bluuebunny/crossref_metadata_2025_split huggingface dataset:
Imaging of the Lungs in Organ Donors and its Clinical Relevance
Authors: Bozovic Gracijela , Adlercreutz Catharina , Höglund Peter , Björkman-Burtscher Isabella , Reinstrup Peter , Ingemansson Richard , Schaefer-Prokop Cornelia , Siemund Roger , Geijer Mats 
Published: January 2017

Purpose:
The aim of the study was to retrospectively evaluate the diagnostic imaging that potential lung donors undergo, the reader variability of image interpretation and its relevance for donation, and the potential information gained from imaging studies not primarily intended for lung evaluation but partially including them.

Materials and Methods:
Bedside chest radiography and computed tomography (CT), completely or incompletely including the lungs, of 110 brain-dead potential organ donors in a single institution during 2007 to 2014 were reviewed from a donation perspective. Two chest radiologists in consensus analyzed catheters and cardiovascular, parenchymal, and pleural findings. Clinical reports and study review were compared for substantial differences in findings that could have led to a treatment change, triggered additional examinations such as bronchoscopy, or were considered important for donation.

Results:
Among 136 bedside chest radiographs, no differences between clinical reports and study reviews were found in 37 (27%), minor differences were found in 28 (21%), and substantial differences were found in 71 (52%) examinations (P<0.0001). In 31 of 42 (74%) complete or incomplete CT examinations, 50 of 74 findings with relevance for lung donation were not primarily reported (P<0.0001).

Conclusions:
The majority of donor patients undergo only chest radiography. A targeted imaging review of abnormalities affecting the decision to use donor lungs may be useful in the preoperative stage. With a targeted list, substantial changes were made from initial clinical interpretations. CT can provide valuable information on donor lung pathology, even if the lungs are only partially imaged.
Contributions of low- and high-level properties to neural processing of visual scenes in the human brain
Authors: Groen Iris I. A. , Silson Edward H. , Baker Chris I. 
Published: January 2017

Visual scene analysis in humans has been characterized by the presence of regions in extrastriate cortex that are selectively responsive to scenes compared with objects or faces. While these regions have often been interpreted as representing high-level properties of scenes (e.g. category), they also exhibit substantial sensitivity to low-level (e.g. spatial frequency) and mid-level (e.g. spatial layout) properties, and it is unclear how these disparate findings can be united in a single framework. In this opinion piece, we suggest that this problem can be resolved by questioning the utility of the classical low- to high-level framework of visual perception for scene processing, and discuss why low- and mid-level properties may be particularly diagnostic for the behavioural goals specific to scene perception as compared to object recognition. In particular, we highlight the contributions of low-level vision to scene representation by reviewing (i) retinotopic biases and receptive field properties of scene-selective regions and (ii) the temporal dynamics of scene perception that demonstrate overlap of low- and mid-level feature representations with those of scene category. We discuss the relevance of these findings for scene perception and suggest a more expansive framework for visual scene analysis.This article is part of the themed issue ‘Auditory and visual scene analysis’.
Auditory multistability and neurotransmitter concentrations in the human brain
Authors: Kondo Hirohito M. , Farkas Dávid , Denham Susan L. , Asai Tomohisa , Winkler István 
Published: January 2017

Multistability in perception is a powerful tool for investigating sensory–perceptual transformations, because it produces dissociations between sensory inputs and subjective experience. Spontaneous switching between different perceptual objects occurs during prolonged listening to a sound sequence of tone triplets or repeated words (termed auditory streaming and verbal transformations, respectively). We used these examples of auditory multistability to examine to what extent neurochemical and cognitive factors influence the observed idiosyncratic patterns of switching between perceptual objects. The concentrations of glutamate–glutamine (Glx) and γ-aminobutyric acid (GABA) in brain regions were measured by magnetic resonance spectroscopy, while personality traits and executive functions were assessed using questionnaires and response inhibition tasks. Idiosyncratic patterns of perceptual switching in the two multistable stimulus configurations were identified using a multidimensional scaling (MDS) analysis. Intriguingly, although switching patterns within each individual differed between auditory streaming and verbal transformations, similar MDS dimensions were extracted separately from the two datasets. Individual switching patterns were significantly correlated with Glx and GABA concentrations in auditory cortex and inferior frontal cortex but not with the personality traits and executive functions. Our results suggest that auditory perceptual organization depends on the balance between neural excitation and inhibition in different brain regions.
This article is part of the themed issue ‘Auditory and visual scene analysis'.
An auditory illusion reveals the role of streaming in the temporal misallocation of perceptual objects
Authors: Mehta Anahita H. , Jacoby Nori , Yasin Ifat , Oxenham Andrew J. , Shamma Shihab A. 
Published: January 2017

This study investigates the neural correlates and processes underlying the ambiguous percept produced by a stimulus similar to Deutsch's ‘octave illusion’, in which each ear is presented with a sequence of alternating pure tones of low and high frequencies. The same sequence is presented to each ear, but in opposite phase, such that the left and right ears receive a high–low–high … and a low–high–low … pattern, respectively. Listeners generally report hearing the illusion of an alternating pattern of low and high tones, with all the low tones lateralized to one side and all the high tones lateralized to the other side. The current explanation of the illusion is that it reflects an illusory feature conjunction of pitch and perceived location. Using psychophysics and electroencephalogram measures, we test this and an alternative hypothesis involving synchronous and sequential stream segregation, and investigate potential neural correlates of the illusion. We find that the illusion of alternating tones arises from the synchronous tone pairs across ears rather than sequential tones in one ear, suggesting that the illusion involves a misattribution of time across perceptual streams, rather than a misattribution of location within a stream. The results provide new insights into the mechanisms of binaural streaming and synchronous sound segregation.
This article is part of the themed issue ‘Auditory and visual scene analysis’.
The singular nature of auditory and visual scene analysis in autism
Authors: Lin I.-Fan , Shirama Aya , Kato Nobumasa , Kashino Makio 
Published: January 2017

Individuals with autism spectrum disorder often have difficulty acquiring relevant auditory and visual information in daily environments, despite not being diagnosed as hearing impaired or having low vision. Resent psychophysical and neurophysiological studies have shown that autistic individuals have highly specific individual differences at various levels of information processing, including feature extraction, automatic grouping and top-down modulation in auditory and visual scene analysis. Comparison of the characteristics of scene analysis between auditory and visual modalities reveals some essential commonalities, which could provide clues about the underlying neural mechanisms. Further progress in this line of research may suggest effective methods for diagnosing and supporting autistic individuals.
This article is part of the themed issue ‘Auditory and visual scene analysis'.
Composite measurements and molecular compressed sensing for highly efficient transcriptomics
Authors: Cleary Brian , Cong Le , Lander Eric S. , Regev Aviv 
Published: January 2017

AbstractRNA profiling is an excellent phenotype of cellular responses and tissue states, but can be costly to generate at the massive scale required for studies of regulatory circuits, genetic states or perturbation screens. Here, we draw on a series of advances over the last decade in the field of mathematics to establish a rigorous link between biological structure, data compressibility, and efficient data acquisition. We propose that very few random composite measurements – in which gene abundances are combined in a random linear combination – are needed to approximate the high-dimensional similarity between any pair of gene abundance profiles. We then show how finding latent, sparse representations of gene expression data would enable us to “decompress” a small number of random composite measurements and recover high-dimensional gene expression levels that were not measured (unobserved). We present a new algorithm for finding sparse, modular structure, which improves the ability to interpret samples in terms of small numbers of active modules, and show that the modular structure we find is sufficient to recover gene expression profiles from composite measurements (with ~100-fold fewer composite measurements than genes). Moreover, the knowledge that sparse, modular structures exist allows us to recover expression profiles from composite measurements, even without access to any training data. Finally, we present a proof-of-concept experiment for making composite measurements in the laboratory, involving the measurement of linear combinations of RNA abundances. Altogether, our results suggest new compressive modalities in experimental biology that can form a foundation for massive scaling in high-throughput measurements, while also offering new insights into the interpretation of high-dimensional data.
Heritable tumor cell division rate heterogeneity induces clonal dominance
Authors: Palm Margriet M. , Elemans Marjet , Beltman Joost B. 
Published: January 2017

AbstractTumors consist of a hierarchical population of cells that differ in their phenotype and genotype. This hierarchical organization of cells means that a few clones (i.e., cells and several generations of offspring) are abundant while most are rare, which is calledclonal dominance. Such dominance also occurred in publishedin vitroiterated growth and passage experiments with tumor cells in which genetic barcodes were used for lineage tracing. A potential source for such heterogeneity is that dominant clones derive from cancer stem cells with an unlimited self-renewal capacity. Furthermore, ongoing evolution within the growing population may also induce clonal dominance. To understand how clonal dominance developed in the iterated growth and passage experiments, we built a computational model that accurately simulates these experiments. The model simulations reproduced the clonal dominance that developed inin vitroiterated growth and passage experiments when the division rates vary between cells, due to a combination of initial variation and of ongoing mutational processes. In contrast, the experimental results can neither be reproduced with a model that considers random growth and passage, nor with a model based on cancer stem cells. Altogether, our model suggests thatin vitroclonal dominance develops due to selection of fast-dividing clones.
Beyond modularity: Fine-scale mechanisms and rules for brain network reconfiguration
Authors: Khambhati Ankit N. , Mattar Marcelo G. , Bassett Danielle S. 
Published: January 2017

AbstractThe human brain is in constant flux, as distinct areas engage in transient communication to support basic behaviors as well as complex cognition. The collection of interactions between cortical and subcortical areas forms a functional brain network whose topology evolves with time. Despite the nontrivial dynamics that are germaine to this networked system, experimental evidence demonstrates that functional interactions organize into putative brain systems that facilitate different facets of cognitive computation. We hypothesize that such dynamic functional networks are organized around a set of rules that constrain their spatial architecture – which brain regions may functionally interact – and their temporal architecture – how these interactions fluctuate over time. To objectively uncover these organizing principles, we apply an unsupervised machine learning approach called nonnegative matrix factorization to time-evolving, resting state functional networks in 20 healthy subjects. This machine-learning approach automatically clusters temporally co-varying functional interactions into subgraphs that represent putative topological modes of dynamic functional architecture. We find that subgraphs are stratified based on both the underlying modular organization and the topographical distance of their strongest interactions: while many subgraphs are largely contained within modules, others span between modules and are expressed differently over time. The relationship between dynamic subgraphs and modular architecture is further highlighted by the ability of time-varying subgraph expression to explain inter-individual differences in module reorganization. Collectively, these results point to the critical role subgraphs play in constraining the topography and topology of functional brain networks. More broadly, this machine learning approach opens a new door for understanding the architecture of dynamic functional networks during both task and rest states, and for probing alterations of that architecture in disease.
Examining the experiences and quality of life of patients with an autism spectrum disorder detained in high secure psychiatric care
Authors: Murphy David , Mullens Hannah 
Published: January 2017

Purpose
Although individuals with an autism spectrum disorder (ASD) represent a small proportion of forensic psychiatric patients as a group they present with specific difficulties and needs. There is also evidence that if detained individuals with an ASD experience particular difficulties within custodial environments as a result of a mismatch between the difficulties associated with their ASD and the environmental demands. The purpose of this paper is to explore the experience of individuals with an ASD admitted to a high secure psychiatric care (HSPC) hospital.

Design/methodology/approach
Using both a semi-structured interview and a quality of life self-report measure (the Lancashire Quality of Life Profile) the experiences and views of seven patients with an ASD detained in one HSPC hospital were qualitatively explored.

Findings
Whilst a diverse range of negative and positive aspects of being within HSPC were identified by patients interviewed, those with prison experience thought HSPC was a less stressful environment with more therapeutic opportunities. As a group, patients with an ASD reported a similar or significantly better quality of life in many domains (global, leisure, financial and living situation) compared to other detained forensic patient groups.

Practical implications
Although most patients with an ASD interviewed reported positive experiences, there are a number of practical improvements that could be made within the hospital to reduce experienced stress levels and perhaps improve therapeutic outcomes.

Originality/value
Within the context of the Department of Health's autism strategy (2010) and subsequent update think autism (2014), the survey highlights continued ASD awareness training for staff as important. In responding to the risks and needs of individuals with an ASD in HSPC there is further support for the development of an ASD specialist service.
Are we good and are we safe? Measuring quality and assessing risk in an adult autism diagnostic service
Authors: Stansfield Alison Jane , Kam Alwyn , Baddams Tara , Woodrow Bethany , Roberts Emma , Patel Bhavika , Davidson Conor James 
Published: January 2017

Purpose
Leeds autism diagnostic service is an adult autism diagnostic service for people of any intellectual ability which also offers consultancy to service users/carers or professionals, as well as a wide range of autism training. The service was set up as a pilot in 2011 and a paper describing the service development was published in this journal in November 2015. The purpose of this paper is to describe the approach taken to measure the quality of the service the authors provide and accurately assess risk in adults with autism.

Design/methodology/approach
The process of evaluating appropriate outcome measures is described, along with considering appropriate risk assessment tools for use in the community. Over 200 people each year complete the autism diagnostic pathway, and 164 patients were invited to respond to service evaluation questionnaires in 2014.

Findings
To date, the most useful outcome measures for this group include a prospective service user questionnaire which enables service user opinion to influence service development. In the absence of any appropriate autism-specific risk assessment tools, the service has developed one which it is currently piloting. This has proved particularly useful in the consultancy setting

Originality/value
This paper is a follow-up paper looking at the day-to-day issues that the team have had to grapple with – how do you assess whether what you are doing is providing the best possible service for the people that you serve and how do you accurately assess risk in this population?
Cognitive behaviour therapy for social anxiety in autism spectrum disorder: a systematic review
Authors: Spain Debbie , Sin Jacqueline , Harwood Laura , Mendez Maria Andreina , Happé Francesca 
Published: January 2017

Purpose
Individuals who have autism spectrum disorders (ASD) commonly experience anxiety about social interaction and social situations. Cognitive behaviour therapy (CBT) is a recommended treatment for social anxiety (SA) in the non-ASD population. Therapy typically comprises cognitive interventions, imagery-based work and for some individuals, behavioural interventions. Whether these are useful for the ASD population is unclear. Therefore, the purpose of this paper is to undertake a systematic review to summarise research about CBT for SA in ASD.

Design/methodology/approach
Using a priori criteria, the authors searched for English-language peer-reviewed empirical studies in five databases. The search yielded 1,364 results. Titles, abstracts, and relevant publications were independently screened by two reviewers.

Findings
Four single case studies met the review inclusion criteria; data were synthesised narratively. Participants (three adults and one child) were diagnosed with ASD and SA. There were commonalities in interventions and techniques used: participants were encouraged to identify and challenge negative thoughts, enter anxiety-provoking social situations, and develop new ways of coping. Unlike CBT for SA in non-ASD individuals, treatment also included social skills interventions. Outcomes were assessed using self- or informant-reports. Improvements in SA, depressive symptoms, social skills, and activity levels were noted. Generalisability of results is hampered, however, by the small number of studies and participants and lack of randomised controlled trial conditions employed.

Research limitations/implications
Future studies should investigate how beliefs and behaviours indicative of SA can be ameliorated in individuals with ASD.

Originality/value
This is the first review to synthesise empirical data about CBT for SA in ASD.
A conceptual physical education course and college freshmen’s health-related fitness
Authors: Liu Jingwen , Shangguan Rulan , Keating Xiaofen D. , Leitner Jessica , Wu Yigang 
Published: January 2017

PurposeConceptual physical education (CPE) classes have been widely offered to promote a healthy lifestyle in higher education settings. The purpose of this paper is to examine the effects of a CPE course on health-related fitness (HRF) levels among college freshmen.Design/methodology/approachA pre- and post-test research design was used. In total, 50 freshmen in a US university were enrolled in a 13-week CPE course. Their HRF levels were assessed by the Fitnessgram at the beginning and the end of the course.FindingsStudents significantly enhanced their aerobic capacity, upper-body muscle strength and endurance, abdominal muscle strength and endurance, and decreased body fat percentage. No significant improvement in flexibility was found among the total sample. However, non-kinesiology students significantly enhanced their flexibility while the opposite trend was found among kinesiology students. Female students reduced more body fat percentage, while male students increased their aerobic capacity more rapidly than their female counterparts.Practical implicationsThe CPE course could yield significant improvement in HRF among freshmen, regardless of sex or major. Universities may consider offering CPE courses for all students and mandate such courses as a degree requirement.Originality/valueThis empirical study investigated HRF level changes that occurred after a CPE course intervention among college freshmen. Sex and major difference in HRF changes were revealed. The interventions included in the CPE course could help improve freshmen's HRF levels in future intervention programs in a similar setting.
How the media cover mental illnesses: a review
Authors: Ma Zexin 
Published: January 2017

Purpose
Mental illness has become an important public health issue in society, and media are the most common sources of information about mental illnesses. Thus, it is important to review research on mental illnesses and media. The purpose of this paper is to provide a narrative review of studies on mental illnesses in the media and identifies important research gaps.

Design/methodology/approach
A combination of searching key databases and examining reference lists of selected articles was used to identify relevant articles. In total, 41 empirical studies published in the last 12 years were reviewed.

Findings
The review found that substantial research had been done to investigate media portrayals of mental illnesses and the effects of such portrayals might have on the public. Media still portray mental illnesses negatively in general, which contributes to the ongoing mental illness stigmatization. Nonetheless, discussions of mental illnesses in direct-to-consumer advertisements and social media tend to be more objective and informative. These objective portrayals could help improve mental health literacy and reduce stigma. More importantly, media can also reduce the stigma if used strategically. Research has found that entertainment-education programs and web-based media have strong potential in reducing mental illness stigma. Recommendations for future research are also discussed.

Practical implications
Findings can guide future efforts to use media to educate the public about mental illnesses and reduce mental illness stigma.

Originality/value
This study reviews the most recent research on mental illnesses in the media and provides important references on the media representation of mental illnesses, media effects of such representation, and using media to reduce stigma.