Numerous studies have now documented that athletes of different competition levels vary in their motivational styles. Some are internally motivated and train to be better based on intrinsic values, whereas others are controlled by external pressures that drive performance. A third style does not make causal attributions regarding their performance and are amotivated. In the current study, we used latent profile analysis to examine unique typologies of sports motivation in 456 Czech university students comprised of both recreational and more elite athletes participating in various sports and attending a sport education program. Four qualitatively distinct profiles were distinguished varying in the composition of intrinsic, extrinsic, and amotivation. The four profiles differed in their mean levels of social physique anxiety, global self-esteem, and physical self-worth, three markers of how a person feels about themselves in terms of normative standards. Multiple group comparisons based on gender, individual versus team sports, and level of competition reinforced relative consistency in profile composition. Results are discussed in terms of how people can blend different motivational styles, what this portends for self-beliefs, and whether there is relative consistency across meaningful groups.

• MeSH
• Humans MeSH
• Young Adult MeSH
• Motivation * MeSH
• Body Image MeSH
• Cross-Sectional Studies MeSH
• Surveys and Questionnaires statistics & numerical data   MeSH
• Self Concept MeSH
• Athletes * psychology   statistics & numerical data   MeSH
• Sports * psychology   statistics & numerical data   MeSH
• Students * psychology   statistics & numerical data   MeSH
• Universities statistics & numerical data   MeSH
• Check Tag
• Humans MeSH
• Young Adult MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

Přestože myšlenku umělé inteligence (AI) lze nalézt již u starověkých filozofů, teprve rozvoj výpočetní techniky v posledních desetiletích umožnil praktický vývoj AI. V posledních dekádách se začíná AI významněji prosazovat v mnoha oborech, v poslední dekádě také v medicíně, neurologii nevyjímaje. AI se v současnosti testuje v diagnostice a plánování léčby u mnoha neurologických onemocnění. Nadějné se zdá především využití AI ve vyhodnocování nálezů neurozobrazovacích metod. AI je testována v diagnostice a léčbě neurodegenerativních onemocnění, především Alzheimerovy demence, diagnostice a léčbě cévních mozkových příhod, roztroušené sklerózy, monitorování epilepsie či v neurorehabilitaci a neuroonkologii. K dalším významným oblastem využití AI patří neurologický výzkum. Nicméně rozvoj AI přináší také mnoho etických problémů, které bude potřeba v budoucnu vyřešit. Ačkoli má AI značný potenciál v diagnostice a léčbě neurologických onemocnění, je potřeba pečlivě a kriticky validovat jednotlivé výsledky konkrétního použití AI a až následně ji integrovat do klinických pracovních postupů.

Although the idea of artificial intelligence (AI) can be found as early as the ancient philosophers, it is only the development of computing technology in recent decades that has enabled the practical development of AI. In recent decades, AI has begun to make a significant impact in many fields, including medicine, not least neurology. AI is currently being tested in diagnosis and treatment planning for many neurological diseases. In particular, the use of AI in evaluating neuroimaging findings seems promising. AI is being tested in the diagnosis and treatment of neurodegenerative diseases, especially Alzheimer's dementia, diagnosis and treatment of stroke, multiple sclerosis, monitoring of epilepsy or in neurorehabilitation and neuro-oncology. Other important applications of AI include neurological research. However, the development of AI also raises many ethical issues that will need to be resolved in the future. Although AI has considerable potential in the diagnosis and treatment of neurological diseases, there is a need to carefully and critically validate individual results of specific applications of AI before integrating it into clinical workflows.

• MeSH
• Alzheimer Disease diagnosis   MeSH
• Stroke diagnosis   MeSH
• Diagnosis, Computer-Assisted MeSH
• Humans MeSH
• Neurology * MeSH
• Artificial Intelligence * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Review MeSH

BACKGROUND: Use of artificial intelligence (AI) in rare diseases has grown rapidly in recent years. In this review we have outlined the most common machine-learning and deep-learning methods currently being used to classify and analyse large amounts of data, such as standardized images or specific text in electronic health records. To illustrate how these methods have been adapted or developed for use with rare diseases, we have focused on Fabry disease, an X-linked genetic disorder caused by lysosomal α-galactosidase. A deficiency that can result in multiple organ damage. METHODS: We searched PubMed for articles focusing on AI, rare diseases, and Fabry disease published anytime up to 08 January 2025. Further searches, limited to articles published between 01 January 2021 and 31 December 2023, were also performed using double combinations of keywords related to AI and each organ affected in Fabry disease, and AI and rare diseases. RESULTS: In total, 20 articles on AI and Fabry disease were included. In the rare disease field, AI methods may be applied prospectively to large populations to identify specific patients, or retrospectively to large data sets to diagnose a previously overlooked rare disease. Different AI methods may facilitate Fabry disease diagnosis, help monitor progression in affected organs, and potentially contribute to personalized therapy development. The implementation of AI methods in general healthcare and medical imaging centres may help raise awareness of rare diseases and prompt general practitioners to consider these conditions earlier in the diagnostic pathway, while chatbots and telemedicine may accelerate patient referral to rare disease experts. The use of AI technologies in healthcare may generate specific ethical risks, prompting new AI regulatory frameworks aimed at addressing these issues to be established in Europe and the United States. CONCLUSION: AI-based methods will lead to substantial improvements in the diagnosis and management of rare diseases. The need for a human guarantee of AI is a key issue in pursuing innovation while ensuring that human involvement remains at the centre of patient care during this technological revolution.

• MeSH
• Fabry Disease * diagnosis   MeSH
• Humans MeSH
• Artificial Intelligence * MeSH
• Rare Diseases * diagnosis   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Review MeSH

Electroencephalography (EEG) experiments typically generate vast amounts of data due to the high sampling rates and the use of multiple electrodes to capture brain activity. Consequently, storing and transmitting these large datasets is challenging, necessitating the creation of specialized compression techniques tailored to this data type. This study proposes one such method, which at its core uses an artificial neural network (specifically a convolutional autoencoder) to learn the latent representations of modelled EEG signals to perform lossy compression, which gets further improved with lossless corrections based on the user-defined threshold for the maximum tolerable amplitude loss, resulting in a flexible near-lossless compression scheme. To test the viability of our approach, a case study was performed on the 256-channel binocular rivalry dataset, which also describes mostly data-specific statistical analyses and preprocessing steps. Compression results, evaluation metrics, and comparisons with baseline general compression methods suggest that the proposed method can achieve substantial compression results and speed, making it one of the potential research topics for follow-up studies.

• MeSH
• Adult MeSH
• Electroencephalography * methods   MeSH
• Data Compression * methods   MeSH
• Humans MeSH
• Neural Networks, Computer * MeSH
• Signal Processing, Computer-Assisted MeSH
• Check Tag
• Adult MeSH
• Humans MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

BACKGROUND: This retrospective study aims to evaluate the relative representation of individual types of developmental odontogenic cysts (DOCs), especially from the perspective of syndromic and non-syndromic multiple DOCs in the Czech population. In addition, we also summarize the previous studies on the occurrence of multiple DOCs and provide a literature review of case reports and case series on non-syndromic multiple DOCs, particularly dentigerous cysts (DCs) and odontogenic keratocysts (OKCs). METHODS: The study included histologically confirmed DOCs retrieved between January 1, 2012, and August 8, 2023, at the Clinic of Maxillofacial Surgery, University Hospital Brno, Czech Republic. All specimens were re-classified according to the fifth edition of the World Health Organization Classification of Head and Neck Tumors, 2022. Patients with an uncertain histological diagnosis were excluded from the study. RESULTS: Of a total of 377 patients, 286 had DCs, 85 OKCs, 5 orthokeratinizing odontogenic cysts (OOCs), 1 botryoid cyst, and 1 calcifying odontogenic cyst. The proportion of patients with multiple DCs in our study (6.6%) was higher than usually reported in the literature. The study also found that 100% of patients with multiple DCs did not exhibit any syndromic associations. On the other hand, 66% of multiple OKCs were associated with the Naevoid Basal Cell Carcinoma Syndrome (NBCCS) and the proportion of OKC patients with NBCCS (7%) was relatively higher than in other studies. Recurrence of OKCs was also significantly associated with NBCCS (p < 0.05). Only one patient presented with bilateral OOCs, without any association with a syndrome. CONCLUSION: Multiple OKCs are more likely to develop in syndromic patients, while none of the multiple DCs were associated with a syndrome. The incidence of multiple OOCs and other DOCs is extremely rare. Still, we conclude that patients with multiple DOCs should be carefully considered for examination by other specialists to rule out possible syndromic involvement.

• MeSH
• Dentigerous Cyst epidemiology   pathology   MeSH
• Child MeSH
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Odontogenic Cysts * epidemiology   pathology   MeSH
• Child, Preschool MeSH
• Cross-Sectional Studies MeSH
• Retrospective Studies MeSH
• Aged MeSH
• Check Tag
• Child MeSH
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Male MeSH
• Child, Preschool MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

Cíl: Cílem této studie bylo analyzovat klinické aspekty diagnostiky a léčby léze lícního nervu (LLN) u dětí v terciálním centru. Zaměřuje se na demografii, etiologii, diagnostický a terapeutický proces, míru úpravy po terapii a rozsah relapsů. Materiál a metodika: Retrospektivní studie, 572 pacientů (0–18 let), léčených ve fakultní nemocnici s diagnózou LLN v průběhu 10 let (2011–2021). Data byla získávaná z pacientské dokumentace. Analyzovány byly následující parametry: věk, pohlaví, strana léze, etiologie, diagnostický proces zahrnující radiologické vyšetření, léčebný proces, úprava léze po terapii a míra relapsu. Výsledky: LLN se vyskytla v 554 případech jako unilaterální, v 18 jako bilaterální bez signifikantní stranové diference. Dívky byly postiženy v 301 (52,6 %) a chlapci v 271 (47,4 %) případech. Medián věku byl stanoven na 9,4 ± 4,7 roku. Průměrné House-Brackmann (HB) skóre bylo 3,6 ± 1,0. Jako dvě nejčastější příčiny jsme prokázali infekční 264 (46,2 %) a idiopatickou 255 (44,6 %). Borelióza byla nejčastěji zastoupenou infekční příčinou u 216 (81,8 %) případů. Třetí nejčastější příčina byla neoplastická u 15 (2,6 %) případů. Následovaly traumatická, kongenitální a další. Nekompletní paréza byla detekována u 556 (97,2 %) případů a kompletní u 16 (2,8 %). Kortikosteroidy byly podány u 360 pacientů, antibiotika/antivirotika u 311 pacientů. Chirurgický výkon podstoupilo 26 pacientů. Úpravu po terapii jsme zaznamenali u 94,7 % pacientů, nezaznamenali u 5,3 %, u 1 % je údaj neznámý. U infekční příčiny prokázalo úpravu po terapii 99,2 %, u idiopatické 98 % pacientů. Pacienti s infekční, idiopatickou a traumatickou příčinou měli vyšší míru úpravy po terapii než pacienti s neoplastickou příčinou. Závěr: LLN je relativně častá akutní diagnóza v dětském věku. Bylo popsáno velké množství různých příčin, nejčastěji se vyskytuje příčina infekční a idiopatická. Pro správnou diagnózu je důležitá detailní anamnéza a klinické vyšetřeni. V léčbě převažuje terapie kortikosteroidy a antibiotiky. Názory na léčbu jsou kontroverzní. Prognóza LLN u děti je zpravidla dobrá.

Aim: This study aimed to analyze the different characteristics of FNLs in children focusing on demographics, etiology, diagnostic and therapeutic process, improvement after therapy, and relapse rate in a tertiary center. Materials and methods: A retrospective study of 572 children (0 to 18 years) who were admitted to the University Hospital with facial nerve lesion (FNL) during a 10-year period (2011–2021). The data were gathered from patients´ medical files to analyze age, sex, side of FNL, etiology, the diagnostic process including radiological examinations, treatment methods, improvement after therapy, and relapse rate. Results: There were 554 unilateral and 18 bilateral cases without significant laterality differences. Girls were affected in 301 (52.6%) cases and boys in 271 (47.4%) cases. The median age was 9.4 ± 4.7 years. The mean House-Brackmann (HB) score was 3.6 ± 1.0. Two main causes whose representation was balanced were detected. Infectious causes occurred in 264 (46.2%) cases and idiopathic causes occurred in 255 (44.6%) cases. Borreliosis was the most common infectious cause in 216 (81.8%) cases. The third most common cause was of neoplastic origin in 15 (2.6%) cases. The following causes were traumatic, congenital, and others. Incomplete FNL was detected in 556 (97.2%) cases and complete FNL was found in 16 (2.8%) cases. Corticosteroids were administered in 360 patients, and antibiotics/ antivirals were given to 311 patients. Surgery was performed in 26 patients. 94.7 % of patients showed improvement after therapy while 5.3% did not, and 1.0% had an unknown outcome. For the infectious causes, improvement after therapy was seen in 99.2% of patients and idiopathic causes saw improvement in 98% of patients. Patients with infectious, idiopathic, and traumatic causes of paresis had a higher percentage of recovery compared to patients with neoplastic causes. Conclusions: FNL in children is a relatively common acute condition in pediatric care. Many different causes of FNL were described, the most common being infectious and idiopathic. A detailed clinical history and clinical examination are mandatory. Corticosteroids and antibiotics are most commonly prescribed medicaments. Opinions on the treatment remain controversial. The prognosis of FNL in children is usually favorable.

• MeSH
• Child MeSH
• Humans MeSH
• Lyme Neuroborreliosis complications   MeSH
• Adolescent MeSH
• Motor Neurons pathology   MeSH
• Facial Nerve Diseases * epidemiology   etiology   pathology   therapy   MeSH
• Recurrence MeSH
• Retrospective Studies MeSH
• Statistics as Topic MeSH
• Age Factors MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Adolescent MeSH
• Male MeSH
• Female MeSH

BACKGROUND: Inflammatory bowel diseases (IBD), comprising ulcerative colitis and Crohn's disease, have a profound impact on people's lives. This study aims to investigate the perceived impact of IBD on sexual life and family planning to enhance understanding of the interplay between IBD, sexuality, intimacy and family planning to foster a better quality of life for those living with the condition. MATERIALS AND METHODS: The study used the qualitative DIPEx method (Database of Personal Experiences of Health and Illness) developed by the Health Experiences Research Group at the University of Oxford, standardized for the Czech Republic. Semi-structured interviews with 36 participants (19 with Crohn's disease, 17 with ulcerative colitis) were conducted, employing open coding and thematic analysis. The maximum variation sampling was utilized, considering various factors, such as disease stage, medications, treatments, age, age at diagnosis and sociodemographic characteristics. RESULTS: Five main topics emerged: sexual activity, body image and discomfort, partner relationships, family planning, and the role of gastroenterologists in family planning decisions. Participants' perceptions of sexuality varied, with some experiencing reduced sexual activity during acute phases of the disease. IBD had contrasting effects on partner relationships, and family planning was an important concern, with women valuing support and collaboration with their gastroenterologists in making pregnancy decisions. Information dissemination and open communication from professionals are highly needed. CONCLUSIONS: This is the first study concerning the sexuality and family planning of people with IBD in the Czech Republic. It highlights the need for information and open communication from professionals.

• MeSH
• Crohn Disease * psychology   MeSH
• Adult MeSH
• Inflammatory Bowel Diseases psychology   MeSH
• Quality of Life * MeSH
• Qualitative Research * MeSH
• Middle Aged MeSH
• Humans MeSH
• Young Adult MeSH
• Body Image psychology   MeSH
• Aged MeSH
• Sexuality psychology   MeSH
• Sexual Behavior * psychology   MeSH
• Sexual Partners psychology   MeSH
• Family Planning Services * MeSH
• Colitis, Ulcerative * psychology   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Young Adult MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

BACKGROUND: Remote measurement technology (RMT) involves the use of wearable devices and smartphone apps to measure health outcomes in everyday life. RMT with feedback in the form of data visual representations can facilitate self-management of chronic health conditions, promote health care engagement, and present opportunities for intervention. Studies to date focus broadly on multiple dimensions of service users' design preferences and RMT user experiences (eg, health variables of perceived importance and perceived quality of medical advice provided) as opposed to data visualization preferences. OBJECTIVE: This study aims to explore data visualization preferences and priorities in RMT, with individuals living with depression, those with epilepsy, and those with multiple sclerosis (MS). METHODS: A triangulated qualitative study comparing and thematically synthesizing focus group discussions with user reviews of existing self-management apps and a systematic review of RMT data visualization preferences. A total of 45 people participated in 6 focus groups across the 3 health conditions (depression, n=17; epilepsy, n=11; and MS, n=17). RESULTS: Thematic analysis validated a major theme around design preferences and recommendations and identified a further four minor themes: (1) data reporting, (2) impact of visualization, (3) moderators of visualization preferences, and (4) system-related factors and features. CONCLUSIONS: When used effectively, data visualizations are valuable, engaging components of RMT. Easy to use and intuitive data visualization design was lauded by individuals with neurological and psychiatric conditions. Apps design needs to consider the unique requirements of service users. Overall, this study offers RMT developers a comprehensive outline of the data visualization preferences of individuals living with depression, epilepsy, and MS.

• MeSH
• Depression * psychology   MeSH
• Adult MeSH
• Epilepsy * psychology   MeSH
• Qualitative Research * MeSH
• Middle Aged MeSH
• Humans MeSH
• Mobile Applications MeSH
• Wearable Electronic Devices MeSH
• Patient Preference psychology   statistics & numerical data   MeSH
• Multiple Sclerosis * psychology   MeSH
• Aged MeSH
• Telemedicine MeSH
• Data Visualization MeSH
• Focus Groups * MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

A patient who requests an amputation deemed medically unnecessary by professionals is disqualified per se from being regarded as having medical decision-making capacity. This decision is based on the assumption that there is an option to pursue something other than amputation; such an assumption in many cases overflows into therapeutic obstinacy. This is the case for individuals who have ill or damaged body parts and who wish to avoid recurrent and painful medical treatment designed to save the limb, as well as for individuals affected by body integrity dysphoria (BID). BID is a condition that is recognised by the WHO and is included in the International Classification of Diseases, 11th edition. Individuals who are affected develop an intense feeling of overcompleteness of their body configuration, which leads to the development of a strong sense of dysphoria and consequently the desire to amputate in order to remove the source of such discomfort. In the few cases in which amputation has been carried out, the results have proved successful; the individual's quality of life has improved and they have had no new amputation desires. No medical therapy, including medical amputation, is available currently for individuals affected by the condition. This situation leads many with BID to mutilate themselves. Such events create a challenging ethical dilemma for the medical world.The present paper is focused on the capacity of the individual with BID to do other than request amputation and the implications that this carries regarding moral responsibility. It is proposed that the autonomy of the patient cannot be disqualified by default based on the amputation request, despite its oddity, and that any scepticism demonstrated by the physicians is based on a false preconception of ill will or ignorance, which results in a blaming attitude towards the requesting person.

• MeSH
• Amputation, Surgical * psychology   MeSH
• Quality of Life * MeSH
• Humans MeSH
• Moral Obligations MeSH
• Body Image psychology   MeSH
• Decision Making * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH

Multiple sclerosis (MS) is a devastating immune-mediated disorder of the central nervous system resulting in progressive disability accumulation. As there is no cure available yet for MS, the primary therapeutic objective is to reduce relapses and to slow down disability progression as early as possible during the disease to maintain and/or improve health-related quality of life. However, optimizing treatment for people with MS (pwMS) is complex and challenging due to the many factors involved and in particular, the high degree of clinical and sub-clinical heterogeneity in disease progression among pwMS. In this paper, we discuss these many different challenges complicating treatment optimization for pwMS as well as how a shift towards a more pro-active, data-driven and personalized medicine approach could potentially improve patient outcomes for pwMS. We describe how the 'Clinical Impact through AI-assisted MS Care' (CLAIMS) project serves as a recent example of how to realize such a shift towards personalized treatment optimization for pwMS through the development of a platform that offers a holistic view of all relevant patient data and biomarkers, and then using this data to enable AI-supported prognostic modelling.

• MeSH
• Biomarkers MeSH
• Precision Medicine * methods   trends   MeSH
• Quality of Life MeSH
• Humans MeSH
• Prognosis MeSH
• Disease Progression MeSH
• Multiple Sclerosis * therapy   immunology   MeSH
• Artificial Intelligence * trends   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH