Abstract
Bridging the human mind with an external system implicitly or explicitly has been the aspiration of researchers working in the field of cognitive neuroimaging. Identifying the potential of various imaging techniques in identifying and mapping different regions of the brain in relation to their functions is the key to eliminating the difficulties in developing a mind-machine interface (MMI). Communication technology has flourished to the extent that wireless MMI applications can be designed to virtually control machines like wheelchairs, artificial limbs, etc. A cornucopia of diversified works on cognitive imaging is required to move the preliminary MMI models forward, thus engendering a technologically advanced system which can be operated directly by the brain. This article provides an overview of various aspects of cognitive neuroimaging and its potential applications in the development of a mind-machine interface.
Highlights
Functional neuroimaging portrays the regions of the brain that are responsible for specific cognitive functions
The experimental study on regional cerebral blood flow (CBF) by Bookheimer et al using positron emission tomography showed that there are two different mechanisms involved in the cognitive emission tomography showed that there are two different mechanisms involved in the cognitive process of silent reading and reading out loud
The same study was done using positron emission tomography (PET) and single-photon emission CT (SPECT), and the results showed a regional decrease in perfusion to brain with Alzheimer’s disease (AD) patients
Summary
Functional neuroimaging portrays the regions of the brain that are responsible for specific cognitive functions. Neuroimaging has helped us comprehend the fundamental concept that intricate mental functions are best expressed as a blend of different rudimentary operations This may not be restricted to a single region of the brain but can be a result of the combined work of various regions and neuronal networks. The purpose imaging is tostrategies map the cognitive functions withdissociation the spatial locations of the brain This canof befunctional achieved by different and models like double [6], which the brain. A prospective application of cognitive neuroimaging willvarious be its use in designing a mind-machine interface [7]. This imaging technique can potentially identify regions of cognition which can interface [7].control.
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