This trial is promising, but further studies are required to evaluate the long-term clinical effectiveness of hippotherapy. The study is registered with ClinicalTrials.gov, number NCT 02482649.

No abstract

Methylphenidate is a first-line therapeutic option for treating attention-deficit/hyperactivity disorder (ADHD); however, elicited changes on resting-state functional networks (RSFNs) are not well understood. This study investigated the treatment effect of methylphenidate using a variety of RSFN analyses and explored the collaborative influences of treatment-relevant RSFN changes in children with ADHD. Resting-state functional magnetic resonance imaging was acquired from 20 medication-naïve ADHD children before methylphenidate treatment and twelve weeks later. Changes in large-scale functional connectivity were defined using independent component analysis with dual regression and graph theoretical analysis. The amplitude of low frequency fluctuation (ALFF) was measured to investigate local spontaneous activity alteration. Finally, significant findings were recruited to random forest regression to identify the feature subset that best explains symptom improvement. After twelve weeks of methylphenidate administration, large-scale connectivity was increased between the left fronto-parietal RSFN and the left insula cortex and the right fronto-parietal and the brainstem, while the clustering coefficient (CC) of the global network and nodes, the left fronto-parietal, cerebellum, and occipital pole-visual network, were decreased. ALFF was increased in the bilateral superior parietal cortex and decreased in the right inferior fronto-temporal area. The subset of the local and large-scale RSFN changes, including widespread ALFF changes, the CC of the global network and the cerebellum, could explain the 27.1% variance of the ADHD Rating Scale and 13.72% of the Conner's Parent Rating Scale. Our multivariate approach suggests that the neural mechanism of methylphenidate treatment could be associated with alteration of spontaneous activity in the superior parietal cortex or widespread brain regions as well as functional segregation of the large-scale intrinsic functional network.

Adverse effects of atypical antipsychotics (AAP) can include obsessive-compulsive (OC) symptoms. Based on biological evidence of the relationship between the glutamatergic system and both OC disorder and AAP, this study aimed to determine whether DLGAP3, coding a post-synaptic scaffolding protein of glutamatergic synapses, is associated with AAP-induced OC symptoms. Furthermore, we explored the interactions between DLGAP3 and a previously reported susceptibility gene, the glutamate transporter gene SLC1A1, regarding this phenotype. Subjects were clinically stable schizophrenia patients receiving AAP treatment (n = 94), and they comprised an OC group (n = 40) and a non-OC group (n = 54) (patients with and without AAP-induced OC symptoms, respectively). We performed allelic/genotypic/haplotype association analyses for seven tag single-nucleotide polymorphisms of DLGAP3 and gene-gene interaction analyses with rs2228622 of SLC1A1, observing a nominally significant association between AAP-induced OC symptoms and rs7525948 in both simple chi-square tests and the regression analyses (nominal P < 0.05). In the logistic regression analysis of gene-gene interaction, we found a significant interaction effect of rs7525948 of DLGAP3 and rs2228622 of SLC1A1 (permutation P = 0.036) on AAP-induced OC symptoms, with a 30.2 times higher odds for individuals carrying risk genotypes at both loci in comparison with the reference group, which had no risk genotypes. This study provides suggestive evidence that DLGAP3 and its interactive effect with SLC1A1 might be involved in susceptibility to developing OC symptoms in schizophrenia patients receiving AAP treatment.