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Vasovagal syncope is the most common cause of syncope in children, and there is no satisfactory treatment currently. We evaluated the response to midodrine treatment in patients with vasovagal syncope who failed to benefit from conventional, non-pharmacologic treatments.
Materials and methods:
The study was a single-centre retrospective study. The data of 44 children between the ages of 6 and 18 years, who were diagnosed with recurrent vasovagal syncope, did not benefit from non- pharmacological treatments, and received midodrine treatment from 2015 to 2022 were enrolled in the study.
Results:
In total, 44 patients, 38 (86.4%) were girls, and 6 (13.6%) were boys. The primary outcome measure was the change in frequency of vasovagal syncope episodes from baseline to 6 months after treatment with midodrine. Patients received a midodrine treatment at an average of 2.5–5 mg/day and were followed for a median of 23.07 (8–72) months. The median number of syncope was 4.2 (3–9.8)/year prior to treatment and 1.2 (1–5)/year (p = 0.01) following the treatment. There was a significant improvement in syncope episodes in all patients.
Conclusion:
Vasovagal syncope is the common cause of syncope in children, and its treatment has not yet been found satisfactory. Midodrine treatment was found to be effective and safe in paediatric patients with recurrent vasovagal syncope. However, further research is needed to determine the most effective treatment for this condition.
Parenting is related to the development of callous-unemotional (CU) traits (i.e. low empathy and restricted guilt), making it an important target of interventions for childhood conduct problems (CPs). However, the relative importance of different parenting features in relation to the development of CU traits remains unclear. This study used machine learning to examine multiple parenting features assessed across infancy and early childhood as predictors of CU traits and CPs in early adolescence.
Methods
Data were from the Family Life Project (N = 1,292; 49% female, 41% Black, and 28% below the poverty line). Seventy-four parenting predictors were assessed at eight time points between children aged 6–90 months using parent-reported questionnaires and observer ratings of videotaped interactions and home visits. CU traits and CPs were assessed via parent-reported questionnaires in preadolescence (12–14 years).
Results
Parenting features explained 8.2% of CU traits variability in preadolescence, with top predictors including early sensitive parenting and later behavior management and scaffolding practices. Prediction of CPs was weaker, with parenting explaining 4.5% of the variability.
Conclusions
Results highlight that disruption in close and sensitive early parent–child relationships is relevant to the development of CU traits. Results from the prediction of CPs indicate a more heterogeneous etiology. Findings support targeting parental sensitivity and behavior management within preventative interventions for CU traits and CPs.
Because of advances in technology and the provision of critical care, an increasing number of patients are surviving critical illness; this growing population of survivors of critical illness is characterized by heightened vulnerability to a host of adverse health outcomes and by the development of multidimensional impairments that significantly impact their quality of life and societal participation. Post-intensive care syndrome (PICS) is defined as new or worsening impairments in physical, cognitive, or mental health status arising after a critical illness and persisting beyond acute care hospitalization. PICS-Family describes the psychological and social impairments that family members, loved ones, and caregivers can develop as a consequence of their loved one’s critical illness. Survivors of critical illness are a heterogeneous patient population, and considerable variation exists with respect to the breadth, depth, duration, and mutability of their symptoms and impairments. This chapter explores the clinical manifestations of PICS, its incidence and prevalence, the co-occurrence of impairments in multiple domains, duration and severity of impairments, risk factors for its development, prediction tools, prevention strategies, screening and diagnosis, and treatment options. Additional topics include the biophysical model of disability, functional trajectories following critical illness, and the lack of communication about post-ICU problems.
As discussed in Chapter 1, the primary focus of this book is on the potential of neurotechnology to support the rehabilitation of convicted persons by improving risk assessment and risk management – rather than on its potential for diagnosing and treating mental or brain disorders. Still, in some cases, neurorehabilitation might well become conducive or even crucial to the improvement of mental health in forensic populations. Brain stimulation to attenuate aggressive impulses might serve to reduce the mental distress experienced by some persons subject to these impulses. Furthermore, aggression can be a symptom of a recognised mental illness, such as a psychotic disorder, or may be a core feature of a disorder, as in intermittent explosive disorder. Diminishing aggression using neurotechnology could in such cases be relevant to the person’s mental health, which appears to be an interest protected by human rights law. For example, Article 12 of the International Covenant on Economic, Social and Cultural Rights (ICESCR) recognises a “right to the highest attainable standard of physical and mental health”.
Delirium, which is an important risk factor for post-intensive care syndrome (PICS), is common during critical illness, affecting between 20% and 80% of patients. It is associated with numerous adverse outcomes, including longer time on mechanical ventilation, longer time in the intensive care unit (ICU) and hospital, death, and long-term cognitive impairment. Delirium in the ICU can be reliably detected using multiple tools, including the Confusion Assessment Method in the ICU (CAM-ICU) and the Intensive Care Delirium Screening Checklist (ICDSC). The exact cause of delirium, however, remains elusive even though there are many purported mechanisms, including neuroinflammation, metabolic insufficiency, neuronal dysfunction, and neurotransmitter disturbances. Due to knowledge gaps regarding the mechanism(s) of delirium, effective medical treatments for delirium also remains elusive. Current practice involves the prevention of delirium through the recognition and management of modifiable risk factors. The well-studied ABCDEF bundle is one such strategy, which is primarily non-pharmacologic, to prevent or mitigate delirium and thus limit its adverse outcomes. Unfortunately, delirium still occurs at a high rate, and the work to understand the underlying mechanism and its varied manifestations and to develop an effective treatment continues.
Catatonia can be associated with a diverse range of conditions, including autoimmune encephalitis. Although rare, autoimmune encephalitis accounts for a significant proportion of catatonia cases with autoimmune aetiologies. In instances where autoimmune mechanisms are suspected, autoantibody testing is a key component of the diagnostic evaluation. However, test results should always be interpreted in conjunction with clinical findings. This article highlights the diagnostic challenges involved, advocating for structured diagnostic algorithms and timely initiation of immune therapy in carefully selected cases – particularly when antibody confirmation is absent. It revisits the paper, ‘Retrospective chart review of cases with steroid-responsive catatonia: exploring a potential autoimmune etiology’.
Specific phobia of vomiting (SPOV) is a persistent, excessive fear of vomiting that is more prevalent in females, often begins in childhood and typically lasts 25 years before treatment is sought. It is a relatively neglected area of research, with most evidence consisting of single case studies. There are implications for the perinatal period, in particular the experience of pregnancy which for many involves symptoms of nausea and vomiting. However, there is a paucity of research on the experience of SPOV during pregnancy and currently no published treatment research. This study aimed to extend the existing literature by applying Veale’s (2009) protocol for SPOV to a pregnant client in her twenties. The intervention consisted of 12 one-hour face-to-face sessions and was effective in significantly reducing anxiety (GAD-7 reduced from 7 to 0), depression (PHQ-9 reduced from 6 to 1), impaired functioning (WSAS reduced from 20 to 4) and vomiting phobia (SPOVI reduced from 40 to 0).
Key learning aims
(1) To understand the impact of SPOV during pregnancy.
(2) To understand how to adapt Veale’s (2009) SPOV treatment protocol for a pregnant client.
(3) To learn how to carry out behavioural experiments and imagery rescripting related to SPOV during pregnancy.
Although theories of specific language impairment grounded in Universal Grammar (UG) have advanced the description of SLI considerably, they provide limited utility as far as treatment is concerned. Because UG assumes deficits in language principles and parameter setting, remediation of the difficulty is not possible; rather, reliance on compensatory mechanisms is recommended. Compensatory mechanisms rely on the same learning principles as are adopted by theorists that adopt a more Emergentist view. Thus, we agree with Ambridge, Pine, and Lieven that a UG-based approach is redundant and recommend focusing efforts on identifying and strengthening treatment strategies associated with general learning principles instead.
Cognitive problems represent one of the most common symptom dimensions in functional neurological disorder (FND; >80% of patients) and are frequently associated with distress, disability, and difficulties engaging in evidence-based treatments such as psychotherapy. Cognitive difficulties occur across the FND subtypes (eg, seizures, movement disorders, dizziness) but are largely underrecognized and undertreated by healthcare providers. That is, although a variety of interventions are available for primary functional symptoms and mental health comorbidities, there have not been any systematic efforts to date to specifically target cognitive functioning in FND, leaving an important gap in the literature.
Cognitive rehabilitation is a flexible approach utilizing diverse techniques aimed at improving cognition and enhancing functional independence in people with neuropsychiatric disorders. Cognitive rehabilitation can have positive impacts (moderate effect sizes) on cognition and everyday functioning across a variety of conditions, including traumatic brain injury, mild cognitive impairment, long COVID, PTSD, and others. Given the transdiagnostic clinical utility of cognitive rehabilitation, it has potential for benefit in many patients with FND if adapted and applied appropriately.
In this review, we highlight the utility of cognitive rehabilitation for FND, with a focus on clinically actionable advice and guidance. We describe fundamental principles of cognitive rehabilitation, evidence for its efficacy and effectiveness across neuropsychiatric disorders, and methods for avoiding potential pitfalls when applying it in FND. We then discuss a Case Vignette in order to emphasize the application of cognitive rehabilitation principles in an individual patient. We conclude with future directions for research and clinical care.
This chapter provides an overview of chronic traumatic encephalopathy (CTE), a neurodegenerative disease associated with repetitive head trauma. It discusses the historical background of CTE, its neuropathology, clinical features, and epidemiology. The chapter also explores the current understanding of CTE staging and common co-pathologies. It highlights the challenges in diagnosing and monitoring CTE in living patients and the ongoing research efforts to develop biomarkers for early detection. The chapter concludes by discussing the prevention, treatment, and future directions in CTE research. It is important to recognize the risks of head trauma and implement measures to reduce the incidence of CTE and other neurodegenerative diseases associated with head trauma.
Accurate and up-to-date epidemiological data on the prevalence and treatment of common mental disorders are essential for evidence-based healthcare policy and resource allocation. However, large-scale, representative epidemiological surveys on common mental disorders in China—particularly those incorporating insomnia disorder and applying the latest diagnostic criteria alongside validated assessment tools—remain notably lacking.
Methods
We conducted a population-based, cross-sectional epidemiological survey to assess the prevalence and treatment of common mental disorders among adults in Beijing, China, using a multistage clustered probability sampling design (n = 10,778). Licensed psychiatrists administered standardized diagnostic interviews based on DSM-5 criteria to assess both lifetime and current mental disorders through a single-stage assessment protocol.
Results
Among all lifetime mental disorders assessed, depressive disorders constituted the most prevalent diagnostic category (7.7%), with major depressive disorder representing the most common specific diagnosis (5.4%). Individuals aged 65 years and older exhibited significantly higher 1-month prevalence of both depressive disorders and insomnia disorder compared with younger age groups. Alcohol-related disorder was more prevalent in men than in women, and in urban residents than in rural residents. Help-seeking patterns revealed a predominant reliance on informal support over professional services among individuals with lifetime mental disorders. Only 13.4% sought help from mental health professionals, and 12.7% received mental health professional treatment.
Conclusions
The improved access to treatment did not translate into a reduction in population-level mental disorder prevalence, which may be attributable to the low rate of professional mental health treatment. Governments must optimize mental healthcare access.
A phenomenon distinctive to attention-deficit hyperactivity disorder (ADHD) is that the effects of stimulants are evident in domains of attention, mood, energy and focus, independent of the presence of an ADHD diagnosis. This reflects recreational use of stimulants for these and other effects. Perceived treatment response probably reinforces diagnosis, and hence diagnostic and prescribing habits.
Cognitive impairment is a significant, yet often overlooked, non-motor symptom of Parkinson’s disease, and a strong predictor of quality of life for those affected. Despite the availability of both pharmacological and non-pharmacological treatment options for Parkinson’s disease, their efficacy for the cognitive symptoms of the disease specifically is unclear, as no ‘gold standard’ treatment strategy for cognitive impairment in the disease has yet emerged. Further, a comparative understanding of the efficacy of each of these treatment options is severely lacking.
Aims
This systematic review aims to critically evaluate the efficacy of non-pharmacological interventions for the treatment of cognitive impairment in Parkinson’s disease.
Method
A comprehensive systematic search will be conducted to identify studies involving participants clinically diagnosed with Parkinson’s disease that assess non-pharmacological interventions targeting cognitive impairment. If feasible, results will be synthesised using meta-analysis; otherwise, narrative synthesis will be used.
Results
This is a protocol for a systematic review that is yet to be conducted.
Conclusions
The findings from this review will provide critical insight into the efficacy of non-pharmacological treatment options for cognitive impairment in Parkinson’s disease, which may help to influence clinical recommendations for the treatment of cognitive impairment in Parkinson’s disease and highlight existing gaps in the literature.
Test whether a dissonance-based transdiagnostic eating disorder treatment, body project treatment (BPT), produces greater reduction in brain reward region response to the thin ideal and behaviors used to pursue this ideal and eating disorder symptoms, and higher abstinence from eating disorder behaviors and remittance from eating disorder diagnoses than a matched transdiagnostic interpersonal psychotherapy (IPT).
Methods
Women with various eating disorders (N = 83) were randomized to 8-week group-implemented BPT or IPT and completed functional magnetic resonance imaging (fMRI) at pretest and posttest, and surveys and masked diagnostic interviews at pretest, posttest, and 6-month follow-up.
Results
BPT versus IPT participants showed significantly greater reductions in mid cingulate cortex response to thin models, anterior cingulate cortex response to eating disorder behavior words, eating disorder symptoms (d = 0.54), and body dissatisfaction (d = 0.57), and marginally greater reductions in psychosocial impairment (d = 0.39) at posttest, as well as significantly greater reductions in body dissatisfaction (d = 0.68) and psychosocial impairment (d = 0.63), and marginally greater reductions in eating disorder symptoms (d = 0.53) at 6-month follow-up. At posttest, BPT versus IPT participants showed significantly greater abstinence from binge eating and purging (48% versus 23%, respectively) but did not differ on remittance from eating disorder diagnoses (52% versus 44%, respectively).
Conclusions
Results provide further evidence of target engagement for BPT and suggest that it is more effective than IPT in treating a range of eating disorders.
This chapter provides an overview of neurodevelopmental disorders (NDDs) in children and young people. The definition and classification of NDDs is discussed, including key differences between ICD-10 and ICD-11 and the problematic use of language in diagnostic classifications, which is at odds with the social model of disability. Important stages of a multidisciplinary assessment of NDDs include a detailed developmental history, a psychosocial history, observation of the child, an assessment of the child’s communication and learning and supplementary rating scales. The role of professionals such as Community Paediatricians, Speech and Language Therapists, Occupational Therapists, teachers and Educational Psychologists is highlighted. Features of the main NDDs are outlined, including Autism Spectrum Disorder, Attention Deficit Hyperactivity Disorder, Specific Disorders of Development and Language and Tic disorders. Finally, an overview of treatment approaches and their evidence base is explored.
The treatment response for the negative symptoms of schizophrenia is not ideal, and the efficacy of antidepressant treatment remains a matter of considerable controversy. This systematic review and meta-analysis aimed to assess the efficacy of adjunctive antidepressant treatment for negative symptoms of schizophrenia under strict inclusion criteria.
Methods
A systematic literature search (PubMed/Web of Science) was conducted to identify randomized, double-blind, effect-focused trials comparing adjuvant antidepressants with placebo for the treatment of negative symptoms of schizophrenia from database establishment to April 16, 2025. Negative symptoms were examined as the primary outcome. Data were extracted from published research reports, and the overall effect size was calculated using standardized mean differences (SMD).
Results
A total of 15 articles, involving 655 patients, were included in this review. Mirtazapine (N = 2, n = 48, SMD −1.73, CI −2.60, −0.87) and duloxetine (N = 1, n = 64, SMD −1.19, CI −2.17, −0.21) showed significantly better efficacy for negative symptoms compared to placebo. In direct comparisons between antidepressants, mirtazapine showed significant differences compared to reboxetine, escitalopram, and bupropion, but there were no significant differences between other antidepressants or between antidepressants and placebo. No publication bias for the prevalence of this condition was observed.
Conclusions
These findings suggest that adjunctive use of mirtazapine and duloxetine can effectively improve the negative symptoms of schizophrenia in patients who are stably receiving antipsychotic treatment. Therefore, incorporating antidepressants into future treatment plans for negative symptoms of schizophrenia is a promising strategy that warrants further exploration.
Electroconvulsive therapy (ECT) is one of the most effective treatments for depression, but worries about cognitive side effects remain. This retrospective study evaluated cognitive outcomes and the antidepressant efficacy of ECT in a real-life sample of patients with treatment-resistant uni- or bipolar depression.
Methods
We included 90 depressed inpatients aged 49 ± 13.8 (SD) years who underwent 10 ± 2.1 (SD) unilateral or bitemporal ECT treatments and completed an extensive pre- and post-treatment psychological test battery. The Hamilton Depression Rating Scale (HAMD) and the Mini-Mental State Examination (MMSE) were evaluated as main outcomes pre-/post-ECT treatment.
Results
There was no significant change in MMSE scores between pre-/post-treatment assessments (β = 0.10, 95% confidence interval [CI] [−0.44, 0.25], p = 0.58), indicating no negative effect on global cognition. A minority of patients (N = 3) experienced a reduction of ≥5 points in the MMSE. Most cognitive tests showed no difference; however, some domains revealed statistically significant improvements (visual learning and motoric reaction time), whereas one domain showed a significant decline (verbal learning). Higher age and higher stimulus doses predicted worse outcomes in some cognitive domains. While ECT significantly reduced depressive symptoms measured by HAMD (β = −5.51, 95% CI [−7.08, −3.94], p < 0.001), depressive symptoms were not associated with cognitive outcomes.
Conclusions
No major cognitive changes were observed. While test results indicated deterioration in verbal learning and improvement in visual learning and motoric reaction time, effect sizes were small, and other cognitive tests showed no significant changes. The main limitation is the absence of retrograde memory assessment.
Two years on from the implementation of the Assisted Decision-Making (Capacity) Act (ADMCA) 2015, significant legal uncertainty persists in Ireland’s acute hospitals for the care of people who lack capacity to consent to treatment. Consultation-liaison psychiatrists must navigate a legal landscape where clear lacunae have emerged in the regulation of frequently encountered clinical scenarios. We identify three of these – eating disorders requiring refeeding, refusal of life-saving treatment, and unsafe discharges – where neither the ADMCA nor the Mental Health Act 2001 provide legal authority to intervene. In such cases, the Inherent Jurisdiction of the High Court has become the default mechanism for authorising treatment or deprivation of liberty, raising serious concerns about proportionality, clinical delays and uncertainty, cost, and consistency. We also consider a fourth category of patients who require immediate life-saving treatment, and the legal status of Advance Healthcare Directives in this context. Many of the patients who fall into these categories will have an established or suspected mental illness requiring the clinical input of a consultation-liaison psychiatry team.
We contrast Ireland’s evolving capacity legislation with developments in England and Wales. Reflecting on these comparisons, we consider the proposed Protection of Liberty Safeguards may provide some clarification but also contain potential risks of becoming unwieldy and bureaucratic and still fail to provide a workable statutory basis for authorising medical treatment in acute hospital settings. A proportionate, patient-centred, and clinically usable legal framework remains urgently needed.
This chapter explores the role of functional connectivity (FC), as measured by FMRI, in the neural processes involved in the recovery from aphasia following left hemisphere strokes. It distinguishes between normalization (restoration of typical connectivity patterns) and compensation (reorganization and recruitment of new regions and connections). The chapter organization is based on two methodological dimensions. One is the type of connectivity measured: resting-state vs. task-based FC. The second is the study design: a single time-point scan, examining the correlation between connectivity and language performance across individuals; or a pre/post-treatment design, examining changes in connectivity within participants. While the results of many studies show that normalization of left hemisphere connectivity contributes to language performance, there is also evidence for compensatory processes in both hemispheres and in interhemispheric connectivity, as involved in language recovery. The chapter also highlights the role of connectivity with domain general networks in aphasia studies, beyond the language network. Studies measuring large scale networks show mixed evidence regarding the contribution of integration across networks vs. segregation and specialization of networks to language recovery. The chapter emphasizes the importance of considering factors like patient heterogeneity, lesion characteristics, and the type of FC analysis when interpreting results.
Neurological disorders are the leading cause of disability worldwide. Restoring function through the modulation of brain networks has been a cornerstone in the field of functional restoration. Deep brain stimulation (DBS) along with neuroprosthetics such as cochlear implants have significantly improved the quality of life for patients with functional restoration. However, there remains a large population of patients who cannot benefit from existing approved medical technologies. Brain–machine interfaces (BMI) show great promise in addressing the unmet need in diagnostic and functional needs for patients with neurological disorders and disabilities. To date, more humans have received clinical benefit from the Utah Array than from any other BMI, but this also had several limitations. Recent advances in BMI address these limitations, showing improvements in invasiveness, longevity, signal quality, and usability. This chapter provides an overview of BMI and discusses the evolving technology in the field of BMI, which provides a novel dimension to the existing neurosurgical armamentarium modulating neurological function beyond the conventional neurosurgical treatment.