Browsing by Author "Ediri Arachchi, WM"
Now showing items 1-9 of 9
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Brain Structural Covariance Networks of Patients with Migraine: A Source-based Morphometry Study
Wishwanthi, DAD; Fernando, WNS; Senanayake, G; Pushpakumara, KSR; Ediri Arachchi, WM (2023-09)Migraine is associated with grey matter changes in the human brain, but the interrelationships between voxels and naturally grouped patterns of structural variations need to be identi ed to understand how migraine a ects ... -
Characterization and Classification of Structural Brain Changes in Generalized Epilepsy using Region based Morphometry
Wimalasiri, DMDT; Rajapaksha, SRAL; Sampath, WKC; Ediri Arachchi, WM (2024-09-26) -
Characterization of Grey Matter and White Matter Abnormalities in Epilepsy Using Voxel-Based Morphometry and Tensor-Based Morphometry
Daswatte, MRAU; Grero, PR; Jayarathne, REP; David, AA; Pallewatte, AS; Senanayake, G; Ediri Arachchi, WM (2022)White matter and grey matter changes in epilepsy detected by Voxel-based morphometry (VBM) and Tensor-based morphometry (TBM) shows notable similarities and differences to date. Therefore, a direct comparison of results ... -
Characterization of Morphological Brain Changes in Generalized Epilepsy Using Region Based Morphometry
Wimalasiri, DMDT; Rajapaksha, SRAL; Zhang, X2; Sampath, WKC; Ediri Arachchi, WM (2024-11)Magnetic Resonance Imaging has been widely involved in detecting morphological brain changes in generalized epilepsy at voxel level. It is believed that region-based morphometry could provide better characterizations for ... -
Classification of Patients with Epilepsy and Healthy Subjects Using Structural MRI; A Tensor-Based Morphometry Study
Piyumali, WADH; Jayasinghe, GDYB; Egodage, S; Ediri Arachchi, WM (2021)Computational neuroanatomy using magnetic resonance imaging (MRI) has been used extensively in studies of epilepsy to detect morphological abnormalities (Grey matter and White matter volumes) of the brain. However, ... -
Classification of Patients with Mild Depression and Healthy Controls Using Nodal Brain Network Topology
Piyumali, WADH; Jayasinghe, GDYB; Ediri Arachchi, WM (2021)The potential to use functional brain network topology in classification of patients with mild depression and healthy subjects using machine learning is poorly studied. The resting-state fMRI data of 51 patients with ... -
A Comparison of Gray Matter Structural Networks of Patients with Migraine and Healthy Subjects: A Graph Theory-Based Study
Amarasinghe, ADI; Wijewickrama, DIH; Senanayake, G; Pushpakumara, KSR; Ediri Arachchi, WM (2023-09)Migraine is a common primary brain disorder which is characterized by recurrent pulsating and throbbing head pain. Magnetic Resonance Imaging (MRI) - based neuroimaging has been extensively used to detect structural brain ... -
Detection of Gross Brain Volume Changes in Patients with Migraine Using Magnetic Resonance Imaging
de Fonseka, IS; Lawanya, MAD; Senanayake, G; Pushpakumara, KSR; Ediri Arachchi, WM (2023-09)Magnetic Resonance Imaging (MRI) based computational neuroanatomy has shown to be an e ective approach in detecting grey matter, and white matter changes in the brains of individuals with migraine. However, research on ... -
Reject Analysis of Intra-Oral Periapical (IOPA) Radiographs of Department of Radiology, Dental Teaching Hospital, Peradeniya, Sri Lanka
Ediri Arachchi, WM; Chandrasena, WMDTM; Tudugala, R; Jayasinghe, RD (2015)Intra-oral Periapical (IOPA) X-rays are the most common dental radiographs taken at the Department of Dental Radiology and which require considerable intervention of radiographer compared with the other modes of radiation ...