Cognitive and Brain Imaging Changes in Parkinsonism

The present thesis comprises three main parts: one theoretical and two experimental. The 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. The second and third parts are composed by studies I conducted during my doctoral research. Namely, 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. In the following study, I characterized the progression of cognitive decline in these disorders (Chapter 4). Finally, 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). PART I - Theoretical background Chapter 1: Parkinsonian disorders Parkinsonian 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). Clinical 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). Thus, 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). Chapter 2: Cognitive features and their underlying mechanisms in parkinsonian disorders Non-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). The 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. Lastly, the second and third parts of this chapter will review the evidence on biological mechanisms and structural changes underlying cognitive alterations in these disorders. PART II - Studies on cognitive manifestations in parkinsonian disorders Chapter 3: Montreal Cognitive Assessment and Mini-Mental State Examination performance in progressive supranuclear palsy, multiple system atrophy and Parkinson’s disease There 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). Brief 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). Thus, 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. In 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. We assessed between-group differences for MMSE, MoCA, and their subitems and calculated receiver operating characteristic (ROC) curves. Our 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. These 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. Chapter 4: Prospective assessment of cognitive dysfunctions in parkinsonian disorders 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). Furthermore, 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). Based 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. Our 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. Demographic 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. I 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. Assessing 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 having had similar baseline severity of MCI. Overall, these results suggest more rapid and severe cognitive decline in PSP while MSA patients generally have milder deficits. MoCA showed higher sensitivity than MMSE in detecting cognitive changes, especially in PSP. But MoCA was less sensitive than MMSE in detecting cognitive decline at 15-month in PD, suggesting that MMSE is better if one wants to track cognitive changes in PD. Neuropsychiatric features are more common in PSP than PD patients, especially apathy with accompanying low levels of anxiety and depression. Lastly, analysis of subitems revealed that PSP patients had a ‘clinically significant’ worsening after 15-month in the attentive/executive subitems (Trial Making Test part B and Clock drawing). But it has been observed that some patients also improved in specific subtasks at the follow-up. This improvement could be related to their higher medication dose (although the dopaminergic treatment was not significantly different between the baseline and follow-up). However, noteworthy alterations in performance have been seen for subitems sensitive to motor conditions (such as drawing figures and linking circles with a pen), which could affect cognitive outcome, leading to higher performance at follow-up. These limits of MoCA and MMSE scale have already been reported in PD patients (Biundo et al., 2016b; Hu et al., 2014), and maybe are more pronounced in atypical parkinsonisms. Taken together, these findings show that PSP patients were markedly impaired in comparison to the other parkinsonian disorders (MSA and PD) and six years after first symptoms, 33 percent of patients have dementia. This severe progression is possibly associated with the distribution of tau pathology that involves also cortical structures. On the contrary, the pattern of cognitive impairment in MSA is less severe, possibly due to the predominance of subcortical pathology with cortical involvement occurring only secondary to these abnormalities. Thus, these findings recommend using cognitive assessment to help differential diagnosis in atypical parkinsonisms, and to monitor disease progression. PART III - Neuroimaging studies of synucleinopathies Chapter 5: Amyloid depositions affect cognitive and motor manifestations in Parkinson’s disease Cognitive deficits, particularly executive problems, can be observed early in PD (Aarsland, Bronnick, Larsen, Tysnes, & Alves, 2009). Dysfunction of the frontostriatal dopaminergic system may influence the presence of executive and attention problems (Bruck, Aalto, Nurmi, Bergman, & Rinne, 2005), but so far, evidence from dopamine transporter (DAT) imaging are inconsistent (Delgado-Alvarado, Gago, Navalpotro-Gomez, Jimenez-Urbieta, & Rodriguez-Oroz, 2016). In this regard, the neuropathology underlying cognitive impairment in PD is heterogeneous (Irwin, Lee, & Trojanowski, 2013; Kehagia, Barker, & Robbins, 2010) and amyloid deposit involvement with synuclein pathology remains poorly defined, particularly in the disease’s early stages. Thus, this study’s aims were to investigate the interplay between amyloid depositions in frontostriatal pathways, striatal dopaminergic deficit and brain atrophy rates; and their contribution to cognitive defects (i.e., fronto-executive functions) in early-PD. A multicenter cohort of 33 PD patients from the Parkinson's Progression Markers Initiative underwent [18F]florbetaben positron emission tomography (PET) amyloid, [123I]FP-CIT (see Abbreviations List) single-photon emission computed tomography (SPECT), structural magnetic resonance imaging (MRI), clinical and selective cognitive evaluations. Our results showed that high amyloid levels were associated with reduced dopaminergic deficits in the dorsal striatum (as compared to low amyloid levels), increased brain atrophy in frontal and occipital regions and a tendency to show more frequent cognitive impairment in global cognition (as assessed by MoCA) and fronto-executive tests. Of note, amyloid depositions in frontostriatal regions were inversely correlated with cognitive performance. Overall, our findings suggest that early-PD patients with amyloid burden have higher brain atrophy rates and may experience more cognitive dysfunctions (i.e., executive) and motor impairment as compared to amyloid negative subjects. In this regard, our results seem to be aligned with a recent neuropathological hypothesis that considers synaptic axonal damage and dysfunction as the PD key feature (Tagliaferro & Burke, 2016). Indeed, dopaminergic system neurons are particularly vulnerable to synuclein pathology due to their axonal characteristics — long, thin and unmyelinated. This is also confirmed by imaging studies with DAT-binding PET (Caminiti et al., 2017), suggesting that synuclein aggregations in PD can affect synaptic function, and thus signal transmission from the disease’s very early stages. Our findings suggested a possible interaction between synuclein and the coincident amyloid pathology, wherein amyloid burden may facilitate the spread of synuclein (i.e., Lewy bodies) (Toledo et al., 2016), and we speculate that this interaction can further contribute to axonal vulnerability. Thus, consistently with this hypothesis, we conclude that possibly amyloid depositions act synergistically with synuclein pathology and affect PD clinical manifestations. Chapter 6: Brain structural profile of multiple system atrophy patients with cognitive impairment In contrast to other synucleinopathies (e.g., PD and DLB), presence of dementia is considered a non-supporting feature for MSA diagnosis (Gilman et al., 2008), however there is growing evidence that MSA patients can experience cognitive impairment ranging from executive dysfunctions to multiple-domain cognitive deficits, and in a few cases, also dementia (Gerstenecker, 2017). MMSE is a commonly used global cognitive scale and recently a large multicenter study has suggested using a cutoff score below 27 to increase the MMSE sensitivity in identifying cognitive dysfunctions in MSA (Auzou et al., 2015). Underlying mechanisms of cognitive impairment in MSA are still not understood, and in this regard evidence from MRI studies suggested a discrete cortical and subcortical contribution to explain cognitive deficits (Kim et al., 2015; Lee et al., 2016a), even though these findings were based on a relatively small number of patients at various disease stages as well as being single-center. Thus, the aim of our multicenter study was to better characterize the anatomical changes associated with cognitive impairment in MSA and to further investigate the cortical and subcortical structural differences in comparison to a sample of healthy subjects. We examined retrospectively 72 probable MSA patients and based on the MMSE threshold below 27, we defined 50 MSA as cognitively normal (MSA-NC) and 22 with cognitive impairment (MSA-CI). We directly compared the MSA subgroup, and further compared them to 36 healthy subjects using gray- and white-matter voxel-based morphometry and fully automated subcortical segmentation. Compared to healthy subjects, MSA patients showed widespread cortical (i.e., bilateral frontal, occipito-temporal, and parietal areas), subcortical, and white matter alterations. However, the direct comparison MSA-CI showed only focal volume reduction in the left dorsolateral prefrontal cortex compared with MSA-NC. These findings suggest only a marginal contribution of cortical pathology to cognitive deficits in MSA. Hence, we suggest that cognitive alterations are driven by focal frontostriatal degeneration that is in line with the concept of ‘subcortical cognitive impairment’

Impact of Cognitive Profile on Impulse Control Disorders Presence and Severity in Parkinson's Disease

Background: Impulse control disorders (ICDs) and related behaviors are frequent in Parkinson's disease (PD). Mild cognitive impairment (PD-MCI) and dementia (PDD), both characterized by heterogeneous cognitive phenotypes, are also commonly reported in PD. However, the frequency and severity of ICD within PD cognitive states is unknown.Methods: Three hundred and twenty-six PD patients completed a comprehensive neuropsychological assessment and were classified as PD-MCI, PDD, or without cognitive alterations (PD-NC). The Minnesota impulsive disorders interview was used to ascertain the presence (ICD+) or absence (ICD–) of ICD. The Questionnaire for Impulsive-Compulsive Disorders in Parkinson's Disease-Rating Scale was used to assess ICD severity. A subsample of 286 patients evaluated with the same cognitive tasks was selected in order to investigate the characteristics of ICD in PD cognitive phenotypes.Results: ICDs were present in 55% of PD-NC, in 50% of PD-MCI, and in 42% of PDD patients. Frequencies of ICD+ with attentive (ICD+: 20% vs. ICD–: 4%; p = 0.031) and executive impairments (ICD+: 44% vs. ICD–: 30%; p = 0.027) were higher in the PD-MCI and PDD subgroups, respectively. As expected, no differences were observed in the PD-NC. PD-MCI with attentive impairments presented higher percentage of ICD+ with deficits in the Trail Making Test B-A but not in the Digit Span Sequencing task. In PDD, executive failures concerned Similarities task (ICD+: 67%; ICD–: 29%; p = 0.035), with no differences between ICD+ and ICD– in the Stroop task.Conclusions: Prevalence and severity of ICDs and related behaviors do not differ in PD with different cognitive states. However, ICD+ are more likely to show deficits, respectively in attentive and in executive domains, specifically in the Trail Making Test B-A task for the attention and working memory domain in PD-MCI and in the Similarities task for the executive function domain in PDD. Prospective studies should evaluate if these tests can be used as screening tool for ICDs in PD

Erratum to "Double-blind Randomized Trial of tDCS Versus Sham in Parkinson Patients With Mild Cognitive Impairment Receiving Cognitive Training" Brain Stimulation 8 (2015) 1223-1225.

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Attitudes Toward the Adoption of Remote Patient Monitoring and Artificial Intelligence in Parkinson’s Disease Management:Perspectives of Patients and Neurologists

Objective: Early detection of Parkinson's Disease (PD) progression remains a challenge. As remote patient monitoring solutions (RMS) and artificial intelligence (AI) technologies emerge as potential aids for PD management, there's a gap in understanding how end users view these technologies. This research explores patient and neurologist perspectives on AI-assisted RMS. Methods: Qualitative interviews and focus-groups were conducted with 27 persons with PD (PwPD) and six neurologists from Finland and Italy. The discussions covered traditional disease progression detection and the prospects of integrating AI and RMS. Sessions were recorded, transcribed, and underwent thematic analysis. Results: The study involved five individual interviews (four Italian participants and one Finnish) and six focus-groups (four Finnish and two Italian) with PwPD. Additionally, six neurologists (three from each country) were interviewed. Both cohorts voiced frustration with current monitoring methods due to their limited real-time detection capabilities. However, there was enthusiasm for AI-assisted RMS, contingent upon its value addition, user-friendliness, and preservation of the doctor-patient bond. While some PwPD had privacy and trust concerns, the anticipated advantages in symptom regulation seemed to outweigh these apprehensions. Discussion: The study reveals a willingness among PwPD and neurologists to integrate RMS and AI into PD management. Widespread adoption requires these technologies to provide tangible clinical benefits, remain user-friendly, and uphold trust within the physician-patient relationship. Conclusion: This study offers insights into the potential drivers and barriers for adopting AI-assisted RMS in PD care. Recognizing these factors is pivotal for the successful integration of these digital health tools in PD management.</p

Attitudes Toward the Adoption of Remote Patient Monitoring and Artificial Intelligence in Parkinson’s Disease Management:Perspectives of Patients and Neurologists

Objective: Early detection of Parkinson's Disease (PD) progression remains a challenge. As remote patient monitoring solutions (RMS) and artificial intelligence (AI) technologies emerge as potential aids for PD management, there's a gap in understanding how end users view these technologies. This research explores patient and neurologist perspectives on AI-assisted RMS. Methods: Qualitative interviews and focus-groups were conducted with 27 persons with PD (PwPD) and six neurologists from Finland and Italy. The discussions covered traditional disease progression detection and the prospects of integrating AI and RMS. Sessions were recorded, transcribed, and underwent thematic analysis. Results: The study involved five individual interviews (four Italian participants and one Finnish) and six focus-groups (four Finnish and two Italian) with PwPD. Additionally, six neurologists (three from each country) were interviewed. Both cohorts voiced frustration with current monitoring methods due to their limited real-time detection capabilities. However, there was enthusiasm for AI-assisted RMS, contingent upon its value addition, user-friendliness, and preservation of the doctor-patient bond. While some PwPD had privacy and trust concerns, the anticipated advantages in symptom regulation seemed to outweigh these apprehensions. Discussion: The study reveals a willingness among PwPD and neurologists to integrate RMS and AI into PD management. Widespread adoption requires these technologies to provide tangible clinical benefits, remain user-friendly, and uphold trust within the physician-patient relationship. Conclusion: This study offers insights into the potential drivers and barriers for adopting AI-assisted RMS in PD care. Recognizing these factors is pivotal for the successful integration of these digital health tools in PD management.</p

Cognitive and Brain Imaging Changes in Parkinsonism

The present thesis comprises three main parts: one theoretical and two experimental. The 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. The second and third parts are composed by studies I conducted during my doctoral research. Namely, 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. In the following study, I characterized the progression of cognitive decline in these disorders (Chapter 4). Finally, 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). PART I - Theoretical background Chapter 1: Parkinsonian disorders Parkinsonian 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). Clinical 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). Thus, 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). Chapter 2: Cognitive features and their underlying mechanisms in parkinsonian disorders Non-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). The 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. Lastly, the second and third parts of this chapter will review the evidence on biological mechanisms and structural changes underlying cognitive alterations in these disorders. PART II - Studies on cognitive manifestations in parkinsonian disorders Chapter 3: Montreal Cognitive Assessment and Mini-Mental State Examination performance in progressive supranuclear palsy, multiple system atrophy and Parkinson’s disease There 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). Brief 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). Thus, 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. In 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. We assessed between-group differences for MMSE, MoCA, and their subitems and calculated receiver operating characteristic (ROC) curves. Our 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. These 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. Chapter 4: Prospective assessment of cognitive dysfunctions in parkinsonian disorders 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). Furthermore, 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). Based 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. Our 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. Demographic 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. I 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. Assessing 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 having had similar baseline severity of MCI. Overall, these results suggest more rapid and severe cognitive decline in PSP while MSA patients generally have milder deficits. MoCA showed higher sensitivity than MMSE in detecting cognitive changes, especially in PSP. But MoCA was less sensitive than MMSE in detecting cognitive decline at 15-month in PD, suggesting that MMSE is better if one wants to track cognitive changes in PD. Neuropsychiatric features are more common in PSP than PD patients, especially apathy with accompanying low levels of anxiety and depression. Lastly, analysis of subitems revealed that PSP patients had a ‘clinically significant’ worsening after 15-month in the attentive/executive subitems (Trial Making Test part B and Clock drawing). But it has been observed that some patients also improved in specific subtasks at the follow-up. This improvement could be related to their higher medication dose (although the dopaminergic treatment was not significantly different between the baseline and follow-up). However, noteworthy alterations in performance have been seen for subitems sensitive to motor conditions (such as drawing figures and linking circles with a pen), which could affect cognitive outcome, leading to higher performance at follow-up. These limits of MoCA and MMSE scale have already been reported in PD patients (Biundo et al., 2016b; Hu et al., 2014), and maybe are more pronounced in atypical parkinsonisms. Taken together, these findings show that PSP patients were markedly impaired in comparison to the other parkinsonian disorders (MSA and PD) and six years after first symptoms, 33 percent of patients have dementia. This severe progression is possibly associated with the distribution of tau pathology that involves also cortical structures. On the contrary, the pattern of cognitive impairment in MSA is less severe, possibly due to the predominance of subcortical pathology with cortical involvement occurring only secondary to these abnormalities. Thus, these findings recommend using cognitive assessment to help differential diagnosis in atypical parkinsonisms, and to monitor disease progression. PART III - Neuroimaging studies of synucleinopathies Chapter 5: Amyloid depositions affect cognitive and motor manifestations in Parkinson’s disease Cognitive deficits, particularly executive problems, can be observed early in PD (Aarsland, Bronnick, Larsen, Tysnes, & Alves, 2009). Dysfunction of the frontostriatal dopaminergic system may influence the presence of executive and attention problems (Bruck, Aalto, Nurmi, Bergman, & Rinne, 2005), but so far, evidence from dopamine transporter (DAT) imaging are inconsistent (Delgado-Alvarado, Gago, Navalpotro-Gomez, Jimenez-Urbieta, & Rodriguez-Oroz, 2016). In this regard, the neuropathology underlying cognitive impairment in PD is heterogeneous (Irwin, Lee, & Trojanowski, 2013; Kehagia, Barker, & Robbins, 2010) and amyloid deposit involvement with synuclein pathology remains poorly defined, particularly in the disease’s early stages. Thus, this study’s aims were to investigate the interplay between amyloid depositions in frontostriatal pathways, striatal dopaminergic deficit and brain atrophy rates; and their contribution to cognitive defects (i.e., fronto-executive functions) in early-PD. A multicenter cohort of 33 PD patients from the Parkinson's Progression Markers Initiative underwent [18F]florbetaben positron emission tomography (PET) amyloid, [123I]FP-CIT (see Abbreviations List) single-photon emission computed tomography (SPECT), structural magnetic resonance imaging (MRI), clinical and selective cognitive evaluations. Our results showed that high amyloid levels were associated with reduced dopaminergic deficits in the dorsal striatum (as compared to low amyloid levels), increased brain atrophy in frontal and occipital regions and a tendency to show more frequent cognitive impairment in global cognition (as assessed by MoCA) and fronto-executive tests. Of note, amyloid depositions in frontostriatal regions were inversely correlated with cognitive performance. Overall, our findings suggest that early-PD patients with amyloid burden have higher brain atrophy rates and may experience more cognitive dysfunctions (i.e., executive) and motor impairment as compared to amyloid negative subjects. In this regard, our results seem to be aligned with a recent neuropathological hypothesis that considers synaptic axonal damage and dysfunction as the PD key feature (Tagliaferro & Burke, 2016). Indeed, dopaminergic system neurons are particularly vulnerable to synuclein pathology due to their axonal characteristics — long, thin and unmyelinated. This is also confirmed by imaging studies with DAT-binding PET (Caminiti et al., 2017), suggesting that synuclein aggregations in PD can affect synaptic function, and thus signal transmission from the disease’s very early stages. Our findings suggested a possible interaction between synuclein and the coincident amyloid pathology, wherein amyloid burden may facilitate the spread of synuclein (i.e., Lewy bodies) (Toledo et al., 2016), and we speculate that this interaction can further contribute to axonal vulnerability. Thus, consistently with this hypothesis, we conclude that possibly amyloid depositions act synergistically with synuclein pathology and affect PD clinical manifestations. Chapter 6: Brain structural profile of multiple system atrophy patients with cognitive impairment In contrast to other synucleinopathies (e.g., PD and DLB), presence of dementia is considered a non-supporting feature for MSA diagnosis (Gilman et al., 2008), however there is growing evidence that MSA patients can experience cognitive impairment ranging from executive dysfunctions to multiple-domain cognitive deficits, and in a few cases, also dementia (Gerstenecker, 2017). MMSE is a commonly used global cognitive scale and recently a large multicenter study has suggested using a cutoff score below 27 to increase the MMSE sensitivity in identifying cognitive dysfunctions in MSA (Auzou et al., 2015). Underlying mechanisms of cognitive impairment in MSA are still not understood, and in this regard evidence from MRI studies suggested a discrete cortical and subcortical contribution to explain cognitive deficits (Kim et al., 2015; Lee et al., 2016a), even though these findings were based on a relatively small number of patients at various disease stages as well as being single-center. Thus, the aim of our multicenter study was to better characterize the anatomical changes associated with cognitive impairment in MSA and to further investigate the cortical and subcortical structural differences in comparison to a sample of healthy subjects. We examined retrospectively 72 probable MSA patients and based on the MMSE threshold below 27, we defined 50 MSA as cognitively normal (MSA-NC) and 22 with cognitive impairment (MSA-CI). We directly compared the MSA subgroup, and further compared them to 36 healthy subjects using gray- and white-matter voxel-based morphometry and fully automated subcortical segmentation. Compared to healthy subjects, MSA patients showed widespread cortical (i.e., bilateral frontal, occipito-temporal, and parietal areas), subcortical, and white matter alterations. However, the direct comparison MSA-CI showed only focal volume reduction in the left dorsolateral prefrontal cortex compared with MSA-NC. These findings suggest only a marginal contribution of cortical pathology to cognitive deficits in MSA. Hence, we suggest that cognitive alterations are driven by focal frontostriatal degeneration that is in line with the concept of ‘subcortical cognitive impairment’.La presente tesi è formata da tre parti principali: la prima teorica mentre le due seguenti sono sperimentali. La prima parte, composta di due capitoli, introdurrà le caratteristiche cliniche e neuropatologiche sottostanti ai disturbi parkinsoniani, in particolare nella malattia di Parkinson (PD) e nei parkinsonismi atipici — atrofia multisistemica (MSA) e paralisi progressiva sopranucleare (PSP) (Capitolo 1). Nello specifico, PD ed MSA sono definite come sinucleinopatie per la presenza di aggregati di sinucleina, mentre la PSP che è caratterizzata dall’accumulo di proteina tau rientra a far parte delle tauopatie. Invece, il Capitolo 2 fornirà una panoramica delle disfunzioni cognitive che caratterizzano questi disturbi e fornirà inoltre evidenze circa i meccanismi biologici e i cambiamenti strutturali che sono alla base delle alterazioni cognitive. Nella seconda e la terza parte sono riportati alcuni studi che ho condotto durante il dottorato di ricerca. In particolare, nel Capitolo 3 riporto i risultati dei miei studi sugli strumenti di screening cognitivo più sensibili nel rilevare alterazioni cognitive nei parkinsonismi atipici rispetto ai pazienti con PD. Nel successivo studio invece ho investigato la progressione del declino cognitivo in questi disturbi (Capitolo 4). Infine, ho investigato con studi di risonanza magnetica i cambiamenti strutturali che sottendono le alterazioni cognitive nel PD (Capitolo 5) e nella MSA (Capitolo 6). Seguiranno le conclusioni generali, in cui discuto le conseguenze cliniche dei risultati ottenuti negli studi cognitivi e di imaging (Capitolo 7). PARTE I – Background teorico Capitolo 1: I disturbi parkinsoniani I disturbi parkinsoniani sono caratterizzati da una diversa patologia sottostante. Nel PD ed MSA ci sono aggregati di sinucleina rispettivamente nei neuroni dopaminergici o nelle cellule gliali, mentre i pazienti con PSP presentano delle aggregazioni di proteina tau che determina la formazione di ammassi neurofibrillari (Daniel, de Bruin, & Lees, 1995; Dickson, 1999). Le manifestazioni cliniche dipendono dalle caratteristiche di aggregati proteici e dall’entità di diffusione della malattia nelle regioni corticali e sottocorticali (Halliday, Holton, Revesz, & Dickson, 2011). Quindi, il presente capitolo illustrerà la patologia sottostante nel PD, MSA e PSP, saranno poi descritte le diverse caratteristiche cliniche ed infine, saranno presentati i più recenti criteri diagnostici di questi disturbi (e.g., Gelb, Oliver, & Gilman, 1999; Gilman et al., 2008; Höglinger et al., 2017). Capitolo 2: Caratteristiche cognitive e i sottostanti meccanismi nei disturbi parkinsoniani I sintomi non-motori rappresentano una parte cruciale dello spettro dei disturbi parkinsoniani, in particolare le disfunzioni cognitive, inclusa la demenza, sono probabilmente tra i sintomi non-motori più rilevanti, in quanto influenzano l'autonomia funzionale dei pazienti, incrementano il carico di gestione del caregiver ed hanno un notevole impatto socioeconomico (Keranen et al., 2003; McCrone et al., 2011; Vossius, Larsen, Janvin, & Aarsland, 2011). La prima parte di questo capitolo fornirà una panoramica sulle disfunzioni cognitive nel PD, MSA e PSP. Saranno inoltre riportati i criteri clinici per la diagnosi di declino cognitivo lieve e di demenza nel PD (Dubois et al., 2007; Emre et al., 2007; Litvan et al., 2012), al contrario invece non esistono al momento criteri disponibili per valutare le sindromi cognitive in PSP e MSA. Infine, la seconda e la terza parte di questo capitolo forniranno evidenze sui meccanismi biologici e sui cambiamenti strutturali sottostanti alle alterazioni cognitive in questi disturbi. PARTE II - Studi sulle manifestazioni cognitive nei disturbi parkinsoniani Capitolo 3: Performance al Montreal Cognitive Assessment e Mini-Mental State Examination nella paralisi sopranucleare progresiva, atrofia multisistemica e malattia di Parkinson Vi è un generale consenso nel riconoscere che le alterazioni cognitive siano frequenti nei PD e negli altri disturbi parkinsoniani (Aarsland et al., 2017; Brown et al., 2010; Gerstenecker, 2017). Pertanto, nella pratica clinica possono essere adottate delle scale brevi di screening cognitivo, per supportare il clinico nel processo diagnostico (Marras, Troster, Kulisevsky, & Stebbins, 2014). Il Mini-Men

One-year into COVID-19 pandemic: Decision-making and mental-health outcomes and their risk factors

The COVID-19 pandemic represents an unprecedented worldwide crisis with serious socioeconomic, physical and mental health consequences. However, its long-lasting effects on both mental health and decision-making difficulties remain unexplored. This study aimed to determine the prevalence and severity of psychological disorders in Italy's populace one-year after the outbreak; further, we investigated potential risks impacting mental health and decision-making