A5069950173- Functional Brain Connectivity Studies
- Musculoskeletal pain and rehabilitation
- Pain Mechanisms and Treatments
- Advanced MRI Techniques and Applications
- Neural dynamics and brain function
- Health, Environment, Cognitive Aging
- Advanced Neuroimaging Techniques and Applications
- Osteoarthritis Treatment and Mechanisms
- Heart Rate Variability and Autonomic Control
- Child and Adolescent Psychosocial and Emotional Development
- Meta-analysis and systematic reviews
- Neuroscience, Education and Cognitive Function
- Advanced Memory and Neural Computing
- Creativity in Education and Neuroscience
- Grit, Self-Efficacy, and Motivation
- Pain Management and Placebo Effect
- Olfactory and Sensory Function Studies
- Racial and Ethnic Identity Research
- Education, Achievement, and Giftedness
- Thermoregulation and physiological responses
- Cognitive Abilities and Testing
- Climate Change and Health Impacts
- Medical Imaging Techniques and Applications
- Vestibular and auditory disorders
- Infrared Thermography in Medicine
Florida International University
2019-2025
University of Florida
2021-2023
University College London
2023
Brooks Institute
2021
University of Havana
2019
We present NiMARE (Neuroimaging Meta‑Analysis Research Environment; RRID:SCR_0173981), a Python library for neuroimaging meta‑analyses and metaanalysis‑related analyses. is an open source, collaboratively‑developed package that implements range of meta‑ analytic algorithms, including coordinate‑ image‑based meta‑analyses, automated annotation, functional decoding, meta‑analytic coactivation modeling. By consolidating methods under common syntax, makes it straightforward users to employ the...
Meta-analyses are invaluable tools for navigating the rapidly expanding scientific literature. Given their high value, ensuring quality of meta-analyses is paramount. We conducted a multifaceted overview, examining each step in manual neuroimaging meta-analysis on large scale. used four novel datasets comprising over 14,000 papers, including fMRI meta-analyses, studies, studies included and associated with image data NeuroVault. Regarding successes, two-thirds stated that they followed...
Academic institutions are increasingly adopting active learning methods to enhance educational outcomes. Using functional magnetic resonance imaging (fMRI), we investigated neurobiological differences between and traditional lecture-based approaches in university physics education. Undergraduate students enrolled an introductory course underwent fMRI session before after a 15-week semester. Coactivation pattern (CAP) analysis was used examine the temporal dynamics of brain states across...
Image-based meta-analysis (IBMA) is a powerful method for synthesizing results from various fMRI studies. However, challenges related to data accessibility and the lack of available tools methods have limited its widespread use. This study examined current state NeuroVault repository developed comprehensive framework selecting analyzing neuroimaging statistical maps within it. By systematically assessing quality NeuroVault's implementing novel selection techniques, we demonstrated...
Autonomic dysregulation may lead to blunted sympathetic reactivity in chronic pain states. responses are controlled by the central autonomic network (CAN). Little research has examined and associations with brain CAN structures presence of pain; thus, present study aims investigate how influences region volumes.
Abstract Brain age predicted differences (brain-PAD: brain minus chronological age) have been reported to be significantly larger for individuals with chronic pain compared those without. However, a debate remains after one article showed no significant differences. Using Gaussian Process Regression, an provides evidence that these negative results might owe the use of mixed samples by reporting differential effect on brain-PAD across types. some remaining methodological issues regarding...
Abstract Macroscale gradients have emerged as a central principle for understanding functional brain organization. Previous studies demonstrated that principal gradient of connectivity in the human exists, with unimodal primary sensorimotor regions situated at one end and transmodal associated default mode network representative abstract functioning other. The significance interpretation macroscale remains topic discussion neuroimaging community, some demonstrating may be described using...
Abstract Background and Objectives Somatosensory function is critical for successful aging. Prior studies have shown declines in somatosensory with age; however, this may be affected by testing site, modality, biobehavioral factors. While are associated peripheral nervous system degradation, little known regarding correlates the central brain structure particular. The objectives of study were to examine age-related using innocuous noxious stimuli, across 2 anatomical sites, considerations...
Abstract The rise of large neuroimaging datasets and multi-dataset mega-analyses brings the power to study interindividual differences in brain structure function on a heretofore unseen scale. However, unknown poorly characterized intra-individual variability continues undermine detection robust brain-behavior associations and, ultimately, our understanding whole. Women’s reproductive health underlie more than half population, but have long been overlooked both inter- brain. To this end,...
The difference between the estimated brain age and chronological ('brain-PAD') could become a clinical biomarker. However, most models were developed for research-grade high-resolution T1-weighted MRIs, limiting their applicability to clinical-grade MRIs from various protocols. We adopted dual-transfer learning strategy develop model agnostic modality, resolution, or slice orientation. retrained convolutional neural network (CNN) using 6281 1559 patients, among 7 modalities 8 scanner models....
Psychological factors have been associated with knee osteoarthritis pain severity and treatment outcomes, yet their combined contribution to phenotypic heterogeneity is poorly understood. In particular, empirically derived psychological profiles must be replicated before they can targeted or considered for studies. The objectives of this study were (1) confirm previously identified using unsupervised clustering methods in persons pain, (2) determine the replicability supervised machine...
Population-based neuroscience offers opportunities to examine important but understudied sociocultural factors such as acculturation. Acculturation refers the extent which an individual retains their cultural heritage and/or adopts receiving society's culture and is particularly salient among Hispanic/Latinx immigrants. Specific acculturative orientations have been linked vulnerability substance use, depression, suicide are known influence family dynamics between caregivers children. Using...
Abstract Macroscale gradients have emerged as a central principle for understanding functional brain organization. Previous studies demonstrated that principal gradient of connectivity in the human exists, with unimodal primary sensorimotor regions situated at one end and transmodal associated default mode network representative abstract functioning other. The significance interpretation macroscale remains topic discussion neuroimaging community, some demonstrating may be described using...
Pain sensitivity and the brain structure are critical in modulating pain may contribute to maintenance of older adults. However, a paucity evidence exists investigating link between morphometry The purpose study was identify profiles healthy, community-dwelling adults using multimodal quantitative sensory testing protocol differentiate based on morphometry.This secondary analysis Neuromodulatory Examination Mobility Across Lifespan (NEPAL) study. Participants completed demographic...
The predicted brain age minus the chronological ('brain-PAD') could become a clinical biomarker. However, most methods were developed to use research-grade high-resolution T1-weighted MRIs, limiting their applicability clinical-grade MRIs from multiple protocols. To overcome this, we adopted double transfer learning approach develop model agnostic modality, resolution, or slice orientation. Using 6,224 among 7 modalities, scanned 1,540 patients using 8 scanners 15 + facilities of University...
Understanding the relationship between structure and function of human brain is one most important open questions in Neurosciences. In particular, Resting State Networks (RSN) more specifically Default Mode Network (DMN) brain, which are defined from analysis functional data lack a definitive justification consistent with anatomical brain. this work, we show that possible connection may naturally rest on idea information flows through neural message-passing dynamics macroscopic structures,...