1,721,037 research outputs found
Methylphenidate for pervasive developmental disorders: safety and efficacy of acute single dose test and ongoing therapy: an open-pilot study
No full textLong-term risperidone for pervasive developmental disorder: efficacy, tolerability, and discontinuation
No full textTo investigate the safety (e.g., weight gain, liver function, extrapyramidal side effects, and seizures) and efficacy of the long-term use of risperidone in children and adolescents and to ascertain the effects of drug withdrawal in a semi-naturalistic prospective, subjects with autism or pervasive developmental disorders not otherwise specified (PDDNOS) were treated with risperidone for 6 months after which parents were given the option of continuing for a further 6 months (final assessment at 12 months). Behavioral rating included Childhood Autism Rating Scale (CARS), Child Psychiatric Rating Scale (CPRS), Clinical Global Impression (CGI), and Child-Global Assessment Scale (C-GAS). Risperidone significantly ameliorated behavioral symptoms of PDD in 10 out of 11 subjects, with the effects on core symptoms being of smaller amplitude and of slower onset. No loss of effectiveness was observed in patients who continued risperidone for 12 months, while a relapse of associated behavioral symptoms occurred in the others. Weight gain was common, although the rate of increase lessened over a period of time; after drug withdrawal, considerable weight loss was observed in the patient who had previously shown the most significant increase. After 6 months of therapy, two patients developed facial dystonia: this disappeared after reducing dosage in one case, after drug discontinuation in the other. Amenorrhea was also observed, but no changes in liver function, blood tests or EEG were reported. The data indicate that risperidone is an effective and relatively safe drug for long term treatment of behavioral disruption in autistic children and adolescents
Locomotor activity measures in the diagnosis of attention deficit hyperactivity disorder: meta-analyses and new findings
No full textIntroductionOur aim was to assess differences in movement measures in attention-deficit/hyperactivity disorder (ADHD) vs. typically developing (TD) controls.MethodsWe performed meta-analyses of published studies on motion measures contrasting ADHD with controls. We also conducted a case–control study with children/adolescents (n = 61 TD, n = 62 ADHD) and adults (n = 30 TD, n = 19 ADHD) using the McLean motion activity test, semi-structured diagnostic interviews and the behavior rating inventory of executive function and Conners (parent, teacher; self) rating scales.ResultsMeta-analyses revealed medium-to-large effect sizes for actigraph (standardized mean difference [SMD]: 0.64, 95% confidence interval (CI): 0.43, 0.85) and motion tracking systems (SDM: 0.92, 95% CI: 0.65, 1.20) measures in differentiating individuals with ADHD from controls. Effects sizes were similar in studies of children/adolescents ([SMD]: 0.75, 95% CI: 0.50, 1.01) and of adults ([SMD]: 0.73, 95% CI: 0.46, 1.00). In our sample, ADHD groups differed significantly in number of head movements (p = 0.02 in children; p = 0.002 in adults), displacement (p = 0.009/p < 0.001), head area (p = 0.03/p < 0.001), spatial complexity (p = 0.06/p = 0.02) and temporal scaling (p = 0.05/p = 0.04). Mean effect sizes were non-significantly larger (d = 0.83, 95% CI: 0.20, 1.45) in adults vs. children/adolescents with ADHD (d = 0.45, 95% CI: 0.08, 0.82). In the concurrent go/no-go task, reaction time variability was significantly greater in ADHD (p < 0.05 in both age groups) than controls.ConclusionsLocomotor hyperactivity remains core to the construct of ADHD even in adults. Our results suggest that objective locomotion measures may be particularly useful in evaluating adults with possible ADHD.<br/
[HTML] from nih.gov Title Functional brain correlates of social and nonsocial processes in autism spectrum disorders: an activation likelihood estimation meta-analysis
No full text[HTML] from oxfordjournals.org Title The balance between feeling and knowing: affective and cognitive empathy are reflected in the brain's intrinsic functional dynamics
No full textDimensional Brain-Behavior Relationships in Children with Attention-Deficit/Hyperactivity Disorder
No full textBackground: Emerging neuroscientific and genetic findings emphasize the dimensional rather than the categorical aspects of psychiatric disorders. However, the integration of dimensional approaches within the current categorical diagnostic framework remains unclear. Here, we used resting state functional magnetic resonance imaging to examine whether dimensional measures of psychiatric symptomatology capture brain-behavior relationships unaccounted for by categorical diagnoses. Additionally, we examined whether dimensional brain-behavior relationships are modified by the presence of a categorically defined illness, attention-deficit/hyperactivity disorder (ADHD).
Methods: Resting state functional magnetic resonance imaging scans were collected from 37 typically developing children (aged 10.2 +/- 2; 21 female subjects) and 37 children meeting DSM-IV Text Revision criteria for ADHD(9.7 +/- 2; 11 female subjects). Parent-rated Child Behavior Checklist Externalizing and Internalizing scores served as dimensional measures in our analyses of default network (DN) resting state functional connectivity (RSFC).
Results: Regardless of diagnosis, we observed several significant relationships between DN RSFC and both internalizing and externalizing scores. Increased internalizing scores were associated with stronger positive intra-DN RSFC, while increased externalizing scores were associated with reduced negative RSFC between DN and task-positive regions such as dorsal anterior cingulate cortex. Several of these brain-behavior relationships differed depending on the categorical presence of ADHD.
Conclusions: Our findings suggest that while categorical diagnostic boundaries provide an inadequate basis for understanding the pathophysiology of psychiatric disorders, psychiatric illness cannot be viewed simply as an extreme of typical neural or behavioral function. Efforts to understand the neural underpinnings of psychiatric illness should incorporate both categorical and dimensional clinical assessments
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Preliminary evidence of altered gray and white matter microstructural development in the frontal lobe of adolescents with attention‐deficit hyperactivity disorder: A diffusional kurtosis imaging study
No full textPurpose To investigate non-Gaussian water diffusion using diffusional kurtosis imaging (DKI) to assess age effects on gray matter (GM) and white matter (WM) microstructural changes in the prefrontal cortex (PFC) of adolescents with attention-deficit hyperactivity disorder (ADHD) compared to typically developing controls (TDC). Materials and Methods In this preliminary cross-sectional study, T1-weighted magnetization-prepared rapid gradient echo (MPRAGE) and DKI images were acquired at 3T from TDC (n = 13) and adolescents with ADHD (n = 12). Regression analysis of the PFC region of interest (ROI) was conducted. Results TDC show a significant kurtosis increase of WM microstructural complexity from 12 to 18 years of age, particularly in the radial direction, whereas WM microstructure in ADHD is stagnant in both the axial and radial directions. In ADHD, GM microstructure also lacked a significant age-related increase in complexity as seen in TDC; only kurtosis measures were able to detect this difference. Conclusion These findings support the prevailing theory that ADHD is a disorder affecting frontostriatal WM. Our study is the first to directly quantify an aberrant age-related trajectory in ADHD within GM microstructure, suggesting that the assessment of non-Gaussian directional diffusion using DKI provides more sensitive and complementary information about tissue microstructural changes than conventional diffusion imaging methods
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