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2016
DOI: 10.1016/j.biopsycho.2016.04.064
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Cognitive endophenotypes of attention deficit/hyperactivity disorder and intra-subject variability in patients with autism spectrum disorder

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Cited by 14 publications
(27 citation statements)
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“…These data are in line with attentional and cognitive features in developmental diseases, including ADHD and ASD syndromes. 33 , 34 In the fear conditioning test, the baseline levels of immobility during habituation to the conditioning cages was lower in Ptchd1 mutants as compared with WT ( P <0.01), supporting the hyperactivity observed in the other behavioural tests ( Figure 3h ). When animals were tested 24 h after conditioning either in the same context or in a new one, Ptchd1 −/y males showed significantly decreased contextual freezing performance ( P <0.01) and tended to have decreased cued freezing performance ( P =0.07; Figure 3h ).…”
Section: Resultssupporting
confidence: 58%
See 1 more Smart Citation
“…These data are in line with attentional and cognitive features in developmental diseases, including ADHD and ASD syndromes. 33 , 34 In the fear conditioning test, the baseline levels of immobility during habituation to the conditioning cages was lower in Ptchd1 mutants as compared with WT ( P <0.01), supporting the hyperactivity observed in the other behavioural tests ( Figure 3h ). When animals were tested 24 h after conditioning either in the same context or in a new one, Ptchd1 −/y males showed significantly decreased contextual freezing performance ( P <0.01) and tended to have decreased cued freezing performance ( P =0.07; Figure 3h ).…”
Section: Resultssupporting
confidence: 58%
“…We replicated cognitive deficits (fear conditioning deficits) previously reported 13 and also found working memory deficits, which is supposed to be an attentional-dependent ability, altered in ADHD/ASD conditions. 33 , 34 Finally our data evidenced for the first time that Ptchd1 deletion in female mice also caused ADHD-like hyperactive behaviour and learning and memory deficits.…”
Section: Discussionsupporting
confidence: 53%
“…The mean and the standard deviation of the Gaussian part are denoted µ and σ, while the exponential part is reflected by the parameter τ, which is closely related to the thickness of the tail and characterizes rather long RTs (for a more detailed description and a graphical illustration see [15], p. 429). This model has repeatedly been shown to adequately describe empirical data in a number of paradigms [16,17] and to differentiate clinical groups with increased ISV from controls [14,18]. Less clear, however, is the theoretical interpretation of the ex-Gaussian parameters.…”
Section: Introductionmentioning
confidence: 98%
“…Cognitive decline with the age, both in the normal aging and in the pathological manifestations in form of dementia, is an important public health and social challenge. Individual variability of cognitive functions is an important endophenotype of many neurodegenerative, psychiatric, and mental diseases, such as schizophrenia (SZ) [ 1 ], Alzheimer's diseases (AD) [ 2 ], bipolar disorder [ 3 ], and attention-deficit hyperactivity disorder [ 4 ]. Recent genome-wide association studies (GWAS) have revealed dozens of single nucleotide polymorphisms (SNPs) associated with a cognitive performance in SZ or AD patients, as well as in normal healthy subjects [ 5 10 ].…”
Section: Introductionmentioning
confidence: 99%