Neuroimaging biomarkers associated with clinical dysfunction in Parkinson disease

Parkinson disease (PD) is the second most common neurodegenerative disorder in the world, directly affecting 2-3% of the population over the age of 65. People diagnosed with the disorder can experience motor, autonomic, cognitive, sensory and neuropsychiatric symptoms that can significantly impact quality of life. Uncertainty still exists about the pathophysiological mechanisms that underlie a range of clinical features of the disorder, linked to structural as well as functional brain changes. This thesis thus aimed to uncover neuroimaging biomarkers associated with clinical dysfunction in PD. A 'hubs-and-spokes' neural circuit-based approach can contribute to this aim, by analysing the component elements and also the interconnections of important brain networks. This thesis focusses on structures within basal ganglia-thalamocortical neuronal circuits that are linked to a range functions impacted in the disorder, and that are vulnerable to the consequences of PD pathology. This thesis investigated neuronal 'hubs' by studying the morphology of the caudate nucleus, putamen, thalamus and neocortex. The caudate nucleus, putamen and thalamus are all vital subcortical 'hubs' that play important roles in a number of functional domains that are compromised in PD. The neocortex, on the other hand, has a range of 'hubs' spread across it, regions of the brain that are crucial for neuronal signalling and communication. The interconnections, or 'spokes', between these hubs and other brain regions were investigated using seed-based resting-state functional connectivity analyses. Finally, a morphological analysis was used to investigate possible structural changes to the corpus callosum, the major inter-hemispheric white matter tract of the brain, crucial to effective higher-order brain processes. This thesis demonstrates that the caudate nucleus, putamen, thalamus, corpus callosum and neocortex are all atrophied in PD participants with dementia. PD participants also demonstrated a significant correlation between volumes of the caudate nuclei and general cognitive functioning and speed, while putamina volumes were correlated with general motor function. Cognitively unimpaired PD participants demonstrated minimal morphological alterations compared to control participants, however they demonstrated significant increases in functional connectivity of the caudate nucleus, putamen and thalamus with areas across the frontal lobe, and decreases in functional connectivity with parietal and cerebellar regions. PD participants with mild cognitive impairment and dementia show decreased functional connectivity of the thalamus with paracingulate and posterior cingulate cortices, respectively. This thesis contributes a deeper understanding of the relationship between structures of basal ganglia-thalamocortical neuronal circuits, corpus callosal and neocortical morphology, and the clinical dysfunction associated with PD. This thesis suggests that functional connectivity changes are more common in early stages of the disorder, while morphological alterations are more pronounced in advanced disease stages

Abstracts of the XXVII Medical Academic Congress of Unicamp, CoMAU, 2018

Abstracts of the Medical Academic Congress of Unicamp (CoMAU), 2018

Deep learning of brain asymmetry digital biomarkers to support early diagnosis of cognitive decline and dementia

Early identification of degenerative processes in the human brain is essential for proper care and treatment. This may involve different instrumental diagnostic methods, including the most popular computer tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography (PET) scans. These technologies provide detailed information about the shape, size, and function of the human brain. Structural and functional cerebral changes can be detected by computational algorithms and used to diagnose dementia and its stages (amnestic early mild cognitive impairment - EMCI, Alzheimer’s Disease - AD). They can help monitor the progress of the disease. Transformation shifts in the degree of asymmetry between the left and right hemispheres illustrate the initialization or development of a pathological process in the brain. In this vein, this study proposes a new digital biomarker for the diagnosis of early dementia based on the detection of image asymmetries and crosssectional comparison of NC (normal cognitively), EMCI and AD subjects. Features of brain asymmetries extracted from MRI of the ADNI and OASIS databases are used to analyze structural brain changes and machine learning classification of the pathology. The experimental part of the study includes results of supervised machine learning algorithms and transfer learning architectures of convolutional neural networks for distinguishing between cognitively normal subjects and patients with early or progressive dementia. The proposed pipeline offers a low-cost imaging biomarker for the classification of dementia. It can be potentially helpful to other brain degenerative disorders accompanied by changes in brain asymmetries

Machine Learning for Multiclass Classification and Prediction of Alzheimer\u27s Disease

Alzheimer\u27s disease (AD) is an irreversible neurodegenerative disorder and a common form of dementia. This research aims to develop machine learning algorithms that diagnose and predict the progression of AD from multimodal heterogonous biomarkers with a focus placed on the early diagnosis. To meet this goal, several machine learning-based methods with their unique characteristics for feature extraction and automated classification, prediction, and visualization have been developed to discern subtle progression trends and predict the trajectory of disease progression. The methodology envisioned aims to enhance both the multiclass classification accuracy and prediction outcomes by effectively modeling the interplay between the multimodal biomarkers, handle the missing data challenge, and adequately extract all the relevant features that will be fed into the machine learning framework, all in order to understand the subtle changes that happen in the different stages of the disease. This research will also investigate the notion of multitasking to discover how the two processes of multiclass classification and prediction relate to one another in terms of the features they share and whether they could learn from one another for optimizing multiclass classification and prediction accuracy. This research work also delves into predicting cognitive scores of specific tests over time, using multimodal longitudinal data. The intent is to augment our prospects for analyzing the interplay between the different multimodal features used in the input space to the predicted cognitive scores. Moreover, the power of modality fusion, kernelization, and tensorization have also been investigated to efficiently extract important features hidden in the lower-dimensional feature space without being distracted by those deemed as irrelevant. With the adage that a picture is worth a thousand words, this dissertation introduces a unique color-coded visualization system with a fully integrated machine learning model for the enhanced diagnosis and prognosis of Alzheimer\u27s disease. The incentive here is to show that through visualization, the challenges imposed by both the variability and interrelatedness of the multimodal features could be overcome. Ultimately, this form of visualization via machine learning informs on the challenges faced with multiclass classification and adds insight into the decision-making process for a diagnosis and prognosis

Altération spécifique de l’interaction entre les systèmes olfactif et trigéminal dans la maladie de Parkinson

Le trouble de l’odorat est un symptôme fréquent bien connu de la Maladie de Parkinson (MP). Il apparaît plusieurs années avant la possibilité d’un diagnostic de la maladie et son étude est ainsi d’intérêt particulier pour aider au développement d’outils de dépistage précoces et la sélection de candidats pouvant participer à des essais cliniques visant le développement de traitements potentiellement curateurs. Pour ce faire, il est important de différencier un trouble de l’odorat associé à la MP d’autres troubles de l’odorat non reliés à une maladie neurodégénérative (trouble de l’odorat non-parkinsonien : TONP), tels que des troubles de l’odorat liés à une infection virale, à un traumatisme craniocérébral ou des troubles sinu-nasaux. Le système olfactif est plus complexe qu’il ne le semble et est intimement lié au système trigéminal, un système moins bien connu, qui permet, entre autres, la perception de sensations de fraicheur, chaleur et picotement des odeurs. L’interaction entre les systèmes olfactif et trigéminal est complexe et peu connue. La sensibilité trigéminale est typiquement réduite dans le cas d’un système olfactif altéré dans les TONP, mais il n’est pas bien compris comment les deux systèmes interagissent ensemble dans le cas d’un trouble de l’odorat associé à la MP. L’objectif principal de cette thèse visait donc la caractérisation du trouble de l’odorat associé à la MP lorsque spécifiquement comparé à des patients atteints de TONP. Par conséquent, cette thèse avait aussi pour objectif d’apporter une meilleure compréhension de l’interaction entre les systèmes olfactif et trigéminal dans le cas d’un système olfactif fonctionnel et d’un système olfactif altéré dans la MP et d’autres TONP. Nous avons donc d’abord évalué la sensibilité olfactive et trigéminale, sur le plan comportemental (étude 1). Cette première étude a permis d’identifier un patron de réponse spécifique dans la MP avec un système olfactif altéré et un système trigéminal intact,en comparaison à des contrôles, en contraste à une sensibilité trigéminale réduite dans les TONP. Dans le même ordre d’idée, nous avons ensuite évalué la perception des dimensions trigéminales et olfactives de différentes odeurs (étude 2). Nos résultats suggèrent que la perception de sensations trigéminales est intacte chez les patients avec la MP en contraste à la perception de dimensions olfactives qui est réduite, comparativement à des contrôles. Pour mieux comprendre l’interaction entre le système olfactif et trigéminal dans le cas d’un système olfactif fonctionnel, nous avons ensuite évalué l’impact d’un stimulus olfactif sur la capacité à latéraliser un stimulus trigéminal chez des participants contrôles (étude 3). Cette étude a démontré un effet d’amplification de la réponse trigéminale lors d’une co-stimulation olfactive ipsilatérale suggérant ainsi une interaction au niveau de l’épithélium nasal. Afin de mieux comprendre la réponse trigéminale dans la MP, nous avons évalué la sensibilité trigéminale périphérique et centrale en réponse à un stimulus trigéminal pur via des mesures électrophysiologiques (étude 4). Nous avons ainsi démontré une altération spécifique de la réponse trigéminale dans la MP comparativement à d’autres TONP et à des contrôles. Puisque le bulbe olfactif est l’une des premières régions affectées dans la MP, nous avons ensuite mesuré le volume du bulbe olfactif sur des images IRM (étude 5). Nos résultats ont démontré un volume réduit dans la MP et les TONP comparativement à des contrôles, mais aucune différence entre les patients atteints de la MP et de TONP. Néanmoins, l’utilisation de techniques d’apprentissage profond sur les images IRM du bulbe olfactif a permis de différencier les patients avec la MP des TONP avec une exactitude considérable. Enfin, nous avons étudié la connectivité fonctionnelle au sein du réseau chimiosensoriel (étude 6). Nous avons ainsi identifié des altérations spécifiques de la connectivité et la modularité des réseaux entre des régions de traitement olfactif et trigéminal au repos et lors de la réalisation d’une tâche olfactive et d’une tâche trigéminale chez des patients atteints de la MP en comparaison avec des TONP et des contrôles. En conclusion, la série d’études présentée dans cette thèse contribue à une meilleure compréhension du trouble de l’odorat associé à la MP et propose de potentielles pistes pour le différencier d’autres TONP, notamment par la mesure du système trigéminal. Cette thèse apporte une meilleure compréhension de l’interaction entre le système olfactif et trigéminal dans un système olfactif fonctionnel et de son altération dans les troubles olfactifs associés à la MP ou à d’autres TONP. La caractérisation de ce symptôme non-moteur pourra éventuellement aider au développement d’outils de dépistage précoce de la MP.Olfactory dysfunction is a highly reliable non-motor symptom of Parkinson’s disease (PD) that appears several years before the possibility of a diagnosis of the disease. Hence, its study is of particular interest to help the development of early diagnosis tools and the selection of ideal candidates to participate in clinical trials that aims to test potential neuroprotective treatments. To do so, it is important to differentiate PD-related olfactory dysfunction from other non-neurodegenerative forms of olfactory dysfunctions that can be related to infections, head trauma or sinonasal disease (non-parkinsonian olfactory dysfunction: NPOD). The olfactory system is more complex than it seems and is intimately connected to the trigeminal system, a less well-known system, that allows, amongst others, the perception of sensation of freshness, warmth, and piquancy of odors. The interaction between the olfactory and trigeminal system is complex and not well understood. Trigeminal sensitivity is typically reduced in cases of an impaired olfactory system related to NPOD; however, this is not clear how both systems interact together in PD-related olfactory dysfunction. The main objective of this thesis was to principally characterize PD-related olfactory dysfunction when specifically compared to patients with NPOD. Consequently, this thesis also aimed to bring a better understanding of the interaction between the olfactory and trigeminal system in a fully functional olfactory system as well as in alterations of the olfactory system associated with PD and other NPOD. We have thus first assessed the olfactory and trigeminal sensitivity using behavioral measures (study 1). This study allowed the identification of a specific response pattern in PD patients with an altered olfactory system and an intact trigeminal system, when compared to controls, in contrast to the reduced trigeminal sensitivity observed in NPOD. We then evaluated the perception of trigeminal and olfactory dimensions of different odors (study 2). Our results suggest that the perception of trigeminal sensations is intact in patients with PD in contrast to the perception of olfactory dimensions which is reduced when compared to control participants. To better understand the interaction between the olfactory and trigeminal systems in a functioning olfactory system, we evaluated the impact of an olfactory stimulus on the capacity to lateralize a trigeminal stimulus in healthy participants (study 3). This study has demonstrated an amplification effect of the olfactory system on the trigeminal system particularly during ipsilateral co-stimulation, suggesting an interaction at the level of the olfactory mucosa. To better understand the trigeminal response in PD patients, we further investigated the peripheral and central trigeminal sensitivity in response to a pure trigeminal stimulus by means of electrophysiological measurements (study 4). We thus demonstrated a specific alteration of the trigeminal response in PD patients when specifically compared to patients with NPOD and healthy control participants. As the olfactory bulb is one of the first regions to be affected in PD, we then measured the olfactory bulb volume on MRI scans (study 5). Our results showed reduced olfactory bulb volume in PD patients as well as in NPOD, when compared to controls, but no difference between PD and NPOD patients. Interestingly, the use of deep learning techniques on MRI scans of the olfactory bulb allowed the discrimination between PD patients and NPOD patients with considerable accuracy. Finally, we investigated the functional connectivity within the chemosensory network (study 6). We identified a specific pattern of functional connectivity and chemosensory network modularity in PD patients at resting-state and while performing an olfactory or a trigeminal task, when specifically compared to patients with NPOD and controls. In conclusion, all taken together, the studies presented in this thesis contributes to a better understanding of the PD-related olfactory dysfunction and suggest potential avenues to differentiate it from NPOD, notably through the measurement of the trigeminal system. This thesis brings further knowledge regarding the interaction between the olfactory and trigeminal systems in a functional olfactory system and its alteration in cases of an impaired olfactory system related to PD or NPOD. The characterization of this non-motor symptom of the disease will eventually help the development of early diagnostic tools for PD

The Phenomenology, Pathophysiology and Progression of the Core Features of Lewy Body Dementia

Lewy body dementias – Dementia with Lewy bodies (DLB) and Parkinson’s disease dementia (PDD) - are disabling neurodegenerative conditions defined pathologically by the presence of intraneuronal α-synuclein rich aggregates (‘Lewy bodies’ and ‘Lewy neurites’). These disorders are characterized by a set of ‘core’ clinical features, namely cognitive fluctuations, visual hallucinations, motor parkinsonism, and most recently added, REM sleep behaviour disorder. These features are central to the diagnosis of Lewy bodies dementias (especially DLB) and discriminate them from other neurodegenerative disorders. Despite decades of research, the etiopathogenesis underlying Lewy body disorders is poorly understood. This accounts for the relative lack of objective biomarkers and both symptomatic and disease modifying therapies. The present thesis comprises a series of investigations that seeks to understand the phenomenology, pathophysiology, and clinical progression of Lewy body dementias through focus on each of the core clinical features. Systematic review and empiric studies are organized under the respective headings of cognitive fluctuations, visual hallucinations, REM sleep behaviour disorder, motor features, interrelationships, and clinical progression of the core features. Novel clinical and pathophysiological insights are obtained which have implications for the prediction and diagnosis of core features, the development of new objective biomarkers, and clinical endpoints of disease progression. From these studies, a shared pathophysiological basis for the core features is postulated and potential avenues for future directions are highlighted, focusing on replication and validation of new biomarkers and clinical measures, discovery of new biomarkers and mechanisms, and translation to prodromal and patient cohorts

Cerebrovascular dysfunction in cerebral small vessel disease

INTRODUCTION: Cerebral small vessel disease (SVD) is the cause of a quarter of all ischaemic strokes and is postulated to have a role in up to half of all dementias. SVD pathophysiology remains unclear but cerebrovascular dysfunction may be important. If confirmed many licensed medications have mechanisms of action targeting vascular function, potentially enabling new treatments via drug repurposing. Knowledge is limited however, as most studies assessing cerebrovascular dysfunction are small, single centre, single imaging modality studies due to the complexities in measuring cerebrovascular dysfunctions in humans. This thesis describes the development and application of imaging techniques measuring several cerebrovascular dysfunctions to investigate SVD pathophysiology and trial medications that may improve small blood vessel function in SVD. METHODS: Participants with minor ischaemic strokes were recruited to a series of studies utilising advanced MRI techniques to measure cerebrovascular dysfunction. Specifically MRI scans measured the ability of different tissues in the brain to change blood flow in response to breathing carbon dioxide (cerebrovascular reactivity; CVR) and the flow and pulsatility through the cerebral arteries, venous sinuses and CSF spaces. A single centre observational study optimised and established feasibility of the techniques and tested associations of cerebrovascular dysfunctions with clinical and imaging phenotypes. Then a randomised pilot clinical trial tested two medications’ (cilostazol and isosorbide mononitrate) ability to improve CVR and pulsatility over a period of eight weeks. The techniques were then expanded to include imaging of blood brain barrier permeability and utilised in multi-centre studies investigating cerebrovascular dysfunction in both sporadic and monogenetic SVDs. RESULTS: Imaging protocols were feasible, consistently being completed with usable data in over 85% of participants. After correcting for the effects of age, sex and systolic blood pressure, lower CVR was associated with higher white matter hyperintensity volume, Fazekas score and perivascular space counts. Lower CVR was associated with higher pulsatility of blood flow in the superior sagittal sinus and lower CSF flow stroke volume at the foramen magnum. Cilostazol and isosorbide mononitrate increased CVR in white matter. The CVR, intra-cranial flow and pulsatility techniques, alongside blood brain barrier permeability and microstructural integrity imaging were successfully employed in a multi-centre observational study. A clinical trial assessing the effects of drugs targeting blood pressure variability is nearing completion. DISCUSSION: Cerebrovascular dysfunction in SVD has been confirmed and may play a more direct role in disease pathogenesis than previously established risk factors. Advanced imaging measures assessing cerebrovascular dysfunction are feasible in multi-centre studies and trials. Identifying drugs that improve cerebrovascular dysfunction using these techniques may be useful in selecting candidates for definitive clinical trials which require large sample sizes and long follow up periods to show improvement against outcomes of stroke and dementia incidence and cognitive function