Distal symmetric polyneuropathy (DSPN) is the most common form of diabetic neuropathy and a major cause of morbidity in patients with diabetes. Despite extensive research, diagnostic advances have been incremental rather than transformative, and accurate diagnoses in clinical practice still rely on careful clinical assessments. This review focuses on diagnostic approaches for DSPN that can be applied in routine neurological practice. We summarize the evolving definition and diagnostic criteria of DSPN, including the graded classification proposed by the Toronto consensus panel. Core diagnostic elements such as detailed history-taking, bedside neurological examinations, and validated clinical scoring systems are reviewed. We also discuss the role and limitations of nerve conduction studies, skin biopsy, corneal confocal microscopy, and tests of small-fiber function. Laboratory evaluations for differential diagnoses and current American Diabetes Association screening recommendations are also discussed.

Ultrasound (US) is a patient-friendly imaging modality that is well suited for structural assessments of skeletal muscle and surrounding tissues, and its use for both diagnostic and monitoring in neuromuscular medicine is steadily expanding. Despite its advantages, the broader clinical implementation of muscle US is still hinder by the obtained images and their interpretation varying between operators. Recent advances in artificial intelligence (AI)-particularly in deep learning (DL)-have led to significant innovations in medical imaging. These developments hold considerable promise for addressing the inherent limitations of muscle US and for improving its clinical applicability. This review summarizes key muscle US biomarkers, encompassing both qualitative visual assessments and quantitative parameters. We discuss their utility in the diagnosis of neuromuscular disorders and their potential role as responsive biomarkers for monitoring disease progression, based on findings from previous studies. We also introduce foundational concepts of AI and DL and review recent studies that have applied these technologies in muscle US for the automated segmentation of muscle boundaries, feature extraction, and disease classification. Finally, we highlight current challenges and outline future directions needed to fully realize the potential of AI-enhanced muscle US as a standardized and widely applicable tool for assessing neuromuscular diseases.

The valsalva maneuver is a gold standard test for evaluating cardiovascular autonomic function. By inducing characteristic heart rate and blood pressure changes across four phases, it allows simultaneous assessment of sympathetic and parasympathetic responses. Quantitative indices such as the valsalva ratio, pressure recovery time, and baroreflex sensitivities provide precise evaluation of autonomic reflex pathways. Specific patterns like the square-wave phenomenon offer diagnostic clues to differentiate peripheral from central autonomic disorders. This review summarizes the physiological mechanisms underlying the valsalva maneuver, key derived metrics, and examples of its clinical applications in diagnosing autonomic dysfunction in neurological disorders, including pure autonomic failure, Parkinson’s disease, and amyotrophic lateral sclerosis. Owing to its simplicity, noninvasiveness, and diagnostic utility, the valsalva maneuver remains a fundamental tool in clinical and research settings for autonomic assessment.

Idiopathic inflammatory myopathies (IIMs) are heterogeneous immune-mediated muscle disorders with variable extramuscular manifestations and outcomes. Myositis-specific auto-antibodies (MSAs) have transformed the IIM field by enabling a serology-informed taxonomy based on distinct clinical phenotypes, prognostic trajectories, and therapeutic responses. Anti-Jo-1 and other antisynthetase antibodies characterize interstitial lung disease (ILD)-prone forms of disease; anti-MDA5 identifies patients at risk of rapidly progressive ILD and early mortality; anti-TIF1-γ and anti-NXP2 are indicative of cancer-associated myositis; anti-SRP and anti-HMGCR delineate necrotizing myopathies; and anti-cN1A supports the diagnosis of inclusion-body myositis. Beyond diagnosis, MSA profiles provide prognostic information, including about survival, relapse risk, and organ-specific complications, and they are increasingly being used to guide treatment decisions and predict biologic responsiveness. This review summarizes the diagnostic, prognostic, and therapeutic implications of MSAs across the IIM spectrum and highlight their growing importance in clinical practice for risk stratification and patient management.

Since 2020, updates in the diagnostic criteria for various neuromuscular diseases have emerged by advancements in electrophysiological studies, biomarker research, and imaging modalities. These developments reflect an effort to improve diagnostic accuracy and allow for earlier intervention. This review summarizes the most recent revisions in the diagnostic criteria for amyotrophic lateral sclerosis, primary lateral sclerosis, Guillain-Barré syndrome, chronic inflammatory demyelinating polyradiculoneuropathy, and myasthenia gravis.

We report the case of somatosensory evoked potential loss during a transforaminal interbody fusion during exposure following a transient rise in blood pressure. The topography of signal loss and elimination of technical causes led to the inference of left sided stroke which was confirmed as a left thalamocapsular hemorrhagic infarct on postoperative magnetic resonance imaging. Use of intraoperative neuromonitoring in this lumbar fixation surgery helped to identify it intraoperatively and prevented undue alternative surgical decision making.

The vestibular system, essential for balance and spatial orientation, spans from the inner ear to various brain regions. Advances in imaging techniques have significantly enhanced our ability to diagnose and treat vestibular disorders. This review explores the anatomy of the vestibular system and evaluates the roles of high-resolution computed tomography (CT) and magnetic resonance imaging (MRI) in diagnosing structural abnormalities. CT is particularly useful for identifying bony labyrinth anomalies, temporal bone fractures, and superior canal dehiscence, though it has limitations in visualizing membranous labyrinth lesions. MRI, with its superior soft tissue resolution, is preferred for detecting retrocochlear lesions such as vestibular schwannomas, cerebellopontine angle tumors, and demyelinating diseases in the posterior fossa. Functional MRI also offers insights into the vestibular system’s functional aspects. The review emphasizes the increasing importance of imaging diagnostics in the effective management of vestibular system diseases, highlighting both structural and functional imaging modalities to improve patient outcomes.

The electrical signals that pass through neuronal structures generate electrical currents and magnetic fields that can be measured by different electrography and magnetography modalities. In this article, we briefly review the fundamentals of recording bioelectrical currents and biomagnetic fields. This is followed by an analysis of the neurophysiologic substrates of the brachial plexus, cervical roots, and spinal cord, comparing the electrography-based modality of somatosensory evoked potential with the magnetography-based modality of magnetospinography/magnetoneurography (MSG/MNG). We aim to illustrate that MSG/MNG has the potential to address the shortcomings that currently exist in electrography modalities for direct neurophysiologic assessment of the aforementioned neural structures.

Background: This study aimed to determine the effects of perampanel on the nervous system using commonly performed neurophysiological tests. Methods: Twelve healthy adult males underwent electroencephalogram and measurements of median nerve somatosensory evoked potentials (SSEPs), visual evoked potentials (VEPs), and brainstem auditory evoked potentials before and after ingesting 6 mg of perampanel. The pre- and postadministration data were cross-compared and then correlated with serum perampanel levels and reported side effects. Results: After ingesting 6 mg of perampanel there was a statistically significant increase in the P100 latency of VEPs elicited using a 64 × 64 checkerboard pattern (p = 0.027) and a decrease in the N20 latency of median nerve SSEPs (p = 0.033). Reported side effects were not correlated with the serum perampanel level or statistically significant latency changes. Conclusions This study is the first to explore the effects of perampanel on results obtained in neurophysiological tests. Our findings indicate that perampanel increases sensory conduction, as evidenced by a decrease in N20 latency. Perampanel may additionally interfere with visual processing, in part by prolonging P100. Further studies with larger samples and various doses are needed to clarify these findings.