A5063025917- Functional Brain Connectivity Studies
- Bipolar Disorder and Treatment
- Treatment of Major Depression
- Mental Health Research Topics
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Tryptophan and brain disorders
- Stress Responses and Cortisol
- Schizophrenia research and treatment
- Neural dynamics and brain function
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Electroconvulsive Therapy Studies
- Neural and Behavioral Psychology Studies
- Child and Adolescent Psychosocial and Emotional Development
- Circadian rhythm and melatonin
- Attention Deficit Hyperactivity Disorder
- Face Recognition and Perception
- Health Literacy and Information Accessibility
- Dementia and Cognitive Impairment Research
- Adolescent and Pediatric Healthcare
- Psychosomatic Disorders and Their Treatments
- Neuroscience and Neuropharmacology Research
- Psychological and Temporal Perspectives Research
- Maternal Mental Health During Pregnancy and Postpartum
- EEG and Brain-Computer Interfaces
University of Calgary
2015-2025
Centre for Mental Health
2023-2024
Ontario Brain Institute
2021
St. Joseph’s Healthcare Hamilton
2019
McMaster University
2019
University of Alberta
2019
Baycrest Hospital
2019
University of Toronto
2019
St. Michael's Hospital
2019
University of Michigan
2019
<h3>Context</h3> Diffusion tensor imaging (DTI) studies in adults with bipolar disorder (BD) indicate altered white matter (WM) the orbitomedial prefrontal cortex (OMPFC), potentially underlying abnormal corticolimbic connectivity and mood dysregulation BD. <h3>Objective</h3> To use tract-based spatial statistics (TBSS) to examine WM skeleton (ie, most compact whole-brain WM) subjects BD vs healthy control subjects. <h3>Design</h3> Cross-sectional, case-control, DTI using TBSS....
Transition from school to university can cause concern for many students. One issue is the gap between students' prior expectations and realities of life, which significant distress, poor academic performance increased drop-out rates if not managed effectively. Research has shown several similarities in staff students regards factors determine success, but there also evidence dissonance. For example, consider independent study critical evaluation as key factors, whereas view feedback on...
Objective: To examine abnormal patterns of frontal cortical‐subcortical activity in response to emotional stimuli euthymic individuals with bipolar disorder type I order identify trait‐like, pathophysiologic mechanisms the disorder. We examined potential confounding effects total psychotropic medication load and illness variables upon neural abnormalities. Method: analyzed 19 24 healthy mild intense happy, fearful neutral faces. Results: Relative individuals, subjects had significantly...
Neural substrates of emotion dysregulation in adolescent suicide attempters remain unexamined.We used functional magnetic resonance imaging to measure neural activity neutral, mild or intense (i.e., 0%, 50% 100% intensity) face morphs two separate emotion-processing runs (angry and happy) three groups: (1) history attempt depression (ATT, n=14) ; (2) alone (NAT, n=15) (3) healthy controls (HC, n=15). Post-hoc analyses were conducted on interactions from 3 group x condition (intensities)...
Major Depressive Disorder (MDD) is among the most prevalent and disabling medical conditions worldwide. Identification of clinical biological markers ("biomarkers") treatment response could personalize decisions lead to better outcomes. This paper describes aims, design, methods a discovery study biomarkers in antidepressant response, conducted by Canadian Biomarker Integration Network Depression (CAN-BIND). The CAN-BIND research program investigates identifies that help predict outcomes...
Abstract Neuroimaging-based brain age is a biomarker that generated by machine learning (ML) predictions. The gap (BAG) typically defined as the difference between predicted and chronological age. Studies have consistently reported positive BAG in individuals with schizophrenia (SCZ). However, there little understanding of which specific factors drive ML-based predictions, leading to limited biological interpretations BAG. We gathered data from three publicly available databases - COBRE,...
Major depressive disorder (MDD) is a heterogeneous clinical syndrome with widespread subtle neuroanatomical correlates. Our objective was to identify the dimensions that characterize MDD and predict treatment response selective serotonin reuptake inhibitor (SSRI) antidepressants or placebo. In COORDINATE-MDD consortium, raw MRI data were shared from international samples (
Mourão‐Miranda J, Almeida JRC, Hassel S, de Oliveira L, Versace A, Marquand AF, Sato JR, Brammer M, Phillips ML. Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar bipolar depression. Bipolar Disord 2012: 14: 451–460. © 2012 The Authors. Journal compilation John Wiley & Sons A/S. Objectives: Recently, pattern approaches have been used to classify patterns activity sensory or cognitive processes. In the clinical context, these mainly applied...
To report the symptomatic and functional outcomes in patients with major depressive disorder (MDD) during a 2-phase treatment trial to estimate value of early improvement after 2 weeks predicting clinical response escitalopram subsequently adjunctive aripiprazole.Participants MDD (N = 211) identified Montgomery-Asberg Depression Rating Scale (MADRS) confirmed Mini-International Neuropsychiatric Interview were recruited from 6 outpatient centers across Canada (August 2013 through December...
With improvements to both scan quality and facial recognition software, there is an increased risk of participants being identified by a 3D render their structural neuroimaging scans, even when all other personal information has been removed. To prevent this, features should be removed before data are shared or openly released, but while several publicly available software algorithms do no comprehensive review accuracy within the general population. address we tested multiple on 300 scans...
Studies of clinical populations that combine MRI data generated at multiple sites are increasingly common. The Canadian Biomarker Integration Network in Depression (CAN-BIND; www.canbind.ca) is a national depression research program includes multimodal neuroimaging collected several across Canada. purpose the current paper to provide detailed information on imaging protocols used number CAN-BIND studies. implemented series platform-specific protocols, including suite prescribed structural...
Efforts to develop neuroimaging-based biomarkers in major depressive disorder (MDD), at the individual level, have been limited date. As diagnostic criteria are currently symptom-based, MDD is conceptualized as a rather than disease with known etiology; further, neural measures often confounded by medication status and heterogeneous symptom states.