Online administration of the ADOS for research with adolescents and adults in response to the pandemic.

This study evaluates an online ADOS-2 Module 4 administration. Adolescents and adults with (n = 24; 7 females) and without (n = 13; 5 females) a history of autism spectrum disorder (ASD) completed the ADOS-2 Module 4 via videoconference. Parents or caregivers completed the Parent/Caregiver Form of the Vineland Adaptive Behavior Scales and the Achenbach Adult Behavior Checklist. The ADOS-2 was reviewed and scored by five trained clinicians and supervised by a senior clinician with established research reliability. The autistic group's scores differed on ADOS total (Calibrated Severity Score, WPS instrument) and domain scores, KSADS domain scores, and Achenbach T-scores. Inter-rater reliability was "moderate" (κ = 0.732), and percentage item-wise agreement was r = 0.69. The online ADOS-2 showed significant convergence with parent-reported assessments of ASD-relevant symptoms and characteristics, suggesting it was a valid assessment. While any online assessments must be used with caution, results suggest that the approach described here could have sufficient validity and reliability to fill the urgent need to assess and evaluate ASD symptomatology, as one component of a thorough clinical evaluation of ASD-related behaviors. LAY SUMMARY: In this exploratory study, we asked whether it was possible to give the ADOS-2 to adolescents and adults in a completely online way. Results showed that expert clinicians agreed on 69% of ADOS-2 items; also, participants with autism had higher scores on all parts of the ADOS-2. The online ADOS-2 scores had strong and significant relationships with parents' reports of friendship and social skills. While we need more research that tests this method, this way of doing the ADOS-2 online may be useful for clinicians and researchers who have an urgent need to evaluate autism during the pandemic.

The interaction of fine motor, gesture, and structural language skills: The case of autism spectrum disorder.

Motor skill differences have been consistently reported in individuals with ASD. Associations between motor skill and social communication skills have been reported in both typical development (TD) and autism spectrum disorder (ASD). The current study extends these findings to characterize performance on a fine motor imitation task, probing skills as a predictor of social and communicative functioning, and co-speech gesture use. These research questions were addressed by a secondary analysis of data collected during a previous study characterizing a cohort of individuals who were diagnosed with ASD in early childhood but lost the autism diagnosis (LAD) by the time of adolescence. Fine motor imitation skills were compared between 14 individuals with LAD, 15 individuals with autism spectrum disorder (ASD), and 12 typically developing (TD) individuals. LAD and TD groups had more advanced fine motor imitation skills than the ASD group, and abilities were significantly associated with ASD symptoms and amount of gesture use (though there was a counterintuitive interaction between group and fine motor skill in the LAD and TD groups only, in which lower motor skills predicted more ASD symptoms; this relationship was of a small effect size and is likely driven by the compressed range of fine motor skills in these two groups). Findings suggest that fine motor skills normalize along with social communication skills and restricted and repetitive behaviors and interests in individuals who lose the ASD diagnosis, and that individuals with better fine motor abilities produce more co-speech gesture.

The real-time fMRI neurofeedback based stratification of Default Network Regulation Neuroimaging data repository.

This data descriptor describes a repository of openly shared data from an experiment to assess inter-individual differences in default mode network (DMN) activity. This repository includes cross-sectional functional magnetic resonance imaging (fMRI) data from the Multi Source Interference Task, to assess DMN deactivation, the Moral Dilemma Task, to assess DMN activation, a resting state fMRI scan, and a DMN neurofeedback paradigm, to assess DMN modulation, along with accompanying behavioral and cognitive measures. We report technical validation from n=125 participants of the final targeted sample of 180 participants. Each session includes acquisition of one whole-brain anatomical scan and whole-brain echo-planar imaging (EPI) scans, acquired during the aforementioned tasks and resting state. The data includes several self-report measures related to perseverative thinking, emotion regulation, and imaginative processes, along with a behavioral measure of rapid visual information processing. Technical validation of the data confirms that the tasks deactivate and activate the DMN as expected. Group level analysis of the neurofeedback data indicates that the participants are able to modulate their DMN with considerable inter-subject variability. Preliminary analysis of behavioral responses and specifically self-reported sleep indicate that as many as 73 participants may need to be excluded from an analysis depending on the hypothesis being tested. The present data are linked to the enhanced Nathan Kline Institute, Rockland Sample and builds on the comprehensive neuroimaging and deep phenotyping available therein. As limited information is presently available about individual differences in the capacity to directly modulate the default mode network, these data provide a unique opportunity to examine DMN modulation ability in relation to numerous phenotypic characteristics.

The preprocessed connectomes project repository of manually corrected skull-stripped T1-weighted anatomical MRI data.

BACKGROUND: Skull-stripping is the procedure of removing non-brain tissue from anatomical MRI data. This procedure can be useful for calculating brain volume and for improving the quality of other image processing steps. Developing new skull-stripping algorithms and evaluating their performance requires gold standard data from a variety of different scanners and acquisition methods. We complement existing repositories with manually corrected brain masks for 125 T1-weighted anatomical scans from the Nathan Kline Institute Enhanced Rockland Sample Neurofeedback Study. FINDINGS: Skull-stripped images were obtained using a semi-automated procedure that involved skull-stripping the data using the brain extraction based on nonlocal segmentation technique (BEaST) software, and manually correcting the worst results. Corrected brain masks were added into the BEaST library and the procedure was repeated until acceptable brain masks were available for all images. In total, 85 of the skull-stripped images were hand-edited and 40 were deemed to not need editing. The results are brain masks for the 125 images along with a BEaST library for automatically skull-stripping other data. CONCLUSION: Skull-stripped anatomical images from the Neurofeedback sample are available for download from the Preprocessed Connectomes Project. The resulting brain masks can be used by researchers to improve preprocessing of the Neurofeedback data, as training and testing data for developing new skull-stripping algorithms, and for evaluating the impact on other aspects of MRI preprocessing. We have illustrated the utility of these data as a reference for comparing various automatic methods and evaluated the performance of the newly created library on independent data.

A survey of nonmedical use of tranquilizers, stimulants, and pain relievers among college students: patterns of use among users and factors related to abstinence in non-users.

BACKGROUND: This study examined lifetime non-medical prescription drug use among college students at a small liberal arts college in the Northeast. We assessed the motives, frequency of use, sources, and perceived emotional/physical risks of nonmedical prescription drugs. Specifically, we examined the non-medical use of prescription pain relievers, stimulants, and anti-anxiety medication. METHODS: We sent an internet-based survey to 1/3 of the student body and 303 students completed the survey. RESULTS: We found that 36.8% of the sample reported using prescription drugs for non-medical purposes. First-year students were less likely to have used the drugs than those in other class years. Of those reporting use, 48% reported non-medical use of pain relievers, 72.8% reported using stimulants, and 39.8% reported using anti-anxiety medication. The most commonly used pain relievers were Vicodin (hydrocodone/acetaminophen), OxyContin (oxycodone), and codeine (acetaminophen/codeine). The most commonly used stimulants were Adderall (amphetamine/dextroamphetamine) and Ritalin (methylphenidate), while the most commonly used anti-anxiety medication was Xanax (alprazolam). When non-users were asked what factors influenced their choice not to abuse prescription drugs, 82% cited a lack of interest, 61% responded it was due to a fear of damaging their physical health, and 60.1% responded fear of damaging their mental health. CONCLUSION: This study supports recent findings that show widespread non-medical use of prescription drugs among college students. Our report brings a more detailed understanding of the patterns of drug usage, and the factors influencing both drug use in those who use them and abstinence in those who choose not to use them.

A survey of hallucinogenic mushroom use, factors related to usage, and perceptions of use among college students.

BACKGROUND: Recreational usage and attitudes toward psilocybin-containing hallucinogenic mushrooms among college students are seldom explored. METHODS: We surveyed 882 randomly selected undergraduates at Skidmore College in upstate New York and quantified whether participants had ever used psilocybin mushrooms, their attitudes toward the drug, and polydrug use. RESULTS: There were 409 responses and 29.5% of the sample reported psilocybin use. Among users, the mean number of times they reported using mushrooms was 3.4 (mode=1). The top factors cited that influenced their decisions to try hallucinogenic mushrooms for the first time were 'curiosity', 'to achieve a mystical experience', and 'introspection'. Users and non-users had significantly different perceptions of mushrooms: non-users were more likely to say that hallucinogenic mushrooms were addictive and had the potential for abuse than users. Users did not believe that psilocybin negatively impacts their academics, mental health, or physical health, while non-users did. Both users and non-users of psilocybin reported high life-time use of alcohol (97% vs 96%, respectively), marijuana (98% vs 73%, respectively) and tobacco (82% vs 54%, respectively). Psilocybin users were significantly more likely to use other drugs such as cocaine, ecstasy, opiates, non-prescribed prescription drugs, opiates, and lysergic acid diethylamide (LSD) than non-users of psilocybin. CONCLUSION: This study uncovers important insights into hallucinogenic mushroom use by college students.