A5040725058- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- Mental Health Research Topics
- Schizophrenia research and treatment
- Neural and Behavioral Psychology Studies
- Vestibular and auditory disorders
- Attention Deficit Hyperactivity Disorder
- EEG and Brain-Computer Interfaces
- Statistical Methods in Clinical Trials
- Arsenic contamination and mitigation
- Memory Processes and Influences
- Neurological disorders and treatments
- Heart Rate Variability and Autonomic Control
- Child and Adolescent Psychosocial and Emotional Development
- Medical Imaging Techniques and Applications
- Genetic Associations and Epidemiology
- Hearing, Cochlea, Tinnitus, Genetics
- Meta-analysis and systematic reviews
- Neuroscience of respiration and sleep
- Tryptophan and brain disorders
- Bayesian Modeling and Causal Inference
- Geotechnical and Geomechanical Engineering
- Hereditary Neurological Disorders
Zucker Hillside Hospital
2020-2025
Feinstein Institute for Medical Research
2020-2025
Hofstra University
2021-2025
Kunming University of Science and Technology
2024
Northwell Health
2023-2024
Donald & Barbara Zucker School of Medicine at Hofstra/Northwell
2023-2024
Zero to Three
2024
Shandong First Medical University
2024
Shandong Provincial Hospital
2024
Roche (Switzerland)
2023
Abstract Understanding the fundamental alterations in brain functioning that lead to psychotic disorders remains a major challenge clinical neuroscience. In particular, it is unknown whether any state-independent biomarkers can potentially predict onset of psychosis and distinguish patients from healthy controls, regardless paradigm. Here, using multi-paradigm fMRI data North American Prodrome Longitudinal Study consortium, we show individuals at high risk for display an intrinsic...
Major depressive disorder (MDD) is known to be characterized by altered brain functional connectivity (FC) patterns. However, whether and how the features of dynamic FC would change in patients with MDD are unclear. In this study, we aimed characterize using a large multi-site sample novel network-based approach. Resting-state magnetic resonance imaging (fMRI) data were acquired from total 460 473 healthy controls, as part REST-meta-MDD consortium. networks constructed for each subject...
Since the 18th century, p value has been an important part of hypothesis-based scientific investigation. As statistical and data science engines accelerate, questions emerge: to what extent are discoveries based on values reliable reproducible? Should one adjust significance level or find alternatives for value? Inspired by these everlasting attempts address them, here, we provide a systematic examination from its roles merits misuses misinterpretations. For latter, summarize modest...
Abstract There is significant heterogeneity in individual responses to antipsychotic drugs, but there no reliable predictor of antipsychotics response first-episode psychosis. This study aimed investigate whether psychotic symptom-related alterations fractional anisotropy (FA) and mean diffusivity (MD) white matter (WM) at the early stage disorder may aid individualized prediction drug response. Sixty-eight patients underwent baseline structural MRI scans were subsequently randomized receive...
Abstract The multilayer dynamic network model has been proposed as an effective method to understand the brain function. In particular, derived from definition of clustering coefficient in static networks, temporal provides a direct measure topological stability networks and shows potential predicting altered functions. However, test–retest reliability demographic‐related effects on this remain be evaluated. Using data set Human Connectome Project (157 male 180 female healthy adults; 22–37...
While graph theoretical modeling has dramatically advanced our understanding of complex brain systems, the feasibility aggregating connectomic data in large imaging consortia remains unclear. Here, using a battery cognitive, emotional and resting fMRI paradigms, we investigated generalizability functional measures across sites sessions. Our results revealed overall fair to excellent reliability for majority during both rest tasks, particular those quantifying connectivity strength, network...
Although deficits in emotional processing are prominent schizophrenia, it has been difficult to identify neural mechanisms related the genetic risk for this highly heritable illness. Prior studies have not found consistent regional activation or connectivity alterations first-degree relatives compared with healthy controls, suggesting that a more comprehensive search connectomic biomarkers is warranted.To potential systems-level intermediate phenotype linked emotion schizophrenia and examine...
The human brain is a dynamic system, where communication between spatially distinct areas facilitates complex cognitive functions and behaviors. How information transfers regions how it gives rise to cognition, however, are unclear. In this article, using resting-state functional magnetic resonance imaging (fMRI) data from 783 healthy adults in the Human Connectome Project (HCP) dataset, we map brain's directed flow architecture through Granger-Geweke causality prism. We demonstrate that...
Abstract It has previously been shown that cerebello-thalamo-cortical (CTC) hyperconnectivity is likely a state-independent neural signature for psychosis. However, the potential clinical utility of this change not yet evaluated. Here, using fMRI and data acquired from 214 untreated first-episode patients with schizophrenia (62 whom were clinically followed-up at least once 12th 24th months after treatment initiation) 179 healthy controls, we investigated whether CTC would serve as an...
Cerebellar functional dysconnectivity has long been implicated in schizophrenia. However, the detailed pattern and its underlying biological mechanisms have not well-charted. This study aimed to conduct an in-depth characterization of cerebellar maps early schizophrenia.Resting-state fMRI data were processed from 196 drug-naïve patients with first-episode schizophrenia 167 demographically matched healthy controls. The cerebellum was parcellated into nine systems based on a state-of-the-art...
Identification of robust biomarkers that predict individualized response to antipsychotic treatment at the early stage psychotic disorders remains a challenge in precision psychiatry. The aim this study was investigate whether any functional connectome-based neural traits could serve as such biomarker.
Abstract Our recent study has demonstrated that increased connectivity in the cerebello-thalamo-cortical (CTC) circuitry is a state-independent neural trait can potentially predict onset of psychosis. One possible cause such “trait” abnormality would be genetic predisposition. Here, we tested this hypothesis using multi-paradigm functional magnetic resonance imaging (fMRI) data from two independent twin cohorts. In sample 85 monozygotic (MZ) and 52 dizygotic (DZ) healthy pairs acquired Human...
Abstract Background The age-related heterogeneity in major depressive disorder (MDD) has received significant attention. However, the neural mechanisms underlying such still need further investigation. This study aimed to explore common and distinct functional brain abnormalities across different age groups of MDD patients from a large-sample, multicenter analysis. Methods analyzed sample consisted total 1238 individuals including 617 (108 adolescents, 12–17 years old; 411 early-middle...