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Chandrasekharan Kesavadas

Researcher at Sree Chitra Thirunal Institute for Medical Sciences and Technology

Publications -  254
Citations -  4818

Chandrasekharan Kesavadas is an academic researcher from Sree Chitra Thirunal Institute for Medical Sciences and Technology. The author has contributed to research in topics: Magnetic resonance imaging & Susceptibility weighted imaging. The author has an hindex of 31, co-authored 236 publications receiving 4017 citations. Previous affiliations of Chandrasekharan Kesavadas include College of Engineering, Trivandrum & Vita-Salute San Raffaele University.

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Evidence for widespread axonal damage at the earliest clinical stage of multiple sclerosis.

TL;DR: Widespread axonal pathology, largely independent of MRI-visible inflammation and too extensive to be completely reversible, occurs in patients even at the earliest clinical stage of multiple sclerosis, and argues strongly in favour of early neuroprotective intervention.
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Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks.

TL;DR: The concept of resting state functional magnetic resonance imaging is introduced in detail, three most widely used methods for analysis are discussed, and a few of the resting state networks featuring the brain regions, associated cognitive functions and clinical applications are described.
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Clinical applications of susceptibility weighted MR imaging of the brain - a pictorial review

TL;DR: This unique MR sequence will help in detecting occult low flow vascular lesions, calcification and cerebral microbleed in various pathologic conditions and aids in characterizing tumors and degenerative diseases of the brain.
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Susceptibility weighted imaging: a new tool in magnetic resonance imaging of stroke

TL;DR: This MR technique detects early haemorrhagic transformation within an infarct and provides insight into the cerebral haemodynamics following stroke, and helps in the diagnosis of cerebral venous thrombosis.
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Seizure outcome after anterior temporal lobectomy and its predictors in patients with apparent temporal lobe epilepsy and normal MRI.

TL;DR: Very little reliable information is available regarding the role of anterior temporal lobectomy (ATL), optimal presurgical evaluation strategy, post‐ATL seizure outcome, and the factors that predict the outcome in patients with medically refractory temporal lobe epilepsy and normal high‐resolution magnetic resonance imaging (MRI).