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Bansal K, Clark DJ, Fox EJ, Rose DK. Sympathetic nervous system responses during complex walking tasks and community ambulation post-stroke. Sci Rep 2023; 13:20068. [PMID: 37974001 PMCID: PMC10654447 DOI: 10.1038/s41598-023-47365-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 11/13/2023] [Indexed: 11/19/2023] Open
Abstract
Stroke survivors frequently report increased perceived challenge of walking (PCW) in complex environments, restricting their daily ambulation. PCW is conventionally measured through subjective questionnaires or, more recently, through objective quantification of sympathetic nervous system activity during walking tasks. However, how these measurements of PCW reflect daily walking activity post-stroke is unknown. We aimed to compare the subjective and objective assessments of PCW in predicting home and community ambulation. In 29 participants post-stroke, we measured PCW subjectively with the Activities-specific Balance Confidence (ABC) Scale and objectively through electrodermal activity, quantified by change in skin conductance levels (SCL) and skin conductance responses (SCR) between outdoor-complex and indoor-steady-state walking. High-PCW participants were categorized into high-change SCL (ΔSCL ≥ 1.7 μs), high-change SCR (ΔSCR ≥ 0.2 μs) and low ABC (ABC < 72%) groups, while low-PCW participants were categorized into low-change SCL (ΔSCL < 1.7 μs), low-change SCR (ΔSCR < 0.2 μs) and high-ABC (ABC ≥ 72%) groups. Number and location of daily steps were quantified with accelerometry and Global Positioning System devices. Compared to low-change SCL group, the high-change SCL group took fewer steps in home and community (p = 0.04). Neither ABC nor SCR groups differed in home or community steps/day. Objective measurement of PCW via electrodermal sensing more accurately represents home and community ambulation compared to the subjective questionnaire.
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Affiliation(s)
- Kanika Bansal
- Department of Physical Therapy, University of Mount Union, 1972, Clark Ave, Alliance, OH, 44601-3993, USA.
| | - David J Clark
- University of Florida, Gainesville, FL, USA
- Brain Rehabilitation Research Center, Malcolm Randall Veterans Affair Medical Center, Gainesville, FL, USA
| | - Emily J Fox
- University of Florida, Gainesville, FL, USA
- Brooks Rehabilitation, Jacksonville, FL, USA
| | - Dorian K Rose
- University of Florida, Gainesville, FL, USA
- Brain Rehabilitation Research Center, Malcolm Randall Veterans Affair Medical Center, Gainesville, FL, USA
- Brooks Rehabilitation, Jacksonville, FL, USA
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2
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Halimeh M, Jackson M, Vieluf S, Loddenkemper T, Meisel C. Explainable AI for wearable seizure logging: Impact of data quality, patient age, and antiseizure medication on performance. Seizure 2023; 110:99-108. [PMID: 37336056 DOI: 10.1016/j.seizure.2023.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 05/16/2023] [Accepted: 06/04/2023] [Indexed: 06/21/2023] Open
Abstract
OBJECTIVE Objective seizure count estimates are crucial for ambulatory epilepsy management. Wearables have shown promise for the detection of tonic-clonic seizures but may suffer from false alarms and undetected seizures. Seizure signatures recorded by wearables often occur over prolonged periods, including increased levels of electrodermal activity and heart rate long after seizure EEG onset, however, previous detection methods only partially exploited these signatures. Understanding the utility of these prolonged signatures for seizure count estimation and what factors generally determine seizure logging performance, including the role of data quality vs. algorithm performance, is thus crucial for improving wearables-based epilepsy monitoring and determining which patients benefit most from this technology. METHODS In this retrospective study we examined 76 pediatric epilepsy patients during multiday video-EEG monitoring equipped with a wearable (Empatica E4; records of electrodermal activity, EDA, accelerometry, ACC, heart rate, HR; 1983 h total recording time; 45 tonic-clonic seizures). To log seizures on prolonged data trends, we applied deep learning on continuous overlapping 1-hour segments of multimodal data in a leave-one-subject-out approach. We systematically examined factors influencing logging performance, including patient age, antiseizure medication (ASM) load, seizure type and duration, and data artifacts. To gain insights into algorithm function and feature importance we applied Uniform Manifold Approximation and Projection (UMAP, to represent the separability of learned features) and SHapley Additive exPlanations (SHAP, to represent the most informative data signatures). RESULTS Performance for tonic-clonic seizure logging increased systematically with patient age (AUC 0.61 for patients 〈 11 years, AUC 0.77 for patients between 11-15 years, AUC 0.85 for patients 〉 15 years). Across all ages, AUC was 0.75 corresponding to a sensitivity of 0.52 and a false alarm rate of 0.28/24 h. Seizures under high ASM load or with shorter duration were detected worse (P=.025, P=.033, respectively). UMAP visualized discriminatory power at the individual patient level, SHAP analyses identified clonic motor activity and peri/postictal increases in HR and EDA as most informative. In contrast, in missed seizures, these features were absent indicating that recording quality but not the algorithm caused the low sensitivity in these patients. SIGNIFICANCE Our results demonstrate the utility of prolonged, postictal data segments for seizure logging, contribute to algorithm explainability and point to influencing factors, including high ASM dose and short seizure duration. Collectively, these results may help to identify patients who particularly benefit from such technology.
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Affiliation(s)
- Mustafa Halimeh
- Computational Neurology Lab, Department of Neurology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Michele Jackson
- Division of Epilepsy and Clinical Neurophysiology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
| | - Solveig Vieluf
- Division of Epilepsy and Clinical Neurophysiology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
| | - Tobias Loddenkemper
- Division of Epilepsy and Clinical Neurophysiology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
| | - Christian Meisel
- Computational Neurology Lab, Department of Neurology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; Center for Stroke Research Berlin, Berlin, Germany; Berlin Institute of Health, Berlin, Germany; NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Berlin, Germany; Bernstein Center for Computational Neuroscience, Berlin, Germany.
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Wu CS, Liao SC, Huang WL. Use of machine learning to diagnose somatic symptom disorder: Are the biomarkers beneficial for the diagnosis? World J Biol Psychiatry 2022:1-11. [PMID: 36408683 DOI: 10.1080/15622975.2022.2149853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
OBJECTIVES We used machine learning to incorporate three types of biomarkers (respiratory sinus arrhythmia, RSA; skin conductance, SC; finger temperature, FT) for examining the performance of diagnosing somatic symptom disorder (SSD). METHODS We recruited 97 SSD subjects and 96 controls without psychiatric history or somatic distress. The values of RSA, SC and FT were recorded in three situations (resting state, under a cognitive task and under paced breathing) and compared for the two populations. We used machine learning to combine the biological signals and then applied receiver operating characteristic curve analysis to examine the performance of diagnosing SSD regarding the distinct indicators and situations. Subgroup analysis for subjects without depression/anxiety was also conducted. RESULTS FT was significantly different between SSD patients and controls, especially in the resting state and under paced breathing. However, the biomarkers (0.75-0.76) did not reveal an area under the curve (AUC) comparable with the psychological questionnaires (0.86). Combining the biological and psychological indicators gave a high AUC (0.86-0.92). When excluding individuals with depression/anxiety, combining three biomarkers (0.79-0.83) and adopting psychological questionnaires (0.78) revealed a similar AUC. CONCLUSIONS The performance of RSA/SC/FT was unsatisfactory for diagnosing SSD but became comparable when excluding comorbid depression/anxiety.
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Affiliation(s)
- Chi-Shin Wu
- National Center for Geriatrics and Welfare Research, National Health Research Institutes, Miaoli, Taiwan.,Department of Psychiatry, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan
| | - Shih-Cheng Liao
- Department of Psychiatry, College of Medicine, National Taiwan University, Taipei, Taiwan.,Department of Psychiatry, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu Hospital, Hsinchu, Taiwan
| | - Wei-Lieh Huang
- Department of Psychiatry, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan.,Department of Psychiatry, College of Medicine, National Taiwan University, Taipei, Taiwan.,Cerebellar Research Center, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan
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4
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Huang WL, Ko LC, Liao SC. The association between heart rate variability and skin conductance: a correlation analysis in healthy individuals and patients with somatic symptom disorder comorbid with depression and anxiety. J Int Med Res 2022; 50:3000605221127104. [PMID: 36177841 PMCID: PMC9528031 DOI: 10.1177/03000605221127104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Objective To investigate the correlations between heart rate variability (HRV) and skin conductance (SC) in two populations under three different situations. Methods This cross-sectional study enrolled patients with somatic symptom disorder comorbid with depression and anxiety and healthy individuals without a psychiatric history. The biological signals were measured under three conditions: resting state, during a cognitive task and during paced breathing. Pearson’s correlation analysis and the generalized estimating equation were used to examine the correlations between SC and HRV in the two populations under the three situations. Results The study enrolled 97 patients with somatic symptom disorder comorbid with depression and anxiety and 96 healthy individuals. In healthy individuals, the ratio of low-frequency power to high frequency power (LF/HF) and normalized LF (LF%) were significantly correlated with SC in the resting state and during a cognitive task, but the correlation coefficients were low level. In patients with somatic symptom disorder comorbid with depression and anxiety, LF/HF and LF% did not show significant correlations with SC under any situation. Conclusions The two different populations and three situations might have affected the significance of the LF/HF-SC and LF%-SC correlations. The generally low correlations indicate that LF/HF and LF% cannot fully reflect the sympathetic cholinergic activity represented by SC.
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Affiliation(s)
- Wei-Lieh Huang
- Department of Psychiatry, National Taiwan University Hospital Yunlin Branch, Yunlin.,Department of Psychiatry, College of Medicine, National Taiwan University, Taipei.,Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei
| | - Li-Chin Ko
- Department of Neurology, National Taiwan University Hospital, Taipei
| | - Shih-Cheng Liao
- Department of Psychiatry, College of Medicine, National Taiwan University, Taipei.,Department of Psychiatry, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu Hospital, Hsin-Chu City
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5
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Grossini E, Stecco A, Gramaglia C, De Zanet D, Cantello R, Gori B, Negroni D, Azzolina D, Ferrante D, Feggi A, Carriero A, Zeppegno P. Misophonia: Analysis of the neuroanatomic patterns at the basis of psychiatric symptoms and changes of the orthosympathetic/ parasympathetic balance. Front Neurosci 2022; 16:827998. [PMID: 36033627 PMCID: PMC9406292 DOI: 10.3389/fnins.2022.827998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 07/14/2022] [Indexed: 11/16/2022] Open
Abstract
Background/Aim Misophonia is a disorder characterized by reduced tolerance to specific sounds or stimuli known as “triggers,” which tend to evoke negative emotional, physiological, and behavioral responses. In this study, we aimed to better characterize participants with misophonia through the evaluation of the response of the autonomic nervous system to “trigger sounds,” a psychometric assessment, and the analysis of the neurological pathways. Materials and methods Participants included 11 adults presenting with misophonic disturbance and 44 sex-matched healthy controls (HCs). Following recently proposed diagnostic criteria, the participants listened to six “trigger sounds” and a “general annoyance” sound (baby crying) during a series of physiological tests. The effects were examined through functional magnetic resonance imaging (fMRI), the analysis of heart rate variability (HRV), and of galvanic skin conductance (GSC). The fMRI was performed on a 3T Scanner. The HRV was obtained through the analysis of electrocardiogram, whereas the GSC was examined through the positioning of silver-chloride electrodes on fingers. Furthermore, the psychometric assessment included questionnaires focused on misophonia, psychopathology, resilience, anger, and motivation. Results Participants with misophonia showed patterns of increased sympathetic activation in response to trigger sounds and a general annoyance sound, the low frequency (LF) component of HRV, the sympathetic index, and the number of significant GSC over the threshold, where the amplitude/phasic response of GSC was higher. The fMRI analysis provided evidence for the activation of the temporal cortex, the limbic area, the ventromedial prefrontal/premotor/cingulate cortex, and the cerebellum in participants with misophonia. In addition, the psychometric assessment seemed to differentiate misophonia as a construct independent from general psychopathology. Conclusion These results suggest the activation of a specific auditory-insula-limbic pathway at the basis of the sympathetic activation observed in participants with misophonia in response to “trigger and general annoyance sounds.” Further studies should disentangle the complex issue of whether misophonia represents a new clinical disorder or a non-pathological condition. These results could help to build diagnostic tests to recognize and better classify this disorder. The relevance of this question goes beyond purely theoretical issues, as in the first case, participants with misophonia should receive a diagnosis and a targeted treatment, while in the second case, they should not.
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Affiliation(s)
- Elena Grossini
- Laboratory of Physiology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
- *Correspondence: Elena Grossini,
| | - Alessandro Stecco
- Radiology Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Carla Gramaglia
- Psychiatry Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Daniel De Zanet
- Laboratory of Physiology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Roberto Cantello
- Neurology Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Benedetta Gori
- Neurology Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Davide Negroni
- Radiology Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Danila Azzolina
- Statistic Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Daniela Ferrante
- Statistic Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Alessandro Feggi
- Psychiatry Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Alessandro Carriero
- Radiology Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Patrizia Zeppegno
- Psychiatry Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
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Stress and emotional arousal in urban environments: A biosocial study with persons having experienced a first-episode of psychosis and persons at risk. Health Place 2022; 75:102762. [PMID: 35286900 DOI: 10.1016/j.healthplace.2022.102762] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 01/25/2022] [Accepted: 02/02/2022] [Indexed: 11/22/2022]
Abstract
This article examines the entanglement between feelings of stress and discomfort, physiological arousal and urban experiences of persons living with early psychosis. It adopts a biosocial approach, using mixed methods combining ambulatory skin conductance monitoring, mobile interviews and contextual data, collected through GPS and video recordings. The study draws on and strives to cross-fertilize two recent strands of research. The first relates to the use of digital phenotyping in mental health research. The second explores stress and emotional arousal in cities using ambulatory physiological measures. Empirically, the paper is based on fieldwork in Basel, Switzerland, with nine participants recruited within the Basel Early Treatment Service (BEATS), and four controls. We focus on three salient elements in our results: visual perception of moving bodies, spatial transitions and openness and enclosure of the built environment. The analysis shows how these elements elicit physiological responses of arousal and expressed feelings of discomfort. In the concluding section we discuss the methodological implications of these results and suggest the notion of regime of attention as a focus for future biosocial research on urban mental health.
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Halimeh M, Yang Y, Sheehan T, Vieluf S, Jackson M, Loddenkemper T, Meisel C. Wearable device assessments of antiseizure medication effects on diurnal patterns of electrodermal activity, heart rate, and heart rate variability. Epilepsy Behav 2022; 129:108635. [PMID: 35278938 DOI: 10.1016/j.yebeh.2022.108635] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 02/04/2022] [Accepted: 02/19/2022] [Indexed: 11/03/2022]
Abstract
Patient-generated health data provide a great opportunity for more detailed ambulatory monitoring and more personalized treatments in many diseases. In epilepsy, robust diagnostics applicable to the ambulatory setting are needed as diagnosis and treatment decisions in current clinical practice are primarily reliant on patient self-reports, which are often inaccurate. Recent work using wearable devices has focused on methods to detect and forecast epileptic seizures. Whether wearable device signals may also contain information about the effect of antiseizure medications (ASMs), which may ultimately help to better monitor their efficacy, has not been evaluated yet. Here we systematically investigated the effect of ASMs on different data modalities (electrodermal activity, EDA, heart rate, HR, and heart rate variability, HRV) simultaneously recorded by a wearable device in 48 patients with epilepsy over several days in the epilepsy long-term monitoring unit at a tertiary hospital. All signals exhibited characteristic diurnal variations. HRV, but not HR or EDA-based metrics, were reduced by ASMs. By assessing multiple signals related to the autonomic nervous system simultaneously, our results provide novel insights into the effects of ASMs on the sympathetic and parasympathetic interplay in the setting of epilepsy and indicate the potential of easy-to-wear wearable devices for monitoring ASM action. Future work using longer data may investigate these metrics on multidien cycles and their utility for detecting seizures, assessing seizure risk, or informing treatment interventions.
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Affiliation(s)
- Mustafa Halimeh
- Computational Neurology, Department of Neurology, Charité - Universitätsmedizin Berlin, Germany; Berlin Institute of Health, Germany
| | - Yonghua Yang
- Hospital of Xi'an Jiaotong University, Pediatric Department, Shaanxi, China
| | | | | | | | | | - Christian Meisel
- Computational Neurology, Department of Neurology, Charité - Universitätsmedizin Berlin, Germany; Berlin Institute of Health, Germany.
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Kong Y, Posada-Quintero HF, Chon KH. Sensitive Physiological Indices of Pain Based on Differential Characteristics of Electrodermal Activity. IEEE Trans Biomed Eng 2021; 68:3122-3130. [PMID: 33705307 DOI: 10.1109/tbme.2021.3065218] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Electrodermal activity (EDA) has been widely used to assess human response to stressful stimuli, including pain. Recently, spectral analysis of EDA has been found to be more sensitive and reproducible for assessment of sympathetic arousal than traditional indices (e.g., tonic and phasic components). However, none of the aforementioned analyses incorporate the differential characteristics of EDA, which could be more sensitive to capturing fast-changing dynamics associated with pain responses. METHODS We have tested the feasibility of using the derivative of phasic EDA and the modified time-varying spectral analysis of EDA. Sixteen subjects underwent four levels of pain stimulation using electric stimulation. Five-second segments of EDA were used for each level of stimulation, and pre-stimulation segments were considered stimulation level 0. We used support vector machines with the radial basis function kernel and multi-layer perceptron for three different scenarios of stimulation-level classification tasks: five stimulation levels (four levels of stimulation plus no stimulation); low, medium, and high pain stimulation (stimulation levels 0-1, 2, and 3-4, respectively); and high stimulation levels (stimulation levels 3-4) vs. no stimulation. RESULTS The maximum balanced accuracies were 44% (five stimulation levels), 63% (for low, medium, and high pain stimulation), and 87% (sensitivity 83% and specificity 89%, for high stimulation vs. no stimulation). CONCLUSION The differential characteristics of EDA contributed highly to the accuracy of pain stimulation level detection of the classifiers. The external validity dataset was not considered in the study. SIGNIFICANCE Our approach has the potential for accurate pain quantification using EDA.
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Goudman L, De Smedt A, Louis F, Stalmans V, Linderoth B, Rigoard P, Moens M. The Link Between Spinal Cord Stimulation and the Parasympathetic Nervous System in Patients With Failed Back Surgery Syndrome. Neuromodulation 2021; 25:128-136. [PMID: 33987891 DOI: 10.1111/ner.13400] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 03/18/2021] [Accepted: 03/30/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVES In patients with chronic pain, a relative lower parasympathetic activity is suggested based on heart rate variability measurements. It is hypothesized that spinal cord stimulation (SCS) is able to influence the autonomic nervous system. The aim of this study is to further explore the influence of SCS on the autonomic nervous system by evaluating whether SCS is able to influence skin conductance, blood volume pulse, heart rate, and respiration rate. MATERIALS AND METHODS Twenty-eight patients with Failed Back Surgery Syndrome (FBSS), who are treated with SCS, took part in this multicenter study. Skin conductance and cardiorespiratory parameters (blood volume pulse, heart rate, and respiration rate) were measured during on and off states of SCS. Paired statistics were performed on a 5-min recording segment for all parameters. RESULTS SCS significantly decreased back and leg pain intensity scores in patients with FBSS. Skin conductance level and blood volume pulse were not altered between on and off states of SCS. Heart rate and respiration rate significantly decreased when SCS was activated. CONCLUSIONS Parameters that are regulated by the sympathetic nervous system were not significantly different between SCS on and off states, leading to the hypothesis that SCS is capable of restoring the dysregulation of the autonomic nervous system by primarily increasing the activity of the parasympathetic system, in patients with FBSS.
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Affiliation(s)
- Lisa Goudman
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Jette, Belgium.,Center for Neurosciences (C4N), Vrije Universiteit Brussel, Jette, Belgium.,Pain in Motion International Research Group (PAIN), Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Jette, Belgium.,STIMULUS Consortium (reSearch and TeachIng neuroModULation Uz bruSsel), Universitair Ziekenhuis Brussel, Jette, Belgium
| | - Ann De Smedt
- Center for Neurosciences (C4N), Vrije Universiteit Brussel, Jette, Belgium.,STIMULUS Consortium (reSearch and TeachIng neuroModULation Uz bruSsel), Universitair Ziekenhuis Brussel, Jette, Belgium.,Department of Physical Medicine and Rehabilitation, Universitair Ziekenhuis Brussel, Jette, Belgium
| | - Frédéric Louis
- Clinique de la douleur, Clinique Sainte-Elisabeth-CHC, Verviers, Belgium
| | - Virginie Stalmans
- Clinique de la douleur, Clinique Sainte-Elisabeth-CHC, Verviers, Belgium
| | - Bengt Linderoth
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Philippe Rigoard
- Department of Spine, Neuromodulation and Rehabilitation, Poitiers University Hospital, Poitiers, France.,Institut Pprime UPR 3346, CNRS, ISAE-ENSMA, University of Poitiers, Poitiers, France.,PRISMATICS Lab (Predictive Research in Spine/Neuromodulation Management and Thoracic Innovation/Cardiac Surgery), Poitiers University Hospital, Poitiers, France
| | - Maarten Moens
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Jette, Belgium.,Center for Neurosciences (C4N), Vrije Universiteit Brussel, Jette, Belgium.,Pain in Motion International Research Group (PAIN), Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Jette, Belgium.,STIMULUS Consortium (reSearch and TeachIng neuroModULation Uz bruSsel), Universitair Ziekenhuis Brussel, Jette, Belgium.,Department of Radiology, Universitair Ziekenhuis Brussel, Jette, Belgium
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10
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Lascurain-Aguirrebeña I, Newham DJ, Galindez-Ibarbengoetxea X, Casado-Zumeta X, Lertxundi A, Critchley DJ. Association between sympathoexcitatory changes and symptomatic improvement following cervical mobilisations in participants with neck pain. A double blind placebo controlled trial. Musculoskelet Sci Pract 2019; 42:90-97. [PMID: 31075730 DOI: 10.1016/j.msksp.2019.05.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 04/25/2019] [Accepted: 05/01/2019] [Indexed: 11/16/2022]
Abstract
BACKGROUND sympathoexcitation observed with passive cervical mobilisations may imply activation of an endogenous pain inhibition system resulting in hypoalgesia. However, research is mostly in asymptomatic participants and there is very limited evidence of a relationship between sympathoexcitation and symptomatic improvement in people with clinical pain. OBJECTIVE to investigate the effects of cervical mobilisations on the sympathetic nervous system in participants with neck pain, and to explore the relationship between symptomatic improvement and sympathoexcitation. DESIGN double-blind randomised controlled trial. METHOD 40 participants with neck pain (aged 20-69 years, 25 female) were randomly allocated to either cervical mobilisations or motionless placebo. Skin conductance was measured before, during, and after intervention. After interventions were completed, their credibility was assessed. Participants were classified as responders or non-responders according to global symptom change. RESULTS participants receiving mobilisations were more likely to be classified as responders (odds ratio: 4.33, p = 0.03) and demonstrated greater change in most outcome measures of sympathoexcitation from baseline to during the intervention but not from during to after the intervention. There was no association between sympathoexcitation and symptomatic improvement. Mobilisations and placebo were equally credible. CONCLUSIONS These findings suggest sympathoexcitatory changes may be caused by an orienting response unrelated to the activation of an endogenous pain inhibition system Alternatively, the observed lack of an association may be explained by the existence of various mechanisms for pain relief. This study used single outcome measures of sympathoexcitation and symptomatic improvement and other measures may reveal different things. CLINICALTRIALS. GOV NUMBER M10/2016/095.
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Affiliation(s)
- Ion Lascurain-Aguirrebeña
- Division of Health and Social Care Research, Faculty of Life Sciences & Medicine, King's College London, London, SE1 1UL, United Kingdom; Department of Physiology, Faculty of Medicine & Infirmary, University of the Basque Country UPV/EHU, Leioa, 48940, Spain.
| | - Di J Newham
- Centre of Human & Applied Physiological Sciences, Faculty of Life Sciences & Medicine, King's College London, London, SE1 1UL, United Kingdom.
| | - Xabier Galindez-Ibarbengoetxea
- Department of Physiology, Faculty of Medicine & Infirmary, University of the Basque Country UPV/EHU, Leioa, 48940, Spain.
| | | | - Aitana Lertxundi
- Department of Preventive Medicine and Public Health, University of the Basque Country UPV/EHU, Leioa, 48940, Spain; Health Research Institute, Biodonostia, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Barcelona, Spain.
| | - Duncan J Critchley
- Division of Health and Social Care Research, Faculty of Life Sciences & Medicine, King's College London, London, SE1 1UL, United Kingdom.
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Chatterjee SA, Rose DK, Porges EC, Otzel DM, Clark DJ. A Perspective on Objective Measurement of the Perceived Challenge of Walking. Front Hum Neurosci 2019; 13:161. [PMID: 31139069 PMCID: PMC6527756 DOI: 10.3389/fnhum.2019.00161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 04/30/2019] [Indexed: 11/13/2022] Open
Abstract
Perceived challenge of walking is a broad term that we use to encompass walking-related anxiety, balance self-efficacy/confidence, and fear of falling. Evidence shows that even after accounting for physical performance capabilities, a higher perceived challenge can cause individuals to self-impose restrictions in walking-related activities. Perceived challenge is typically measured by self-report, which is susceptible to subjective measurement bias and error. We assert that measurement of perceived challenge can be enhanced by augmenting self-report with objective, physiologically based measures. A promising approach that has emerged in the literature is measurement of sympathetic nervous system (SNS) activity by recording skin conductance. Heightened SNS activity is a physiological stress response to conditions that are cognitively, emotionally, or physically challenging. In the present article, we explain the rationale and physiological basis for measuring SNS activity to assess perceived challenge of walking. We also present existing and new evidence supporting the feasibility of this approach for assessing perceived challenge in lab-based and real-world walking environments. Future research directions are also discussed.
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Affiliation(s)
- Sudeshna A Chatterjee
- Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, FL, United States.,Department of Physical Therapy, University of Florida, Gainesville, FL, United States
| | - Dorian K Rose
- Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, FL, United States.,Department of Physical Therapy, University of Florida, Gainesville, FL, United States
| | - Eric C Porges
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
| | - Dana M Otzel
- Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, FL, United States.,Department of Aging and Geriatric Research, University of Florida, Gainesville, FL, United States
| | - David J Clark
- Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, FL, United States.,Department of Aging and Geriatric Research, University of Florida, Gainesville, FL, United States
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