RESUMO
White matter hyperintensities of vascular origin (WMH) are commonly found in individuals over 60 and increase in prevalence with age. The significance of WMH is well-documented, with strong associations with cognitive impairment, risk of stroke, mental health, and brain structure deterioration. Consequently, careful monitoring is crucial for the early identification and management of individuals at risk. Luckily, WMH are detectable and quantifiable on standard MRI through visual assessment scales, but it is time-consuming and has high rater variability. Addressing this issue, the main aim of our study is to decipher the utility of quantitative measures of WMH, assessed with automatic tools, in establishing risk profiles for cerebrovascular deterioration. For this purpose, first, we work to determine the most precise WMH segmentation open access tool compared to clinician manual segmentations (LST-LPA, LST-LGA, SAMSEG, and BIANCA), offering insights into methodology and usability to balance clinical precision with practical application. The results indicated that supervised algorithms (LST-LPA and BIANCA) were superior, particularly in detecting small WMH, and can improve their consistency when used in parallel with unsupervised tools (LST-LGA and SAMSEG). Additionally, to investigate the behavior and real clinical utility of these tools, we tested them in a real-world scenario (N = 300; age > 50 y.o. and MMSE > 26), proposing an imaging biomarker for moderate vascular damage. The results confirmed its capacity to effectively identify individuals at risk comparing the cognitive and brain structural profiles of cognitively healthy adults above and below the resulted threshold.
RESUMO
Limbic encephalitis is a condition characterised by an acute or sub-acute onset of memory disorder, associated with seizures and psychiatric manifestations. Investigations such as brain MRI usually reveal a high intensity signal in the medial temporal lobe and cerebrospinal fluid analysis shows mild pleocytosis and oligoclonal bands. It may occur in association with cancer, infection, or as an isolated clinical condition, often accompanying autoimmune disorders. Immune-mediated limbic encephalitis is now subclassified according to the presence and type of autoantibodies, which has significant consequences regarding the effectiveness of treatment and prognosis. Glutamic acid decarboxylase (GAD) is an enzyme that catalyses glutamic acid into gamma aminobutyric acid. Anti-GAD antibodies are associated with different neurological and non-neurological disorders, but only a few cases of limbic encephalitis associated with anti-GAD antibodies have been reported in the literature, most of them non-paraneoplastic. Here, we report the case of a young female patient with a medical history of psoriasis who developed an acute onset and chronic evolution of anterograde amnesia, associated with drug-resistant epilepsy. Brain MRI showed hyperintensity in the medial temporal lobes and the biochemical studies revealed intrathecal synthesis of anti-GAD antibodies. Screening tests for tumours were negative. Despite antiepileptic drugs, intravenous immunoglobulins and immunosuppressive treatment, the patient did not show clinical improvement and one year later, she continues to present refractory temporal epilepsy and cognitive deficits.
Assuntos
Amnésia/tratamento farmacológico , Encefalite Límbica/imunologia , Convulsões/tratamento farmacológico , Doença Aguda , Adulto , Amnésia/complicações , Amnésia/diagnóstico , Amnésia/imunologia , Autoanticorpos/análise , Autoanticorpos/imunologia , Feminino , Glutamato Descarboxilase/imunologia , Humanos , Imunoglobulinas Intravenosas/uso terapêutico , Encefalite Límbica/complicações , Encefalite Límbica/diagnóstico , Imageamento por Ressonância Magnética/métodos , Transtornos da Memória/complicações , Convulsões/complicações , Convulsões/imunologiaRESUMO
The development of Alzheimer's disease (AD) follows three consecutive phases: namely preclinical, prodromal or mild cognitive impairment (MCI), and dementia. In addition, the preclinical phase can be divided into subphases related to the presence of biomarkers that appear at different points before the onset of MCI. Indeed, an early risk factor could promote the appearance of additional ones through a continuum. The presence of various risk factors may trigger specific biomarkers. In this review, we comment on how modifiable risk factors for AD may be reverted, thus correlating with a possible decrease in the specific biomarkers for the disease. Finally, we discuss the development of a suitable AD prevention strategy by targeting modifiable risk factors, thereby increasing the level of "precision medicine" in healthcare systems worldwide.
RESUMO
BACKGROUND: Electrophysiological studies show that reductions in power within the alpha band are associated with the Alzheimer's disease (AD) continuum. Physical activity (PA) is a protective factor that has proved to reduce AD risk and pathological brain burden. Previous research has confirmed that exercise increases power in the alpha range. However, little is known regarding whether other non-modifiable risk factors for AD, such as increased age or APOE ε4 carriage, alter the association between PA and power in the alpha band. METHODS: The relationship between PA and alpha band power was examined in a sample of 113 healthy adults using magnetoencephalography. Additionally, we explored whether ε4 carriage and age modulate this association. The correlations between alpha power and gray matter volumes and cognition were also investigated. RESULTS: We detected a parieto-occipital cluster in which PA positively correlated with alpha power. The association between PA and alpha power remained following stratification of the cohort by genotype. Younger and older adults were investigated separately, and only younger adults exhibited a positive relationship between PA and alpha power. Interestingly, when four groups were created based on age (younger-older adult) and APOE (E3/E3-E3/E4), only younger E3/E3 (least predicted risk) and older E3/E4 (greatest predicted risk) had associations between greater alpha power and higher PA. Among older E3/E4, greater alpha power in these regions was associated with improved memory and preserved brain structure. CONCLUSION: PA could protect against the slowing of brain activity that characterizes the AD continuum, where it is of benefit for all individuals, especially E3/E4 older adults.