Navigating Collaboration: Factors Influencing Special Education Teachers' Relationships with BCBAs in Diverse School Contexts.

This Multiperspectival Interpretative Phenomenological Analysis (MIPA) delves into the nuanced experiences of 20 special education teachers across severe, mild to moderate, and early childhood backgrounds collaborating with Board Certified Behavior Analysts (BCBAs) in school settings. While identifying facilitators and barriers to this collaboration, the study sheds light on factors that contribute to a breakdown in rapport between teachers and BCBAs. Notable challenges include perceived condescension, feelings of blame for intervention shortcomings, and receiving recommendations deemed non-feasible or impractical.

Biomarkers.

Background: The Knight Alzheimer Research Imaging (KARI) dataset, a compilation of data from projects conducted at Washington University in St. Louis, represents a comprehensive effort to advance our understanding of Alzheimer disease (AD) through multimodal data collection. The overarching goal is to characterize normal aging and disease progression to contribute insights into the biological changes preceding AD symptom onset.

Biomarkers.

Background: Autosomal dominant Alzheimer disease (ADAD) is characterized by genetic mutations affecting the beta-amyloid (Aβ) pathway. However, vascular and immune factors play important roles which are not completely understood. Understanding the function of the neurovascular unit (NVU) comprised of neurons, glial cells, and vasculature, at different disease stages appears ideal to developing and evaluating therapeutics.

Biomarkers.

Background: Changes in Amyloid-β (A) and hyperphosphorylated Tau (T) in the brain and cerebrospinal fluid (CSF) precedes AD symptoms, making the CSF proteome a potential avenue to understand disease pathophysiology and facilitate reliable diagnostics and therapies.

Method: We used the Somascan assay for measuring the protein levels of 7,029 analytes in CSF of 2,286 participants from four different cohorts. We employed a three-stage analytical approach (discovery, replication, and meta-analysis).

Biomarkers.

Background: The 18F-AV-1451 radioligand enables in-vivo identification of tau neurofibrillary tangles that are considered as biomarkers of neurodegeneration in Alzheimer Disease (AD). However, off-target radioligand binding is also observed in basal ganglia, known as an iron-rich region. Hence, it is important to distinguish between radioligand-identified tissue neurodegeneration and iron-related radioligand binding effects.