A5025961533- Memory and Neural Mechanisms
- Child and Animal Learning Development
- Memory Processes and Influences
- Science Education and Pedagogy
- Identity, Memory, and Therapy
- Functional Brain Connectivity Studies
- Educational Strategies and Epistemologies
- Artificial Intelligence in Healthcare
- Pediatric Pain Management Techniques
- Musculoskeletal pain and rehabilitation
- Online Learning and Analytics
- Heart Rate Variability and Autonomic Control
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Machine Learning and Data Classification
- Neural dynamics and brain function
- Scoliosis diagnosis and treatment
- Attention Deficit Hyperactivity Disorder
- Anesthesia and Pain Management
- Autism Spectrum Disorder Research
McGill University
2021-2025
Office of Science
2023
Chronic pain is a complex condition influenced by combination of biological, psychological and social factors. Using data from the UK Biobank (n = 493,211), we showed that spreads proximal to distal sites developed biopsychosocial model predicted number coexisting sites. This data-driven was used identify risk score classified various chronic conditions (area under curve (AUC) 0.70-0.88) pain-related medical (AUC 0.67-0.86). In longitudinal analyses, development widespread pain, spreading...
Self-related representation can enhance perception and memory —a phenomenon known as the self-referential effect (SRE). While SRE has been linked to activation of default mode network (DMN), including precuneus/posterior cingulate cortex (Pcu/PCC) medial prefrontal (mPFC), underlying neurochemical processes DMN activations remain unclear. The balance excitation inhibition (E/I balance) within brain circuits is crucial for cognition may play a role in SRE. We examine whether ratio...
Abstract Information learned in relation to oneself is typically better remembered, termed the self‐reference effect (SRE). This study aimed elucidate developmental trajectory of SRE recollection and source memory from mid‐childhood young adulthood. In 2018–2019 Baltimore, Maryland, 136 seven‐ thirty‐year‐olds (77 female; approximately 80% White, 15% Asian American, 5% Black) viewed objects on one two backgrounds answered a self‐referential or semantic question for each. A recognition test...
Abstract Structural and functional differences in the hippocampus have been related to episodic memory social impairments observed autism spectrum disorder (ASD). In neurotypical individuals, hippocampal–cortical connectivity systematically varies between anterior posterior hippocampus, with changes during typical development. It remains unknown whether this specialization of anterior–posterior hippocampal is disrupted ASD, age‐related exist ASD. We examined an ASD ( N = 139) non‐autistic...
Children's hypothetical reasoning about a complex and dynamic causal system was investigated. Predominantly White, middle-class 5- to 7-year-old children from the Greater Toronto Area learned novel food chains were asked consider effects of removing one species on others. In Study 1 (N = 72; 36 females, males; 2018), 7-year-olds answered questions both direct indirect with high degree accuracy, whereas 5-year-olds performed at chance. Six-year-olds showed intermediate performance. Using...
Pain catastrophizing in children and adolescents has been associated to unfavorable postsurgical outcomes. However, pain is rarely measured throughout the perioperative period. Using a prospective longitudinal approach, present study aimed identify how changes over period pediatric surgical patients with adolescent idiopathic scoliosis.Adolescent undergoing spinal fusion surgery completed Catastrophizing Scale for Children additional questionnaires assess intensity, state trait anxiety,...
Abstract Recollection of past events has been associated with the core recollection network comprising posterior medial temporal lobe and parietal regions, as well prefrontal cortex (mPFC). The development brain basis for is understudied. In a sample adults (n = 22; 18–25 years) children 23; 9–13 years), present study aimed to address this knowledge gap using cued recall paradigm, known elicit experience. Successful was activations in regions frontoparietal network. Adults exhibited greater...
Machine Learning (ML) may be a promising tool for predicting student success.Our research aims to predict performance in specific STEM courses using ML.Self-reported scores on learning strategies, metacognitive awareness, mindset, and misconceptions about the were evaluated along with analytics grades.The model demonstrated high correlation between attributes an initial classifier accuracy of 78%.This approach is tailoring our strategies courses.