First-Person Perspective of Alice in Wonderland Like Visual Perceptions Presented Primary as Microsomatognosia as Leading Symptom of a 24 Years-Old Student From Chile

2021 ◽  
Author(s):  
Stefan Bittmann
Keyword(s):  
Ischemic Stroke ◽  
Visual Perception ◽  
Brain Tumors ◽  
Psychotropic Drugs ◽  
Temporoparietal Junction ◽  
Person Perspective ◽  
Alice In Wonderland ◽  
First Person Perspective ◽  
Leading Symptom ◽  
The Brain

AIWS is a disorientating form of seizures that affect in peculiar visual perception. AIWS is a neurological form of seizures that can affect the brain, especially the temporoparietal junction and visual pathways leading to impaired and bizarre visual perceptions. The origin of AIWS is yet not known exactly. Cases of migraines, brain tumors, depression episodes, epilepsy, delirium, psychotropic drugs, ischemic stroke, EBV, mycoplasma and malaria infections correlate like seizures with AIWS are published before.

scholarly journals Alice in Wonderland: The effects of body size and movement on children’s size perception and bodily awareness in virtual reality

2020 ◽  
Author(s):  
Samantha Keenaghan ◽  
Marie Polaskova ◽  
Simon Thurlbeck ◽  
Robert W. Kentridge ◽  
Dorothy Cowie
Keyword(s):  
Virtual Reality ◽  
Body Size ◽  
Size Perception ◽  
First Person ◽  
Bodily Awareness ◽  
Person Perspective ◽  
Alice In Wonderland ◽  
Adults And Children ◽  
First Person Perspective ◽  
Virtual Avatar

In adults, illusory embodiment of a virtual avatar can be induced using synchronous visuomotor cues. Further, embodying different-sized avatars influences adults’ perception of their environment’s size. This study (N=92) investigated whether children are also susceptible to such embodiment and size illusions. Adults and 5-year-olds viewed a first-person perspective of different-sized avatars, moving either synchronously or asynchronously with themselves. Participants rated their feelings of embodiment over the avatar, as well as estimating the sizes of their environment and body. Unlike adults, children embodied the avatar regardless of visuomotor synchrony. Both adults and children embodied different-sized avatars, affecting their perception of the size of their environment. These findings have important implications for our understanding of children’s bodily awareness and size perception.

Alice in Wonderland Syndrome: An Update of Present Data With A Special View to Body Position, Traumatic and Genetic Aspects

2020 ◽  
Author(s):  
Stefan Bittmann
Keyword(s):  
Depressive Disorders ◽  
Parietal Lobe ◽  
Body Position ◽  
Occipital Lobe ◽  
Brain Regions ◽  
Lewis Carroll ◽  
Temporoparietal Junction ◽  
Alice In Wonderland ◽  
First Time ◽  
The Brain

Alice in Wonderland Syndrome (AIWS) was named after the description of Lewis Carroll in his novel. In 1955, John Todd, a psychiatrist described this entity for the first time and results in a distortion of perception. Todd described it as „Alice's Adventures in Wonderland“ by Lewis Carroll. The author Carroll suffered from severe migraine attacks. Alice in Wonderland Syndrome is a disorienting condition of seizures affecting visual perception. AIWS is a neurological form of seizures influencing the brain, thereby causing a disturbed perception. Patients describe visual, auditory, and tactile hallucinations and disturbed perceptions. The causes of AIWS are still not known exactly. Cases of migraine, brain tumors, depression episodes, epilepsy, delirium, psychoactive drugs, ischemic stroke, depressive disorders, and EBV, mycoplasma, and malaria infections are correlating with AIWS like seizures. Often no EEG correlate is found. Neuroimaging studies reveal disturbances of brain regions including the temporoparietal junction, the temporal and occipital lobe as typical localization of the visual pathway. A decrease of perfusion of the visual pathways could induce these disturbances, especially in the temporal lobe in patients with AIWS. Other theories suggest distorted body illusions stem from the parietal lobe. The concrete origin of this mysterious syndrome is to date not clearly defined.

Characterization of Ischemic Stroke in CT Images using Image Processing

2017 ◽  
Vol 7 (9) ◽  
pp. 18
Author(s):  
Amal Alzain ◽  
Suhaib Alameen ◽  
Rani Elmaki ◽  
Mohamed E. M. Gar-Elnabi
Keyword(s):  
Ischemic Stroke ◽  
White Matter ◽  
Classification Accuracy ◽  
Ct Images ◽  
Gray Level ◽  
Level Variation ◽  
Interactive Data ◽  
The Brain ◽  
Brain Tissues

This study concern to characterize the brain tissues to ischemic stroke, gray matter, white matter and CSF using texture analysisto extract classification features from CT images. The First Order Statistic techniques included sevenfeatures. To find the gray level variation in CT images it complements the FOS features extracted from CT images withgray level in pixels and estimate the variation of thesubpatterns. analyzing the image with Interactive Data Language IDL software to measure the grey level of images. The results show that the Gray Level variation and   features give classification accuracy of ischemic stroke 97.6%, gray matter95.2%, white matter 97.3% and the CSF classification accuracy 98.0%. The overall classification accuracy of brain tissues 97.0%.These relationships are stored in a Texture Dictionary that can be later used to automatically annotate new CT images with the appropriate brain tissues names.

Brain Tumor Detection via Asymmetry Quantification across Mid Sagittal Plane

2020 ◽  
Vol 13 ◽  
Author(s):  
Shoaib Amin Banday ◽  
Mohammad Khalid Pandit
Keyword(s):  
Brain Tumor ◽  
Brain Tumors ◽  
Sagittal Plane ◽  
Early Stage ◽  
Imaging Techniques ◽  
Complex Structure ◽  
Magnetic Resonance Images ◽  
Absolute Difference ◽  
Brain Hemispheres ◽  
The Brain

Introduction: Brain tumor is among the major causes of morbidity and mortality rates worldwide. According to National Brain Tumor Foundation (NBTS), the death rate has nearly increased by as much as 300% over last couple of decades. Tumors can be categorized as benign (non-cancerous) and malignant (cancerous). The type of the brain tumor significantly depends on various factors like the site of its occurrence, its shape, the age of the subject etc. On the other hand, Computer Aided Detection (CAD) has been improving significantly in recent times. The concept, design and implementation of these systems ascend from fairly simple ones to computationally intense ones. For efficient and effective diagnosis and treatment plans in brain tumor studies, it is imperative that an abnormality is detected at an early stage as it provides a little more time for medical professionals to respond. The early detection of diseases has predominantly been possible because of medical imaging techniques developed from past many decades like CT, MRI, PET, SPECT, FMRI etc. The detection of brain tumors however, has always been a challenging task because of the complex structure of the brain, diverse tumor sizes and locations in the brain. Method: This paper proposes an algorithm that can detect the brain tumors in the presence of the Radio-Frequency (RF) inhomoginiety. The algorithm utilizes the Mid Sagittal Plane as a landmark point across which the asymmetry between the two brain hemispheres is estimated using various intensity and texture based parameters. Result: The results show the efficacy of the proposed method for the detection of the brain tumors with an acceptable detection rate. Conclusion: In this paper, we have calculated three textural features from the two hemispheres of the brain viz: Contrast (CON), Entropy (ENT) and Homogeneity (HOM) and three parameters viz: Root Mean Square Error (RMSE), Correlation Co-efficient (CC), and Integral of Absolute Difference (IAD) from the intensity distribution profiles of the two brain hemispheres to predict any presence of the pathology. First a Mid Sagittal Plane (MSP) is obtained on the Magnetic Resonance Images that virtually divides brain into two bilaterally symmetric hemispheres. The block wise texture asymmetry is estimated for these hemispheres using the above 6 parameters.

scholarly journals Beyond Oncological Hyperthermia: Physically Drivable Magnetic Nanobubbles as Novel Multipurpose Theranostic Carriers in the Central Nervous System

Molecules ◽  
2020 ◽  
Vol 25 (9) ◽  
pp. 2104 ◽  
Author(s):  
Eleonora Ficiarà ◽  
Shoeb Anwar Ansari ◽  
Monica Argenziano ◽  
Luigi Cangemi ◽  
Chiara Monge ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Brain Tumors ◽  
Ad Hoc ◽  
Superparamagnetic Iron Oxide ◽  
Conventional Radiotherapy ◽  
The Central Nervous System ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain

Magnetic Oxygen-Loaded Nanobubbles (MOLNBs), manufactured by adding Superparamagnetic Iron Oxide Nanoparticles (SPIONs) on the surface of polymeric nanobubbles, are investigated as theranostic carriers for delivering oxygen and chemotherapy to brain tumors. Physicochemical and cyto-toxicological properties and in vitro internalization by human brain microvascular endothelial cells as well as the motion of MOLNBs in a static magnetic field were investigated. MOLNBs are safe oxygen-loaded vectors able to overcome the brain membranes and drivable through the Central Nervous System (CNS) to deliver their cargoes to specific sites of interest. In addition, MOLNBs are monitorable either via Magnetic Resonance Imaging (MRI) or Ultrasound (US) sonography. MOLNBs can find application in targeting brain tumors since they can enhance conventional radiotherapy and deliver chemotherapy being driven by ad hoc tailored magnetic fields under MRI and/or US monitoring.

scholarly journals Laser interstitial thermotherapy (LITT) for the treatment of tumors of the brain and spine: a brief review

2021 ◽  
Vol 151 (3) ◽  
pp. 429-442
Author(s):  
Clark Chen ◽  
Ian Lee ◽  
Claudio Tatsui ◽  
Theresa Elder ◽  
Andrew E. Sloan
Keyword(s):  
Brain Tumors ◽  
Minimally Invasive ◽  
Radiation Necrosis ◽  
Spinal Metastasis ◽  
Clinical Approach ◽  
Invasive Treatment ◽  
Primary Indication ◽  
Interstitial Thermotherapy ◽  
The Brain

Abstract Introduction Laser Interstitial Thermotherapy (LITT; also known as Stereotactic Laser Ablation or SLA), is a minimally invasive treatment modality that has recently gained prominence in the treatment of malignant primary and metastatic brain tumors and radiation necrosis and studies for treatment of spinal metastasis has recently been reported. Methods Here we provide a brief literature review of the various contemporary uses for LITT and their reported outcomes. Results Historically, the primary indication for LITT has been for the treatment of recurrent glioblastoma (GBM). However, indications have continued to expand and now include gliomas of different grades, brain metastasis (BM), radiation necrosis (RN), other types of brain tumors as well as spine metastasis. LITT is emerging as a safe, reliable, minimally invasive clinical approach, particularly for deep seated, focal malignant brain tumors and radiation necrosis. The role of LITT for treatment of other types of tumors of the brain and for spine tumors appears to be evolving at a small number of centers. While the technology appears to be safe and increasingly utilized, there have been few prospective clinical trials and most published studies combine different pathologies in the same report. Conclusion Well-designed prospective trials will be required to firmly establish the role of LITT in the treatment of lesions of the brain and spine.

scholarly journals Differentiating Real-World Autobiographical Experiences without Recourse to Behaviour

2021 ◽  
Vol 11 (4) ◽  
pp. 521
Author(s):  
Jonathan Erez ◽  
Marie-Eve Gagnon ◽  
Adrian M. Owen
Keyword(s):  
Medial Temporal Lobe ◽  
Brain Injuries ◽  
Brain Activity ◽  
Extrastriate Cortex ◽  
First Person ◽  
Autobiographical Memories ◽  
True Nature ◽  
Person Perspective ◽  
Machine Learning Model ◽  
First Person Perspective

Investigating human consciousness based on brain activity alone is a key challenge in cognitive neuroscience. One of its central facets, the ability to form autobiographical memories, has been investigated through several fMRI studies that have revealed a pattern of activity across a network of frontal, parietal, and medial temporal lobe regions when participants view personal photographs, as opposed to when they view photographs from someone else’s life. Here, our goal was to attempt to decode when participants were re-experiencing an entire event, captured on video from a first-person perspective, relative to a very similar event experienced by someone else. Participants were asked to sit passively in a wheelchair while a researcher pushed them around a local mall. A small wearable camera was mounted on each participant, in order to capture autobiographical videos of the visit from a first-person perspective. One week later, participants were scanned while they passively viewed different categories of videos; some were autobiographical, while others were not. A machine-learning model was able to successfully classify the video categories above chance, both within and across participants, suggesting that there is a shared mechanism differentiating autobiographical experiences from non-autobiographical ones. Moreover, the classifier brain maps revealed that the fronto-parietal network, mid-temporal regions and extrastriate cortex were critical for differentiating between autobiographical and non-autobiographical memories. We argue that this novel paradigm captures the true nature of autobiographical memories, and is well suited to patients (e.g., with brain injuries) who may be unable to respond reliably to traditional experimental stimuli.

scholarly journals Mesenchymal Stem Cell Derived Extracellular Vesicles for Repairing the Neurovascular Unit after Ischemic Stroke

Cells ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 767
Author(s):  
Courtney Davis ◽  
Sean I. Savitz ◽  
Nikunj Satani
Keyword(s):  
Ischemic Stroke ◽  
Extracellular Vesicles ◽  
Neurovascular Unit ◽  
Culture Conditions ◽  
Therapeutic Effects ◽  
Stroke Treatment ◽  
Inflammatory Molecules ◽  
The Brain

Ischemic stroke is a debilitating disease and one of the leading causes of long-term disability. During the early phase after ischemic stroke, the blood-brain barrier (BBB) exhibits increased permeability and disruption, leading to an influx of immune cells and inflammatory molecules that exacerbate the damage to the brain tissue. Mesenchymal stem cells have been investigated as a promising therapy to improve the recovery after ischemic stroke. The therapeutic effects imparted by MSCs are mostly paracrine. Recently, the role of extracellular vesicles released by these MSCs have been studied as possible carriers of information to the brain. This review focuses on the potential of MSC derived EVs to repair the components of the neurovascular unit (NVU) controlling the BBB, in order to promote overall recovery from stroke. Here, we review the techniques for increasing the effectiveness of MSC-based therapeutics, such as improved homing capabilities, bioengineering protein expression, modified culture conditions, and customizing the contents of EVs. Combining multiple techniques targeting NVU repair may provide the basis for improved future stroke treatment paradigms.

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