David C. Glahn
A5074299304- Functional Brain Connectivity Studies
- Genetic Associations and Epidemiology
- Advanced Neuroimaging Techniques and Applications
- Schizophrenia research and treatment
- Bipolar Disorder and Treatment
- Genetics and Neurodevelopmental Disorders
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Advanced MRI Techniques and Applications
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Mental Health Research Topics
- Health, Environment, Cognitive Aging
- Congenital heart defects research
- Bioinformatics and Genomic Networks
- Autism Spectrum Disorder Research
- Cognitive Abilities and Testing
- Epigenetics and DNA Methylation
- Hemispheric Asymmetry in Neuroscience
- Tryptophan and brain disorders
- Memory and Neural Mechanisms
- Electroconvulsive Therapy Studies
- Child and Adolescent Psychosocial and Emotional Development
- Fetal and Pediatric Neurological Disorders
- Stress Responses and Cortisol
Harvard University
2019-2025
Boston Children's Hospital
2019-2025
Boston Children's Museum
2019-2025
National Institute of Mental Health
2025
SUNY Upstate Medical University
2025
Lemuel Shattuck Hospital
2019-2024
Yale University
2015-2024
Hartford Financial Services (United States)
2015-2024
Institute for Community Living
2015-2024
Neuropsychiatric Research Institute
2010-2024
Neural connections, providing the substrate for functional networks, exist whether or not they are functionally active at any given moment. However, it is known to what extent brain regions continuously interacting when "at rest." In this work, we identify major explicit activation networks by carrying out an image-based network analysis of thousands separate maps derived from BrainMap database imaging studies, involving nearly 30,000 human subjects. Independently, extract covarying in...
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of human brain. However, no reference standards currently exist to quantify individual differences metrics over time, contrast growth charts for anthropometric traits such as height weight
The profile of brain structural abnormalities in schizophrenia is still not fully understood, despite decades research using scans. To validate a prospective meta-analysis approach to analyzing multicenter neuroimaging data, we analyzed MRI scans from 2028 patients and 2540 healthy controls, assessed with standardized methods at 15 centers worldwide. We identified subcortical volumes that differentiated ranked them according their effect sizes. Compared had smaller hippocampus (Cohen's...
Abstract An increasingly large number of neuroimaging studies have investigated functionally connected networks during rest, providing insight into human brain architecture. Assessment the functional qualities resting state has been limited by task-independent state, which results in an inability to relate these specific mental functions. However, it was recently demonstrated that similar can be extracted from data and thousands task-based experiments archived BrainMap database. Here, we...
Abstract Activation likelihood estimation (ALE) has greatly advanced voxel‐based meta‐analysis research in the field of functional neuroimaging. We present two improvements to ALE method. First, we evaluate feasibility techniques for correcting multiple comparisons: single threshold test and a procedure that controls false discovery rate (FDR). To these techniques, foci from four different topics within literature were analyzed: overt speech stuttering subjects, color‐word Stroop task,...
Despite decades of research, the pathophysiology bipolar disorder (BD) is still not well understood. Structural brain differences have been associated with BD, but results from neuroimaging studies inconsistent. To address this, we performed largest study to date cortical gray matter thickness and surface area measures magnetic resonance imaging scans 6503 individuals including 1837 unrelated adults BD 2582 healthy controls for group while also examining effects commonly prescribed...
The regional distribution of white matter (WM) abnormalities in schizophrenia remains poorly understood, and reported disease effects on the brain vary widely between studies. In an effort to identify commonalities across studies, we perform what believe is first ever large-scale coordinated study WM microstructural differences schizophrenia. Our analysis consisted 2359 healthy controls 1963 patients from 29 independent international studies; harmonized processing statistical analyses...
Abstract Although there is considerable evidence that patients with schizophrenia fail to activate the dorsolateral prefrontal cortex (DLPFC) degree seen in normal comparison subjects when performing working memory or executive tasks, hypofrontality may be coupled relatively increased activity other brain regions. However, most imaging studies of have focused on DLPFC activity. The goal this work review functional neuroimaging contrasted and healthy during a prototypical task, n‐back...
The default mode network (DMN) comprises a set of regions that exhibit ongoing, intrinsic activity in the resting state and task-related decreases across range paradigms. However, DMN have also been reported as increases, either independently or coactivated with other network. Cognitive subtractions use low-level baseline conditions generally masked functional nature these regions. Using combination activation likelihood estimation, which assesses statistically significant convergence...
Schizophrenia is a devastating neuropsychiatric syndrome associated with distributed brain dysconnectivity that may involve large-scale thalamo-cortical systems. Incomplete characterization of thalamic connectivity in schizophrenia limits our understanding its relationship to symptoms and diagnoses shared clinical presentation, such as bipolar illness, which exist on spectrum. Using resting-state functional magnetic resonance imaging, we characterized 90 patients versus matched controls via:...
Abstract Psychiatric disorders are characterized by major fluctuations in psychological function over the course of weeks and months, but dynamic characteristics brain this timescale healthy individuals unknown. Here, as a proof concept to address question, we present MyConnectome project. An intensive phenome-wide assessment single human was performed period 18 including functional structural connectivity using magnetic resonance imaging, physical health, gene expression metabolomics. A...
The default-mode network, a coherent resting-state brain is thought to characterize basal neural activity. Aberrant connectivity has been reported in host of neurological and psychiatric illnesses persons at genetic risk for such illnesses. Whereas the neurophysiologic mechanisms that regulate are unclear, there growing evidence factors play role. In this report, we estimate importance effects on network by examining covariation patterns functional among 333 individuals from 29 randomly...
Considerable uncertainty exists about the defining brain changes associated with bipolar disorder (BD). Understanding and quantifying sources of can help generate novel clinical hypotheses etiology assist in development biomarkers for indexing disease progression prognosis. Here we were interested case-control differences intracranial volume (ICV) each eight subcortical measures: nucleus accumbens, amygdala, caudate, hippocampus, globus pallidus, putamen, thalamus, lateral ventricles. In a...