Publications by authors named "Smriti Ghildiyal"

Background: The Visual Cognitive Assessment Test (VCAT) is a visual based, language neutral cognitive assessment validated across cultures and ethnicities, that allows for early diagnosis of cognitive impairment. The VCAT assess domains of cognition - Memory, Visuospatial function, attention, language and Executive function. The Mild Behavioural Impairment Checklist (MBI-C) was developed to assess five domains of NPS - Decreased motivation, emotional dysregulation, impulse control, social inappropriateness and abnormal beliefs/perceptions Current research indicates an association between MBI symptom severity and poorer cognitive performance in the domains of memory.

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Background: Visual Cognitive Assessment Test(VCAT) is a visual-based cognitive evaluation tool which can be administered to multilingual populations without translation. VCAT has shown to be effective in differentiating mild cognitive impairment(MCI) from cognitively normal and useful for diagnosing MCI and mild AD(Kandiah et al., 2016).

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Background: Mild Behavioral Impairment (MBI) is the onset of sustained neuropsychiatric symptoms that are considered as a possible precursor to neurodegenerative conditions, especially dementia. The concept of MBI recognizes that behavioral changes may be an early sign of brain changes due to neurodegeneration. Very recent research has shown behavioral changes in MBI might be linked to changes in brain structure, including cortical thickness.

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Background: The Test of Practical Judgement (TOP-J) in its 9-item (TOPJ9) and 15-item (TOPJ15) versions (Rabin et el., 2007), validated for assessing practical judgement, encompasses day-to-day scenarios in medical, financial, safety, and social/ethical domains. This study seeks to evaluate its utility in distinguishing cognitively unimpaired (CU) individuals from those with Mild Cognitive Impairment (MCI) within a Southeast Asian population.

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Background: The use of structural and perfusion brain imaging in combination with behavioural information in the prediction of cognitive syndromes using a data-driven approach remains to be explored. Here, we thus examined the contribution of brain structural and perfusion imaging and behavioural features to the existing classification of cognitive syndromes using a data-driven approach.

Methods: Study participants belonged to the community-based Biomarker and Cognition Cohort Study in Singapore who underwent neuropsychological assessments, structural-functional MRI and blood biomarkers.

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Background: Mild behavioral impairment (MBI) is one of the earliest observable changes when a person experiences cognitive decline and could be an early manifestation of underlying Alzheimer's disease neuropathology. Limited attention has been given to investigating the clinical applicability of behavioral biomarkers for detection of prodromal dementia.

Objective: This study compared the prevalence of self-reported MBI and vascular risk factors in Southeast Asian adults to identify early indicators of cognitive impairment and dementia.

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