Identifying and monitoring cognitive deficits in clinical populations using Automated Neuropsychological Assessment Metrics (ANAM) tests | Zendy

Robert R. Kane | Zendy; Tresa RoebuckSpencer | Zendy; Paul Short | Zendy; Michael Kabat | Zendy; Jeffrey Wilken | Zendy

Open Access

Identifying and monitoring cognitive deficits in clinical populations using Automated Neuropsychological Assessment Metrics (ANAM) tests

Author(s) -

Robert R. Kane,

Tresa RoebuckSpencer,

Paul Short,

Michael Kabat,

Jeffrey Wilken

Publication year - 2006

Publication title -

archives of clinical neuropsychology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.909

H-Index - 98

eISSN - 1873-5843

pISSN - 0887-6177

DOI - 10.1016/j.acn.2006.10.006

Subject(s) - neuropsychological assessment , neuropsychology , dementia , medicine , migraine , cognition , physical medicine and rehabilitation , disease , psychology , psychiatry

In this article we review studies in which Automated Neuropsychological Assessment Metrics (ANAM) measures were used to screen for impairment in various clinical populations. These clinical groups include patients with multiple sclerosis, systemic lupus erythematosus, Parkinson's disease, Alzheimer's dementia, acquired brain injury, and migraine headache. Data are also presented from a group of outpatient referrals unselected with respect to clinical condition. Findings support the use of ANAM as a screening procedure for identifying the impaired patient.

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