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MOTOR AND COGNITIVE ABNORMALITIES IN SCHIZOPHRENIA
Mirela Manea
出版
2017
URL
http://books.google.com.hk/books?id=Vg-5zQEACAAJ&hl=&source=gbs_api
註釋
MOTOR AND COGNITIVE ABNORMALITIES IN SCHIZOPHRENIAHopulele-Petri A, Manea M.11. u201cCarol Davilau201d University Of Medicine and Pharmacy, Buchrest, RomaniaBACKGROUND AIMS: Motor abnormalities have been signaled in schizophrenia (Peralta et al. 2010, Walther & Strik 2012), from neurological soft signs (NSS) (Sewel et. Al. 2010), to bradykinesia (Morrens, 2007), with the former even suggested as an endophenotypic marker (Chan et. Al 2010). Cognitive rigidity, demonstrated in cognitively perseverant schizophrenic patients, has also been found in other neurological, dopaminergic disorders, like Parkinsonu2019s (Cools et. Al. 2001), a disease whose symptoms share some overlap with the negative symptoms in schizophrenia (Winograd-Gurvich 2006). The Aims of our current study consisted of evaluating the relationship between motor symptoms, cognitive flexibility and clinical symptoms in a patient population.METHOD: Inclusion criteria represented a diagnosis of schizophrenia according to DSM-V criteria, while exclusion criteria consisted of any neurological disorder aside from neuroleptic-induced parkinsonism (i.g. stroke). Neurological soft signs (NSS) were assessed using the Brief Motor scale (BMS). Motor speed and imagery were assessed using the TimeUpAndGo! Task, and the imaginary version (iTUG) version (the version by Beauchet et al 2010). Cognitive flexibility was measured using a set-shifting paradigm, which was assessed using a computerized short-form version of the Berg Card Sorting test (Berg Card Sorting Test 64). Anticholinergic burden of medication was assessed using the ABC method by Gorup et. Al (2018), while neuroleptic burden was assessed using the Daily Dose Method (DDD) by Leucht (2016). Epidemiological data regarding age, age of onset, duration of illness was also recorded. Statistical analysis was performed using SPSS.RESULTS: As seen in Table 1, statistically significant results at the .01 level were found between negative symptoms and motor coordination (MOCO, r=.51) as well as total BMS score (BMST, r=.51). Meanwhile, Disorganization symptoms were significantly and moderately corelated with both coordination (MOCO, r=.55) and sequencing (MOSE, r=.62) as well as total score. Interestingly, positive symptoms were corelated only with the imaginary Time Up and Go! Task (iTUG, r=-50), while excitability symptoms with delta TUG time (the difference between TUG and iTUG time, in milliseconds, r=.62, p