Using neuroanatomical investigations in the macaque, Deepak Pandya and his colleagues have established the framework for auditory cortex organization, with subdivisions into core and belt areas. This has aided subsequent neurophysiological and imaging studies in monkeys and humans, and a nomenclature building on Pandya's work has also been adopted by the Human Connectome Project. The foundational work by Pandya and his colleagues is highlighted here in the context of subsequent and ongoing studies on the functional anatomy and physiology of auditory cortex in primates, including humans, and their relevance for understanding cognitive aspects of speech and language.

Finite element analysis is widely used to study spinal biomechanics and to compare surgical strategies under controlled loading conditions. By allowing variation in alignment, fixation, and implant design, these models provide insight into stress redistribution and motion changes that are difficult to isolate experimentally. This review examines spine surgery-focused finite element studies published between 2018 and 2024, with emphasis on interbody fusion techniques, adjacent segment mechanics, and implant-related stress behavior. Across lumbar fusion models, constructs incorporating anterior column support demonstrate lower posterior instrumentation stress than posterior-only approaches, with lateral lumbar interbody techniques showing reduced rod and screw stresses across multiple loading conditions compared with posterior lumbar interbody or posterolateral fusion constructs. In the cervical spine, comparisons of plated and zero-profile anterior cervical discectomy and fusion devices show smaller increases in adjacent-level motion and intradiscal pressure with zero-profile constructs, alongside higher localized stress at fixation interfaces. More recent studies apply finite element methods to implant optimization, alignment planning, and patient-specific modeling. Together, these findings suggest that finite element analysis is increasingly used to support surgical planning and implant design, with continued advances in validation and patient-specific simulation likely to strengthen its clinical relevance.

Neurophobia is usually framed as a learner's fear of difficult anatomy or neurological localization. That framing is incomplete. Discontinuous exposure, limited clinical context, inaccessible mentorship, and unequal access to neuroscience opportunities also shape whether trainees develop competence and consider careers in neurology, neurosurgery, neuroradiology, or neuroscience. Existing outreach, mentorship, flipped-classroom, case-based, and virtual-reality programs often improve knowledge, confidence, or satisfaction, but most are small, single-institution studies and rarely measure durable clinical performance or career persistence. We argue that clinical neuroscience education should be redesigned as a longitudinal pipeline rather than a sequence of isolated events. Effective programs should connect early exposure to repeated patient-centered learning, provide mentors with defined responsibilities and institutional support, use educational technology only when it serves a specific learning objective, and remove financial and social barriers that restrict participation. Evaluation should extend beyond post-session enthusiasm to retention, diagnostic reasoning, supervised clinical performance, specialty entry, and persistence. Neurophobia will not be solved by making neuroscience merely more entertaining; it will be reduced when institutions make the subject clinically coherent, mentorship dependable, and participation genuinely accessible.