Journal of neurology, neurosurgery, and psychiatry
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J. Neurol. Neurosurg. Psychiatr. · Jan 2022
ReviewNew classification of autoimmune neuropathies based on target antigens and involved domains of myelinated fibres.
Autoimmune neuropathies are named by eponyms, by descriptive terminology or because of the presence of specific antibodies and are traditionally classified, on the basis of pathology and electrophysiology, as primary demyelinating or axonal. However, autoimmune disorders targeting specific molecules of the nodal region, although not showing pathological evidence of demyelination, can exhibit all the electrophysiological changes considered characteristic of a demyelinating neuropathy and acute neuropathies with antiganglioside antibodies, classified as axonal and due to nodal dysfunction, can present with reversible conduction failure and prompt recovery that appear contradictory with the common view of an axonal neuropathy. ⋯ We propose a classification of autoimmune neuropathies based on the involved domains of the myelinated fibre and, when known, on the antigen. This classification, in our opinion, helps to better systematise autoimmune neuropathies because points to the site and molecular target of the autoimmune attack, reconciles some contrasting pathological and electrophysiological findings, circumvents the apparent paradox that neuropathies labelled as axonal may be promptly reversible and finally avoids taxonomic confusion and possible misdiagnosis.
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J. Neurol. Neurosurg. Psychiatr. · Jan 2022
Multicenter StudyEarly predictors of disability of paediatric-onset AQP4-IgG-seropositive neuromyelitis optica spectrum disorders.
To describe onset clinical features predicting time to first relapse and time to long-term visual, motor and cognitive disabilities in paediatric-onset aquaporin-4 antibody (AQP4-IgG) neuromyelitis optica spectrum disorders (NMOSDs). ⋯ Age at onset, race, onset symptoms and resistance to acute therapy at onset attack predict first relapse and long-term disabilities. The recognition of these predictors may help to power future paediatric clinical trials and to direct early therapeutic decisions in AQP4-IgG NMOSD.
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J. Neurol. Neurosurg. Psychiatr. · Jan 2022
Prediction of dementia using diffusion tensor MRI measures: the OPTIMAL collaboration.
It has been suggested that diffusion tensor imaging (DTI) measures sensitive to white matter (WM) damage may predict future dementia risk not only in cerebral small vessel disease (SVD), but also in mild cognitive impairment. To determine whether DTI measures were associated with cognition cross-sectionally and predicted future dementia risk across the full range of SVD severity, we established the International OPtimising mulTImodal MRI markers for use as surrogate markers in trials of Vascular Cognitive Impairment due to cerebrAl small vesseL disease collaboration which included six cohorts. ⋯ Our results support a central role for WM alterations in dementia pathogenesis in all cohorts. DTI measures such as MD median may be a useful clinical risk predictor. The contribution of other MRI markers varied according to disease severity.