bluuebunny/crossref_metadata_2025_split huggingface dataset:
Common neural and transcriptional correlates of inhibitory control underlie emotion regulation and memory control
Authors: Liu Wei , Peeters Nancy , Fernández Guillén , Kohn Nils 
Published: June 2020

Abstract
Inhibitory control is crucial for regulating emotions and may also enable memory control. However, evidence for their shared neurobiological correlates is limited. Here, we report meta-analyses of neuroimaging studies on emotion regulation, or memory control and link neural commonalities to transcriptional commonalities using the Allen Human Brain Atlas (AHBA). Based on 95 functional magnetic resonance imaging studies, we reveal a role of the right inferior parietal lobule embedded in a frontal–parietal–insular network during emotion regulation and memory control, which is similarly recruited during response inhibition. These co-activation patterns also overlap with the networks associated with ‘inhibition’, ‘cognitive control’ and ‘working memory’ when consulting the Neurosynth. Using the AHBA, we demonstrate that emotion regulation- and memory control-related brain activity patterns are associated with transcriptional profiles of a specific set of ‘inhibition-related’ genes. Gene ontology enrichment analysis of these ‘inhibition-related’ genes reveal associations with the neuronal transmission and risk for major psychiatric disorders as well as seizures and alcoholic dependence. In summary, this study identified a neural network and a set of genes associated with inhibitory control across emotion regulation and memory control. These findings facilitate our understanding of the neurobiological correlates of inhibitory control and may contribute to the development of brain stimulation and pharmacological interventions.
Expert-level automated sleep staging of long-term scalp electroencephalography recordings using deep learning
Authors: Abou Jaoude Maurice , Sun Haoqi , Pellerin Kyle R , Pavlova Milena , Sarkis Rani A , Cash Sydney S , Westover M Brandon , Lam Alice D 
Published: June 2020

Abstract

Study Objectives
Develop a high-performing, automated sleep scoring algorithm that can be applied to long-term scalp electroencephalography (EEG) recordings.

Methods
Using a clinical dataset of polysomnograms from 6,431 patients (MGH–PSG dataset), we trained a deep neural network to classify sleep stages based on scalp EEG data. The algorithm consists of a convolutional neural network for feature extraction, followed by a recurrent neural network that extracts temporal dependencies of sleep stages. The algorithm’s inputs are four scalp EEG bipolar channels (F3-C3, C3-O1, F4-C4, and C4-O2), which can be derived from any standard PSG or scalp EEG recording. We initially trained the algorithm on the MGH–PSG dataset and used transfer learning to fine-tune it on a dataset of long-term (24–72 h) scalp EEG recordings from 112 patients (scalpEEG dataset).

Results
The algorithm achieved a Cohen’s kappa of 0.74 on the MGH–PSG holdout testing set and cross-validated Cohen’s kappa of 0.78 after optimization on the scalpEEG dataset. The algorithm also performed well on two publicly available PSG datasets, demonstrating high generalizability. Performance on all datasets was comparable to the inter-rater agreement of human sleep staging experts (Cohen’s kappa ~ 0.75 ± 0.11). The algorithm’s performance on long-term scalp EEGs was robust over a wide age range and across common EEG background abnormalities.

Conclusion
We developed a deep learning algorithm that achieves human expert level sleep staging performance on long-term scalp EEG recordings. This algorithm, which we have made publicly available, greatly facilitates the use of large long-term EEG clinical datasets for sleep-related research.
An integrated review of automation and robotic technologies for structural prefabrication and construction
Authors: Chea Cheav Por , Bai Yu , Pan Xuebei , Arashpour Mehrdad , Xie Yunpeng 
Published: June 2020

AbstractBuilding construction has developed from the use of primitive tools to that of machinery, with a tendency toward automation. Automation of processes and robotics can improve efficiency, accuracy and safety in construction. On the other hand, structural prefabrication for construction is increasingly being adopted worldwide to enhance productivity and to alleviate the environmental impact of conventional construction processes. The combination and application of automation and prefabrication technologies may therefore introduce new developments to the construction industry. This paper provides a comprehensive review of the use of automation technology for structural prefabrication and construction, including recent developments, challenges and future trends. Five stages following the sequence of construction are proposed: design, construction management, robotic manufacturing, autonomous transportation and automatic structural assembly. The paper concludes that the widespread use of automation technology is preferable to structural prefabrication for construction, and that the design for robotic construction introduced through connection innovations may be beneficial as a means of avoiding complex operations and thus improving the efficiency of robotic assembly processes.
Associations Among Sleep Disturbance, Pain Catastrophizing, and Pain Intensity for Methadone-maintained Patients With Opioid Use Disorder and Chronic Pain
Authors: Ponce Martinez Caridad , Edwards Karlyn A. , Roos Corey R. , Beitel Mark , Eller Anthony , Barry Declan T. 
Published: June 2020

Objective:
This study examined the cross-sectional associations among pain intensity, pain catastrophizing, and sleep disturbance among patients receiving methadone maintenance treatment (MMT) for opioid use disorder (OUD) and reporting co-occurring chronic pain.

Materials and Methods:
Participants were 89 individuals with OUD and chronic pain drawn from a larger cross-sectional study of 164 MMT patients who completed a battery of self-report measures. The authors conducted 6 mediation models to test all possible pathways (ie, each variable tested as an independent variable, mediator, or dependent variable).

Results:
The only significant mediation effect was an indirect effect of sleep disturbance on pain intensity through pain catastrophizing. That is, greater sleep disturbance was associated with greater pain catastrophizing, which in turn was associated with greater pain intensity.

Discussion:
Altogether, findings suggest that the sleep disturbance to pain catastrophizing to pain intensity pathway may be a key mechanistic pathway exacerbating pain issues among MMT patients with OUD and chronic pain. These results suggest that interventions targeting sleep disturbance may be warranted among MMT patients with OUD and chronic pain. Future work in this area with longitudinal data is warranted.
Awake Craniotomy Under 3-Tesla Intraoperative Magnetic Resonance Imaging: A Retrospective Descriptive Report and Canadian Institutional Experience
Authors: Chowdhury Tumul , Zeiler Frederick A. , Singh Narinder , Gray Kristen D.R. , Qadri Ali , Beiko Jason , Cappellani Ronald B. , West Michael 
Published: June 2020

Background:
The role of high-field 3-Tesla intraoperative magnetic resonance imaging (I-MRI) during awake craniotomy (AC) has not been extensively studied. We report the feasibility and safety of AC during 3-Tesla I-MRI.

Methods:
This retrospective descriptive report compared 3 groups: AC with minimal sedation and I-MRI; I-MRI-guided craniotomy under general anesthesia (GA), and; AC without I-MRI. Perioperative factors, surgical, anesthetic and radiologic complications, and postoperative morbidity and mortality were recorded.

Results:
Overall, 85 patients are included in this report. Five of 23 patients (22%) who underwent AC with I-MRI had anesthetic complications (nausea/vomiting and conversion to GA) compared with 3 of 40 (8%) who underwent I-MRI-guided craniotomy under GA (nausea/vomiting during extubation, and arrhythmia). Intraoperative surgical complications (seizures and speech deficits) occurred in 5 patients (22%) who underwent AC and I-MRI, excessive intraoperative bleeding occurred in 2 patients (5%) who had I-MRI-guided craniotomy under GA, and 4 of 22 (18%) patients who underwent AC without I-MRI experienced neurological complications (seizures, motor deficits, and transient loss of consciousness). Eight patients (20%) who had I-MRI with GA had postoperative complications, largely neurological. The duration of surgery and anesthesia were shortest in the group of patients receiving AC without I-MRI. Seventy-three percent of the patients in this group had residual tumor postoperatively compared with 44% and 38% in those having I-MRI with AC or GA, respectively. Patients who underwent I-MRI-guided craniotomy with GA had the highest morbidity (8%) at hospital discharge.

Conclusions:
Our institutional experience suggests that AC under 3-Tesla I-MRI could be an option for glioma resection, although firm conclusions cannot be drawn given the limited and heterogenous nature of our data. Future multicenter trials comparing anesthetic and imaging modalities for glioma resection are recommended.
Alcohol-related Outcomes and All-cause Mortality in the Health 2000 Survey by Participation Status and Compared with the Finnish Population
Authors: McMinn Megan A. , Gray Linsay , Härkänen Tommi , Tolonen Hanna , Pitkänen Joonas , Molaodi Oarabile R. , Leyland Alastair H. , Martikainen Pekka 
Published: June 2020

Background:
In the context of declining levels of participation, understanding differences between participants and non-participants in health surveys is increasingly important for reliable measurement of health-related behaviors and their social differentials. This study compared participants and non-participants of the Finnish Health 2000 survey, and participants and a representative sample of the target population, in terms of alcohol-related harms (hospitalizations and deaths) and all-cause mortality.

Methods:
We individually linked 6,127 survey participants and 1,040 non-participants, aged 30–79, and a register-based population sample (n = 496,079) to 12 years of subsequent administrative hospital discharge and mortality data. We estimated age-standardized rates and rate ratios for each outcome for non-participants and the population sample relative to participants with and without sampling weights by sex and educational attainment.

Results:
Harms and mortality were higher in non-participants, relative to participants for both men (rate ratios = 1.5 [95% confidence interval = 1.2, 1.9] for harms; 1.6 [1.3, 2.0] for mortality) and women (2.7 [1.6, 4.4] harms; 1.7 [1.4, 2.0] mortality). Non-participation bias in harms estimates in women increased with education and in all-cause mortality overall. Age-adjusted comparisons between the population sample and sampling weighted participants were inconclusive for differences by sex; however, there were some large differences by educational attainment level.

Conclusions:
Rates of harms and mortality in non-participants exceed those in participants. Weighted participants’ rates reflected those in the population well by age and sex, but insufficiently by educational attainment. Despite relatively high participation levels (85%), social differentiating factors and levels of harm and mortality were underestimated in the participants.
Time-varying Effects of Screen Media Exposure in the Relationship Between Socioeconomic Background and Childhood Obesity
Authors: Oude Groeniger Joost , de Koster Willem , van der Waal Jeroen 
Published: June 2020

Background:
We investigated to what extent social inequalities in childhood obesity could be reduced by eliminating differences in screen media exposure.

Methods:
We used longitudinal data from the UK-wide Millennium Cohort Study (n = 11,413). The study measured mother’s educational level at child’s age 5. We calculated screen media exposure as a combination of television viewing and computer use at ages 7 and 11. We derived obesity at age 14 from anthropometric measures. We estimated a counterfactual disparity measure of the unmediated association between mother’s education and obesity by fitting an inverse probability-weighted marginal structural model, adjusting for mediator–outcome confounders.

Results:
Compared with children of mothers with a university degree, children of mothers with education to age 16 were 1.9 (95% confidence interval [CI] = 1.5, 2.3) times as likely to be obese. Those whose mothers had no qualifications were 2.0 (95% CI = 1.5, 2.5) times as likely to be obese. Compared with mothers with university qualifications, the estimated counterfactual disparity in obesity at age 14, if educational differences in screen media exposure at age 7 and 11 were eliminated, was 1.8 (95% CI = 1.4, 2.2) for mothers with education to age 16 and 1.8 (95% CI = 1.4, 2.4) for mothers with no qualifications on the risk ratio scale. Hence, relative inequalities in childhood obesity would reduce by 13% (95% CI = 1%, 26%) and 17% (95% CI = 1%, 33%). Estimated reductions on the risk difference scale (absolute inequalities) were of similar magnitude.

Conclusions:
Our findings are consistent with the hypothesis that social inequalities in screen media exposure contribute substantially to social inequalities in childhood obesity.
Intergenerational Change in Birthweight
Authors: Andrasfay Theresa , Goldman Noreen 
Published: June 2020

Background:
Foreign-born women have heavier infants than US-born women, but it is unclear whether this advantage persists across generations for all races and ethnicities.

Methods:
Using 1971–2015 Florida birth records, we linked records of female infants within families to assess intergenerational changes in birthweight and prevalence of low birthweight by grandmother’s race/ethnicity and foreign-born status. We also assessed educational gradients in low birthweight in two generations.

Results:
Compared with daughters of US-born black women, daughters of foreign-born black women had substantially higher birthweights (3,199 vs. 3,083 g) and lower prevalence of low birthweight (7.8% vs. 11.8%). Daughters of foreign-born Hispanic women had moderately higher birthweights (3,322 vs. 3,268 grams) and lower prevalence of low birthweight (4.5% vs. 6.2%) than daughters of US-born Hispanic women. In the next generation, a Hispanic foreign-origin advantage persisted in low birthweight prevalence (6.1% vs. 7.2%), but the corresponding black foreign-origin advantage was almost eliminated (12.2% vs. 13.1%). Findings were robust to adjustment for sociodemographic and medical risk factors. In contrast to patterns for other women, the prevalence of low birthweight varied little by maternal education for foreign-born black women. However, a gradient emerged among their US-born daughters.

Conclusions:
The convergence of birthweight between descendants of foreign-born and US-born black women is consistent with theories positing that lifetime exposure to discrimination and socioeconomic inequality is associated with adverse health outcomes for black women. The emergence of a distinct educational gradient in low birthweight prevalence between generations underscores hypothesized adverse effects of multiple dimensions of disadvantage.
The Eyelid Crease Height, Depth, and Shape: A Scoring System for Revisional Asian Blepharoplasty
Authors: Chen William Pai-Dei 
Published: June 2020

Background:
This study reports on a series of challenging revisional Asian blepharoplasty cases with various suboptimal factors, including high or low crease height, shallow or deep crease indentation (depth), and suboptimal crease shape. The study also presents a simple scoring scale that combines these challenges into a composite score, which has helped in the management of these cases.

Methods:
Data on 64 revisional cases were collected between January 1, 2006, and June 30, 2019, with 126 upper eyelids. These were cases with little skin remaining after previous surgeries, and each eyelid was scored based on a height, depth, shape scoring method. A composite score (H + D + S) is then summed up, which ranged from 1 to 10, with the higher number being the most challenging. The logic and rules behind this scoring scale are explained.

Results:
Data regarding age, gender, and eyelid crease characteristics of the cases were collected; photographs, notes, and diagrams in the medical records were used to complete each eyelid’s scoring. The age of the patients (57 women and 7 men) ranged from 21 to 74 years. The revision score distribution, age distribution, and averaged scores within each age group were investigated for those starting at 24 years or younger, and for each added decade until over 65 years. Patients with revisional effort scores of 5–8 were found in all age groups surveyed.

Conclusions:
In this study, the author presents a practical scoring scale that recognizes the factors responsible for the suboptimal results in double eyelid plasty and helps clinicians in management, patient-counseling, and planning of surgical solutions.
Effect of Different Antioxidants on X-ray Induced DNA Double-strand Breaks Using γ-H2AX in Human Blood Lymphocytes
Authors: Bicheru Nicoleta Simona , Haidoiu Cerasela , Călborean Octavian , Popa Adrian , Porosnicu Ioana , Hertzog Radu 
Published: June 2020

AbstractIonizing radiation exposure produces direct or indirect biological effects on genomic DNA. The latter are ionizing radiation mediated by induction of free radicals and oxygen species (ROS). The study was conducted to evaluate the dose-effect/time-effect of antioxidant treatments in reducing the induction of double-strand breaks in human blood lymphocytes. Human peripheral blood samples of 2 mL each from healthy donors were irradiated with 10 mGy after pre-incubation with different antioxidants (β-carotene, vitamin E, vitamin C, N-acetyl L-cysteine). In order to assess their efficiency as prophylactic therapy for irradiation, various concentrations and combinations of antioxidants, as well as different incubation times, have been evaluated. To assess double-strand breaks induced by ionizing radiation, the phosphorylated histone γ-H2AX has been used. A significant reduction (p< 0.001) in double-strand breaks studied with a γ-H2AX assay was observed with N-acetyl L-cysteine with a 1-h incubation time, followed by vitamin C, vitamin E, and β-carotene. The use of antioxidants, especially N-acetyl L-cysteine before irradiation, significantly decreased the occurrence of double-strand breaks, demonstrating the potential radiological protection for exposure to ionizing radiation.
Estimates of Long-Term Disability Among US Service Members With Traumatic Brain Injuries
Authors: Agimi Yll , Marion Donald , Schwab Karen , Stout Katharine 
Published: June 2020

Background:
Traumatic brain injury (TBI) is a significant health issue in the US military. The purpose of this study was to estimate the probability of long-term disability among hospitalized service members (SMs) with TBIs, using the South Carolina Traumatic Brain Injury and Follow-up Registry (SCTBIFR) model developed on civilian hospitalized patients.

Methods:
We identified military patients in military or civilian hospitals or theater level 3 to 5 military treatment facilities (MTFs) whose first TBI occurred between October 1, 2013, and September 30, 2015. TBI-related disability at 1-year post–hospital discharge was estimated using regression coefficients from the SCTBIFR.

Results:
Among the identified 4877 SMs, an estimated 65.6% of SMs with severe TBI, 56.2% with penetrating TBI, 31.4% with moderate TBI, and 12.0% with mild TBI are predicted to develop long-term disability. TBI patients identified at theater level 4 and 5 MTFs had an average long-term disability rate of 56.9% and 61.1%, respectively. In total, we estimate that 25.2% of all SMs hospitalized with TBI will develop long-term disability.

Conclusion
Applying SCTBIFR long-term probability estimates to US SMs with TBIs provides useful disability estimates to inform providers and health systems on the likelihood that particular subgroups of TBI patients will require continued support and long-term care.
Influence of Concomitant Extracranial Injury on Functional and Cognitive Recovery From Mild Versus Moderate to Severe Traumatic Brain Injury
Authors: Carroll Ellen L. , Manktelow Anne E. , Outtrim Joanne G. , Chatfield Doris , Forsyth Faye , Hutchinson Peter J. A. , Tenovuo Olli , Posti Jussi P. , Wilson Lindsay , Sahakian Barbara J. , Menon David K. , Newcombe Virginia F. J. 
Published: June 2020

Objective:
To determine the effect of extracranial injury (ECI) on 6-month outcome in patients with mild traumatic brain injury (TBI) versus moderate-to-severe TBI.

Participants/Setting:
Patients with TBI (n = 135) or isolated orthopedic injury (n = 25) admitted to a UK major trauma center and healthy volunteers (n = 99).

Design:
Case-control observational study.

Main Measures:
Primary outcomes: (a) Glasgow Outcome Scale Extended (GOSE), (b) depression, (c) quality of life (QOL), and (d) cognitive impairment including verbal fluency, episodic memory, short-term recognition memory, working memory, sustained attention, and attentional flexibility.

Results:
Outcome was influenced by both TBI severity and concomitant ECI. The influence of ECI was restricted to mild TBI; GOSE, QOL, and depression outcomes were significantly poorer following moderate-to-severe TBI than after isolated mild TBI (but not relative to mild TBI plus ECI). Cognitive impairment was driven solely by TBI severity. General health, bodily pain, semantic verbal fluency, spatial recognition memory, working memory span, and attentional flexibility were unaffected by TBI severity and additional ECI.

Conclusion:
The presence of concomitant ECI ought to be considered alongside brain injury severity when characterizing the functional and neurocognitive effects of TBI, with each presenting challenges to recovery.
Feasibility of Mild Traumatic Brain Injury Assessment Based on Cardiovascular Response to Postural Change
Authors: Russell Katie N. , Preble Edward A. , Hegarty-Craver Meghan , Arrieux Jacques P. , Cole Wesley R. , Choi Y. Sammy , Grego Sonia , Rae Olmsted Kristine , Gilchrist Kristin H. 
Published: June 2020

Objective:
To determine the feasibility of short-term cardiovascular responses to postural change as a screening tool for mild traumatic brain injury (mTBI), using heart rate metrics that can be measured with a wearable electrocardiogram sensor.

Setting:
Military TBI clinic.

Design:
Data collected from active-duty service members who had sustained a medically diagnosed mTBI within the prior 72 hours and from age- and sex-matched controls. Cardiac data collected while participants performed a sequence of postural changes.

Main Measures:
Model classification compared with clinical mTBI diagnosis.

Results:
Cardiac biomarkers of mTBI were identified and logistic regression classifiers for mTBI were developed from different subsets of biomarkers. The best model achieved 90% sensitivity and 69% specificity using data from 2 different postural changes.

Conclusion:
Noninvasive measurement of cardiovascular response to postural change is a promising approach for field-deployable post-mTBI screening.