Current studies at LINC emphasize cross-disciplinary collaboration, multi-scale data integration, and advanced analytics.
Precision Mapping of Individualized Executive Networks in Youth
We will define personalized functional networks in multiple large-scale datasets, in order to define how the functional network topography evolves with age and is linked to executive function in youth. This project was selected for the NIH MERIT award for long-term funding support.
Linking the Development of Association Cortex Plasticity to Trans-Diagnostic Psychopathology
Association cortex undergoes protracted development throughout adolescence but the mechanisms underlying such plasticity remain sparsely described in humans. Here we will use large-scale neuroimaging data resources and advanced machine learning to describe how association cortex plasticity develops, and how individual differences in plasticity are linked to common psychiatric symptoms. This award was renewed for a second 5-year project period in 2023.
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, in this award we seek to develop new techniques that describe the coupling between disparate imaging methods that provide complementary aspects of brain structure and function. This award was renewed for a second 5-year project period in 2022, focused on inter-modal coupling in brain networks.
Personalized Functional Network Modeling to Characterize and Predict Psychopathology in Youth
In this project, we will develop next generation deep learning techniques to define personalized functional networks that can be used in large-scale datasets to predict major dimensions of psychopathology in youth.
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
Large-scale Imaging Studies to Understand Affective Instability in Youth
This study takes a data-science approach to understand affective instability in youth, leveraging large-scale repositories of imaging data.
Systematic Evaluation of Neuroimaging as a Biomarker for Pain
This effort supports a series of comprehensive meta-analyses 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.
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 – 08/31/23
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.
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 - 01/01/2020
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.
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.