eanCast: Weekly Neurology

Moderator: Raffaele Dubbioso (Naples, Italy)

Guest: Andrea Malaspina (London, UK) and Francesco Di Lorenzo (Rome, Italy)

In this episode, Raffaele Dubbioso speaks with Andrea Malaspina and Francesco Di Lorenzo about the growing role of neurofilaments as biomarkers in amyotrophic lateral sclerosis and frontotemporal dementia. They discuss the biological basis and clinical interpretation of neurofilament measurements, their diagnostic and prognostic value, and their emerging role in identifying pre-symptomatic disease, monitoring progression, and supporting clinical trials in neurological practice.

Moderator: Elisa Canu (Milan, Italy)

Guest: Anna Gilioli (Milan, Italy)

In this episode, Elisa Canu speaks with Anna Gilioli about social cognition impairment in amyotrophic lateral sclerosis (ALS). They discuss its clinical manifestations, underlying neurobiological mechanisms, and assessment approaches, highlighting the importance of early recognition and its implications for patient management, prognosis, and multidisciplinary neurological care.

Moderator: Valentina Iuzzolino (Naples, Italy)

Guest: Elka Stefanova (Belgrade, Serbia) and Mamede de Carvalho (Lisbon, Porugal)

In this episode, Valentina Iuzzolino speaks with Elka Stefanova and Mamede de Carvalho about diagnostic challenges in amyotrophic lateral sclerosis and frontotemporal dementia. They discuss clinical heterogeneity, key differential diagnoses and red flags, the role of Gold Coast criteria and neurophysiology in ALS, and the importance of longitudinal clinical assessment and neuroimaging in distinguishing frontotemporal dementia from primary psychiatric disorders.

Moderator: Raphael Wurm (Vienna, Austria)

Guest: Roland Wiest (Bern, Switzerland)

In this episode, Raphael Wurm speaks with Roland Wiest about how the AI revolution is set to reshape the clinical environment in neurology. They discuss the areas where augmentation and automation are likely to have the greatest impact, including neuroimaging, clinical workflows, and decision support, while exploring how neurologists can prepare themselves and their institutions to translate emerging AI technologies into meaningful improvements for both clinicians and patients.