eur J Neurol 15:128–133CrossRef

Goldman JG, Bledsoe IO, Merkitch D, Dinh V, Bernard B, Stebbins GT (2017) Corpus callosal atrophy and associations with cognitive impairment in Parkinson disease. Neurology 88:1265–1272CrossRef

Pfeiffer HC, Lokkegaard A, Zoetmulder M, Friberg L, Werdelin L (2014) Cognitive impairment in early-stage non-demented Parkinson’s disease patients. Acta Neurol Scand 129:307–318CrossRef

Santangelo G, Vitale C, Picillo M, Moccia M, Cuoco S, Longo K, Pezzella D, Grazia A, Erro R, Pellecchia MT, Amboni M, Trojano L, Barone P (2015) Mild cognitive impairment in newly diagnosed Parkinson’s disease: a longitudinal prospective study. Parkinsonism Relat Disord 21:1219–1226CrossRef

Hely MA, Reid WG, Adena MA, Halliday GM, Morris JG (2008) The Sydney multicenter study of Parkinson’s disease: the inevitability of dementia at 20 years. Mov Disord 23:837–844CrossRef

Litvan I, Goldman JG, Troster AI, Schmand BA, Weintraub D, Petersen RC, Mollenhauer B, Adler CH, Marder K, Williams-Gray CH, Aarsland D, Kulisevsky J, Rodriguez-Oroz MC, Burn DJ, Barker RA, Emre M (2012) Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: Movement Disorder Society Task Force guidelines. Mov Disord 27:349–356CrossRef

Gratwicke J, Jahanshahi M, Foltynie T (2015) Parkinson’s disease dementia: a neural networks perspective. Brain 138:1454–1476CrossRef

Lin CH, Wu RM (2015) Biomarkers of cognitive decline in Parkinson’s disease. Parkinsonism Relat Disord 21:431–443CrossRef

10.

Harrington DL, Shen Q, Castillo GN, Filoteo JV, Litvan I, Takahashi C, French C (2017) Aberrant intrinsic activity and connectivity in cognitively normal Parkinson’s disease. Front Aging Neurosci 9:197CrossRef

11.

Lou Y, Huang P, Li D, Cen Z, Wang B, Gao J, Xuan M, Yu H, Zhang M, Luo W (2015) Altered brain network centrality in depressed Parkinson’s disease patients. Mov Disord 30:1777–1784CrossRef

12.

Wang X, Li J, Wang M, Yuan Y, Zhu L, Shen Y, Zhang H, Zhang K (2018) Alterations of the amplitude of low-frequency fluctuations in anxiety in Parkinson’s disease. Neurosci Lett 668:19–23CrossRef

13.

Zhou C, Zhong X, Yang Y, Yang W, Wang L, Zhang Y, Nie K, Xu J, Huang B (2018) Alterations of regional homogeneity in freezing of gait in Parkinson’s disease. J Neurol Sci 387:54–59CrossRef

14.

Li J, Yuan Y, Wang M, Zhang J, Zhang L, Jiang S, Ding J, Zhang K (2017) Alterations in regional homogeneity of resting-state brain activity in fatigue of Parkinson’s disease. J Neural Transm 124:1187–1195CrossRef

15.

Wen M, Ng S, Heng H, Chao Y, Chan L, Tan E, Tan L (2016) Neural substrates of excessive daytime sleepiness in early drug naive Parkinson’s disease: a resting state functional MRI study. Parkinsonism Relat Disord 24:63–68CrossRef

16.

Li Y, Liang P, Jia X, Li K (2016) Abnormal regional homogeneity in Parkinson’s disease: a resting state fMRI study. Clin Radiol 71:e28–e34CrossRef

17.

Ren P, Lo RY, Chapman BP, Mapstone M, Porsteinsson A, Lin FI (2016) Longitudinal alteration of intrinsic brain activity in the striatum in mild cognitive impairment. J Alzheimers Dis 54:69–78CrossRef

18.

Wang Z, Jia X, Chen H, Feng T, Wang H (2018) Abnormal spontaneous brain activity in early Parkinson’s disease with mild cognitive impairment: a resting-state fMRI study. Front Physiol 9:1093CrossRef

19.

Zhang Z, Liu Y, Jiang T, Zhou B, An N, Dai H, Wang P, Niu Y, Wang L, Zhang X (2012) Altered spontaneous activity in Alzheimer’s disease and mild cognitive impairment revealed by regional homogeneity. Neuroimage 59:1429–1440CrossRef

20.

Postuma RB, Berg D, Stern M, Poewe W, Olanow CW, Oertel W, Obeso J, Marek K, Litvan I, Lang AE, Halliday G, Goetz CG, Gasser T, Dubois B, Chan P, Bloem BR, Adler CH, Deuschl G (2015) MDS clinical diagnostic criteria for Parkinson’s disease. Mov Disord 30:1591–1601CrossRef

21.

Hou Y, Luo C, Yang J, Ou R, Song W, Wei Q, Cao B, Zhao B, Wu Y, Shang H, Gong Q (2016) Prediction of individual clinical scores in patients with Parkinson’s disease using resting-state functional magnetic resonance imaging. J Neurol Sci 366:27–32CrossRef

22.

Dalrymple-Alford JC, MacAskill MR, Nakas CT, Livingston L, Graham C, Crucian GP, Melzer TR, Kirwan J, Keenan R, Wells S, Porter RJ, Watts R, Anderson TJ (2010) The MoCA: well-suited screen for cognitive impairment in Parkinson disease. Neurology 75:1717–1725CrossRef

23.

Goto M, Abe O, Aoki S, Hayashi N, Miyati T, Takao H, Iwatsubo T, Yamashita F, Matsuda H, Mori H, Kunimatsu A, Ino K, Yano K, Ohtomo KI (2013) Diffeomorphic anatomical registration through exponentiated lie algebra provides reduced effect of scanner for cortex volumetry with atlas-based method in healthy subjects. Neuroradiology 55:869–875CrossRef

24.

Chen Z, Chen X, Liu M, Ma L, Yu S (2019) Volume of hypothalamus as a diagnostic biomarker of chronic migraine. Front Neurol 10:606CrossRef

25.

Qian W, Fischer CE, Churchill NW, Kumar S, Rajji T, Schweizer TA (2019) Delusions in Alzheimer disease are associated with decreased default mode network functional connectivity. Am J Geriatr Psychiatry 27:1060–1068CrossRef

26.

Stoodley CJ, Valera EM, Schmahmann JD (2012) Functional topography of the cerebellum for motor and cognitive tasks: an fMRI study. Neuroimage 59:1560–1570CrossRef

27.

Tang Y, Meng L, Wan CM, Liu Z, Liao W, Yan X, Wang X, Tang B, Guo J (2017) Identifying the presence of Parkinson’s disease using low-frequency fluctuations in BOLD signals. Neurosci Lett 645:1–6CrossRef

28.

Yu H, Sternad D, Corcos DM, Vaillancourt DE (2007) Role of hyperactive cerebellum and motor cortex in Parkinson’s disease. Neuroimage 35:222–233CrossRef

29.

Zhang J, Wei L, Hu X, Zhang Y, Zhou D, Li C, Wang X, Feng H, Yin X, Xie B, Wang J (2013) Specific frequency band of amplitude low-frequency fluctuation predicts Parkinson’s disease. Behav Brain Res 252:18–23CrossRef

30.

Wang Y, Zhao X, Xu S, Yu L, Wang L, Song M, Yang L, Wang X (2015) Using regional homogeneity to reveal altered spontaneous activity in patients with mild cognitive impairment. Biomed Res Int 2015:807093PubMedPubMedCentral

31.

Putcha D, Ross RS, Cronin-Golomb A, Janes AC, Stern CE (2016) Salience and default mode network coupling predicts cognition in aging and Parkinson’s disease. J Int Neuropsychol Soc 22:205–215CrossRef

32.

Tessitore A, Esposito F, Vitale C, Santangelo G, Amboni M, Russo A, Corbo D, Cirillo G, Barone P, Tedeschi G (2012) Default-mode network connectivity in cognitively unimpaired patients with Parkinson disease. Neurology 79:2226–2232CrossRef

33.

Wang Z, Jia X, Liang P, Qi Z, Yang Y, Zhou W, Li K (2012) Changes in thalamus connectivity in mild cognitive impairment: evidence from resting state fMRI. Eur J Radiol 81:277–285CrossRef

34.

Szewczyk-Krolikowski K, Menke RA, Rolinski M, Duff E, Salimi-Khorshidi G, Filippini N, Zamboni G, Hu M, Mackay CE (2014) Functional connectivity in the basal ganglia network differentiates PD patients from controls. Neurology 83:208–214CrossRef

35.

Xiang J, Jia X, Li H, Qin J, Liang P, Li K (2016) Altered spontaneous brain activity in cortical and subcortical regions in Parkinson’s disease. Parkinsons Dis 2016:5246021PubMedPubMedCentral

36.

Monchi O, Petrides M, Doyon J, Postuma RB, Worsley K, Dagher A (2004) Neural bases of set-shifting deficits in Parkinson’s disease. J Neurosci 24:702–710CrossRef

37.

Shine JM, Halliday GM, Gilat M, Matar E, Bolitho SJ, Carlos M, Naismith SL, Lewis SJ (2014) The role of dysfunctional attentional control networks in visual misperceptions in Parkinson’s disease. Hum Brain Mapp 35:2206–2219CrossRef

38.

Li M, Chen Y, Chen Z, Feng J, Liu M, Lou X, Shu S, Wang Z, Ma L (2019) Altered functional connectivity of the marginal division in Parkinson’s disease with mild cognitive impairment: a pilot resting-state fMRI study. J Magn Reson Imaging 50:183–192CrossRef

39.

Xie C, Bai F, Yu H, Shi Y, Yuan Y, Chen G, Li W, Chen G, Zhang Z, Li S (2012) Abnormal insula functional network is associated with episodic memory decline in amnestic mild cognitive impairment. Neuroimage 63:320–327CrossRef

40.

Wang H, Chen H, Wu J, Tao L, Pang Y, Gu M, Lv F, Luo T, Cheng O, Sheng K, Luo J, Hu Y, Fang W (2018) Altered resting-state voxel-level whole-brain functional connectivity in depressed Parkinson’s disease. Parkinsonism Relat Disord 50:74–80CrossRef

Title: Alterations of regional homogeneity in Parkinson’s disease with mild cognitive impairment: a preliminary resting-state fMRI study
Authors: Ming-ge Li
Tie-fang Liu
Tian-hao Zhang
Zhi-ye Chen
Bin-bin Nie
Xin Lou
Zhen-fu Wang
Lin Ma
Publication date: 01-03-2020
Publisher: Springer Berlin Heidelberg
Keywords: Parkinson's Disease
Mild Neurocognitive Disorder
Published in: Neuroradiology / Issue 3/2020
Print ISSN: 0028-3940
Electronic ISSN: 1432-1920
DOI: https://doi.org/10.1007/s00234-019-02333-7

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Alterations of regional homogeneity in Parkinson’s disease with mild cognitive impairment: a preliminary resting-state fMRI study

Abstract

Purpose

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusion

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