Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks

KA Smitha, K Akhil Raja, KM Arun… - The …, 2017 - journals.sagepub.com
The inquisitiveness about what happens in the brain has been there since the beginning of
humankind. Functional magnetic resonance imaging is a prominent tool which helps in the …

Identifying resting-state functional connectivity changes in the motor cortex using fNIRS during recovery from stroke

KM Arun, KA Smitha, PN Sylaja, C Kesavadas - Brain topography, 2020 - Springer
Resting-state functional imaging has been used to study the functional reorganization of the
brain. The application of functional near-infrared spectroscopy (fNIRS) to assess resting-…

Segmentation and volumetric analysis of the caudate nucleus in Alzheimer's disease

S Jiji, KA Smitha, AK Gupta, VPM Pillai… - European journal of …, 2013 - Elsevier
Objectives A quantitative volumetric analysis of caudate nucleus can provide valuable
information in early diagnosis and prognosis of patients with Alzheimer's diseases (AD). Purpose …

Fractal analysis: fractal dimension and lacunarity from MR images for differentiating the grades of glioma

KA Smitha, AK Gupta, RS Jayasree - Physics in Medicine & …, 2015 - iopscience.iop.org
Glioma, the heterogeneous tumors originating from glial cells, generally exhibit varied
grades and are difficult to differentiate using conventional MR imaging techniques. When this …

Resting-state seed-based analysis: an alternative to task-based language fMRI and its laterality index

KA Smitha, KM Arun, PG Rajesh… - American Journal …, 2017 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Language is a cardinal function that makes human unique.
Preservation of language function poses a great challenge for surgeons during resection. …

Functional near-infrared spectroscopy is in moderate accordance with functional MRI in determining lateralisation of frontal language areas

KM Arun, KA Smitha, PG Rajesh… - The neuroradiology …, 2018 - journals.sagepub.com
Purpose Understanding language dominance is crucial in pre-surgical evaluation of patients
with epilepsy and in patients having a tumour close to the language area. Functional …

Resting fMRI as an alternative for task-based fMRI for language lateralization in temporal lobe epilepsy patients: a study using independent component analysis

KA Smitha, KM Arun, PG Rajesh, B Thomas… - Neuroradiology, 2019 - Springer
Purpose Our aim is to investigate whether rs-fMRI can be used as an effective technique to
study language lateralization. We aim to find out the most appropriate language network …

Relative percentage signal intensity recovery of perfusion metrics—an efficient tool for differentiating grades of glioma

KA Smitha, AK Gupta… - The British Journal of …, 2015 - academic.oup.com
Objective: Glioma classification and characterization may be facilitated by a multiparametric
approach of perfusion metrics, which could not be achieved by conventional MRI alone. Our …

Total magnitude of diffusion tensor imaging as an effective tool for the differentiation of glioma

KA Smitha, A kumar Gupta, RS Jayasree - European Journal of Radiology, 2013 - Elsevier
OBJECTIVES: The study aims to evaluate the difference in diffusion properties between high
grade glioma and low grade glioma by measuring the total magnitude of diffusion tensor (L)…

Multiband fMRI as a plausible, time-saving technique for resting-state data acquisition: study on functional connectivity mapping using graph theoretical measures

KA Smitha, KM Arun, PG Rajesh, SE Joel… - Magnetic Resonance …, 2018 - Elsevier
Background and objectives Ensuring patient comfort and compliance by emphasizing reduced
time frame for image acquisition, without compromising image quality is the key aspect …