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Autism spectrum disorder (ASD) has been studied as a neurodevelopmental disorder since Leo Kanner's early observations of abnormal head circumference in autistic children. In the past few years, there has been much progress made in elucidating the anatomical and functional abnormalities in ASD. This paper aims to summarise the extant research.

This paper provides a summary of relevant research findings in the neuroimaging of autism for the past 12 month period. Papers were identified using the Medline search terms: autism; ASD (functional); magnetic resonance imaging (MRI); neuroimaging; diffusion tensor imaging (DTI); and endophenotype.

Relatively recent techniques such as functional MRI and DTI have furthered the initial work derived from early histological and structural imaging studies. Even newer techniques, such as DTI tractography and support vector machine analysis, and other computer‐based learning methods have allowed us to move beyond regional variations in grey and white matter volume and study ASD as a disorder of connectivity, and of regional cerebral function and neural circuitry. Brain regions and neural circuits that are implicated in the core symptoms of ASD (deficits in social reciprocity, language and communication, and restricted and stereotyped interests) have been repeatedly shown to be abnormal in those individuals.

This paper aims to provide a background for clinicians to the current research and focuses on developments in the field of neuroimaging of ASD from the past year, which have generated further insights into the neurobiology of ASD.

Neuroimaging research has substantially enhanced our understanding of the neurobiological mechanisms of typical and atypical learning in children. These developments can advance the design of novel approaches to diagnosis and intervention for learning disabilities. Despite the promise of educational neuroscience, there are still walls between neuroscience and special education researchers such that more collaboration and understanding are needed between these disciplines. This chapter attempts to break down the walls by discussing how neuroimaging techniques can be incorporated into special education research. We also present arguments as to why neuroscience is “the next big thing” in special education research and the obstacles that must be overcome in order for neuroscience to be incorporated into education research. To describe how neurobiology might impact special education, we focus primarily on reading disability. We believe that educational neuroscience can aid in the identification and intervention of other learning disorders as well.

Gliomas are common intracranial tumors with the characteristic of diffuse and invasive growth. The prognosis is poor, and the recurrence rate and mortality are higher. With the development of big data technology, many methods such as natural language processing, computer vision and image processing have been deeply applied in the medical field. This can help clinicians to provide personalized and precise diagnosis and therapeutic schedule for patients with different type of gliomas to achieve the best therapeutic effect. The purpose of this paper is to summarize and extract useful information from published research results by conducting a secondary analysis of the literature.

The PubMed and China National Knowledge Infrastructure (CNKI) literature database were used to retrieve published Chinese and English research papers about human gliomas. Comprehensive analysis was applied to conduct this research. The factors affecting survival and prognosis were screened and analyzed respectively in this paper, and different methods for multidimensional data of patients were discussed.

This paper identified biomarkers and therapeutic modalities associated with prognosis for different grade of gliomas. This paper investigated the relationship among these clinical prognostic factors and different histopathologic tying and grade of gliomas by comprehensive analysis. This paper summarizes the research progress of biomarker in medical imaging and genomics of gliomas to improve prognosis and the current status of treatment in China.

Combined with multimodal data such as genomics data, medical image data and clinical information data, this paper comprehensively analyzed the prognostic factors of glioma and provided guidance and evidence for rational treatment planning and improvement of clinical treatment prognosis.

Blast‐induced traumatic brain injury (TBI) is a signature injury of the current military conflicts. Among the different types of TBI, diffuse axonal injury (DAI) plays an important role since it can lead to devastating effects in the inflicted military personnel. To better understand the potential causes associated with DAI, this paper aims to investigate a transient non‐linear dynamics finite element simulation of the response of the brain white matter to shock loading.

Brain white matter is considered to be a heterogeneous material consisting of fiber‐like axons and a structure‐less extracellular matrix (ECM). The brain white matter microstructure in the investigated corpus callosum region of the brain is idealized using a regular hexagonal arrangement of aligned equal‐size axons. Deviatoric stress response of the axon and the ECM is modeled using a linear isotropic viscoelastic formulation while the hydrostatic stress response is modeled using a shock‐type equation of state. To account for the stochastic character of the brain white matter microstructure and shock loading, a parametric study is carried out involving a factorial variation of the key microstructural and waveform parameters.

The results obtained show that the extent of axon undulations and the strength of axon/ECM bonding profoundly affect the spatial distribution and magnitude of the axonal axial normal and shear stresses (the stresses which can cause diffuse axonal injury).

The present approach enables a more accurate determination of the mechanical behavior of brain white matter when subjected to a shock.

This chapter interrogates notions of the child and her brain as configured in the laboratory of pediatric neuroscientists, and by parents (overwhelmingly: mothers) of children classified for special education services on the basis of their varied learning capacities and incapacities. Data are drawn from my current New York-based study in a laboratory conducting fMRI research on resting-state differences amongst controls and children variously diagnosed with attention deficit hyper-activity disorder (ADHD), learning disabilities, autism and Tourette syndrome. Parents of children with those same diagnoses struggle with the strengths as well as the school-based weaknesses of their children, and in interviews they picture their children's brains quite differently than do the scientists. Young adult activists who grew up with the diagnoses of ADHD and learning disabilities appropriate lab-based descriptions of neurological difference to their own purposes, claiming a positive identity for themselves. At stake in the space between these diverse perspectives on childhood difference is the future of human developmental variability as it comes under biomedical research and regulation.

Mild traumatic brain injury (mTBI) is a common occurrence. For most people recovery is quick and complete. For a minority disability persists. This paper aims to discuss the factors that likely give rise to this on‐going disability and discuss the current evidence‐based approaches to treatment.

A selective review of the contemporaneous research literature was undertaken.

On‐going disability following mTBI is likely to be secondary to a combination of factors, namely subtle organic damage, psychological factors and situational/motivational factors. These factors likely operate to different degrees in different individuals and may vary over time in individual cases. Treatment in the form of a multi‐disciplinary assessment, accurate sign‐posting to appropriate services and cognitive‐behavioural psychotherapy is likely to improve outcomes for some with on‐going disability following mTBI.

Future research should aim to identify at an early stage post‐injury those individuals at risk of developing on‐going disability following mTBI and the efficacy of different treatment approaches.

Earlier identification of individuals not making the expected rapid recovery from mTBI, followed by appropriate multi‐disciplinary assessment and intervention would likely improve outcomes for patients at risk of developing on‐going disability following mTBI.

This paper is of value to healthcare professionals who encounter individuals reporting on‐going symptoms and problems following an apparently mild traumatic brain injury.

Sturge-Weber-Krabe syndrome (SWS), also known as encephalotrigeminalangiomatosis and named the forthfacomatosis, recall the names of the authors who first describedit in its basic clinical, radiological andanatomopathological aspects. We report here 14 cases of Sturge-Weber disease. In 6 of these, despite what had been previously described in literature, an extension of the angioma has been noted in other parts of the body. The study of these subjects stresses not only the need for a pharmacological/neuropsychomotor intervention, but alsothe need of a psychotherapeutic approach, for the emotional and affective implications thatcould derive from this syndrome. The reported cases are similar to those presented in literature for their main features. In particular, two elements are interesting: i) the exceptional diffusion of the red nevousto the whole hemicorpo; and ii) the evaluation of the way the patients live the disease, which has not beenpreviously considered in literature. We can conclude that SWS is a multisystem disorder that requires the neurologist to be aware of the possible endocrine, psychiatric, ophthalmological, and other medical issues that can arise and impact on the neurological status of the patients.

Neuroimaging technologies such as electroencephalogram and magnetic resonance imaging allow us to analyze consumers’ brains in real time as they experience emotions. These technologies collect and integrate data on consumers’ brains for big data analytics. The purpose of this paper is to identify new opportunities and challenges for neuromarketing as an applied neuroscience.

The authors discuss conceptual and methodological contributions of neuromarketing based on studies that have employed neural approaches in market-related investigations, explaining the various tools and designs of neuromarketing research. The authors identify marketing-related questions to which neuroscientific approaches can make meaningful contributions, evaluating several challenges that lie ahead for neuromarketing.

The authors summarize the contributions of neuromarketing and discuss synergistic findings that neuromarketing has the potential to yield.

The authors ask: do consumers’ self-reported choices and their neural representations tell different stories?; what are the effects of subtle and peripheral marketing stimuli?; and can neuromarketing help to reveal the underlying causal mechanisms for perceptual and learning processes, such as motivation and emotions?

The authors identify marketing-related questions to which neuroscientific approaches can make meaningful contributions, evaluating several challenges that lie ahead for neuromarketing.

To the best of the authors’ knowledge, no current review has identified avenues for future research in neuromarketing and the emerging challenges that researchers may face. The current paper aims to update readers on what neuroscience and other psychophysiological measures have achieved, as well as what these tools have to offer in the field of marketing. The authors also aim to foster greater application of neuroscientific methods, beyond the more biased/post-test methods such as self-report studies, which currently exist in consumer research.