Clinical Study of Non-Migraine Primary Headache and Secondary Headache Associated to Different Pathological Conditions

We have clinically examined 29 patients with non-migraine headache types (100%), eleven patients with headache and high blood hypertension associated with different pathologies (37%), ten patients with tension headache (34%), five cases with posttraumatic headache (17%), four cases with headache and microangiopathy and leukoencephalopathy (13%), three cases of tension headache (10%), three cases with headache and neurobehavioral disorders (anxiety and depression, mood changes, aggression) (10%), two cases with headache and facial paralysis (6.8%), one case headache with Alzheimer disease and senile dementia (3%), one case with headache and Parkinson diseases (3%), and one case with anaemia (3%) and metabolic disorders. The clinical findings are discussed in relationship with Retino-Hypothalamic-Pineal (RHP) axis, disturbances in normal sensory processing, sleep disorders, trigeminal neuralgia, facial paralysis, neurobehavioral and disorders. We have emphasized the differential diagnosis with migraine subtypes.

CHARACTERISTICS OF WHITE MATTER HYPOINTENSITY IN NORMAL COGNITIVE VIETNAMESE ADULTS USING MRI

Objectives: access the white-matter hypointensity (WMHypo) volume characteristics in relationships with age. Methods: Analysing for volumes of cerebral WMHypo volumes from cranial magnetic resonance images taken from 455 normal cognitive Vietnamese subjects (males 47,03%), and ranging in age from 17 to 87 years. Results: The volumes of WMHypo were increasing with age in both male (p< 0,001) and female (p < 0,001). And regression analyses indicated that WMHypo volume increasing in cubic manners that relatively stable with age under 40-50 y.o then sharply increase from 60s. Conclusion: White matter hypointensity had appeared since youth and boosted from middle age, since any cognitive impairment could be detected as in elders, and and its growth rate coexists with atrophy in the cerebral degeneration process such as Alzheimer and Parkinson diseases.

Effects of Acupuncture on Oxidative Stress Amelioration via Nrf2/ARE-Related Pathways in Alzheimer and Parkinson Diseases

Oxidative stress is responsible for the pathogeneses of various diseases. Mitochondrial dysfunction, impaired DNA repair, and cellular damage followed by oxidative stress contribute to neurodegenerative diseases, such as Alzheimer disease (AD) and Parkinson disease (PD). Acupuncture is a traditional therapy that has been practiced for >3000 years in Asia. Many studies have demonstrated that acupuncture has notable antioxidative, anti-inflammatory, and antiapoptotic effects. However, the exact mechanism remains unclear. Nuclear factor erythroid 2-related factor (Nrf2) is crucial in regulating the redox equilibrium. Activated Nfr2 translocates into the nucleus, binds to the antioxidant response element (ARE), and initiates antioxidative enzyme transcription. In this review, we demonstrated the effects of acupuncture on oxidative stress amelioration in AD and PD animal models through Nrf2/ARE pathway activation and Nrf2/ARE-related pathway regulation. Thus, acupuncture could be a therapeutic option for AD and PD.

Recent Developments in New Therapeutic Agents against Alzheimer and Parkinson Diseases: In-Silico Approaches

Neurodegenerative diseases (ND), including Alzheimer’s (AD) and Parkinson’s Disease (PD), are becoming increasingly more common and are recognized as a social problem in modern societies. These disorders are characterized by a progressive neurodegeneration and are considered one of the main causes of disability and mortality worldwide. Currently, there is no existing cure for AD nor PD and the clinically used drugs aim only at symptomatic relief, and are not capable of stopping neurodegeneration. Over the last years, several drug candidates reached clinical trials phases, but they were suspended, mainly because of the unsatisfactory pharmacological benefits. Recently, the number of compounds developed using in silico approaches has been increasing at a promising rate, mainly evaluating the affinity for several macromolecular targets and applying filters to exclude compounds with potentially unfavorable pharmacokinetics. Thus, in this review, an overview of the current therapeutics in use for these two ND, the main targets in drug development, and the primary studies published in the last five years that used in silico approaches to design novel drug candidates for AD and PD treatment will be presented. In addition, future perspectives for the treatment of these ND will also be briefly discussed.

On the characteristics of reporting ADL limitations and formal LTC usage across Europe

The increase in the proportion of elderly people in most industrialized countries triggers higher demand for long-term care (LTC) associated with limitations in activities of daily living (ADL). The aim of this research is to derive the drivers affecting the probability of reporting limitations in ADL and the probability of demanding formal LTC, e.g., personal care and services in domestic tasks. By using the most recent wave of a cross-national European survey on individuals aged over 50 years (SHARE, wave 6), we develop econometric models for identifying the effect of demographic, social and medical factors on ADL limitations and formal LTC along five conjectures. On the one hand, we analyze functional limitations and we find that characteristics such as the age, the gender, the wealth status and the education level influence the probability to report limitations. Further, while we find that pathologies significantly increase the probability to become dependent in general, the effect of cancer is lower. On the other hand, we find again an influence of the demographic and social factors on the probability to use formal LTC. We emphasize on the decrease in the probability due to the presence of the partner in the household, in particular for housekeeping tasks. This is less the case for help related with personal care. In addition, we note that pathologies such as cancer have no influence on the probability to report formal LTC while others like mental and Parkinson diseases highly increase it. We find that elderly living in countries with LTC family care schemes report less formal care than in others. This indicates the importance of LTC policies. Finally, we validate the robustness of our results by applying the models to data from earlier waves of the survey. Our findings give insights for the underwriting standards to be used in future LTC insurance products and for the design of LTC policy environments across Europe.

Detection of Parkinson Diseases with More Accuracy using Machine Learning Technique

Parkinson's malady is the most common neurodegenerative confusion influencing more than 10 million individuals around the world. There is no single test which can be regulated for diagnosing Parkinson's illness. In light of these challenges, to explore a machine learning way to deal with precisely analyze Parkinson's, utilizing a given dataset. To keep this issue in medicinal parts need to anticipate the malady influenced or not by discovering exactness figuring utilizing AI strategies. The point is to examine AI based methods for Parkinson sickness by expectation results in best precision with finding arrangement reportIn the beginning times of Parkinson ailment, your face may appear practically zero articulation. Your arms may not swing when you walk.. At times, your specialist may recommend medical procedure to manage certain locales of your cerebrum and improve your indications.To propose, an AI based strategy to precisely foresee the illness by discourse and tremor manifestations by expectation results as best exactness from looking at administer grouping AI calculations. Also, to look at furthermore, talk about the execution of different AI calculations from the given transport traffic division dataset with assessment arrangement report, distinguish the outcome demonstrates that the viability of the proposed AI calculation procedure can be thought about with best exactness with accuracy, Recall and F1 Score.