Effects of classic psychedelic drugs on turbulent signatures in brain dynamics

Psychedelic drugs show promise as safe and effective treatments for neuropsychiatric disorders, yet their mechanisms of action are not fully understood. A fundamental hypothesis is that psychedelics work by dose-dependently changing the functional hierarchy of brain dynamics, but it is unclear whether different psychedelics act similarly. Here, we investigated the changes in the brain’s functional hierarchy associated with two different psychedelics (LSD and psilocybin). Using a novel turbulence framework, we were able to determine the vorticity, that is, the local level of synchronization, that allowed us to extend the standard global time-based measure of metastability to become a local-based measure of both space and time. This framework produced detailed signatures of turbulence-based hierarchical change for each psychedelic drug, revealing consistent and discriminate effects on a higher level network, that is, the default mode network. Overall, our findings directly support a prior hypothesis that psychedelics modulate (i.e., “compress”) the functional hierarchy and provide a quantification of these changes for two different psychedelics. Implications for therapeutic applications of psychedelics are discussed

Voxel-based dysconnectomic brain morphometry with computed tomography in Down syndrome

Objective: Alzheimer's disease (AD) is a major health concern for aging adults with Down syndrome (DS), but conventional diagnostic techniques are less reliable in those with severe baseline disability. Likewise, acquisition of magnetic resonance imaging to evaluate cerebral atrophy is not straightforward, as prolonged scanning times are less tolerated in this population. Computed tomography (CT) scans can be obtained faster, but poor contrast resolution limits its function for morphometric analysis. We implemented an automated analysis of CT scans to characterize differences across dementia stages in a cross-sectional study of an adult DS cohort. Methods: CT scans of 98 individuals were analyzed using an automatic algorithm. Voxel-based correlations with clinical dementia stages and AD plasma biomarkers (phosphorylated tau-181 and neurofilament light chain) were identified, and their dysconnectomic patterns delineated. Results: Dementia severity was negatively correlated with gray (GM) and white matter (WM) volumes in temporal lobe regions, including parahippocampal gyri. Dysconnectome analysis revealed an association between WM loss and temporal lobe GM volume reduction. AD biomarkers were negatively associated with GM volume in hippocampal and cingulate gyri. Interpretation: Our automated algorithm and novel dysconnectomic analysis of CT scans successfully described brain morphometric differences related to AD in adults with DS, providing a new avenue for neuroimaging analysis in populations for whom magnetic resonance imaging is difficult to obtainThe Adult Down Syndrome Outpatient unit at Hospital Universitario de La Princesa is grateful to Licenciado Don Jesús Coronado Hinojosa for his financial support of the research endeavors of our unit. BSM is supported by the Foundation Jérôme Lejeune (grant no. 2021b/2088). DRA is partially supported by the Fondo de Investigaciones Sanitarias (FIS grant PI19/00634, from the Ministerio de Economía y Competitividad (Instituto de Salud Carlos III) and co-funded by The European Regional Development Fund (ERDF) “A way to make Europe”) and the Foundation Jérôme Lejeune (grant no. 2021a/2069). FM is partially supported by the Spanish Society of Internal Medicine (FEMI grant 2018

Effects of High-Fat Diet on eHSP72 and Extra-to-Intracellular HSP70 Levels in Mice Submitted to Exercise under Exposure to Fine Particulate Matter

Obesity, air pollution, and exercise induce alterations in the heat shock response (HSR), in both intracellular 70?kDa heat shock proteins (iHSP70) and the plasmatic extracellular form (eHSP72). Extra-to-intracellular HSP70 ratio (H-index?=?eHSP70/iHSP70 ratio) represents a candidate biomarker of subclinical health status. This study investigated the effects of moderate- and high-intensity exercise in the HSR and oxidative stress parameters, in obese mice exposed to fine particulate matter (PM2.5). Thirty-day-old male isogenic B6129F2/J mice were maintained for 16 weeks on standard chow or high-fat diet (HFD). Then, mice were exposed to either saline or 50?µg of PM2.5 by intranasal instillation and subsequently maintained at rest or subjected to moderate- or high-intensity swimming exercise. HFD mice exhibited high adiposity and glucose intolerance at week 16th. HFD mice submitted to moderate- or high-intensity exercise were not able to complete the exercise session and showed lower levels of eHSP70 and H-index, when compared to controls. PM2.5 exposure modified the glycaemic response to exercise and modified hematological responses in HFD mice. Our study suggests that obesity is a critical health condition for exercise prescription under PM2.5 exposure

Corneal Sensation and Subbasal Nerve Alterations in Patients with Herpes Simplex Keratitis

Purpose To study and correlate corneal sensation in patients with herpes simplex keratitis (HSK) with density and morphology of subbasal corneal nerves by in vivo confocal microscopy (IVCM). Design Prospective, cross-sectional, controlled, single-center study. Participants Thirty-one eyes with the diagnosis of acute (n=7) or chronic (n=24) HSK and the contralateral clinically unaffected eyes were studied and compared to normal controls (n=15). Methods IVCM (Confoscan 4, Nidek) and corneal esthesiometry (Cochet-Bonnet) of the central cornea were performed bilaterally in all patients and controls. Patients were grouped into normal (>5.5 cm), mild (>2.5 to 5.5cm) and severe (≤2.5 cm) loss of sensation. Main Outcome Measures Changes in corneal nerve density, total nerve number, main nerve trunks, branching and tortuosity were evaluated after IVCM and correlated to corneal sensation, disease duration, and number of recurrences. Results HSK eyes, as compared to controls, demonstrated significant (p<0.001) decrease in mean nerve density (448.9±409.3 vs. 2,258.4±989.0 μm/frame), total nerve number (5.2±4.5 vs. 13.1±3.8), main nerve trunks (2.3±1.6 vs. 4.7±1.2) and nerve branches (3.2 ± 4.3 vs. 9.8±3.3). In contralateral unaffected eyes, mean nerve density (992.7±465.0 μm/frame), total nerve number (7.8±3.3), and branches (4.5±2.3) were significantly decreased as compared to controls (p<0.002). Reduced nerve density, total nerve count and main trunks in HSK eyes were significantly correlated with corneal sensation across all subgroups (p<0.001). Nerve density decreased within days of infection and was correlated to frequency of episodes in patients with HSK (p<0.02). Conclusions In vivo confocal microscopy reveals that the loss of corneal sensation in HSK correlates strongly with profound diminishment of the subbasal nerve plexus after herpes simplex virus (HSV) infection. Surprisingly, the contralateral clinically unaffected eyes also demonstrated a diminishment of the subbasal nerve plexus, as compared to normal subjects, revealing bilateral nerve alteration in an apparently unilateral disease

Unilateral Herpes Zoster Ophthalmicus Results in Bilateral Corneal Nerve Alteration

Purpose Herpes zoster ophthalmicus (HZO), thought to be a unilateral disease, results in loss of corneal sensation, leading to neurotrophic keratopathy. This study aimed to analyze bilateral corneal nerve changes in patients with HZO by in vivo confocal microscopy (IVCM) and their correlation with corneal sensation as a measure of nerve function. Design Prospective, cross-sectional, controlled, single-center study. Participants Twenty-seven eyes with the diagnosis of HZO and their contralateral clinically unaffected eyes were studied and compared with normal controls (n = 15). Methods In vivo confocal microscopy (Confoscan 4; Nidek Technologies, Gamagori, Japan) and corneal esthesiometry (Cochet-Bonnet; Luneau Ophthalmologie, Chartres, France) of the central cornea were performed bilaterally in all patients and controls. Patients were grouped into normal (>5.5 cm), mild (>2.5–5.5 cm), and severe (<2.5 cm) loss of sensation. Main Outcome Measures Changes in corneal nerve density, total nerve number, main nerve trunks, branching, and tortuosity were evaluated after IVCM and were correlated to corneal sensation, disease duration, and number of recurrences. Results Eyes with herpes zoster ophthalmicus had a significant (P<0.001) decrease in total nerve length (595.8±358.1 vs. 2258.4±989.0 μm/frame), total number of nerves (5.4±2.8 vs. 13.1±3.8), number of main nerve trunks (2.3±1.1 vs. 4.7±1.2), and number of nerve branches (3.2±2.3 vs. 8.4±3.7) as compared with controls. In the contralateral clinically unaffected eyes, total nerve length (1053.1±441.4 μm/frame), total number of nerves (8.3±2.9), and main nerve trunks (3.1±1.0) also were decreased significantly as compared with controls (P<0.01). Reduced nerve density, total nerve count, main trunks, and tortuosity was correlated significantly with corneal sensation across all subgroups (P<0.001). Conclusions Patients with unilateral HZO demonstrated a profound and significant bilateral loss of the corneal nerve plexus as compared with controls, demonstrating bilateral changes in a clinically unilateral disease. Loss of corneal sensation strongly correlated with subbasal nerve plexus alterations as shown by IVCM

Structural inequality and temporal brain dynamics across diverse samples

BackgroundStructural income inequality - the uneven income distribution across regions or countries - could affect brain structure and function, beyond individual differences. However, the impact of structural income inequality on the brain dynamics and the roles of demographics and cognition in these associations remains unexplored.MethodsHere, we assessed the impact of structural income inequality, as measured by the Gini coefficient on multiple EEG metrics, while considering the subject-level effects of demographic (age, sex, education) and cognitive factors. Resting-state EEG signals were collected from a diverse sample (countries = 10; healthy individuals = 1394 from Argentina, Brazil, Colombia, Chile, Cuba, Greece, Ireland, Italy, Turkey and United Kingdom). Complexity (fractal dimension, permutation entropy, Wiener entropy, spectral structure variability), power spectral and aperiodic components (1/f slope, knee, offset), as well as graph-theoretic measures were analysed.FindingsDespite variability in samples, data collection methods, and EEG acquisition parameters, structural inequality systematically predicted electrophysiological brain dynamics, proving to be a more crucial determinant of brain dynamics than individual-level factors. Complexity and aperiodic activity metrics captured better the effects of structural inequality on brain function. Following inequality, age and cognition emerged as the most influential predictors. The overall results provided convergent multimodal metrics of biologic embedding of structural income inequality characterised by less complex signals, increased random asynchronous neural activity, and reduced alpha and beta power, particularly over temporoposterior regions.ConclusionThese findings might challenge conventional neuroscience approaches that tend to overemphasise the influence of individual-level factors, while neglecting structural factors. Results pave the way for neuroscience-informed public policies aimed at tackling structural inequalities in diverse populations.We analysed EEG data from 1394 participants across 10 countries, using the Gini coefficient and sociodemographic variables to predict EEG metrics.Four categories of EEG metrics were computed: complexity, aperiodic spectral components, power spectrum, and connectivity.ROC curves, feature importance rankings, and topographical brain region information were reported.Structural income inequality consistently predicts EEG metrics, surpassing individual demographic factors. imag

Multi-feature computational framework for combined signatures of dementia in underrepresented settings

PUBLISHED 25 August 2022Objective. The differential diagnosis of behavioral variant frontotemporal dementia (bvFTD) and Alzheimer’s disease (AD) remains challenging in underrepresented, underdiagnosed groups, including Latinos, as advanced biomarkers are rarely available. Recent guidelines for the study of dementia highlight the critical role of biomarkers. Thus, novel cost-effective complementary approaches are required in clinical settings. Approach. We developed a novel framework based on a gradient boosting machine learning classifier, tuned by Bayesian optimization, on a multi-feature multimodal approach (combining demographic, neuropsychological, magnetic resonance imaging (MRI), and electroencephalography/functional MRI connectivity data) to characterize neurodegeneration using site harmonization and sequential feature selection. We assessed 54 bvFTD and 76 AD patients and 152 healthy controls (HCs) from a Latin American consortium (ReDLat). Main results. The multimodal model yielded high area under the curve classification values (bvFTD patients vs HCs: 0.93 (±0.01); AD patients vs HCs: 0.95 (±0.01); bvFTD vs AD patients: 0.92 (±0.01)). The feature selection approach successfully filtered non-informative multimodal markers (from thousands to dozens). Results. Proved robust against multimodal heterogeneity, sociodemographic variability, and missing data. Significance. The model accurately identified dementia subtypes using measures readily available in underrepresented settings, with a similar performance than advanced biomarkers. This approach, if confirmed and replicated, may potentially complement clinical assessments in developing countries.Sebastian Moguilner, Agustina Birba, Sol Fittipaldi, Cecilia Gonzalez-Campo, Enzo Tagliazucchi, Pablo Reyes, Diana Matallana, Mario A Parra, Andrea Slachevsky, Gonzalo Farías, Josefina Cruzat, Adolfo García, Harris A Eyre, Renaud La Joie, Gil Rabinovici, Robert Whelan and Agustín Ibáñe

Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations

Brain clocks, which quantify discrepancies between brain age and chronological age, hold promise for understanding brain health and disease. However, the impact of diversity (including geographical, socioeconomic, sociodemographic, sex and neurodegeneration) on the brain-age gap is unknown. We analyzed datasets from 5,306 participants across 15 countries (7 Latin American and Caribbean countries (LAC) and 8 non-LAC countries). Based on higher-order interactions, we developed a brain-age gap deep learning architecture for functional magnetic resonance imaging (2,953) and electroencephalography (2,353). The datasets comprised healthy controls and individuals with mild cognitive impairment, Alzheimer disease and behavioral variant frontotemporal dementia. LAC models evidenced older brain ages (functional magnetic resonance imaging: mean directional error = 5.60, root mean square error (r.m.s.e.) = 11.91; electroencephalography: mean directional error = 5.34, r.m.s.e. = 9.82) associated with frontoposterior networks compared with non-LAC models. Structural socioeconomic inequality, pollution and health disparities were influential predictors of increased brain-age gaps, especially in LAC (R² = 0.37, F² = 0.59, r.m.s.e. = 6.9). An ascending brain-age gap from healthy controls to mild cognitive impairment to Alzheimer disease was found. In LAC, we observed larger brain-age gaps in females in control and Alzheimer disease groups compared with the respective males. The results were not explained by variations in signal quality, demographics or acquisition methods. These findings provide a quantitative framework capturing the diversity of accelerated brain aging.Fil: Moguilner, Sebastian. Universidad Adolfo Ibañez; Chile. Universidad de San Andrés; Argentina. Harvard Medical School; Estados UnidosFil: Baez, Sandra. University of California; Estados Unidos. Trinity College Dublin; Irlanda. Universidad de los Andes; ColombiaFil: Hernandez, Hernan. Universidad Adolfo Ibañez; ChileFil: Migeot, Joaquín. Universidad Adolfo Ibañez; ChileFil: Legaz, Agustina. Universidad Adolfo Ibañez; Chile. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gonzalez Gomez, Raul. Universidad Adolfo Ibañez; ChileFil: Farina, Francesca R.. University of California; Estados Unidos. Trinity College Dublin; IrlandaFil: Prado, Pavel. Universidad San Sebastián; ChileFil: Cuadros, Jhosmary. Universidad Adolfo Ibañez; Chile. Universidad Nacional Experimental del Táchira; Venezuela. Universidad Técnica Federico Santa María; ChileFil: Tagliazucchi, Enzo Rodolfo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Adolfo Ibañez; Chile. Universidad de Buenos Aires; ArgentinaFil: Altschuler, Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; ArgentinaFil: Maito, Marcelo Adrián. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; ChileFil: Godoy, María E.. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; ChileFil: Cruzat, Josephine. Universidad Adolfo Ibañez; ChileFil: Valdes Sosa, Pedro A.. University of Electronic Sciences and Technology of China; China. Technology of China; China. Cuban Neuroscience Center; CubaFil: Lopera, Francisco. Universidad de Antioquia; ColombiaFil: Ochoa Gómez, John Fredy. Universidad de Antioquia; ColombiaFil: Gonzalez Hernandez, Alfredis. Universidad Surcolombiana Neiva; ColombiaFil: Bonilla Santos, Jasmin. Universidad Cooperativa de Colombia; ColombiaFil: Gonzalez Montealegre, Rodrigo A.. Universidad Surcolombiana Neiva; ColombiaFil: Anghinah, Renato. Universidade de Sao Paulo; BrasilFil: d’Almeida Manfrinati, Luís E.. Universidade de Sao Paulo; BrasilFil: Fittipaldi, Sol. University of California; Estados Unidos. Trinity College Dublin; Irlanda. Universidad Adolfo Ibañez; ChileFil: Medel, Vicente. Universidad Adolfo Ibañez; ChileFil: Olivares, Daniela. Universidad Adolfo Ibañez; Chile. Universidad de Chile; Chile. Centro de Neuropsicología Clínica; ChileFil: Yener, Görsev G.. Izmir University of Economics; Turquía. Dokuz Eylul University; Turquía. Izmir Biomedicine and Genome Center; TurquíaFil: Escudero, Javier. University of Edinburgh; Reino UnidoFil: Babiloni, Claudio. Università degli Studi di Roma "La Sapienza"; Italia. Hospital San Raffaele Cassino; ItaliaFil: Whelan, Robert. University of California; Estados Unidos. Trinity College Dublin; IrlandaFil: Güntekin, Bahar. Istanbul Medipol University; TurquíaFil: Barttfeld, Pablo. Universidad Nacional de Córdoba. Instituto de Investigaciones Psicológicas. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Psicológicas; Argentin

The effect of cigarette smoking, alcohol consumption and fruit and vegetable consumption on IVF outcomes: A review and presentation of original data

Background - Lifestyle factors including cigarette smoking, alcohol consumption and nutritional habits impact on health, wellness, and the risk of chronic diseases. In the areas of in-vitro fertilization (IVF) and pregnancy, lifestyle factors influence oocyte production, fertilization rates, pregnancy and pregnancy loss, while chronic, low-grade oxidative stress may underlie poor outcomes for some IVF cases. Methods - Here, we review the current literature and present some original, previously unpublished data, obtained from couples attending the PIVET Medical Centre in Western Australia. Results - During the study, 80 % of females and 70 % of male partners completed a 1-week diary documenting their smoking, alcohol and fruit and vegetable intake. The subsequent clinical outcomes of their IVF treatment such as quantity of oocytes collected, fertilization rates, pregnancy and pregnancy loss were submitted to multiple regression analysis, in order to investigate the relationship between patients, treatment and the recorded lifestyle factors. Of significance, it was found that male smoking caused an increased risk of pregnancy loss (p = 0.029), while female smoking caused an adverse effect on ovarian reserve. Both alcohol consumption (β = 0.074, p < 0.001) and fruit and vegetable consumption (β = 0.034, p < 0.001) had positive effects on fertilization. Conclusion - Based on our results and the current literature, there is an important impact of lifestyle factors on IVF clinical outcomes. Currently, there are conflicting results regarding other lifestyle factors such as nutritional habits and alcohol consumption, but it is apparent that chronic oxidative stress induced by lifestyle factors and poor nutritional habits associate with a lower rate of IVF success