145 results match your criteria: "Moscow Research and Clinical Center for Neuropsychiatry[Affiliation]"

Background: This systematic review analyzes the impact of COVID-19 on dementia patients' functional, cognitive, neuropsychiatric, and health related outcomes. It hypothesizes that dementia patients infected with SARS-CoV-2experience more pronounced deterioration compared to those who are uninfected.

Methods: Research from 01/03/2020 to 07/10/2023 was conducted using Medline, Web of Science, and Embase databases, and adhering to PRISMA guidelines and the PICO framework.

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Article Synopsis
  • A rare case of motor neuron disease primarily affecting the lower motor neurons at a single level of the pyramidal tract is examined, focusing on an asymmetric lesion at the cervical level.
  • The study details the patient's clinical symptoms, additional test results, and ongoing monitoring.
  • The article highlights the MRI findings described as "snake eyes" and discusses their significance in diagnosing and predicting the progression of the disease.
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Ischemic stroke (IS) and subsequent neuropsychiatric disorders are among the leading causes of disability worldwide. Several strategies have been previously proposed to utilize exosomes for assessing the risk of IS-related diseases. The aim of this work was to evaluate serum exosomal proteins in IS patients during the chronic post-stroke period and to search for their associations with the development of post-stroke mild cognitive impairment (MCI).

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Background: Fibromyalgia (FM) is a chronic pain syndrome associated with significant distress and numerous unpleasant consequences. Mental health problems in people with FM have been reported in many studies. People with mental disorders are thought to be at higher risk of FM than the general population, but the prevalence has not been established.

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Optical coherence tomography angiography in patients with bipolar disorder and major depressive disorder.

J Affect Disord

September 2024

Moscow Research and Clinical Center for Neuropsychiatry, Moscow Healthcare Department, Moscow, Russian Federation; S. Fyodorov Eye Microsurgery Federal State Institution, Moscow, Russian Federation.

Background: Cerebral microvascular dysfunction is a promising area for research into the pathogenesis of major depressive disorder (MDD) and bipolar disorder (BD). Despite the scientific and clinical potential of studying microvascular dysfunction, progress in this area has long been hampered by the lack of methods to study microvessels intravitally.

Aims: The aim of the present study was to search for potential optical coherence tomography (OCT) and OCT-angiography (OCTA) biomarkers of BD and MDD.

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Pathophysiology, Diagnosis, Prognosis, and Prevention of Poststroke Epilepsy: Clinical and Research Implications.

Neurology

June 2024

From the Department of Neurology (T.T., M.I., K.F.), National Cerebral and Cardiovascular Center, Osaka, Japan; Department of Neurology (N.K.M.), Yale University School of Medicine, New Haven, CT; Department of Clinical & Experimental Epilepsy (M.J.K.), UCL Queen Square Institute of Neurology, London, United Kingdom; Moscow Research and Clinical Center for Neuropsychiatry (A.G.), Pirogov Russian National Research Medical University, Russia; and Department of Epilepsy, Movement Disorders and Physiology (A.I.), Kyoto University Graduate School of Medicine, Japan.

Poststroke epilepsy (PSE) is associated with higher mortality and poor functional and cognitive outcomes in patients with stroke. With the remarkable development of acute stroke treatment, there is a growing number of survivors with PSE. Although approximately 10% of patients with stroke develop PSE, given the significant burden of stroke worldwide, PSE is a significant problem in stroke survivors.

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Various studies have indicated that the prevalence of depression is almost twice as high among women as among men. A major factor associated with the development of depression and other affective disorders are adverse and psychologically traumatic life events that contribute to changes in the neuroendocrine system, altering the capacity to adapt to stress. These changes are involved in the pathogenesis of mental disorders, along with genetic and other factors, and are to a significant degree regulated by gender dependent mechanisms.

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Maladaptive personality traits in patients with epilepsy and psychogenic non-epileptic seizures.

Seizure

April 2024

Moscow Research and Clinical Center for Neuropsychiatry, Donskaya st., 43, Moscow 115419, Russian Federation; Pirogov Russian National Research Medical University, Moscow, Russian Federation.

Objective: We aimed to evaluate the sociodemographic, clinical, and psychological characteristics associated with psychogenic non-epileptic seizures (PNES) in patients with epilepsy, with particular emphasis on the personality profile assessed from a dimensional perspective.

Methods: The cohort study included 77 consecutive inpatients with active epilepsy aged 36-55 years; 52 (67.5%) were female.

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Article Synopsis
  • This systematic review and meta-analysis aimed to assess the prevalence of thirteen neurological issues in COVID-19 patients during and after the acute phase of the illness, with follow-ups at 3, 6, 9, and 12 months.
  • The study analyzed data from 126 eligible studies with over 1.5 million COVID-19 subjects, focusing on neurological symptoms like fatigue, cognitive impairment, and anosmia, among others.
  • Results showed that during the acute phase, the most common neurological symptoms were anosmia/hyposmia, fatigue, and headaches, with some symptoms like fatigue and cognitive impairment remaining significant even at the 3-month follow-up.
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Conversation analysis (CA) to identify metaphoric language (ML) has been proposed as a tool for the differential diagnosis of epileptic (ES) and psychogenic nonepileptic seizures (PNES). However, the clinical relevance of metaphoric conceptualizations is not clearly defined. The current study aims to investigate the ML utilized by individuals with ES and PNES in a pulled multi-country sample.

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Article Synopsis
  • Schizophrenia is a serious mental disorder that significantly affects individuals’ lives, and early diagnosis can improve outcomes, creating a need for better diagnostic tools.
  • This review explores how machine learning can enhance the prediction and diagnosis of schizophrenia and its clinical features by analyzing various data sources and studies from 2010 to 2023.
  • Machine learning methods are applied to evaluate patients' functional status, interpret medical imaging, analyze speech and behavior, and can assist in predicting and diagnosing schizophrenia using medical history and genetic information.
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The World Health Organization (WHO) Intersectoral Global Action Plan on Epilepsy and Other Neurological Disorders was developed by WHO to address the worldwide challenges and gaps in provision of care and services for people with epilepsy and other neurological disorders and to ensure a comprehensive, coordinated response across sectors to the burden of neurologic diseases and to promote brain health across life-course. Headache disorders constitute the second most burdensome of all neurological diseases after stroke, but the first if young and midlife adults are taken into account. Despite the availability of a range of treatments, disability associated with headache disorders, and with migraine, remains very high.

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Post-stroke epilepsy: From clinical predictors to possible mechanisms.

Epilepsy Res

January 2024

Moscow Research and Clinical Center for Neuropsychiatry of the Healthcare Department of Moscow, Moscow, Russian Federation; Buyanov City Hospital of the Healthcare Department of Moscow, Moscow, Russian Federation; Pirogov Russian National Research Medical University, Moscow, Russian Federation.

Background: Stroke is the most common cause of newly diagnosed epilepsy in the elderly, ahead of degenerative disorders, brain tumors, and head trauma. Stroke accounts for 30-50% of unprovoked seizures in patients aged ≥ 60 years. This review discusses the current understanding of epidemiology, risk factors, mechanisms, prevention, and treatment opportunities for post-stroke epilepsy (PSE).

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Background And Objectives: Post-stroke epilepsy (PSE) is a significant concern in the elderly population, with stroke being a leading cause of epilepsy in this demographic. Several factors have shown consistent associations with the risk of developing PSE, including cortical lesions, initial stroke severity, younger age, and the occurrence of early seizures. The primary objectives of this study were two-fold: (1) to determine the incidence of PSE and (2) to identify the risk factors associated with PSE in a prospective cohort of post-stroke patients.

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Our previous studies showed that in patients with brain diseases, neurotrophic factors in lacrimal fluid (LF) may change more prominently than in blood serum (BS). Since glial cell line-derived neurotrophic factor (GDNF) is involved in the control of neuronal networks in an epileptic brain, we aimed to assess the GDNF levels in LF and BS as well as the BDNF and the hypothalamic-pituitary-adrenocortical and inflammation indices in BS of patients with focal epilepsy (FE) and epilepsy and comorbid depression (FE + MDD) and to compare them with those of patients with major depressive disorder (MDD) and healthy controls (HC). GDNF levels in BS were similar in patients and HC and higher in FE taking valproates.

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Background: Pre-existing neurological diseases have been identified as risk factors for severe COVID-19 infection and death. There is a lack of comprehensive literature review assessing the relationship between pre-existing neurological conditions and COVID-19 outcomes. Identification of high risk groups is critical for optimal treatment and care.

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Evaluation and treatment approaches for neurological post-acute sequelae of COVID-19: A consensus statement and scoping review from the global COVID-19 neuro research coalition.

J Neurol Sci

November 2023

Department of Neurology, Center for Global Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany; Department of Community Medicine and Global Health, Institute of Health and Society, University of Oslo, Oslo, Norway; Blavatnik Institute of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.

Post-acute neurological sequelae of COVID-19 affect millions of people worldwide, yet little data is available to guide treatment strategies for the most common symptoms. We conducted a scoping review of PubMed/Medline from 1/1/2020-4/1/2023 to identify studies addressing diagnosis and treatment of the most common post-acute neurological sequelae of COVID-19 including: cognitive impairment, sleep disorders, headache, dizziness/lightheadedness, fatigue, weakness, numbness/pain, anxiety, depression and post-traumatic stress disorder. Utilizing the available literature and international disease-specific society guidelines, we constructed symptom-based differential diagnoses, evaluation and management paradigms.

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Objective: We hypothesized that PWE have an increased risk to acquire COVID-19. This was a historical cohort study to determine COVID-19 incidence, severity, mortality and risk factors in adults with active epilepsy (PWE) compared to residents of Moscow without epilepsy matched by age, gender, and region of residence - Moscow Community Comparisons (MCC).

Methods: Subjects were derived from a cohort of adult PWE and a cohort of age- and gender-matched population-based MCC without epilepsy identified in 2018.

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