A5044771207- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- Mental Health Research Topics
- Health, Environment, Cognitive Aging
- EEG and Brain-Computer Interfaces
- Neonatal and fetal brain pathology
- Transcranial Magnetic Stimulation Studies
- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
- Neurological disorders and treatments
- Heart Rate Variability and Autonomic Control
- Health disparities and outcomes
- Action Observation and Synchronization
- Psychosomatic Disorders and Their Treatments
- Vestibular and auditory disorders
- Fetal and Pediatric Neurological Disorders
- Bariatric Surgery and Outcomes
- Congenital Heart Disease Studies
- Sparse and Compressive Sensing Techniques
- Circadian rhythm and melatonin
- Mental Health Treatment and Access
- Migration, Health and Trauma
- Diet and metabolism studies
Mallinckrodt (United States)
2022-2025
Washington University in St. Louis
2017-2024
University of California, Davis
2019
University of Pittsburgh
2015
Center for the Neural Basis of Cognition
2015
Carnegie Mellon University
2015
Abstract Magnetic resonance imaging (MRI) has transformed our understanding of the human brain through well-replicated mapping abilities to specific structures (for example, lesion studies) and functions 1–3 task functional MRI (fMRI)). Mental health research care have yet realize similar advances from MRI. A primary challenge been replicating associations between inter-individual differences in structure or function complex cognitive mental phenotypes (brain-wide association studies...
The frontoparietal network is critical for our ability to coordinate behavior in a rapid, accurate, and flexible goal-driven manner. In this review, we outline support the framing of as distinct control network, part functioning flexibly interact with alter other functional brain networks. This coordination likely occurs 4 Hz 73 θ/α rhythm, both during resting state task state. Precision mapping individual human brains has revealed that topography variable between individuals, underscoring...
Cognitive control, which continues to mature throughout adolescence, is supported by the ability for well-defined organized brain networks flexibly integrate information. However, development of intrinsic network organization and its relationship observed improvements in cognitive control are not well understood. In present study, we used resting state functional magnetic resonance imaging (RS-fMRI), graph theory, antisaccade task, rigorous head motion characterize relate developmental...
Abstract Motor cortex (M1) has been thought to form a continuous somatotopic homunculus extending down the precentral gyrus from foot face representations 1,2 , despite evidence for concentric functional zones 3 and maps of complex actions 4 . Here, using precision magnetic resonance imaging (fMRI) methods, we find that classic is interrupted by regions with distinct connectivity, structure function, alternating effector-specific (foot, hand mouth) areas. These inter-effector exhibit...
Abstract Magnetic resonance imaging (MRI) continues to drive many important neuroscientific advances. However, progress in uncovering reproducible associations between individual differences brain structure/function and behavioral phenotypes (e.g., cognition, mental health) may have been undermined by typical neuroimaging sample sizes (median N=25) 1,2 . Leveraging the Adolescent Brain Cognitive Development (ABCD) Study 3 (N=11,878), we estimated effect reproducibility of these brain-wide...
An important aspect of network-based analysis is robust node definition. This issue critical for functional brain network analyses, as poor choice can lead to spurious findings and misleading inferences about organization. Two sets nodes from our group are well represented in the literature: (1) 264 volumetric regions interest (ROIs) reported Power et al., 2011, (2) 333 cortical surface parcels Gordon 2016. However, subcortical cerebellar structures either incompletely captured or missing...
Abstract How individual differences in brain network organization track behavioral variability is a fundamental question systems neuroscience. Recent work suggests that resting-state and task-state functional connectivity can predict specific traits at the level. However, most studies focus on single traits, thus not capturing broader relationships across behaviors. In large sample of 1858 typically developing children from Adolescent Brain Cognitive Development (ABCD) study, we show...
Significance The human brain is organized into large networks. One important network the Default network, which enables cognitive functions such as social thinking, memory, and reward. In group-averaged data, this emerges a unitary whole, despite its involvement in multiple functions. Here, we tested whether networks found individual humans, rather than group-average networks, contain substructure. individuals, consistently nine subnetworks within network. These matched activity patterns...
Abstract A pervasive dilemma in neuroimaging is whether to prioritize sample size or scan time given fixed resources. Here, we systematically investigate this trade-off the context of brain-wide association studies (BWAS) using functional magnetic resonance imaging (fMRI). We find that total duration (sample × per participant) robustly explains individual-level phenotypic prediction accuracy via a logarithmic model, suggesting and are broadly interchangeable up 20-30 min data. However,...
The amygdala is central to the pathophysiology of many psychiatric illnesses. An imprecise understanding how fits into larger network organization human brain, however, limits our ability create models dysfunction in individual patients guide personalized treatment. Therefore, we investigated position and its functional subdivisions within brain 10 highly sampled individuals (5 h fMRI data per person). We characterized three each individual. discovered that one subdivision preferentially...
The 21-site Adolescent Brain Cognitive Development (ABCD) study provides an unparalleled opportunity to characterize functional brain development via resting-state connectivity (RSFC) and quantify relationships between RSFC behavior. This multi-site data set includes potentially confounding sources of variance, such as differences collection sites and/or scanner manufacturers, in addition those inherent (e.g., head motion). ABCD project a framework for characterizing reproducing...
Abstract The Adolescent Brain Cognitive Development Study (ABCD), a 10 year longitudinal neuroimaging study of the largest population based and demographically distributed cohort 9-10 olds (N=11,877), was designed to overcome reproducibility limitations prior child mental health studies. Besides fantastic wealth research opportunities, extremely large size ABCD data set also creates enormous storage, processing, analysis challenges for researchers. To ensure privacy safety, researchers are...
Abstract The human brain is active at rest, and spontaneous fluctuations in functional MRI BOLD signals reveal an intrinsic architecture. During childhood adolescence, networks undergo varying patterns of maturation, measures connectivity within between differ as a function age. However, many aspects these developmental (e.g. trajectory shape directionality) remain unresolved. In the present study, we characterised age-related differences within- between-network resting-state (rsFC)...
Spontaneous infra-slow (<0.1 Hz) fluctuations in functional magnetic resonance imaging (fMRI) signals are temporally correlated within large-scale brain networks, motivating their use for mapping systems-level organization. However, recent electrophysiological and hemodynamic evidence suggest state-dependent propagation of fluctuations, implying a role ongoing activity. Crucially, the study temporal lag structure has thus far been limited to large groups, as analyzing delays requires...
Significance The finding that human hippocampal-cortical functional connectivity is nonunitary, separated along network borders (default mode [DMN], self-oriented; parietal memory [PMN], goal-oriented) in the anterior–posterior axis, raises various possibilities as to why this organization might be beneficial and could inform updates current models of hippocampal function, memory, self.
The striatum and cerebral cortex are interconnected via multiple recurrent loops that play a major role in many neuropsychiatric conditions. Primate corticostriatal connections can be precisely mapped using invasive tract-tracing. However, noninvasive human research has not these with anatomical precision, limited part by the practice of averaging neuroimaging data across individuals. Here we utilized highly sampled resting-state functional connectivity MRI for individual-specific precision...
Importance Lower neighborhood and household socioeconomic status (SES) are associated with negative health outcomes altered brain structure in children. It is unclear whether such findings extend to white matter via what mechanisms. Objective To assess how SES independently children’s microstructure examine obesity cognitive performance (reflecting environmental sensory stimulation) plausible mediators. Design, Setting, Participants This cross-sectional study used baseline data from...
Significance Many studies have examined plasticity in the primary somatosensory and motor cortex during disuse, but little is known about how disuse impacts brain outside of cortical areas. We leveraged whole-brain coverage resting-state functional MRI (rs-fMRI) to discover that drives distant executive control regions cingulo-opercular network (CON). Two complementary analyses, pulse censoring addition, demonstrated increased connectivity between CON disused was driven by large, spontaneous...
Abstract The prefrontal cortex (PFC) comprises distinct regions and networks that vary in their trajectories across development. Further understanding these diverging may elucidate the neural mechanisms by which PFC contribute to cognitive maturity. In particular, it remains unclear whether of network affiliations differ topology relationship cognition. We examined 615 individuals (8–21 years) characterize age-related effects participation coefficient 28 networks, evaluating connectivity...