Current studies at LINC emphasize cross-disciplinary collaboration, multi-scale data integration, and advanced analytics.
Reproducible imaging-based brain growth charts for psychiatry
This project will aggregate, process, curate, and publicly release many of the largest studies of brain development (n>11,000 scans). Specifically, we will harmonize clinical measures across studies to derive comparable dimensions of psychopathology, which are integrated with harmonized functional and structural imaging data. Together, this project will create a large new public resource to study normal brain maturation and developmental abnormalities associated with psychopathology.
07/01/19 – 06/30/24
Longitudinal Mapping of Network Development Underlying Executive Dysfunction in Adolescencee
This proposal seeks to understand how abnormalities of brain network development produce executive dysfunction across psychiatric disorders. To do this, youth with both ADHD and psychosis-spectrum symptoms will be followed with detailed clinical and cognitive assessments over time, as well as advanced multi-modal imaging of evolving brain networks.
Inter-modal Coupling Image Analytics
Most studies of brain imaging collect many image types, but evaluate them in isolation. This project seeks to develop new statistical methods for integrating high-dimensional imaging data. Specifically, we will develop new techniques that describe the local coupling between disparate imaging methods that provide complementary aspects of brain structure and function.
Network Control and Functional Context: Mechanisms for TMS Response
This BRAIN initiative project leverages multi-disciplinary expertise to test the hypothesis that brain responses to transcranial magnetic stimulation are governed both by the network properties of the stimulation site and by the cognitive context of stimulation. Specifically, we predict that stimulation will be more effective if targeted using specific control points in each person’s brain network. Furthermore, we expect that stimulation when a specific brain circuit is already engaged will enhance responses to TMS.
09/01/18 – 08/31/22
Mapping Affective Instability in Youth Using Mobile Phenotyping and Brain Imaging
This study seeks to understand affective instability in young people, including those with borderline personality disorder and related conditions. To do this, we use advanced mobile phenomics to dynamically measure mood, activity, and sleep in real time. These measures are then integrated with multi-modal imaging of brain networks critical for emotion regulation.
01/02/2018 - 01/01/2022
Systematic Evaluation of Neuroimaging as a Biomarker for Pain
This effort supports a series of comprehensive meta-analysis of pain neuroimaging in both healthy volunteers and those with chronic pain conditions. Specific projects include meta-analyses of brain responses to pain in healthy volunteers, differential functional responses to pain in patients with chronic pain, and neurostructural alterations associated with chronic pain.
Longitudinal Multi-modal Neuroimaging of Irritability in Adolescence
The goal of this longitudinal study is to define how abnormal brain development in adolescence predisposes youth to symptoms of irritability. This is a five-year longitudinal follow-up from the Philadelphia Neurodevelopmental Cohort, and examines irritability on a dimensional basis across disorders. We characterize interacting executive and affective networks using multi-modal imaging, detailed clinical interviews, and specialized behavioral probes.
Neuroimaging of Dimensional Reward Dysfunction in Adolescence
This career development award examines reward dysfunction in the context of brain network development in adolescence. Specifically, we look across traditional psychiatric diagnostic categories on a dimensional basis, using multi-modal imaging and neuroeconomic behavioral probes.
Evolution of the Linked Architecture of Network Control and Executive Function in Adolescence
This multi-disciplinary effort seeks to understand mechanisms of how executive function develops in youth. To do this, we use novel measures of network controllability to delineate how specific nodes in the executive system are positioned to alter network dynamics, how these control points evolve in adolescence, and how network control properties predict executive function.
Ultra-high Field, Network-based Imaging of Glutamatergic Deficits in Depressed Youth
This proposal seeks to define glutamatergic abnormalities in depressed youth. To do this, we leverage novel ultra-high field (7T) MRI sequences, such as glutamate chemical exchange saturation, which provides unprecedented spatial coverage, resolution, and sensitivity.