scispace - formally typeset
K

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.

Papers
More filters
Journal ArticleDOI

A Tapping Test in Apraxia

TL;DR: To ascertain if there is a motor defect of the non-paretic hand of apraxic patients, twenty patients were given a rapid finger tapping test and their performance was compared with the left hand performance of aphasic right hemiparetic non-apraxic controls, and the aptaxic group performed significantly slower than the control group, thereby giving support to Liepmann's hypothesis of Apraxia.
Journal ArticleDOI

Crossed apraxia: implications for handedness.

TL;DR: The impairment seen in the patient with crossed apraxia provides evidence for the fractionation of systems underlying hand preference and skilled movement, andinematic motion analyses of movement linearity, planarity, and the coupling of temporospatial aspects of movements substantiated the parallel impairments in RF and patients with LHApraxia.

Memoryloss fromasubcortical white matter infarct

TL;DR: This case demonstrates that an isolated lesion may cause memory loss without involvement of traditional structures associated with memory and may explain memory disturbances in other white matter disease such as multiple sclerosis and lacunar state.
Journal ArticleDOI

The Influence of Center of Mass Effect on the Distribution of Spatial Attention in the Vertical and Horizontal Dimensions

TL;DR: It is demonstrated that the center of mass effect can be seen with bisection tasks and is greater in the vertical than in the horizontal dimension.
Journal ArticleDOI

Alzheimer's/Vascular Spectrum Dementia: Classification in Addition to Diagnosis.

TL;DR: It is proposed that in conjunction with current diagnostic criteria, statistical modeling techniques using neuropsychological test performance should be leveraged to construct a system to classify AD/VaD spectrum dementia in order to test hypotheses regarding how mechanisms related to AD and VaD pathology interact and influence each other.