abstract: The efficacy of deep brain stimulation (DBS) in Parkinson's disease (PD) has been convincingly demonstrated in studies that compare motor performance with and without stimulation, but characterization of performance at intermediate stimulation amplitudes has been limited. This study investigated the effects of changing DBS amplitude in order to assess dose-response characteristics, inter-subject variability, consistency of effect across outcome measures, and day-to-day variability. Eight subjects with PD and bilateral DBS systems were evaluated at their clinically determined stimulation (CDS) and at three reduced amplitude conditions: approximately 70%, 30%, and 0% of the CDS (MOD, LOW, and OFF, respectively). Overall symptom severity and performance on a battery of motor tasks - gait, postural control, single-joint flexion-extension, postural tremor, and tapping - were assessed at each condition using the motor section of the Unified Parkinson's Disease Rating Scale (UPDRS-III) and quantitative measures. Data were analyzed to determine whether subjects demonstrated a threshold response (one decrement in stimulation resulted in ≥ 70% of the maximum change) or a graded response to reduced stimulation. Day-to-day variability was assessed using the CDS data from the three testing sessions. Although the cohort as a whole demonstrated a graded response on several measures, there was high variability across subjects, with subsets exhibiting graded, threshold, or minimal responses. Some subjects experienced greater variability in their CDS performance across the three days than the change induced by reducing stimulation. For several tasks, a subset of subjects exhibited improved performance at one or more of the reduced conditions. Reducing stimulation did not affect all subjects equally, nor did it uniformly affect each subject's performance across tasks. These results indicate that altered recruitment of neural structures can differentially affect motor capabilities and demonstrate the need for clinical consideration of the effects on multiple symptoms across several days when selecting DBS parameters. / Dissertation/Thesis / Ph.D. Bioengineering 2013

The movement disorder essential tremor can be treated with deep brain stimulation (DBS), where electric current is delivered to deep brain structures through permanently implanted electrodes. In this study, brain activity during working memory performance was measured with functional magnetic resonance imaging in thirteen essential tremor patients with DBS in caudal Zona incerta, a diencephalic nucleus. With active stimulation less exertion of certain working memory areas was required to achieve the same level of performance in a manipulation and a maintenance-type working memory task. At the same time, a relatively higher activation was reached for the more demanding manipulation task. These results indicate that DBS can make the brains of tremor patients more efficient in working memory tasks, in accordance with the “efficiency hypothesis” proposed by Nyberg et al. (2014). / Rörelsestörningen essentiell tremor kan behandlas med djup hjärnstimulering (DBS), vid vilken elektrisk ström tillförs djupa hjärnstrukturer genom permanent inopererade elektroder. I den här studien mättes hjärnaktivering under arbetsminnesbelastning med funktionell magnetresonans-tomografi hos tretton essentiell tremor-patienter med DBS i kaudala Zona incerta, en kärna i mellanhjärnan. Med stimuleringen påslagen krävdes en lägre hjärnaktivering i arbetsminnes-relaterade områden för att nå samma resultat i två arbetsminnesuppgifter där den enda krävde manipulation och den andra enbart kvarhållande av information. Samtidigt kunde en relativt sett högre aktiveringsnivå uppnås för den mer krävande manipulationsuppgiften. De här resultaten tyder på att DBS kan göra tremorpatienters hjärna mer effektiv i arbetsminnesuppgifter, i enlighet med den “effektivitetshypotes” som lagts fram av Nyberg m fl (2014).

Movement disorders are a group of syndromes that often arise due to neurological abnormalities. Approximately 40 million Americans are affected by some form of movement disorder, significantly impacting patients’ quality of life and their ability to live independently. Deep brain stimulation (DBS) is one treatment that has shown promising results in the past couple decades, however, the currently used open-loop system has several drawbacks. By implementing a closed-loop or adaptive DBS (aDBS) system, the need for expensive parameter reprogramming sessions would be reduced, side-effects may be relieved, and habituation could be avoided. Several biomarkers, for example signals or activity derived from electroencephalogram (EEG), could potentially be used as a feedback source for aDBS. Here, we attempted to characterize cortical EEG potentials in healthy subjects performing six tasks that are difficult for those with movement disorders. Using a 32-channel EEG cap with an amplifier sampling at 500 Hz, we performed our protocol on 11 college-aged volunteers lacking any known movement disorder. For each task, we analyzed task-related power (TRP) changes, spectrograms, and topographical maps. In a finger movement exercise, we found task-related depression (TRD) in the delta band at the F4 electrode, as well as TRD at the C3 electrode in the alpha band during a pencil-pickup task, and TRD at the F3 electrode in the beta band during voluntary swallowing. While delta-ERD in the finger movement exercise was likely due to ocular artifact, the other significant results were in line with what relevant literature would predict. The findings from the work, in conjunction with a future study involving movement disorder patients, can provide insight into the use of EEG as a feedback source for aDBS. Keywords: EEG, electroencephalography, neurostimulation, deep brain stimulation, movement disorders, closed-loop DBS, adaptive DBS, aDBS

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Parkinson’s disease is a common neurological disease which will progressively damagedopaminergic neurons in the brain. Later stages of the disease will result in death of theneurons. The diagnosis is often made with respect to the motor symptoms, which includetremors, bradykinesia, and rigidity. In addition to motor symptoms, non-motor symptomsappear in many patients, such as cognitive changes and mood disorders. One method used totreat Parkinson’s disease is deep brain stimulation, where electric pulses are emitted to aspecific brain area. A common target is the subthalamic nucleus, which is part of the basalganglia. By using deep brain stimulation, the dose of other medications for Parkinson’sdisease can be lowered. However, the mechanisms of deep brain stimulation are not yetentirely known, and there have been many reports of adverse side-effects caused by thismethod, including depression and other types of mood changes. Even so, information of apossible sex distribution of these side-effects is still limited. Here, a qualitative essay wasmade where 16 articles describing reported side-effects in men and women were compared. Inaddition, unpublished data from optogenetic studies on male and female mice were analysedin order to examine putative sex-differences upon experimental brain stimulation strategies.The results from the optogenetics results did not show any statistically significant sexdifferences.In contrast, by comparing the selected articles in which results of deep brainstimulation treatment in patients were reported, some differences were found. First, it seemsthat women report more depressive-like symptoms than men. Second, while men also reportdepressions, they also report more aggressive behaviour upon the treatment. A preliminaryconclusion of this essay is therefore that certain sex-differences can be observed among theadverse side-effects reported upon deep brain stimulation in Parkinson´s disease. However,since the studied material was limited, more research is required to make firmer conclusions.

Objective: Degeneration of dopaminergic neurons in the substantia nigra projecting to the striatum is responsible for the motor symptoms in Parkinson’s disease (PD). Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is a well-established procedure to alleviate these symptoms in advanced PD. Yet the mechanism of action, especially the effects of STN-DBS on the availability of striatal dopamine transporter (DAT) as a marker of nigrostriatal nerve cell function, remains largely unknown. The aim of our study was therefore to evaluate whether 1) DAT availability changes within one year of STN-DBS and whether 2) the clinical outcome is predictable by DAT availability before surgical procedure (pre-op). Methods: Twenty-seven PD patients (age: 62.7 ± 8.9 years (y); duration of illness: 13.0 ± 4.9y; PD subtypes: akinetic-rigid n=11, equivalence n=13, tremor-dominant n=3) underwent [123I]FP-CIT single-photon emission computed tomography (SPECT) pre-op and one year after STN-DBS (post-op). DAT availability (specific-to-unspecific binding ratio, SBR) was assessed by volume of interest (VOI) analysis of the caudate nucleus and the putamen ipsilateral and contralateral to the clinically more affected side. Results: 1) Unified Parkinson’s Disease Rating Scale (UPDRS) III (pre-op on: on medication; pre-op off: off medication; post-op on/on: on medication/on stimulation; post-op on/off: on medication/off stimulation) improved significantly (pre-op on: 25.6 ± 12.3, pre-op off: 42.3 ± 15.2, post-op on/off: 41.4 ± 13.2; post-op on/on: 16.1 ± 9.4; pre-op on vs. post-op on/on: p = 0.006) while L-dopa equivalent daily dose (LEDD) was reduced (pre-op 957 ± 440 mg, post-op 313 ± 189 mg; p < 0.001). SBR did not differ significantly before and one year after DBS, regardless of PD subtypes. 2) Pre-op DAT availability was not related to the change in UPDRS III but the change in DAT availability was significantly correlated with the change in UPDRS III (contralateral head of the caudate VOI: p=0.014, contralateral putamen VOI: p=0.018). Conclusion Overall, DAT availability did not change significantly after one-year of STN-DBS. However, on an individual base, the improvement in UPDRS III was associated with an increase of DAT availability while DAT availability before STN-DBS surgery did not predict the clinical outcome. Whether a subtype-specific pattern of pre-op DAT availability can become a reliable predictor for successful STN-DBS has to be evaluated in larger study cohorts.:Introduction 2 1.1 Parkinson’s Disease Pathophysiology 2 1.2 Parkinson’s Disease Clinical Manifestation 4 1.2.1 Parkinson’s Disease Diagnosis 5 1.2.1.1 Unified Parkinson’s Disease Rating Scale 5 1.2.1.2 Imaging 6 1.2.2 Parkinson’s Disease Subtypes 6 1.3 Parkinson’s Disease Therapy 7 1.3.1 Pharmacologic Therapy 7 1.3.2 Surgical Therapy – Deep Brain Stimulation 9 1.3.2.1 Patient Selection 9 1.3.2.2 Operative Technique 9 1.3.2.3 Efficacy 10 1.3.2.4 Complications 11 1.3.2.5 Mechanism of action 11 2 Publication 15 3 Summary of Work 23 3.1 Background 23 3.2 DAT availability changes after STN-DBS 24 3.3 Pre-op DAT availability predicts the clinical outcome 25 3.4 DBS has a neuroprotective effect 25 3.5 Limitations and future direction 26 3.6 Conclusion 26 4 References 27 5 Attachments 35 5.1 Index of Abbreviations 35 5.2 List of figures 36 5.3 Academic Contribution 37 5.4 Declaration of the independent writing of this thesis 39 5.5 Declaration of Submission 40 5.6 Curriculum Vitae 41 5.7 Acknowledgements 43

The aim of the research is to provide a computationally efficient neural network model for the study of deep brain stimulation efficacy in the treatment of Parkinson's disease. An Izhikevich neuron model was used to accomplish this task and four classes of neurons were modeled. The parameters of each class were estimated using a genetic algorithm with a fitness function based on spike frequency as a function of input current. After computing the optimal parameters the neurons were interconnected to form the network model. The estimated parameters were capable of replicating the normal firing characteristics for each type of neuron, but failed to replicate richer spiking characteristics such as post-inhibitory bursting and tonic firing. Without these characteristics, the network was unable to produce biologically feasible results. Findings indicate the Izhikevich model relies heavily on manual tuning and must be trained under an extensive set of conditions to allow for the majority of spiking characteristics to be learned. The use of the Izhikevich model in a network simulation will always be limited to the characteristics trained on a single neuron. When connected to the network the neuron may be exposed to a variety of unlearned conditions and therefore may not be capable of replicating biologically realistic behavior. / Electrical and Computer Engineering

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<p>  </p> <p>Disfluencies are a commonly reported speech symptom associated with Parkinson disease (PD), though the cause remains unknown. Studies have consistently reported that people with PD experience more disfluencies, particularly atypical disfluencies compared to healthy controls. One proposed theory, known as the dualistic model of dopamine levels and stuttering, posits that abnormally high or low levels of dopamine may cause an increase in disfluencies. The aim of the current study is to examine how levodopa medication and deep-brain stimulation affect fluency in people with PD. Twenty-seven participants with PD underwent testing before (on and off medicine) and six months after deep-brain stimulator implant surgery (optimally medicated, on and off stimulation). Participants read a passage aloud and provided a 2-minute monologue. Speech samples were transcribed. The number of typical and atypical disfluencies were identified auditorily and using a wide-band spectrogram. After surgery, most participants reduced their levodopa equivalency dose from pre-implant levels. Results demonstrated no significant differences in frequency of disfluencies across time (pre-surgery, post-surgery) or condition (on/off medication/stimulation). Overall, participants produced more typical than atypical disfluencies and more disfluencies in the monologue task than the reading task. Results do not support the dualistic model of dopamine, but instead support a more nuanced and individualized role for dopamine in speech fluency. For example, patterns within individual subjects suggest changes in dopamine may play a role in speech fluency for individual patients with PD. Data support the effect of cognition and language formulation in the production of disfluencies, particularly typical disfluencies.</p>

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