Intensive assessment of executive functions derived from performance in cognitive training games
Natalia Soldevila-Domenech,
Ilario De Toma,
Laura Forcano,
Patrícia Diaz-Pellicer,
Aida Cuenca-Royo,
Beatriz Fagundo,
Thais Lorenzo,
Maria Gomis-Gonzalez,
Gonzalo Sánchez-Benavides,
Karine Fauria,
Carolina Sastre,
Íñigo Fernandez De Piérola,
José Luis Molinuevo,
Antonio Verdejo-Garcia,
Rafael de la Torre
Affiliations
Natalia Soldevila-Domenech
Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Department of Medicine and Life Sciences, Pompeu Fabra University, Barcelona, Spain
Ilario De Toma
Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
Laura Forcano
Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
Patrícia Diaz-Pellicer
Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Department of Medicine and Life Sciences, Pompeu Fabra University, Barcelona, Spain
Aida Cuenca-Royo
Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
Beatriz Fagundo
Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
Thais Lorenzo
Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Department of Medicine and Life Sciences, Pompeu Fabra University, Barcelona, Spain
Maria Gomis-Gonzalez
Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
Gonzalo Sánchez-Benavides
Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
Karine Fauria
Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
Carolina Sastre
NeuronUP SL, Logroño, La Rioja, Spain
Íñigo Fernandez De Piérola
NeuronUP SL, Logroño, La Rioja, Spain
José Luis Molinuevo
Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
Antonio Verdejo-Garcia
School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
Rafael de la Torre
Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Department of Medicine and Life Sciences, Pompeu Fabra University, Barcelona, Spain; CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Corresponding author
Summary: Traditional neuropsychological tests accurately describe the current cognitive state but fall short to characterize cognitive change over multiple short time periods. We present an innovative approach to remote monitoring of executive functions on a monthly basis, which leverages the performance indicators from self-administered computerized cognitive training games (NUP-EXE). We evaluated the measurement properties of NUP-EXE in N = 56 individuals (59% women, 60–80 years) at increased risk of Alzheimer’s disease (APOE-ϵ4 carriers with subjective cognitive decline) who completed a 12-month multimodal intervention for preventing cognitive decline. NUP-EXE presented good psychometric properties and greater sensitivity to change than traditional tests. Improvements in NUP-EXE correlated with improvements in functionality and were affected by participants’ age and gender. This novel data collection methodology is expected to allow a more accurate characterization of an individual’s response to a cognitive decline preventive intervention and to inform development of outcome measures for a new generation of intervention trials.