Resting-state electroencephalography delta and theta bands as compensatory oscillations in chronic neuropathic pain: a secondary data analysis.

Chronic neuropathic pain (CNP) remains a significant clinical challenge, with complex neurophysiological underpinnings that are not fully understood. Identifying specific neural oscillatory patterns related to pain perception and interference can enhance our understanding and management of CNP. To analyze resting electroencephalography data from individuals with chronic neuropathic pain to explore the possible neural signatures associated with pain intensity, pain interference, and specific neuropathic pain characteristics.

A neural signature for brain compensation in stroke with EEG and TMS: Insights from the DEFINE cohort study.

Objective: This study aimed to explore the relationships between potential neurophysiological biomarkers and upper limb motor function recovery in stroke patients, specifically focusing on combining two neurophysiological markers: electroencephalography (EEG) and transcranial magnetic stimulation (TMS).

Methods: This cross-sectional study analyzed neurophysiological, clinical, and demographical data from 102 stroke patients from the DEFINE cohort. We searched for correlations of EEG and TMS measurements combined to build a prediction model for upper limb motor functionality, assessed by five outcomes, across five assessments: Fugl-Meyer Assessment (FMA), Handgrip Strength Test (HST), Finger Tapping Test (FTT), Nine-Hole Peg Test (9HPT), and Pinch Strength Test (PST).

Resting-state EEG as Biomarker of Maladaptive Motor Function and Depressive Profile in Stroke Patients.

Investigate the relationship between resting-state EEG-measured brain oscillations and clinical and demographic measures in Stroke patients. We performed a cross-sectional analysis of a cohort study (DEFINE cohort), Stroke arm, with 85 patients, considering demographic, clinical, and stroke characteristics. Resting-state EEG relative power from delta, theta, alpha, and beta oscillations were measured from the central region.

OPRM1 and BDNF polymorphisms associated with a compensatory neurophysiologic signature in knee osteoarthritis patients.

Objective: The present study investigated the relationship between three genetic polymorphisms of OPRM1 (rs1799971 - A118G and rs1799972 - C17T) and BDNF (rs6265 - C196T) and EEG-measured brain oscillations in Knee Osteoarthritis (KOA) patients.

Materials And Methods: We performed a cross-sectional analysis of a cohort study (DEFINE cohort), KOA arm, with 66 patients, considering demographic (age, sex, and education), clinical (pain intensity and duration), OPRM1 (rs1799971 - A118G and rs1799972 - C17T) and BDNF (rs6265 - C196T) genotypes, and electrophysiological measures. Brain oscillations relative power from Delta, Theta, Alpha, Low Alpha, High Alpha, Beta, Low Beta and High Beta oscillations were measured during resting state EEG.

The impact of Exergames on emotional experience: a systematic review.

Background: Gamification has proven to be a significant tool for health promotion, with a particular focus on physical activities such as Exergames, which improve not only physical, but also cognitive health. However, it is still not clear what effect the practice of Exergames has on changing the emotional experience.

Purpose: The objective of this systematic review is to evaluate the impact of Exergames training on emotional experience.

Predictors of the Health-Related Quality of Life (HRQOL) in SF-36 in Knee Osteoarthritis Patients: A Multimodal Model With Moderators and Mediators.

Purpose The study aimed to examine associations between the 36-item short form health survey (SF-36) in clinical and neurophysiological measures to identify its predictors in patients with knee osteoarthritis (KOA) in a rehabilitation program. Methods We analyzed data from our cohort study (DEFINE cohort). We analyzed data from our KOA arm, with 107 patients, including clinical assessments, demographic data, pain scales, motor function (Timed Up and Go Test (TUG), 10 meters walk test, and 6-minute walk), balance (BBS), sleepiness (ESS), and Transcranial Magnetic Stimulation (TMS) and Electroencephalography (EEG).

Correction to: Mental Health Needs and Psychoactive Drug Use in a User Population of the Family Health Strategy (FHS) in Ribeirão Preto, São Paulo, Brazil.

The original version of this article unfortunately published without acknowledgement. The funding information and grant number is given below: Funding Research supported by Research in Public for the National Health Care System (PP-SUS), Grant number 12/51732-9.

Mental Health Needs and Psychoactive Drug Use in a User Population of the Family Health Strategy (FHS) in Ribeirão Preto, São Paulo, Brazil.

This cross-sectional study was conducted in Family Health Care's field of  Ribeirão Preto city, São Paulo, Brazil to identify the prevalence of substance-related disorders and mental distress among patients with mental disorders. We also aimed to identify sociodemographic and social support risk factors. The data collection was done using medical records, the Social Support Questionnaire (SSQ-6), Self Report Questionnaire (SRQ-20) and home visits.

Mental health in the Family Health Strategy as perceived by health professionals.

Objective:: to analyze the management of mental health needs in primary care as perceived by Family Health Strategy professionals.

Method:: this was a qualitative descriptive exploratory study developed within the coverage area of five family health teams. The data were collected using observation, group interviews, individual semi-structured interviews, and focus groups.

The Role of Social Support for Patients with Mental Disorders in Primary Care in Brazil.

The aim of this article was to identify the health care providers and other agencies in a given region where psychiatric patients included in the study reside. In addition, we evaluated how these patients perceive social support for specific needs related to mental health. This study was carried out using fieldwork and face-to-face semistructured interviews with 25 patients who were receiving psychiatric treatment through primary health care.