A5034518560- Functional Brain Connectivity Studies
- Dementia and Cognitive Impairment Research
- Neurobiology of Language and Bilingualism
- Health, Environment, Cognitive Aging
- Autism Spectrum Disorder Research
- Neural dynamics and brain function
- Psychosomatic Disorders and Their Treatments
- Health disparities and outcomes
- Advanced Neuroimaging Techniques and Applications
- Genetic Neurodegenerative Diseases
- EEG and Brain-Computer Interfaces
- Memory and Neural Mechanisms
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Aging and Gerontology Research
- Psychology of Moral and Emotional Judgment
- Cognitive Abilities and Testing
- Cultural Differences and Values
- Face Recognition and Perception
- Mental Health and Psychiatry
- Mental Health Research Topics
- Language Development and Disorders
- Alzheimer's disease research and treatments
- Neural and Behavioral Psychology Studies
- Resilience and Mental Health
- Cognitive Functions and Memory
Trinity College Dublin
2022-2024
University of San Andrés
2020-2024
Consejo Nacional de Investigaciones Científicas y Técnicas
2020-2024
University of California, San Francisco
2020-2024
Global Brain Health Institute
2020-2024
Adolfo Ibáñez University
2020-2024
Universidad Nacional de Córdoba
2020-2023
Centro Científico Tecnológico - San Juan
2017-2023
Favaloro University
2016-2020
Instituto de Neurología Cognitiva
2016-2020
Abstract Brain clocks, which quantify discrepancies between brain age and chronological age, hold promise for understanding health disease. However, the impact of diversity (including geographical, socioeconomic, sociodemographic, sex neurodegeneration) on brain-age gap is unknown. We analyzed datasets from 5,306 participants across 15 countries (7 Latin American Caribbean (LAC) 8 non-LAC countries). Based higher-order interactions, we developed a deep learning architecture functional...
Abstract Aging diminishes social cognition, and changes in this capacity can indicate brain diseases. However, the relative contribution of age, diagnosis reserve to especially among older adults global settings, remains unclear when considering other factors. Here, using a computational approach, we combined predictors cognition from diverse sample 1,063 across nine countries. Emotion recognition, mentalizing overall were predicted via support vector regressions various factors, including...
Recent frameworks in cognitive neuroscience and behavioral neurology underscore interoceptive priors as core modulators of negative emotions. However, the field lacks experimental designs manipulating priming emotions via interoception exploring their multimodal signatures neurodegenerative models. Here, we designed a novel task that involves control-exteroceptive conditions followed by post-interoception post-exteroception facial emotion recognition (FER). We recruited 114 participants,...
Interoception (the sensing of inner-body signals) is a multi-faceted construct with major relevance for basic and clinical neuroscience research. However, the neurocognitive signatures this domain (cutting across behavioral, electrophysiological, fMRI connectivity levels) are rarely reported in convergent or systematic fashion. Additionally, various controversies field might reflect caveats standard interoceptive accuracy (IA) indexes, mainly based on heartbeat detection (HBD) tasks. Here we...
The predictive coding theory of allostatic-interoceptive load states that brain networks mediating autonomic regulation and interoceptive-exteroceptive balance regulate the internal milieu to anticipate future needs environmental demands. These functions seem be distinctly compromised in behavioral variant frontotemporal dementia (bvFTD), including alterations network (AIN). Here, we hypothesize bvFTD is typified by an overload.
Abstract Socioeconomic status (SES) negatively impacts cognitive and executive functioning in older adults, yet its effects on socioemotional abilities have not been studied this population. Also, evidence neurocognitive processes associated with ageing primarily comes from Western, educated, industrialized, rich, democratic (WEIRD) populations, hindering the generalization of findings to persons upper-middle- low‐middle‐income countries, such as those Latin America. Here, we compared...
Measures of social cognition have now become central in neuropsychology, being essential for early and differential diagnoses, follow-up, rehabilitation a wide range conditions. With the scientific world becoming increasingly interconnected, international neuropsychological medical collaborations are burgeoning to tackle global challenges that mental health These initiatives commonly merge data across diversity populations countries, while ignoring their specificity.
Brain functional connectivity in dementia has been assessed with dissimilar EEG metrics and estimation procedures, thereby increasing results' heterogeneity. In this scenario, joint analyses integrating information from different may allow for a more comprehensive characterization of brain interactions subtypes. To test hypothesis, resting-state electroencephalogram (rsEEG) was recorded individuals Alzheimer's Disease (AD), behavioral variant frontotemporal (bvFTD), healthy controls (HCs)....
Disease-specific mechanisms underlying emotion recognition difficulties in behavioural-variant frontotemporal dementia (bvFTD), Alzheimer's disease (AD), and Parkinson's (PD) are unknown. Interoceptive accuracy, accurately detecting internal cues (e.g., one's heart beating), cognitive abilities candidate recognition. One hundred sixty-eight participants (52 bvFTD; 41 AD; 24 PD; 51 controls) were recruited. Emotion was measured via the Facial Affect Selection Task or Mini-Social Emotional...
Diversity in brain health is influenced by individual differences demographics and cognition. However, most studies on diseases have typically controlled for these factors rather than explored their potential to predict signals. Here, we assessed the role of (age, sex, education; n = 1,298) cognition (n 725) as predictors different metrics usually used case-control studies. These included power spectrum aperiodic (1/f slope, knee, offset) metrics, well complexity (fractal dimension...
Abstract Objective. 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 highlight critical role biomarkers. Thus, novel cost-effective complementary approaches required clinical settings. Approach . We developed a framework based on gradient boosting machine learning...
The treatment of neurodegenerative diseases is hindered by lack interventions capable steering multimodal whole-brain dynamics towards patterns indicative preserved brain health. To address this problem, we combined deep learning with a model reproducing functional connectivity in patients diagnosed Alzheimer’s disease (AD) and behavioral variant frontotemporal dementia (bvFTD). These models included disease-specific atrophy maps as priors to modulate local parameters, revealing increased...
Abstract The Latin American Brain Health Institute (BrainLat) has released a unique multimodal neuroimaging dataset of 780 participants from American. includes 530 patients with neurodegenerative diseases such as Alzheimer’s disease (AD), behavioral variant frontotemporal dementia (bvFTD), multiple sclerosis (MS), Parkinson’s (PD), and 250 healthy controls (HCs). This (62.7 ± 9.5 years, age range 21–89 years) was collected through multicentric effort across five countries to address the need...
Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) lack mechanistic biophysical modeling in diverse, underrepresented populations. Electroencephalography (EEG) is a high temporal resolution, cost-effective technique for studying globally, but lacks models produces non-replicable results.
Abstract Cognitive studies on Parkinson’s disease (PD) reveal abnormal semantic processing. Most research, however, fails to indicate which conceptual properties are most affected and capture patients’ neurocognitive profiles. Here, we asked persons with PD, healthy controls, individuals behavioral variant frontotemporal dementia (bvFTD, as a control group) read concepts (e.g., ‘sun’) list their features hot ). Responses were analyzed in terms of ten word (including concreteness,...
Abstract INTRODUCTION Early detection of both objective and subjective cognitive impairment is important. Subjective complaints in healthy individuals can precede deficits. However, the differential associations cognition with modifiable dementia risk factors are unclear. METHODS We gathered a large cross‐sectional sample ( N = 3327, age 18 to 84) via smartphone app quantified 13 memory problems three measures executive function (visual working memory, flexibility, model‐based planning)....
Social feedback can selectively enhance learning in diverse domains. Relevant neurocognitive mechanisms have been studied mainly healthy persons, yielding correlational findings. Neurodegenerative lesion models, coupled with multimodal brain measures, complement standard approaches by revealing direct multidimensional correlates of the phenomenon. To this end, we assessed socially reinforced and non-socially 40 participants as well persons behavioural variant frontotemporal dementia (n =...
Abstract Neurodegeneration has multiscalar impacts, including behavioral, neuroanatomical, and neurofunctional disruptions. Can disease-differential alterations be captured across such dimensions using naturalistic stimuli? To address this question, we assessed comprehension of four stories, highlighting action, nonaction, social, nonsocial events, in Parkinson’s disease (PD) behavioral variant frontotemporal dementia (bvFTD) relative to Alzheimer’s patients healthy controls. Text-specific...