• Address:

    2803 Philadelphia Pike B
    # 4081 Claymont, DE 19703

  • Mail us:

    support@pragmajournals.org

  • Submit

Journal of Neurology and Brain Research

Current Issue [Volume 2 | Issue 1]

The Science of Divinity: Part III Immersive Neuroscience, Multiversal neuroscience and Neuroeconomics

Journal of Neurology and Brain Research

Article Type: Short-Communication Volume 1 | Issue 1
Authors:
A. K. Mukhopadhyay

The foundational framework of divinity could be studied objectively that might help in guiding the pathway for its subjective experience. The pursuit of such science has implications in behavioral neuroscience. On pursuit of such science of divinity, we are led to the roots of immersive neuroscience, multiversal neuroscience and ontologically-reversed neuroscience. This also brings the fountainhead of multiversal neuroeconomics in sharp focus for the space time world.

 
DOI: 10.47755/2766-9661.1000105

Screen Time, Pandemic and Child Neurology

Journal of Neurology and Brain Research

Article Type: Short-Communication Volume 1 | Issue 1
Authors:

Nabina Sharma, Ayush Chandra, Avinash Chandra

After the COVID-19 pandemic spread and became uncontrollable then the governments worldwide enforced school closure as part of their containment strategy, which gave rise to digital technology and virtual learning for ensuring some degree of classes continuity. This article tries to explain the condition of increased screen time due to online digitalized education system amidst pandemic and it also briefs the neurological impact on child due to screen timing and pandemic.

 
DOI: 10.47755/2766-9661.1000104

The Science of Divinity Part II: Triple Transcendence Sketching out the Pathway for a Science of Consciousness

Journal of Neurology and Brain Research

Article Type: Short Commentary Volume 1 | Issue 1
Authors:
A. K. Mukhopadhyay
DOI: 10.47755/2766-9661.1000103

Brain Imaging Technologies - A Mathematical Perspective

Journal of Neurology and Brain Research

Article Type: Review Article Volume 1 | Issue 1
Authors:

Suraiya Saleem1, Rajaretinam Rajesh Kannan1*

The brain is a multilayered and multicompartment system structured for accomplishing robust behaviours which leads to cognitive and physiological functioning of the human system [1]. The total volume of the human brain is 1450cm3 on an average. It comprises of innumerable neurons and glial cells which make up the building blocks of the brain [2]. Scientists have been trying to understand the brain and unfold it’s mysteries for many decades. Inspite of taking avid interest in this field the information gathered does not provide a complete comprehensive perception of the brain [3, 4]. The effort to comprehend the brain has evolved over the years [5]. Machine learning techniques are being widely used to make relevant outcomes for neuro imaging. The advent of imaging technologies has helped to facilitate our understanding of the brain and its complexities [6-8]. Brain imaging technologies provide an unprecedented tool to analyse the changes in the central nervous system (CNS). These technologies have bought with them higher resolution and deeper penetration into the brain thus exposing newer functionalities of it. Exploring the brain to absorb its secrets and unravel its enigma is one of the most promising and rewarding applications of biomedical brain imaging technologies. Brain imaging technologies provide non invasive techniques of viewing the brain and its activities [9]. Doctors and researchers can monitor the brain without having to intrude into it via painful and risk staking neurosurgeries. This is one of the biggest advantages of the emerging and ever evolving brain imaging technologies. Today, a number of these techniques are being put to practical application to save innumerable patients around the globe. The current brain imaging technologies include Functional magnetic resonance imaging (fMRI), Computed tomography (CT), Positron Emission Tomography (PET), Electroencephalography (EEG), Magnetoencephalography (MEG), Near infrared spectroscopy, Two Photon Microscopy and Photoacoustic tomography (PAT). Of these fMRI and PAT are the recent imaging tools of particular interest.

DOI: 10.47755/2766-9661.1000102

DeepNeuroscience: The Way the Brain needs to be Looked into

Journal of Neurology and Brain Research

Article Type: Review Article Volume 1 | Issue 1
Authors:
A. K. Mukhopadhyay

Neuroscience is not a stand-alone discipline. The brain interacts with outside environment at different depths of nature. Neuroscience is embedded in cognitive science, which in turn is embedded in cosmology and astrophysics. Science of various information-states is the key to go about their operation. Five different areas have been specified with innovative ideas and review of presently available knowledge in the literature namely, cognition, behavior, dark energy, consciousness and layers between signal and consciousness. On the basis of these ideas several research questions and research statements have been made. What is in demand is innovative technology in addition to existing neuroimaging techniques and computational neuroscience; for example, new clinical skill for cognitive analysis, brain inter-netting, a kind of mechanization mimicking ‘psyche’ that runs by not force, energy or field, but by means of ‘will’ and intention, a technology that could harness dark energy as visible energy and another new technology that could help healing. All said and done, this is the time to change the way we look into the brain and penetrate into the depth of neuroscience to analyze the brain, cognition and behavior in the context of the multiversal whole.

DOI: 10.47755/2766-9661.1000101
INDEXING
PARTNERS