J C Thompson1, C L Stopford, J S Snowden, D Neary. 1. Cerebral Function Unit, Greater Manchester Neuroscience Centre, Hope Hospital, Salford M6 8HD, UK. jennifer.thompson@manchester.ac.uk
Abstract
BACKGROUND: Frontotemporal dementia (FTD) and Alzheimer's disease are clinically distinct disorders, yet neuropsychological studies have had variable success in distinguishing them. A possible reason is that studies typically rely on overall accuracy scores, which may obscure differences in reasons for failure. OBJECTIVES: To explore the hypothesis that analysis of qualitative performance characteristics and error types, in addition to overall numerical scores, would enhance the neuropsychological distinction between FTD and Alzheimer's disease. METHODS: 38 patients with FTD and 73 with Alzheimer's disease underwent assessment of language, visuospatial abilities, memory, and executive function, using a neuropsychological screening instrument and standard neuropsychological tests. In each of these cognitive domains, performance characteristics and error types were documented, in addition to numerical scores on tests. RESULTS: Whereas comparison of neuropsychological test scores revealed some group differences, these did not occur consistently across tests within cognitive domains. However, analysis of performance characteristics and error types revealed qualitative differences between the two groups. In particular, FTD patients displayed features associated with frontal lobe dysfunction, such as concrete thought, perseveration, confabulation, and poor organisation, which disrupted performance across the range of neuropsychological tests. CONCLUSIONS: Numerical scores on neuropsychological tests alone are of limited value in differentiating FTD and Alzheimer's disease, but performance characteristics and error types enhance the distinction between the two disorders. FTD is associated with a profound behavioural syndrome that affects performance on cognitive assessment, obscuring group differences. Qualitative information should be included in neuropsychological research and clinical assessments.
BACKGROUND: Frontotemporal dementia (FTD) and Alzheimer's disease are clinically distinct disorders, yet neuropsychological studies have had variable success in distinguishing them. A possible reason is that studies typically rely on overall accuracy scores, which may obscure differences in reasons for failure. OBJECTIVES: To explore the hypothesis that analysis of qualitative performance characteristics and error types, in addition to overall numerical scores, would enhance the neuropsychological distinction between FTD and Alzheimer's disease. METHODS: 38 patients with FTD and 73 with Alzheimer's disease underwent assessment of language, visuospatial abilities, memory, and executive function, using a neuropsychological screening instrument and standard neuropsychological tests. In each of these cognitive domains, performance characteristics and error types were documented, in addition to numerical scores on tests. RESULTS: Whereas comparison of neuropsychological test scores revealed some group differences, these did not occur consistently across tests within cognitive domains. However, analysis of performance characteristics and error types revealed qualitative differences between the two groups. In particular, FTDpatients displayed features associated with frontal lobe dysfunction, such as concrete thought, perseveration, confabulation, and poor organisation, which disrupted performance across the range of neuropsychological tests. CONCLUSIONS: Numerical scores on neuropsychological tests alone are of limited value in differentiating FTD and Alzheimer's disease, but performance characteristics and error types enhance the distinction between the two disorders. FTD is associated with a profound behavioural syndrome that affects performance on cognitive assessment, obscuring group differences. Qualitative information should be included in neuropsychological research and clinical assessments.
Authors: D Neary; J S Snowden; R A Shields; A W Burjan; B Northen; N MacDermott; M C Prescott; H J Testa Journal: J Neurol Neurosurg Psychiatry Date: 1987-09 Impact factor: 10.154
Authors: Christopher Kobylecki; Matthew Jones; Jennifer C Thompson; Anna M Richardson; David Neary; David M A Mann; Julie S Snowden; Alexander Gerhard Journal: J Neurol Date: 2015-02-07 Impact factor: 4.849
Authors: Katherine L Possin; Dana Feigenbaum; Katherine P Rankin; Glenn E Smith; Adam L Boxer; Kristie Wood; Sherrie M Hanna; Bruce L Miller; Joel H Kramer Journal: Neurology Date: 2013-05-08 Impact factor: 9.910
Authors: Stefan Van der Stigchel; Jeroen de Bresser; Rutger Heinen; Huiberdina L Koek; Yael D Reijmer; Geert Jan Biessels; Esther van den Berg Journal: Dement Geriatr Cogn Disord Date: 2018-08-24 Impact factor: 2.959
Authors: Christopher Kobylecki; Alexander Gerhard; Jennifer C Thompson; David Hughes; Kieran O'Driscoll Journal: J Neurol Date: 2013-02-09 Impact factor: 4.849
Authors: Amanda K Lamarre; Katya Rascovsky; Alan Bostrom; Parnian Toofanian; Sarah Wilkins; Sharon J Sha; David C Perry; Zachary A Miller; Georges Naasan; Robert Laforce; Jayne Hagen; Leonel T Takada; Maria Carmela Tartaglia; Gail Kang; Douglas Galasko; David P Salmon; Sarah Tomaszewski Farias; Berneet Kaur; John M Olichney; Lovingly Quitania Park; Mario F Mendez; Po-Heng Tsai; Edmond Teng; Bradford Clark Dickerson; Kimiko Domoto-Reilly; Scott McGinnis; Bruce L Miller; Joel H Kramer Journal: Neurology Date: 2013-05-01 Impact factor: 9.910
Authors: Rochelle E Tractenberg; Gerda Fillenbaum; Paul S Aisen; David E Liebke; Futoshi Yumoto; Maragatha N Kuchibhatla Journal: Curr Gerontol Geriatr Res Date: 2010-05-26