scholarly journals A functional linear modeling approach to sleep–wake cycles in dogs

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Hope J. Woods ◽  
Ming Fei Li ◽  
Ujas A. Patel ◽  
B. Duncan X. Lascelles ◽  
David R. Samson ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Cognitive Dysfunction ◽  
Healthy Adult ◽  
Activity Patterns ◽  
Linear Modeling ◽  
Activity Monitors ◽  
Companion Dogs ◽  
Non Invasive ◽  
Normal Sleep ◽  
The Times

AbstractThe study of companion (pet) dogs is an area of great translational potential, as they share a risk for many conditions that afflict humans. Among these are conditions that affect sleep, including chronic pain and cognitive dysfunction. Significant advancements have occurred in the ability to study sleep in dogs, including development of non-invasive polysomnography; however, basic understanding of dog sleep patterns remains poorly characterized. The purpose of this study was to establish baseline sleep–wake cycle and activity patterns using actigraphy and functional linear modeling (FLM), for healthy, adult companion dogs. Forty-two dogs were enrolled and wore activity monitors for 14 days. FLM demonstrated a bimodal pattern of activity with significant effects of sex, body mass, and age; the effect of age was particularly evident during the times of peak activity. This study demonstrated that FLM can be used to describe normal sleep–wake cycles of healthy adult dogs and the effects of physiologic traits on these patterns of activity. This foundation makes it possible to characterize deviations from normal patterns, including those associated with chronic pain and cognitive dysfunction syndrome. This can improve detection of these conditions in dogs, benefitting them and their potential as models for human disease.

Reliability of a New Method to Determine Foot Arch Height for Clinicians

2019 ◽  
Vol 109 (3) ◽  
pp. 187-192
Author(s):  
James A. Charles ◽  
Clare Mignot ◽  
Herbert F. Jelinek
Keyword(s):  
Gold Standard ◽  
Routine Clinical Practice ◽  
Arch Height ◽  
Linear Modeling ◽  
Important Indicator ◽  
Non Invasive ◽  
Foot Arch ◽  
Arch Index ◽  
Post Hoc ◽  
Processing Steps

Background: Arch height is an important indicator of risk of foot pathology. The current non-invasive gold standard based on footprint information requires extensive pre-processing. Methods used to obtain arch height that are accurate and easier to use are required in routine clinical practice. Methods: The proposed arch index diagonals (AId) method for determining the arch index (AI) reduces the complexity of the preprocessing steps. All footprints were first prepared as required by the Cavanagh and Rodgers method for determining the AI and then compared to the proposed diagonals method. Results were classified according to the Cavanagh and Rodgers cut-off values into three groups of low, normal and high AI. ANOVA and Tukey's post hoc tests were applied to identify significant differences between AI groups. Linear modeling was applied to determine the fit of the new AId method compared to the Cavanagh and Rodgers AI. Results: One hundred and ninety-six footprints were analyzed. The ANOVA indicated significant differences between the groups for AId (F1,194=94.49, p<0.0001) and the Tukey post hoc tests indicated significant differences between the pair-wise comparisons (p<0.001). Linear modeling indicated that the AId ratio classified more footprints in the high arch group compared to Cavanagh and Rodgers results (R2=32%, p< 0.01). Intra- and inter-rater correspondence was above 90% and confirmed that the AId results provided a better indication of arch height. Conclusions: The proposed method simplifies current processing steps to derive the arch height.

Activity rhythms of southern brown bandicoots Isoodon obesulus (Marsupialia: Peramelidae) in captivity.

2003 ◽  
Vol 25 (1) ◽  
pp. 81 ◽  
Author(s):  
AN Larcombe
Keyword(s):  
Western Australia ◽  
Activity Patterns ◽  
Time Lapse ◽  
Climatic Conditions ◽  
Late Afternoon ◽  
Activity Rhythms ◽  
Natural Lighting ◽  
Infra Red ◽  
In Captivity ◽  
The Times

The temporal activity patterns of individually housed captive southern brown bandicoots (Isoodon obesulus) were recorded using time-lapse infra-red videorecording. Recordings were made over a period of four continuous days per animal under natural lighting and climatic conditions for Perth, Western Australia during March 2002. Analysis showed that all bandicoots were almost entirely nocturnal and spent ~71% (~17 hr day-1) of their time in their nests. The times of onset of activity were remarkably regular, and occurred both following feeding during the late afternoon and again after dusk (average 1841 hrs). Bandicoots were active for an average of ~7 hr night-1. Virtually all activity involved the bandicoots running around their enclosures (~6.5 hr day-1). This running was interspersed with shorter periods spent feeding (~25 min day-1), grooming (~8 min day-1) and drinking (~2 min day-1). No other behaviours were observed. There was a greater degree of variation in the time of cessation of activity between individuals. Time of cessation ranged from 0039 hrs ± 20 min to 0504 hrs ± 25 min. The average time of cessation of activity was 0315 hrs ± 61 min and was not related to either time of onset of activity or sunrise.

scholarly journals Treatment Preferences for CAM in Children with Chronic Pain

2007 ◽  
Vol 4 (3) ◽  
pp. 367-374 ◽  
Author(s):  
Jennie C. I. Tsao ◽  
Marcia Meldrum ◽  
Su C. Kim ◽  
Margaret C. Jacob ◽  
Lonnie K. Zeltzer
Keyword(s):  
Chronic Pain ◽  
Art Therapy ◽  
Multivariate Analyses ◽  
Treatment Preferences ◽  
Family Activities ◽  
Level Of Functioning ◽  
Non Invasive ◽  
Pediatric Chronic Pain ◽  
Pain Duration ◽  
Pediatric Populations

CAM therapies have become increasingly popular in pediatric populations. Yet, little is known about children's preferences for CAM. This study examined treatment preferences in chronic pediatric pain patients offered a choice of CAM therapies for their pain. Participants were 129 children (94 girls) (mean age = 14.5 years ± 2.4; range = 8–18 years) presenting at a multidisciplinary, tertiary clinic specializing in pediatric chronic pain. Bivariate and multivariate analyses were used to examine the relationships between CAM treatment preferences and patient's sociodemographic and clinical characteristics, as well as their self-reported level of functioning. Over 60% of patients elected to try at least one CAM approach for pain. The most popular CAM therapies were biofeedback, yoga and hypnosis; the least popular were art therapy and energy healing, with craniosacral, acupuncture and massage being intermediate. Patients with a diagnosis of fibromyalgia (80%) were the most likely to try CAM versus those with other pain diagnoses. In multivariate analyses, pain duration emerged as a significant predictor of CAM preferences. For mind-based approaches (i.e. hypnosis, biofeedback and art therapy), pain duration and limitations in family activities were both significant predictors. When given a choice of CAM therapies, this sample of children with chronic pain, irrespective of pain diagnosis, preferred non-invasive approaches that enhanced relaxation and increased somatic control. Longer duration of pain and greater impairment in functioning, particularly during family activities increased the likelihood that such patients agreed to engage in CAM treatments, especially those that were categorized as mind-based modalities.

Peripheral Neuromodulation: An Update

Ból ◽  
2017 ◽  
Vol 18 (1) ◽  
pp. 15-27 ◽  
Author(s):  
Teodor Goroszeniuk ◽  
Andrzej Król
Keyword(s):  
Chronic Pain ◽  
Peripheral Nerve ◽  
Nerve Stimulation ◽  
Pain Treatment ◽  
External Stimulation ◽  
Non Invasive ◽  
Technological Advances ◽  
Improved Outcomes ◽  
Chronic Pain Treatment ◽  
And Function

Peripheral nerve stimulation (PNS) is rapidly expanding area of neuromodulation with multiple new indications for chronic pain treatment and function improvement. Since the first percutaneous lead insertion in 1999, the proliferation of nonsurgical techniques with increasingly diverse stimulating targets has resulted that PNS is now a firmly established part of neuromodulation where the majority of new exciting developments are taking place. Non Invasive Peripheral External Stimulation plays an important part in the progress. It can offer a frequently less expensive alternative to the implantable techniques and it can be used outside specialised centers. Technological advances are allowing safer and more efficient uses of PNS with improved outcomes.

The role of avoidance, pacing, and other activity patterns in chronic pain

Pain ◽  
2007 ◽  
Vol 130 (1) ◽  
pp. 119-125 ◽  
Author(s):  
Lance M. McCracken ◽  
Victoria M. Samuel
Keyword(s):  
Chronic Pain ◽  
Activity Patterns

Assessment of cognitive dysfunction in companion dogs

2010 ◽  
Vol 5 (3) ◽  
pp. 153 ◽  
Author(s):  
P. Mongillo ◽  
J.A. Araujo ◽  
G.M. Landsberg ◽  
N.W. Milgram
Keyword(s):  
Cognitive Dysfunction ◽  
Companion Dogs

scholarly journals A non-invasive digital biomarker for the detection of rest disturbances in the SOD1G93A mouse model of ALS

2019 ◽  
Author(s):  
E. Golini ◽  
M. Rigamonti ◽  
F. Iannello ◽  
C. De Rosa ◽  
F. Scavizzi ◽  
...  
Keyword(s):  
Body Weight ◽  
Mouse Model ◽  
Motor Neurons ◽  
Sleep Disturbances ◽  
Activity Patterns ◽  
Non Invasive ◽  
Younger Age ◽  
Animal Activity ◽  
Sod1g93a Mouse

AbstractAmyotrophic Lateral Sclerosis (ALS) is a devastating neurodegenerative disease that affects both central and peripheral nervous system, leading to the degeneration of motor neurons, which eventually results in muscle atrophy, paralysis and death. Sleep disturbances are common in patients with ALS, leading to even further deteriorated quality of life. Investigating methods to potentially assess sleep and rest disturbances in animal models of ALS is thus of crucial interest.We used an automated home cage monitoring system (DVC®) to capture activity patterns that can potentially be associated with sleep and rest disturbances and thus to the progression of ALS in the SOD1G93A mouse model. DVC® enables non-intrusive 24/7 long term animal activity monitoring, which we assessed together with body weight decline and neuromuscular function deterioration measured by grid hanging and grip strength tests in male and female mice from 7 until 24 weeks of age.We show that as the ALS progresses over time in SOD1G93A mice, activity patterns during day time start becoming irregular, with frequent activity bouts that are neither observed in control mice nor in SOD1G93A at a younger age. The increasing irregularities of activity patterns during day time are quantitatively captured by designing a novel digital biomarker, referred to as Rest Disturbance Index (RDI). We show that RDI is a robust measure capable of detecting rest/sleep-related disturbances during the disease progression earlier than conventional methods, such as the grid hanging test. Moreover RDI highly correlates with grid hanging and body weight decline, especially in males.The non-intrusive long-term continuous monitoring of animal activity enabled by DVC® has been instrumental in discovering activity patterns potentially correlated with sleep and rest disturbances in the SOD1G93A mouse model of the ALS disease.

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