Tower of London test: A comparison between conventional statistic approach and modelling based on artificial neural network in differentiating fronto-temporal dementia from Alzheimer's disease

Behavioural Neurology

Volumn 24, Issue 2, 2011, Pages 149-158

  Franceschi, Massimo ^a   Caffarra, Paolo ^b,c   Savarè, Rita ^d   Cerutti, Renata ^d   Grossi, Enzo ^d   Padovani, A ^e   Nieddu, A ^f   Clerici, F ^g   Bottini, G ^h   Lamenza, F ⁱ   Gambina, G ^j   Magnani, G ^k   Perri, R ^l   Alberoni, M ^m   Gallucci, M ⁿ   Scoppa, F ^o   Lorusso, S ^p   Murialdo, G ^q   Cester, A ^r   Stracciari, A ^s   Appollonio, I ^t   Mina, C ^u   Tripi, G ^v   De Vreese, L P ^w   Monastero, R ^o   more..

^a IRCCS MULTIMEDICA   (Italy)

^b UNIVERSITY OF PARMA   (Italy)

^c UNIVERSITY OF HULL   (United Kingdom)

^d Bracco SpA   (Italy)

^e SPEDALI CIVILI   (Italy)

^f Policlinico Sassarese   (Italy)

^g UNIVERSITY OF MILAN   (Italy)

^h OSPEDALE NIGUARDA CA GRANDA   (Italy)

ⁱ Ospedale Civile   (Italy)

^j UNIVERSITY HOSPITAL OF VERONA   (Italy)

^k SAN RAFFAELE HOSPITAL   (Italy)

^l IRCCS FONDAZIONE SANTA LUCIA   (Italy)

^m Institute of Hospitalization and Care with Scientific Address   (Italy)

ⁿ OSPEDALE CA FONCELLO   (Italy)

^o UNIVERSITY OF PALERMO   (Italy)

^p OSPEDALE DEGLI INFERMI   (Italy)

^q UNIVERSITY OF GENOA   (Italy)

^r Ospedale di Dolo   (Italy)

^s UNIVERSITY OF BOLOGNA   (Italy)

^t SAN GERARDO HOSPITAL   (Italy)

^u POLICLINICO UMBERTO I   (Italy)

^v Cittadella della Salute   (Italy)

^w Ospedale di Castelfranco Emilia   (Italy)

more..

Author keywords

Alzheimer's disease; executive functions; frontotemporal dementia; neuropsychology; Tower of London

Indexed keywords

AGED; ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; DIFFERENTIAL DIAGNOSIS; FEMALE; FRONTOTEMPORAL DEMENTIA; FUNCTIONAL ASSESSMENT; HUMAN; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; SCORING SYSTEM; STATISTICAL ANALYSIS; STATISTICAL MODEL; TOWER OF LONDON TEST;

EID: 79959219126     PISSN: 09534180     EISSN: 18758584     Source Type: Journal    
DOI: 10.1155/2011/754659     Document Type: Article

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