This thesis characterises the cortical pattern of degeneration in progressive supranuclear palsy (PSP) and its consequences. Global atrophy was first examined using a recently developed staging scheme in pathologically-proven PSP cases compared with other tauopathies: gross atrophy was not observed in PSP. Quantification of regional volume loss throughout the brain was then used to determine the magnitude of more focal tissue atrophy in PSP, cortical dysfunction was investigated by measuring cerebral blood flow (CBF) changes, and several cortical cellular pathologies were analysed. Any changes observed were related to each other and clinical assessments of motor, cognitive and behavioural abnormalities. At mid-stage PSP, frontal and subcortical atrophy related to decreased CBF in the frontal cortex and cognitive decline. Parietocerebellar CBF increases were also identified (related to frontal CBF deficits) and related to motor and non-motor deficits. By end-stage PSP, focal atrophy had advanced from frontal and subcortical structures to include atrophy in the parietal lobe. Parietal lobe atrophy related to behavioural abnormalities. Histopathological analysis at end-stage revealed that the cortical atrophy and cell loss does not relate to tau deposition. The focal cortical cell loss related exclusively to motor deficits whilst the more widespread cortical tau deposition related to cognitive and behavioural impairments. Both the tau deposition and these non-motor impairments increased in severity over time. The results show that frontal atrophy and dysfunction occurs rapidly and early in PSP and relate to increasing cognitive deficits. Such deficits appear to cause compensatory CBF enhancement in parietocerebellar regions which then also undergo rapid and severe neurodegeneration. These later changes occur in concert with the more classic PSP symptoms, such as oculomotor features. Throughout the disease, the progressive increase in frontotemporal tau deposition contributes to cognitive and behavioural deficits which become most marked late in the disease. The findings strongly suggest that progressive clinical dysfunction in PSP is directly related to progressive cortical degeneration. Cortical degeneration appears to occur in two independent functional networks. Increased CBF in PSP may be a useful early indicator for future neurodegeneration, although the cellular mechanism leading to cell death requires further investigation.

The primary tauopathies are a group of neurodegenerative diseases affecting movement and cognition. In this thesis I study Progressive Supranuclear Palsy (PSP) and the Corticobasal Syndrome (CBS), two parkinsonian disorders associated with accumulation of hyperphos- phorylated and abnormally folded tau protein. I contrast these two disorders with Parkinson’s disease (PD), which is associated with the accumulation of alpha-synuclein but has a genetic association with the MAPT gene encoding tau. Understanding the tauopathies to develop effective treatments will require a better grasp of the relationships between clinical syndromes and cognitive measures and how the anatomical and neurochemical networks that underlie clinical features might be altered by disease. I investigate simple clinical biomarkers, showing that a two-minute test of verbal fluency is a potential diagnostic biomarker to distinguish between PD and PSP and that the ACE-R and its subscores could play a role in monitoring cognition over time in PD, PSP and CBS. I assess the implementation of network analysis in Functional Mag- netic Resonance Imaging (fMRI) data, introduce Maybrain software for graphical network analysis and visualisation. I go on to show an overlap between graph theory network measures and I identify three main factors underlying graph network measures of: efficiency and distance, hub characteristics, network community measures. I apply these measures in PD, PSP and the CBS. All three diseases caused a loss of functional connectivity in com- parison to the control group that was concentrated in more highly connected brain regions and in longer distance connections. In ad- dition, widely localised cognitive function of verbal fluency co-varied with the connection strength in highly connected regions across PD, PSP and CBS. To take this further, I investigated specific functional covariance networks. All three disease groups showed reduced connectivity between the basal ganglia network and other networks, and between the anterior salience network and other networks. Localised areas of increased co- variance suggest a breakdown of network boundaries which correlated with motor severity in PSP and CBS, and duration of disease in CBS. I explore the link between gene expression of the tau gene MAPT and its effects on functional connectivity showing that the expression of MAPT correlated with connection strength in highly connected hub regions that were more susceptible to a loss of connection strength in PD and PSP. I conclude by discussing how tau protein aggregates and soluble tau oligomers may explain the changes in functional brain networks. The primary tauopathies are a group of neurodegenerative diseases affecting movement and cognition. In this thesis I study Progressive Supranuclear Palsy (PSP) and the Corticobasal Syndrome (CBS), two parkinsonian disorders associated with accumulation of hyperphos- phorylated and abnormally folded tau protein. I contrast these two disorders with Parkinson’s disease (PD), which is associated with the accumulation of alpha-synuclein but has a genetic association with the MAPT gene encoding tau. Understanding the tauopathies to develop effective treatments will require a better grasp of the relationships between clinical syndromes and cognitive measures and how the anatomical and neurochemical networks that underlie clinical features might be altered by disease. I investigate simple clinical biomarkers, showing that a two-minute test of verbal fluency is a potential diagnostic biomarker to distinguish between PD and PSP and that the ACE-R and its subscores could play a role in monitoring cognition over time in PD, PSP and CBS. I assess the implementation of network analysis in Functional Mag- netic Resonance Imaging (fMRI) data, introduce Maybrain software for graphical network analysis and visualisation. I go on to show an overlap between graph theory network measures and I identify three main factors underlying graph network measures of: efficiency and distance, hub characteristics, network community measures. I apply these measures in PD, PSP and the CBS. All three diseases caused a loss of functional connectivity in com- parison to the control group that was concentrated in more highly connected brain regions and in longer distance connections. In ad- dition, widely localised cognitive function of verbal fluency co-varied with the connection strength in highly connected regions across PD, PSP and CBS. To take this further, I investigated specific functional covariance networks. All three disease groups showed reduced connectivity between the basal ganglia network and other networks, and between the anterior salience network and other networks. Localised areas of increased co- variance suggest a breakdown of network boundaries which correlated with motor severity in PSP and CBS, and duration of disease in CBS. I explore the link between gene expression of the tau gene MAPT and its effects on functional connectivity showing that the expression of MAPT correlated with connection strength in highly connected hub regions that were more susceptible to a loss of connection strength in PD and PSP. I conclude by discussing how tau protein aggregates and soluble tau oligomers may explain the changes in functional brain networks.

Background: Idiopathic parkinsonism is a neurodegenerative syndrome of unknown cause and includes Parkinson’s disease (PD) and atypical parkinsonian disorders. The atypical parkinsonian disorders are: Multiple system atrophy (MSA), progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD). The incidence rates of these diseases in Sweden are largely unknown. The diagnosis of each disease relies mainly on clinical examination although several imaging and laboratory parameters may show changes. A diagnosis based on clinical examination is especially difficult early in the course of each disease; diagnosis is easier later on when disease-charactersistic signs have evolved and become more prominent. However, even in later stages it is not uncommon that patients are misdiagnosed. PD can be divided into subgroups based on the main clinical symptoms, i. e. tremor dominant, postural instability and gait difficulty (PIGD), and indeterminate. The PIGD subtype has worse prognosis including higher risk of dementia. The aims were to study the incidence of idiopathic parkinsonism and the different specific parkinsonian disorders in the Umeåregion and to investigate the patients early in the course of the disease with brainmagnetic resonance tomography (MRI), external anal sphincterelectromyography (EAS-EMG) and oculomotor examination. Can these methods improve the differential diagnostic work-up and/or differentiate between the subtypes of PD? Methods: We examined all patients in our catchment area (142,000 inhabitants) who were referred to us due to a suspected parkinsonian syndrome. Our clinic is the only clinic in the area receiving referrals regarding movement disorders. During the period (January 1, 2004 through April 30,2009) 190 patients fulfilled the inclusion criteria and were included in the study. Healthy volunteers served as controls.  Results: Incidence: We found the highest incidences reported in the literature: PD (22.5/100,000/year), MSA(2.4/100,000/year), and PSP (1.2/100,000/year). No CBD patients were encountered. Brain MRI: Degenerative changes were common both in controls and PD. There were no differences between the PD subtypes. EAS-EMG: Pathological changes in EAS-EMG examination were common in PD, MSA and PSP. It was not possible to separate PD, MSA and PSP by the EAS-EMG examination. Oculomotor examination: Pathological results were common in all diagnosis groups compared to controls. It was not possible to separate PD, MSA and PSP or the PD subtypes with the help of oculomotor examination. Conclusions: The incidences of idiopathic parkinsonism, PD, MSA and PSP were higher than previously reported in the literature. It is not clear weather this is due to a true higher incidence in the Umeå region or a more effective casefinding than in other studies. MRI, EAS-EMG and oculomotor examination could not contribute to the differential diagnostic work-up between PD, MSA and PSP nor differentiate between PD subtypes early in the course of the disease.

nÃo hà / Este trabalho consiste de dois estudos: o primeiro estudo avalia o papel da morfometria por ressonÃncia magnÃtica (RM) no diagnÃstico diferencial das sÃndromes parkinsonianas; o segundo avalia as alteraÃÃes do sono nessas sÃndromes e suas relaÃÃes com alteraÃÃes estruturais na RM. Nas fases iniciais da doenÃa o diagnÃstico diferencial entre as sÃndromes parkinsonianas pode ser de difÃcil realizaÃÃo. As medidas por RM podem contribuir para o diagnÃstico diferencial entre a doenÃa Parkinson (DP), paralisia supranuclear progressiva (PSP) e atrofia de mÃltiplos sistemas (AMS). O objetivo do primeiro estudo foi avaliar o valor diagnÃstico das alteraÃÃes anatÃmicas estruturais identificadas pela RM no diagnÃstico diferencial dessas sÃndromes. Foram estudados 21 casos com DP, 11 casos com atrofia de mÃltiplos sistemas forma cerebelar (AMS-c), 8 casos de atrofia de mÃltiplos sistemas forma parkinsoniana (AMS-p) e 20 com PSP. A Ãrea sagital mediana do mesencÃfalo (Ams), Ãrea sagital mediana da ponte (Apn), largura mÃdia do pedÃnculo cerebelar mÃdio (PCM) e pedÃnculo cerebelar superior (PCS) foram medidas pela RM. ComparaÃÃes mÃltiplas foram realizadas entre a PD, AMS-c, AMS-p e PSP. A morfometria da Apn, PCM e PCS apresentaram diferenÃas entre os casos com diferentes diagnÃsticos. A Ams e a morfometria do PCS foram as medidas mais preditivas para o diagnÃstico de PSP, de tal forma que uma Ãrea do mesencÃfalo < 105 mm2 e a medida do PCS < 3 mm mostraram uma grande probabilidade para este diagnÃstico (sensibilidade de 95,0 e 80,0%, respectivamente). Nos casos de AMS-c, a morfometria da Apn < 315mm2 apresentou boa especificidade e valor preditivo positivo para o diagnÃstico (93,8% e 72,7%, respectivamente). Em conclusÃo, demonstramos que dimensÃes e valores de cortes obtidos a partir de exames de RM podem diferenciar entre PD, PSP e AMS-c, com boa sensibilidade, especificidade e precisÃo. Na segunda etapa desse trabalho, foram avaliados e comparados os distÃrbios do sono em pacientes com DP, AMS e PSP e as possÃveis associaÃÃes com a morfometria por RM do encÃfalo em 16 casos de DP, 13 AMS, 14 PSP e 12 controles. Os distÃrbios do sono foram avaliados pela escala de SonolÃncia de Epworth, Ãndice de Qualidade do sono de Pittsburgh (IQSP), escala de pernas inquietas e questionÃrio de Berlim. A Apn e Ams e largura do PCS e do PCM foram medidas pela RM. A mà qualidade do sono, o risco da sÃndrome da apnÃia obstrutiva do sono (SAOS) e sÃndrome das pernas inquietas (SPI) foi detectado em todos os grupos. Pacientes com AMS apresentaram maior risco de SAOS e menor nÃmero de casos com SPI. Nos casos de AMS, uma correlaÃÃo entre os escores do IQSP e o estÃgio do Hoehn & Yahr foi observada (p<0,05). Na PSP, a SPI foi freqÃente (57%) e relacionou-se com a menor duraÃÃo e pior eficiÃncia do sono. Na DP, sonolÃncia diurna excessiva relacionou-se com a atrofia do PCM (p=0,01). Em conclusÃo, o alto risco de SAOS foi comum e proeminente nos casos de AMS. SPI foi mais freqÃente na DP e na PSP. Nos casos com PSP, a SPI associou-se com uma reduÃÃo da eficiÃncia e duraÃÃo do sono; e nos pacientes com DP e sonolÃncia excessiva diurna apresentaram maior atrofia do PCM (DP com sonolÃncia excessiva diurna PCM= 16,08Â0,93; DP sem sonolÃncia excessiva diurna PCM =17,82 0,80 p=0,01), sugerindo degeneraÃÃo de estruturas do tronco cerebral nesses pacientes. / We describe two studies, as follows: one concerns the role of cerebral morphometry as evaluated by magnetic resonance imaging (MRI) in the differential diagnosis of the parkinsonian syndromes; the other is about sleep alterations and the relationship with MRI changes in these syndromes. MRI measures can be useful for differential diagnosis between Parkinson disease (PD), progressive supranuclear palsy (PSP) and multiple system atrophy (MSA). The aim of this study was to evaluate the diagnostic value of structural anatomic changes identified by MRI in the differential diagnosis of these syndromes. We studied 21 cases with PD, 11 with MSA-c, 8 with MSA-p, 20 with PSP and 12 controls. Midbrain area (Ams), Pons area (Apn), middle cerebellar peduncle (MCP) and superior cerebellar peduncle (SCP) width were measured using MRI. Multiple comparisons were made between PD, MSA-p, MSA-c and PSP and we show that Apn, MCP and SCP width morphometry dimensions have clear cut differences in these syndromes. The Ams and SCP were the most predictive measures of PSP. A Midbrain area below 105 mm2 and SCP less than 3 mm showed a major probability for this diagnosis (sensitivity of 95.0 and 80.0%, respectively). For the group of MSA-c patients, an Apn area below 315mm2 showed good specificity and positive predictive value (93.8% and 72.7%, respectively). In conclusion, we demonstrate that dimensions and cut off values obtained from routine MRI can differentiate between PD, PSP and MSA-c with good sensitivity, specificity and accuracy. Despite common reports in PD, in other parkinsonian syndromes, sleep disturbances have been less frequently described. We compare sleep disturbances in patients with PD, MSA and PSP and analyze associations with brain MRI morphometry. This was a cross-sectional study of 16 PD cases, 13 MSA and 14 PSP. Sleep disturbances were evaluated by Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index (PSQI), Restless Legs Scale and Berlin questionnaire. Apn, Ams, MCP width, and SCP width were measured using MRI. Poor quality sleep, risk of obstructive sleep apnea (OSA) and restless legs syndrome (RLS) were detected in all groups. Patients with MSA showed higher risk of OSA and less frequent RLS. In MSA, a correlation between PSQI scores and Hoehn and Yahr stage was observed (p<0.05). In PSP, RLS was frequent (57%) and related with reduced sleep duration and efficiency. In PD, excessive daytime sleepiness was related to atrophy of the MCP (p= 0.01). High risk of OSA was common and prominent in MSA cases. RLS was more frequent in PD and PSP, and in PSP, was associated with reduced sleep efficiency and sleep duration. In conclusion, the morphometric analysis of PD patients with excessive daytime sleepiness showed more atrophy of MCP (PD with excessive daytime sleepiness MCP= 16.08Â0.93; PD without excessive daytime sleepiness MCP=17.82Â0.80 p= 0.01) suggesting widespread degeneration of brainstem sleep structures on the basis of sleep abnormalities in these patients.

The thesis investigated objective neuroimaging biomarkers in parkinsonian syndromes, which could be applied to increase diagnostic accuracy. To find convergence of the literature concerning disease-specific patterns in Parkinson’s disease and progressive supranuclear palsy, we conducted meta-analyses. In Parkinson’s disease glucose hypometabolism was re- vealed in bilateral inferior parietal cortex and left caudate nucleus and focal gray matter atrophy in the middle occipital gyrus. In progressive supranu- clear palsy we identified gray matter atrophy in the midbrain and white mat- ter atrophy in the cerebral/cerebellar pedunculi and midbrain. In sum, in Parkinson’s disease hypometabolism outperforms atrophy and in progres- sive supranuclear palsy we validated pathognomonic markers as disease- specific. Our studies create a novel framework to investigate disease- specific regional alterations for use in clinical routine. Further, we inves- tigated neural correlates by voxel-based morphometry and discriminated disease and clinical syndrome by multivariate pattern recognition in sin- gle patients with corticobasal syndrome and corticobasal syndrome with a unique syndrome - alien/ anarchic limb phenomenon. We found gray matter volume differences between patients and controls in asymmetric frontotem- poral/ occipital regions, motor areas, and insulae. The frontoparietal gyrus including the supplementary motor area contralateral to the side of the af- fected limb was specific for alien/ anarchic limb phenomenon. The predic- tion of the disease among controls was 79.0% accurate. The prediction of the specific syndrome within a disease reached an accuracy of 81.3%. In conclusion, we reliably classified patients and controls by objective pattern recognition. Moreover, we were able to predict a specific clinical syndrome within a disease, paving the way to individualized disease prediction.:SELBSTSTÄNDIGKEITSERKLÄRUNG I ACKNOWLEDGMENTS II SUMMARY III ZUSAMMENFASSUNG VIII BIBLIOGRAPHISCHE DARSTELLUNG XIV CONTENTS XVI 1 GENERAL INTRODUCTION 1 1.1 ParkinsonianSyndromes .................... 2 1.2 Parkinson’sDisease ....................... 2 1.2.1 DiagnosticCriteria .................... 3 1.3 ProgressiveSupranuclearPalsy ................ 4 1.3.1 DiagnosticCriteria .................... 5 1.4 CorticobasalDegeneration ................... 5 1.4.1 DiagnosticCriteria .................... 7 1.5 ImagingBiomarkers ....................... 7 1.6 CurrentThesis .......................... 9 1.6.1 MotivationandFramework ............... 9 1.6.2 ResearchQuestions................... 9 2 GENERAL MATERIALS AND METHODS 12 2.1 MagneticResonanceImaging.................. 12 2.2 AnalyticalMethods........................ 13 2.2.1 Meta-Analysis ...................... 13 2.2.2 Voxel-BasedMorphometry ............... 14 2.2.3 Support-Vector Machine Classification . . . . . . . . . 15 2.3 Multi-CentricData ........................ 16 2.4 ClinicalAssessment ....................... 17 3 Study 1 4 Study 2 5 Study 3 6 Study 4 7 Study 5 8 DISCUSSION 73 8.1 MainFindings........................... 73 8.2 Statistical Approaches to Find Imaging Biomarker . . . . . . 76 8.3 Brain Alterations and their Utility as Imaging Biomarker . . . . 77 8.4 Limitations ............................ 78 8.5 Contributions of the Current Thesis and Future Directions . . 79 9 REFERENCES APPENDIX XVIII LIST OF AUTHORSHIP XXVII CURRICULUM VITÆ XXXVIII

京都大学 / 0048 / 新制・論文博士 / 博士(医学) / 乙第13220号 / 論医博第2167号 / 新制||医||1033(附属図書館) / (主査)教授 高橋 淳, 教授 宮本 享, 教授 伊佐 正 / 学位規則第4条第2項該当 / Doctor of Medical Science / Kyoto University / DFAM

Objectives: Autoradiography on brain tissue is used to validate binding targets of newly discovered radiotracers. The purpose of this study was to correlate quantification of autoradiography signal using the novel next-generation tau positron emission tomography (PET) radiotracer [18F]PI-2620 with immunohistochemically determined tau-protein load in both formalin-fixed paraffin-embedded (FFPE) and frozen tissue samples of patients with Alzheimer’s disease (AD) and Progressive Supranuclear Palsy (PSP). Methods: We applied [18F]PI-2620 autoradiography to postmortem cortical brain samples of six patients with AD, five patients with PSP and five healthy controls, respectively. Binding intensity was compared between both tissue types and different disease entities. Autoradiography signal quantification (CWMR = cortex to white matter ratio) was correlated with the immunohistochemically assessed tau load (AT8-staining, %-area) for FFPE and frozen tissue samples in the different disease entities. Results: In AD tissue, relative cortical tracer binding was higher in frozen samples when compared to FFPE samples (CWMRfrozen vs. CWMRFFPE: 2.5-fold, p < 0.001), whereas the opposite was observed in PSP tissue (CWMRfrozen vs. CWMRFFPE: 0.8-fold, p = 0.004). In FFPE samples, [18F]PI-2620 autoradiography tracer binding and immunohistochemical tau load correlated significantly for both PSP (R = 0.641, p < 0.001) and AD tissue (R = 0.435, p = 0.016), indicating a high agreement of relative tracer binding with underlying pathology. In frozen tissue, the correlation between autoradiography and immunohistochemistry was only present in AD (R = 0.417, p = 0.014) but not in PSP tissue (R = −0.115, p = n.s.). Conclusion: Our head-to-head comparison indicates that FFPE samples show superiority over frozen samples for autoradiography assessment of PSP tau pathology by [18F]PI-2620. The [18F]PI-2620 autoradiography signal in FFPE samples reflects AT8 positive tau in samples of both PSP and AD patients.

Background: Single photon emission computed tomography (SPECT) with dopamine transporter (DAT) and dopamine D2 receptor (D2R) ligands can visualise the integrity of the nigrostriatal dopamine system. Parkinson’s disease (PD) and the atypical parkinsonian diseases (APD), progressive supranuclear palsy (PSP) and multiple system atrophy (MSA), have similar symptoms and dopamine depletion, but differ in pharmacological response and prognosis. Clinical differentiation between PD and APD is often difficult in the early stages. The aims of the thesis were to evaluate the differential diagnostic and prognostic value of SPECT in early PD, MSA and PSP, to map the pattern of progression with dopamine SPECT, and map the pattern of dopamine SPECT in non-affected elderly volunteers with a prospective approach. Also, we evaluated the methodological aspects of dopamine SPECT with respect to image evaluation tools, reconstruction parameters and gamma cameras. Methods: 172 patients, included in an on-going clinical prospective study on idiopathic parkinsonism, participated in the SPECT study. Also, 31 age-matched healthy controls (HC) were followed within this study. SPECT was done with 123I-FP-Cit (DAT SPECT) and 123I-IBZM (D2R SPECT). Regions of interest (ROI) were used as a standard method for semi-quantitative image analysis. Results: SPECT uptake ratios from different gamma cameras could be equalised through correction equations derived from images of a brain-like phantom, provided that attenuation correction was applied. The ROI method had high reproducibility. SPECT uptake  in HC, measured with the ROI method and a volume based (VOI) method rendered similar trends, but gender and age differences in SPECT uptake were more marked with the VOI method, and less pronounced in DAT SPECT compared to D2R SPECT with both methods. The DAT SPECT uptake was significantly reduced in very early disease stage of PD and APD compared to HC. DATSPECT uptake was more reduced in PD with postural and gait disturbance (PIGD) compared to tremor-dominant PD. Decline in DAT SPECT uptake during the first year was more pronounced in PD and PSP compared to HC. D2R SPECT uptake overlapped between untreated PD and APD. After initiated treatment, the D2R SPECT uptake was significantly higher in MSA patients compared to PD, PSP and HC. Decline in D2R SPECT uptake during the first year was not significantly different between patients or compared to HC. Conclusions: 123I-FP-Cit SPECT is a valuable and sensitive method to detect early stage idiopathic parkinsonism. A different level of uptake between PIGD-PD compared to TD-PD indicates a prognostic potential. It is not possible to differ between PD, MSA and PSP in early stage with 123I-FP-Cit SPECT and no differential diagnostic value was found using 123I-IBZM SPECT in the early, untreated stage of PD, MSA and PSP. A different pattern of uptake of this ligand in MSA compared to PD and PSP during the first years of L-dopa treatment may, however, indicate a diagnostic value during the follow-up period.

The dementias are persistent or progressive disorders affecting more than one cognitive domain that interfere with an individual’s ability to function at work or home, and represent a decline from a previous level of function. In this thesis I consider the neurophysiology of dementia at a number of levels. I investigate the ways in which the connectivity and function of the brain predisposes to the specific focal patterns of neurodegeneration seen in the various dementias. I aim to identify the mesoscopic changes that occur in individuals with neurodegeneration and how these relate to their cognitive difficulties. I show how, by assessing patients in whom there is focal disruption of brain networks and observing the outcomes in comparison to controls, I can gain insight into the mechanisms by which the normal brain makes predictions and processes language. In Chapter 1, I set the scene for the focussed experimental investigations of model diseases by beginning with an introductory, clinically-focussed review that sets out the features, aetiology, management, epidemiology and prognosis of the dementias. This places these model diseases in the context of the broader clinical challenge posed by the dementias. In Chapter 2, I turn to ‘prototypical’ model diseases that represent neurodegenerative tauopathies with predominantly cortical (Alzheimer’s disease, AD) and subcortical (Progressive Supranuclear Palsy, PSP) disease burdens. I investigate the neurophysiological causes and consequences of Tau accumulation by combining graph theoretical analyses of resting state functional MR imaging and in vivo ‘Tau’ PET imaging using the ligand AV-1451. By relating Tau distribution to the functional connectome I provide in vivo evidence consistent with ‘prion-like’ trans-neuronal spread of Tau in AD but not PSP. This provides important validation of disease modification strategies that aim to halt or slow down the progression of AD by sequestration of pathological Tau in the synapse. In contrast, I demonstrate associations consistent with regional vulnerability to Tau accumulation due to metabolic demand and a lack of trophic support in PSP but not AD. With a cross-sectional approach, using Tau burden as a surrogate marker of disease severity, I then go on to show how the changes in functional connectivity that occur as disease progresses account for the contrasting cognitive phenotypes in AD and PSP. In advancing AD, functional connectivity across the whole brain becomes increasingly random and disorganised, accounting for symptomatology across multiple cognitive domains. In advancing PSP, by contrast, disrupted cortico-subcortical and cortico-brainstem interactions meant that information transfer passed through a larger number of cortical nodes, reducing closeness centrality and eigenvector centrality, while increasing weighted degree, clustering, betweenness centrality and local efficiency. Together, this resulted in increasingly modular processing with inter-network communication taking less direct paths, accounting for the bradyphrenia characteristic of the ‘subcortical dementias’. From chapter 3 onwards, I turn to the in-depth study of a model disease called non-fluent variant Primary Progressive Aphasia (nfvPPA). This disease has a clear clinical phenotype of speech apraxia and agrammatism, associated with a focal pattern of mild atrophy in frontal lobes. Importantly, general cognition is usually well preserved until late disease. In chapter 3 itself, I relate an experiment in which patients with nfvPPA and matched controls performed a receptive language task while having their brain activity recorded with magnetoencephalography. I manipulated expectations and sensory detail to explore the role of top-down frontal contributions to predictive processes in speech perception. I demonstrate that frontal neurodegeneration led to inflexible and excessively precise predictions, and that fronto-temporal interactions play a causal role in reconciling prior predictions with degraded sensory signals. The discussion here concentrates on the insights provided by neurodegenerative disease into the normal function of the brain in processing language. Overall, I demonstrate that higher level frontal mechanisms for cognitive and behavioural flexibility make a critical functional contribution to the hierarchical generative models underlying speech perception In chapter 4, I precisely define the sequence processing and statistical learning abilities of patients with nfvPPA in comparison to patients with non-fluent aphasia due to stroke and neurological controls. I do this by exposing participants to a novel, mixed-complexity artificial grammar designed to assess processing of increasingly complex sequencing relationships, and then assessing the degree of implicit rule learning. I demonstrate that agrammatic aphasics of two different aetiologies are not disproportionately impaired on complex sequencing relationships, and that the learning of phonological and non-linguistic sequences occurs independently in health and disease. In chapter 5, I summarise the synergies between the experimental chapters, and explain how I have applied a systems identification framework to a diverse set of experimental methods, with the common goal of defining the physiology of dementia. I then return to the results of chapter 3 with a clinical focus to explain how inflexible predictions can account for subjective speech comprehension difficulties, auditory processing abnormalities and (in synthesis with chapter 4) receptive agrammatism in nfvPPA. Overall, this body of work has contributed to knowledge in several ways. It has achieved its tripartite aims by: 1) Providing in vivo evidence consistent with theoretical models of trans-neuronal Tau spread (chapter 2), and a comprehensive clinical account of the previously poorly-understood receptive symptomatology of nfvPPA (chapter 5), thus demonstrating that systems neuroscience can provide a translational bridge between the molecular biology of dementia and clinical trials of therapies and medications. In this way, I begin to disentangle the network-level causes of neurodegeneration from its consequences. 2) Providing evidence for a causal role for fronto-temporal interactions in language processing (chapter 3), and demonstrating domain separation of statistical learning between linguistic and non-linguistic sequences (chapter 4), thus demonstrating that studies of patients with neurodegenerative disease can further our understanding of normative brain function. 3) Successfully integrating neuropsychology, behavioural psychophysics, functional MRI, structural MRI, magnetoencephalography and computational modelling to provide comprehensive research training, as the platform for a future research programme in the physiology of dementia.

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