Cognitive Neuroimaging Lab

Emotional Responses (Intensity/Valence) Fulfill RDoC Criteria but Remain Excluded From Diagnostic Classifications of Mood Disorders

OBJECTIVES: Categorical classifications of depression, such as DSM-5 and ICD, are limited by high clinical heterogeneity, arbitrary diagnostic thresholds, and weak links to underlying pathophysiology. In line with the Research Domain Criteria (RDoC) framework, this article propos...

Strategies for integrating artificial intelligence and cognitive assessment to predict disability progression in relapsing-remitting multiple sclerosis: A model development study

Serial cognitive assessment in multiple sclerosis can help identify patients at higher risk of disability progression, but high dimensionality of reaction-time data makes analysis challenging. We developed a method to convert longitudinal reaction-time data into images and applie...

Transcriptional and histopathological profiling of skeletal muscle in Bla/J mice at the stage of dysferlinopathy manifestation

Dysferlinopathy is a rare muscular dystrophy characterized by chronic muscle damage and ineffective regeneration. While late-stage morphological changes, such as fibroadipose replacement, are well described, the early molecular mechanisms driving muscle fiber loss and regenerativ...

Affect labeling down-regulates amygdala only in a dominant native language

A successful strategy to down-regulate emotions is to simply label them (e.g., saying “I’m sad” when feeling sad). It however remains unresolved which mechanism is responsible for the efficacy of this approach known as affect labeling. Here, we constrain the proposed mechanisms o...

Nested contextual change and the temporal compression of episodic memory

Abstract How does the structure of events influence the when and the where of life experiences in comparison to the what? We developed a novel virtual reality (VR) environment to understand how the quantity of information within nested structures influence participants’ memory fo...