Publications by authors named "W Krudop"

Behavioral variant frontotemporal dementia (bvFTD) is a neurodegenerative disorder characterized by diverse and prominent changes in behavior and personality. One of the greatest challenges in bvFTD is to capture, measure and predict its disease progression, due to clinical, pathological and genetic heterogeneity. Availability of reliable outcome measures is pivotal for future clinical trials and disease monitoring.

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Article Synopsis
  • Patients with phenocopy syndrome of bvFTD (phFTD) exhibit behavioral symptoms similar to those with behavioral variant frontotemporal dementia (bvFTD) but lack neuroimaging abnormalities and progression, complicating accurate diagnosis.* -
  • A study involving 128 patients aimed to differentiate phFTD from bvFTD by assessing symptoms reported by clinicians, patients, and caregivers; results showed that phFTD patients generally had better facial emotion recognition but reported more depressive symptoms.* -
  • The study concluded that social cognition tests, particularly facial emotion recognition, are the most effective in distinguishing phFTD from bvFTD, and highlighted the need for further research on phFTD's causes and the role of caregivers
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Background: The Flemish and Dutch (mental) health sectors cause greenhouse gas emissions and therefore will have to make an effort to reduce their climate impact.

Aim: To assess whether differences can be found in the climate policies of Flemish and Dutch mental health institutions.

Method: Descriptive research based on a sustainability questionnaire, in which concrete actions, objectives and ambitions in the field of sustainability were questioned at Flemish and Dutch mental health institutions.

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Objectives: Distinguishing sporadic behavioral variant of frontotemporal dementia (bvFTD) from late-onset primary psychiatric disorders (PPD) remains challenging with the lack of robust biomarkers. An early bvFTD misdiagnosis in PPD cases and vice-versa is common. Little is known about diagnostic (in)stability over longer period of time.

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Background: Differentiating the behavioural variant of frontotemporal dementia from a depression is challenging. Recent development of automated speech analyses might add to diagnostic.

Aim: To investigate the value of automated speech analyses in differentiating bvFTD from a depressive disorder.

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