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Kenneth M. Heilman

Researcher at University of Florida

Publications -  712
Citations -  40917

Kenneth M. Heilman is an academic researcher from University of Florida. The author has contributed to research in topics: Neglect & Apraxia. The author has an hindex of 100, co-authored 706 publications receiving 39122 citations. Previous affiliations of Kenneth M. Heilman include Jerusalem Mental Health Center & McKnight Brain Institute.

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Journal ArticleDOI

Excessive TV watching in patients with frontotemporal dementia.

TL;DR: Compared to AD patients, FTD patients watched TV for a longer time and patients who watched more TV showed more signs of environmental dependency, however further research is needed to explore other hypotheses.
Journal ArticleDOI

The crossed response inhibition task in Parkinson's disease: disinhibition hyperkinesia.

TL;DR: It appears that PD is associated with a disengagement-inhibition defect that is not induced by a dopaminergic deficit, and the CRI task might be a brief sensitive bedside task for evaluating frontal dysfunction in PD.
Journal ArticleDOI

Progressive Asymmetric Apraxic Agraphia

TL;DR: A patient's poor performance on pantomime recognition and imagery suggests that his apraxia is related to a deterioration of his graphemic and transitive spatial movement representations, which might be the beginning of the corticobasal degeneration syndrome.
Book ChapterDOI

Visual artistic creativity and the brain

TL;DR: In this paper, the authors discuss anatomic and physiological studies, as well as neuropsychological studies of healthy artists and patients with neurological disease that have helped them gain some insight into the brain mechanisms that mediate artistic creativity.
Journal ArticleDOI

Dissociating Statistically-Determined Alzheimer's Disease/Vascular Dementia Neuropsychological Syndromes Using White and Gray Neuroradiological Parameters.

TL;DR: There are at least three distinct subtypes embedded within patients diagnosed clinically with AD/ VaD spectrum dementia, and future research is encouraged to assess a) the neuroradiological substrates underlying statistically-determined AD/VaD Spectrum dementia and b) how statistical modeling can be integrated into existing diagnostic criteria.