Alzheimer’s disease (AD) is a neurodegenerative disease whose various pathophysiological aspects are still being investigated. Recently, it has been hypothesized that AD may be associated with a dysbiosis of microbes in the intestine. In fact, the intestinal flora is able to influence the activity of the brain and cause its dysfunctions. Given the growing interest in this topic, the purpose of this review is to analyze the role of antibiotics in relation to the gut microbiota and AD. In the first part of the review, we briefly review the role of gut microbiota in the brain and the various theories supporting the hypothesis that dysbiosis can be associated with AD pathophysiology. In the second part, we analyze the possible role of antibiotics in these events. Antibiotics are normally used to remove or prevent bacterial colonization in the human body, without targeting specific types of bacteria. As a result, broad-spectrum antibiotics can greatly affect the composition of the gut microbiota, reduce its biodiversity, and delay colonization for a long period after administration. Thus, the action of antibiotics in AD could be wide and even opposite, depending on the type of antibiotic and on the specific role of the microbiome in AD pathogenesis. Alteration of the gut microbiota can induce changes in brain activity, which raise the possibility of therapeutic manipulation of the microbiome in AD and other neurological disorders. This field of research is currently undergoing great development, but therapeutic applications are still far away. Whether a therapeutic manipulation of gut microbiota in AD could be achieved using antibiotics is still not known. The future of antibiotics in AD depends on the research progresses in the role of gut bacteria. We must first understand how and when gut bacteria act to promote AD. Once the role of gut microbiota in AD is well established, one can think to induce modifications of the gut microbiota with the use of pre-, pro-, or antibiotics to produce therapeutic effects.

Epilepsy as a chronic neurological disorder is characterized by recurrent, unprovoked epileptic seizures. In about half of the people who suffer from epilepsy, the root cause of the disorder is unknown. In the other cases, different factors can cause the onset of epilepsy. In recent years, the role of gut microbiota has been recognized in many neurological disorders, including epilepsy. These data are based on studies of the gut microbiota–brain axis, a relationship starting by a dysbiosis followed by an alteration of brain functions. Interestingly, epileptic patients may show signs of dysbiosis, therefore the normalization of the gut microbiota may lead to improvement of epilepsy and to greater efficacy of anticonvulsant drugs. In this descriptive review, we analyze the evidences for the role of gut microbiota in epilepsy and hypothesize a mechanism of action of these microorganisms in the pathogenesis and treatment of the disease. Human studies revealed an increased prevalence of Firmicutes in patients with refractory epilepsy. Exposure to various compounds can change microbiota composition, decreasing or exacerbating epileptic seizures. These include antibiotics, epileptic drugs, probiotics and ketogenic diet. Finally, we hypothesize that physical activity may play a role in epilepsy through the modulation of the gut microbiota.

There is evidence indicating that a vegan diet could be beneficial in the prevention of neurodegenerative disorders, including Alzheimer’s disease (AD). The purpose of this review is to summarize the current knowledge on the positive and negative aspects of a vegan diet regarding the risk of AD. Regarding AD prevention, a vegan diet includes low levels of saturated fats and cholesterol, contributing to a healthy blood lipid profile. Furthermore, it is rich in phytonutrients, such as vitamins, antioxidants, and dietary fiber, that may help prevent cognitive decline. Moreover, a vegan diet contributes to the assumption of quercetin, a natural inhibitor of monoamine oxidase (MAO), which can contribute to maintaining mental health and reducing AD risk. Nonetheless, the data available do not allow an assessment of whether strict veganism is beneficial for AD prevention compared with vegetarianism or other diets. A vegan diet lacks specific vitamins and micronutrients and may result in nutritional deficiencies. Vegans not supplementing micronutrients are more prone to vitamin B12, vitamin D, and DHA deficiencies, which have been linked to AD. Thus, an evaluation of the net effect of a vegan diet on AD prevention and/or progression should be ascertained by taking into account all the positive and negative effects described here.

Background: The ability to understand emotions is often disturbed in patients with cognitive impairments. Right temporal lobe structures play a crucial role in emotional processing, especially the amygdala, temporal pole (TP), superior temporal sulcus (STS), and anterior cingulate (AC). Those regions are affected in early stages of Alzheimer´s disease (AD). The aim of our study was to evaluate emotional prosody recognition (EPR) in participants with amnestic mild cognitive impairment (aMCI) due to AD, AD dementia patients, and cognitively healthy controls and to measure volumes or thickness of the brain structures involved in this process. In addition, we correlated EPR score to cognitive impairment as measured by MMSE. The receiver operating characteristic (ROC) analysis was used to assess the ability of EPR tests to differentiate the control group from the aMCI and dementia groups. Methods: Eighty-nine participants from the Czech Brain Aging Study: 43 aMCI due to AD, 36 AD dementia, and 23 controls, underwent Prosody Emotional Recognition Test. This experimental test included the playback of 25 sentences with neutral meaning each recorded with different emotional prosody (happiness, sadness, fear, disgust, anger). Volume of the amygdala and thickness of the TP, STS, and rostral and caudal parts of AC (RAC and CAC) were measured using FreeSurfer algorithm software. ANCOVA was used to evaluate EPR score differences. ROC analysis was used to assess the ability of EPR test to differentiate the control group from the aMCI and dementia groups. The Pearson’s correlation coefficients were calculated to explore relationships between EPR scores, structural brain measures, and MMSE. Results: EPR was lower in the dementia and aMCI groups compared with controls. EPR total score had high sensitivity in distinguishing between not only controls and patients, but also controls and aMCI, controls and dementia, and aMCI and dementia. EPR decreased with disease severity as it correlated with MMSE. There was a significant positive correlation of EPR and thickness of the right TP, STS, and bilateral RAC. Conclusions: EPR is impaired in AD dementia and aMCI due to AD. These data suggest that the broad range of AD symptoms may include specific deficits in the emotional sphere which further complicate the patient’s quality of life.

Background: Attributional bias, a tendency to overinterpret others’ intentions as hostile (rather than situational or accidental), represents a component of social cognition and may affect everyday functioning. Neural models link attributional processing to fronto-temporal circuits and the default mode network, which are frequently altered in epilepsy. Difficulties in social participation and employment are common in people with epilepsy, and maladaptive attributional styles may contribute to these challenges. Attributional bias has not been systematically compared across epilepsy syndromes. Methods: We examined attributional bias in 96 participants comprising 26 individuals with genetic generalised epilepsy (GGE), 27 with temporal lobe epilepsy (TLE), and 43 healthy controls (HC). Attributional style was assessed using the Ambiguous Intentions Hostility Questionnaire. Depressive symptoms were evaluated using the Neurological Disorders Depression Inventory in Epilepsy. Group differences were analysed, and potential clinical and demographical correlates were explored. Results: The GGE group exhibited higher hostility bias scores than HC (95% CI: 0.12–0.38, adjusted p = 0.014), whereas the difference between TLE and HC groups was moderate and not statistically significant (95% CI: 0.12–0.58, adjusted p = 0.059). Higher blame scores were positively associated with depressive symptoms (p = 0.016). Disease duration, seizure frequency, and antiseizure medication were not significantly associated with attributional bias. Conclusions: These findings suggest that some individuals with genetic generalised epilepsy are more likely to interpret ambiguous situations as hostile. Altered attributional style may represent an under-recognised factor contributing to social difficulties in people with epilepsy and warrants further investigation as a potential target for psychosocial interventions. Highlights: Some people with epilepsy are more prone to interpret social situations as hostile. Higher depression scores correlate with a tendency to blame external factors for misfortunes. Disease duration, antiseizure medication, and seizure frequency do not seem to influence the attributional bias.

Introduction: Emotion recognition from speech prosody is a complex cognitive ability that depends on the functional integrity of a distributed neuronal network and may be shaped by demographic, clinical and lifestyle factors. The Terrapino mobile application was developed as a tool to promote cognitive health, but its digital infrastructure and methodologically rigorous design also render it suitable for research purposes including a comprehensive battery to assess Alzheimer’s disease risk factors, as well as measures of perceived stress, metamemory, and prosody recognition. Methods: We analyzed data from 2,858 adult Terrapino users aged 18–103 years (median = 60 years) to identify correlates of emotional prosody recognition across a demographically, clinically and lifestyle-diverse population. Participants completed an emotion prosody recognition test comprising 25 audio recordings in which professional actors conveyed one of five basic emotions (fear, sadness, anger, disgust and happiness) solely through vocal intonation. Results: Consistent with previous research, age, sex, education, hearing problems, subjective cognitive complaints and the number of comorbidities were associated with performance, with several predictors significant in at least one age group. However, other hypothesized factors, such as alcohol consumption, depression, perceived stress, average hours of sleep, or living alone, did not show significant associations with performance in prosody recognition. Discussion: Together, these findings identify the main demographic and health factors associated with emotional prosody recognition across the adult lifespan and indicate that, in this large appbased cohort, performance is associated with age and health-related factors rather than with the lifestyle variables examined.