Cognitive Impairment in Genetic Parkinson’s Disease

Planas-Ballvé, A.; Vilas, D.

doi:https://doi.org/10.1155/2021/8610285

Parkinson’s Disease

On this page

Abstract Introduction Conclusions Conflicts of Interest References Copyright Related Articles

Review Article | Open Access

Volume 2021 | Article ID 8610285 | https://doi.org/10.1155/2021/8610285

Cognitive Impairment in Genetic Parkinson’s Disease

A. Planas-Ballvé¹and D. Vilas²

Academic Editor: Antonio Pisani

Received27 May 2021

Accepted08 Dec 2021

Published30 Dec 2021

Abstract

Cognitive impairment is common in idiopathic Parkinson’s disease (PD). Knowledge of the contribution of genetics to cognition in PD is increasing in the last decades. Monogenic forms of genetic PD show distinct cognitive profiles and rate of cognitive decline progression. Cognitive impairment is higher in GBA- and SNCA-associated PD, lower in Parkin- and PINK1-PD, and possibly milder in LRRK2-PD. In this review, we summarize data regarding cognitive function on clinical studies, neuroimaging, and biological markers of cognitive decline in autosomal dominant PD linked to mutations in LRRK2 and SNCA, autosomal recessive PD linked to Parkin and PINK1, and also PD linked to GBA mutations.

1. Introduction

Cognitive impairment is common in Parkinson’s disease (PD). Approximately 20–33% of patients have mild cognitive impairment (MCI) at the time of diagnosis [1, 2], and up to 80% of patients develop dementia during the course of the disease [3, 4]. Some factors clearly related to cognitive impairment in PD are older age and longer disease duration [5, 6]. Cognitive domains that are usually impaired are attention and visuospatial function, although memory may also be affected [5, 7]. However, there is an important cognitive heterogeneity between patients, especially in the rate of cognitive decline [8]. Some of this variability is thought to be related to extrinsic factors and comorbidities, but genetics may also play an important role. A recent systematic review highlighted the role of the genetic risk factors for cognitive decline in PD, with an especial focus on some genetic forms of the disease [9]. Along with pathogenic mutations, genetic variants in at least 3 genes, apolipoprotein E (APOE), microtubule-associated protein tau (MAPT), and α-synuclein (SNCA), might play a role in determining susceptibility to cognitive impairment in PD [10]. Postmortem studies have revealed that cortical and limbic α-synuclein pathology is the hallmark of PD dementia. However, coexistent pathology such as amyloid plaques, tau-related pathology, and vascular lesions may coexist and contribute to cognitive decline in PD [11, 12].

Although most cases of PD are sporadic, up to 10% of PD patients have family history suggesting an important genetic contribution [13]. The genetic basis of PD is complex and includes monogenic forms of PD and genetic risk factors. Autosomal dominant PD is linked to mutations in the SNCA, leucine-rich repeat kinase 2 (LRRK2), and vacuolar sorting protein 35 (VPS35) genes. Common genes causing autosomal recessive PD include Parkin, PTEN-induced putative kinase 1 (PINK1), and DJ-1. More recently, some genetic risk factors for PD have been recognized, such as mutations in the glucocerebrosidase (GBA) gene [14].

We aimed to review the literature on cognitive impairment of the most common forms of genetic PD. We focus on clinical studies about cognitive function in genetic PD and summarize findings on neuroimaging and biological biomarkers of cognitive decline in each genetic form of the disease.

2. Autosomal Dominant Inheritance

2.1. Leucine-Rich Repeat Kinase (LRRK2)-Associated PD (LRRK2-PD) (PARK8)

Mutations in the LRRK2 gene are the most common cause of autosomal dominant PD, accounting for approximately 5% of familial and 1% of sporadic PD [15]. However, some populations have a higher incidence, such as 20% in the case of PD patients of Ashkenazi Jewish ancestry [16] and 40% of North African Berber Arab PD patients [17]. Although 132 mutations have been reported in the LRRK2 gene, only seven have been proven to be pathogenic. These include p.G2019S, p.R1441C/G/H, p.N1437H, p.Y1699C, p.S1761R, p.I2012T, and p.I2020T mutations, being p.G2019S the most frequent worldwide [15, 18]. LRRK2-PD is clinically similar to idiopathic PD (IPD), although some differences have been reported, such as less hyposmia, good response to L-DOPA, late age at onset, and absence of atypical signs [15, 19–21].

Cognitive decline has been reported in approximately 23% of LRRK2-PD patients in a recent systematic review [21]. Several cross-sectional studies have compared the cognitive profile of LRRK2-PD patients with IPD patients (Table 1). In most of them, the tests performed to assess the cognitive state were short screening tests such as the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA), finding no differences between LRRK2-PD and IPD patients [23–25, 31, 33]. More detailed studies, which included a detailed neuropsychological assessment, have shown inconsistent results. Some have shown a better cognitive performance among LRRK2-PD patients compared with IPD. Srivatsal et al. found that LRRK2-PD p.G2019S and p.R144G carriers performed better than IPD patients on working memory tests [28]. Somme et al. observed that LRRK2-PD p.R1441G carriers had a better performance than IPD in the Mattis Dementia Rating Scale (MDRS) and also in episodic verbal memory tests [29]. Finally, Alcalay and colleagues reported that LRRK2-PD p.G2019S carriers performed better than IPD on attention and language tests [30]. The neuropathological findings in LRRK2-PD patients could explain, at least partly, the better cognitive profile in LRRK2-PD compared with IPD, since a significant proportion of LRRK2-PD patients do not show the presence of abnormal aggregates of α-synuclein; e.g., Lewy bodies (LB) and clinicopathological correlations have shown that the presence of LB is associated with cognitive impairment and dementia [34, 35]. However, other studies have shown no differences in cognition between LRRK2-PD and IPD [22, 26, 27]. In a recent systematic review, the analysis of the data reported in the literature suggested that LRRK2-associated disease may have a milder cognitive phenotype than IPD [9]. However, more recent studies do not support this conclusion. A prospective study of a large cohort of PD patients of Ashkenazi Jewish descent, both with and without the p.G2019S LRRK2 mutation, assessed changes in cognition along time using the MoCA test. Although there was a trend toward better scores among LRRK2-PD patients, statistically significant differences were not found [32]. Importantly, the heterogeneity of the patient’s cohorts assessed, including several mutations, the different ages, a high heterogeneity in the cognitive tests performed, and some ethnic and cultural aspects, probably influences the wide variety of results obtained.

Cognition was also investigated in asymptomatic LRRK2 mutation carriers, a population at risk of developing PD. Two studies have compared the cognitive function between healthy relatives of Ashkenazi PD patients carrying the p.G2019S mutation in the LRRK2 gene and healthy relative noncarriers of the LRRK2 mutation. While Thaler et al. found a poorer performance on executive function tests among asymptomatic LRRK2 p.G2019S carriers [36], Mirelman et al. did not observe statistically significant differences among groups [37]. Other studies in asymptomatic LRRK2 carriers did not show differences in other non-motor symptoms [38]; however, the study of the prodromal phase in LRRK2-PD is still ongoing.

To summarize, available data regarding the cognitive profile of LRRK2-PD patients include several cross-sectional studies but only one longitudinal study. Overall, these studies have shown a trend toward milder cognitive performance in LRRK2-PD compared with IPD. Longitudinal studies with homogenous ethnic group, large sample sizes, and comprehensive neuropsychological battery comparing cognitive outcomes between LRRK2-PD and IPD are needed to confirm these findings.

2.2. α-Synuclein (SNCA)-Associated PD (PARKIN1)

Mutations in the SNCA gene, which encodes α-synuclein protein, were the first discovered genetic cause of familial PD [39]. However, the frequency of SNCA mutations as a cause of familial PD is very low, accounting for approximately 2% of autosomal dominant cases [13]. To date, there are 7 missense mutations (p.A30P, p.E46K, p.H50Q, p.G51D, p.A53E, p.A53T, and p.A53V) and gene multiplications (duplications and triplications) reported to cause familiar PD [40, 41]. Also, the p.A18T and p.A29S substitutions were described, but their role as pathogenic has not been probed yet [42]. The clinical phenotype varies according to the mutations. Overall, SNCA-PD is associated with an earlier age of disease onset, faster motor progression, early occurrence of motor fluctuations, and prominent non-motor features, compared with IPD [43]. Patients with SNCA triplications, compared to those with duplications, have an earlier disease onset, a more rapidly progressive course, and are more often associated with dementia and dysautonomia [44].

The majority of SNCA-PD patients described have cognitive impairment and dementia with psychiatric symptoms such as delusions and visual hallucinations [45–50]. Systematic reviews have shown that the prevalence of dementia varies according to the type of SNCA mutation: 39% in p.A53T, 80% in p.H50Q, 50% in p.A30P, 80% in p.E46K, 50–70% of duplication in the SNCA carriers, and 88–100% of triplication in the SNCA gene reported [21, 43]. In the last systematic review, no differences in the frequency of cognitive decline were observed between the different mutations [21]. The occurrence of cognitive decline varies according to the mutation, but has been described early in the majority of cases, between 2 and 10 years from the onset of the motor symptoms [43]. According to the gene dosage effect, differences in the age at onset of dementia were observed between patients with SNCA duplications and triplications, with 57 ± 11 years for duplication carriers and 39 ± 4 years for triplication carriers [40, 43].

Although the profile of the cognitive impairment in SNCA-PD is not well characterized, some studies included a neuropsychological assessment, reported language and speech impairment [46, 50], and a decreased performance in visuospatial construction and executive function tasks [51, 52] among patients carrying the p.A53T mutation, which is the most common missense mutation. In addition, a few p.A53T SNCA mutation carriers and SNCA duplication carriers have been described with a rapid cognitive decline predominantly affecting executive and frontal/subcortical functions [53, 55]. The clinical severity of the disease seems to correlate with the SNCA copy number in SNCA multiplications, with PD patients who carry triplications having a more severe disease progression and worse cognitive deficit than those with duplications [44].

The neuropathological features of SNCA-PD patients are similar to those with IPD, with abnormal aggregates of pathological α-synuclein, e.g., LB, in the brainstem and cerebral cortex. Cortical neuronal loss particularly in the hippocampal formation has also been observed and some cases with tau inclusions and TAR DNA-binding protein 43 (TDP-43) pathology [50, 56]. The cortical involvement seen in the autopsies may explain clinical dementia in the majority of patients.

In conclusion, cognitive decline is common among SNCA mutation carriers, being those patients with triplications of SNCA gene the most affected. However, since SNCA-PD is uncommon, data comparing cognitive function between SNCA-PD and IPD are scarce, and only a few studies include a complete neuropsychological assessment.

3. Autosomal Recessive Inheritance

3.1. Parkin-Associated PD (PARK2)

Parkin gene encodes the parkin protein, a ubiquitin E3 ligase involved in the proteasome degradation pathway [57]. Mutations in the Parkin gene are the most common cause of autosomal recessive early-onset PD (EOPD), being present in approximately 15.5% of familial and 4.3% of sporadic cases EOPD cases [58]. The clinical phenotype of Parkin-PD is a predominantly early-onset parkinsonism, starting in the third decade of life, with a frequent symmetrical involvement, limb dystonia at onset, slow disease progression, and greater incidence of levodopa-induced dyskinesias compared with IPD [59–61]. Several pathogenic mutations have been reported, including missense and nonsense mutations, but also copy number mutations (deletions and duplications). Mutations have been described in the homozygous, compound heterozygous, and heterozygous states, but the role of heterozygous mutations remains controversial [62, 63].

Parkin-PD has previously been defined as cognitively benign, and only a few cross-sectional studies have evaluated the cognitive profile in patients with this genetic form of PD (Table 2). Studies in which the MMSE or MoCA test was applied found a similar cognitive profile between Parkin-PD and IPD patients [33, 61, 64]. However, the MMSE is likely not enough sensitive to detect subtle cognitive changes in a younger, nondemented group. Three cross-sectional studies included a neuropsychological evaluation. Lohmann et al. found a similar cognitive performance among Parkin-PD and IPD patients [65], results similar to those found by Caccappolo et al. [66]. In contrast, another study with Parkin-EOPD patients, with longer disease duration, found that Parkin-EOPD performed better in tests of attention, memory, and visuospatial cognitive domains [67]. This relative cognitive preservation might be explained by the neuropathological findings observed in Parkin-PD, with neuronal loss in the substantia nigra without LB pathology in the majority of cases, or with LB limited to brainstem areas [56].

In summary, studies suggest that cognitive function in Parkin-PD is at least similar or even better than IPD. A more in-depth neurocognitive evaluation in younger patients and a longitudinal follow-up study are required to confirm the suspected slower disease cognitive progression in these patients. There are no data on imaging or biological cognitive biomarkers in Parkin-PD.

3.2. Phosphatase and Tensin Homolog-Induced Putative Kinase 1 (PINK1)-Associated PD

PINK1 mutations are the second most common cause of autosomal recessive EOPD, accounting for 1–8% of familial PD and less than 1% of sporadic EOPD [68, 69]. The clinical phenotype is similar to Parkin-PD, characterized by early-onset parkinsonism, slow disease progression, and good response to levodopa and dystonia [70, 71]. In addition, psychiatric features such as anxiety and depression are common [72].

Since PINK1-PD is rare, cognition has never been extensively investigated and there are no data comparing cognitive function between PINK1-PD and IPD. Some PINK1-PD cases reported in the literature have a mild cognitive impairment [73–75], but in a recent systematic review of genetic autosomal recessive PD patients, cognitive decline was reported in 14% of PINK1-PD patients [59], suggesting a low rate of cognitive decline among the patients with this genetic form of PD. The neuropathological data in PINK1-PD are very limited. There is only one brain autopsy described in the literature that had LB pathology in the reticular nuclei of the brainstem, substantia nigra, and Meynert nucleus, and absence of tau or TDP-43 inclusions [76].

In conclusion, data regarding cognitive function in PINK1-PD is scarce, overall suggesting that cognitive decline is rare in this genetic form of PD. The multicenter longitudinal follow-up studies are needed for a better characterization of cognition in these patients.

4. Risk Factors for PD

4.1. Glucocerebrosidase (GBA)-Associated PD

GBA gene encodes the lysosomal enzyme glucocerebrosidase, implicated in the metabolism of glucosylceramide. Pathogenic mutations in both alleles of GBA cause the recessive lysosomal storage disorder Gaucher’s disease, and heterozygous GBA mutations are the most common genetic risk factor for PD and dementia with Lewy bodies (DLB) [77, 78]. A multicenter study identified GBA mutations in 3% of PD patients and found that GBA mutations increase the risk of PD by approximately fivefold [78].

The clinical phenotype of GBA-PD seems to be different from IPD, with an earlier age at onset, significant association with akinetic rigid onset, and more severe non-motor symptoms including cognitive changes [78–81]. The frequency of cognitive decline or dementia is significantly higher in GBA-PD compared with IPD (48% vs 24–31%, approximately) [82–85]. Setó-Salvia et al. found that the individual risk of dementia in GBA-PD is increased sixfold compared with IPD. Furthermore, in a retrospective review, dementia and psychosis developed significantly earlier in GBA-PD compared with IPD [86]. Recently, an Italian study has shown that different types of GBA mutations underlie distinct phenotypic profiles, demonstrating that severe and complex GBA-PD mutations have a higher risk and earlier occurrence of hallucinations and cognitive impairment compared with mild GBA mutations [81]. The neuropathological studies from GBA-PD patients revealed a widespread LB pathology, involving both brainstem and cortical areas, which could explain the cognitive impairment in these patients. Moreover, coexistent Alzheimer’s disease pathology has also been reported [56, 87].

Several studies have tried to characterize the cognitive profile in GBA-PD patients (Table 3). In those studies, in which a cognitive screening test was used to assess the cognitive function in these patients results were conflicting. While most of them found no significant differences among GBA-PD and IPD patients [64, 88, 89, 92, 94], others observed a worse performance in GBA-PD [79, 82]. Some of these conflicting results could be explained, at least partly, by methodological issues. For example, in the study of Malek et al. patients included were at early stages of the disease (average disease duration 1.5 years) and patients with dementia were excluded [92]. However, other studies include GBA-PD patients regardless of their cognitive state. Also, the way to characterize the cognitive profile varies among studies. Only two studies in GBA-PD used a complete neuropsychological battery [82, 90]. In both, GBA-PD performed worse than noncarriers in different cognitive domains, such as nonverbal memory and visuospatial domains [82], executive function, working memory, and visuospatial domains [90]. Two longitudinal prospective studies with a small sample size showed inconsistent results regarding progression to dementia among GBA-PD compared with IPD [89, 91]. It is also possible that the different GBA mutations play a different role in the cognitive impairment in GBA-PD patients. In line with this hypothesis, Cilia et al. showed that the risk of dementia is modulated by the type of mutation in GBA carriers, with a higher risk of dementia in subjects with severe mutations (p.L444P, p.G377S, IVS10+1G > T) compared with mild mutations (p.N370S) [95]. In addition, one of the largest PD genome-wide association studies (GWAS) that includes longitudinal data from multiple cohorts showed that GBA variant p.E326K was associated with the rate of cognitive decline (2.37-fold higher odds of having cognitive impairment at baseline and 2.78-fold higher hazard ratio of developing cognitive impairment during follow-up) [96].

Data regarding cognition in asymptomatic GBA carriers are scarce. Some cross-sectional studies have found a worse performance on MoCA test among asymptomatic GBA carriers compared with controls [88], while others found no significant differences between these two groups of subjects [97, 98]. Regarding longitudinal prospective studies, Mullin et al. found evidence of deteriorating cognition among asymptomatic GBA carriers using the MoCA test over 4–5 years [99], while Avenali et al. found no differences over 6 years and suggested that this could be attributable to a training effect as participants repeated the same test multiple times [100].

In conclusion, GBA-PD is associated with more severe cognitive impairment, in particular greater impairment in executive and visuospatial domains, and, possibly, a more rapid disease progression. Long-term larger follow-up studies are required to determine the progression over time of cognitive decline in these patients.

5. Biological Markers of Cognitive Decline in Genetic PD

Biomarkers that reflect the pathological processes underlying cognitive dysfunction in PD are still under investigation. The neuropathology underlying dementia in IPD is not well established: several studies demonstrate an association between the presence of cortical Lewy pathology and cognitive decline in PD, but multiple comorbid pathologies can occur in patients with PD and cognitive decline, including cerebrovascular disease, argyrophilic grain disease, hippocampal sclerosis, and Alzheimer's disease (AD) pathology. Significant efforts to identify biomarkers that reflect the presence of proteinopathy and neurodegeneration related to cognitive decline in IPD have been made [34]. Alpha-synuclein levels in CSF were demonstrated to be lower in PD compared with controls but do not seem to differentiate between patients with or without dementia [101]. The results from studies investigating CSF levels of total tau or phosphorylated tau as an indicator of cognitive dysfunction in PD have been inconsistent. However, several studies examining beta-amyloid have found that lower CSF levels of beta-amyloid 1–42 (Ab42), the major component of amyloid-b plaques, are associated with worse cognition and that CSF Ab42 levels may predict cognitive decline in PD (in et al, 2015).

In genetic PD, the neuropathological correlates of cognitive decline and the development of biomarkers of cognitive decline are still scarcely investigated. CSF biomarkers of cognitive decline have been rarely assessed in LRRK2-PD. α-synuclein levels in CSF in LRRK2-PD have been recently explored showing higher levels in LRRK2-PD compared with IPD, but their correlation with cognitive decline has not been explored [100–102]. Studies measuring CSF levels of amyloid-beta (Ab1-42), total Tau (t-Tau) and phosphorylated Tau (p-Tau) in LRRK2-PD, and asymptomatic LRRK2 carriers and IPD patients showed no differences between groups [105, 106] Mov Disord 2016, although their correlation with cognitive decline in this form of genetic PD has been not investigated yet. Since most cases of LRRK2-PD have the classic neuropathology of PD but a significant subset lacks Lewy pathology, we could hypothesize that the levels of AD biomarkers are normal in this genetic form of PD. However, interestingly, cognitive impairment and dementia are correlated with the presence of Lewy pathology in LRRK2-PD [35].

In contrast to LRRK2-PD, SNCA-PD and GBA-PD can often have prominent cognitive dysfunction and cortical Lewy pathology. There are only a few cases of SNCA-PD described in the literature with CSF examination. Two patients with PD and dementia, carriers of a duplication in the SNCA gene, showed low levels of α-synuclein in the CSF [107]. Seven patients with the mutation p.A53T in the SNCA gene (five PD patients and two asymptomatic carriers) had normal t-Tau and p-Tau CSF levels and marginally decreased Ab1-42 levels in 2 out of the 5 symptomatic carriers [53], not related to the cognitive decline. Until now, just a few studies tried to investigate biomarkers of cognitive decline in CSF of GBA-PD patients. Although lower levels of Ab1-42 were reported in GBA-PD, compared with healthy controls [106], these results were not lately replicated [108]. Recently, it has been suggested that the effects of GBA mutations on CSF α-synuclein profiles and phenotypical characteristics seem dependent on GBA mutation severity, since PD patients carrying severe GBA mutations showed more pronounced cognitive decline and reduced CSF levels of total α-synuclein in the CSF [109].

6. Functional Imaging Markers of Cognitive Decline in Genetic PD

Several brain imaging modalities have been explored to identify measures of brain dysfunction that could serve as biomarkers of cognitive impairment in IPD. Reductions in cortical glucose metabolism were correlated with performance on neuropsychological tests, and reductions in parietal lobe metabolism were associated with the risk of cognitive decline in newly diagnosed PD patients [110]. Other functional imaging approaches such as resting-state functional MRI showed that cognitive decline in PD seems to be associated with disruption of corticostriatal and frontal cortex functional connectivity.

A few studies trying to explore imaging markers of cognitive decline in genetic PD patients were performed. Functional neuroimaging techniques to evaluate cerebral metabolic abnormalities related to cognitive decline have been sparsely investigated in LRRK2-PD. De Rosa et al. found a less severe posterior cortical hypometabolism in LRRK2-PD compared with IPD, although the cognitive profile was similar between both groups [111]. Abnormalities in functional connectivity were observed in LRRK2-PD patients and also in asymptomatic LRRK2 carriers [103, 112–116], but the relationship between functional connectivity changes and cognitive performance in LRRK2-PD is still unclear.

Some patients with SNCA-PD and dementia were evaluated by means of single-photon emission computed tomography (SPECT). The patients with SNCA duplications showed hypoperfusion of the frontotemporal and occipital lobes [117, 118], whereas a frontoparietal lobe hypoperfusion was observed in patients with p.A53T and p.G51D mutations [49, 51]. However, the significance of these hypoperfusion patterns and its role as a marker of cognitive decline is not known yet. Regarding GBA-PD, there is only one study, which assessed cerebral perfusion, by means of SPECT, compared with IPD and DLB [95]. GBA-PD and DLB patients had a similar cerebral perfusion pattern, with a significant hypoperfusion in posterior parietal and occipital regions compared with IPD.

Future studies in prospective cohorts of patients, using neuroimaging techniques and CSF biomarkers, are needed to characterize the cognitive decline in genetic PD and to elucidate the role of CSF biomarkers to assess cognitive decline in this specific disease.

7. Conclusions

The different forms of genetic PD present variable proportions of cognitive involvement. In autosomal dominant forms of PD, SNCA-PD is most frequently associated with cognitive impairment, with certain mutations clearly increasing the risk of early dementia, such as SNCA triplications and the p.E46 K mutation. Among LRRK2-PD patients, the frequency of cognitive impairment is similar or lower than that observed in IPD. Recessive forms of familial PD, including Parkin-PD and PINK1-PD, are generally characterized by a lower frequency of cognitive impairment. The risk factors for PD such as GBA gene mutations have shown an increased risk of dementia. The variable neuropathological findings in the genetic forms of PD could explain, at least partly, the different cognitive involvements in each form of genetic PD. Also, the coexistence of AD pathology and other neurodegenerative disorders might contribute to the cognitive decline. Future prospective large-scale studies in patients with genetic PD, as well as high-risk susceptibility loci for PD, are needed to better characterize genetic contributions for cognitive decline in PD. The ongoing development in the field of biological and imaging biomarkers of cognitive decline could help to identify those patients with genetic PD in a higher risk of developing a cognitive decline.

Conflicts of Interest

The authors declare that there are no conflicts of interest regarding the publication of this study.

References

R. A. Lawson, A. J. Yarnall, and G. W. Duncan, “Stability of mild cognitive impairment in newly diagnosed Parkinson’s disease,” Journal of Neurology Neurosurgery and Psychiatry, vol. 88, pp. 648–652, 2017.
View at: Publisher Site | Google Scholar
G. Santangelo, C. Vitale, and M. Picillo, “Mild cognitive impairment in newly diagnosed Parkinson’s disease: a longitudinal prospective study,” Parkinsonism & Related Disorders, vol. 21, no. 10, pp. 1219–1226, 2015.
View at: Publisher Site | Google Scholar
D. Aarsland, K. Andersen, and J. P. Larsen, “Prevalence and characteristics of dementia in Parkinson disease: an 8 year prospective study,” Archives of Neurology, vol. 60, no. 3, pp. 387–397, 2003.
View at: Publisher Site | Google Scholar
M. A. Hely, W. G. Reid, and M. A. Adena, “The Sidney multicenter study of Parkinson’s disease: the inevitability of dementia at 20 years,” Movement Disorders, vol. 23, no. 6, pp. 837–844, 2008.
View at: Publisher Site | Google Scholar
D. Aarsland, K. Bronnick, and C. Williams-Gray, “Mild cognitive impairment in Parkinson disease: a multicenter pooled analysis,” Neurology, vol. 75, no. 12, pp. 1062–1069, 2010.
View at: Publisher Site | Google Scholar
T. A. Hughes, H. F. Ross, and S. Musa, “A 10-year study of the incidence of and factors predicting dementia in Parkinson’s disease,” Neurology, vol. 54, no. 8, pp. 1596–1602, 2000.
View at: Publisher Site | Google Scholar
A. A. Kehagia, R. A. Barker, and T. W. Robins, “Neuropsychological and clinical heterogeneity of cognitive impairment and dementia in patients with Parkinson’s disease,” The Lancet Neurology, vol. 9, no. 12, pp. 1200–1213, 2010.
View at: Publisher Site | Google Scholar
D. Aarsland, K. Andersen, and J. P. Larsen, “The rate of cognitive decline in Parkinson’s disease,” Archives of Neurology, vol. 61, no. 12, pp. 1906–1911, 2004.
View at: Publisher Site | Google Scholar
E. Fagan and L. Pihlstrom, “Genetic risk factors for cognitive decline in Parkinson’s disease: a review of the literature,” European Journal of Neurology, vol. 24, pp. 1–13, 2017.
View at: Publisher Site | Google Scholar
I. F. Mata, J. B. Leverenz, and D. Weintraub, “APOE, MAPT, and SNCA genes and cognitive performance in Parkinson disease,” JAMA Neurology, vol. 71, no. 11, pp. 1405–1412, 2014.
View at: Publisher Site | Google Scholar
D. J. Irwin, M. T. White, and J. B. Toledo, “Neuropathologic substrates of Parkinson’s disease dementia,” Annals of Neurology, vol. 72, no. 4, pp. 587–598, 2012.
View at: Publisher Site | Google Scholar
C. Smith, N. Malek, and K. Grosset, “Neuropathology of dementia in patients with Parkinson’s disease: a systematic review of autopsy studies,” Journal of Neurology Neurosurgery and Psychiatry, vol. 90, no. 11, pp. 1234–1243, 2019.
View at: Publisher Site | Google Scholar
S. Lesage and A. Brice, “Parkinson’s disease: from monogenic forms to genetic susceptibility factors,” Human Molecular Genetics, vol. 18, pp. 48–59, 2009.
View at: Publisher Site | Google Scholar
E. Sidranski and G. Lopez, “The link between the GBA gene and parkinsonism,” The Lancet Neurology, vol. 11, pp. 986–998, 2012.
View at: Google Scholar
D. G. Healy, M. Flachi, and S. O’Sullivan, “Phenotype, genotype, and worldwide genetic penetrance of LRRK2-associated Parkinson’s disease: a case control study,” The Lancet Neurology, vol. 7, no. 7, pp. 583–590, 2008.
View at: Publisher Site | Google Scholar
L. J. Ozelius, G. Senthil, and R. Saunders-Pullman, “LRRK2 G2019S as a cause of Parkinson’s disease in Ashkenazi Jews,” New England Journal of Medicine, vol. 354, pp. 424-425, 2006.
View at: Publisher Site | Google Scholar
S. Lesage, P. Ibanez, E. Lohmann, P. Pollak, and F. Tison, “LRRK2 mutation in French and North African families with Parkinson’s disease,” Annals of Neurology, vol. 58, pp. 784–787, 2005.
View at: Publisher Site | Google Scholar
L. N. Clark, Y. Wang, and E. Karlins, “Frequency of LRRK2 mutations in early- and late-onset Parkinson’s disease,” Neurology, vol. 67, no. 10, pp. 1786–1791, 2006.
View at: Publisher Site | Google Scholar
R. N. Alcalay, A. Mirelman, and R. Sauners-Pullman, “Parkinson disease phenotype in Ashkenazi Jews with and without LRRK2 G2019S mutations,” Movement Disoders, vol. 28, no. 14, pp. 1966–1971, 2013.
View at: Publisher Site | Google Scholar
C. Gaig, D. Vilas, and J. Infante, “Nonmotor Symptoms in LRRK2 G2019S associated Parkinson’s disease,” PLoS One, vol. 9, p. 108982, 2014.
View at: Publisher Site | Google Scholar
J. Trinh, F. M. Zeldenrust, and J. Huang, “Genotype-phenotype relations for the Parkinson’s disease genes SNCA, LRRK2, VPS35: MDSGene systematic review,” Movement Disorders, vol. 33, pp. 1857–1870, 2018.
View at: Publisher Site | Google Scholar
S. Belarbi, N. Hecham, and S. Lesage, “LRRK2 G2019S mutation in Parkinson's disease: a neuropsychological and neuropsychiatric study in a large Algerian cohort,” Parkinsonism & Related Disorders, vol. 16, pp. 676–679, 2010.
View at: Publisher Site | Google Scholar
V. Shanker, M. Groves, and G. Heiman, “Mood and cognition in leucine-rich repeat kinase 2 G2019S Parkinson’s disease,” Movement Disorders, vol. 26, no. 10, pp. 1875–1880, 2011.
View at: Publisher Site | Google Scholar
S. Ben Sassi, F. Nabli, and E. Hentati, “Cognitive dysfunction in Tunisian LRRK2 associated Parkinson's disease,” Parkinsonism & Related Disorders, vol. 18, pp. 243–246, 2012.
View at: Publisher Site | Google Scholar
A. Mirelman, T. Heman, and K. Yasinovsky, “Fall risk and gait in Parkinson’s diease: the role of the LRRK2 G2019S mutation,” Movement Disorders, vol. 28, no. 12, pp. 1683–1690, 2013.
View at: Publisher Site | Google Scholar
A. Estanga, M. C. Rodriguez-Oroz, and J. Ruiz-Martinez, “Cognitive dysfunction in Parkinson’s disease realated to the R1441G mutation in LRR2K,” Parkinsonism & Related Disorders, vol. 20, no. 10, pp. 1097–1000, 2014.
View at: Publisher Site | Google Scholar
Y. Zheng, Z. Pei, and Y. Liu, “Cognitive impairments in LRRK2-Related Parkinson’s disease: a study in Chinese Individuals,” Behavioural Neurology, vol. 621873, 2015.
View at: Publisher Site | Google Scholar
S. Srivatsal, B. CHolerton, and J. B. Leverenz, “Cognitive profile of LRRK2-Related Parkinson’s disease,” Movement Disorders, vol. 30, no. 5, pp. 728–733, 2015.
View at: Publisher Site | Google Scholar
J. H. Somme, A. Molano Salazar, and A. Gonzalez, “Cognitive and behavioral symptoms in Parkinson’s disease patients with the G2019S and R1441G mutations of the LRRK2 gene,” Parkinsonism & Related Disorders, vol. 21, no. 5, pp. 494–499, 2015.
View at: Publisher Site | Google Scholar
R. N. Alcalay, H. Mejia-Santana, and A. Mirelman, “Neuropsychological performance in LRRK2 G2019S carriers with Parkinson’s disease,” Parkinsonism & Related Disorders, vol. 21, no. 2, pp. 106–110, 2015.
View at: Publisher Site | Google Scholar
J. H. Hong, Y. K. Kim, and J. S. Park, “Lack of association between G2385R and cognitive dysfunction in Korean patients with Parkinson’s disease,” Journal of Clinical Neuroscience, vol. 36, pp. 108–113, 2007.
View at: Google Scholar
R. Saunders-Pullman, A. Mirelman, and R. N. Alcalay, “Progression in the LRRK2-associated Parkinson disease population,” JAMA Neurology, vol. 75, no. 3, pp. 312–319, 2018.
View at: Publisher Site | Google Scholar
M. Tan, N. Malek, and M. Lawton, “Genetic analysis of Mendelian mutations in a large UK population-based Parkinson’s disease study,” Brain, vol. 142, no. 9, pp. 2828–2844, 2019.
View at: Publisher Site | Google Scholar
L. Kalia, “Biomarkers for cognitive dysfunction in Parkinson's disease,” Parkinsonism and rel disord, vol. 46, pp. S19–S23, 2018.
View at: Publisher Site | Google Scholar
L. V. Kalia, A. E. Lang, and L. N. Hazrati, “Clinical correlations with Lewy body pathology in LRRK2-related Parkinson disease,” JAMA Neurology, vol. 72, no. 1, pp. 100–105, 2015.
View at: Publisher Site | Google Scholar
A. Thaler, A. Mirelman, and T. Gurevich, “Lower cognitive performance in healthy G2019S LRRK2 mutation carriers,” Neurology, vol. 79, pp. 1027–1032, 2012.
View at: Publisher Site | Google Scholar
A. Mirelman, R. N. Alcalay, and R. Saunders-Pullman, “Non-motor symptoms in healty Ashkenazi Jewish carriers of the G2019S mutation in the LRRK2 gene,” Movement Disorders, vol. 30, pp. 981–986, 2015.
View at: Publisher Site | Google Scholar
C. Pont-Sunyer, E. Tolosa, C. Caspell-Garcia et al., “The prodromal phase of leucine-rich repeat kinase 2-associated Parkinson disease: clinical and imaging studies,” Movement Disorders, vol. 32, no. 5, pp. 726–738, 2017.
View at: Publisher Site | Google Scholar
M. H. Polymeropoulos, C. Lavedan, and E. Leroy, “Mutation in the alpha-synclein gene identified in families with Parkinson’s disease,” Science, vol. 276, pp. 2045–2047, 1997.
View at: Publisher Site | Google Scholar
K. Rosborough, N. Patel, and L. V. Kalia, “A-Synuclein and Parkinsonism: updates and future perspectives,” Current Neurology and Neuroscience Reports, vol. 17, p. 31, 2017.
View at: Publisher Site | Google Scholar
H. Yoshino, M. Hirano, and A. J. Stoessl, “Homozygous alphasynuclein p.A53V in familial Parkinson’s disease,” Neurobiology of Aging, vol. 57, pp. 248e.7–248.e12, 2017.
View at: Publisher Site | Google Scholar
D. Hoffman-Zacharska, D. Koziorowski, and O. A. Ross, “Novel A18T and pA29S substitutions in α-synuclein may be associated with sporadic Parkinson's disease,” Parkinsonism & Related Disorders, vol. 19, no. 11, pp. 1057–1060, 2013.
View at: Publisher Site | Google Scholar
M. Kasten and C. Klein, “The many faces of alpha-synuclein mutations,” Movement Disorders, vol. 28, no. 6, pp. 697–701, 2013.
View at: Publisher Site | Google Scholar
P. Ibáñez, S. Lesage, and S. Janin, “Alpha-synuclein gene rearrangements in dominantly inherited parkinsonism: frequency, phenotype, and mechanisms,” Archives of Neurology, vol. 66, no. 1, pp. 102–108, 2009.
View at: Publisher Site | Google Scholar
M. Farrer, J. Kachergus, and L. Forno, “Comparison of kindreds with parkinsonism and alpha-synuclein genomic multiplications,” Annals of Neurology, vol. 55, pp. 174–179, 2004.
View at: Publisher Site | Google Scholar
T. Ikeuchi, A. Kakita, and A. Shiga, “Patients homozygous and heterozygous for SNCA duplication in a family with parkinsonism and dementia,” Archives of Neurology, vol. 65, pp. 514–519, 2008.
View at: Publisher Site | Google Scholar
K. Markopoulou, D. W. Dickson, and R. McComb, “Clinical, neuropathological and genotypic variability in SNCA A53T familial Parkinson’s disease. Variability in familial Parkinson’s disease,” Acta Neuropathologica, vol. 116, pp. 25–35, 2008.
View at: Publisher Site | Google Scholar
P. J. Spira, D. M. Sharpe, and G. Halliday, “Clinical and pathological features of a Parkinsonian syndrome in a family with an Ala53Thr alpha-synuclein mutation,” Annals of Neurology, vol. 49, pp. 313–319, 2001.
View at: Publisher Site | Google Scholar
T. Tokutake, A. Ishikawa, and N. Yoshimura, “Clinical and neuroimaging features of patient with early-onset Parkinson’s disease with dementia carrying SNCA p.G51D mutation,” Parkinsonism & Related Disorders, vol. 20, pp. 262–264, 2014.
View at: Publisher Site | Google Scholar
J. J. Zarranz, J. Alegre, and J. C. Gómez-Esteban, “The new mutation, E46K, of alpha-synuclein causes Parkinson and Lewy body dementia,” Annals of Neurology, vol. 55, pp. 164–173, 2004.
View at: Publisher Site | Google Scholar
A. Puschmann, O. A. Ross, and C. Vilariño-Güell, “A Swedish family with de novo alpha-synuclein A53T mutation: evidence for early cortical dysfunction,” Parkinsonism & Related Disorders, vol. 15, pp. 627–632, 2009.
View at: Publisher Site | Google Scholar
M. Breza, G. Koutsis, and G. Karadima, “The different faces of the p.A53T alpha-synuclein mutation: a screening of Greek patients with parkinsonism and/or dementia,” Neuroscience Letters, vol. 672, pp. 136–139, 2018.
View at: Publisher Site | Google Scholar
A. Bougea, C. Koros, and M. Stamelou, “Frontotemporal dementia as the presenting phenotype of p.A53T mutation carriers in the alpha-synuclein gene,” Parkinsonism & Related Disorders, vol. 35, pp. 82–87, 2017.
View at: Publisher Site | Google Scholar
E. Kara, A. P. Kiely, and C. Proukakis, “A 6.4 Mb duplication of the α-synuclein locus causing frontotemporal dementia and Parkinsonism: phenotype-genotype correlations,” JAMA Neurology, vol. 71, no. 9, p. 1162‐1171, 2014.
View at: Publisher Site | Google Scholar
S. Kielb, Y. Y. Kisanuki, and E. Dawson, “Neuropsychological profile associated with an alpha-synuclein gene (SNCA) duplication,” The Clinical Neuropsychologist, pp. 1–12, 2021.
View at: Publisher Site | Google Scholar
S. A. Schneider and R. N. Alcalay, “Neuropathology of genetic synucleinopathies with parkinsonism: review of the literature,” Movement Disorders, vol. 32, no. 11, pp. 1504–1523, 2017.
View at: Publisher Site | Google Scholar
K. Tanaka, T. Suzuki, and T. Chiba, “Parkin is linked to the ubiquitin pathway,” Journal of Molecular Medicine, vol. 79, no. 9, pp. 482–494, 2001.
View at: Publisher Site | Google Scholar
L. L. Kilarski, J. P. Pearson, and V. Newsway, “Systematic review and UK-based study of PARK2 (parkin), PINK1, PARK7 (DJ-1) and LRRK2 in early-onset Parkinson’s disease,” Movement Disorders, vol. 27, no. 12, pp. 1522–1529, 2012.
View at: Publisher Site | Google Scholar
M. Kasten, C. Hartmann, and J. Hampf, “Genotype-phenotype relations for the Parkinson’s disease genes parkin, PINK1, DJ1: MDSGene systematic review,” Movement Disorders, vol. 33, no. 5, pp. 730–741, 2018.
View at: Publisher Site | Google Scholar
E. Lohmann, M. Periquet, and V. Bonifati, “How much phenotypic variation can be atributted to parkin genotype?” Annals of Neurology, vol. 54, no. 2, pp. 176–185, 2003.
View at: Publisher Site | Google Scholar
C. B. Lücking, A. Dürr, and V. Bonifati, “Association between early-onset Parkinson’s disease and mutations in the parkin gene,” New England Journal of Medicine, vol. 342, no. 21, pp. 1560–1567, 2000.
View at: Publisher Site | Google Scholar
D. M. Kay, d Moran, and L. Moses, “Heterozygous parkin point mutations are as common in control subjects as in Parkinson’s patients,” Annals of Neurology, vol. 61, no. 1, pp. 47–54, 2007.
View at: Publisher Site | Google Scholar
N. Pankratz, D. K. Kissell, and M. W. Pauciulo, “Parkinson Study Group-PROGENI Investigators. Parkin dosage mutations have greater pathogenicity in familial PD than simple sequence mutations,” Neurology, vol. 73, no. 4, pp. 279–286, 2009.
View at: Publisher Site | Google Scholar
R. N. Alcalay, H. Mejia-Santana, and M. X. Tang, “Self-report of cognitive impairment and mini-mental state examination performance in PRKN, LRRK2, and GBA carriers with early onset Parkinson’s disease,” Journal of Clinical and Experimental Neuropsychology, vol. 32, no. 7, pp. 775–779, 2010.
View at: Publisher Site | Google Scholar
E. Lohmann, S. Thobois, and S. Lesage, “A multidisciplinary study of patients with early-onset PD with and without parkin mutations,” Neurology, vol. 72, no. 2, pp. 110–116, 2009.
View at: Publisher Site | Google Scholar
E. Caccappolo, R. N. Alcalay, and H. Mejia-Santana, “Neuropsychological profile of parquin mutation carriers with and without Parkinson disease: the CORE-PD study,” Journal of the International Neuropsychological Society, vol. 17, no. 1, pp. 91–100, 2011.
View at: Publisher Site | Google Scholar
R. N. Alcalay, E. Caccapolo, and H. Mejia-Santana, “Cognitive and motor function in long-duration PARKIN-associated Parkinson disease,” JAMA Neurology, vol. 71, no. 1, pp. 62–67, 2014.
View at: Publisher Site | Google Scholar
V. Bonifati, “Autosomal recessive parkinsonism,” Parkinsonism & Related Disorders, vol. 18, no. 1, pp. S4–S5, 2012.
View at: Publisher Site | Google Scholar
R. Kumazawa, H. Tomivana, and Y. Li, “Mutation analysis of the PINK1 gene in 391 patients with Parkinson disease,” Archives of Neurology, vol. 65, no. 6, pp. 802–808, 2008.
View at: Publisher Site | Google Scholar
V. Bonifati, C. F. Rohé, and G. J. Breedveld, “Italian Parkinson Genetics Network. Early-onset parkinsonism associated with PINK1 mutations: frequency, genotypes, and phenotypes,” Neurology, vol. 65, no. 1, pp. 87–95, 2005.
View at: Publisher Site | Google Scholar
P. Ibáñez, S. Lesage, and E. Lohmann, “French Parkinson’s disease genetics study group. Mutational analysis of the PINK1 gene in early-onset parkinsonism in europe and North Africa,” Brain, vol. 129, no. 3, pp. 686–694, 2006.
View at: Publisher Site | Google Scholar
L. Ephraty, O. Porat, and D. Israeli, “Neuropsychiatric and cognitive features in autosomal-recessive early parkinsonism due to PINK1 mutations,” Movement Disorders, vol. 22, no. 4, pp. 566–569, 2007.
View at: Publisher Site | Google Scholar
A. R. Bentivoglio, P. Cortelli, and E. M. Valente, “Phenotypic characterisation of autosomal recessive PARK6-linked parkinsonism in three unrelated Italian families,” Movement Disorders, vol. 16, no. 6, pp. 999–1006, 2001.
View at: Publisher Site | Google Scholar
P. Ibáñez, S. Lesage, and E. Lohmann, “Mutational analysis of the PINK1 gene in early-onset parkinsonism in Europe and North Africa,” Brain, vol. 129, pp. 686–694, 2006.
View at: Google Scholar
E. M. Valente, S. Salvi, and T. Ialongo, “PINK1 mutations are associated with sporadic early-onset parkinsonism,” Annals of Neurology, vol. 56, no. 3, pp. 336–341, 2004.
View at: Publisher Site | Google Scholar
L. Samaranch, O. Lorenzo-Betancor, and J. M. Arbelo, “PINK1-linked parkinsonism is associated with Lewy body pathology,” Brain, vol. 133, no. Pt 4, pp. 1128–1142, 2010.
View at: Publisher Site | Google Scholar
T. Shiner, A. Mirelman, and M. Gana Weisz, “High frequency of GBA gene mutations in dementia with lewy bodies among Ashkenazi jews,” JAMA Neurology, vol. 73, no. 12, 2016.
View at: Publisher Site | Google Scholar
E. Sidransky, M. A. Nalls, and J. O. Aasly, “Multicenter analysis of glucocerebrosidase mutations in Parkinson’s disease,” New England Journal of Medicine, vol. 361, no. 17, pp. 1651–1661, 2009.
View at: Publisher Site | Google Scholar
K. Brockmann, K. Srulijes, and A. K. Hauser, “GBA-associated PD presents with nonmotor characteristics,” Neurology, vol. 77, no. 3, pp. 276–280, 2011.
View at: Publisher Site | Google Scholar
Z. Gan-Or, N. Gilandi, and U. Rozovski, “Genotyope-phenotype correlations between GBA mutations and Parkinson disease risk and onset,” Neurology, vol. 70, no. 24, pp. 2277–2283, 2008.
View at: Publisher Site | Google Scholar
S. Petrucci, M. Ginevrino, and I. Trezzi, “Dissection of genotype-phenotype correlates in a large Italian cohort,” Movement Disorders, vol. 35, no. 11, pp. 2106–2111, 2020.
View at: Publisher Site | Google Scholar
R. N. Alcalay, E. Caccappolo, and H. Mejia-Santana, “Cognitive performance of GBA mutation carriers with early-onset PD: the CORE-PD study,” Neurology, vol. 78, no. 18, pp. 1434–1440, 2012.
View at: Publisher Site | Google Scholar
L. M. Chanine, J. Qiang, and E. Ashbridge, “Clinical and biochemical differences in patients having Parkinson’s disease with vs without GBA mutations,” JAMA Neurology, vol. 70, no. 7, pp. 852–858, 2013.
View at: Google Scholar
J. Neumann, J. Bras, and E. Deas, “Glucocerebrosidase mutations in clinical and pathologically proven Parkinson’s disease,” Brain, vol. 132, pp. 1783–1794, 2009.
View at: Publisher Site | Google Scholar
N. Setó-Salvia, J. Pagonabarraga, and H. Houlden, “Glucocerebrosidase mutations confer a greater risk of dementia during Parkion’s disease coure,” Movement Disorders, vol. 27, no. 3, pp. 393–3999, 2012.
View at: Publisher Site | Google Scholar
T. Oeda, A. Umemura, and Y. Mori, “Impact of glucocerebrosidase mutations on motor and nonmotor complications in Parkinson’s disease,” Neurobiology of Aging, vol. 36, no. 12, pp. 3306–3313, 2015.
View at: Publisher Site | Google Scholar
L. N. Clark, L. A. Kartsaklis, and R. Wolf Gilbert, “Association of glucocerebrosidase mutations with dementia with lewy bodies,” Archives of Neurology, vol. 66, no. 5, pp. 578–583, 2009.
View at: Publisher Site | Google Scholar
A. Mc Neil, R. Duran, and C. Proukakis, “Hyposmia and cognitive impairment in Gaucher disease patients and carriers,” Movement Disorders, vol. 27, no. 4, pp. 526–532, 2012.
View at: Publisher Site | Google Scholar
S. E. Winder-Rhodes, J. R. Evans, and M. Ban, “Glucocerebrosidase mutations influence the natural history of Parkinson’s disease in a community-based incident cohort,” Brain, vol. 136, no. 2, pp. 392–399, 2013.
View at: Publisher Site | Google Scholar
I. F. Mata, J. B. Leverenz, and D. Weintraub, “GBA variants are associated with a distinct pattern of cognitive deficits in Parkinson’s disease,” Movement Disorders, vol. 31, no. 1, pp. 95–102, 2016.
View at: Publisher Site | Google Scholar
M. Y. Davis, C. O. Johnson, and J. B. Leverenz, “Association of GBA mutations and the E326K polymorphism with motor and cognitive progression in Parkinson’s disease,” JAMA Neurology, vol. 73, no. 10, pp. 1217–1224, 2016.
View at: Publisher Site | Google Scholar
N. Malek, R. Weil, and C. Bresner, “Features of GBA-associated Parkinson’s disease at presentation in the UK Tracking Parkinson’s study,” Journal of Neurology Neurosurgery and Psychiatry, vol. 89, pp. 702–709, 2018.
View at: Publisher Site | Google Scholar
A. Biswas, T. Sadhukhan, and A. Biswas, “Identification of GBA mutations among neurodegenerative disease patients from eastern India,” Neuroscience Letters, vol. 23, p. 135816, 2021.
View at: Publisher Site | Google Scholar
W. C. Nichols, N. Pankratz, and D. K. Marek, “Mutations in GBA are associated with familial Parkinson disease susceptibility and age at onset,” Neurology, vol. 72, no. 4, pp. 310–316, 2009.
View at: Publisher Site | Google Scholar
R. Cilia, S. Tunesi, and G. Marotta, “Survival and dementia in GBA-associated Parkinson’s disease: the mutation matters,” Annals of Neurology, vol. 80, no. 5, pp. 662–673, 2016.
View at: Publisher Site | Google Scholar
H. Iwaki, C. Blauwendraat, and H. L. Leonard, “Genetic risk of Parkinson disease and progression: an analysis of 13 longitudinal cohorts,” Neurol Genet, vol. 5, p. e348, 2019.
View at: Publisher Site | Google Scholar
N. Bregman, A. Thaler, and A. Mirelman, “A cognitive fMRI study in non-manifesting LRRK2 and GBA carriers,” Brain Structure and Function, vol. 222, 2017.
View at: Publisher Site | Google Scholar
L. M. Chanine, L. Urbe, and C. Caspell-Garcia, “Cognition among individuals along a spectrum of increased risk for Parkinson’s disease,” PLoS One, vol. 13, no. 8, 2018.
View at: Google Scholar
S. Mullin, M. Beavan, and J. Bestwick, “Evolution and clustering of prodromal parkinsonian features in GBA1 carriers,” Movement Disorders, vol. 34, no. 9, pp. 1365–1373, 2019.
View at: Publisher Site | Google Scholar
M. Avenali, M. Toffoli, and S. Mullin, “Evolution of prodromal parkinsonian features in a cohort of GBA mutation-positive individuals: a 6-year longitudinal study,” Journal of Neurology Neurosurgery and Psychiatry, vol. 90, no. 10, pp. 1091–1097, 2019.
View at: Publisher Site | Google Scholar
L. Gao, H. Tang, and K. Nie, “Cerebrospinal fluid alpha-synuclein as a biomarker for Parkinson's disease diagnosis: a systematic review and meta-analysis,” International Journal of Neuroscience, vol. 125, no. 9, p. 645e654, 2015.
View at: Publisher Site | Google Scholar
J. O. Aasly, K. K. Johansen, and G. Brønstad, “Elevated levels of cerebrospinal fluid α-synuclein oligomers in healthy asymptomatic LRRK2 mutation carriers,” Frontiers in Aging Neuroscience, vol. 6, p. 248, 2014.
View at: Publisher Site | Google Scholar
D. Vilas, B. Segura, and H. C. Baggio, “Nigral and striatal connectivity alterations in asymptomatic LRRK2 mutation carriers: a magnetic resonance imaging study,” Movement Disorders, vol. 31, no. 12, pp. 1820–1828, 2016.
View at: Publisher Site | Google Scholar
A. Garrido, G. Fairfoul, E. S. Tolosa, M. J. Martí, and A. Green, “α-synuclein RT-QuIC in cerebrospinal fluid of LRRK2-linked Parkinson's disease,” Annals of Clinical and Translational Neurology, vol. 6, no. 6, p. 1024‐1032, 2019.
View at: Publisher Site | Google Scholar
D. Vilas, L. M. Shaw, and P. Taylor, “Cerebrospinal fluid biomarkers and clinical features in leucine-rich repeat kinase 2 (LRRK2) mutation carriers,” Movement Disorders, vol. 31, pp. 906–914, 2016.
View at: Publisher Site | Google Scholar
K. Brockmann, C. Schulte, and C. Deuschle, “Neurodegenerative CSF markers in genetic and sporadic PD: classification and prediction in a longitudinal study,” Parkinsonism & Related Disorders, vol. 21, pp. 1427–1434, 2015.
View at: Publisher Site | Google Scholar
K. Kasuga, T. Tokutake, and A. Ishikawa, “Differential levels of α-synuclein, β-amyloid42 and tau in CSF between patients with dementia with Lewy bodies and Alzheimer’s disease,” Journal of Neurology Neurosurgery and Psychiatry, vol. 81, no. 6, pp. 608–610, 2010.
View at: Publisher Site | Google Scholar
S. Lerche, C. Schulte, and K. Srulijes, “Cognitive impairment in Glucocerebrosidase (GBA)-associated PD: not primarily associated with cerebrospinal fluid Abeta and Tau profiles,” Movement Disorders, vol. 32, no. 12, pp. 1780–1783, 2017.
View at: Publisher Site | Google Scholar
S. Lerche, I. Wurster, and B. Roeben, “Parkinson’s disease: glucocerebrosidase 1 mutaation severity is associated with CSF alpha-synuclein profiles,” Movement Disorders, vol. 35, no. 3, pp. 459–499, 2020.
View at: Publisher Site | Google Scholar
M. J. Firbank, A. J. Yarnall, and R. A. Lawson, “Cerebral glucose metabolism and cognition in newly diagnosed Parkinson’s disease: ICICLE-PD study,” Journal of Neurology Neurosurgery and Psychiatry, vol. 88, no. 4, pp. 310–316, 2017.
View at: Publisher Site | Google Scholar
A. De Rosa, S. Peluso, and N. De Lucia, “Cognitive profile and 18F-fluorodeoxyglucose PET study in LRRK2-related Parkinson’s disease,” Parkinsonism & Related Disorders, vol. 47, pp. 80–83, 2018.
View at: Publisher Site | Google Scholar
R. C. Helmich, A. Thaler, and B. F. van Nuenen, “Reorganization of corticostriatal circuits in healthy G2019S LRRK2 carriers,” Neurology, vol. 84, no. 4, pp. 399–406, 2015.
View at: Publisher Site | Google Scholar
Y. Hou, C. Luo, and J. Yang, “Altered intrinsic brain functional connectivity in drug-naïve Parkinson’s disease patients with LRRK2 mutations,” Neuroscience Letters, vol. 14, no. 675, pp. 145–151, 2018.
View at: Publisher Site | Google Scholar
A. Thaler, R. C. Helmich, and A. Or-Borichev, “Intact working memory in nonmanifesting LRRK2 carriers–an fMRI study,” European Journal of Neuroscience, vol. 43, no. 1, pp. 106–112, 2016.
View at: Publisher Site | Google Scholar
A. Thaler, A. Mirelman, and R. C. Helmich, “Neural correlates of executive functions in healthy G2019S LRRK2 mutation carriers,” Cortex, vol. 49, pp. 2501–2511, 2013.
View at: Publisher Site | Google Scholar
B. F. Van Nuenen, R. C. Helmich, and M. Ferraye, “Cerebral pathological and compensatory mechanisms in the premotor phase of leucine-rich repeat kinase 2 parkinsonism,” Brain, vol. 135, pp. 3687–3698, 2012.
View at: Publisher Site | Google Scholar
K. Nishioka, S. Hayashi, and M. Farrer, “Clinical heterogeneity of a alpha-synuclein gene duplication in Parkinson’s disease,” Annals of Neurology, vol. 59, no. 2, pp. 298–309, 2006.
View at: Publisher Site | Google Scholar
K. Nishioka, O. A. Ross, and K. Ishii, “Expanding the clinical phenotype of SNCA duplication carriers,” Movement Disorders, vol. 24, no. 12, pp. 1811–1819, 2009.
View at: Publisher Site | Google Scholar

Copyright

Copyright © 2021 A. Planas-Ballvé and D. Vilas. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PDF Download Citation

Download other formats

Order printed copies

Views

788

Downloads

721

Citations