Processing neural activity to reconstruct network connectivity is a central focus of neuroscience, yet the spatiotemporal requisites of biological nervous systems are challenging for current neuronal sensing modalities.
Slide of the Week
Bernadette Gillick, PhD, MSPT, PT – Slide of the Week
Evidence-based assessment pathways inform early detection of cerebral palsy and access to intervention.
Karla Ausderau, PhD – Slide of the Week
Autistic children experience high rates of feeding challenges, negatively affecting their health, eating patterns, and social eating experiences.
Su-Chun Zhang, MD, PhD – Slide of the Week
Probing how human neural networks operate is hindered by the lack of reliable human neural tissues amenable to the dynamic functional assessment of neural circuits.
Peter Ferrazzano, MD – Slide of the Week
Traumatic brain injury (TBI) is a leading cause of death and disability in children, and predicting functional outcome after TBI is challenging.
Maureen S. Durkin, PhD, DrPH – Slide of the Week
Prior literature has explored the prevalence of motor impairments in autistic individuals, but estimates come from clinical samples, convenience samples, or small sample sizes, limiting generalizability
Haley Dresang, PhD – Slide of the Week
Language users rely on both linguistic and conceptual processing abilities to efficiently comprehend or produce language.
Leann Smith DaWalt, PhD – Slide of the Week
Autistic adults experience challenges in maintaining employment; however, little is known about patterns of competitive employment through late midlife. This longitudinal study examined the change in hours of competitive employment for a cohort of autistic adults over a 22-year period.
Rebecca Alper, PhD – Slide of the Week
Identifying modifiable sources of variability in early interaction quality is critical to determining intervention need, developing effective caregiver coaching, and improving outcomes.
Doug Dean III, PhD – Slide of the Week
Diffusion MRI (dMRI) is a widely used method to investigate the microstructure of the brain. Quality control (QC) of dMRI data is an important processing step that is performed prior to analysis using models such as diffusion tensor imaging (DTI) or neurite orientation dispersion and density imaging (NODDI).