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Review Article Open Access

Brain Imaging Technologies - A Mathematical Perspective

  • 1Neuroscience Lab, Centre for Molecular and Nanomedical Sciences, Centre for Nanoscience and Nanotechnology, School of Bio and Chemical Engineering, Sathyabama Institute of Science and Technology, (Deemed to be University), India
+ Affiliations - Affiliations

Corresponding Author

Rajesh Kannan R,  rajeshkannan.mnru@sathyabama.ac.in

Received Date: October 28, 2020

Accepted Date: December 05, 2020

Abstract

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.

Keywords

 Nanocarriers, RNAi, miRNA, siRNA, Gene delivery, Gene silencing

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