Publications by authors named "Akila Sekar"

Article Synopsis
  • The review examines eye movement disturbances linked to various neurodegenerative disorders, primarily focusing on Alzheimer's Disease, Parkinson's Disease, and atypical parkinsonism.
  • It explains how advanced eye-tracking technology aids in diagnosing these conditions by analyzing different types of eye movements and their specific abnormalities, such as increased saccadic latencies in Alzheimer's and saccadic hypometria in Parkinson's.
  • The study highlights the potential of eye movements as biomarkers for these diseases while addressing the diagnostic challenges and limitations present in current methodologies.
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Background And Objectives: Saccades, rapid movements of the eyes towards a visual or remembered target, are useful in understanding the healthy brain and the pathology of neurological conditions such as progressive supranuclear palsy (PSP). We set out to investigate the parameters of horizontal reflexive and volitional saccades, both visually guided and memory-guided, over a 1 min epoch in healthy individuals and PSP patients.

Methods: An experimental paradigm tested reflexive, volitional visually guided, and volitional memory-guided saccades in young healthy controls (n = 14; 20-31 years), PSP patients (n = 11; 46-75 years) and older age-matched healthy controls (n = 6; 56-71 years).

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Background: It is important to understand the pathophysiology of ocular myasthenia gravis (OMG) to improve treatment.

Aim: To use modern video-oculography to characterise saccadic eye movements in patients with OMG, including anti-AChR, anti-MuSK, anti-LRP4, and seronegative OMG.

Methods: In total, 21 patients with OMG and five age-matched healthy control subjects underwent video-oculography.

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Walking onto a stationary platform that had been previously experienced as moving generates a locomotor after-effect-the so-called 'broken escalator' phenomenon. The motor responses that occur during locomotor after-effects have been mapped theoretically using a hierarchal Bayesian model of brain function that takes into account current sensory information that is weighted according to prior contextually-relevant experiences; these in turn inform automatic motor responses. Here, we use the broken escalator phenomenon to explore motor learning in patients with functional gait disorders and probe whether abnormal postural mechanisms override ascending sensory information and conscious intention, leading to maladaptive and disabling gait abnormalities.

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