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Brain Injury, Diagnosis, mTBI, Research

Combining H-FABP and GFAP increases the capacity to differentiate between CT-positive and CT-negative patients with mild traumatic brain injury. PLoS ONE, 2019

Lagerstedt L, Egea-Guerrero JJ, Bustamante A, Rodríguez-Rodríguez A, El Rahal A, Quintana-Diaz M, et al. (2018) Combining H-FABP and GFAP increases the capacity to differentiate between CT-positive and CT-negative patients with mild traumatic brain injury. PLoS ONE 13(7): e0200394.

https://doi.org/10.1371/journal.pone.0200394

Abstract:

Mild traumatic brain injury (mTBI) patients may have trauma-induced brain lesions detectable using CT scans. However, most patients will be CT-negative. There is thus a need for an additional tool to detect patients at risk. Single blood biomarkers, such as S100B and GFAP, have been widely studied in mTBI patients, but to date, none seems to perform well enough. In many different diseases, combining several biomarkers into panels has become increasingly interesting for diagnoses and to enhance classification performance.

The present study evaluated 13 proteins individually—H-FABP, MMP-1, MMP-3, MMP-9, VCAM, ICAM, SAA, CRP, GSTP, NKDA, PRDX1, DJ-1 and IL-10—for their capacity to differentiate between patients with and without a brain lesion according to CT results. The best performing proteins were then compared and combined with the S100B and GFAP proteins into a CT-scan triage panel. Patients diagnosed with mTBI, with a Glasgow Coma Scale score of 15 and one additional clinical symptom were enrolled at three different European sites. A blood sample was collected at hospital admission, and a CT scan was performed. Patients were divided into two two-centre cohorts and further dichotomised into CT-positive and CT-negative groups for statistical analysis. Single markers and panels were evaluated using Cohort 1.

Four proteins—H-FABP, IL-10, S100B and GFAP—showed significantly higher levels in CT-positive patients. The best-performing biomarker was H-FABP, with a specificity of 32% (95% CI 23–40) and sensitivity reaching 100%. The best-performing two-marker panel for Cohort 1, subsequently validated in Cohort 2, was a combination of H-FABP and GFAP, enhancing specificity to 46% (95% CI 36–55). When adding IL-10 to this panel, specificity reached 52% (95% CI 43–61) with 100% sensitivity.

These results showed that proteins combined into panels could be used to efficiently classify CT-positive and CT-negative mTBI patients.

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eTechnologies, eTherapies, Research

Neuroscience of Virtual Reality: From Virtual Exposure to Embodied Medicine. Cyberpsychol Behav Soc Netw, 2019

Neuroscience of Virtual Reality: From Virtual Exposure to Embodied Medicine.

Giuseppe Riva, Brenda K. Wiederhold, and Fabrizia Mantovani. Cyberpsychology, Behavior, and Social Networking, Vol. 22, No. 1 Closing Editorial. Published Online:16 Jan 2019

https://doi.org/10.1089/cyber.2017.29099.gri

Abstract

Is virtual reality (VR) already a reality in behavioral health? To answer this question, a meta-review was conducted to assess the meta-analyses and systematic and narrative reviews published in this field in the last twenty-two months. Twenty-five different articles demonstrated the clinical potential of this technology in both the diagnosis and the treatment of mental health disorders: VR compares favorably to existing treatments in anxiety disorders, eating and weight disorders, and pain management, with long-term effects that generalize to the real world. But why is VR so effective?

Here, the following answer is suggested: VR shares with the brain the same basic mechanism: embodied simulations. According to neuroscience, to regulate and control the body in the world effectively, the brain creates an embodied simulation of the body in the world used to represent and predict actions, concepts, and emotions. VR works in a similar way: the VR experience tries to predict the sensory consequences of an individual’s movements, providing to him/her the same scene he/she will see in the real world.

To achieve this, the VR system, like the brain, maintains a model (simulation) of the body and the space around it. If the presence in the body is the outcome of different embodied simulations, concepts are embodied simulations, and VR is an embodied technology, this suggests a new clinical approach discussed in this article: the possibility of altering the experience of the body and facilitating cognitive modeling/change by designing targeted virtual environments able to simulate both the external and the internal world/body.

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App, Attention, Brain training, Research

Improvements in Attention Following Cognitive Training With the Novel “Decoder” Game on an iPad. Front. Behav. Neurosci., 2019.

Improvements in Attention Following Cognitive Training With the Novel “Decoder” Game on an iPad.

George Savulich, Emily Thorp, Thomas Piercy, Katie A. Peterson, John D. Pickard, and Barbara J. Sahakian. Front. Behav. Neurosci., 21 January 2019.

https://doi.org/10.3389/fnbeh.2019.00002

Abstract:

Work and study increasingly rely on the use of technologies requiring individuals to switch attention rapidly between emails, texts and tasks. This has led to healthy people having problems of attention and concentration and difficulties getting into the “flow,” which impedes goal attainment and task completion. Possibly related to this, there is an increasing diagnosis of attention deficit hyperactivity disorder (ADHD) and prescriptions of drugs such as methylphenidate. In addition to ADHD, attention is impaired in other neuropsychiatric disorders, such as schizophrenia and in traumatic brain injury (TBI).

Based on neuropsychological and neuroimaging evidence, we developed “Decoder,” a novel game for targeted cognitive training of visual sustained attention on an iPad. We aimed to investigate the effects of cognitive training in 75 healthy young adults randomly assigned to a Cognitive Training (8 h of playing Decoder over 4 weeks; n = 25), Active Control (8 h of playing Bingo over 4 weeks; n = 25) or Passive Control (continuation of activities of daily living; n = 25) group.

Results indicated that cognitive training with Decoder was superior to both control groups in terms of increased target sensitivity (A’) on the Cambridge Neuropsychological Test Automated Battery Rapid Visual Information processing (CANTAB RVP) test, indicating significantly improved sustained visual attention. Individuals playing Decoder also showed significantly better performance on the Trail Making Test (TMT) compared with those playing Bingo. Significant differences in visual analogue scales were also found between the two gaming groups, such that Decoder received higher ratings of enjoyment, task-related motivation and alertness across all hours of game play.

These data suggest that cognitive training with Decoder is an effective non-pharmacological method for enhancing attention in healthy young adults, which could be extended to clinical populations in which attentional problems persist.

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Brain Injury, Criminality, Research

Traumatic Brain Injury and the Risk for Subsequent Crime Perpetration. Bonow, Wang, et al. J Head Trauma Rehabil 2019

Traumatic Brain Injury and the Risk for Subsequent Crime Perpetration

Bonow, Robert H; Wang, Jin, et al. The Journal of Head Trauma Rehabilitation: January/February 2019 – Volume 34 – Issue 1 – p E61–E69

http://doi.org/10.1097/HTR.0000000000000413

Abstract

Objective:

To examine whether patients with traumatic brain injury (TBI) are at higher risk for subsequent crime perpetration compared with injured patients without TBI and those hospitalized for reasons other than injury.

Setting and Participants:

Patients hospitalized in Washington State from 2006-2007.

Design:

A retrospective cohort study using linked statewide datasets.

Main measures:

Primary outcomes were arrest for any violent or nonviolent crime within 5 years of discharge. Adjusted subhazard ratios were calculated using regression models incorporating death as a competing risk.

Results:

Compared with uninjured patients (n = 158 247), the adjusted rate of arrest for any crime was greater among injured patients with TBI (n = 6894; subdistribution hazard ratios [sHR], 1.57; 95% confidence interval [CI], 1.49-1.62) and without TBI (n = 40 035; sHR, 1.55; 95% CI, 1.49-1.62). When patients with TBI were directly compared with injured patients without TBI, no effect of TBI on subsequent arrests was found (sHR, 1.02; 95% CI, 0.94-1.11). TBI did not increase the likelihood of either violent or nonviolent crime when these outcomes were examined separately.

Conclusions:

TBI survivors do not appear to be at increased risk for criminality compared with injured individuals without TBI. However, injured persons with or without TBI may be at elevated risk of crime perpetration compared with those who are uninjured.

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Apps E-Tech, Health, Research

Examining Predictors of Real-World User Engagement with Self-Guided eHealth Interventions: Analysis of Mobile Apps and Websites Using a Novel Dataset. J Med Internet Res 2018

Examining Predictors of Real-World User Engagement with Self-Guided eHealth Interventions: Analysis of Mobile Apps and Websites Using a Novel Dataset

Amit Baumel, John M Kane. Journal of Medical Internet Research, Vol 20, No 12 (2018): December

doi:10.2196/11491

 

ABSTRACT

Background: The literature suggests that the product design of self-guided electronic health (eHealth) interventions impacts user engagement. Traditional trial settings, however, do not enable the examination of these relationships in real-world use.

 

Objective: This study aimed to examine whether the qualities of product design, research evidence, and publicly available data predict real-world user engagement with mobile and Web-based self-guided eHealth interventions.

 

Methods: This analysis included self-guided mobile and Web-based eHealth interventions available to the public—with their qualities assessed using the Enlight suite of scales. Scales included Usability, Visual Design, User Engagement, Content, Therapeutic Persuasiveness, Therapeutic Alliance, Credibility, and Research Evidence. Behavioral data on real-world usage were obtained from a panel that provides aggregated nonpersonal information on user engagement with websites and mobile apps, based on a time window of 18 months that was set between November 1, 2016 and April 30, 2018. Real-world user engagement variables included average usage time (for both mobile apps and websites) and mobile app user retention 30 days after download.

 

Results: The analysis included 52 mobile apps (downloads median 38,600; interquartile range [IQR] 116,000) and 32 websites (monthly unique visitors median 5689; IQR 30,038). Results point to moderate correlations between Therapeutic Persuasiveness, Therapeutic Alliance, and the 3 user engagement variables (.31≤rs≤.51; Ps≤.03). Visual Design, User Engagement, and Content demonstrated similar degrees of correlation with mobile app engagement variables (.25≤rs≤.49; Ps≤.04) but not with average usage time of Web-based interventions. Positive correlations were also found between the number of reviews on Google Play and average app usage time (r=.58; P<.001) and user retention after 30 days (r=.23; P=.049). Although several product quality ratings were positively correlated with research evidence, the latter was not significantly correlated with real-world user engagement. Hierarchical stepwise regression analysis revealed that either Therapeutic Persuasiveness or Therapeutic Alliance explained 15% to 26% of user engagement variance. Data on Google Play (number of reviews) explained 15% of the variance of mobile app usage time above Enlight ratings; however, publicly available data did not significantly contribute to explaining the variance of the other 2 user-engagement variables.

 

Conclusions: Results indicate that the qualities of product design predict real-world user engagement with eHealth interventions. The use of real-world behavioral datasets is a novel way to learn about user behaviors, creating new avenues for eHealth intervention research.

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Brain Injury, Health, Quality of Life, Research

The Association between Post-Concussion Symptoms and Health-Related Quality of Life in Patients with Mild Traumatic Brain Injury. Injury, 2018

The association between post-concussion symptoms and health-related quality of life in patients with mild traumatic brain injury

Daphne C.Voormolena, Suzanne Polindera, Nicole von Steinbuechel, Pieter E.Vosc, Maryse C.Cnossena, Juanita A.Haagsmaad. Injury. Available online 7 December 2018

https://doi.org/10.1016/j.injury.2018.12.002

A subset of mild traumatic brain injury (mTBI) patients experience post-concussion symptoms. When a cluster of post-concussion symptoms persists for over three months, it is referred to as post-concussion syndrome (PCS). Little is known about the association between PCS and Health-Related Quality of Life (HRQoL) after mTBI. The aims of this study were to assess the implications of PCS on HRQoL six months after mTBI and the relationship between PCS and HRQoL domains. A prospective observational cohort study was conducted among a sample of mTBI patients. Follow-up postal questionnaires at six months after emergency department (ED) admission included socio-demographic information, the Rivermead Post-Concussion Symptoms Questionnaire (RPQ), and HRQoL measured with the 36-item Short-Form Health Survey (SF-36) and the Perceived Quality of Life Scale (PQoL). In total, 731 mTBI patients were included, of whom 38.7% were classified as suffering from PCS. Patients with PCS had significantly lower scores on all SF-36 domains, lower physical and mental component summary scores and lower mean PQoL scores compared to patients without PCS. All items of the RPQ were negatively correlated to all SF-36 domains and PQoL subscale scores, indicating that reporting problems on any of the RPQ symptoms was associated with a decrease on different aspects of an individuals’ HRQoL. To conclude, PCS is common following mTBI and patients with PCS have a considerably lower HRQoL. A better understanding of the relationship between PCS and HRQoL and possible mediating factors in this relationship could improve intervention strategies, the recovery process for mTBI patients and benchmarking.

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Apps E-Tech, Health, Research, Review

Efficacy of Interventions that Use Apps to Improve Diet, Physical Activity and Sedentary Behaviour: A Systematic Review. IJBNPA, 2016

Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review.

Stephanie SchoeppeEmail author, Stephanie Alley, Wendy Van Lippevelde, Nicola A. Bray, Susan L. Williams, Mitch J. Duncan and Corneel Vandelanotte

International Journal of Behavioral Nutrition and Physical Activity. Published: 7 December 2016

 

Background

Health and fitness applications (apps) have gained popularity in interventions to improve diet, physical activity and sedentary behaviours but their efficacy is unclear. This systematic review examined the efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour in children and adults.

Methods

Systematic literature searches were conducted in five databases to identify papers published between 2006 and 2016. Studies were included if they used a smartphone app in an intervention to improve diet, physical activity and/or sedentary behaviour for prevention. Interventions could be stand-alone interventions using an app only, or multi-component interventions including an app as one of several intervention components. Outcomes measured were changes in the health behaviours and related health outcomes (i.e., fitness, body weight, blood pressure, glucose, cholesterol, quality of life). Study inclusion and methodological quality were independently assessed by two reviewers.

Results

Twenty-seven studies were included, most were randomised controlled trials (n = 19; 70%). Twenty-three studies targeted adults (17 showed significant health improvements) and four studies targeted children (two demonstrated significant health improvements). Twenty-one studies targeted physical activity (14 showed significant health improvements), 13 studies targeted diet (seven showed significant health improvements) and five studies targeted sedentary behaviour (two showed significant health improvements). More studies (n = 12; 63%) of those reporting significant effects detected between-group improvements in the health behaviour or related health outcomes, whilst fewer studies (n = 8; 42%) reported significant within-group improvements. A larger proportion of multi-component interventions (8 out of 13; 62%) showed significant between-group improvements compared to stand-alone app interventions (5 out of 14; 36%). Eleven studies reported app usage statistics, and three of them demonstrated that higher app usage was associated with improved health outcomes.

Conclusions

This review provided modest evidence that app-based interventions to improve diet, physical activity and sedentary behaviours can be effective. Multi-component interventions appear to be more effective than stand-alone app interventions, however, this remains to be confirmed in controlled trials. Future research is needed on the optimal number and combination of app features, behaviour change techniques, and level of participant contact needed to maximise user engagement and intervention efficacy.

https://doi.org/10.1186/s12966-016-0454-y

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Brain Injury, Children, Developmental disorders, Research

Traumatic Brain Injury in Early Childhood and Risk of Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder: A Nationwide Longitudinal Study. J Clin Psychiatry, 2018

Traumatic Brain Injury in Early Childhood and Risk of Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder: A Nationwide Longitudinal Study.

Chang HK, Hsu JW, Wu JC, Huang KL, Chang HC, Bai YM, Chen T, Chen M. J Clin Psychiatry. 2018 Oct 16;79(6).

https://doi.org/10.4088/JCP.17m11857

OBJECTIVE:

Early childhood (< 3 years of age) is a critical period for neurodevelopment. This study investigated the correlation between early childhood traumatic brain injury (TBI) and subsequent risk of attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and developmental delay (DD) by analyzing a national-scale cohort.

METHODS:

Data from the National Health Insurance Research Database, which comprises health care information from > 99% of the Taiwanese population, were analyzed. Children with TBI in their early childhood were enrolled from 1998-2008, and the incidence of subsequent ADHD, ASD, or DD (according to ICD-9 criteria) was assessed and compared with controls without TBI. Patients’ age, number of TBI events, and TBI severity were investigated for the risk of ADHD, ASD, or DD.

RESULTS:

A total of 7,801 and 31,204 children were enrolled in the TBI and control cohorts, respectively. The TBI cohort exhibited a higher incidence of subsequent ADHD, ASD, or DD than the controls (all P < .001). Diagnoses of ADHD, ASD, or DD in the TBI cohort were made at a younger age compared with the controls. Cox regression demonstrated the highest hazard ratios (HRs) of ADHD, ASD, or DD with repeated TBI events, severe TBI, and TBI events before 1 year of age, with the exception that the HR of ASD did not significantly increase after repeated TBI (P = .335). In addition, cumulative HRs (> 10 years) of ADHD, ASD, or DD were increased after TBI (all P < .001).

CONCLUSIONS:

Data from this study suggest that the incidence of ADHD, ASD, and DD significantly increased after TBI events in early childhood (< 3 years of age). The risk factors include severe TBI, repeated TBI events, and TBI at a younger age. The long-term follow-up demonstrated an increased cumulative risk of ADHD, ASD, and DD after TBI.

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Excercise, Mood, Research

Special Issue – Therapeutic Benefits of Physical Activity for Mood: A Systematic Review on the Effects of Exercise Intensity, Duration, and Modality. J Psychol, 2018

Special Issue – Therapeutic Benefits of Physical Activity for Mood: A Systematic Review on the Effects of Exercise Intensity, Duration, and Modality.

John S. Y. Chan, Guanmin Liu, Danxia Liang, Kanfeng Deng, Jiamin Wu & Jin H. Yan.

Published online: 15 Oct 2018 The Journal of Psychology: Interdisciplinary and Applied.

Abstract

In contemporary society, people experience considerable stress in their daily lives. Therefore, developing effective approaches and convenient means to cope with their mood problems is important nowadays. Physical activity has been consistently reported as a cost-effective way to improve physical fitness, prevent mental illnesses, and alleviate mood problems. In this systematic review, the effects of exercise intensity, duration, and modality on mood change are discussed.

Results show that moderate-intensity anaerobic exercise is associated with greater mood improvements. The relationship between exercise duration and mood change is non-linear; A regime of 10- to 30-minute exercise is sufficient for mood improvements. For exercise modality, anaerobic exercise improves mood, but the efficacy of aerobic and mindfulness-related exercises remains to be further examined.

In addition to the systematic review of potential moderators, a narrative review of psychological and neurophysiological theories of exercise effects on mood is provided; we have highlighted the central role of neuroplasticity in integrating the two classes of theories. An adoption of neuroimaging techniques in future research is critical to reveal the mechanisms underpinning the therapeutic influence of physical activity on affective responses. Some future research directions are also raised.

https://doi.org/10.1080/00223980.2018.1470487

 

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Depression, Research

Direct Electrical Stimulation of Lateral Orbitofrontal Cortex Acutely Improves Mood in Individuals with Symptoms of Depression

Direct Electrical Stimulation of Lateral Orbitofrontal Cortex Acutely Improves Mood in Individuals with Symptoms of Depression, Vikram R. Rao, Kristin K. Sellers, Deanna L. Wallace, Maryam M. Shanechi, Heather E. Dawes, Edward F. Chang. Current Biology. Published: November 29, 2018

Summary

Mood disorders cause significant morbidity and mortality, and existing therapies fail 20%–30% of patients. Deep brain stimulation (DBS) is an emerging treatment for refractory mood disorders, but its success depends critically on target selection. DBS focused on known targets within mood-related frontostriatal and limbic circuits has been variably efficacious.

Here, we examine the effects of stimulation in orbitofrontal cortex (OFC), a key hub for mood-related circuitry that has not been well characterized as a stimulation target. We studied 25 subjects with epilepsy who were implanted with intracranial electrodes for seizure localization. Baseline depression traits ranged from mild to severe. We serially assayed mood state over several days using a validated questionnaire. Continuous electrocorticography enabled investigation of neurophysiological correlates of mood-state changes. We used implanted electrodes to stimulate OFC and other brain regions while collecting verbal mood reports and questionnaire scores.

We found that unilateral stimulation of the lateral OFC produced acute, dose-dependent mood-state improvement in subjects with moderate-to-severe baseline depression. Stimulation suppressed low-frequency power in OFC, mirroring neurophysiological features that were associated with positive mood states during natural mood fluctuation. Stimulation potentiated single-pulse-evoked responses in OFC and modulated activity within distributed structures implicated in mood regulation. Behavioral responses to stimulation did not include hypomania and indicated an acute restoration to non-depressed mood state.

Together, these findings indicate that lateral OFC stimulation broadly modulates mood-related circuitry to improve mood state in depressed patients, revealing lateral OFC as a promising new target for therapeutic brain stimulation in mood disorders.

https://doi.org/10.1016/j.cub.2018.10.026

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