A5031168514- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- EEG and Brain-Computer Interfaces
- Mental Health Research Topics
- Mind wandering and attention
- Advanced Neuroimaging Techniques and Applications
- Attention Deficit Hyperactivity Disorder
- Advanced MRI Techniques and Applications
- Health, Environment, Cognitive Aging
- Neonatal and fetal brain pathology
- Visual perception and processing mechanisms
- Memory Processes and Influences
- Cognitive Functions and Memory
- Aesthetic Perception and Analysis
- Visual Attention and Saliency Detection
- Cognitive Science and Mapping
- Cognitive Abilities and Testing
- Face Recognition and Perception
- Creativity in Education and Neuroscience
- Child and Adolescent Psychosocial and Emotional Development
- Stress Responses and Cortisol
- Dementia and Cognitive Impairment Research
- Health disparities and outcomes
- Color perception and design
University of Chicago
2019-2025
Neuroscience Institute
2021-2024
Neurosciences Institute
2021-2023
Yale University
2014-2022
University of Illinois Chicago
2020-2021
University of California, San Diego
2019
Institute of Psychology
2016
VA Boston Healthcare System
2011-2014
University of New Haven
2014
Boston University
2013
People's ability to think creatively is a primary means of technological and cultural progress, yet the neural architecture highly creative brain remains largely undefined. Here, we employed recently developed method in functional imaging analysis-connectome-based predictive modeling-to identify network associated with high-creative ability, using magnetic resonance (fMRI) data acquired from 163 participants engaged classic divergent thinking task. At behavioral level, found strong...
Despite growing recognition that attention fluctuates from moment-to-moment during sustained performance, prevailing analysis strategies involve averaging data across multiple trials or time points, treating these fluctuations as noise. Here, using alternative approaches, we clarify the relationship between ongoing brain activity and performance attention. We introduce a novel task (the gradual onset continuous task), along with innovative procedures probe relationships reaction (RT)...
Psilocybin has shown promise for the treatment of mood disorders, which are often accompanied by cognitive dysfunction including rigidity. Recent studies have proposed neuropsychoplastogenic effects as mechanisms underlying enduring therapeutic psilocybin. In an open-label study 24 patients with major depressive disorder, we tested psilocybin therapy on flexibility (perseverative errors a set-shifting task), neural (dynamics functional connectivity or dFC via magnetic resonance imaging), and...
The personality dimensions of neuroticism and extraversion are strongly associated with emotional experience affective disorders. Previous studies reported functional magnetic resonance imaging (fMRI) activity correlates these traits, but no study has used brain-based measures to predict them. Here, using a fully cross-validated approach, we novel individuals' from connectivity (FC) data observed as they simply rested during fMRI scanning. We applied data-driven technique, connectome-based...
The ability to sustain attention differs across people and changes within a single person over time. Although recent work has demonstrated that patterns of functional brain connectivity predict individual differences in sustained attention, whether these same capture fluctuations individuals remains unclear. Here, five independent studies, we demonstrate the connectome-based predictive model (CPM), validated function, generalizes attentional state from data collected minutes, days, weeks,...
Dynamic functional connectivity (DFC) aims to maximize resolvable information from brain scans by considering temporal changes in network structure. Recent work has demonstrated that static, i.e. time-invariant resting-state and task-based FC predicts individual differences behavior, including attention. Here, we show DFC attention performance across individuals. Sliding-window matrices were generated fMRI data collected during rest task calculating Pearson's r between every pair of nodes a...
Although sustaining a moderate level of attention is critical in daily life, evidence suggests that not deployed consistently, but rather fluctuates from moment to between optimal and suboptimal states. To better characterize these states humans, the present study uses gradual-onset continuous performance task with irrelevant background distractors explore relationship among behavioral fluctuations, brain activity, and, particular, processing visual distractors. Using fMRI, we found reaction...
Although we typically talk about attention as a single process, it comprises multiple independent components. But what are these components, and how they represented in the functional organization of brain? To investigate whether long-studied components reflected brain's intrinsic organization, here apply connectome-based predictive modeling (CPM) to predict Posner Petersen's influential model attention: alerting (preparing maintaining alertness vigilance), orienting (directing stimulus),...
Abstract Inhibitory interneurons orchestrate information flow across the cortex and are implicated in psychiatric illness. Although interneuron classes have unique functional properties spatial distributions, influence of subtypes on brain function, cortical specialization, illness risk remains elusive. Here, we demonstrate stereotyped negative correlation somatostatin parvalbumin transcripts within human non-human primates. Cortical distributions cell gene markers strongly coupled to...
Recent work has demonstrated that human whole-brain functional connectivity patterns measured with fMRI contain information about cognitive abilities, including sustained attention. To derive behavioral predictions from patterns, our group developed a connectome-based predictive modeling (CPM) approach (Finn et al., 2015; Rosenberg 2016). Previously using CPM, we defined high-attention network, comprising connections positively correlated performance on attention task, and low-attention...
Resting-state functional connectivity (rs-FC) is a promising neuromarker for cognitive decline in aging population, based on its ability to reveal differences associated with impairment across individuals, and because rs-fMRI may be less taxing participants than task-based fMRI or neuropsychological tests. Here, we employ an approach that uses rs-FC predict the Alzheimer's Disease Assessment Scale (11 items; ADAS11) scores, which measure range of abilities, novel individuals. We applied this...
Individual differences in working memory relate to performance general cognitive ability. The neural bases of such individual differences, however, remain poorly understood. Here, using a data-driven technique known as connectome-based predictive modeling, we built models predict from whole-brain functional connectivity patterns. Using n-back or rest data the Human Connectome Project, significantly predicted novel individuals' 2-back accuracy. Model predictions also correlated with measures...