When talking about decisionmaking for children with a life-threatening condition, the death of children with brain tumors deserves special attention. The last days of the lives of these children can be particularly harsh for bystanders, and raise questions about the suffering of these children themselves. In the Netherlands, these children are part of the group for whom a wide range of end-of-life decisions are discussed, and questions raised. What does the end-of-life for these children look like, and what (...) motivates physicians and parents to make decisions that may affect the life and death of these children? This article highlights the story of the parents of the sisters Roos and Noor. When both their daughters were diagnosed with a hereditary brain tumor, they had to make similar decisions twice. Their story sheds light on the suffering of children in the terminal phase, and how this suffering may motivate parents and physicians to make decisions that influence the end of life of these children’s lives.We argue that complete knowledge about suffering in the terminal phase of children with brain tumors is impossible. However, by collecting experiences like those of Roos and Noor, we can move toward an experienced-based understanding and better guide parents and physicians through these hardest of decisions. (shrink)

Brain tumor classification plays a niche role in medical prognosis and effective treatment process. We have proposed a combined feature and image-based classifier for brain tumor image classification in this study. Carious deep neural network and deep convolutional neural networks -based architectures are proposed for image classification, namely, actual image feature-based classifier, segmented image feature-based classifier, actual and segmented image feature-based classifier, actual image-based classifier, segmented image-based classifier, actual and segmented image-based classifier, and finally, CFIC. The Kaggle (...) class='Hi'>Brain Tumor Detection 2020 dataset has been used to train and test the proposed classifiers. Among the various classifiers proposed, the CFIC performs better than all other proposed methods. The proposed CFIC method gives significantly better results in terms of sensitivity, specificity, and accuracy with 98.86, 97.14, and 98.97%, respectively, compared with the existing classification methods. (shrink)

In Patricia Churchland's 2006 essay on free will, she cites the case of a middle-aged man who, without any prior history of misbehavior, suddenly became obsessed with child pornography and started to molest his 8-year-old stepdaughter. He was subsequently discovered to have a brain tumor affecting the frontal lobes, and when it is successfully treated his aberrant behavior stopped.Thomas Szasz is famous for his denunciation of the concept of mental illness, and his critique is partly responsible for instigating an (...) enduring philosophical discourse about the nature of mental disorder. Szasz's key insight was the recognition that we find it important to distinguish between situations that are characterized by... (shrink)

Two experiments tested the hypothesis that neurological abnormalities decrease punishment by decreasing perceptions of free will. Experiment 1 found that a brain tumor decreased punishment for criminal behavior by decreasing perceptions of the afflicted criminal’s free will. This effect was stronger for liberal and non-religious participants than for conservative and religious participants. Experiment 2 replicated Experiment 1 and additionally found that a brain tumor decreased perceptions of the afflicted criminal’s conscious decisions and true self, thereby decreasing perceptions of (...) his free will, thereby decreasing his punishment. Collectively, these results suggest that neurological abnormalities decrease punishment by decreasing perceptions of free will, especially among liberals and non-religious people. These results also suggest that neurological abnormalities decrease perceptions of free will – and ultimately decrease punishment – by decreasing perceptions of conscious decisions and the true self. (shrink)

Neuroimaging is critical in the diagnosis and treatment of brain cancers; however, the first detection of tumors is a challenge. Detection techniques like image segmentation are heavily reliant on the segmented image’s resolution. Magnetic resonance imaging tumor segmentation has emerged as a new study area in the medical imaging field. This spongy and delicate mass of tissue is the brain. Stable conditions allow for patterns to enter and interact with each other. To put it simply, a tumor (...) is a mass of tissue that has grown unchecked by the natural mechanisms that keep it under control. When cells divide uncontrollably, they create a cancerous tumor. Brain tumors can be detected and segmented using a variety of methods. A new method for detecting brain tumors using MRI images is presented in this research. An innovative Woelfel filter is used for enhancement, and morphological segmentation approaches combined with anisotropic diffusion are used for segmentation. Segmentation of brain tumors can be accomplished using thresholding and morphological techniques, which are both effective. The tumor will be located and identified using morphological image processing. Image denoising refers to the process of removing artefacts such as noise and aliasing from digital images. Here MATLAB programming language is utilised as it incorporates all the toolboxes required for the application involved in the work. (shrink)

This narrative symposium brings to light the extreme difficulties faced by parents of children diagnosed with brain tumors. NIB editorial staff and narrative symposium editors, Gigi McMillan and Christy A. Rentmeester, developed a call for stories that was distributed on several list serves and posted on Narrative Inquiry in Bioethics’ website. The call asks parents to share their personal experience of diagnosis, treatment, long–term effects of treatment, social issues and the doctor–patient–parent dynamic that develops during this process. Thirteen (...) stories are found in the print version of the journal and an additional six supplemental stories are published online only through Project MUSE. One change readers may notice is that the story authors are not listed in alphabetical order. The symposium editors had a vision for this issue that included leading readers through the timeline of this topic: diagnosis–treatment–acute recovery–recurrence–treatment (again)– acute recovery (again)– long-term quality of life– (possibly) end of life. Stories are arranged to help lead the reader through this timeline. Gigi McMillan is a patient and research subject advocate, co-founder of We Can, Pediatric Brain Tumor Network, as well as, the mother of a child who suffered from a pediatric brain tumor. She also authored the introduction for this symposium. Christy Rentmeester is an Associate Professor of Health Policy and Ethics in the Creighton University School of Medicine. She served as a commentator for this issue. Other commentators for this issue are Michael Barraza, a clinical psychologist and board member of We Can, Pediatric Brain Tumor Network ; Lisa Stern, a pediatrician who has diagnosed six children with brain tumors in her 20 years of practice; and Katie Rose, a pediatric brain tumor patient who shares her special insights about this world. (shrink)

Researchers have documented negative physical and emotional consequences for both family caregivers of persons with cancer as well as caregivers of persons with a neurologic disorder. However, there is a unique subset of caregivers who must provide care for someone who may suffer from both a short, terminal trajectory of disease, as well as neurological and neuropsychiatric sequelae — the caregiver of a person with a primary malignant brain tumor. The purpose of this article was to describe a conceptual (...) framework for providing care for a person with a primary malignant brain tumor. The demands of this particular care situation are described, as well as potential resources available to the caregiver to meet those demands. Finally, the stress response that results from the balance between care demands and caregiver resources is illustrated. Development of a conceptual framework for this caregiving population is the first step in assisting nurses to identify factors that place caregivers of persons with a primary malignant brain tumor at risk for negative consequences, and to design interventions to improve caregiver health. (shrink)

Balancing self‐renewal and differentiation of stem cells is an important issue in stem cell and cancer biology. Recently, the Drosophila neuroblast (NB), neural stem cell has emerged as an excellent model for stem cell self‐renewal and tumorigenesis. It is of great interest to understand how defects in the asymmetric division of neural stem cells lead to tumor formation. Here, we review recent advances in asymmetric division and the self‐renewal control of Drosophila NBs. We summarize molecular mechanisms of asymmetric cell division (...) and discuss how the defects in asymmetric division lead to tumor formation. Gain‐of‐function or loss‐of‐function of various proteins in the asymmetric machinery can drive NB overgrowth and tumor formation. These proteins control either the asymmetric protein localization or mitotic spindle orientation of NBs. We also discuss other mechanisms of brain tumor suppression that are beyond the control of asymmetric division. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:A Bittersweet Score:A Father’s Account of His Family’s 20-Year Journey After a Pediatric Brain Tumor DiagnosisChristopher RileyI hadn’t seen him for 20 years, not since the day he drilled a hole in Peter’s head and left the stainless steel drill and bloody bit on the bedside table. He figured prominently in the story I often told of that day when he, a doctor in training, [End Page 3] (...) informed my wife Kathy and me that, “Wow,” our five-year-old son had “an impressive tumor” in his brain. He announced it with the admiration I reserve for a touchdown pass or stunning sunset. Since that day, he had become a venerable physician. Back then he was the resident who met us in the ER after our pediatrician told us that the MRI of Peter’s brain was “not normal,” that “there might be a growth.” As if there might not be. I imagined that Peter’s brain might simply have an unusual shape, or that the scan revealed some undiscovered fracture and the authorities only wanted to lock me up and all with my son would be well. The thrilled young doctor slew those hopes with an ice pick: “Wow, that’s an impressive tumor.” I said, “That’s the first time anyone has used the word tumor.” The doctor appeared mortified and started over.Now 20 years later we found ourselves at the same party and I felt a compulsion to introduce myself, remind him we’d met that day in 1993, and tell him what had become of Peter and his family in the decades since he’d made that mortifying mistake, one I hoped had become for him a defining moment. To my disappointment, he didn’t seem to remember.Peter was my red-haired boy. Fearless and whip smart, he told a stream of knock-knock jokes and performed dance routines choreographed by his 8-year-old sister Rachel. Six months of headaches, vomiting and clumsy falls led to discovery of the tumor. When I phoned my parents with the news, I couldn’t speak the words, words that felt as if they spelled my boy’s doom. My body refused to pronounce them.The war for Peter’s life began with surgery. I sat with Kathy in the surgical waiting area, fearing every minute that I would see the surgeon approaching with his shoulders slumped in mortal defeat. I learned during those hours that fear of your child’s death is a physical pain, a constriction in the chest, a suffocation. At the end of that wait, the surgeon told us the tumor was out and Peter had survived. The pathology indicated the tumor was a medulloblastoma. Without additional treatment, including radiation, it was certain to come back. Kathy’s knees buckled. Having just endured one life-and-death battle, we were plunged into another. To complicate matters, Peter wasn’t waking from surgery. Even after the anesthesia wore off, Peter remained groggy, unable to move or focus his eyes.Through the following days, Peter failed to rouse or speak. Sores formed at the back of his neck where his unswallowed saliva pooled. Neurologists doubted he knew us. His doctors hoped Peter would recover but it was possible he would remain as he was indefinitely. As I sat holding his useless hand, watching his useless body, I thought I’d never loved him as much as I did now.Peter’s doctors presented two treatment options. The first consisted of relatively high doses of daily radiation, the most effective known method for preventing the return of the cancer. But radiation wasn’t good for young brains. It “shaved IQ points,” they said in wild understatement. So they offered a second, experimental option, one that reduced radiation by a third and added months of chemotherapy. The doctors hoped this new regimen would be as effective as the old but cause less cognitive damage. They asked us to choose. It seemed impossible. We gathered the scant available data. We weighed the risks. We prayed. We took a leap. Without asking him, we made a decision for Peter we knew... (shrink)

Gene therapy approaches have great promise in the treatment of neurodegenerative disorders and malignant brain tumors. Neuwelt et al. review available viral-mediated gene therapy methods and their blood-brain-barrier (BBB) disruption delivery technique, briefly mentioning nonviral mediated gene therapy methods. This commentary discussed the BBB disruption delivery technique, viral and nonviral mediated gene therapy approaches to Parkinson's disease, and the potential use of antisense oligo to suppress malignant brain tumors.

New targets for brain tumor therapies may be identified by mutations that cause hereditary microcephaly. Brain growth depends on the repeated proliferation of stem and progenitor cells. Microcephaly syndromes result from mutations that specifically impair the ability of brain progenitor or stem cells to proliferate, by inducing either premature differentiation or apoptosis. Brain tumors that derive from brain progenitor or stem cells may share many of the specific requirements of their cells of origin. These (...) tumors may therefore be susceptible to disruptions of the protein products of genes that are mutated in microcephaly. The potential for the products of microcephaly genes to be therapeutic targets in brain tumors are highlighted hereby reviewing research on EG5, KIF14, ASPM, CDK6, and ATR. Treatments that disrupt these proteins may open new avenues for brain tumor therapy that have increased efficacy and decreased toxicity. -/- . (shrink)

This issue of Narrative Inquiry in Bioethics explores the concerns and point of view of parents who have had to confront the devastating diagnosis of a pediatric brain tumor. This commentary, written by a general pediatrician, is a synthesis of several narrative themes which touch on a range of topics from relapse to long-term sequelae and other issues that effect a growing population of pediatric brain tumor patients. It offers a glimpse into the problems that need to be (...) addressed by health professionals, educators and support teams who provide short and long term care to these patients and their families. (shrink)

In the case of magnetic resonance imaging (MRI) imaging, image processing is crucial. In the medical industry, MRI images are commonly used to analyze and diagnose tumor growth in the body. A number of successful brain tumor identification and classification procedures have been developed by various experts. Existing approaches face a number of obstacles, including detection time, accuracy, and tumor size. Early detection of brain tumors improves options for treatment and patient survival rates. Manually segmenting brain (...) tumors from a significant number of MRI data for brain tumor diagnosis is a tough and time-consuming task. Automatic image segmentation of brain tumors is required. The objective of this study is to evaluate the degree of accuracy and simplify the medical picture segmentation procedure used to identify the type of brain tumor from MRI results. Additionally, this work suggests a novel method for identifying brain malignancies utilizing the Bagging Ensemble with K-Nearest Neighbor (BKNN) in order to raise the KNN’s accuracy and quality rate. For image segmentation, a U-Net architecture is utilized first, followed by a bagging-based k-NN prediction algorithm for classification. The goal of employing U-Net is to improve the accuracy and uniformity of parameter distribution in the layers. Each decision tree is fitted on a little different training dataset during classification, and the bagged decision trees are effective since each tree has minor differences and generates slightly different skilled predictions. The overall classification accuracy was up to 97.7 percent, confirming the efficiency of the suggested strategy for distinguishing normal and pathological tissues from brain MR images; this is greater than the methods that are already in use. (shrink)

Objective: To investigate the differences between patients returning to work and those who did not after brain tumor surgery.Methods: Patients were evaluated before surgery and after 3 months. The Montreal Cognitive Assessment test, Trail-Making Test, 15-word Rey–Osterrieth Word List, F-A-S tests, and Karnosfky Performance Status were used to assess cognitive status, attention, executive functions, memory, word fluency, and functional status. Patient-reported outcome measures used to evaluate emotional distress and disability were the Hospital Anxiety and Depression Scale and World Health (...) Organization Disability Assessment Schedule. Clinical and work-related variables, PROMs, and cognitive tests were compared using chi-squared, t-test or Mann–Whitney U test.Results: Sixty patients were included. Patients returning to work were 61.3 and 31.0% among people with meningioma and glioma, respectively. They reported lower postoperative disability and lesser home-to-work travel time. Patients with meningioma also showed better preoperative and postoperative attention and executive functions, better postoperative functional and cognitive status, and lower frequency of treatments.Conclusions: These variables should be considered in a clinical context to plan interventions for people who need support during return to work and in future research to investigate preoperative and postoperative predictive factors of going back to work. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Road to Understanding and Acceptance of the Late Effects of Pediatric Brain Tumors and TreatmentJeanne CarlsonWe had little warning or time to adjust to our daughter’s diagnosis. A call from her third grade teacher reporting that Sarah seemed to be having vision problems rapidly led to eye exams, an MRI, and the discovery of a Germinoma brain tumor in the suprastellar region of Sarah’s (...) class='Hi'>brain. We were terrified but began treatment feeling optimistic about the outlook for Sarah’s recovery. Luckily, Sarah’s treatment was relatively non–invasive and quick, chemotherapy and radiation, five months start to finish. We were thrilled to have Sarah’s treatment behind us.As any parent of a child with a life–threatening illness knows, family life is seriously disrupted by the countless doctor, lab, and hospital visits, the worry, and the financial strain that are suddenly added to the demands of everyday life. We did our best to balance our focus on both of our children as Sarah is a twin and we didn’t want her brother Will to suffer as a result of his sister’s illness. It wasn’t easy but we found a way to schedule Will’s usual play dates, baseball practice, and family time. We were all happy and relieved when Sarah’s treatment was completed, yet we would later learn that we had been incredibly naïve in two ways; we thought that our brain tumor journey was over after Sarah’s treatment was completed and we thought that we’d brought Will through the process without effect. We had a lot to learn.At the time of diagnosis we knew that Sarah’s memory and ability to express emotion had already been impacted by the tumor but we didn’t yet know what that would mean to her quality of life. We were virtually unaware however that at age nine the chemotherapy and radiation treatments that Sarah received would result in profound late effects. Following treatment Sarah successfully completed 3rd grade and even received excellent STAR test scores (California state standardized tests). In 4th grade however, Sarah’s performance began to diverge from that of her peers and she found herself struggling in school and unable to make friends. We began looking for ways to help our daughter.What followed was a five year long journey through testing, evaluations, individualized education plans (IEPs), and therapies, which, in the end, left our family needing to accept the fact that although Sarah remains intelligent and artistically talented, she suffers from a constellation of late effects that will always affect her ability to function in the world. As a result of Sarah’s tumor and treatment she struggles with Auditory Processing Disorder, word finding problems, poor executive function, inability to recognize how she feels, significant difficulty making decisions, inability to read social cues, poor memory, slow processing, an emotional age of about nine, and lots of anxiety. She is also panhypopituitary, meaning that she has no remaining pituitary function and must take replacement medications by pill and injection, has hypothalamic obesity (HO), which is primarily controlled by more medication, and Raynaud’s Disease. The HO is an ongoing challenge because if Sarah does gain weight she can’t lose it again and exercise is not an easy solution because, like many pediatric brain tumor survivors, Sarah is easily fatigued. Finally, although Sarah’s vision improved after treatment her vision loss is significant enough to prevent her from driving. We pieced together this understanding of Sarah’s challenges and disabilities slowly so it wasn’t until the end of our children’s middle school years that we finally accepted the magnitude of the damage caused by the tumor and treatment. Thereafter we changed our focus from what Sarah might achieve in life to how to support [End Page 21] her in the activities at which she still excels and how to keep her active, interested in life, and feeling good about herself.It would have been a huge gift if we had been provided with information about the possible late effects that can result from treating the brain of a 9–year–old... (shrink)

Gliomas are diffuse and invasive brain tumors with the nefarious ability to evade even seemingly draconian treatment measures. Here we introduce a simple mathematical model for drug delivery of chemotherapeutic agents to treat such a tumor. The model predicts that heterogeneity in drug delivery related to variability in vascular density throughout the brain results in an apparent tumor reduction based on imaging studies despite continual spread beyond the resolution of the imaging modality. We discuss a clinical example (...) for which the model-predicted scenario is relevant. The analysis and results suggest an explanation for the clinical problem of the long-standing confounding observation of shrinkage of the lesion in certain areas of the brain with continued growth in other areas. (shrink)

ObjectiveHopelessness and depression are strongly associated with suicidality. Given that physical and psychological outcomes can be altered with hope, hope is a therapeutic goal of increasing importance in the treatment of brain tumor patients. Moreover, it is not yet understood which factors affect the perception of hope in brain tumor patients. In addition, it remains uncertain whether lower-grade brain tumor patients suffer less from psycho-oncological distress than higher-grade brain tumor patients.MethodsNeuro-oncological patients were examined perioperatively with the (...) Distress Thermometer and the Herth Hope Index. In addition, psychological comorbidities and an assessment of general psycho-oncological distress were recorded.ResultsSixty-six brain tumor patients were included. No differences between higher- and lower-grade brain tumor patients were observed for general psycho-oncological distress and hope. However, higher-grade brain tumor patients showed a significantly higher level of depression and more negative expectations regarding therapeutic success. The extent of depression correlated negatively with hope.ConclusionUnexpectedly, higher-grade brain tumor patients remained as hopeful as lower-grade brain tumor patients despite the devastating diagnosis, higher levels of depression, and a worse expectation of therapeutic success. Conversely, lower-grade brain tumor patients experience as much psycho-oncological distress as patients with a higher-grade brain tumor, underpinning the imperative need for comprehensive psycho-oncological screening. For all brain tumor patients, considering hope is important to avoid suicides resulting from hopelessness and depression. (shrink)

Survivors of childhood brain tumors face many obstacles to living independently as adults. Causes for lack of independence are multifactorial and generally are investigated in terms of physical, cognitive, and psychosocial treatment–related sequelae. Little is known, however, about the role of expectation for survivors’ function. From a mixed–methods study including qualitative interviews and quantitative measures from 40 caregiver–survivor dyads, we compared the data within and across dyads, identifying four distinct narrative profiles: (A) convergent expectations about an optimistic future, (...) (B) convergent expectations about a less optimistic future, (C) non–convergent expectations about a less optimistic future, and (D) non–convergent expectations about an unclear future. Dyads both do well and/or struggle in systematically different manners in each profile. These profiles may inform the design of interventions to be tested in future research and help clinicians to assist families in defining, (re–)negotiating, and reaching their expectations of function and independence. (shrink)

PurposeAlthough an increasing body of literature suggests a relationship between brain irradiation and deterioration of neurocognitive function, it remains as the standard therapeutic and prophylactic modality in patients with brain tumors. This review was aimed to abstract and evaluate the prediction models for radiation-induced neurocognitive decline in patients with primary or secondary brain tumors.MethodsMEDLINE was searched on October 31, 2021 for publications containing relevant truncation and MeSH terms related to “radiotherapy,” “brain,” “prediction model,” and (...) “neurocognitive impairments.” Risk of bias was assessed using the Prediction model Risk Of Bias ASsessment Tool.ResultsOf 3,580 studies reviewed, 23 prediction models were identified. Age, tumor location, education level, baseline neurocognitive score, and radiation dose to the hippocampus were the most common predictors in the models. The Hopkins verbal learning and the trail making tests were the most frequent outcome assessment tools. All studies used regression as machine learning method. All models were judged to have a high risk of bias mainly due to issues in the analysis.ConclusionExisting models have limited quality and are at high risk of bias. Following recommendations are outlined in this review to improve future models: developing cognitive assessment instruments taking into account the peculiar traits of the different brain tumors and radiation modalities; adherence to model development and validation guidelines; careful choice of candidate predictors according to the literature and domain expert consensus; and considering radiation dose to brain substructures as they can provide important information on specific neurocognitive impairments. (shrink)

Background: Maximum safe resection of infiltrative brain tumors in eloquent area is the primary objective in surgical neuro-oncology. This goal can be achieved with direct electrical stimulation to perform a functional mapping of the brain in patients awake intraoperatively. When awake surgery is not possible, we propose a pipeline procedure that combines advanced techniques aiming at performing a dissection that respects the anatomo-functional connectivity of the peritumoral region. This procedure can benefit from intraoperative monitoring with computerized tomography (...) scan and brain shift correction. Associated with this intraoperative monitoring, the additional value of preoperative investigation combining brain mapping by navigated transcranial magnetic stimulation with various neuroimaging modalities has not yet been reported.Case Report: A 42-year-old left-handed man had increased intracranial pressure, left hand muscle deficit, and dysarthria, related to an infiltrative tumor of the right frontal lobe with large mass effect and circumscribed contrast enhancement in motor and premotor cortical areas. Spectroscopy profile and intratumoral calcifications on CT-scan suggested an WHO grade III glioma, later confirmed by histology. The aforementioned surgical procedure was considered, since standard awake surgery was not appropriate for this patient. In preoperative time, nTMS mapping of motor function was performed, combined with magnetic resonance imaging -based tractography reconstruction of 6 neural tracts and resting-state functional MRI connectivity of sensorimotor and language networks. In intraoperative time, DES mapping was performed with motor evoked response recording and tumor resection was optimized using non-rigid image transformation of the preoperative data to iCT data. Image guidance was updated with correction for brain shift and tissue deformation using biomechanical modeling taking into account brain elastic properties. This correction was done at crucial surgical steps, i.e., when tumor bulged through the craniotomy after dura mater opening and when approaching the presumed eloquent brain regions. This procedure allowed a total resection of the tumor region with contrast enhancement as well as a complete regression of IICP and dysarthria. Hand paresis remained stable with no additional deficit. Postoperative nTMS mapping confirmed the good functional outcome.Conclusion: This case report and technical note highlights the value of preoperative functional evaluation by nTMS updated intraoperatively with correction of brain deformation by iCT. This multimodal approach may become the optimized technique of reference for patients with brain tumors in eloquent areas that are unsuitable for awake brain surgery. (shrink)

Background: The risk of surgery in eloquent areas is related to neuropsychological dysfunctions. Maximizing the extent of resection increases the overall survival. The onco-functional balance is mandatory when surgery involves cognitive areas, and maximal information on the cognitive status of patients during awake surgery is needed. This can be achieved using direct cortical stimulation mapping and, in addition to this, a neuropsychological monitoring technique called real-time neuropsychological testing. The RTNT includes testing protocols based on the area where the surgery is (...) performed. We reported on tests used for left temporal lobe surgery and our RTNT decision tree.Case Report: We reported our RTNT experience with a 25-year-old right-handed man with 13 years of schooling. He reported daily partial seizures. MRI revealed the presence of a low-grade glioma involving the temporo-insular cortex. The neuropsychological status presurgery which was within the normal range was combined with functional magnetic resonance imaging and diffusion tensor imaging information. Awake surgery plus RTNT was performed. Direct electrical stimulation during object naming elicited a motor speech arrest. Resection was continuously accompanied by the RTNT. The RTNT provided enriched information to the surgeon. Performance never dropped. A slight decrement in accuracy emerged for pseudoword repetition, short-term memory and working memory, phonological processing, and verbal comprehension. Total resection was performed, and the histological examination confirmed the nature of the lesion. Immediate postsurgery performance was within the normal range as it was the fMRI and DTI assessment.Conclusion: The RTNT provides essential information that can be used online, during surgery, for clinical aims to provide the surgeon with useful feedback on the cognitive status of patients. (shrink)

Preoperative diagnosis of gastric cancer and primary gastric lymphoma is challenging and has important clinical significance. Inspired by the inductive reasoning learning of the human brain, transfer learning can improve diagnosis performance of target task by utilizing the knowledge learned from the other domains (source domain). However, most studies focus on single-source transfer learning and may lead to model performance degradation when a large domain shift exists between the single-source domain and target domain. By simulating the multi-modal information learning (...) and transfer mechanism of human brain, this study designed a multisource transfer learning feature extraction and classification framework, which can enhance the prediction performance of the target model by using multisource medical data (domain). First, this manuscript designs a feature extraction network that takes the maximum mean difference based on the Wasserstein distance as an adaptive measure of probability distribution and extracts the domain-specific invariant representations between source and target domain data. Then, aiming at the random generation of parameters bringing uncertainties to prediction accuracy and generalization ability of extreme learning machine network, the 1-norm regularization is used to implement sparse constraints of the output weight matrix and improve the robustness of the model. Finally, some experiments are carried out on the data of two medical centers. The experimental results show that the area under curves (AUCs) of the method are 0.958 and 0.929 in the two validation cohorts, respectively. The method in this manuscript can provide doctors with a better diagnostic reference, which has certain practical significance. (shrink)

In this paper an Artificial Neural Network (ANN) model, for predicting the category of a tumor was developed and tested. Taking patients’ tests, a number of information gained that influence the classification of the tumor. Such information as age, sex, histologic-type, degree-of-diffe, status of bone, bone-marrow, lung, pleura, peritoneum, liver, brain, skin, neck, supraclavicular, axillar, mediastinum, and abdominal. They were used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was established and trained (...) using data set which its title is “primary tumor” and was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia Test data evaluation shows that the ANN model is able to correctly predict the tumor category with 76.67 % accuracy. (shrink)

High-resolution neuroimaging modalities are used often in studies involving healthy volunteers. Subsequently, a significant increase in the incidental discovery of asymptomatic intracranial abnormalities raised the important ethical issues of when follow-up and treatment may be necessary. We examined the literature to establish a practical set of criteria for approaching incidental findings. Our objective is to develop an algorithm for when follow-up may be important and to provide recommendations that would increase the likelihood of follow-up. A systematic literature search was performed (...) using the PubMed and MEDLINE databases to identify articles describing brain tumors and intracranial aneurysms. The treatment algorithm we present suggests that incidental intracranial masses suspicious for glioma should be biopsied or resected, while other masses are to be followed with serial imaging based on the expected growth pattern. Lack of follow-up can result in adverse outcomes that can be mitigated by using technology to facilitate communication and improve follow-up care. The importance of training physicians to be good communicators is also stressed. New technology including automated telephone systems, texting and email will improve access to patients and hopefully encourage compliance and follow-up. (shrink)

The aim of this article is to show how a tumor can modify energy substrates fluxes in the brain to support its own growth. To address this question we use a modeling approach to explain brain nutrient kinetics. In particular we set up a system of 17 equations for oxygen, lactate, glucose concentrations and cells number in the brain. We prove the existence and uniqueness of nonnegative solutions and give bounds on the solutions. We also provide numerical (...) simulations. (shrink)

Gliomas can display marked changes in the concentrations of energy metabolism molecules such as creatine (Cr), phosphocreatine (PCr) and lactate, as measured using magnetic resonance spectroscopy (MRS). Moreover, the BOLD (blood oxygen level dependent) contrast enhancement in functional magnetic resonance imaging (fMRI) can be reduced or missing within or near gliomas, while neural activity is not significantly reduced (so-called neurovascular decoupling), so that the location of functionally eloquent areas using fMRI can be erroneous. In this paper, we adapt a previously (...) developed model of the coupling between neural activation, energy metabolism and hemodynamics, by including the venous dilatation Balloon model of Buxton and Frank. We show that decreasing the cerebral blood flow (CBF) baseline value, or the CBF increase fraction, results in a decrease of the BOLD signal and an increase of the lactate peak during a sustained activation. Baseline lactate and PCr levels are not significantly affected by CBF baseline reduction, but are altered even by a moderate decrease of mitochondrial respiration. Decreasing the total Cr and PCr concentration reduces the BOLD signal after the initial overshoot. In conclusion, we suggest that the coupled use of BOLD fMRI and MRS could contribute to a better understanding of the neurovascular and metabolic decoupling in gliomas. (shrink)

Considerable progress has been made toward understanding the involvement of recoverin in a cancer-associated retinopathy (CAR) that results in blindness. We describe the expression of recoverin in tumors of individuals afflicted with CAR, characterize the immunological response towards recoverin in these patients, and demonstrate how the disease can be induced in rodents using recoverin as an immunogen.

The ability to image the human brain has provided a new perspective for neuropsychologists in their efforts to understand, diagnose, and treat insults to the human brain that might occur as the result of stroke, tumor, traumatic injury, degenerative disease, or errors in development. These new ®ndings are the major theme of this special issue. In our article, we consider brain networks that carry out the functions of attention. We outline several such networks that have been studied (...) in normal and pathological states. These include networks for orienting to sensory stimuli, for maintaining the alert state, and for orchestrating volitional control. (shrink)

The size and organization of the brain are determined by the activity of progenitor cells early in development. Key mechanisms regulating progenitor cell biology involve miRNAs. These small noncoding RNA molecules bind mRNAs with high specificity, controlling their abundance and expression. The role of miRNAs in brain development has been studied extensively, but their involvement at early stages remained unknown until recently. Here, recent findings showing the important role of miRNAs in the earliest phases of brain development (...) are reviewed, and it is discussed how loss of specific miRNAs leads to pathological conditions, particularly adult and pediatric brain tumors. Let‐7 miRNA downregulation and the initiation of embryonal tumors with multilayered rosettes (ETMR), a novel link recently discovered by the laboratory, are focused upon. Finally, it is discussed how miRNAs may be used for the diagnosis and therapeutic treatment of pediatric brain tumors, with the hope of improving the prognosis of these devastating diseases. (shrink)

A brain tumor is an abnormal mass or growth of a cell that leads to certain death, and this is still a challenging task in clinical practice. Early and correct diagnosis of this type of cancer is very important for the treatment process. For this reason, this study aimed to develop computer-aided systems for the diagnosis of brain tumors. In this research, we proposed three different end-to-end deep learning approaches for analyzing effects of local and deep features (...) for brain MRI images anomaly detection. The first proposed system is Directional Bit-Planes Deep Autoencoder which extracts and learns local and direction features. The DBP-DAE by decomposition of a local binary pattern into eight bit-planes extracts are directional and inherent local-structure features from the input image and learns robust feature for classification purposes. The second one is a Dilated Separable Residual Convolutional Network which extracts high and low-level features. The main advantage of this approach is that it is robust and shows stable results regardless to size of image database and to solve overfitting problems. To explore the effects of mixture of local and deep extracted feature on accuracy of classification of brain anomaly, a multibranch convolutional neural network approach is proposed. This approach is designed according to combination of DBP-DAE and DSRCN in an end-to-end manner. Extensive experiments conducted based on brain tumor in MRI image public access databases and achieves significant results compared to state-of-the-art algorithms. In addition, we discussed the effectiveness and applicability of CNNs with a variety of different features and architectures for brain abnormalities such as Alzheimer’s. (shrink)

Mutations in growth factor receptor signaling pathways are common in cancer cells, including the highly lethal brain tumor glioblastoma (GBM) where they drive tumor growth through mechanisms including altering the uptake and utilization of nutrients. However, the impact of changes in micro‐environmental nutrient levels on oncogenic signaling, tumor growth, and drug resistance is not well understood. We recently tested the hypothesis that external nutrients promote GBM growth and treatment resistance by maintaining the activity of mechanistic target of rapamycin complex (...) 2 (mTORC2), a critical intermediate of growth factor receptor signaling, suggesting that altered cellular metabolism is not only a consequence of oncogenic signaling, but also potentially an important determinant of its activity. Here, we describe the studies that corroborate the hypothesis and propose others that derive from them. Notably, this line of reasoning raises the possibility that systemic metabolism may contribute to responsiveness to targeted cancer therapies. (shrink)

Anthropology of Consciousness, EarlyView.

This study discusses the mind-body problem, arguing that the human person is best understood as an animal who is also spirit. Braine suggests that human beings should be described holistically, in the tradition of Aristotle and Thomas Aquinas. His final chapter explores a doctrine of immortality.

Robert Brain traces the origins of artistic modernism to specific technologies of perception developed in late-nineteenth-century laboratories. Brain argues that the thriving fin-de-siècle field of “physiological aesthetics,” which sought physiological explanations for the capacity to appreciate beauty and art, changed the way poets, artists, and musicians worked and brought a dramatic transformation to the idea of art itself.