Cognitive and Brain Imaging Changes in Parkinsonism
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The present thesis comprises three main parts: one theoretical and two experimental.
\nThe first part, composed of two chapters, will introduce the clinical and neuropathological features underlying parkinsonian disorders, namely in Parkinson’s disease (PD) as well as in atypical parkinsonisms — multiple system atrophy (MSA) and progressive supranuclear palsy (PSP) (Chapter 1). In this regard, PD and MSA are defined as synucleinopathies due to the presence of synuclein aggregates; while PSP that is characterized by tau protein accumulations, is part of tauopathies. Further, Chapter 2 will provide an overview of the cognitive dysfunctions characterizing these disorders, as well as evidence on the biological mechanisms and structural changes underlying cognitive alterations.
\nThe second and third parts are composed by studies I conducted during my doctoral research.
\nNamely, in Chapter 3, I report results of my studies on cognitive screening instruments most sensitive in detecting cognitive alterations in atypical parkinsonisms compared to PD. 
\nIn the following study, I characterized the progression of cognitive decline in these disorders (Chapter 4).
\nFinally, I investigated with magnetic resonance imaging the structural changes underlying cognitive alterations in PD (Chapter 5), and MSA (Chapter 6). I conclude this thesis by discussing the clinical consequences of these cognitive and imaging findings (Chapter 7). 
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\nPART I - Theoretical background
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\nChapter 1: Parkinsonian disorders
\nParkinsonian disorders are characterized by different underlying pathologies. In PD and MSA there are synuclein aggregates respectively in dopamine neurons or in glial cells, while PSP patients present pathological aggregation of the tau-protein, resulting in neurofibrillary tangles formation (Daniel, de Bruin, & Lees, 1995; Dickson, 1999).
\nClinical manifestations depend by the characteristics of protein aggregation and by the extent of disease spread to cortical and subcortical regions (Halliday, Holton, Revesz, & Dickson, 2011).
\nThus, the present chapter will overview the underlying pathology of PD, MSA and PSP; and it will describe the different clinical features; and lastly review the most recent diagnostic criteria (e.g., Gelb, Oliver, & Gilman, 1999; Gilman et al., 2008; Höglinger et al., 2017).
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\nChapter 2: Cognitive features and their underlying mechanisms in parkinsonian disorders
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\nNon-motor symptoms represent a crucial part of the parkinsonian disorders spectrum; and cognitive dysfunctions, including dementia, are probably the most relevant, since they affect functional independence of patients, increase caregiver burden as well as wield a considerable socioeconomic impact (Keranen et al., 2003; McCrone et al., 2011; Vossius, Larsen, Janvin, & Aarsland, 2011).
\nThe first part of this chapter will provide an overview on cognitive dysfunctions in PD, MSA, and PSP. Moreover, the clinical criteria for the diagnosis of mild cognitive impairment and dementia in PD will be reported (Dubois et al., 2007; Emre et al., 2007; Litvan et al., 2012), while so far there are no available criteria to assess cognitive syndromes in PSP and MSA.
\nLastly, the second and third parts of this chapter will review the evidence on biological mechanisms and structural changes underlying cognitive alterations in these disorders.
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\nPART II - Studies on cognitive manifestations in parkinsonian disorders
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\nChapter 3: Montreal Cognitive Assessment and Mini-Mental State Examination performance in progressive supranuclear palsy, multiple system atrophy and Parkinson’s disease
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\nThere is general agreement that cognitive dysfunctions are common in PD as well as in other parkinsonian disorders (Aarsland et al., 2017; Brown et al., 2010; Gerstenecker, 2017). 
\nBrief screening cognitive scales can be adopted in routine care, to support the clinician in the diagnostic process (Marras, Troster, Kulisevsky, & Stebbins, 2014). The Mini-Mental State Examination (MMSE) is the most widely used (Folstein, Folstein, & McHugh, 1975) although MMSE is relatively insensitive in detecting cognitive deficits in parkinsonian disorders mainly because it does not investigate the fronto-executive domain (Hoops et al., 2009). Conversely, the Montreal Cognitive Assessment (MoCA), another brief cognitive screening tool widely used with PD patients (Nasreddine et al., 2005), showed high sensitivity and specificity in the assessment of cognitive dysfunctions in PD (Gill, Freshman, Blender, & Ravina, 2008; Hoops et al., 2009; Zadikoff et al., 2008), as well as also in several neurodegenerative conditions such as Alzheimer’s disease, dementia with Lewy bodies (DLB) and Huntington’s disease (Biundo et al., 2016b; Hoops et al., 2009; Nasreddine et al., 2005; Videnovic et al., 2010). However, MoCA has been poorly investigated in atypical parkinsonisms — especially in PSP and MSA (Kawahara et al., 2015).
\nThus, this study’s main aim was to determine if MoCA is more sensitive than the commonly used MMSE in detecting cognitive abnormalities in patients with probable PSP and MSA, compared to PD. 
\nIn this multicenter study across three European institutions, MMSE and MoCA were administered to 130 patients: 35 MSA, 30 PSP and 65 age, and education and sex matched-PD.
\nWe assessed between-group differences for MMSE, MoCA, and their subitems and calculated receiver operating characteristic (ROC) curves. 
\nOur results show that the mean MMSE is higher than the mean MoCA score in each patient group: MSA (27.7 ± 2.4 vs. 22.9 ± 3.0, p<0.0001), PSP (26.0 ± 2.9 vs. 18.2 ± 3.9, p<0.0001), and PD (27.3 ± 2.0 vs. 22.3 ± 3.5, p<0.0001). Furthermore, MoCA total score as well as its letter fluency subitem differentiates PSP from MSA and PD with high specificity and moderate sensitivity. Namely, a cut-off score of seven words or less per minute would support a diagnosis of PSP (PSP vs. PD: 86% specificity, 70% sensitivity; PSP vs. MSA: 71% specificity, 70% sensitivity). On the contrary, MMSE presented a ceiling effect for most subitems, except for the ‘bisecting pentagons’, with PSP performing worse than MSA and PD patients. 
\nThese findings suggest that PSP and MSA, similar to PD patients, may present normal performance on MMSE, but reduced performance on MoCA. To conclude, MoCA is more sensitive than MMSE in detecting cognitive dysfunctions in atypical parkinsonisms, and together with its verbal fluency subitem can be a valuable test to support PSP diagnosis.
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\nChapter 4: Prospective assessment of cognitive dysfunctions in parkinsonian disorders
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\n Clinical and research evidence suggests cognitive impairments in parkinsonian disorders are progressive. However, there are only a few longitudinal studies in the literature that investigated cognitive progression in PSP and MSA compared to PD (Dubois & Pillon, 2005; Rittman et al., 2013; Soliveri, 2000). In addition, previous studies are based on brief cognitive screening scales or on neuropsychological assessments that do not extensively investigate the full spectrum of cognitive abilities across the five cognitive domains (i.e., attention/working-memory, executive, memory, visuospatial and language). 
\nFurthermore, even though clinical criteria for mild cognitive impairment (MCI) and dementia in PD have been formulated (Dubois et al., 2007; Litvan et al., 2012), it remains to be investigated whether similar criteria might be applied also for atypical parkinsonisms (Marras et al., 2014). 
\nBased on these observations, the aims of the present study were to: i) assess the severity of cognitive dysfunctions in PSP and MSA patients using PD-criteria for cognitive statuses (i.e., MCI or dementia); ii) investigate the sensitivity of two widely used cognitive screening instruments, the MMSE and MoCA, in differentiating MSA, PSP and PD global cognitive profile; iii) characterize the progression of cognitive decline on the five cognitive domains and behavioral features; and to compare the 15-month follow-up profile across the parkinsonian diseases.
\nOur sample included 18 patients with PSP, 12 MSA; and 30 PD patients, matched for age, education and sex. They were evaluated at baseline and at a mean of 15-month follow-up.
\nDemographic and clinical variables were collected. From the cognitive standpoint, I selected a comprehensive neuropsychological battery specifically designed to target cognitive deficits in PD, according to Level II criteria (Dubois et al., 2007; Litvan et al., 2012; Marras et al., 2014). Thus, I applied these criteria also to MSA and PSP since there are no published criteria for atypical parkinsonisms. Statistical non-parametric analyses were used.
\nI found PSP patients had more severe cognitive decline compared to PD and MSA. Namely, after 15-month follow-up, we noted a marked decline in the executive and language domains in the PSP group. Baseline and follow-up evaluations agreed, showing that PSP had a worse performance than PD and MSA patients: especially, in the Stroop test, verbal fluencies (semantic and phonemic) and MoCA. 
\nAssessing the severity of cognitive deficits, I found different percentages of cognitive status (i.e., normal cognition vs. MCI vs. dementia) among the three groups. In particular, the percentage of patients with dementia was higher in PSP compared to MSA (33% vs. no patients with dementia) even if disease duration was similar. Among MSA and PSP patients with multidomain MCI at baseline only PSP converted to dementia at follow-up. Then, although the disease duration was longer for PD patients compared with PSP, the proportion of patients who converted to dementia was lower in the PD group compared to PSP (7% vs. 16%), despite both groups hav

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