Changes In Activity Patterns Research Articles

The bottom-up information transfer process and top-down attention control underlying tonal working memory

Tonal working memory has been less investigated by neuropsychological and neuroimaging studies and even less in terms of tonal working memory load. In this study, we analyzed the dynamic cortical processing process of tonal working memory with an original surface-space-based multivariate pattern analysis (sf-MVPA) method and found that this process constituted a bottom-up information transfer process. Then, the local cortical activity pattern, local cortical response strength, and cortical functional connectivity under different tonal working memory loads were investigated. No brain area’s local activity pattern or response strength was significantly different under different memory loads. Meanwhile, the interactions between the auditory cortex (AC) and an attention control network were linearly correlated with the memory load. This finding shows that the neural mechanism underlying the tonal working memory load does not arise from changes in local activity patterns or changes in the local response strength, but from top-down attention control. Our results indicate that the implementation of tonal working memory is based on the cooperation of the bottom-up information transfer process and top-down attention control.

Active Neuron Least Squares: A Training Method for Multivariate Rectified Neural Networks

We propose a novel training method for multivariate two-layer rectified neural networks. The core mechanism is the augmentation of standard gradient descent direction by the inclusion of search vectors which are chosen to explicitly adjust the activation patterns of the neurons. Active neuron least squares (ANLS) proceeds iteratively with each iteration consisting of three steps: (a) generation of search vectors (including ones designed to change activation patterns), (b) identification of the candidate weights, and (c) a decision on which candidate weights are selected for update. We develop stable and efficient procedures for implementing the method. Numerical examples are provided that demonstrate the effectiveness of ANLS compared with existing popular approaches on various learning tasks ranging from function approximation to solving PDEs.

Audiovisual adaptation is expressed in spatial and decisional codes

The brain adapts dynamically to the changing sensory statistics of its environment. Recent research has started to delineate the neural circuitries and representations that support this cross-sensory plasticity. Combining psychophysics and model-based representational fMRI and EEG we characterized how the adult human brain adapts to misaligned audiovisual signals. We show that audiovisual adaptation is associated with changes in regional BOLD-responses and fine-scale activity patterns in a widespread network from Heschl’s gyrus to dorsolateral prefrontal cortices. Audiovisual recalibration relies on distinct spatial and decisional codes that are expressed with opposite gradients and time courses across the auditory processing hierarchy. Early activity patterns in auditory cortices encode sounds in a continuous space that flexibly adapts to misaligned visual inputs. Later activity patterns in frontoparietal cortices code decisional uncertainty consistent with these spatial transformations. Our findings suggest that regions within the auditory processing hierarchy multiplex spatial and decisional codes to adapt flexibly to the changing sensory statistics in the environment.

Changes in physical activity patterns of students from primary to secondary school: a 5-year longitudinal study

This study aimed to annually examine anthropometric characteristics and physical activity (PA) among children transitioning from fourth grade (9–10 years of age) to eighth grade (13–14 years of age) in Japan. The participants’ (n = 63) age, grade, sex, weight, height, and weight status were recorded at baseline. Accelerometry assessments were performed annually following established protocols. Time spent on activities requiring ≥ 3 metabolic equivalents (METs), 1.6–2.9 METs, and ≤ 1.5 METs were defined as moderate-to-vigorous intensity PA (MVPA), light PA (LPA), and sedentary behavior (SB), respectively. Two linear mixed models were used to examine whether MVPA, LPA, and SB min/day changed over time. Fifty-five participants provided complete data. A significant, nonlinear, longitudinal decline in MVPA, an increase in SB, and a linear decline in LPA were observed. Changes in MVPA and SB were accelerated in seventh grade (12–13 years of age). Male sex and maintenance of normal weight status were associated with higher MVPA levels. Changes in LPA and SB were not associated with sex or weight status. During the transition period from primary to secondary school, MVPA and SB showed nonlinear accelerations. Sex and normal weight were associated with more time spent performing MVPA.

Analyzing Changes in Sport Activity Patterns Caused by the COVID-19 Pandemic: Focusing on the Sport Role of Sustainable Development Goals Related to Health and Well-being

PURPOSE The United Nations (UN) has proposed 17 Sustainable Development Goals and has been extending its efforts to achieve them. Sport can be linked closely to the third goal, which is related to health and well-being. Therefore, this study aimed to explore and to analyze individual's changed sport activities during the COVID-19 pandemic, focusing on ways to achieve health and well-being related goals through sport.METHODS A qualitative research method was employed, and in-depth interview methods were used for data collection. For data analysis, categorization and itemization were used along with content analysis.RESULTS Looking at the derived results, in the context of an infectious disease such COVID-19, sport activity patterns have changed due to reasons such as stadiums or facilities, interpersonal reasons, fear, inconvenience, staying healthy, increase in leisure time, and individual preferences.CONCLUSIONS Due to the COVID-19 pandemic, the indicators of health and well-being related SDGs are exhibiting a downward trend. At this point, it is necessary to find a way to achieve the goal through sport that can participate voluntarily for the purpose of pursuing pleasure.

Acoustic Stimuli Can Improve and Impair Somatosensory Perception.

The integration of stimuli from different sensory modalities forms the basis for human perception. While the relevant impact of visual stimuli on the perception of other sensory modalities is recognized, much less is known about the impact of auditory stimuli on general sensory processing. This study aims to investigate the effect of acoustic stimuli on the processing of somatosensory stimuli using real noise (i.e., unpleasant everyday noise, RN) and neutral white noise (WN). To this purpose, we studied 20 healthy human subjects between 20 and 29 years of age (mean: 24, SD: ±1.9 years sex ratio 1:1). Somatosensory perception was evaluated using mechanical detection threshold (MDT) of the skin on the back of the dominant hand. To investigate the underlying mechanisms in the brain, fMRI was performed while applying acoustic stimulation (RN and WN) and tactile stimulation of the dominant hand. Here we show that acoustic stimulation with noise alters the perception of touch on the skin. We found that the effect of RN and WN differed. RN leads to an improved tactile perception, whereas WN impaired tactile perception. These changes go along with significant differences in brain activity and connectivity. WN is associated with a significant increase in brain activity in multiple brain areas such as the auditory and somatosensory cortex, parietal association cortex, and the thalamus compared to RN. With tactile stimulation of the skin, the flow of information in these brain areas is altered. While with RN the information flow from the thalamus to the somatosensory cortex is prominent, the network activity pattern changes under WN revealing an increase in interaction between multiple networks. Unpleasant noise inhibits the multisensory integration and enables a more efficient unimodal perception in the somatosensory system, improving perception. Whether this is to be interpreted as a temporary increase in phasic alertness or by a stronger filter function of the thalamus with a preference for unimodal stimuli is still open for debate.

Tracking the Impact of Weather on Equine Activity While Pastured

Keeping horses outdoors on pasture full-time with free access to shelter holds numerous advantages over housing in stalls, promoting both better mental and physical health. One reason for these benefits is the potential for increased physical activity in horses outdoors on pasture versus those confined to stalls. However, it is not guaranteed the horse will take advantage of this opportunity for greater movement. For this reason, it is important to understand the various reasons why horse activity patterns change. The objective of this study was to investigate how various weather factors – including temperature, humidity, precipitation, and wind speed – directly affect equine movement. To achieve this, horses on two similarly-managed farms were equipped with triaxial accelerometers during five independent time periods from January to August. These devices tracked number of steps, standing time, time lying down, and number of lying bouts. The movement data were then compared to the corresponding weather conditions. No strong correlations were found between the recorded movement of the horses and any of the environmental conditions. However, differences in average number of steps and average time lying down were observed between farms and across testing periods, suggesting other influences such as ground conditions and the use of blankets. Further studies are needed to determine the best management practices to encourage pasture activity and support optimal equine physical health.

Neuronal G protein-gated K+ channels.

G protein-gated inwardly rectifying K+ (GIRK/Kir3) channels exert a critical inhibitory influence on neurons. Neuronal GIRK channels mediate the G protein-dependent, direct/postsynaptic inhibitory effect of many neurotransmitters including γ-aminobutyric acid (GABA), serotonin, dopamine, adenosine, somatostatin, and enkephalin. In addition to their complex regulation by G proteins, neuronal GIRK channel activity is sensitive to phosphatidylinositol 4,5-bisphosphate (PIP2), phosphorylation, regulator of G protein signaling (RGS) proteins, intracellular Na+ and Ca2+, and cholesterol. The application of genetic and viral manipulations in rodent models, together with recent progress in the development of GIRK channel modulators, has increased our understanding of the physiological and behavioral impact of neuronal GIRK channels. Work in rodent models has also revealed that neuronal GIRK channel activity is modified, transiently or persistently, by various stimuli including exposure drugs of abuse, changes in neuronal activity patterns, and aversive experience. A growing body of preclinical and clinical evidence suggests that dysregulation of GIRK channel activity contributes to neurological diseases and disorders. The primary goals of this review are to highlight fundamental principles of neuronal GIRK channel biology, mechanisms of GIRK channel regulation and plasticity, the nascent landscape of GIRK channel pharmacology, and the potential relevance of GIRK channels to the pathophysiology and treatment of neurological diseases and disorders.

Change in atrial activation pattern during ventricular pacing: What is the mechanism?

A 46-year-old lady presented to out-patient department with recurrent episodic palpitations having preexcitation on ECG. She was advised electrophysiology study (EPS) and radiofrequency ablation (RFA) This article is protected by copyright. All rights reserved.

Changes in physical activity, dietary and sleeping pattern among the general population in COVID-19: A systematic review protocol.

COVID-19 is a highly infectious respiratory disease caused by a new coronavirus known as SARS-CoV-2. Home confinement and movement restrictions can affect lifestyle changes and may lead to non-communicable diseases (NCD). This systematic review will provide a detailed summary of changing patterns of physical activities, diet and sleep among the general public in COVID-19. PubMed, Google Scholar, EMBASE, Science Direct, and Scopus will be, among eight bibliographic databases, applied and search work will take one month (from January 2021 until February 2021). Key search terms will include common characteristics of physical activity, dietary pattern, sleeping pattern, and COVID-19. The reviewers will fully apply the inclusion and exclusion criteria framed by PICOS as well as the screening form and the PRISMA flow for selecting the papers eligible for this review. Moreover, the reviewers will use a self-developed excel table to extract the required information on dietary pattern changes, physical activities and sleep patterns changes, and the Risk of Bias Assessment Tool for Nonrandomized Studies (RoBANS) for practicing quality assessment. We will include only observational studies and analyze the extracted information qualitatively and the review output will be based on the eligible studies' outcomes. Changes in physical activity, dietary and sleep patterns are challenging to the public health professionals regarding the risk factors for NCD, and long-term effects might impact the controlling of the NCD. Evidence-based research information is needed regarding the COVID-19 pandemic, and there are a few global data on changes in physical activity, dietary and sleep patterns. Furthermore, innovative public health interventions or implementations are needed to maintain the positive health status of the population in the long run as the consequences of the COVID-19 pandemic. This systematic review is based on a protocol registered with PROSPERO CRD42021232667.

Lifestyle intervention on psychotherapy and exercise and their effect on physical and psychological health in outpatients with schizophrenia spectrum disorders. A pragmatic clinical trial

IntroductionPatients with Schizophrenia Spectrum Disorders (SSD) often lead unhealthy lifestyles with higher prevalence of obesity and unfavourable cardiometabolic parameters with less life expectancy and often worse quality of life compared with general population.ObjectivesEvaluate the effectiveness of a combined intervention of exercise and psychoeducation in 48 SSD outpatients with metabolic syndrome (MetS), treated with second-generation antipsychotics and also aimed to explore if the effect persisted in a long-term follow-up of 24 months.MethodsThe intervention included a 12-week aerobic exercise program and a session of lifestyle psychoeducation. Effectiveness was measured in terms a wide range of outcomes involving physical and psychological health, functioning, quality of life, physical activity and changes in motivation to exercise in the context of the self-determination theory.ResultsThe active intervention group showed benefits after Bonferroni correction over clinical global impression, identified motivation to exercise and changes of physical activity pattern. Maintenance of effects after 24 months of follow-up was observed for identified regulation to exercise and also for negative symptoms of psychosis (Table). Table. Effects assigned-group/time-over *p≤0.05 **p≤0.01. Variables12weeks24monthsTimeGroupxtimeGroupx timex gender p p p ppHDL (mg/dl)0.021*Negative Syndrome Scale0.044*0.004**BREQ-2- Extrinsic regulation0.008**0.004**-External0.026*-Introyected0.038*-Identified0.018*0.015*0.003**0.002**BREQ-2-Intrinsic regulation0.005**0.004**Pedometer (steps/day)0.001**0.006**ConclusionsA combined intervention on SSD outpatients with MetS showed effectiveness over several clinical parameters and functioning. Therefore, should be considered an essential part of the integral treatment in mental health services for SSD patients.DisclosureNo significant relationships.

Muscle synergies are modified with improved task performance in skill learning

How do muscle synergies change as motor skills are learned? The purpose of this study was to investigate the relationship between synergy number and skill acquisition, and to examine learning-related changes in synergy structure and activation patterns. We performed muscle synergy analysis using non-negative matrix factorization to identify muscle synergies from activation patterns of ten major leg muscles before and after recreational cyclists learned a novel one-legged pedal force aiming task (Park, Van Emmerik, & Caldwell, 2021). Synergy number was defined as the smallest number of factors from the matrix factorization algorithm that could explain more than the predefined threshold values. Improvements in pedal force direction after practice occurred without a change in the number of muscle synergies (four), suggesting that task constraints (e.g. the need for smooth pedaling motion) in this novel targeting task may limit the CNS to the same number of muscle synergies before and after practice. Improved task performance while continuing to satisfy multiple biomechanical tasks was obtained with changes in structure (muscle weightings) for one synergy, and activation amplitudes without changes in timing or pattern for three synergies. In each crank cycle quadrant, multiple synergies were altered in either structure or activation amplitude, suggesting that the cooperative changes may be essential for improving task performance while producing a smooth pedaling motion. Changes in both synergy structure and activation levels could be muscle coordination strategies in motor skill learning.

Chemical Compositions in Winter PM2.5 in Changzhou of the Yangtze River Delta Region, China: Characteristics and Atmospheric Responses Along With the Different Pollution Levels

Changzhou, a typical industrial city located in the center of the Yangtze River Delta (YRD) region, has experienced serious air pollution in winter. However, Changzhou still receives less attention compared with other big cities in YRD. In this study, a four-month PM2.5sampling campaign was conducted in Changzhou, China from 1 November 2019, to 1 February 2020. The period covers the entire wintertime and includes first week of the Level 1 response stage of the lockdown period due to the outbreak of COVID-19. The mean PM2.5concentrations were 67.9 ± 29.0 μg m−3, ranging from 17.4 to 157.4 μg m−3. Secondary inorganic ions were the most abundant species, accounting for 37 and 50% during the low and high PM2.5pollution periods, respectively. Nitrogen oxidation ratio (NOR) during the high PM concentration level period was twice the low PM concentration period whereas sulfur oxidation ratio (SOR) showed a less significant increase. This represents that nitrate formation is potentially the predominant factor controlling the occurrence of PM pollution. The analysis of NOR, SOR as functions of relative humidity (RH) and ozone (O3) concentrations suggest that the sulfate formation was mainly through aqueous-phase reaction, while nitrate formation was driven by both photochemistry and heterogeneous reaction. And, excess ammonium could promote the formation of nitrate during the high PM period, indicating that ammonia gas played a critical role in regulating nitrate. Furthermore, a special period-Chinese New Year overlapping first week of COVID-19 lockdown period, offered a precious window to study the impact of human activity pattern changes on air pollution variation. During the special period, the average PM2.5mean concentration was 60.4 μg m−3, which did not show in a low value as expected. The declines in nitrogen oxide (NOx) emissions led to rapid increases in O3and atmospheric oxidizing capacity, as well as sulfate formation. The chemical profiles and compositions obtained during different periods provide a scientific basis for establishing efficient atmospheric governance policies in the future.

Spontaneous Alpha-Band Oscillations Bias Subjective Contrast Perception.

Perceptual decisions depend both on the features of the incoming stimulus and on the ongoing brain activity at the moment the stimulus is received. Specifically, trial-to-trial fluctuations in cortical excitability have been linked to fluctuations in the amplitude of prestimulus α oscillations (∼8-13 Hz), which are in turn are associated with fluctuations in subjects' tendency to report the detection of a stimulus. It is currently unknown whether α oscillations bias postperceptual decision-making, or even bias subjective perception itself. To answer this question, we used a contrast discrimination task in which both male and female human subjects reported which of two gratings (one in each hemifield) was perceived as having a stronger contrast. Our EEG analysis showed that subjective contrast was reduced for the stimulus in the hemifield represented in the hemisphere with relatively stronger prestimulus α amplitude, reflecting reduced cortical excitability. Furthermore, the strength of this spontaneous hemispheric lateralization was strongly correlated with the magnitude of individual subjects' biases, suggesting that the spontaneous patterns of α lateralization play a role in explaining the intersubject variability in contrast perception. These results indicate that spontaneous fluctuations in cortical excitability, indicated by patterns of prestimulus α amplitude, affect perceptual decisions by altering the phenomenological perception of the visual world.SIGNIFICANCE STATEMENT Our moment-to-moment perception of the world is shaped by the features of the environment surrounding us, as much as by the constantly evolving states that characterize our brain activity. Previous research showed how the ongoing electrical activity of the brain can influence whether a stimulus has accessed conscious perception. However, evidence is currently missing on whether these electrical brain states can be associated to the subjective experience of a sensory input. Here we show that local changes in patterns of electrical brain activity preceding visual stimulation can bias our phenomenological perception. Importantly, we show that the strength of these variations can help explain the great interindividual variability in how we perceive the visual environment surrounding us.

Study design exploring Qigong and Tai Chi Easy (QTC) on cardiometabolic risk factors

BackgroundCardiovascular disease is the leading cause of death in the United States paralleled with several cardiometabolic risk factors that are on the rise such as obesity, hypertension, and diabetes. Many of these cardiometabolic risk factors are preventable by lifestyle changes in physical activity and dietary patterns. Qigong and Tai Chi Easy (QTC) exercises are considered meditative movement practices that have been shown to reduce cardiometabolic risk factors such as psychosocial stress, poor sleep quality and weight gain and is particularly suitable for older adults. Heart rate variability (HRV) is a common factor known to be related to reduction of these risks and may be enhanced using HRV biofeedback to specifically optimize effects of QTC. MethodsThe protocol presented describes a two-group parallel randomized controlled trial testing effects of QTC vs QTC plus HRV biofeedback “priming” on HRV parameters (primary), and cardiometabolic risk factors and sequelae (secondary) (e.g., waist circumference/percent body fat, sleep quality, stress, anxiety/depression, emotional regulation, eating behaviors, and cognitive performance). We will enroll 50 adults aged 55–85 years old to participate in an 8-week intervention. Self-reported body measurements, psychosocial and behavioral questionnaires, and cognitive performance assessments will be conducted before and after the intervention. ConclusionsFindings from this study are expected to assess effects of QTC and elucidate the potential role of HRV in QTC relative to cardiometabolic risk factors and sequelae. Implications for how HRV may play a central role and be optimized in a meditative movement practice are discussed.

Predator control alters wolf interactions with prey and competitor species over the diel cycle

Predator control remains one of the most common strategies for the conservation of threatened prey species. Despite significant and ongoing efforts to reduce predator populations, little is known about the impacts on the behaviour and interactions of target and non‐target species following numerical and potentially behavioural suppression of predators. We used camera‐trap data collected before and after an intensive wolf control program in northeastern Alberta's boreal forest to evaluate changes in activity patterns and overlap in wolves, competitors and prey. We hypothesized wolves would shift their activity toward increased nocturnality to avoid diurnal control efforts, and thereby cause a behavioural cascade where other species shift activity to maintain temporal segregation from wolves. Wolves shifted activity into the nighttime following predator control, reducing temporal overlap with the other, mostly diurnal, members of the community. Decreases in activity overlap between wolves and other species indicates reduced potential for wolf interactions with ungulate prey and large competitor species. Predator control may therefore not only release species from top to down regulation and competition following numerical suppression of top predators, but also through de‐coupling of temporal overlap, with potential effects on species interactions. Understanding the indirect impacts of conservation strategies such as predator control on both target and non‐target species provides insight into potential disruptions to top–down regulation and the associated species interactions that shape community structure.

Growth hormone deficiency interferes with dynamic brain networks in short children

PurposeThis study aimed to explore the disparities in dynamic brain networks between children with growth hormone deficiency (GHD) and idiopathic short stature (ISS, non-growth hormone deficiency). MethodsThis study enrolled 65 children with GHD and 60 sex- and age-matched children with ISS. Resting-state functional magnetic resonance imaging (rs-fMRI) was performed for all participants to obtain information on dynamic regional homogeneity (dReHo) and functional connectivity (FC) in dynamic (dFC) or static (sFC) state. The rs-fMRI metrics were subsequently compared between the GHD and ISS groups. ResultsCompared to the ISS group, the GHD group showed significant dynamic abnormalities in intra-networks of the central executive and cerebellar networks and in inter-networks of the central executive network to attentional, sensorimotor, and visual networks, as well as cerebellar network to default mode, sensorimotor, and visual networks. In addition, FC changes in the dynamic state were different from those in the static state. ConclusionsThe abnormal dynamics in intra- and inter-networks involved in cognitive, emotional, and motor functions in children with GHD extend the knowledge on brain functional alterations in children with GHD as reflected by dynamic changes in macroscopic neural activity patterns. These findings may help explain how GHD leads to various behavioral and cognitive deficits in children with short stature.

TNF-α Orchestrates Experience-Dependent Plasticity of Excitatory and Inhibitory Synapses in the Anterior Piriform Cortex.

Homeostatic synaptic plasticity, which induces compensatory modulation of synapses, plays a critical role in maintaining neuronal circuit function in response to changing activity patterns. Activity in the anterior piriform cortex (APC) is largely driven by ipsilateral neural activity from the olfactory bulb and is a suitable system for examining the effects of sensory experience on cortical circuits. Pro-inflammatory cytokine tumor necrosis factor-α (TNF-α) can modulate excitatory and inhibitory synapses, but its role in APC is unexplored. Here we examined the role of TNF-α in adjusting synapses in the mouse APC after experience deprivation via unilateral naris occlusion. Immunofluorescent staining revealed that activity deprivation increased excitatory, and decreased inhibitory, synaptic density in wild-type mice, consistent with homeostatic regulation. Quantitative RT-PCR showed that naris occlusion increased the expression of Tnf mRNA in APC. Critically, occlusion-induced plasticity of excitatory and inhibitory synapses was completely blocked in the Tnf knockout mouse. Together, these results show that TNF-α is an important orchestrator of experience-dependent plasticity in the APC.

Changes in Kinematics and Muscle Activity With Increasing Velocity During Underwater Undulatory Swimming.

This study aimed to investigate the changes in kinematics and muscle activity with increasing swimming velocity during underwater undulatory swimming (UUS). In a water flume, 8 male national-level swimmers performed three UUS trials at 70, 80, and 90% of their maximum swimming velocity (70, 80, and 90%V, respectively). A motion capture system was used for three-dimensional kinematic analysis, and surface electromyography (EMG) data were collected from eight muscles in the gluteal region and lower limbs. The results indicated that kick frequency, vertical toe velocity, and angular velocity increased with increasing UUS velocity, whereas kick length and kick amplitude decreased. Furthermore, the symmetry of the peak toe velocity improved at 90%V. The integrated EMG values of the rectus femoris, biceps femoris, gluteus maximus, gluteus medius, tibialis anterior, and gastrocnemius were higher at 90%V than at the lower flow speeds, and the sum of integrated EMGs increased with increasing UUS velocity. These results suggest that an increase in the intensity of muscle activity in the lower limbs contributed to an increase in kick frequency. Furthermore, muscle activity of the biceps femoris and gastrocnemius commenced slightly earlier with increasing UUS velocity, which may be related to improving kick symmetry. In conclusion, this study suggests the following main findings: 1) changes in not only kick frequency but also in kicking velocity are important for increasing UUS velocity, 2) the intensity of specific muscle activity increases with increasing UUS velocity, and 3) kick symmetry is related to changes in UUS velocity, and improvements in kick symmetry may be caused by changes in the muscle activity patterns.

Changes in elbow flexion EMG morphology during adjustment of deep brain stimulator in advanced Parkinson's disease.

Deep brain stimulation (DBS) is an effective treatment for motor symptoms of advanced Parkinson's disease (PD). Currently, DBS programming outcome is based on a clinical assessment. In an optimal situation, an objectively measurable feature would assist the operator to select the appropriate settings for DBS. Surface electromyographic (EMG) measurements have been used to characterise the motor symptoms of PD with good results; with proper methodology, these measurements could be used as an aid to program DBS. Muscle activation measurements were performed for 13 patients who had advanced PD and were treated with DBS. The DBS pulse voltage, frequency, and width were changed during the measurements. The measured EMG signals were analysed with parameters that characterise the EMG signal morphology, and the results were compared to the clinical outcome of the adjustment. The EMG signal correlation dimension, recurrence rate, and kurtosis changed significantly when the DBS settings were changed. DBS adjustment affected the signal recurrence rate the most. Relative to the optimal settings, increased recurrence rates (median ± IQR) 1.1 ± 0.5 (-0.3 V), 1.3 ± 1.1 (+0.3 V), 1.7 ± 0.4 (-30 Hz), 1.7 ± 0.8 (+30 Hz), 2.0 ± 1.7 (+30 μs), and 1.5 ± 1.1 (DBS off) were observed. With optimal stimulation settings, the patients' Unified Parkinson's Disease Rating Scale motor part (UPDRS-III) score decreased by 35% on average compared to turning the device off. However, the changes in UPRDS-III arm tremor and rigidity scores did not differ significantly in any settings compared to the optimal stimulation settings. Adjustment of DBS treatment alters the muscle activation patterns in PD patients. The changes in the muscle activation patterns can be observed with EMG, and the parameters calculated from the signals differ between optimal and non-optimal settings of DBS. This provides a possibility for using the EMG-based measurement to aid the clinicians to adjust the DBS.