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47 articles for “Cognitive impairment”
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A Comparative Study to Assess Cognitive Impairment of Old People Residing in Old Age Home Versus those Living with the Family in Pune City
Abstract: Aging welcomes wisdom; it entertains problem as well. In old age, there are special problems, which are different from those of younger persons. Some study on homeless and geriatric care reveals that there is disturbance cognitive ability in old age. Therefore, the researcher felt the need to study about the cognitive impairment among old people residing in old age home versus those staying with the family in Pune city, India. …
Published in Research and Reviews: A Journal of Health Professions · Vol. 6, Issue 1, 2016 · pp. 1–3 Read article
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Assessment of the Cognitive Impairment in the Elderly Persons Admitted in a Tertiary Care Hospital: A Pilot Study
Abstract: Background: Cognitive slowness increases with advancing age. To take necessary measures both to prevent and manage, frequent assessment of the cognitive functions is required. Aim: To assess the cognitive impairment among elderly persons (aged 60 to 70 years). Methods: A descriptive cross-sectional study was conducted in a tertiary care hospital in North India. Using convenience sampling, a total of 30 patients admitted at the time of data collection and meeting …
Published in Journal of Nursing Science & Practice · Vol. 7, Issue 2, 2017 · pp. 20–24 Read article
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Examining the Executive Functions in Neurotypical Individuals and Individuals with Mild Cognitive Impairment
Abstract: Executive function (EF) is one of the key processes of cognition. It refers to a variety of skills which help in making socially responsible, self-serving, independent, and purposive behavior possible. Executive functions could be divided into domains like attention, response inhibition, cognitive flexibility and so on. The study tried to examine the integrity of two main executive functions (attention and response inhibition) in normal aging individuals and individuals with mild …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 9, Issue 2, 2019 · pp. 10–15 Read article
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Nutritional Status of Adults with Mild Cognitive Impairment (MCI)
Abstract: Early identification of cognitive failure and its association with nutritional status might aid in the planning of prevention strategies. An attempt was made to identify the incidence of cognitive failure in adults and its association with nutritional status. 120 participants (20–60 years) were screened for cognitive ability using mini-mental state examination (MMSE) tool. Nutritional status of individuals with mild cognitive impairment (MCI) was assessed through body composition and dietary nutrient …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 3, Issue 1, 2013 · pp. 1–8 Read article
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Effects of Exergaming on Repetitive Behaviors and Cognition Impairment of Autistic Children
Abstract: Physical exercise decreases repetitive behaviors in autistic children and improves cognitive function across the lifespan. Exergaming combines physical and mental exercise simultaneously by linking physical activity movements to visual feedback control and yield better compliance with exercise. Fifteen children with autism spectrum disorder (ASD) completed on Dance-Dance-Revolution (DDR); fifteen additional youths completed on cyber cycling. Repetitive behaviors and executive functions were measured before and after each activity. Repetitive behaviors significantly …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 2, Issue 3, 2013 · pp. 7–11 Read article
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Cognitive Impairment in Alzheimer’s Disease
Abstract: Alzheimer's disease (AD) is a condition that leads to the deterioration of brain cells and is the primary cause of dementia, characterized by a decline in autonomy and cognitive function in day-to-day activities. The cholinergic hypothesis and the amyloid hypothesis are the two main theories proposed to explain AD's multifaceted nature. Characterized by a decline in autonomy and cognitive function in day-to-day activities. The cholinergic hypothesis and the amyloid hypothesis …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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A Study to Assess the Post Electro Somatic Therapy Health Problems Among the Schizophrenic Patients Admitted in Private Hospitals at Selected District
Abstract: Introduction: Health is complete state of physical, mental, social and spiritual wellbeing and not merely the absence of diseases and infirmity. Mental health is state of balance between the individual and the surrounding world, a state of harmony between one self and others, a co existence between the realities of self and that of other people and the environment. Methodology: The Research design and approach is Non experimental, descriptive research …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 11, Issue 2, 2021 · pp. 17–26 Read article
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Prevalence of HIV Associated Neuro-cognitive Deficit among HIV Positive People in Ethiopia: A Cross Sectional Study at Hawassa University Comprehensive Specialized Hospital
Abstract: Background: HIV/AIDS is a common infection in sub-Saharan Africa which is also associated with neurocognitive impairment and psychological. Even if HAART reduces HIV-associated neurocognitive disorders (HAND) by approximately 60 percentage, over 8 million HIV-infected adults in sub-Saharan Africa will be cognitively impaired at some level. This study aimed to assess prevalence and factors associated with neurocognitive impairment among adults living with HIV/AIDS at Hawassa University comprehensive specialized hospital, Ethiopia. Methods: …
Published in Research and Reviews : A Journal of Immunology · Vol. 8, Issue 3, 2018 · pp. 13–18 Read article
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A Research Study on Cognitive Health Benefits of Nicotine to the Human Body
Abstract: Background: Nicotine has been primarily known for its addictive properties and associated health risks, particularly in tobacco products. However, recent research has highlighted nicotine’s potential cognitive health benefits, especially in neurodegenerative diseases like Alzheimer’s and Parkinson’s. This study investigates smoking prevalence across mental health conditions, and cognitive impairments in various psychiatric disorders, and explores the possible cognitive health benefits of nicotine. Methods: Data on age and gender distribution, smoking prevalence, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 16–23 Read article
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Harnessing the Healing Potential of Khamira Abresham Hakim Arshad Wala in the Management of Different Health Conditions
Abstract: Khamira Abresham Hakim Arshad Wala (KAHAW) is a potent Unani remedy that plays a vital role in fortifying the body's vital organs and efficiently reducing free radicals by enhancing levels of antioxidant enzymes. The term 'Khamira' originated from the Unani system of medicine and was first introduced by the esteemed Hakeem during the Mughal period. This preparation involves incorporating herbal drugs into a base (Qiwam) containing sugar or honey, resulting …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 1, 2024 · pp. 7–13 Read article
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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
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Deep Learning-Based Alzheimer’s Disease Detection: A CNN Approach
Abstract: Alzheimer’s disease (AD) is a neurological condition that worsens with time and impairs a patient’s quality of life by causing cognitive loss. For prompt intervention and management of AD, early identification is essential. In this work, we propose a deep learning-based method for automatically classifying Alzheimer’s disease from medical imaging data using convolutional neural networks (CNNs). Our algorithm is intended to evaluate brain MRI images and detect anatomical variations suggestive …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 Read article
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Artificial Intelligence for Tracking Cognitive Deviation in Aging Populations: A Comprehensive Review of Techniques, Challenges, and Ethical Concerns
Abstract: Population aging is accelerating worldwide, and with it the burden of cognitive health conditions such as mild cognitive impairment (MCI), Alzheimer’s disease (AD), and dementia. Detecting and monitoring cognitive change early is central to timely intervention, yet conventional diagnostic tools often miss the subtle signals that appear before overt symptoms. Artificial intelligence (AI) has emerged as a promising complement to clinical assessment because it can work through high-dimensional data and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 · pp. 27–37 Read article
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The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
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Zika Virus: Long-term Effects and Vaccine Development Efforts
Abstract: Zika virus (ZIKV) is a mosquito-borne flavivirus that gained international concern following the 2015-2016 outbreak in the Americas. Although most ZIKV infections are asymptomatic or mild, the virus presents significant public health risks due to its ability to cause severe neurological complications, especially in pregnant women and their offspring.Congenital Zika Syndrome (CZS) encompasses a range of fetal abnormalities, including microcephaly, vision impairment, hearing loss, and developmental delays. Infants exposed to …
Published in International Journal of Virus Studies · Vol. 2, Issue 1, 2025 · pp. 25–28 Read article
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The Cognitive Renaissance: Transforming Your Mind with Innovative Techniques
Abstract: Cognitive abilities play a crucial role in our daily lives, as they impact our capacity to concentrate and stay focused on tasks. When cognitive impairments occur, domains such as working memory, executive function, attentiveness, and knowledge acquisition can be negatively affected. Fortunately, intervention programs have been shown to enhance cognitive abilities and improve daily functioning. Regardless of age, various intervention programs can improve multiple aspects of cognitive functioning. In this …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 13, Issue 1, 2023 · pp. 47–56 Read article
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Detection and Classification of Alzheimer’s Disease Using Deep Learning Technique
Abstract: It is crucial that people with Alzheimer's disease (AD) receive a proper diagnosis to begin preventative action before irreparable brain damage develops. Most people who suffer from Alzheimer's disease (AD), a neurological condition that progresses, are older than 65. The area of interest (ROI) in the hippocampus has been extensively studied for several purposes, including neurological illness research, stress development monitoring, and memory function analysis. Moreover, a connection between Alzheimer's …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 15–20 Read article
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High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 Read article
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Electroconvulsive Therapy in the Management of Schizophrenia: A Systematic Review in Emergency Nursing Practice
Abstract: Electroconvulsive therapy (ECT) is a well-established treatment for various psychiatric disorders, including schizophrenia, particularly in cases where patients are resistant to conventional treatments. Schizophrenia, a chronic and severe psychiatric disorder, often presents with a combination of positive symptoms (such as hallucinations and delusions), negative symptoms (such as social withdrawal and emotional blunting), and cognitive impairments. While antipsychotic medications are the primary treatment, approximately 20–30% of individuals with schizophrenia do not …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 43–48 Read article
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An Overview of Artificially Generated Neural Networks Inside the Brain’s Structure in an Alzheimer’s Disease Patient
Abstract: Alzheimer’s disease produces significant neuronal loss, while the precise mechanisms and timing are yet unknown. Other types of cell death, such necroptosis, parthanatosis, ferroptosis, and cuproptosis, need further investigation. Based on brain images of people with mild cognitive impairment, this study assesses artificial neural networks (ANNs) used to diagnose and predict Alzheimer’s disease (AD). This research was conducted considering growing recognition among researchers and medical professionals regarding the importance of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article