Mental health and emotional wellness: integrated approaches combining neurofeedback with therapeutic support.
The five absolutely easiest ways to start bringing the concept of mental fitness into your self-care practices for 2019. Adopt these New Year's resolutions and you'll be not one but five steps closer to better brain fitness. And better brain fitness means better mental health.
Sleep disturbance is known to be associated with various mental disorders and often precedes the onset of mental disorders in youth. Given the increasingly acknowledged bidirectional influence between sleep disturbance and mental disorders, we aim to identify a shared neural mechanism that underlies sleep disturbance and mental disorders in preadolescents. We analyzed a dataset of 9,350 9-10 year-old children, among whom 8,845 had 1-year follow-up data, from the Adolescent Brain Cognitive Development (ABCD) study. Linear mixed-effects models, mediation analysis, and longitudinal mediation analysis were used to investigate the relationship between sleep disturbance, mental disorders, and resting-state network connectivity. Out of 186 unique connectivities, the effect of total sleep disturbance (TSP, from Sleep Disturbance Scale) and mental problems (MP, from Child Behavior Checklist) converged in the default mode network (DMN) and the dorsal attention network (DAN). Within- and between-network connectivities (DMN-DAN, DMN-DMN, DAN-DAN) mediated the relationship between baseline TSD and MP at 1-year follow-up and the relationship between baseline MP and TSD at 1-year follow-up. The pathway model in which sleep disturbance and mental problems affect each other through two anticorrelated brain networks (DMN and DAN) suggests a common neural mechanism between them. Longitudinally, a less segregated DMN and DAN is associated with negative outcomes on mental well-being and sleep disturbance a year later. These findings have important implications for the design of prevention and neurofeedback intervention for mental disorders and sleep problems.
View Full Paper →Background: To date, health-effects research on environmental stressors has rarely focused on behavioral and mental health outcomes. That lack of research is beginning to change. Science and policy experts in the environmental and behavioral health sciences are coming together to explore converging evidence on the relationship—harmful or beneficial—between environmental factors and mental health. Objectives: To organize evidence and catalyze new findings, the National Academy of Sciences, Engineering, and Medicine (NASEM) hosted a workshop 2–3 February 2021 on the interplay of environmental exposures and mental health outcomes. Methods: This commentary provides a nonsystematic, expert-guided conceptual review and interdisciplinary perspective on the convergence of environmental and mental health, drawing from hypotheses, findings, and research gaps presented and discussed at the workshop. Featured is an overview of what is known about the intersection of the environment and mental health, focusing on the effects of neurotoxic pollutants, threats related to climate change, and the importance of health promoting environments, such as urban green spaces. Discussion: We describe what can be gained by bridging environmental and psychological research disciplines and present a synthesis of what is needed to advance interdisciplinary investigations. We also consider the implications of the current evidence for a) foundational knowledge of the etiology of mental health and illness, b) toxicant policy and regulation, c) definitions of climate adaptation and community resilience, d) interventions targeting marginalized communities, and e) the future of research training and funding. We include a call to action for environmental and mental health researchers, focusing on the environmental contributions to mental health to unlock primary prevention strategies at the population level and open equitable paths for preventing mental disorders and achieving optimal mental health for all. https://doi.org/10.1289/EHP9889
View Full Paper →Biofeedback has shown to be a promising tool for the treatment of anxiety; however, several theoretical as well as practical limitations have prevented widespread adaptation until now. With current technological advances and the increasing interest in the use of self-monitoring technology to improve mental health, we argue that this is an ideal time to launch a new wave of biofeedback training. In this viewpoint paper, we reflect on the current state of biofeedback training, including the more traditional techniques and mechanisms that have been thought to explain the effectiveness of biofeedback such as the integration of operant learning and meditation techniques, and the changes in interoceptive awareness and physiology. Subsequently, we propose an integrative model that includes a set of cognitive appraisals as potential determinants of adaptive trajectories within biofeedback training such as growth mindset, self-efficacy, locus of control, and threat-challenge appraisals. Finally, we present a set of detailed guidelines based on the integration of our model with the mechanics and mechanisms offered by emerging interactive technology to encourage a new phase of research and implementation using biofeedback. There is a great deal of promise for future biofeedback interventions that harness the power of wearables and video games, and that adopt a user-centered approach to help people regulate their anxiety in a way that feels engaging, personal, and meaningful.
View Full Paper →Traumatic Brain Injury (TBI) is an injury to the brain caused by an acute injury to the head, neck, or face, such as a blunt force trauma. Survivors of Intimate Partner Violence (IPV) are at high risk for TBI, given how frequently they are repeatedly struck in the head. An abundance of evidence indicates that even “mild” TBI can have lifelong impacts, including personality and behavioral changes. TBI often goes undiagnosed in survivors as most do not seek medical treatment for their injuries. Given the lack of diagnoses, these symptoms may often be overlooked or misunderstood. One emerging method for treating the symptoms of TBI is neurofeedback (NF). NF is a type of biofeedback that uses operant conditioning to regulate activity in various regions of the brain. NF can lead to better cognitive performance and emotional self-regulation. Given the potentially high rate of TBI in IPV, it is worth exploring if NF can reduce the symptoms that negatively impact survivors. The current study explores the use of NF to treat IPV survivors who experienced head injury and, as such, probable TBI (N = 32). Survivors participated in a quantitative EEG (qEEG) to locate problem areas of the brain and participated in assessments, before and after treatment, to examine constructs such as depression and Post-Traumatic Stress Disorder (PTSD). Results show significant differences in both the qEEG data and written assessments following the completion of NF. These results suggest NF could mitigate symptoms of probable TBI in IPV survivors.
View Full Paper →Neurofeedback draws on multiple techniques that propel both healthy and patient populations to self-regulate neural activity. Since the 1970s, numerous accounts have promoted electroencephalography-neurofeedback as a viable treatment for a host of mental disorders. Today, while the number of health care providers referring patients to neurofeedback practitioners increases steadily, substantial methodological and conceptual caveats continue to pervade empirical reports. And yet, nascent imaging technologies (e.g., real-time functional magnetic resonance imaging) and increasingly rigorous protocols are paving the road towards more effective applications and a better scientific understanding of the underlying mechanisms. Here, we outline common neurofeedback methods, illuminate the tenuous state of the evidence, and sketch out future directions to further unravel the potential merits of this contentious therapeutic prospect.
View Full Paper →The current study investigates factors connected to Quality of Work Life (QWL) for mental health therapists providing neurofeedback (NFB) based on previous NFB conceptual framework and QWL findings (Larson, In Press; Larson, Cothran, Drandorff, Morgan, & Ryan, 2012; Larson, Ryan, & Baerentzen, 2010). One hundred and ninety-eight NFB therapists completed online surveys gathering demographics and ratings of practice behaviors and characteristics. SPSS version 20 was utilized for descriptive statistics, frequencies, means, standard deviations, ranges, Pearson Product-Moment Correlation analyses, independent samples t-tests, and a regular simultaneous regression analysis. Results of this study found that QWL separately correlated with calmness, observant, realistic, and optimistic scores, and therapists with high levels of technique and commitment reported significantly higher QWL scores compared to therapists with moderate levels of technique and commitment. The current findings indicated that 40% of the variance in the QWL can be determined by variance in a significant multiple correlation of confidence, monthly NFB sessions, years of NFB experience, and burnout.
View Full Paper →Schedule a free consultation to discuss mental health and how neurofeedback training can help
Or call us directly at 855-88-BRAIN
View Programs & Pricing →