scholarly journals Biogenic metallic elements in the human brain?

2021 ◽  
Vol 7 (24) ◽  
pp. eabf6707
Author(s):  
James Everett ◽  
Frederik Lermyte ◽  
Jake Brooks ◽  
Vindy Tjendana-Tjhin ◽  
Germán Plascencia-Villa ◽  
...  
Keyword(s):  
Human Brain ◽  
Brain Function ◽  
Critical Role ◽  
Metallic Copper ◽  
Amyloid Plaque ◽  
Normal Brain ◽  
Metallic Elements ◽  
Normal Brain Function ◽  
The Brain ◽  
Positively Charged

The chemistry of copper and iron plays a critical role in normal brain function. A variety of enzymes and proteins containing positively charged Cu+, Cu2+, Fe2+, and Fe3+ control key processes, catalyzing oxidative metabolism and neurotransmitter and neuropeptide production. Here, we report the discovery of elemental (zero–oxidation state) metallic Cu0 accompanying ferromagnetic elemental Fe0 in the human brain. These nanoscale biometal deposits were identified within amyloid plaque cores isolated from Alzheimer’s disease subjects, using synchrotron x-ray spectromicroscopy. The surfaces of nanodeposits of metallic copper and iron are highly reactive, with distinctly different chemical and magnetic properties from their predominant oxide counterparts. The discovery of metals in their elemental form in the brain raises new questions regarding their generation and their role in neurochemistry, neurobiology, and the etiology of neurodegenerative disease.

scholarly journals The Neuroactivation of Cognitive Processes Investigated with SPECT

2000 ◽  
Vol 12 (1-2) ◽  
pp. 53-67 ◽  
Author(s):  
Daniela Montaldi ◽  
Andrew R. Mayes
Keyword(s):  
Human Brain ◽  
Cognitive Processes ◽  
Brain Function ◽  
Healthy Subjects ◽  
Functional Mapping ◽  
Normal Brain ◽  
Memory Processing ◽  
Yield Information ◽  
Normal Brain Function ◽  
The Brain

The last ten years have seen the development and expansion of an exciting new field of neuroscientific research; functional mapping of the human brain. Whilst many of the questions addressed by this area of research could be answered using SPECT, relatively few SPECT activation studies of this kind have been carried out. The present paper combines an evaluation of SPECT procedures used for neuroactivation studies, and their comparison with other imaging modalities (i.e., PET and fMRI), with a review of SPECT neuroactivation studies that yield information concerning normal brain function with a particular emphasis on the brain activations produced by memory processing. The paper aims to describe and counter common misunderstandings regarding potential limitations of the SPECT technique, to explain and illustrate which SPECT procedures best fulfill the requirements of a neuroactivation study, and how best to obtain information about normal brain function (whether using normal healthy subjects or patients) and finally to highlight SPECT’s potential future role in the functional mapping of the human brain.

scholarly journals What is the effect of body’s chemical messengers in the brain?

2019 ◽  
Vol 8 (3) ◽  
pp. 613-618
Keyword(s):  
Language Learning ◽  
Brain Function ◽  
Physicochemical Parameters ◽  
Active Sites ◽  
Geometry Optimization ◽  
Normal Brain ◽  
Delivery Technique ◽  
Normal Brain Function ◽  
Practical Model ◽  
The Brain

Neurochemical transmitters in the brain are fundamental to normal brain function and this investigation aims to introduce a study on the center of neuroscientific through an account of language development which conducts human speech mechanism using theoretical methods. In the process of this work, new understanding has been gained from the neurochemistry of several important neurotransmitters of dopamine (DA), epinephrine (EN), norepinephrine (NE), histamine (HA) and serotonin (ST) in brain by Monte Carlo simulation (MC) which uses the increased temperature to the potential energy of the neurochemicals in the brain considering the geometry optimization of the compounds as an additional conformational level. Moreover, the results of optimized DA, EN, NE, HA, ST neurochemical transmitters by running the physicochemical parameters as a practical model using Gaussian 09 program package can approve the twisting of language-brain due to these structures using density electron deliverers. The most stable of these compounds through the active sites of nitrogen and oxygen atoms has illustrated the best optimized position for localizing the structure through delivery technique in the brain to activate the center of learning a language as a simulated model. So, the best results with the calculated amounts conduct us to analyze the perspective of language learning process and enhancing this ability.

scholarly journals Resolving rates of mutation in the brain using single-neuron genomics

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Gilad D Evrony ◽  
Eunjung Lee ◽  
Peter J Park ◽  
Christopher A Walsh
Keyword(s):  
Single Cell ◽  
Somatic Mutation ◽  
Brain Function ◽  
Single Neuron ◽  
Bioinformatic Analysis ◽  
Normal Brain ◽  
Neuronal Function ◽  
Human Neurons ◽  
Normal Brain Function ◽  
The Brain

Whether somatic mutations contribute functional diversity to brain cells is a long-standing question. Single-neuron genomics enables direct measurement of somatic mutation rates in human brain and promises to answer this question. A recent study (<xref ref-type="bibr" rid="bib65">Upton et al., 2015</xref>) reported high rates of somatic LINE-1 element (L1) retrotransposition in the hippocampus and cerebral cortex that would have major implications for normal brain function, and suggested that these events preferentially impact genes important for neuronal function. We identify aspects of the single-cell sequencing approach, bioinformatic analysis, and validation methods that led to thousands of artifacts being interpreted as somatic mutation events. Our reanalysis supports a mutation frequency of approximately 0.2 events per cell, which is about fifty-fold lower than reported, confirming that L1 elements mobilize in some human neurons but indicating that L1 mosaicism is not ubiquitous. Through consideration of the challenges identified, we provide a foundation and framework for designing single-cell genomics studies.

A Survey on Detection and Classification of Brain Tumor Using Image Processing Techniques

2020 ◽  
pp. 967-973
Author(s):  
V. Deepika ◽  
T. Rajasenbagam
Keyword(s):  
Image Processing ◽  
Brain Tumor ◽  
Soft Tissues ◽  
Tumor Detection ◽  
Tumor Classification ◽  
Normal Brain ◽  
Image Processing Techniques ◽  
Normal Brain Function ◽  
Processing Techniques ◽  
The Brain

A brain tumor is an uncontrolled growth of abnormal brain tissue that can interfere with normal brain function. Although various methods have been developed for brain tumor classification, tumor detection and multiclass classification remain challenging due to the complex characteristics of the brain tumor. Brain tumor detection and classification are one of the most challenging and time-consuming tasks in the processing of medical images. MRI (Magnetic Resonance Imaging) is a visual imaging technique, which provides a information about the soft tissues of the human body, which helps identify the brain tumor. Proper diagnosis can prevent a patient's health to some extent. This paper presents a review of various detection and classification methods for brain tumor classification using image processing techniques.

Frontier concept of rabi chip for intelligent humanoid

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Preecha Yupapin ◽  
Amiri I. S. ◽  
Ali J. ◽  
Ponsuwancharoen N. ◽  
Youplao P.
Keyword(s):  
Human Brain ◽  
Brain Function ◽  
Rabi Oscillation ◽  
Liquid Core ◽  
Brain Surface ◽  
Dipole Oscillation ◽  
On Chip ◽  
The Brain ◽  
Robotic Applications ◽  
Atom System

The sequence of the human brain can be configured by the originated strongly coupling fields to a pair of the ionic substances(bio-cells) within the microtubules. From which the dipole oscillation begins and transports by the strong trapped force, which is known as a tweezer. The tweezers are the trapped polaritons, which are the electrical charges with information. They will be collected on the brain surface and transport via the liquid core guide wave, which is the mixture of blood content and water. The oscillation frequency is called the Rabi frequency, is formed by the two-level atom system. Our aim will manipulate the Rabi oscillation by an on-chip device, where the quantum outputs may help to form the realistic human brain function for humanoid robotic applications.

The role of GABAA receptor biogenesis, structure and function in epilepsy

2006 ◽  
Vol 34 (5) ◽  
pp. 863-867 ◽  
Author(s):  
S. Mizielinska ◽  
S. Greenwood ◽  
C.N. Connolly
Keyword(s):  
Gabaa Receptor ◽  
Structure And Function ◽  
Inhibitory Synapses ◽  
Normal Brain ◽  
Synaptic Targeting ◽  
Acid Type ◽  
Normal Brain Function ◽  
And Function ◽  
The Brain

Maintaining the correct balance in neuronal activation is of paramount importance to normal brain function. Imbalances due to changes in excitation or inhibition can lead to a variety of disorders ranging from the clinically extreme (e.g. epilepsy) to the more subtle (e.g. anxiety). In the brain, the most common inhibitory synapses are regulated by GABAA (γ-aminobutyric acid type A) receptors, a role commensurate with their importance as therapeutic targets. Remarkably, we still know relatively little about GABAA receptor biogenesis. Receptors are constructed as pentameric ion channels, with α and β subunits being the minimal requirement, and the incorporation of a γ subunit being necessary for benzodiazepine modulation and synaptic targeting. Insights have been provided by the discovery of several specific assembly signals within different GABAA receptor subunits. Moreover, a number of recent studies on GABAA receptor mutations associated with epilepsy have further enhanced our understanding of GABAA receptor biogenesis, structure and function.

scholarly journals Cranioplasty Sinking Should Affect Normal Brain Function Mimicking Other Neurologic Illness: Fig 1.

2012 ◽  
Vol 33 (4) ◽  
pp. e65-e65
Author(s):  
M. del Mar Carmona Abellán ◽  
M. Murie Fernández ◽  
P. Esteve Belloch
Keyword(s):  
Brain Function ◽  
Normal Brain ◽  
Normal Brain Function

scholarly journals The brain timewise: how timing shapes and supports brain function

2015 ◽  
Vol 370 (1668) ◽  
pp. 20140170 ◽  
Author(s):  
Riitta Hari ◽  
Lauri Parkkonen
Keyword(s):  
Human Brain ◽  
Brain Imaging ◽  
Brain Function ◽  
Temporal Dynamics ◽  
Generative Models ◽  
Network Activity ◽  
Brain Diseases ◽  
Specific Information ◽  
Non Invasive ◽  
The Brain

We discuss the importance of timing in brain function: how temporal dynamics of the world has left its traces in the brain during evolution and how we can monitor the dynamics of the human brain with non-invasive measurements. Accurate timing is important for the interplay of neurons, neuronal circuitries, brain areas and human individuals. In the human brain, multiple temporal integration windows are hierarchically organized, with temporal scales ranging from microseconds to tens and hundreds of milliseconds for perceptual, motor and cognitive functions, and up to minutes, hours and even months for hormonal and mood changes. Accurate timing is impaired in several brain diseases. From the current repertoire of non-invasive brain imaging methods, only magnetoencephalography (MEG) and scalp electroencephalography (EEG) provide millisecond time-resolution; our focus in this paper is on MEG. Since the introduction of high-density whole-scalp MEG/EEG coverage in the 1990s, the instrumentation has not changed drastically; yet, novel data analyses are advancing the field rapidly by shifting the focus from the mere pinpointing of activity hotspots to seeking stimulus- or task-specific information and to characterizing functional networks. During the next decades, we can expect increased spatial resolution and accuracy of the time-resolved brain imaging and better understanding of brain function, especially its temporal constraints, with the development of novel instrumentation and finer-grained, physiologically inspired generative models of local and network activity. Merging both spatial and temporal information with increasing accuracy and carrying out recordings in naturalistic conditions, including social interaction, will bring much new information about human brain function.

THE INSULA: ISLAND OF REIL

2015 ◽  
Vol 86 (11) ◽  
pp. e4.155-e4
Author(s):  
Ray Wynford-Thomas ◽  
Rob Powell
Keyword(s):  
Speech Processing ◽  
Brain Function ◽  
Insular Cortex ◽  
Normal Brain ◽  
Temporal Epilepsy ◽  
Normal Brain Function ◽  
Temporal Structures ◽  
Hypermotor Seizures ◽  
Posterior Insula ◽  
As Effects

Just as ‘no man is an island’, despite its misleading name, the insula is not an island. Sitting deeply within the cerebrum, the insular cortex and its connections play an important role in both normal brain function and seizure generation. Stimulating specific areas of the insula can produce somatosensory, viscerosensory, somatomotor and visceroautonomic symptoms, as well as effects on speech processing and pain. Insular onset seizures are rare, but may mimic both temporal and extra-temporal epilepsy and if not recognised, may lead to failure of epilepsy surgery. We therefore highlight the semiology of insular epilepsy by discussing three cases with different auras. Insular onset seizures can broadly be divided into three main types both anatomically and according to seizure semiology:1. Seizures originating in the antero-inferior insula present with laryngeal constriction, along with visceral and gustatory auras (similar to those originating in medial temporal structures).2. Antero-superior onset seizures can have a silent onset, but tend to propagate rapidly to motor areas causing focal motor or hypermotor seizures.3. Seizures originating in the posterior insula present with contralateral sensory symptoms.

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