NeurologyLive® Friday 5 — July 24, 2026

Welcome to NeurologyLive^®'s Friday 5! Every week, the staff compiles 5 highlights of NeurologyLive's widespread coverage in neurology, ranging from newsworthy study findings and FDA action to expert interviews and peer-to-peer panel discussions.

Click the read more or watch now buttons for more details and information about each highlight.

1: Highlighting Gaps in Testing and Diagnosis for Fragile X Syndrome: Craig A. Erickson, MD

In a recent interview, Craig A. Erickson, MD, professor of psychiatry at Cincinnati Children's Hospital, outlined where testing for the disorder still falls short, in honor of Fragile X Syndrome Awareness Day, held annually on July 22, [WATCH TIME: 6 minutes]

2: Contextualizing Lecanemab’s New Subcutaneous Weekly Starting Dose

In a recent Q&A, Laura Nisenbaum, PhD, Interim Chief Science Officer at the Alzheimer's Drug Discovery Foundation, shares her perspective on the FDA's approval of a subcutaneous starting dose for lecanemab and what it means for access, clinical practice, and the future of Alzheimer disease treatment.

3: Evaluating the Impact of Oveporexton in Phase 3 Studies for Narcolepsy Type 1: Elena Koundourakis, PhD

In a recent interview at SLEEP 2026, Elena Koundourakis, PhD, head of Orexin Franchise Development and Neuroscience Programs at Takeda, discussed new phase 3 data of oveporexton in patients with narcolepsy type 1. [WATCH TIME: 5 minutes]

4: NeuroVoices: Brett Morrison, MD, PhD, on Current and Future Biomarker Landscape in Peripheral Nerve Disease

In our latest NeuroVoices Q&A, Brett Morrison, MD, PhD, associate professor at Johns Hopkins University, recaps his PNS 2026 presentation on current and emerging biomarkers in peripheral nerve disease, from neurofilament light chain to muscle MRI and microRNA.

5: Using a Machine Learning–Based EHR Model to Enhance Screening for Obstructive Sleep Apnea: Nathanael Hwang

In a recent interview at SLEEP 2026, Nathanael Hwang, research intern at Beth Israel Deaconess Medical Center, described the development of an electronic health record–based machine learning model for obstructive sleep apnea screening. [WATCH TIME: 3 minutes]

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