L M Jonkman1, J L Kenemans, C Kemner, M N Verbaten, H van Engeland. 1. Department of Neurocognition, Faculty of Psychology, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands. l.jonkman@psychology.unimaas.nl
Abstract
OBJECTIVE: This study was aimed at investigating whether attention-deficit hyperactivity disorder (ADHD) children suffer from specific early selective attention deficits in the visual modality with the aid of event-related brain potentials (ERPs). Furthermore, brain source localization was applied to identify brain areas underlying possible deficits in selective visual processing in ADHD children. METHODS: A two-channel visual color selection task was administered to 18 ADHD and 18 control subjects in the age range of 7-13 years and ERP activity was derived from 30 electrodes. RESULTS: ADHD children exhibited lower perceptual sensitivity scores resulting in poorer target selection. The ERP data suggested an early selective-attention deficit as manifested in smaller frontal positive activity (frontal selection positivity; FSP) in ADHD children around 200 ms whereas later occipital and fronto-central negative activity (OSN and N2b; 200-400 ms latency) appeared to be unaffected. Source localization explained the FSP by posterior-medial equivalent dipoles in control subjects, which may reflect the contribution of numerous surrounding areas. CONCLUSIONS: ADHD children have problems with selective visual processing that might be caused by a specific early filtering deficit (absent FSP) occurring around 200 ms. The neural sources underlying these problems have to be further identified. Source localization also suggested abnormalities in the 200-400 ms time range, pertaining to the distribution of attention-modulated activity in lateral frontal areas.
OBJECTIVE: This study was aimed at investigating whether attention-deficit hyperactivity disorder (ADHD) children suffer from specific early selective attention deficits in the visual modality with the aid of event-related brain potentials (ERPs). Furthermore, brain source localization was applied to identify brain areas underlying possible deficits in selective visual processing in ADHDchildren. METHODS: A two-channel visual color selection task was administered to 18 ADHD and 18 control subjects in the age range of 7-13 years and ERP activity was derived from 30 electrodes. RESULTS:ADHDchildren exhibited lower perceptual sensitivity scores resulting in poorer target selection. The ERP data suggested an early selective-attention deficit as manifested in smaller frontal positive activity (frontal selection positivity; FSP) in ADHDchildren around 200 ms whereas later occipital and fronto-central negative activity (OSN and N2b; 200-400 ms latency) appeared to be unaffected. Source localization explained the FSP by posterior-medial equivalent dipoles in control subjects, which may reflect the contribution of numerous surrounding areas. CONCLUSIONS:ADHDchildren have problems with selective visual processing that might be caused by a specific early filtering deficit (absent FSP) occurring around 200 ms. The neural sources underlying these problems have to be further identified. Source localization also suggested abnormalities in the 200-400 ms time range, pertaining to the distribution of attention-modulated activity in lateral frontal areas.
Authors: Estate M Sokhadze; Joshua M Baruth; Lonnie Sears; Guela E Sokhadze; Ayman S El-Baz; Emily Williams; Robert Klapheke; Manuel F Casanova Journal: J Neurother Date: 2012-03-02
Authors: Po-He Tseng; Ian G M Cameron; Giovanna Pari; James N Reynolds; Douglas P Munoz; Laurent Itti Journal: J Neurol Date: 2012-08-25 Impact factor: 4.849
Authors: Tatyana Y Zhuravleva; Brittany R Alperin; Anna E Haring; Dorene M Rentz; Philip J Holcomb; Kirk R Daffner Journal: J Clin Neurophysiol Date: 2014-06 Impact factor: 2.177
Authors: Emanuel Bubl; Michael Dörr; Alexandra Philipsen; Dieter Ebert; Michael Bach; Ludger Tebartz van Elst Journal: PLoS One Date: 2013-05-02 Impact factor: 3.240
Authors: María Ángeles Rojas-Benjumea; Ana María Sauqué-Poggio; Catarina I Barriga-Paulino; Elena I Rodríguez-Martínez; Carlos M Gómez Journal: Behav Brain Funct Date: 2015-07-04 Impact factor: 3.759