Influence of Individual Heart Rate on Nonlinear Brain-Heart Interactions Estimated by Convergent Cross Mapping in Schizophrenic Patients and Healthy Controls

2020 ◽  
Author(s):  
Karin Schiecke ◽  
Andy Schumann ◽  
Karl J. Baer
Keyword(s):  
Heart Rate ◽  
Healthy Controls ◽  
Schizophrenic Patients ◽  
Convergent Cross Mapping

Heart Rate Variability, Emotions, and Music

2010 ◽  
Vol 24 (2) ◽  
pp. 112-119 ◽  
Author(s):  
F. Riganello ◽  
A. Candelieri ◽  
M. Quintieri ◽  
G. Dolce
Keyword(s):  
Data Mining ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Vegetative State ◽  
Low Frequency ◽  
Emotional Reactions ◽  
Heart Beat ◽  
Healthy Controls ◽  
Frequency Spectra ◽  
Emotional Value

The purpose of the study was to identify significant changes in heart rate variability (an emerging descriptor of emotional conditions; HRV) concomitant to complex auditory stimuli with emotional value (music). In healthy controls, traumatic brain injured (TBI) patients, and subjects in the vegetative state (VS) the heart beat was continuously recorded while the subjects were passively listening to each of four music samples of different authorship. The heart rate (parametric and nonparametric) frequency spectra were computed and the spectra descriptors were processed by data-mining procedures. Data-mining sorted the nu_lf (normalized parameter unit of the spectrum low frequency range) as the significant descriptor by which the healthy controls, TBI patients, and VS subjects’ HRV responses to music could be clustered in classes matching those defined by the controls and TBI patients’ subjective reports. These findings promote the potential for HRV to reflect complex emotional stimuli and suggest that residual emotional reactions continue to occur in VS. HRV descriptors and data-mining appear applicable in brain function research in the absence of consciousness.

scholarly journals Association study of fibroblast growth factor genes and brain volumes in schizophrenic patients and healthy controls

2014 ◽  
Vol 24 (6) ◽  
pp. 283-284
Author(s):  
Afke F. Terwisscha van Scheltinga ◽  
Steven C. Bakker ◽  
Neeltje E.M. van Haren ◽  
Heleen B.M. Boos ◽  
Hugo G. Schnack ◽  
...  
Keyword(s):  
Growth Factor ◽  
Association Study ◽  
Fibroblast Growth Factor ◽  
Healthy Controls ◽  
Fibroblast Growth ◽  
Brain Volumes ◽  
Schizophrenic Patients ◽  
Growth Factor Genes

scholarly journals Autonomic cardiovascular response during and after a graded exercise test in concussed athletes and healthy controls

2021 ◽  
Vol 5 ◽  
pp. 205970022110448
Author(s):  
Alessandra Ventura ◽  
Fausto Romano ◽  
Mario Bizzini ◽  
Antonella Palla ◽  
Nina Feddermann
Keyword(s):  
Heart Rate ◽  
Cardiovascular System ◽  
Exercise Test ◽  
Cardiovascular Response ◽  
Heart Rate Recovery ◽  
Exercise Intolerance ◽  
Maximal Heart Rate ◽  
Healthy Controls ◽  
Graded Exercise Test ◽  
Graded Exercise

Objective Dysfunction of the autonomic cardiovascular system after a concussion is known to cause exercise intolerance due to symptoms exacerbation. The aim of this study was to compare athletes with symptoms of a sport-related concussion and healthy controls with regard to their heart rate during a graded exercise test and their heart rate recovery during the 5 min cool-down after the graded exercise test. Methods Sport-related concussion patients ( N = 61; 31% female) and controls ( N = 16; 50% female) participated in a graded exercise test on a cycle ergometer followed by 5 min active cool-down. Based on the results of graded exercise tests they were divided into four groups: (1) patients who reached the symptom threshold and had to stop the graded exercise test (symptom threshold; N = 39; 33.3% female), (2) patients with symptoms who finished the graded exercise test (S; N = 16; 25% female), (3) patients without symptoms (NS; N = 6; 33.3% female), (4) controls ( N = 16; 50% female). Main outcome measures Heart rate, severity of headache and dizziness during graded exercise test, heart rate recovery (median (heart rate recoveries/maximal heart rate) ± median absolute deviation (MAD)) 30, 60 and 300 s after the start of cool-down. Results Heart rate recovery at 30 s was significantly slower in symptom (0.95 ± 0.01) compared to all other groups ( p < 0.002; symptom threshold: 0.92 ± 0.02, NS: 0.91 ± 0.02, controls: 0.93 ± 0.02). Heart rate recovery at 60 s was significantly slower in symptom (0.90 ± 0.02) compared to the symptom threshold and controls ( p < 0.041; 0.86 ± 0.03, 0.85 ± 0.04). Heart rate recovery at 300 s was significantly slower in symptom threshold (0.72 ± 0.05) compared to controls ( p = 0.003; 0.66 ± 0.02). Conclusions Heart rate measurements in athletes with symptoms of sport-related concussion should be continued during cool-down after the graded exercise test, as dysfunction of the autonomic cardiovascular system might manifest also during cool-down.

scholarly journals Preoperative Heart Rate Variability During Sleep Predicts Vagus Nerve Stimulation Outcome Better in Patients With Drug-Resistant Epilepsy

2021 ◽  
Vol 12 ◽  
Author(s):  
Xi Fang ◽  
Hong-Yun Liu ◽  
Zhi-Yan Wang ◽  
Zhao Yang ◽  
Tung-Yang Cheng ◽  
...  
Keyword(s):  
Machine Learning ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Nerve Stimulation ◽  
Vagus Nerve Stimulation ◽  
Outcome Prediction ◽  
Healthy Controls ◽  
Drug Resistant ◽  
Sleep State ◽  
Drug Resistant Epilepsy

Objective: Vagus nerve stimulation (VNS) is an adjunctive and well-established treatment for patients with drug-resistant epilepsy (DRE). However, it is still difficult to identify patients who may benefit from VNS surgery. Our study aims to propose a VNS outcome prediction model based on machine learning with multidimensional preoperative heart rate variability (HRV) indices.Methods: The preoperative electrocardiography (ECG) of 59 patients with DRE and of 50 healthy controls were analyzed. Responders were defined as having at least 50% average monthly seizure frequency reduction at 1-year follow-up. Time domain, frequency domain, and non-linear indices of HRV were compared between 30 responders and 29 non-responders in awake and sleep states, respectively. For feature selection, univariate filter and recursive feature elimination (RFE) algorithms were performed to assess the importance of different HRV indices to VNS outcome prediction and improve the classification performance. Random forest (RF) was used to train the classifier, and leave-one-out (LOO) cross-validation was performed to evaluate the prediction model.Results: Among 52 HRV indices, 49 showed significant differences between DRE patients and healthy controls. In sleep state, 35 HRV indices of responders were significantly higher than those of non-responders, while 16 of them showed the same differences in awake state. Low-frequency power (LF) ranked first in the importance ranking results by univariate filter and RFE methods, respectively. With HRV indices in sleep state, our model achieved 74.6% accuracy, 80% precision, 70.6% recall, and 75% F1 for VNS outcome prediction, which was better than the optimal performance in awake state (65.3% accuracy, 66.4% precision, 70.5% recall, and 68.4% F1).Significance: With the ECG during sleep state and machine learning techniques, the statistical model based on preoperative HRV could achieve a better performance of VNS outcome prediction and, therefore, help patients who are not suitable for VNS to avoid the high cost of surgery and possible risks of long-term stimulation.

scholarly journals Diurnal Corrected QT Interval and QT Dispersion Variation in Non-Alcoholic Cirrhotic Patients and Healthy Control: A Case-Control Study, Iran

2020 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Taghi Amiriani ◽  
Vahid Khori ◽  
Ali Davarian ◽  
Niloofar Rajabli ◽  
Mahsa Niknam ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Diurnal Variation ◽  
Healthy Subjects ◽  
Alcoholic Cirrhosis ◽  
Qt Dispersion ◽  
Qtc Interval ◽  
Healthy Controls ◽  
Cirrhotic Patients ◽  
The Mean

Background: Cirrhosis could lead to a long corrected QT (QTc) interval in a subgroup of patients, but there are spare data on its diurnal variation. Objectives: The present study aimed to determine the diurnal variation of QTc interval and its relationship to heart rate and blood pressure variation during 24-hour Holter-monitoring in non-alcoholic cirrhosis in comparison with the healthy controls. Methods: The study population comprised 15 patients with non-alcoholic cirrhosis and 15 healthy subjects, undergoing 24-hour electrocardiogram (ECG), heart rate, and blood pressure monitoring. The mean QT interval, mean QTc, maximum and minimum QT, QT dispersion (QT disp), heart rate, and mean arterial blood pressure were measured for each person for 24 hours. Liver stiffness measurement (LSM) was performed by FibroScan® 502 machine (EchoSense, Paris, France, 5 MHz). The results were demonstrated as percentages and mean ± SD. P value ≤ 0.05 was considered significant. Results: Mean QTc was significantly higher in cirrhosis (438 ms) than healthy controls (401.7 ms) (P = 0.03). The mean heart rate was significantly different in cirrhotic patients (79.6 ± 2.9/bpm) compared to healthy controls (72.47 ± 2.0/bpm) (P = 0.05). Conclusions: In this study, QTc was prolonged and increased with the severity of cirrhosis, and its diurnal variation in cirrhosis was different from healthy subjects.

2402Reduced heart rate variability is linked to clinical status in patients with a systemic right ventricle

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
T E Zandstra ◽  
P Kies ◽  
S Man ◽  
A C Maan ◽  
M Bootsma ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Congestive Heart Failure ◽  
Autonomic Function ◽  
Clinical Status ◽  
Clinical Event ◽  
Healthy Controls ◽  
Significant Determinant ◽  
Systemic Right Ventricle ◽  
Event Score

Abstract Background Adult patients with congenital heart disease and a systemic right ventricle (sRV) are prone to develop heart failure. Decreased heart rate variability (HRV), a measure of autonomic dysfunction, is associated with morbidity and mortality in patients with congestive heart failure. The standard deviation of all intervals between normal sinus beats (SDNN) is a HRV parameter commonly reported as an indicator of autonomic function in these patients. Data about HRV and its clinical implications in patients with a sRV are scarce. Purpose To compare HRV parameters between patients with a sRV and healthy controls, and to assess their association with clinical status. Methods All available 24-hour Holter monitoring records of sRV patients under follow-up in our center and one record per healthy control subject were analysed. Holters with non-sinus rhythm were excluded. Time and frequency domain parameters were calculated and compared between both groups. Clinical landmarks such as arrhythmias or an episode of congestive heart failure, which occurred up until the time of the ambulatory ECG, were combined in a clinical event score. Determinants of SDNN were investigated with mixed model linear regression in the patients and with multivariate linear regression in the controls. Baseline characteristics, medication use, global longitudinal strain, validity as measured with bicycle exercise testing, and the clinical event score were taken into account. Results 113 Holters of 43 patients and 39 Holters of healthy controls were analysed. The patient group included 30 patients (70%) late after Mustard or Senning correction for transposition of the great arteries, and 13 patients with congenitally corrected transposition of the great arteries (30%). Age and gender were comparable in patients and controls. Several HRV parameters were significantly worse in patients compared with controls, including SDNN (138 in patients vs. 161 in controls, p=0.021). In the patients, clinical event score was the only significant determinant of a lower SDNN (p<0.001). In the controls, age was the only significant determinant of a lower SDNN (p=0.039). Conclusion Contrary to the healthy population, in patients with a sRV, HRV is associated with clinical status rather than age. This indicates that disease progression affects autonomic function more than ageing in this group. Further research is needed to clarify the relation between clinical outcome and autonomic function in sRV patients. Acknowledgement/Funding The Department of Cardiology of the LUMC received research grants from Medtronic, Biotronik, Boston Scientific and Edwards Lifesciences

scholarly journals Reduced heart rate variability predicts fatigue severity in individuals with chronic fatigue syndrome/myalgic encephalomyelitis

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Rosa María Escorihuela ◽  
Lluís Capdevila ◽  
Juan Ramos Castro ◽  
María Cleofé Zaragozà ◽  
Sara Maurel ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Chronic Fatigue Syndrome ◽  
Frequency Domain ◽  
Chronic Fatigue ◽  
Myalgic Encephalomyelitis ◽  
Healthy Controls ◽  
Fatigue Syndrome ◽  
Potential Biomarker ◽  
Fatigue Severity

Abstract Background Heart rate variability (HRV) is an objective, non-invasive tool to assessing autonomic dysfunction in chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME). People with CFS/ME tend to have lower HRV; however, in the literature there are only a few previous studies (most of them inconclusive) on their association with illness-related complaints. To address this issue, we assessed the value of different diurnal HRV parameters as potential biomarker in CFS/ME and also investigated the relationship between these HRV indices and self-reported symptoms in individuals with CFS/ME. Methods In this case–control study, 45 female patients who met the 1994 CDC/Fukuda definition for CFS/ME and 25 age- and gender-matched healthy controls underwent HRV recording-resting state tests. The intervals between consecutive heartbeats (RR) were continuously recorded over three 5-min periods. Time- and frequency-domain analyses were applied to estimate HRV variables. Demographic and clinical features, and self-reported symptom measures were also recorded. Results CFS/ME patients showed significantly higher scores in all symptom questionnaires (p < 0.001), decreased RR intervals (p < 0.01), and decreased HRV time- and frequency-domain parameters (p < 0.005), except for the LF/HF ratio than in the healthy controls. Overall, the correlation analysis reached significant associations between the questionnaires scores and HRV time- and frequency-domain measurements (p < 0.05). Furthermore, separate linear regression analyses showed significant relationships between self-reported fatigue symptoms and mean RR (p = 0.005), RMSSD (p = 0.0268) and HFnu indices (p = 0.0067) in CFS/ME patients, but not in healthy controls. Conclusions Our findings suggest that ANS dysfunction presenting as increased sympathetic hyperactivity may contribute to fatigue severity in individuals with ME/CFS. Further studies comparing short- and long-term HRV recording and self-reported outcome measures with previous studies in larger CFS/ME cohorts are urgently warranted.

INECO Frontal Screening: an Instrument to assess Executive Dysfunction in Schizophrenia

2014 ◽  
Vol 17 ◽  
Author(s):  
Tânia Silva ◽  
Luís Monteiro ◽  
Emanuela Lopes
Keyword(s):  
Executive Dysfunction ◽  
Wisconsin Card Sorting Test ◽  
Screening Tools ◽  
Control Group ◽  
Healthy Controls ◽  
Card Sorting ◽  
Schizophrenic Patients ◽  
Wisconsin Card Sorting ◽  
Sorting Test ◽  
Experimental Group

AbstractAlthough several brief sensitive screening tools are available to detect executive dysfunction, few have been developed to quickly assess executive functioning. The INECO Frontal Screening (IFS) is a brief tool which has proved be useful for the assessment of the executive functions in patients with dementia. The aim of this study was to explore whether the IFS is as sensitive and specific as the BADS, a battery designed to assess the dysexecutive syndrome, in schizophrenia. Our sample comprised a group of 34 schizophrenic patients (Mean age = 39.59, DP = 10.697) and 31 healthy controls (Mean age = 35.52, DP = 10.211). To all groups were administered the BADS, Wisconsin Card Sorting Test and IFS. The results suggest that schizophrenic patients performed significantly worse than the control group in all tests (p < .05). The IFS total score was 13.29 for the experimental group and 26.21 for the control group (p < .001). Considering a cut-off of 14 points, the IFS sensitivity was 100% and specificity 56% in detection of executive dysfunction in schizophrenia, compared with the BADS, that if we consider a cut-off of 11 points, was a sensitivity of 100% and a specificity of 50%. Thus, IFS is a brief, sensitive and specific tool for the detection of executive dysfunction in schizophrenia.

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