Jitka Bušková
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Jitka Bušková has a total of 42 co-authors. Here are the top co-authors by number of shared publications:
- Eva Miletínová
National Institute of Mental Health, Topolová 748, 250 67 Klecany, Czech Republic
3 shared publications - Martin Brunovsky
National Institute of Mental Health, Klecany, Czech Republic
3 shared publications Eva Miletínová
Department of Sleep Medicine, National Institute of Mental Health, Klecany, Czech Republic
2 shared publicationsKarel Šonka
Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
2 shared publicationsKarolína Galušková
Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
2 shared publications- Marek Piorecky
Faculty of Biomedical Engineering, Czech Technical University in Prague, Czech Republic and National institute of mental health, Czech Republic
2 shared publications
Latest Publications
- Open Access
- 29 November 2024
- Published by Charles University in Prague, Karolinum Press in Prague Medical Report
- Vol. 125 (4) , 289-301
Validation of the Idiopathic Hypersomnia Severity Scale in the Czech Republic
We have verified the eligibility of the Idiopathic Hypersomnia Severity Scale (IHSS) as a basic clinical tool for determining the subjective severity of illness in patients with idiopathic hypersomnia (IH) in the Czech Republic. Total of 37 patients with a diagnosis of IH (9 men, 28 women, mean age 40.2 ± 12.8) completed the IHSS scale. At the same time, they were instructed to complete the Epworth Sleepiness Scale (ESS), the Fatigue Severity Scale (FSS), the Hospital Anxiety and Depression Scales (HADS-A and HADS-D), and a short version of the Quality of Life Questionnaire (SF-36). The control group consisted of 88 age- and sex-matched healthy volunteers. The IHSS scale showed good internal consistency of the questionnaire using Cronbach’s α, which was 0.88. The KMO (Keiser-Meyer-Olkin index) was 0.72, confirming sufficient structural validity of the questionnaire. The correlation of the total IHSS score with the ESS (ρ = 0.59, p=0.0001) and FSS (ρ = 0.84, p<0.0001) as well as with the HADS-A scales (ρ = 0.64, p<0.0001), HADS-D (ρ = 0.79, p<0.0001) and SF-36 in both the mental (ρ = –0.85, p<0.0001) and physical health (ρ = –0.66, p<0.0001) components. The IHSS is a convenient and easy-to-apply clinical tool to assess subjective severity of illness, which describes well the symptoms of idiopathic hypersomnia and assesses their impact on health and daily activities.
- 29 November 2024
- Published by Charles University in Prague, Karolinum Press in Prague Medical Report
- Vol. 125 (4) , 289-301
Open AccessValidation of the Idiopathic Hypersomnia Severity Scale in the Czech Republic
We have verified the eligibility of the Idiopathic Hypersomnia Severity Scale (IHSS) as a basic clinical tool for determining the subjective severity of illness in patients with idiopathic hypersomnia (IH) in the Czech Republic. Total of 37 patients with a diagnosis of IH (9 men, 28 women, mean age 40.2 ± 12.8) completed the IHSS scale. At the same time, they were instructed to complete the Epworth Sleepiness Scale (ESS), the Fatigue Severity Scale (FSS), the Hospital Anxiety and Depression Scales (HADS-A and HADS-D), and a short version of the Quality of Life Questionnaire (SF-36). The control group consisted of 88 age- and sex-matched healthy volunteers. The IHSS scale showed good internal consistency of the questionnaire using Cronbach’s α, which was 0.88. The KMO (Keiser-Meyer-Olkin index) was 0.72, confirming sufficient structural validity of the questionnaire. The correlation of the total IHSS score with the ESS (ρ = 0.59, p=0.0001) and FSS (ρ = 0.84, p<0.0001) as well as with the HADS-A scales (ρ = 0.64, p<0.0001), HADS-D (ρ = 0.79, p<0.0001) and SF-36 in both the mental (ρ = –0.85, p<0.0001) and physical health (ρ = –0.66, p<0.0001) components. The IHSS is a convenient and easy-to-apply clinical tool to assess subjective severity of illness, which describes well the symptoms of idiopathic hypersomnia and assesses their impact on health and daily activities.
- Open Access
- 27 September 2023
- Published by Elsevier in Sleep Medicine: X
- Vol. 6, 100087
Sleep disorders after COVID-19 in Czech population: Post-lockdown national online survey
- 27 September 2023
- Published by Elsevier in Sleep Medicine: X
- Vol. 6, 100087
Open AccessSleep disorders after COVID-19 in Czech population: Post-lockdown national online survey
- 28 February 2023
- Published by Care Comm in Česká a slovenská neurologie a neurochirurgie
- Vol. 86/119 (1) , 63-68
Narcolepsy severity scale and its psychometric properties in patients with narcolepsy type 1 in the Czech Republic
- 28 February 2023
- Published by Care Comm in Česká a slovenská neurologie a neurochirurgie
- Vol. 86/119 (1) , 63-68
Narcolepsy severity scale and its psychometric properties in patients with narcolepsy type 1 in the Czech Republic
- Open Access
- 18 February 2023
- Published by MDPI AG in Brain Sciences
- Vol. 13 (2) , 357
Parasomnias in Pregnancy
Objectives: Pregnancy is often associated with reduced sleep quality and an increase in sleep disorders, such as restless leg syndrome, obstructive sleep apnea, and insomnia. There are few studies investigating the prevalence of parasomnias in pregnancy, although they may be expected to be a significant problem, as disturbed sleep in this time period in addition to these sleep disorders may trigger parasomnia episodes. Methods: We conducted a survey using an online questionnaire focusing on a comparison of the prevalence of parasomnias in three time periods: 3 months before pregnancy, during pregnancy, and 3 months after delivery. We also inquired about psychiatric and neurological comorbidities, current anxiety and depression symptoms, and pregnancy complications. Results: A total of 325 women (mean age 30.3 ± 5.3 years) participated in the online survey. The overall number of reported parasomnias increased during pregnancy compared to the 3 months before pregnancy (p < 0.001) and decreased after childbirth (p < 0.001). Specifically, we found a significant increase in sleepwalking (p = 0.02) and night terrors (p < 0.001), as well as in vivid dreams (p < 0.001) and nightmares (p < 0.001) during pregnancy. A similar significant increase during pregnancy was reported for head explosion (p < 0.011). In contrast, the number of episodes of sleep paralysis increased after delivery (p = 0.008). At the individual level, an increase in the severity/frequency of individual parasomnia episodes was also observed during pregnancy. Participants whose vivid dreams/nightmares persisted after delivery had higher BDI-II and STAI-T scores. Our data also suggest a significant impact of migraines and other chronic pain, as well as complications during pregnancy, on the presence of parasomnia episodes in our cohort. Conclusions: We have shown that the prevalence of parasomnias increases during pregnancy and needs to be targeted, especially by non-pharmacological approaches. At the same time, it is necessary to inquire about psychiatric and neurological comorbidities and keep in mind that more sleep disorders may be experienced by mothers who have medical complications during pregnancy.
- 18 February 2023
- Published by MDPI AG in Brain Sciences
- Vol. 13 (2) , 357
Open AccessParasomnias in Pregnancy
Objectives: Pregnancy is often associated with reduced sleep quality and an increase in sleep disorders, such as restless leg syndrome, obstructive sleep apnea, and insomnia. There are few studies investigating the prevalence of parasomnias in pregnancy, although they may be expected to be a significant problem, as disturbed sleep in this time period in addition to these sleep disorders may trigger parasomnia episodes. Methods: We conducted a survey using an online questionnaire focusing on a comparison of the prevalence of parasomnias in three time periods: 3 months before pregnancy, during pregnancy, and 3 months after delivery. We also inquired about psychiatric and neurological comorbidities, current anxiety and depression symptoms, and pregnancy complications. Results: A total of 325 women (mean age 30.3 ± 5.3 years) participated in the online survey. The overall number of reported parasomnias increased during pregnancy compared to the 3 months before pregnancy (p < 0.001) and decreased after childbirth (p < 0.001). Specifically, we found a significant increase in sleepwalking (p = 0.02) and night terrors (p < 0.001), as well as in vivid dreams (p < 0.001) and nightmares (p < 0.001) during pregnancy. A similar significant increase during pregnancy was reported for head explosion (p < 0.011). In contrast, the number of episodes of sleep paralysis increased after delivery (p = 0.008). At the individual level, an increase in the severity/frequency of individual parasomnia episodes was also observed during pregnancy. Participants whose vivid dreams/nightmares persisted after delivery had higher BDI-II and STAI-T scores. Our data also suggest a significant impact of migraines and other chronic pain, as well as complications during pregnancy, on the presence of parasomnia episodes in our cohort. Conclusions: We have shown that the prevalence of parasomnias increases during pregnancy and needs to be targeted, especially by non-pharmacological approaches. At the same time, it is necessary to inquire about psychiatric and neurological comorbidities and keep in mind that more sleep disorders may be experienced by mothers who have medical complications during pregnancy.
- Open Access
- 22 November 2022
- Published by MDPI AG in Journal of Personalized Medicine
- Vol. 12 (12) , 1941
Psychosocial Impact of Huntington’s Disease and Incentives to Improve Care for Affected Families in the Underserved Region of the Slovak Republic
Introduction: Huntington’s disease (HD) is often on the margin of standard medical practice due to its low prevalence, the lack of causal treatment, and the typically long premanifest window prior to the onset of the symptoms, which contrasts with the long-lasting burden that the disease causes in affected families. Methods: To capture these socio-psychological aspects of HD and map the experiences of affected individuals, persons at risk of HD, and caregivers, we created a questionnaire using a qualitative research approach. The questionnaire containing 16 questions was conducted online for a period of three months through patient associations in Slovakia and their infrastructures. Results: In total, we received 30 responses. The survey results, in particular, indicate insufficient counselling by physicians with explicitly missing information about the possibility of preimplantation genetic diagnostic. There was also a necessity to improve comprehensive social and health care in the later stages of the disease, raise awareness of the disease in the general health community, and provide more information on ongoing clinical trials. Conclusion: The psychosocial effects, as well as the burden, can be mitigated by comprehensive genetic counselling as well as reproductive and financial guidelines and subsequent therapeutic programs to actively support patients, caregivers, children, and adolescents growing up in affected families, preferably with the help of local HD community association. Limitations: We have used online data collection to reach a wider HD community, but at the same time, we are aware that the quality of the data we would obtain through face-to-face interviews would be considerably better. Therefore, future studies need to be conducted to obtain more detailed information.
- 22 November 2022
- Published by MDPI AG in Journal of Personalized Medicine
- Vol. 12 (12) , 1941
Open AccessPsychosocial Impact of Huntington’s Disease and Incentives to Improve Care for Affected Families in the Underserved Region of the Slovak Republic
Introduction: Huntington’s disease (HD) is often on the margin of standard medical practice due to its low prevalence, the lack of causal treatment, and the typically long premanifest window prior to the onset of the symptoms, which contrasts with the long-lasting burden that the disease causes in affected families. Methods: To capture these socio-psychological aspects of HD and map the experiences of affected individuals, persons at risk of HD, and caregivers, we created a questionnaire using a qualitative research approach. The questionnaire containing 16 questions was conducted online for a period of three months through patient associations in Slovakia and their infrastructures. Results: In total, we received 30 responses. The survey results, in particular, indicate insufficient counselling by physicians with explicitly missing information about the possibility of preimplantation genetic diagnostic. There was also a necessity to improve comprehensive social and health care in the later stages of the disease, raise awareness of the disease in the general health community, and provide more information on ongoing clinical trials. Conclusion: The psychosocial effects, as well as the burden, can be mitigated by comprehensive genetic counselling as well as reproductive and financial guidelines and subsequent therapeutic programs to actively support patients, caregivers, children, and adolescents growing up in affected families, preferably with the help of local HD community association. Limitations: We have used online data collection to reach a wider HD community, but at the same time, we are aware that the quality of the data we would obtain through face-to-face interviews would be considerably better. Therefore, future studies need to be conducted to obtain more detailed information.
- 1 March 2022
- Published by Springer Nature in Journal of Clinical Sleep Medicine
- Vol. 18 (3) , 713-720
Self-reported symptoms and objective measures in idiopathic hypersomnia and hypersomnia associated with psychiatric disorders: a prospective cross-sectional study
Study Objectives:In some cases, it is difficult to correctly nosologically classify daytime sleepiness. Clinical manifestations may be non-specific, on the basis of objective measures it is possibl...
- 1 March 2022
- Published by Springer Nature in Journal of Clinical Sleep Medicine
- Vol. 18 (3) , 713-720
Self-reported symptoms and objective measures in idiopathic hypersomnia and hypersomnia associated with psychiatric disorders: a prospective cross-sectional study
Study Objectives:In some cases, it is difficult to correctly nosologically classify daytime sleepiness. Clinical manifestations may be non-specific, on the basis of objective measures it is possibl...
- 20 February 2022
- Published by Elsevier in Sleep Medicine
- Vol. 92, 12-14
Sexsomnia can be triggered by sleep-related head jerks
- 20 February 2022
- Published by Elsevier in Sleep Medicine
- Vol. 92, 12-14
Sexsomnia can be triggered by sleep-related head jerks
- Open Access
- 8 December 2021
- Published by MDPI AG in Diagnostics
- Vol. 11 (12) , 2302
Apnea Detection in Polysomnographic Recordings Using Machine Learning Techniques
Sleep disorders are diagnosed in sleep laboratories by polysomnography, a multi-parameter examination that monitors biological signals during sleep. The subsequent evaluation of the obtained records is very time-consuming. The goal of this study was to create an automatic system for evaluation of the airflow and SpO channels of polysomnography records, through the use of machine learning techniques and a large database, for apnea and desaturation detection (which is unusual in other studies). To that end, a convolutional neural network (CNN) was designed using hyperparameter optimization. It was then trained and tested for apnea and desaturation. The proposed CNN was compared with the commonly used k-nearest neighbors (k-NN) method. The classifiers were designed based on nasal airflow and blood oxygen saturation signals. The final neural network accuracy for apnea detection reached 84%, and that for desaturation detection was 74%, while the k-NN classifier reached accuracies of 83% and 64% for apnea detection and desaturation detection, respectively.- 8 December 2021
- Published by MDPI AG in Diagnostics
- Vol. 11 (12) , 2302
Open AccessApnea Detection in Polysomnographic Recordings Using Machine Learning Techniques
Sleep disorders are diagnosed in sleep laboratories by polysomnography, a multi-parameter examination that monitors biological signals during sleep. The subsequent evaluation of the obtained records is very time-consuming. The goal of this study was to create an automatic system for evaluation of the airflow and SpO channels of polysomnography records, through the use of machine learning techniques and a large database, for apnea and desaturation detection (which is unusual in other studies). To that end, a convolutional neural network (CNN) was designed using hyperparameter optimization. It was then trained and tested for apnea and desaturation. The proposed CNN was compared with the commonly used k-nearest neighbors (k-NN) method. The classifiers were designed based on nasal airflow and blood oxygen saturation signals. The final neural network accuracy for apnea detection reached 84%, and that for desaturation detection was 74%, while the k-NN classifier reached accuracies of 83% and 64% for apnea detection and desaturation detection, respectively. - 1 March 2021
- Published by Elsevier in Physiology & Behavior
- Vol. 230, 113265
Effects of all-night exposure to ambient odour on dreams and affective state upon waking
- 1 March 2021
- Published by Elsevier in Physiology & Behavior
- Vol. 230, 113265
Effects of all-night exposure to ambient odour on dreams and affective state upon waking
- Open Access
- 14 December 2020
- Published by MDPI AG in Diagnostics
- Vol. 10 (12) , 1087
Simultaneous fMRI-EEG-Based Characterisation of NREM Parasomnia Disease: Methods and Limitations
Functional magnetic resonance imaging (fMRI) techniques and electroencephalography (EEG) were used to investigate sleep with a focus on impaired arousal mechanisms in disorders of arousal (DOAs). With a prevalence of 2–4% in adults, DOAs are significant disorders that are currently gaining attention among physicians. The paper describes a simultaneous EEG and fMRI experiment conducted in adult individuals with DOAs (). Both EEG and fMRI data were validated by reproducing well established EEG and fMRI associations. A method for identification of both brain functional areas and EEG rhythms associated with DOAs in shallow sleep was designed. Significant differences between patients and controls were found in delta, theta, and alpha bands during awakening epochs. General linear models of the blood-oxygen-level-dependent signal have shown the secondary visual cortex and dorsal posterior cingulate cortex to be associated with alpha spectral power fluctuations, and the precuneus with delta spectral power fluctuations, specifically in patients and not in controls. Future EEG–fMRI sleep studies should also consider subject comfort as an important aspect in the experimental design.- 14 December 2020
- Published by MDPI AG in Diagnostics
- Vol. 10 (12) , 1087
Open AccessSimultaneous fMRI-EEG-Based Characterisation of NREM Parasomnia Disease: Methods and Limitations
Functional magnetic resonance imaging (fMRI) techniques and electroencephalography (EEG) were used to investigate sleep with a focus on impaired arousal mechanisms in disorders of arousal (DOAs). With a prevalence of 2–4% in adults, DOAs are significant disorders that are currently gaining attention among physicians. The paper describes a simultaneous EEG and fMRI experiment conducted in adult individuals with DOAs (). Both EEG and fMRI data were validated by reproducing well established EEG and fMRI associations. A method for identification of both brain functional areas and EEG rhythms associated with DOAs in shallow sleep was designed. Significant differences between patients and controls were found in delta, theta, and alpha bands during awakening epochs. General linear models of the blood-oxygen-level-dependent signal have shown the secondary visual cortex and dorsal posterior cingulate cortex to be associated with alpha spectral power fluctuations, and the precuneus with delta spectral power fluctuations, specifically in patients and not in controls. Future EEG–fMRI sleep studies should also consider subject comfort as an important aspect in the experimental design.