Objective: To quantify goal-directed behavior and ADHD symptoms in naturalistic conditions, we developed a virtual reality task, EPELI (Executive Performance in Everyday LIving), and tested its predictive, discriminant and concurrent validity. Method: We collected EPELI data, conventional neuropsychological task data, and parent-ratings of executive problems and symptoms in 38 ADHD children and 38 typically developing controls. Results: EPELI showed predictive validity as the ADHD group exhibited higher percentage of irrelevant actions reflecting lower attentional-executive efficacy and more controller movements and total game actions, both indicative of hyperactivity-impulsivity. Further, the five combined EPELI measures showed excellent discriminant validity (area under curve 88 %), while the correlations of the EPELI efficacy measure with parent-rated executive problems (r = .57) and ADHD symptoms (r = .55) pointed to its concurrent validity. Conclusion: We provide a proof-of-concept validation for a new virtual reality tool for ecologically valid assessment of ADHD symptoms.
Shwachman-Diamond syndrome (SDS) is an autosomal recessive condition that results from mutations in the SBDS gene, at chromosome 7q11. Main features include exocrine pancreatic failure, neutropenia and skeletal dysplasia. This study investigated brain structures by magnetic resonance imaging (MRI) in patients with SDS. MRI of the brain was performed in nine patients (7 males, age range 7-37 years) with SDS and mutations in the SBDS gene and in 18 age- and gender-matched controls. MRI images were assessed visually, and volumetric analyses of the brain matter and structural midsagittal measurements were performed. Eight out of nine SBDS mutation-verified patients reported learning difficulties. Patients with SDS had smaller occipitofrontal head circumferences than the controls (Z-score -1.3 vs. +0.3, P = 0.021), and decreased global brain volume (1.74 L vs. 1.94 L, P = 0.019); both gray matter (P = 0.042) and white matter (P = 0.007) volumes were reduced. Patients with SDS had no macroscopic brain malformations, but they had significantly smaller age- and head size-adjusted areas of posterior fossa (P = 0.006), vermis (P = 0.002), corpus callosum (P = 0.020), and pons (P = 0.002), and significantly larger cerebrum-vermis ratio (P < 0.0001) than the healthy controls. SDS patients had structurally smaller posterior fossa and cerebellar vermis, corpus callosum, and brainstem than the healthy controls. The MRI findings may be related to the neuropsychological features described in SDS.
Eye movements and other rich data obtained in virtual reality (VR) environments resembling situations where symptoms are manifested could help in the objective detection of various symptoms in clinical conditions. In the present study, 37 children with attention deficit hyperactivity disorder and 36 typically developing controls (9–13 y.o) played a lifelike prospective memory game using head-mounted display with inbuilt 90 Hz eye tracker. Eye movement patterns had prominent group differences, but they were dispersed across the full performance time rather than associated with specific events or stimulus features. A support vector machine classifier trained on eye movement data showed excellent discrimination ability with 0.92 area under curve, which was significantly higher than for task performance measures or for eye movements obtained in a visual search task. We demonstrated that a naturalistic VR task combined with eye tracking allows accurate prediction of attention deficits, paving the way for precision diagnostics.
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