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Magnetoencephalography (MEG) plays a pivotal role in the diagnosis of brain disorders. In this review, we have investigated potential MEG applications for analysing brain disorders. The signal-to-noise ratio (SNRMEG = 2.2 db, SNREEG < 1 db) and spatial resolution (SRMEG = 2–3 mm, SREEG = 7–10 mm) is higher for MEG than EEG, thus MEG potentially facilitates accurate monitoring of cortical activity. We found that the direct electrophysiological MEG signals reflected the physiological status of neurological disorders and play a vital role in disease diagnosis. Single-channel connectivity, as well as brain network analysis, using MEG data acquired during resting state and a given task has been used for the diagnosis of neurological disorders such as epilepsy, Alzheimer's, Parkinsonism, autism, and schizophrenia. The workflow of MEG and its potential applications in the diagnosis of disease and therapeutic planning are also discussed. We forecast that computer-aided algorithms will play a prominent role in the diagnosis and prediction of neurological diseases in the future. The outcome of this narrative review will aid researchers to utilise MEG in diagnostics. [ABSTRACT FROM AUTHOR]

• Presents a generic Computer-Aided Product Design (CAPD) methodology for solvent-based organic coating formulations. • Applies the developed computer-aided framework to select solvents for an acrylic coating formulation. • Optimizes the selection of appropriate solvent mixture based on cost. • Accounts for environmental, health and safety properties in the selection of solvents. Selection of solvents and calculation of their composition in the final product, is a critical step in coating formulation design. This task can be facilitated by computer-aided methods if the necessary thermodynamic and group contribution property models along with chemical property data are available for the ingredients under consideration. However, these computer-aided procedures must be supplemented and verified by using experimental procedures. Hence, the computer-aided stage can be used to speed-up the solvent selection and design process, efficiently utilize experimental resources and serve as a guide for the formulation chemist. We present in this work an adaption of the generic Computer-Aided Product Design (CAPD) methodology for organic coating formulations. Herein, the paper discusses a model-based framework developed for the design of solvents for such coatings. The applicability of this framework is tested via a case study wherein, solvents for the dispersion of two specific organic pigments are required to be determined, when acrylic polymers are used as dispersing aids. [ABSTRACT FROM AUTHOR]