RESUMO
Mental health literacy (MHL) helps improve mental health outcomes and reduce the impacts of mental illness. This study aims to reflect on scientific evidence on MHL levels, barriers to MHL, their impacts on mental health among Australian youth and interventions to overcome these barriers. The factors explored in the Perspective included; influence of social determinants, culturally and linguistically diverse (CALD) communities, help-seeking attitudes and behaviors. MHL intervention programs and MHL for improving mental health outcomes due to the recent COVID-19 pandemic were also explored. Adequate levels of youth MHL significantly improved one's ability to recognize own mental health status as well as provide peer support. Practical considerations such as designing more gender and culturally specific youth MHL programs are proposed.
Assuntos
COVID-19 , Letramento em Saúde , Humanos , Adolescente , Saúde Mental , Pandemias , Austrália , COVID-19/epidemiologiaRESUMO
Recordings of neural activity can be used to aid communication, control prosthetic devices or alleviate disease symptoms. Chronic recordings require a high signal-to-noise ratio that is stable for years. Current cortical devices generally fail within months to years after implantation. Development of novel devices to increase lifetime requires valid testing protocols and a knowledge of the critical parameters controlling electrophysiological performance. Here we present electrochemical and electrophysiological protocols for assessing implantable electrodes. Biological noise from neural recording has significant impact on signal-to-noise ratio. A recently developed surgical approach was utilised to reduce biological noise. This allowed correlation of electrochemical and electrophysiological behaviour. The impedance versus frequency of modified electrodes was non-linear. It was found that impedance at low frequencies was a stronger predictor of electrophysiological performance than the typically reported impedance at 1 kHz. Low frequency impedance is a function of electrode area, and a strong correlation of electrode area with electrophysiological response was also seen. Use of these standardised testing protocols will allow future devices to be compared before transfer to preclinical and clinical trials.
Assuntos
Eletrodos Implantados , Eletrofisiologia/métodos , Colículos Inferiores/fisiologia , Microeletrodos , Condução Nervosa/fisiologia , Animais , Impedância Elétrica , Eletrofisiologia/instrumentação , Polímeros/química , Ratos Wistar , Sensibilidade e Especificidade , Razão Sinal-RuídoRESUMO
The pitch of vocalizations is a key communication feature aiding recognition of individuals and separating sound sources in complex acoustic environments. The neural representation of the pitch of periodic sounds is well defined. However, many natural sounds, like complex vocalizations, contain rich, aperiodic or not strictly periodic frequency content and/or include high-frequency components, but still evoke a strong sense of pitch. Indeed, such sounds are the rule, not the exception but the cortical mechanisms for encoding pitch of such sounds are unknown. We investigated how neurons in the high-frequency representation of primary auditory cortex (A1) of marmosets encoded changes in pitch of four natural vocalizations, two centred around a dominant frequency similar to the neuron's best sensitivity and two around a much lower dominant frequency. Pitch was varied over a fine range that can be used by marmosets to differentiate individuals. The responses of most high-frequency A1 neurons were sensitive to pitch changes in all four vocalizations, with a smaller proportion of the neurons showing pitch-insensitive responses. Classically defined excitatory drive, from the neuron's monaural frequency response area, predicted responses to changes in vocalization pitch in <30% of neurons suggesting most pitch tuning observed is not simple frequency-level response. Moreover, 39% of A1 neurons showed call-invariant tuning of pitch. These results suggest that distributed activity across A1 can represent the pitch of natural sounds over a fine, functionally relevant range, and exhibits pitch tuning for vocalizations within and outside the classical neural tuning area.