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Olde Dubbelink KTE, Schoonheim MM, Deijen JB, Twisk JWR, Barkhof F, Berendse HW. Functional connectivity and cognitive decline over 3 years in Parkinson disease. Neurology. 2014;83:2046–53. This is one of the few neuroimaging studies aimed at measuring the clinical disease progression of Parkinson’s disease (PD) patients. They investigated 36 PD patients in a 3-year follow-up period. In the baseline, PD patients are characterized by widespread changes in several brain networks with respect to controls. After 3 years, decreasing in functional connectivity progressively worsens, and it was associated with clinical deterioration, especially with cognitive decline. In particular, the posterior parts of the brain (i.e., precuneus, parietal cortex) showed reduction of functional connectivity. This follow-up study confirms that resting-state functional connectivity is an important hallmark of PD-related cognitive decline.
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COI: 1:CAS:528:DC%2BC38XlvVOmu78%3D, PID: 22269223
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Rektorova I, Krajcovicova L, Marecek R, Mikl M. Default mode network and extrastriate visual resting state network in patients with Parkinson’s disease dementia. Neurodegener Dis. 2012;10:232–7.
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47
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A neurocognitive theory of higher mental emergence: from anoetic affective experiences to noetic knowledge and autonoetic awareness
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Vandekerckhove M, Panksepp J. A neurocognitive theory of higher mental emergence: from anoetic affective experiences to noetic knowledge and autonoetic awareness. Neurosci Biobehav Rev. 2011;35:2017–25.
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48
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Default-mode network connectivity in cognitively unimpaired patients with Parkinson disease
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PID: 23100395
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Tessitore A, Esposito F, Vitale C, Santangelo G, Amboni M, Russo A, et al. Default-mode network connectivity in cognitively unimpaired patients with Parkinson disease. Neurology. 2012;79:2226–32.
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49
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84925490504
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Resting-state functional connectivity associated with mild cognitive impairment in Parkinson’s disease
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PID: 25428532
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Amboni M, Tessitore A, Esposito F, Santangelo G, Picillo M, Vitale C, et al. Resting-state functional connectivity associated with mild cognitive impairment in Parkinson’s disease. J Neurol. 2014;262:425–34.
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50
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Resting state functional connectivity is associated with cognitive dysfunction in non-demented people with Parkinson’s disease
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Disbrow EA, Carmichael O, He J, Lanni KE, Dressler EM, Zhang L, et al. Resting state functional connectivity is associated with cognitive dysfunction in non-demented people with Parkinson’s disease. J Parkinson’s Dis. 2014;4:453–65.
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51
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84863473790
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The default mode network integrity in patients with Parkinson’s disease is levodopa equivalent dose-dependent
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COI: 1:CAS:528:DC%2BC38XksVOrs78%3D, PID: 22002597
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Krajcovicova L, Mikl M, Marecek R, Rektorova I. The default mode network integrity in patients with Parkinson’s disease is levodopa equivalent dose-dependent. J Neural Transm. 2012;119:443–54.
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52
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84905111038
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Neurofunctional correlates of attention rehabilitation in Parkinson’s disease: an explorative study
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PID: 24554416, In this neuroimaging study, we demonstrated that the activity of resting-state functional connectivity might be used as hallmark for evaluating the effectiveness of cognitive rehabilitation (CR). Using a randomized controlled study, a group of Parkinson’s disease (PD) patients underwent CR program tailored for attention abilities, while others PD underwent a placebo intervention. CR had beneficial effects on executive functions, which was sustained by underlying improved activity in the attention and central executive neural networks
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Cerasa A, Gioia MC, Salsone M, Donzuso G, Chiriaco C, Realmuto S, et al. Neurofunctional correlates of attention rehabilitation in Parkinson’s disease: an explorative study. Neurol Sci. 2014;35:1173–80. In this neuroimaging study, we demonstrated that the activity of resting-state functional connectivity might be used as hallmark for evaluating the effectiveness of cognitive rehabilitation (CR). Using a randomized controlled study, a group of Parkinson’s disease (PD) patients underwent CR program tailored for attention abilities, while others PD underwent a placebo intervention. CR had beneficial effects on executive functions, which was sustained by underlying improved activity in the attention and central executive neural networks.
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Cerasa, A.1
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53
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84929248450
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The trajectory of disturbed resting-state cerebral function in Parkinson's disease at different Hoehn and Yahr stages
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Luo C, Guo X, Song W, Chen Q, Yang J, Gong Q, Shang HF. The trajectory of disturbed resting-state cerebral function in Parkinson's disease at different Hoehn and Yahr stages. Hum Brain Mapp. 2015;36:3104–16.
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54
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Resting-state fMRI study on drug-naive patients with Parkinson’s disease and with depression
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Luo C, Chen Q, Song W, Chen K, Guo X, Yang J, et al. Resting-state fMRI study on drug-naive patients with Parkinson’s disease and with depression. J Neurol Neurosurg Psychiatry. 2014;4:675–83.
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55
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84896788574
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Altered spontaneous brain activity in patients with Parkinson’s disease accompanied by depressive symptoms, as revealed by regional homogeneity and functional connectivity in the prefrontal-limbic system
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PID: 24404185
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Sheng K, Fang W, Su M, Li R, Zou D, Han Y, et al. Altered spontaneous brain activity in patients with Parkinson’s disease accompanied by depressive symptoms, as revealed by regional homogeneity and functional connectivity in the prefrontal-limbic system. PLoS One. 2014;9:e84705.
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56
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The role of dysfunctional attentional control networks in visual misperceptions in Parkinson’s disease
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PID: 23760982
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Shine JM, Halliday GM, Gilat M, Matar E, Bolitho SJ, Carlos M, et al. The role of dysfunctional attentional control networks in visual misperceptions in Parkinson’s disease. Hum Brain Mapp. 2014;35:2206–19.
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57
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84911420781
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The default mode network is disrupted in Parkinson’s disease with visual hallucinations
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Yao N, Shek-Kwan Chang R, Cheung C, Pang S, Lau KK, Suckling J, et al. The default mode network is disrupted in Parkinson’s disease with visual hallucinations. Hum Brain Mapp. 2014;35:5658–66.
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58
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84889051555
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Altered nigrostriatal and nigrocortical functional connectivity in rapid eye movement sleep behavior disorder
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PID: 24293763
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Ellmore TM, Castriotta RJ, Hendley KL, Aalbers BM, Furr-Stimming E, Hood AJ, et al. Altered nigrostriatal and nigrocortical functional connectivity in rapid eye movement sleep behavior disorder. Sleep. 2013;36:1885–92.
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59
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Wu T, Long X, Zang Y, Wang L, Hallett M, Li K, et al. Regional homogeneity changes in patients with parkinson’s disease. Hum Brain Mapp. 2009;30:1502–10.
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60
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84864989964
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L-DOPA changes spontaneous low-frequency BOLD signal oscillations in Parkinson’s disease: a resting state fMRI study
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Kwak Y, Peltier SJ, Bohnen NI, Müller MLTM, Dayalu P, Seidler RD. L-DOPA changes spontaneous low-frequency BOLD signal oscillations in Parkinson’s disease: a resting state fMRI study. Front Syst Neurosci. 2012;6:52.
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61
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84874847956
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Rhythm-specific modulation of the sensorimotor network in drug-naive patients with Parkinson’s disease by levodopa
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PID: 23423673
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Esposito F, Tessitore A, Giordano A, De Micco R, Paccone A, Conforti R, et al. Rhythm-specific modulation of the sensorimotor network in drug-naive patients with Parkinson’s disease by levodopa. Brain. 2013;136:710–25.
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62
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84922354892
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A network centred on the inferior frontal cortex is critically involved in levodopa-induced dyskinesias
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PID: 25414038
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Cerasa A, Koch G, Donzuso G, Mangone G, Morelli M, Brusa L, et al. A network centred on the inferior frontal cortex is critically involved in levodopa-induced dyskinesias. Brain. 2015;138:414–27.
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63
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Aron AR, Robbins TW, Poldrack RA. Inhibition and the right inferior frontal cortex: one decade on. Trends Cogn Sci. 2014;18:177–85.
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64
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84897887065
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Resting state functional MRI in Parkinson’s disease: the impact of deep brain stimulation on “effective” connectivity
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PID: 24566670
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Kahan J, Urner M, Moran R, Flandin G, Marreiros A, Mancini L, et al. Resting state functional MRI in Parkinson’s disease: the impact of deep brain stimulation on “effective” connectivity. Brain. 2014;137:1130–44.
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65
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Machine learning on Parkinson’s disease? Let’s translate into clinical practice
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PID: 26743974
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Cerasa A. Machine learning on Parkinson’s disease? Let’s translate into clinical practice. J Neurosci Methods. 2016;266:161–2.
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66
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Magnetic resonance support vector machine discriminates essential tremor with rest tremor from tremor-dominant Parkinson disease
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PID: 24729430
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Cherubini A, Nisticó R, Novellino F, Salsone M, Nigro S, Donzuso G, et al. Magnetic resonance support vector machine discriminates essential tremor with rest tremor from tremor-dominant Parkinson disease. Mov Disord. 2014;29:1216–9.
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67
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Resting-state connectivity predicts levodopa-induced dyskinesias in Parkinson’s disease
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COI: 1:CAS:528:DC%2BC28XmtVeitLc%3D, PID: 26954295, The Siebner’s group demonstrated that resting-state activity might be used for diagnostic and prognostic purposes. Indeed, using machine-learning algorithm, they automatically classified PD patients with and without levodopa-induced dyskinesias (LID) only using information from resting-state fMRI sequence. In particular, the altered connectivity between the putamen with the sensorimotor cortex allowed to perform the best discrimination (specificity 100%; sensitivity 91%) between PD with and without LID. Whereas, modulation of resting-state connectivity between the supplementary motor area and putamen predicted interindividual differences in dyskinesia severity
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Herz DM, Haagensen BN, Nielsen SH, Madsen KH, Løkkegaard A, Siebner HR. Resting-state connectivity predicts levodopa-induced dyskinesias in Parkinson’s disease. Mov Disord. 2016;31:521–9. The Siebner’s group demonstrated that resting-state activity might be used for diagnostic and prognostic purposes. Indeed, using machine-learning algorithm, they automatically classified PD patients with and without levodopa-induced dyskinesias (LID) only using information from resting-state fMRI sequence. In particular, the altered connectivity between the putamen with the sensorimotor cortex allowed to perform the best discrimination (specificity 100%; sensitivity 91%) between PD with and without LID. Whereas, modulation of resting-state connectivity between the supplementary motor area and putamen predicted interindividual differences in dyskinesia severity.
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Herz, D.M.1
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Zhang D, Liu X, Chen J, Liu B. Distinguishing patients with Parkinson’s disease subtypes from normal controls based on functional network regional efficiencies. PLoS One. 2014;9:e115131.
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