Cognitive decline in Parkinson disease
Author information
1KCL-PARCOG group, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, London SE5 8AF, UK
2Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, London SE5 8AF, UK
3University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK
4Neurodegeneration Imaging Group, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 125 Coldharbour Lane, London SE5 9NU, UK
5Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, National Parkinson Foundation Centre of Excellence, King’s College London/Kings College Hospital, 5 Cutcombe Road, London SE5 9RT, UK
6Departments of Psychiatry and Neurology, Perelman School of Medicine at the University of Pennsylvania 3615 Chestnut Street, #330, Philadelphia, Pennsylvania 19104, USA
7Parkinson’s Disease and Mental Illness Research, Education and Clinical Centres (PADRECC and MIRECC), Philadelphia Veterans Affairs Medical Centre 3900 Woodland Avenue, Philadelphia, Pennsylvania 19104, USACorrespondence to D.A. KCL-PARCOG group, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, London SE5 8AF, UK. moc.liamg@dnalsraad
Author contributions
All authors contributed equally to all aspects of manuscript preparation.
Abstract
Dementia is a frequent problem encountered in advanced stages of Parkinson disease (PD). In recent years, research has focused on the pre-dementia stages of cognitive impairment in PD, including mild cognitive impairment (MCI). Several longitudinal studies have shown that MCI is a harbinger of dementia in PD, although the course is variable, and stabilization of cognition — or even reversal to normal cognition — is not uncommon. In addition to limbic and cortical spread of Lewy pathology, several other mechanisms are likely to contribute to cognitive decline in PD, and a variety of biomarker studies, some using novel structural and functional imaging techniques, have documented in vivo brain changes associated with cognitive impairment.
The evidence consistently suggests that low cerebrospinal fluid levels of amyloid-β42, a marker of comorbid Alzheimer disease (AD), predict future cognitive decline and dementia in PD. Emerging genetic evidence indicates that in addition to the APOE*ε4 allele (an established risk factor for AD), GBA mutations and SCNA mutations and triplications are associated with cognitive decline in PD, whereas the findings are mixed for MAPT polymorphisms. Cognitive enhancing medications have some effect in PD dementia, but no convincing evidence that progression from MCI to dementia can be delayed or prevented is available, although cognitive training has shown promising results.
Parkinson disease (PD) is one of the most common age-related brain disorders. PD is defined primarily as a movement disorder, with the typical symptoms being resting tremor, rigidity, bradykinesia and postural instability, and is pathologically characterized by degeneration of nigrostriatal dopaminergic neurons and the presence of Lewy bodies (misfolded α-synuclein) in the surviving neurons. In addition to the defining dopamine-related motor symptoms, however, PD is increasingly recognized as a heterogeneous multisystem disorder involving other neurotransmitter systems, such as the serotonergic, noradrenergic and cholinergic circuits. Thus, a wide variety of nonmotor symptoms (NMS) linked with these neurotransmitters are commonly observed in patients with PD. In light of this variability, subtyping of PD has been proposed, including a system based on time of onset and ongoing rate of cognitive decline1.
Cognitive decline is among the most common and important NMS, and in this article we review the current status of knowledge regarding cognitive impairment in PD. Robust evidence indicates that in comparison with age-matched groups without PD, people with PD exhibit more rapid decline in a number of cognitive domains — in particular, executive, attentional and visuospatial domains, but also memory. The full spectrum of cognitive abilities can be observed in PD, from normal cognition, through early mild subjective and objective decline (mild cognitive impairment (MCI)), to mild, moderate and even severe PD dementia (PDD). Studies from the 1990s onwards convincingly demonstrated a much higher cumulative risk of dementia in people with PD than in the general population, and systematic reviews showed that the point prevalence of dementia was 25–30%. Several long-term longitudinal studies have indicated that the majority of patients with PD will develop dementia if they survive for more than 10 years after diagnosis. On the basis of numerous, varied studies, we now know that dementia in PD has important adverse implications for functioning, quality of life, caregiver burden, and health-related costs2.
The timing, profile and rate of cognitive decline vary widely among individuals with PD, so identifying and predicting future cognitive decline in this population is crucial for researchers and clinicians alike. Identification of clinical and biological markers that can predict which patients are at increased risk of early and rapid cognitive decline is important for communicating the prognosis and managing patients clinically and, thus, is a focus of this article. Established demographic and clinical risk factors include increasing age and more severe parkinsonism, in particular, non-tremor features2. Here, we focus on cognitive and biomarker features as potential predictors of cognitive decline in PD.
Cognitive syndromes in PD
Subjective cognitive decline
In recent years, interest has focused on subjective cognitive decline (SCD), in which cognitive impairments are noted by the patient, family members or health personnel, but cognitive test performance is in the normal range. In the general population, SCD is associated with an increased risk of future cognitive decline, that is, progression to MCI or dementia, including Alzheimer disease (AD). Relatively little is known about SCD in PD, and there are no established criteria for this syndrome. No reliable method of capturing SCD in PD yet exists, possibly owing partly to the confounding effects of motor symptoms and NMS. Nevertheless, SCD has been reported in patients with PD, and might be a harbinger of further cognitive decline in this population3.
MCI and the risk of PD dementia
The two most common cognitive syndromes in patients with PD, PDD and PD-MCI, were operationally defined in diagnostic and assessment guidelines from the International Parkinson and Movement Disorder Society (MDS)4,5. In PDD, but not in PD-MCI, the cognitive deficits are severe enough to impair daily life (for example, social and occupational functioning, and personal care), independently of the impairment ascribable to motor or autonomic symptoms.
Among PD patients without dementia, approximately 25–30% have MCI, which is evident at the time of diagnosis in 10–20% of patients2. Presence of MCI is associated with a shorter time to progression to a dementia diagnosis, although considerable variability is observed, with some patients remaining stable and some even reverting to normal cognition. For example, in one study of patients with early PD6, over 20% of those with MCI reverted to normal cognition after 1 year, although persistent MCI was associated with a much lower remission rate.
Early studies indicated that the mean time to dementia after PD diagnosis was approximately 10 years. This figure is supported by more recent studies, including some that monitored patients from the time of PD diagnosis (TABLE 1), which reported dementia prevalence of 15–20% after 5 years and 46% at 10 years7,8. However, lower dementia rates (5% after 4 years) have been reported elsewhere9. One study that selected only PD patients with normal cognition reported that nearly 50% had developed cognitive decline after 6 years10. Some studies11 suggest that cortical posterior cognitive deficits (that is, memory and language impairment), but not frontally based dysfunction, indicate a higher risk of dementia, leading to the ‘dual syndrome hypothesis’ of cognition in PD12. Discrepancies between studies are likely to be attributable to a variety of factors, including differences in case selection, whether duration was measured from onset of symptoms or diagnosis, use of different criteria for PD-MCI and PDD, and loss to follow-up.
Mechanisms
A variety of mechanisms, in addition to the classic nigrostriatal α-synuclein misfolding and dopaminergic neuronal loss, contribute to the brain changes associated with PD (BOX 1). PD is now recognized to involve multisystem, multipeptide neurodegeneration, with non-dopaminergic degeneration having a crucial role.
Mechanisms of cognitive decline
The following mechanisms are proposed to contribute to cognitive decline in Parkinson disease:
- Protein misfolding (α-synuclein, amyloid and tau)
- Neurotransmitter activity
- Synaptic dysfunction and loss
- Neuroinflammation and diabetes
- Mitochondrial dysfunction and retrograde signalling
- Microglial and astroglial changes
- Genetics
- Epigenetics
- Adenosine receptor activation
- Cerebral network disruption
Compared with the motor symptoms, little is known about the mechanisms underlying cognitive decline in PD, and several key questions remain unresolved. First, is cognitive decline merely a result of more severe and widespread involvement of primary PD neuropathophysiology? Second, are some of the PD-related mechanisms particularly relevant for cognitive decline? Last, is cognitive impairment related to regional involvement or specific mechanisms?
Information on the mechanisms underlying cognitive decline in PD has come from a variety of sources. In addition to postmortem studies, in vivo studies, including clinicopathological studies and biomarker studies involving electrophysiological, imaging, electrophysiology and biofluid analyses, and genetic studies, have all contributed to an increased understanding. However, animal models for PD-related cognitive deficits have been difficult to develop.
Evidence from pathological studies
The pathological contributions to dementia in PD have been studied in some detail, and have been reviewed elsewhere21. Good evidence from postmortem studies indicates that limbic and cortical Lewy body pathology is the main pathological correlate of dementia in PD. In most cases, α-synuclein pathology seems to spread from sites in the lower brainstem or olfactory bulb — or even extracranially from the gut or other areas innervated by the vagus nucleus1 — to the midbrain, forebrain and limbic structures and, finally, neocortical regions22.
Synaptic pathology and cognition
The structural pathologies described above are relevant, but only partially explain the variance in cognitive decline in patients with PD. A better understanding of the disease substrate is needed for targeted drug discovery and to enable better monitoring of disease progression. Changes in synaptic function followed by synaptic loss are likely to be early and key events in neurodegenerative diseases: in AD, loss of synapses was found to be more robustly correlated with cognitive decline than was morphological pathology27. Less is known regarding the role of synaptic dysfunction in cognition in PD, but synaptic alterations have been demonstrated (reviewed elsewhere28).
Neurotransmitters
Convincing evidence is available that mesolimbic and mesocortical dopaminergic activity is associated with cognitive functioning. The association between dopaminergic drugs and cognition is complex, however, and antiparkinson drugs can improve, worsen or have no influence on cognition35. In addition, a number of non-dopaminergic transmitter systems are affected in PD, and are likely to contribute to cognitive impairment21. For example, good evidence from postmortem and imaging studies indicates that the cholinergic system is affected relatively early in PD and contributes to the cognitive decline. Interestingly, whereas Lewy body and amyloid plaque pathologies were associated with earlier onset of dementia, cholinergic deficits were more pronounced in individuals with dementia occurring later in the disease course26,36. These observations provide a rationale for the positive effects of cholinesterase inhibitors in PD (see Management section below), as well as the worsening cognition associated with the use of medications with anticholinergic activity37.
Mitochondrial activity
Mitochondrial dysfunction occurs in PD, but little is known regarding its potential role in cognitive decline. However, mitochondrial pathology seems to contribute to cognitive decline in AD, and a recent postmortem study showed that deficiency in mitochondrial complex 1 activity and reduced mitochondrial DNA levels in the prefrontal cortex were more pronounced in PDD than in PD without dementia42.
Inflammation and neurotrophic factors
Neuroinflammation is relevant for both AD and PD, and might have important implications for cognitive decline in PD44, with a potential for novel treatment targets. Increased microglial activation is thought to lead to cell death in AD and PDD45, and inflammation markers represent possible prognostic biomarkers. Interestingly, CSF levels of cytokines are found to be associated with cognitive impairment in PD46 and, thus, represent possible biomarkers (see below).
Findings from many different sources convincingly demonstrate a link between diabetes, insulin resistance and PD, possibly via mechanisms involving neuro-inflammation and mitochondrial dysfunction47. A recent imaging study in a cohort of 36 patients, 12 of whom had diabetes, reported an association between diabetes, grey matter loss and cognitive impairment in PD48, indicating a possible role for antidiabetic drugs in the treatment or prevention of cognitive decline in PD, as has been suggested in AD.
Neurotrophic factors are crucial for neuronal plasticity and, thus, learning and other cognitive functions. A longitudinal study showed that cognitive impairment in PD was associated with reduced levels of growth factors, such as brain-derived neurotrophic factor and epidermal growth factor, in CSF49 and plasma50.
Summary
In addition to α-synuclein, tau and amyloid pathologies, a number of other mechanisms, including different neurotransmitter systems, early synaptic changes, inflammation, and mitochondrial dysfunction, are likely to contribute to cognitive decline in PD. The roles of these as well as other potentially relevant mechanisms for cognitive impairment, such as the unfolded protein response51, the ubiquitin–proteasome system52, and increased neurogenesis (for example, in response to neurotrophic factors)53, need to be explored further
Neuroimaging
Over the past decade, structural, functional and molecular neuroimaging techniques such as MRI106 and PET107–109 have considerably advanced our understanding of the complex mechanisms underlying the development of cognitive impairment in PD106,109. Two large, ongoing 5-year observational biomarker studies, PPMI and COPPADIS, are using a range of imaging assessments, and are expected to yield important information on the utility of MRI to detect brain pathology in PD patients with cognitive impairment110. In such patients, PET imaging has provided in vivo evidence for the interplay between several pathological processes, including degeneration of subcortical cholinergic and dopaminergic projections, microglial activation, and neocortical pathology associated with misfolded protein deposition or vascular pathology45,107,111. Also, functional polymorphisms in the COMT gene, which influence dopamine storage, might contribute to cognitive deficits in PD112.
MRI measures of cortical and subcortical volume loss
Structural MRI can localize differences in regional cortical and subcortical tissue volume between groups of individuals. In PD patients without a formal diagnosis of PD-MCI or PDD, loss of tissue volume in frontal and parietal cortices has been associated with worse performance in decision-making, facial expression recognition, visual memory and executive function113–115. Studies in patients with PD-MCI have demonstrated a pattern of cortical volume loss in posterior, parietal and frontal cortices, and atrophy in the hippocampus, that correlates with memory deficits116–118. Longitudinal assessments of cortical thickness and subcortical volumes in patients with PD-MCI have indicated progression of cortical thinning in temporal, occipital, parietal and frontal cortices, and further loss of hippocampal volume that is associated with cognitive decline117,119.
Key points
- The full spectrum of cognitive impairment, from subjective cognitive decline to dementia, has been observed in Parkinson disease (PD)
- Mild cognitive impairment in PD usually progresses to dementia, but can be stable and even revert in some patients
- The aetiology of cognitive impairment in PD has not been fully elucidated, but limbic and cortical Lewy body pathology seems to be the main cause
- Amyloid plaque pathology also contributes to cognitive decline in PD, and amyloid pathology detected by cerebrospinal fluid analysis and imaging can predict subsequent dementia
- Other probable mechanisms include genetics, synaptic pathology, neurotransmitter changes and inflammation
- Cholinesterase inhibitors have symptomatic effects, but no disease-modifying treatments are available to reduce the risk of dementia in PD
References
1. Sauerbier A, Jenner P, Todorova A, Chaudhuri KR. Non motor subtypes and Parkinson’s disease. Parkinsonism Relat. Disord. 2016;22(Suppl. 1):S41–S46. [PubMed] [Google Scholar]2. Svenningsson P, Westman E, Ballard C, Aarsland D. Cognitive impairment in patients with Parkinson’s disease: diagnosis, biomarkers, and treatment. Lancet Neurol. 2012;11:697–707. [PubMed] [Google Scholar]3. Erro R, et al. Do subjective memory complaints herald the onset of mild cognitive impairment in Parkinson disease? J. Geriatr. Psychiatry Neurol. 2014;27:276–281. [PubMed] [Google Scholar]4. Emre M, et al. Clinical diagnostic criteria for dementia associated with Parkinson’s disease. Mov. Disord. 2007;22:1689–1707. [PubMed] [Google Scholar]5. Litvan I, et al. Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: Movement Disorder Society Task Force guidelines. Mov. Disord. 2012;27:349–356. [PMC free article] [PubMed] [Google Scholar]6. Pedersen KF, Larsen JP, Tysnes OB, Alves G. Prognosis of mild cognitive impairment in early Parkinson disease: the Norwegian ParkWest study. JAMA Neurol. 2013;70:580–586. [PubMed] [Google Scholar]7. Williams-Gray CH, et al. The distinct cognitive syndromes of Parkinson’s disease: 5 year follow-up of the CamPaIGN cohort. Brain. 2009;132:2958–2969. [PubMed] [Google Scholar]8. Williams-Gray CH, et al. The CamPaIGN study of Parkinson’s disease: 10-year outlook in an incident population-based cohort. J. Neurol. Neurosurg. Psychiatry. 2013;84:1258–1264. [PubMed] [Google Scholar]9. Santangelo G, et al. Mild cognitive impairment in newly diagnosed Parkinson’s disease: a longitudinal prospective study. Parkinsonism Relat. Disord. 2015;21:1219–1226. [PubMed] [Google Scholar]10. Pigott K, et al. Longitudinal study of normal cognition in Parkinson disease. Neurology. 2015;85:1276–1282. [PMC free article] [PubMed] [Google Scholar]11. Williams-Gray CH, Hampshire A, Robbins TW, Owen AM, Barker RA. Catechol O-methyltransferase Val1 58 Met genotype influences frontoparietal activity during planning in patients with Parkinson’s disease. J. Neurosci. 2007;27:4832–4838. [PMC free article] [PubMed] [Google Scholar]12. Kehagia AA, Barker RA, Robbins TW. Cognitive impairment in Parkinson’s disease: the dual syndrome hypothesis. Neurodegener. Dis. 2013;11:79–92. [PMC free article] [PubMed] [Google Scholar]13. Wood K-L, et al. Different PD-MCI criteria and risk of dementia in Parkinson’s disease: 4-year longitudinal study. NPJ Parkinsons Dis. 2016;2:15027. [PMC free article] [PubMed] [Google Scholar]14. Chahine LM, et al. Cognition in individuals at risk for Parkinson’s: Parkinson associated risk syndrome (PARS) study findings. Mov. Disord. 2016;31:86–94. [PMC free article] [PubMed] [Google Scholar]15. Postuma RB, et al. MDS clinical diagnostic criteria for Parkinson’s disease. Mov. Disord. 2015;30:1591–1601. [PubMed] [Google Scholar]16. Marras C, Chaudhuri KR. Nonmotor features of Parkinson’s disease subtypes. Mov. Disord. 2016;31:1095–1102. [PubMed] [Google Scholar]17. Chaudhuri KR, Sauerbier A. Parkinson disease: unravelling the nonmotor mysteries of Parkinson disease. Nat. Rev. Neurol. 2016;12:10–11. [PubMed] [Google Scholar]18. Aarsland D, Andersen K, Larsen JP, Lolk A, Kragh-Sorensen P. Prevalence and characteristics of dementia in Parkinson disease: an 8-year prospective study. Arch. Neurol. 2003;60:387–392. [PubMed] [Google Scholar]19. Anang JB, et al. Predictors of dementia in Parkinson disease: a prospective cohort study. Neurology. 2014;83:1253–1260. [PMC free article] [PubMed] [Google Scholar]20. ffytche DH, et al. Risk factors for early psychosis in PD: insights from the Parkinson’s Progression Markers Initiative. J. Neurol. Neurosurg. Psychiatry. (in press) [PMC free article] [PubMed] [Google Scholar]21. Halliday GM, Leverenz JB, Schneider JS, Adler CH. The neurobiological basis of cognitive impairment in Parkinson’s disease. Mov. Disord. 2014;29:634–650. [PMC free article] [PubMed] [Google Scholar]22. Braak H, et al. Staging of brain pathology related to sporadic Parkinson’s disease. Neurobiol. Aging. 2003;24:197–211. [PubMed] [Google Scholar]23. Compta Y, et al. Lewy- and Alzheimer-type pathologies in Parkinson’s disease dementia: which is more important? Brain. 2011;134:1493–1505. [PMC free article] [PubMed] [Google Scholar]24. Howlett DR, et al. Regional multiple pathology scores are associated with cognitive decline in Lewy body dementias. Brain Pathol. 2015;25:401–408. [PubMed] [Google Scholar]25. Irwin DJ, Lee VM, Trojanowski JQ. Parkinson’s disease dementia: convergence of α-synuclein, tau and amyloid-β pathologies. Nat. Rev. Neurosci. 2013;14:626–636. [PMC free article] [PubMed] [Google Scholar]26. Ballard C, et al. Differences in neuropathologic characteristics across the Lewy body dementia spectrum. Neurology. 2006;67:1931–1934. [PubMed] [Google Scholar]27. Terry RD, et al. Physical basis of cognitive alterations in Alzheimer’s disease: synapse loss is the major correlate of cognitive impairment. Ann. Neurol. 1991;30:572–580. [PubMed] [Google Scholar]28. Pienaar IS, Burn D, Morris C, Dexter D. Synaptic protein alterations in Parkinson’s disease. Mol. Neurobiol. 2012;45:126–143. [PubMed] [Google Scholar]29. Bellucci A, et al. Review: Parkinson’s disease: from synaptic loss to connectome dysfunction. Neuropathol. Appl. Neurobiol. 2016;42:77–94. [PubMed] [Google Scholar]30. Schulz-Schaeffer WJ. The synaptic pathology of α-synuclein aggregation in dementia with Lewy bodies, Parkinson’s disease and Parkinson’s disease dementia. Acta Neuropathol. 2010;120:131–143. [PMC free article] [PubMed] [Google Scholar]31. Whitfield DR, et al. Assessment of ZnT3 and PSD95 protein levels in Lewy body dementias and Alzheimer’s disease: association with cognitive impairment. Neurobiol. Aging. 2014;35:2836–2844. [PubMed] [Google Scholar]32. Bereczki E, et al. Synaptic proteins predict cognitive decline in Alzheimer’s disease and Lewy body dementia. Alzheimers Dement. 2016;12:1149–1158. [PubMed] [Google Scholar]33. Wellington H, et al. Increased CSF neurogranin concentration is specific to Alzheimer disease. Neurology. 2016;86:829–835. [PMC free article] [PubMed] [Google Scholar]34. Bereczki E, et al. Synaptic proteins in CSF relate to Parkinson`s disease stage markers. NPJ Parkinsons Dis. 2017;3:7. [PMC free article] [PubMed] [Google Scholar]35. Kulisevsky J. Role of dopamine in learning and memory: implications for the treatment of cognitive dysfunction in patients with Parkinson’s disease. Drugs Aging. 2000;16:365–379. [PubMed] [Google Scholar]36. Shimada H, et al. Mapping of brain acetylcholinesterase alterations in Lewy body disease by PET. Neurology. 2009;73:273–278. [PubMed] [Google Scholar]37. Ehrt U, Broich K, Larsen JP, Ballard C, Aarsland D. Use of drugs with anticholinergic effect and impact on cognition in Parkinson’s disease: a cohort study. J. Neurol. Neurosurg. Psychiatry. 2010;81:160–165. [PubMed] [Google Scholar]38. Ye Z, et al. Predicting beneficial effects of atomoxetine and citalopram on response inhibition in Parkinson’s disease with clinical and neuroimaging measures. Hum. Brain Mapp. 2016;37:1026–1037. [PMC free article] [PubMed] [Google Scholar]39. Varrone A, et al. 5-HT1B receptor imaging and cognition: a positron emission tomography study in control subjects and Parkinson’s disease patients. Synapse. 2015;69:365–374. [PubMed] [Google Scholar]40. Vorovenci RJ, Antonini A. The efficacy of oral adenosine A2A antagonist istradefylline for the treatment of moderate to severe Parkinson’s disease. Expert Rev. Neurother. 2015;15:1383–1390. [PubMed] [Google Scholar]41. Ko WK, et al. An evaluation of istradefylline treatment on Parkinsonian motor and cognitive deficits in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridi ne (MPTP)-treated macaque models. Neuropharmacology. 2016;110:48–58. [PubMed] [Google Scholar]42. Gatt AP, et al. Dementia in Parkinson’s disease is associated with enhanced mitochondrial complex I deficiency. Mov. Disord. 2016;31:352–359. [PubMed] [Google Scholar]43. Cagin U, et al. Mitochondrial retrograde signaling regulates neuronal function. Proc. Natl Acad. Sci. USA. 2015;112:E6000–E6009. [PMC free article] [PubMed] [Google Scholar]44. Rocha NP, et al. Plasma levels of soluble tumor necrosis factor receptors are associated with cognitive performance in Parkinson’s disease. Mov. Disord. 2014;29:527–531. [PubMed] [Google Scholar]45. Fan Z, et al. Influence of microglial activation on neuronal function in Alzheimer’s and Parkinson’s disease dementia. Alzheimers Dement. 2015;11:608–621. e7. [PubMed] [Google Scholar]46. Lindqvist D, et al. Cerebrospinal fluid inflammatory markers in Parkinson’s disease — associations with depression, fatigue, and cognitive impairment. Brain Behav. Immun. 2013;33:183–189. [PubMed] [Google Scholar]47. Aviles-Olmos I, Limousin P, Lees A, Foltynie T. Parkinson’s disease, insulin resistance and novel agents of neuroprotection. Brain. 2013;136:374–384. [PubMed] [Google Scholar]48. Petrou M, et al. Diabetes, gray matter loss, and cognition in the setting of Parkinson disease. Acad. Radiol. 2016;23:577–581. [PMC free article] [PubMed] [Google Scholar]49. Leverenz JB, et al. Cerebrospinal fluid biomarkers and cognitive performance in non-demented patients with Parkinson’s disease. Parkinsonism Relat. Disord. 2011;17:61–64. [PMC free article] [PubMed] [Google Scholar]50. Lim NS, et al. Plasma EGF and cognitive decline in Parkinson’s disease and Alzheimer’s disease. Ann. Clin. Transl. Neurol. 2016;3:346–355. [PMC free article] [PubMed] [Google Scholar]51. Baek JH, et al. Unfolded protein response is activated in Lewy body dementias. Neuropathol. Appl. Neurobiol. 2015;42:352–365. [PubMed] [Google Scholar]52. Bajic N, Jenner P, Ballard CG, Francis PT. Proteasome inhibition leads to early loss of synaptic proteins in neuronal culture. J. Neural Transm. (Vienna) 2012;119:1467–1476. [PubMed] [Google Scholar]53. Paul G, et al. Safety and tolerability of intracerebroventricular PDGF-BB in Parkinson’s disease patients. J. Clin. Invest. 2015;125:1339–1346. [PMC free article] [PubMed] [Google Scholar]54. Collins LM, Williams-Gray CH. The genetic basis of cognitive impairment and dementia in Parkinson’s disease. Front. Psychiatry. 2016;7:89. [PMC free article] [PubMed] [Google Scholar]55. Healy DG, et al. Phenotype, genotype, and worldwide genetic penetrance of LRRK2-associated Parkinson’s disease: a case-control study. Lancet Neurol. 2008;7:583–590. [PMC free article] [PubMed] [Google Scholar]56. Srivatsal S, et al. Cognitive profile of LRRK2-related Parkinson’s disease. Mov. Disord. 2015;30:728–733. [PMC free article] [PubMed] [Google Scholar]57. Shanker V, et al. Mood and cognition in leucine-rich repeat kinase 2 G2019S Parkinson’s disease. Mov. Disord. 2011;26:1875–1880. [PMC free article] [PubMed] [Google Scholar]58. Ben Sassi S, et al. Cognitive dysfunction in Tunisian LRRK2 associated Parkinson’s disease. Parkinsonism Relat. Disord. 2012;18:243–246. [PubMed] [Google Scholar]59. Belarbi S, et al. LRRK2 G2019S mutation in Parkinson’s disease: a neuropsychological and neuropsychiatric study in a large Algerian cohort. Parkinsonism Relat. Disord. 2010;16:676–679. [PubMed] [Google Scholar]60. Nichols WC, et al. Genetic screening for a single common LRRK2 mutation in familial Parkinson’s disease. Lancet. 2005;365:410–412. [PubMed] [Google Scholar]61. Goldwurm S, et al. LRRK2 G2019S mutation and Parkinson’s disease: a clinical, neuropsychological and neuropsychiatric study in a large Italian sample. Parkinsonism Relat. Disord. 2006;12:410–419. [PubMed] [Google Scholar]62. Alcalay RN, et al. Self-report of cognitive impairment and mini-mental state examination performance in PRKN, LRRK2, and GBA carriers with early onset Parkinson’s disease. J. Clin. Exp. Neuropsychol. 2010;32:775–779. [PMC free article] [PubMed] [Google Scholar]63. Aasly JO, et al. Clinical features of LRRK2-associated Parkinson’s disease in central Norway. Ann. Neurol. 2005;57:762–765. [PubMed] [Google Scholar]64. Chartier-Harlin MC, et al. α-Synuclein locus duplication as a cause of familial Parkinson’s disease. Lancet. 2004;364:1167–1169. [PubMed] [Google Scholar]65. Somme JH, et al. Initial neuropsychological impairments in patients with the E46K mutation of the α-synuclein gene (PARK 1) J. Neurol. Sci. 2011;310:86–89. [PubMed] [Google Scholar]66. Seidel K, et al. First appraisal of brain pathology owing to A30P mutant alpha-synuclein. Ann. Neurol. 2010;67:684–689. [PubMed] [Google Scholar]67. Puschmann A, et al. A Swedish family with de novoα-synuclein A53T mutation: evidence for early cortical dysfunction. Parkinsonism Relat. Disord. 2009;15:627–632. [PMC free article] [PubMed] [Google Scholar]68. Mata IFAPOE, et al. MAPT, and SNCA genes and cognitive performance in Parkinson disease. JAMA Neurol. 2014;71:1405–1412. [PMC free article] [PubMed] [Google Scholar]69. Guella I, et al. α-Synuclein genetic variability: a biomarker for dementia in Parkinson disease. Ann. Neurol. 2016;79:991–999. [PubMed] [Google Scholar]70. Alcalay RN, et al. Cognitive performance of GBA mutation carriers with earlyonset PD: the CORE-PD study. Neurology. 2012;78:1434–1440. [PMC free article] [PubMed] [Google Scholar]71. Setó-Salvia N, et al. Glucocerebrosidase mutations confer a greater risk of dementia during Parkinson’s disease course. Mov. Disord. 2012;27:393–399. [PubMed] [Google Scholar]72. Winder-Rhodes SE, et al. Glucocerebrosidase mutations influence the natural history of Parkinson’s disease in a community-based incident cohort. Brain. 2013;136:392–399. [PubMed] [Google Scholar]73. Chahine LM, et al. Clinical and biochemical differences in patients having Parkinson disease with versus without GBA mutations. JAMA Neurol. 2013;70:852–858. [PMC free article] [PubMed] [Google Scholar]74. Oeda T, et al. Impact of glucocerebrosidase mutations on motor and nonmotor complications in Parkinson’s disease. Neurobiol. Aging. 2015;36:3306–3313. [PubMed] [Google Scholar]75. Mata IF, et al. GBA variants are associated with a distinct pattern of cognitive deficits in Parkinson’s disease. Mov. Disord. 2016;31:95–102. [PMC free article] [PubMed] [Google Scholar]76. Liu G, et al. Specifically neuropathic Gaucher’s mutations accelerate cognitive decline in Parkinson’s. Ann. Neurol. 2016;80:674–685. [PMC free article] [PubMed] [Google Scholar]77. Cilia R, et al. Survival and dementia in GBA-associated Parkinson’s disease: the mutation matters. Ann. Neurol. 2016;80:662–673. [PubMed] [Google Scholar]78. Williams-Gray CH, et al. Apolipoprotein E genotype as a risk factor for susceptibility to and dementia in Parkinson’s disease. J. Neurol. 2009;256:493–498. [PubMed] [Google Scholar]79. Morley JF, et al. Genetic influences on cognitive decline in Parkinson’s disease. Mov. Disord. 2012;27:512–518. [PMC free article] [PubMed] [Google Scholar]80. Paul KCAPOE, et al. MAPT, and COMT and Parkinson’s disease susceptibility and cognitive symptom progression. J. Parkinsons Dis. 2016;6:349–359. [PMC free article] [PubMed] [Google Scholar]81. Mengel D, et al. Apolipoprotein E ε4 does not affect cognitive performance in patients with Parkinson’s disease. Parkinsonism Relat. Disord. 2016;29:112–116. [PubMed] [Google Scholar]82. Federoff M, Jimenez-Rolando B, Nalls MA, Singleton AB. A large study reveals no association between APOE and Parkinson’s disease. Neurobiol. Dis. 2012;46:389–392. [PMC free article] [PubMed] [Google Scholar]83. Desikan RS, et al. Genetic overlap between Alzheimer’s disease and Parkinson’s disease at the MAPT locus. Mol. Psychiatry. 2015;20:1588–1595. [PMC free article] [PubMed] [Google Scholar]84. Nombela C, et al. Genetic impact on cognition and brain function in newly diagnosed Parkinson’s disease: ICICLE-PD study. Brain. 2014;137:2743–2758. [PMC free article] [PubMed] [Google Scholar]85. Winder-Rhodes SE, et al. Association between MAPT haplotype and memory function in patients with Parkinson’s disease and healthy aging individuals. Neurobiol. Aging. 2015;36:1519–1528. [PMC free article] [PubMed] [Google Scholar]86. Chung SJ, et al. Genomic determinants of motor and cognitive outcomes in Parkinson’s disease. Parkinsonism Relat. Disord. 2012;18:881–886. [PMC free article] [PubMed] [Google Scholar]87. Andreassen OA, et al. Genetic pleiotropy between multiple sclerosis and schizophrenia but not bipolar disorder: differential involvement of immune-related gene loci. Mol. Psychiatry. 2015;20:207–214. [PMC free article] [PubMed] [Google Scholar]88. Mollenhauer B, et al. Biological confounders for the values of cerebrospinal fluid proteins in Parkinson’s disease and related disorders. J. Neurochem. 2016;139(Suppl. 1):290–317. [PubMed] [Google Scholar]89. Lin CH, Wu RM. Biomarkers of cognitive decline in Parkinson’s disease. Parkinsonism Relat. Disord. 2015;21:431–443. [PubMed] [Google Scholar]90. Skogseth RE, et al. Associations between cerebrospinal fluid biomarkers and cognition in early untreated Parkinson’s disease. J. Parkinsons Dis. 2015;5:783–792. [PMC free article] [PubMed] [Google Scholar]91. Stav AL, et al. Amyloid-β and α-synuclein cerebrospinal fluid biomarkers and cognition in early Parkinson’s disease. Parkinsonism Relat. Disord. 2015;21:758–764. [PubMed] [Google Scholar]92. Backstrom DC, et al. Cerebrospinal fluid patterns and the risk of future dementia in early, incident Parkinson disease. JAMA Neurol. 2015;72:1175–1182. [PubMed] [Google Scholar]93. Hall S, et al. CSF biomarkers and clinical progression of Parkinson disease. Neurology. 2015;84:57–63. [PMC free article] [PubMed] [Google Scholar]94. Alves G, et al. CSF Aβ42 predicts early-onset dementia in Parkinson disease. Neurology. 2014;82:1784–1790. [PubMed] [Google Scholar]95. Terrelonge M, Marder KS, Weintraub D, Alcalay RN. CSF β-amyloid 1–42 predicts progression to cognitive impairment in newly diagnosed Parkinson disease. J. Mol. Neurosci. 2016;58:88–92. [PMC free article] [PubMed] [Google Scholar]96. Siderowf A, et al. CSF amyloid β 1–42 predicts cognitive decline in Parkinson disease. Neurology. 2010;75:1055–1061. [PMC free article] [PubMed] [Google Scholar]97. Compta Y, et al. Combined dementia-risk biomarkers in Parkinson’s disease: a prospective longitudinal study. Parkinsonism Relat. Disord. 2013;19:717–724. [PubMed] [Google Scholar]98. Parnetti L, et al. Differential role of CSF alpha-synuclein species, tau, and Aβ42 in Parkinson’s disease. Front. Aging Neurosci. 2014;6:53. [PMC free article] [PubMed] [Google Scholar]99. Mollenhauer B, et al. Monitoring of 30 marker candidates in early Parkinson disease as progression markers. Neurology. 2016;87:168–177. [PMC free article] [PubMed] [Google Scholar]100. Zhou B, Wen M, Yu W-F, Zhang C-L, Jiao L. The diagnostic and differential diagnosis utility of cerebrospinal fluid α-synuclein levels in Parkinson’s disease: a meta-analysis. Parkinsons Dis. 2015;2015:567386. [PMC free article] [PubMed] [Google Scholar]101. Stewart T, et al. Cerebrospinal fluid α-synuclein predicts cognitive decline in Parkinson disease progression in the DATATOP cohort. Am. J. Pathol. 2014;184:966–975. [PMC free article] [PubMed] [Google Scholar]102. Hall S, et al. Longitudinal measurements of cerebrospinal fluid biomarkers in Parkinson’s disease. Mov. Disord. 2016;31:898–905. [PMC free article] [PubMed] [Google Scholar]103. Ohrfelt A, et al. Identification of novel α-synuclein isoforms in human brain tissue by using an online nanoLC-ESI-FTICR-MS method. Neurochem. Res. 2011;36:2029–2042. [PMC free article] [PubMed] [Google Scholar]104. Hansson O, et al. Levels of cerebrospinal fluid α-synuclein oligomers are increased in Parkinson’s disease with dementia and dementia with Lewy bodies compared to Alzheimer’s disease. Alzheimers Res. Ther. 2014;6:25. [PMC free article] [PubMed] [Google Scholar]105. Simonsen AH, et al. The utility of α-synuclein as biofluid marker in neurodegenerative diseases: a systematic review of the literature. Biomark. Med. 2016;10:19–34. [PubMed] [Google Scholar]106. Rocchi L, Niccolini F, Politis M. Recent imaging advances in neurology. J. Neurol. 2015;262:2182–2194. [PubMed] [Google Scholar]107. Niccolini F, Su P, Politis M. Dopamine receptor mapping with PET imaging in Parkinson’s disease. J. Neurol. 2014;261:2251–2263. [PubMed] [Google Scholar]108. Loane C, Politis M. Positron emission tomography neuroimaging in Parkinson’s disease. Am. J. Transl Res. 2011;3:323–341. [PMC free article] [PubMed] [Google Scholar]109. Politis M. Neuroimaging in Parkinson disease: from research setting to clinical practice. Nat. Rev. Neurol. 2014;10:708–722. [PubMed] [Google Scholar]110. Santos-Garcia D, et al. COPPADIS-2015 (COhort of Patients with PArkinson’s DIsease in Spain, 2015), a global — clinical evaluations, serum biomarkers, genetic studies and neuroimaging prospective, multicenter, non-interventional, long-term study on Parkinson’s disease progression. BMC Neurol. 2016;16:26. [PMC free article] [PubMed] [Google Scholar]111. Politis M, Su P, Piccini P. Imaging of microglia in patients with neurodegenerative disorders. Front. Pharmacol. 2012;3:96. [PMC free article] [PubMed] [Google Scholar]112. Wu K, et al. The catechol-O-methyltransferase Val158Met polymorphism modulates fronto-cortical dopamine turnover in early Parkinson’s disease: a PET study. Brain. 2012;135:2449–2457. [PubMed] [Google Scholar]113. Ibarretxe-Bilbao N, et al. Neuroanatomical correlates of impaired decision-making and facial emotion recognition in early Parkinson’s disease. Eur. J. Neurosci. 2009;30:1162–1171. [PubMed] [Google Scholar]114. Ellfolk U, et al. Brain volumetric correlates of memory in early Parkinson’s disease. J. Parkinsons Dis. 2013;3:593–601. [PubMed] [Google Scholar]115. Duncan GW, et al. Gray and white matter imaging: a biomarker for cognitive impairment in early Parkinson’s disease? Mov. Disord. 2016;31:103–110. [PubMed] [Google Scholar]116. Yildiz D, et al. Impaired cognitive performance and hippocampal atrophy in Parkinson disease. Turk. J. Med. Sci. 2015;45:1173–1177. [PubMed] [Google Scholar]117. Mak E, et al. Baseline and longitudinal grey matter changes in newly diagnosed Parkinson’s disease: ICICLE-PD study. Brain. 2015;138:2974–2986. [PMC free article] [PubMed] [Google Scholar]118. Pereira JB, et al. Aberrant cerebral network topology and mild cognitive impairment in early Parkinson’s disease. Hum. Brain Mapp. 2015;36:2980–2995. [PMC free article] [PubMed] [Google Scholar]119. Hanganu A, et al. Mild cognitive impairment is linked with faster rate of cortical thinning in patients with Parkinson’s disease longitudinally. Brain. 2014;137:1120–1129. [PubMed] [Google Scholar]120. Kandiah N, et al. Hippocampal volume and white matter disease in the prediction of dementia in Parkinson’s disease. Parkinsonism Relat. Disord. 2014;20:1203–1208. [PubMed] [Google Scholar]121. Lee JE, et al. Exploratory analysis of neuropsychological and neuroanatomical correlates of progressive mild cognitive impairment in Parkinson’s disease. J. Neurol. Neurosurg. Psychiatry. 2014;85:7–16. [PubMed] [Google Scholar]122. Rektorova I, et al. Grey matter changes in cognitively impaired Parkinson’s disease patients. PLoS ONE. 2014;9:e85595. [PMC free article] [PubMed] [Google Scholar]123. Hwang KS, et al. Mapping cortical atrophy in Parkinson’s disease patients with dementia. J. Parkinsons Dis. 2013;3:69–76. [PMC free article] [PubMed] [Google Scholar]124. Zarei M, et al. Cortical thinning is associated with disease stages and dementia in Parkinson’s disease. J. Neurol. Neurosurg. Psychiatry. 2013;84:875–881. [PMC free article] [PubMed] [Google Scholar]125. Pagonabarraga J, et al. Pattern of regional cortical thinning associated with cognitive deterioration in Parkinson’s disease. PLoS ONE. 2013;8:e54980. [PMC free article] [PubMed] [Google Scholar]126. Borroni B, et al. Structural and functional imaging study in dementia with Lewy bodies and Parkinson’s disease dementia. Parkinsonism Relat. Disord. 2015;21:1049–1055. [PubMed] [Google Scholar]127. Carlesimo GA, et al. Hippocampal abnormalities and memory deficits in Parkinson disease: a multimodal imaging study. Neurology. 2012;78:1939–1945. [PubMed] [Google Scholar]128. Agosta F, et al. Mild cognitive impairment in Parkinson’s disease is associated with a distributed pattern of brain white matter damage. Hum. Brain Mapp. 2014;35:1921–1929. [PMC free article] [PubMed] [Google Scholar]129. Chen B, Fan GG, Liu H, Wang S. Changes in anatomical and functional connectivity of Parkinson’s disease patients according to cognitive status. Eur. J. Radiol. 2015;84:1318–1324. [PubMed] [Google Scholar]130. Olde Dubbelink KT, et al. Functional connectivity and cognitive decline over 3 years in Parkinson disease. Neurology. 2014;83:2046–2053. [PubMed] [Google Scholar]131. Seibert TM, Murphy EA, Kaestner EJ, Brewer JB. Interregional correlations in Parkinson disease and Parkinson-related dementia with resting functional MR imaging. Radiology. 2012;263:226–234. [PMC free article] [PubMed] [Google Scholar]132. 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;10:232–237. [PubMed] [Google Scholar]133. Lin WC, et al. Dopaminergic therapy modulates cortical perfusion in Parkinson disease with and without dementia according to arterial spin labeled perfusion magnetic resonance imaging. Medicine (Baltimore) 2016;95:e2206. [PMC free article] [PubMed] [Google Scholar]134. Le Heron CJ, et al. Comparing cerebral perfusion in Alzheimer’s disease and Parkinson’s disease dementia: an ASL-MRI study. J. Cereb. Blood Flow Metab. 2014;34:964–970. [PMC free article] [PubMed] [Google Scholar]135. Ito K, et al. Striatal and extrastriatal dysfunction in Parkinson’s disease with dementia: a 6-[18F]fluoro-L-dopa PET study. Brain. 2002;125:1358–1365. [PubMed] [Google Scholar]136. Klein JC, et al. Neurotransmitter changes in dementia with Lewy bodies and Parkinson disease dementia in vivo. Neurology. 2010;74:885–892. [PubMed] [Google Scholar]137. Marquie M, et al. Striatal and extrastriatal dopamine transporter levels relate to cognition in Lewy body diseases: an 11C altropane positron emission tomography study. Alzheimers Res. Ther. 2014;6:52. [PMC free article] [PubMed] [Google Scholar]138. Song IU, Kim YD, Cho HJ, Chung SW, Chung YA. An FP-CIT PET comparison of the differences in dopaminergic neuronal loss between idiopathic Parkinson disease with dementia and without dementia. Alzheimer Dis. Assoc. Disord. 2013;27:51–55. [PubMed] [Google Scholar]139. Vander Borght T, et al. Cerebral metabolic differences in Parkinson’s and Alzheimer’s diseases matched for dementia severity. J. Nucl. Med. 1997;38:797–802. [PubMed] [Google Scholar]140. Gonzalez-Redondo R, et al. Grey matter hypometabolism and atrophy in Parkinson’s disease with cognitive impairment: a two-step process. Brain. 2014;137:2356–2367. [PMC free article] [PubMed] [Google Scholar]141. Pappata S, et al. Mild cognitive impairment in drug-naive patients with PD is associated with cerebral hypometabolism. Neurology. 2011;77:1357–1362. [PubMed] [Google Scholar]142. Minoshima S, et al. Alzheimer’s disease versus dementia with Lewy bodies: cerebral metabolic distinction with autopsy confirmation. Ann. Neurol. 2001;50:358–365. [PubMed] [Google Scholar]143. Huang C, et al. Changes in network activity with the progression of Parkinson’s disease. Brain. 2007;130:1834–1846. [PMC free article] [PubMed] [Google Scholar]144. Yong SW, Yoon JK, An YS, Lee PH. A comparison of cerebral glucose metabolism in Parkinson’s disease, Parkinson’s disease dementia and dementia with Lewy bodies. Eur. J. Neurol. 2007;14:1357–1362. [PubMed] [Google Scholar]145. Roy R, Niccolini F, Pagano G, Politis M. Cholinergic imaging in dementia spectrum disorders. Eur. J. Nucl. Med. Mol. Imaging. 2016;43:1376–1386. [PMC free article] [PubMed] [Google Scholar]146. Shinotoh H, et al. Positron emission tomographic measurement of acetylcholinesterase activity reveals differential loss of ascending cholinergic systems in Parkinson’s disease and progressive supranuclear palsy. Ann. Neurol. 1999;46:62–69. [PubMed] [Google Scholar]147. Hilker R, et al. Dementia in Parkinson disease: functional imaging of cholinergic and dopaminergic pathways. Neurology. 2005;65:1716–1722. [PubMed] [Google Scholar]148. Bohnen NI, et al. Cortical cholinergic function is more severely affected in parkinsonian dementia than in Alzheimer disease: an in vivo positron emission tomographic study. Arch. Neurol. 2003;60:1745–1748. [PubMed] [Google Scholar]149. Hiraoka K, et al. Cholinergic deficit and response to donepezil therapy in Parkinson’s disease with dementia. Eur. Neurol. 2012;68:137–143. [PubMed] [Google Scholar]150. Kotagal V, Muller ML, Kaufer DI, Koeppe RA, Bohnen NI. Thalamic cholinergic innervation is spared in Alzheimer disease compared to parkinsonian disorders. Neurosci. Lett. 2012;514:169–172. [PMC free article] [PubMed] [Google Scholar]151. Bohnen NI, et al. Heterogeneity of cholinergic denervation in Parkinson’s disease without dementia. J. Cereb. Blood Flow Metab. 2012;32:1609–1617. [PMC free article] [PubMed] [Google Scholar]152. Edison P, et al. Amyloid load in Parkinson’s disease dementia and Lewy body dementia measured with [11C]PIB positron emission tomography. J. Neurol. Neurosurg. Psychiatry. 2008;79:1331–1338. [PubMed] [Google Scholar]153. Petrou M, et al. Aβ-amyloid deposition in patients with Parkinson disease at risk for development of dementia. Neurology. 2012;79:1161–1167. [PMC free article] [PubMed] [Google Scholar]154. Maetzler W, et al. [11C]PIB binding in Parkinson’s disease dementia. Neuroimage. 2008;39:1027–1033. [PubMed] [Google Scholar]155. Petrou M, et al. Amyloid deposition in Parkinson’s disease and cognitive impairment: a systematic review. Mov. Disord. 2015;30:928–935. [PMC free article] [PubMed] [Google Scholar]156. Akhtar RS, et al. Amyloid-beta positron emission tomography imaging of Alzheimer’s pathology in Parkinson’s disease dementia. Mov. Disord. Clin. Pract. 2016;3:367–375. [PMC free article] [PubMed] [Google Scholar]157. Shah N, et al. Striatal and cortical β-amyloidopathy and cognition in Parkinson’s disease. Mov. Disord. 2016;31:111–117. [PMC free article] [PubMed] [Google Scholar]158. Gomperts SN, et al. Amyloid is linked to cognitive decline in patients with Parkinson disease without dementia. Neurology. 2013;80:85–91. [PMC free article] [PubMed] [Google Scholar]159. Gomperts SN, et al. Tau positron emission tomographic imaging in the Lewy body diseases. JAMA Neurol. 2016;73:1334–1341. [PMC free article] [PubMed] [Google Scholar]160. Kamei S, Morita A, Serizawa K, Mizutani T, Hirayanagi K. Quantitative EEG analysis of executive dysfunction in Parkinson disease. J. Clin. Neurophysiol. 2010;27:193–197. [PubMed] [Google Scholar]161. Morita A, Kamei S, Mizutani T. Relationship between slowing of the EEG and cognitive impairment in Parkinson disease. J. Clin. Neurophysiol. 2011;28:384–387. [PubMed] [Google Scholar]162. Caviness JN, et al. Longitudinal EEG changes correlate with cognitive measure deterioration in Parkinson’s disease. J. Parkinsons Dis. 2015;5:117–124. [PubMed] [Google Scholar]163. Zimmermann R, et al. Correlation of EEG slowing with cognitive domains in nondemented patients with Parkinson’s disease. Dement. Geriatr. Cogn. Disord. 2015;39:207–214. [PubMed] [Google Scholar]164. Schlede N, et al. Clinical EEG in cognitively impaired patients with Parkinson’s disease. J. Neurol. Sci. 2011;310:75–78. [PubMed] [Google Scholar]165. Fonseca LC, Tedrus GM, Carvas PN, Machado EC. Comparison of quantitative EEG between patients with Alzheimer’s disease and those with Parkinson’s disease dementia. Clin. Neurophysiol. 2013;124:1970–1974. [PubMed] [Google Scholar]166. Klassen BT, et al. Quantitative EEG as a predictive biomarker for Parkinson disease dementia. Neurology. 2011;77:118–124. [PMC free article] [PubMed] [Google Scholar]167. Seer C, Lange F, Georgiev D, Jahanshahi M, Kopp B. Event-related potentials and cognition in Parkinson’s disease: an integrative review. Neurosci. Biobehav. Rev. 2016;71:691–714. [PubMed] [Google Scholar]168. Zhang D, et al. Multimodal classification of Alzheimer’s disease and mild cognitive impairment. Neuroimage. 2011;55:856–867. [PMC free article] [PubMed] [Google Scholar]169. Compta Y, et al. Grey matter volume correlates of cerebrospinal markers of Alzheimer-pathology in Parkinson’s disease and related dementia Parkinsonism Relat. Disord. 2012;18:941–947. [PubMed] [Google Scholar]170. Beyer MK, et al. Cerebrospinal fluid Aβ levels correlate with structural brain changes in Parkinson’s disease. Mov. Disord. 2013;28:302–310. [PMC free article] [PubMed] [Google Scholar]171. Chiaravalloti A, et al. Do CSF levels of t-Tau, p-Tau and β1–42 amyloid correlate with dopaminergic system impairment in patients with a clinical diagnosis of Parkinson disease? A 123I-FP-CIT study in the early stages of the disease. Eur. J. Nucl. Med. Mol. Imaging. 2014;41:2137–2143. [PubMed] [Google Scholar]172. van Dijk KD, et al. Reduced α-synuclein levels in cerebrospinal fluid in Parkinson’s disease are unrelated to clinical and imaging measures of disease severity. Eur. J. Neurol. 2014;21:388–394. [PubMed] [Google Scholar]173. Campbell MC, et al. CSF proteins and resting-state functional connectivity in Parkinson disease. Neurology. 2015;84:2413–2421. [PMC free article] [PubMed] [Google Scholar]174. Wang HF, et al. Efficacy and safety of cholinesterase inhibitors and memantine in cognitive impairment in Parkinson’s disease, Parkinson’s disease dementia, and dementia with Lewy bodies: systematic review with meta-analysis and trial sequential analysis. J. Neurol. Neurosurg. Psychiatry. 2015;86:135–143. [PubMed] [Google Scholar]175. Emre M, et al. Rivastigmine for dementia associated with Parkinson’s disease. N. Engl. J. Med. 2004;351:2509–2518. [PubMed] [Google Scholar]176. Dubois B, et al. Donepezil in Parkinson’s disease dementia: a randomized, double-blind efficacy and safety study. Mov. Disord. 2012;27:1230–1238. [PubMed] [Google Scholar]177. Aarsland D, et al. Memantine in patients with Parkinson’s disease dementia or dementia with Lewy bodies: a double-blind, placebo-controlled, multicentre trial. Lancet Neurol. 2009;8:613–618. [PubMed] [Google Scholar]178. Emre M, et al. Memantine for patients with Parkinson’s disease dementia or dementia with Lewy bodies: a randomised, double-blind, placebo-controlled trial. Lancet Neurol. 2010;9:969–977. [PubMed] [Google Scholar]179. Colloby SJ, et al. Cholinergic and perfusion brain networks in Parkinson disease dementia. Neurology. 2016;87:178–185. [PMC free article] [PubMed] [Google Scholar]180. Jurado-Coronel JC, et al. Implication of green tea as a possible therapeutic approach for Parkinson disease. CNS Neurol. Disord. Drug Targets. 2016;15:292–300. [PubMed] [Google Scholar]181. Postuma RB, et al. Caffeine for treatment of Parkinson disease: a randomized controlled trial. Neurology. 2012;79:651–658. [PMC free article] [PubMed] [Google Scholar]182. Mamikonyan E, Xie SX, Melvin E, Weintraub D. Rivastigmine for mild cognitive impairment in Parkinson disease: a placebo-controlled study. Mov. Disord. 2015;30:912–918. [PubMed] [Google Scholar]183. Weintraub D, et al. Rasagiline for mild cognitive impairment in Parkinson’s disease: a placebo-controlled trial. Mov. Disord. 2016;31:709–714. [PubMed] [Google Scholar]184. Weintraub D, et al. Atomoxetine for depression and other neuropsychiatric symptoms in Parkinson disease. Neurology. 2010;75:448–455. [PMC free article] [PubMed] [Google Scholar]185. Kehagia AA, et al. Targeting impulsivity in Parkinson’s disease using atomoxetine. Brain. 2014;137:1986–1997. [PMC free article] [PubMed] [Google Scholar]186. Katona C, Hansen T, Olsen CK. A randomized, double-blind, placebo-controlled, duloxetine-referenced, fixed-dose study comparing the efficacy and safety of Lu AA21004 in elderly patients with major depressive disorder. Int. Clin. Psychopharmacol. 2012;27:215–223. [PubMed] [Google Scholar]187. Valera E, Spencer B, Masliah E. Immunotherapeutic approaches targeting amyloid-β, α-synuclein, and tau for the treatment of neurodegenerative disorders. Neurotherapeutics. 2016;13:179–189. [PMC free article] [PubMed] [Google Scholar]188. Killick R, et al. Clusterin regulates β-amyloid toxicity via Dickkopf-1-driven induction of the wnt-PCP-JNK pathway. Mol. Psychiatry. 2014;19:88–98. [PMC free article] [PubMed] [Google Scholar]189. Himeno E, et al. Apomorphine treatment in Alzheimer mice promoting amyloid-β degradation. Ann. Neurol. 2011;69:248–256. [PubMed] [Google Scholar]190. Yarnall AJ, et al. Apomorphine: a potential modifier of amyloid deposition in Parkinson’s disease? Mov. Disord. 2016;31:668–675. [PubMed] [Google Scholar]191. Martinez-Martin P, et al. EuroInf: a multicenter comparative observational study of apomorphine and levodopa infusion in Parkinson’s disease. Mov. Disord. 2015;30:510–516. [PubMed] [Google Scholar]192. Leung IH, et al. Cognitive training in Parkinson disease: a systematic review and meta-analysis. Neurology. 2015;85:1843–1851. [PMC free article] [PubMed] [Google Scholar]193. Reynolds GO, Otto MW, Ellis TD, Cronin-Golomb A. The therapeutic potential of exercise to improve mood, cognition, and sleep in Parkinson’s disease. Mov. Disord. 2016;31:23–38. [PMC free article] [PubMed] [Google Scholar]194. David FJ, et al. Exercise improves cognition in Parkinson’s disease: the PRET-PD randomized, clinical trial. Mov. Disord. 2015;30:1657–1663. [PMC free article] [PubMed] [Google Scholar]195. Klingelhoefer L, Samuel M, Chaudhuri KR, Ashkan K. An update of the impact of deep brain stimulation on non motor symptoms in Parkinson’s disease. J. Parkinsons Dis. 2014;4:289–300. [PubMed] [Google Scholar]196. Kuhn J, et al. Deep brain stimulation of the nucleus basalis of Meynert in Alzheimer’s dementia. Mol. Psychiatry. 2015;20:353–360. [PubMed] [Google Scholar]197. Gratwicke J, et al. The nucleus basalis of Meynert: a new target for deep brain stimulation in dementia? Neurosci. Biobehav. Rev. 2013;37:2676–2688. [PubMed] [Google Scholar]198. Seto-Salvia N, et al. Dementia risk in Parkinson disease: disentangling the role of MAPT haplotypes. Arch. Neurol. 2011;68:359–364. [PubMed] [Google Scholar]199. Goris A, et al. Tau and α-synuclein in susceptibility to, and dementia in, Parkinson’s disease. Ann. Neurol. 2007;62:145–153. [PubMed] [Google Scholar]200. Kurz MW, et al. APOE alleles in Parkinson disease and their relationship to cognitive decline: a population-based, longitudinal study. J. Geriatr. Psychiatry Neurol. 2009;22:166–170. [PubMed] [Google Scholar]201. Marras C, et al. Motor and nonmotor heterogeneity of LRRK2-related and idiopathic Parkinson’s disease. Mov. Disord. 2016;31:1192–1202. [PubMed] [Google Scholar]202. Thaler A, et al. Lower cognitive performance in healthy G2019S LRRK2 mutation carriers. Neurology. 2012;79:1027–1032. [PMC free article] [PubMed] [Google Scholar]203. Farrer M, et al. Comparison of kindreds with parkinsonism and α-synuclein genomic multiplications. Ann. Neurol. 2004;55:174–179. [PubMed] [Google Scholar]204. Foltynie T, et al. Planning ability in Parkinson’s disease is influenced by the COMT val158met polymorphism. Mov. Disord. 2004;19:885–891. [PubMed] [Google Scholar]205. Williams-Gray CH, Hampshire A, Barker RA, Owen AM. Attentional control in Parkinson’s disease is dependent on COMT val158met genotype. Brain. 2008;131:397–408. [PubMed] [Google Scholar]206. Svetel M, et al. No association between brain-derived neurotrophic factor G196A polymorphism and clinical features of Parkinson’s disease. Eur. Neurol. 2013;70:257–262. [PubMed] [Google Scholar]207. Gao L, et al. Brain-derived neurotrophic factor G196A polymorphism and clinical features in Parkinson’s disease. Acta Neurol. Scand. 2010;122:41–45. [PubMed] [Google Scholar]208. Białecka M, et al. BDNF G196A (Val66Met) polymorphism associated with cognitive impairment in Parkinson’s disease. Neurosci. Lett. 2014;561:86–90. [PubMed] [Google Scholar]209. Arias-Vasquez A, et al. Relationship of the Ubiquilin 1 gene with Alzheimer’s and Parkinson’s disease and cognitive function. Neurosci. Lett. 2007;424:1–5. [PubMed] [Google Scholar]210. Kurz MW, et al. FMR1 alleles in Parkinson’s disease: relation to cognitive decline and hallucinations, a longitudinal study. J. Geriatr. Psychiatry Neurol. 2007;20:89–92. [PubMed] [Google Scholar]211. Nie K, et al. Polymorphisms in immune/inflammatory cytokine genes are related to Parkinson’s disease with cognitive impairment in the Han Chinese population. Neurosci. Lett. 2013;541:111–115. [PubMed] [Google Scholar]212. Liu Z, et al. Lack of association between IL-10 and IL-18 gene promoter polymorphisms and Parkinson’s disease with cognitive impairment in a Chinese population. Sci. Rep. 2016;6:19021. [PMC free article] [PubMed] [Google Scholar]213. Broeders M, et al. Evolution of mild cognitive impairment in Parkinson disease. Neurology. 2013;81:346–352. [PubMed] [Google Scholar]214. Domellof ME, Ekman U, Forsgren L, Elgh E. Cognitive function in the early phase of Parkinson’s disease, a five-year follow-up. Acta Neurol. Scand. 2015;132:79–88. [PubMed] [Google Scholar]215. Hely MA, Reid WG, Adena MA, Halliday GM, Morris JG. The Sydney multicenter study of Parkinson’s disease: the inevitability of dementia at 20 years. Mov. Disord. 2008;23:837–844. [PubMed] [Google Scholar]