Neuroimaging was developed as a non-invasive and objective technique for studying the function and structure of the normal human brain, utilizing quantitative computational methods. The utilization of quantitative research in the study of neurological and mental health disorders is experiencing a notable increase. While there are post-residency programs offered in the field of Neuro-Radiology, it is important to note that neuroimaging is not recognized as an independent medical specialty. An increasing number of studies are placing emphasis on matters pertaining to rehabilitation. Hence, possessing a fundamental understanding of the prevailing neuroimaging approaches is crucial for comprehending and analyzing this rapidly evolving research area. This article provides an overview of the signal source, reviews the advantages and limitations associated with the techniques, and presents a comprehensive evaluation of the field. Functional magnetic resonance imaging (fMRI) has materialized as a prominent tool within the realm of rehabilitation science due to its widespread utilization and significance.
S. Sepehri Shakib and F. Ghasemi, “Investigating the effect of stimulus type on Electroencephalogram signal in a brain-Computer Interface system with interaction error,” Front. Biomed. Technol., 2022.
F. Maestú et al., “A multicenter study of the early detection of synaptic dysfunction in Mild Cognitive Impairment using Magnetoencephalography-derived functional connectivity,” NeuroImage Clin., vol. 9, pp. 103–109, 2015.
K. Oechsle et al., “[18F]Fluorodeoxyglucose positron emission tomography in nonseminomatous germ cell tumors after chemotherapy: the German multicenter positron emission tomography study group,” J. Clin. Oncol., vol. 26, no. 36, pp. 5930–5935, 2008.
M. van Hooff, E. J. Meijer, M. R. M. Scheltinga, H. H. C. M. Savelberg, and G. Schep, “Test-retest reliability of skeletal muscle oxygenation measurement using near-infrared spectroscopy during exercise in patients with sport-related iliac artery flow limitation,” Clin. Physiol. Funct. Imaging, vol. 42, no. 2, pp. 114–126, 2022.
Y. Zhang, “Editorial for ‘multiparametric magnetic resonance imaging of the kidneys: Effects of regional, side, and hydration variations on functional quantifications,’” J. Magn. Reson. Imaging, vol. 58, no. 1, pp. 234–235, 2023.
G. Comi et al., “Evoked potentials in diagnosis and monitoring of multiple sclerosis,” Electroencephalogr. Clin. Neurophysiol. Suppl., vol. 49, pp. 13–18, 1999.
R. Arulmurugan and H. Anandakumar, “Early Detection of Lung Cancer Using Wavelet Feature Descriptor and Feed Forward Back Propagation Neural Networks Classifier,” Lecture Notes in Computational Vision and Biomechanics, pp. 103–110, 2018, doi: 10.1007/978-3-319-71767-8_9.
“Evaluation of the effects of recurrent dexmedetomidine on cognitive functions and brain tissue in streptozotocin-induced rats with Alzheimer’s disease,” Gazi Med. J., vol. 33, no. 1, 2022.
A. A. Z. Dwidar et al., “Clinical and radiological localization of language dysfunctions in acute ischemic stroke,” Open J. Med. Imaging, vol. 04, no. 02, pp. 80–85, 2014.
I. Bogdanović et al., “Analysis of anatomical oriented and direct electrical stimulation of the brain cortex in the identification of motor area,” J. Neurol. Surg. A Cent. Eur. Neurosurg., vol. 76, no. S 02, 2015.
C. Zanella, J. Laures-Gore, V. M. Dotson, and S. R. Belagaje, “Incidence of post-stroke depression symptoms and potential risk factors in adults with aphasia in a comprehensive stroke center,” Top. Stroke Rehabil., vol. 30, no. 5, pp. 448–458, 2023.
K. E. Lewis, J. A. Annandale, R. N. Sykes, C. Hurlin, C. Owen, and N. K. Harrison, “Prevalence of anxiety and depression in patients with severe COPD: similar high levels with and without LTOT,” COPD, vol. 4, no. 4, pp. 305–312, 2007.
Z. Bai, J. Zhang, and K. N. K. Fong, “Effects of transcranial magnetic stimulation in modulating cortical excitability in patients with stroke: a systematic review and meta-analysis,” J. Neuroeng. Rehabil., vol. 19, no. 1, p. 24, 2022.
L. B. Krivdin, “Structural applications of the isotropic liquid-phase deuterium nuclear magnetic resonance,” Magn. Reson. Chem., vol. 61, no. 8, pp. 451–472, 2023.
M. Zhang, “Forensic imaging: a powerful tool in modern forensic investigation,” Forensic Sci. Res., vol. 7, no. 3, pp. 385–392, 2022.
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Cite this article
Arulmurugan Ramu and Anandakumar Haldorai, “Techniques, Advantages and Limitations of Neuroimaging: A Systematic Review”, Journal of Biomedical and Sustainable Healthcare Applications, vol.4, no.1,
pp. 054-062, January 2024. doi: 10.53759/0088/JBSHA20240406.