Dopaminergic modulation of motor network compensatory mechanisms in Parkinson's disease

Association of Striatal Dopamine Depletion and Brain Metabolism Changes With Motor and Cognitive Deficits in Patients With Parkinson Disease

BACKGROUND AND OBJECTIVES

Parkinson disease (PD) shows degeneration of dopaminergic neurons in the substantia nigra and characteristic changes in brain metabolism. However, how they correlated and affect motor and cognitive dysfunction in PD has not yet been well elucidated.

METHODS

In this single-site cross-sectional study, we enrolled patients with PD who underwent N-(3-[18F]fluoropropyl)-2β-carbomethoxy-3β-(4-iodophenyl)nortropane (18F-FP-CIT) PET, 18F-fluorodeoxyglucose (18F-FDG) PET, the Movement Disorder Society-sponsored Unified PD Rating Scale examination, and detailed neuropsychological testing. General linear models and mediation analyses were implemented to investigate the association between striatal dopamine transporter availability, brain metabolism, and parkinsonian motor subscores or domain-specific cognitive scores. Healthy controls (HCs) who underwent 18F-FP-CIT and 18F-FDG PET were also enrolled.

RESULTS

Compared with HCs (n = 38, mean age 67.3 ± 5.9 years; 19 women), patients with PD (n = 143, mean age 69.0 ± 9.0 years; 69 women) characteristically showed relative brain hypermetabolism and hypometabolism that correlated with striatal dopamine transporter availability. As the loss of putaminal dopamine transporter availability increased, brain metabolism relatively increased from the paracentral lobule, pons, and limbic system to the cerebellum and anterior cingulate cortex, whereas brain metabolism relatively decreased from the lateral temporal and frontal cortices to the occipital and inferior parietal cortices. Reduced putaminal dopamine was associated with a higher rigidity subscore by the mediation of relative hypermetabolism in the paracentral lobule (standardized indirect effect, β = -0.070, p = 0.025) and directly associated with a higher bradykinesia subscore (β = -0.274, p = 0.011). Reduced caudate dopamine was associated with a higher axial subscore (β = -0.125, p = 0.004) and lower executive (β = 0.229, p = 0.004), visuospatial (β = 0.139, p = 0.006), and memory (β = 0.140, p = 0.004) domain scores by the mediation of relative brain hypometabolism. The tremor subscore and language and attention scores were not associated with striatal dopamine availability or brain metabolism.

DISCUSSION

Our findings suggest that in PD, striatal dopamine depletion and altered brain metabolism are closely linked, that changes in brain metabolism occur in specific spatial patterns depending on the degree of dopamine depletion, and that both differentially affect motor and cognitive dysfunction depending on each symptom.

Effects of training involving patterned sensory enhancement on improving upper-limb movements in patients with Parkinson's disease: protocol of a randomised controlled trial

INTRODUCTION

Bradykinesia (ie, slow movements) is one of the most prominent symptoms of Parkinson's disease (PD) and has a negative impact on quality of life. Rhythmic auditory stimulation (RAS), a widely used and promising treatment technique, has been shown to effectively improve gait speed in patients with PD. The upper-limb movements, which also suffer from bradykinesia, are essential for daily life and directly impact quality of life. The term, patterned sensory enhancement (PSE) instead of RAS, is used when movement training targets the human body except lower limbs. Up until now, scarce studies have explored effects of training involving PSE on upper-limb movements. The purpose of this study is to investigate effects of movement training involving PSE on upper-limb movement speed and function in patients with PD.

METHODS AND ANALYSIS

A total of 138 patients with PD will be randomly assigned into two groups: the PSE group and the no-PSE group. A 21-day upper-limb training involving PSE (for the PSE group) or without PSE (for the no-PSE group) will be provided to the patients. An assessor will administer the box and block test and the Jebsen hand function test before and after training to assess upper-limb movement speed and function. The one-way analysis of covariance will be performed. This randomised controlled trial will provide evidence supporting effectiveness of upper-limb movement training involving PSE on reducing severity of bradykinesia in patients with PD.

ETHICS AND DISSEMINATION

Ethical approval has been obtained from the Institutional Review Board of the Hong Kong Polytechnic University with the reference number HSEARS20221027005. Informed consent forms will be gathered from all patients before their participation. Study results will be disseminated through conferences and peer-reviewed academic journals.

TRIAL REGISTRATION NUMBER

NCT05637593.

Parkinson's disease may disrupt overlapping subthalamic nucleus and pallidal motor networks

There is an ongoing debate about differential clinical outcome and associated adverse effects of deep brain stimulation (DBS) in Parkinson's disease (PD) targeting the subthalamic nucleus (STN) or the globus pallidus pars interna (GPi). Given that functional connectivity profiles suggest beneficial DBS effects within a common network, the empirical evidence about the underlying anatomical circuitry is still scarce. Therefore, we investigate the STN and GPi-associated structural covariance brain patterns in PD patients and healthy controls. We estimate GPi's and STN's whole-brain structural covariance from magnetic resonance imaging (MRI) in a normative mid- to old-age community-dwelling cohort (n = 1184) across maps of grey matter volume, magnetization transfer (MT) saturation, longitudinal relaxation rate (R1), effective transversal relaxation rate (R2*) and effective proton density (PD*). We compare these with the structural covariance estimates in patients with idiopathic PD (n = 32) followed by validation using a reduced size controls' cohort (n = 32). In the normative data set, we observed overlapping spatially distributed cortical and subcortical covariance patterns across maps confined to basal ganglia, thalamus, motor, and premotor cortical areas. Only the subcortical and midline motor cortical areas were confirmed in the reduced size cohort. These findings contrasted with the absence of structural covariance with cortical areas in the PD cohort. We interpret with caution the differential covariance maps of overlapping STN and GPi networks in patients with PD and healthy controls as correlates of motor network disruption. Our study provides face validity to the proposed extension of the currently existing structural covariance methods based on morphometry features to multiparameter MRI sensitive to brain tissue microstructure.

Dynamic Causal Modeling Self-Connectivity Findings in the Functional Magnetic Resonance Imaging Neuropsychiatric Literature

Dynamic causal modeling (DCM) is a method for analyzing functional magnetic resonance imaging (fMRI) and other functional neuroimaging data that provides information about directionality of connectivity between brain regions. A review of the neuropsychiatric fMRI DCM literature suggests that there may be a historical trend to under-report self-connectivity (within brain regions) compared to between brain region connectivity findings. These findings are an integral part of the neurologic model represented by DCM and serve an important neurobiological function in regulating excitatory and inhibitory activity between regions. We reviewed the literature on the topic as well as the past 13 years of available neuropsychiatric DCM literature to find an increasing (but still, perhaps, and inadequate) trend in reporting these results. The focus of this review is fMRI as the majority of published DCM studies utilized fMRI and the interpretation of the self-connectivity findings may vary across imaging methodologies. About 25% of articles published between 2007 and 2019 made any mention of self-connectivity findings. We recommend increased attention toward the inclusion and interpretation of self-connectivity findings in DCM analyses in the neuropsychiatric literature, particularly in forthcoming effective connectivity studies of substance use disorders.

Dopaminergic modulation of motor network compensatory mechanisms in Parkinson's disease

The dopaminergic system has a unique gating function in the initiation and execution of movements. When the interhemispheric imbalance of dopamine inherent to the healthy brain is disrupted, as in Parkinson's disease (PD), compensatory mechanisms act to stave off behavioral changes. It has been proposed that two such compensatory mechanisms may be (a) a decrease in motor lateralization, observed in drug-naïve PD patients and (b) reduced inhibition - increased facilitation. Seeking to investigate the differential effect of dopamine depletion and subsequent substitution on compensatory mechanisms in non-drug-naïve PD, we studied 10 PD patients and 16 healthy controls, with patients undergoing two test sessions - "ON" and "OFF" medication. Using a simple visually-cued motor response task and fMRI, we investigated cortical motor activation - in terms of laterality, contra- and ipsilateral percent BOLD signal change and effective connectivity in the parametric empirical Bayes framework. We found that decreased motor lateralization persists in non-drug-naïve PD and is concurrent with decreased contralateral activation in the cortical motor network. Normal lateralization is not reinstated by dopamine substitution. In terms of effective connectivity, disease-related changes primarily affect ipsilaterally-lateralized homotopic cortical motor connections, while medication-related changes affect contralaterally-lateralized homotopic connections. Our findings suggest that, in non-drug-naïve PD, decreased lateralization is no longer an adaptive cortical mechanism, but rather the result of maladaptive changes, related to disease progression and long-term dopamine replacement. These findings highlight the need for the development of noninvasive therapies, which would promote the adaptive mechanisms of the PD brain.