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1.
Brain ; 143(1): 14-30, 2020 01 01.
Article in English | MEDLINE | ID: mdl-31647540

ABSTRACT

Diverse but complementary methodologies are required to uncover the complex determinants and pathophysiology of freezing of gait. To develop future therapeutic avenues, we need a deeper understanding of the disseminated functional-anatomic network and its temporally associated dynamic processes. In this targeted review, we will summarize the latest advances across multiple methodological domains including clinical phenomenology, neurogenetics, multimodal neuroimaging, neurophysiology, and neuromodulation. We found that (i) locomotor network vulnerability is established by structural damage, e.g. from neurodegeneration possibly as result from genetic variability, or to variable degree from brain lesions. This leads to an enhanced network susceptibility, where (ii) modulators can both increase or decrease the threshold to express freezing of gait. Consequent to a threshold decrease, (iii) neuronal integration failure of a multilevel brain network will occur and affect one or numerous nodes and projections of the multilevel network. Finally, (iv) an ultimate pathway might encounter failure of effective motor output and give rise to freezing of gait as clinical endpoint. In conclusion, we derive key questions from this review that challenge this pathophysiological view. We suggest that future research on these questions should lead to improved pathophysiological insight and enhanced therapeutic strategies.


Subject(s)
Brain/physiopathology , Gait Disorders, Neurologic/physiopathology , Parkinson Disease/physiopathology , Apolipoprotein E4/genetics , Brain/diagnostic imaging , Brain Mapping , Cytochrome P-450 CYP2D6/genetics , Functional Neuroimaging , Gait Disorders, Neurologic/diagnostic imaging , Gait Disorders, Neurologic/genetics , Glucosylceramidase/genetics , Humans , Leucine-Rich Repeat Serine-Threonine Protein Kinase-2/genetics , Magnetic Resonance Imaging , Mutation , Neural Pathways/physiopathology , Parkinson Disease/diagnostic imaging , Parkinson Disease/genetics , Positron-Emission Tomography , Receptors, Dopamine D2/genetics , Tomography, Emission-Computed, Single-Photon
2.
Heart Lung ; 50(6): 914-918, 2021.
Article in English | MEDLINE | ID: mdl-34428736

ABSTRACT

BACKGROUND: Acute respiratory distress syndrome (ARDS) is considered the main cause of COVID-19 associated morbidity and mortality. Early and reliable risk stratification is of crucial clinical importance in order to identify persons at risk for developing a severe course of disease. Deceleration capacity (DC) of heart rate as a marker of cardiac autonomic function predicts outcome in persons with myocardial infarction and heart failure. We hypothesized that reduced modulation of heart rate may be helpful in identifying persons with COVID-19 at risk for developing ARDS. METHODS: We prospectively enrolled 60 consecutive COVID-19 positive persons presenting at the University Hospital of Tuebingen. Arterial blood gas analysis and 24 h-Holter ECG recordings were performed and analyzed at admission. The primary end point was defined as development of ARDS with regards to the Berlin classification. RESULTS: 61.7% (37 of 60 persons) developed an ARDS. In persons with ARDS DC was significantly reduced when compared to persons with milder course of infection (3.2 ms vs. 6.6 ms, p < 0.001). DC achieved a good discrimination performance (AUC = 0.76) for ARDS in COVID-19 persons. In a multivariate analysis, decreased DC was associated with the development of ARDS. CONCLUSION: Our data suggest a promising role of DC to risk stratification in COVID-19.


Subject(s)
COVID-19 , Respiratory Distress Syndrome , Deceleration , Electrocardiography, Ambulatory , Humans , Respiratory Distress Syndrome/diagnosis , Respiratory Distress Syndrome/epidemiology , Respiratory Distress Syndrome/etiology , SARS-CoV-2
3.
Clin Neurophysiol ; 131(10): 2499-2507, 2020 10.
Article in English | MEDLINE | ID: mdl-32684329

ABSTRACT

OBJECTIVE: Freezing phenomena in idiopathic Parkinson's disease (PD) constitute an important unaddressed therapeutic need. Changes in cortical neurophysiological signatures may precede a single freezing episode and indicate the evolution of abnormal motor network processes. Here, we hypothesize that the movement-related power modulation in the beta-band observed during regular finger tapping, deteriorates in the transition period before upper limb freezing (ULF). METHODS: We analyzed a 36-channel EEG of 13 patients with PD during self-paced repetitive tapping of the right index finger. In offline analysis, we compared the transition period immediately before ULF ('transition') with regular tapping regarding movement-related power modulation and interregional phase synchronization. RESULTS: From time-frequency analyses, we observed that the tap cycle related beta-band power modulation over the left sensorimotor area was diminished in the transition period before ULF. Furthermore, increased beta-band power was observed in the transition period compared to regular tapping centered over the left centro-parietal and right frontal areas. Phase synchronization between the left fronto-parietal areas and the left sensorimotor area was elevated during transition compared to regular tapping. CONCLUSION: Together, these results indicate that diminished beta band power modulation and increased phase synchronization precede ULF. SIGNIFICANCE: We demonstrate that pathological cortical motor processing is present in the transition phase from regular tapping to an ULF episode.


Subject(s)
Cortical Synchronization/physiology , Motor Cortex/physiopathology , Movement/physiology , Parkinson Disease/physiopathology , Psychomotor Performance/physiology , Adult , Aged , Deep Brain Stimulation , Electroencephalography , Female , Fingers/physiopathology , Functional Laterality/physiology , Humans , Male , Middle Aged , Parkinson Disease/therapy
4.
Neuroimage Clin ; 22: 101689, 2019.
Article in English | MEDLINE | ID: mdl-30708350

ABSTRACT

BACKGROUND: Transcranial direct current stimulation (tDCS) may alleviate motor symptoms in Parkinson's disease (PD). However, the neurophysiological effects of tDCS on cortical activation, synchronization, and the relation to clinical motor symptoms and motor integration need characterization. OBJECTIVE: We aimed to explore the effect of tDCS over the left sensorimotor area on clinical motor outcome, right hand fine motor performance as well as cortical activity and synchronization in the high beta range. METHODS: In this double-blind randomized sham-controlled clinico-neurophysiological study we investigated ten idiopathic PD patients and eleven matched healthy controls (HC) on two days during an isometric precision grip task and at rest before and after 'verum' and 'sham' anodal tDCS (20 min; 1 mA; anode [C3], cathode [Fp2]). We measured clinical outcome, fine motor performance, and analysed both cortical frequency domain activity and corticocortical imaginary coherence. RESULTS: tDCS improved PD motor symptoms. Neurophysiological features indicated a motor-task-specific modulation of activity and coherence from 22 to 27 Hz after 'verum' stimulation in PD. Activity was significantly reduced over the left sensorimotor and right frontotemporal area. Before stimulation, PD patients showed reduced coherence over the left sensorimotor area during motor task compared to HC, and this increased after 'verum' stimulation in the motor task. The activity and synchronization modulation were neither observed at rest, after sham stimulation nor in healthy controls. CONCLUSION: Verum tDCS modulated the PD cortical network specifically during fine motor integration. Cortical oscillatory features were not in general deregulated in PD, but depended on motor processing.


Subject(s)
Cerebral Cortex/physiopathology , Electroencephalography Phase Synchronization/physiology , Motor Skills/physiology , Parkinson Disease/physiopathology , Parkinson Disease/therapy , Transcranial Direct Current Stimulation , Adult , Aged , Double-Blind Method , Female , Humans , Male , Middle Aged , Placebos , Signal Processing, Computer-Assisted , Treatment Outcome
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