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1.
bioRxiv ; 2024 Jan 29.
Article in English | MEDLINE | ID: mdl-38352614

ABSTRACT

Sensory processing dysfunction not only affects most individuals with autism spectrum disorder (ASD), but at least 5% of children without ASD also experience dysfunctional sensory processing. Our understanding of the relationship between sensory dysfunction and resting state brain activity is still emerging. This study compared long-range resting state functional connectivity of neural oscillatory behavior in children aged 8-12 years with autism spectrum disorder (ASD; N=18), those with sensory processing dysfunction (SPD; N=18) who do not meet ASD criteria, and typically developing control participants (TDC; N=24) using magnetoencephalography (MEG). Functional connectivity analyses were performed in the alpha and beta frequency bands, which are known to be implicated in sensory information processing. Group differences in functional connectivity and associations between sensory abilities and functional connectivity were examined. Distinct patterns of functional connectivity differences between ASD and SPD groups were found only in the beta band, but not in the alpha band. In both alpha and beta bands, ASD and SPD cohorts differed from the TDC cohort. Somatosensory cortical beta-band functional connectivity was associated with tactile processing abilities, while higher-order auditory cortical alpha-band functional connectivity was associated with auditory processing abilities. These findings demonstrate distinct long-range neural synchrony alterations in SPD and ASD that are associated with sensory processing abilities. Neural synchrony measures could serve as potential sensitive biomarkers for ASD and SPD.

2.
PLoS One ; 16(2): e0246449, 2021.
Article in English | MEDLINE | ID: mdl-33539468

ABSTRACT

The goal of this study was to test for long-term benefits three years after the completion of a cognitive training intervention (Project: EVO™) in a subset of children with Sensory Processing Dysfunction (SPD). Our initial findings revealed that children with SPD who also met research criteria for Attention Deficit Hyperactivity Disorder (SPD+IA) showed a significant decrease in parent-observed inattentive behaviors, which remained stable in a nine-month follow-up assessment. Forty nine caregivers of participants who completed the Project: EVO™ training were contacted to be included in this follow up study. Each was emailed an invitation to complete the Vanderbilt ADHD Diagnostic Parent Rating Scale, which yielded a completion rate of 39/49 (80%). A Generalized Estimating Equations analysis was used to assess changes in symptoms over time, specifically to determine whether the initial improvements were retained. The SPD+IA cohort continued to show sustained benefits on their parent-reported scores of inattention, with 54% of SPD+IA individuals no longer meeting criteria for ADHD three years following intervention. These findings provide initial insights into the potential long-term benefits of a digital health intervention for children with attention-based issues.


Subject(s)
Attention Deficit Disorder with Hyperactivity/therapy , Cognition Disorders/therapy , Adolescent , Attention , Attention Deficit Disorder with Hyperactivity/psychology , Cognition , Cognition Disorders/psychology , Cognitive Behavioral Therapy , Female , Follow-Up Studies , Humans , Male , Pilot Projects , Sensation
3.
J Atten Disord ; 23(7): 744-753, 2019 May.
Article in English | MEDLINE | ID: mdl-28974127

ABSTRACT

OBJECTIVE: Atomoxetine has several characteristics that make it an attractive alternative to stimulants for treating ADHD, but there are currently no tests identifying individuals for whom the medication should be a first-line option. METHOD: Within the ADHD Controlled Trial Investigation Of a Non-stimulant (ACTION) study, we examined neuro-cortical activity in 52 youth with ADHD. Baseline event-related potentials (ERP) were compared between those who subsequently responded to 6 weeks of atomoxetine versus those who did not. RESULTS: Responders were distinguished by significantly lower auditory oddball N2 amplitudes than both non-responders and typically developing controls, particularly in the right frontocentral region ( p = .002, Cohen's d = 1.1). Leave-one-out cross validation determined that N2 amplitude in this region was able to accurately predict non-responders with a specificity of 80.8%. There were no P3 differences between responders and non-responders. CONCLUSION: The N2 amplitude is a biomarker that may have utility in predicting response to atomoxetine for youth with ADHD.


Subject(s)
Adrenergic Uptake Inhibitors/therapeutic use , Atomoxetine Hydrochloride/therapeutic use , Attention Deficit Disorder with Hyperactivity/drug therapy , Attention , Evoked Potentials/drug effects , Adolescent , Biomarkers , Brain Mapping/methods , Central Nervous System Stimulants/therapeutic use , Child , Cross-Over Studies , Double-Blind Method , Electroencephalography/methods , Female , Humans , Male , Sensitivity and Specificity
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