title: Computerized cognitive training interventions to improve neuropsychological outcomes: evidence and future directions.
abstract: Age-related cognitive decline is common and may affect memory, orientation, attention, abstract thinking and perception, which may lead to substantial difficulties and disabilities in everyday life. Much evidence suggests that computerized cognitive training interventions may mitigate decline by improving neuropsychological outcomes in older adults, but there is clearly a need for large-scale, methodologically rigorous comparative effectiveness trials in the area. This article underscores that need and reviews eight trials that met a set of predetermined criteria before highlighting two novel and complementary analytic methods - big data analytics and network meta-analysis - that may be used to facilitate decisions regarding which cognitive training programs should serve as candidate interventions for large comparative effectiveness trials.
authors.affiliation: Veterans Affairs Iowa City Healthcare System, IA, USA.
authors.forename: M Bryant
authors.initials: MB
authors.lastname: Howren
authors.forename: Mark W
authors.initials: MW
authors.lastname: Vander Weg
authors.forename: Fredric D
authors.initials: FD
authors.lastname: Wolinsky
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D003072:Cognition Disorders / Q000534:rehabilitation*; D057186:Comparative Effectiveness Research / Q000379:methods; D003194:Computer-Assisted Instruction / Q000379:methods*; D005500:Follow-Up Studies; D006801:Humans; D009484:Neuropsychology / Q000379:methods*; D016032:Randomized Controlled Trials as Topic / Q000379:methods; D016896:Treatment Outcome