A5101590761- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Biometric Identification and Security
- User Authentication and Security Systems
- Remote-Sensing Image Classification
- Child and Adolescent Psychosocial and Emotional Development
- Advanced MRI Techniques and Applications
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Face and Expression Recognition
- Stress Responses and Cortisol
- Spectroscopy and Chemometric Analyses
- Vestibular and auditory disorders
- Eating Disorders and Behaviors
- Obsessive-Compulsive Spectrum Disorders
- Image Retrieval and Classification Techniques
- Anesthesia and Neurotoxicity Research
- Mental Health Research Topics
- EEG and Brain-Computer Interfaces
- Cell Image Analysis Techniques
- Spectroscopy Techniques in Biomedical and Chemical Research
- Optical Imaging and Spectroscopy Techniques
- Remote Sensing and Land Use
- Advanced Clustering Algorithms Research
- Traumatic Brain Injury Research
- Advanced Image and Video Retrieval Techniques
Columbia University
2016-2025
New York State Psychiatric Institute
2015-2025
Columbia University Irving Medical Center
2013-2024
New York University
2023
New York Psychoanalytic Society and Institute
2012-2022
RELX Group (Netherlands)
2021-2022
Manhattan Psychiatric Center
2021
Shenzhen University
2021
Shandong University
2016
East China Normal University
2008-2012
Recent findings indicate robust associations between socioeconomic status (SES) and brain structure in children, raising questions about the ways which SES may modify structural development. In general, cortical thickness surface area develop nonlinear patterns across childhood adolescence, with developmental varying to some degree by region. Here, we examined whether age-related changes varied SES, as indexed family income parental education. We hypothesized that disparities change be...
The mechanisms underlying socioeconomic disparities in children's reading skills are not well understood. This study examined associations among background, home linguistic input, brain structure, and 5‐to‐9‐year‐old children ( N = 94). Naturalistic audio recordings high‐resolution, T1‐weighted MRI scans were acquired. Children who experienced more adult–child conversational turns or adult words had greater left perisylvian cortical surface area. Language input mediated the association...
Recent imaging studies have shown that brain morphology and neural activity during sexual arousal differ between homosexual heterosexual men. However, functional differences in networks at the resting state is unknown. The study to characterize association of preference with measures regional homogeneity connectivity state. Participants were 26 healthy men age-matched whom we collected echo planar magnetic resonance data orientation was evaluated using Kinsey Scale. We first assessed group...
The unique neuroanatomical underpinnings of internalizing symptoms and impulsivity during childhood are not well understood. In this study, we examined associations brain structure with anxiety, depression, in children adolescents. Participants were 7- to 21-year-olds (N = 328) from the Pediatric Imaging, Neurocognition, Genetics (PING) study who completed high-resolution, 3-Tesla, T1-weighted MRI self-report measures and/or impulsivity. Cortical thickness surface area across cortical...
Posttraumatic stress disorder (PTSD) is associated with markers of accelerated aging. Estimates brain age, compared to chronological may clarify the effects PTSD on and inform treatment approaches targeting neurobiology aging in context PTSD.Adult subjects (N = 2229; 56.2% male) aged 18-69 years (mean 35.6, SD 11.0) from 21 ENIGMA-PGC sites underwent T1-weighted structural magnetic resonance imaging, assessment (PTSD+, n 884). Previously trained voxel-wise (brainageR) region-of-interest...
There is a growing worldwide trend to implement livestock traceability systems. This paper aims explore how iris analysis and recognition can be utilised on cow identification enhance management in its system. In general, typical system based includes imaging, detection, recognition. First, the image quality of captured sequences assessed clear selected for subsequent process. Second, inner outer boundaries are fitted respectively as two ellipses edge images during segmentation. Then we get...
Major depressive disorder (MDD) is approximately twice as common in females than males. Furthermore, female patients with MDD tend to manifest comorbid anxiety. Few studies have explored the potential anatomical and functional brain changes associated females. Therefore, purpose of present study was investigate underlying females, especially within context anxiety.In this study, we recruited antidepressant-free (N = 35) healthy controls (HC; N 23). The severity depression anxiety were...
Calcium plays an important role in regulating various neuronal activities human brains. Investigating the dynamics of calcium level neurons is essential not just for understanding pathophysiology neuropsychiatric disorders but also as a quantitative gauge to evaluate influence drugs on neuron activities. Accessing brain tissue study has historically been challenging due ethical concerns. However, significant breakthrough field emerged with advent utilizing patient-derived induced pluripotent...
Genetic disruption of SETD1A markedly increases the risk for schizophrenia. To elucidate underlying mechanisms, we generated isogenic organoid models developing human cerebral cortex harboring a loss-of-function schizophrenia mutation. Employing chromatin profiling combined with RNA sequencing, identified high-confidence target genes, analyzed impact mutation on binding and transcriptional regulation validated key findings orthogonal approaches. Disruption function disturbs finely tuned...
The neuroanatomical morphology of nerve fibers is an important description for understanding the pathological aspects nerves. Different from traditional automatic morphometry methods, a molecular hyperspectral imaging system based on acousto-optic tunable filter (AOTF) was developed and used to identify unstained histological sections. hardware, software, performance are presented discussed. gray correction coefficient calibrate system's spectral response remove effects noises artifacts. A...
Abstract To identify the association between functional and structural changes of default mode network (DMN) underlying cognitive impairment in Late-onset depression (LOD), 32 LOD patients 39 normal controls were recruited underwent resting-state fMRI, DTI scans, assessments. Seed-based correlation analysis was conducted to explore connectivity (FC) DMN. Deterministic tractography FC-impaired regions performed examine (SC). Partial analyses employed evaluate those altered FC SC. Compared...
In recent years, iris recognition is becoming a very active topic in both research and practical applications. However, fake potential threat there are threats for iris-based systems. This paper presents novel detection method based on the analysis of 2-D Fourier spectra together with image quality assessment. First, assessment used to exclude defocused, motion blurred iris. Then statistical properties clear detection. Experimental results show that proposed can detect photo printed effectively.
A class-specific random forest (RF) model with cross-correlation constraints is developed for the spectral-spatial hyperspectral image (HSI) classification. The novelties of this letter are as follows: 1) normalization spectral feature vector by using cross correlation in stochastic process and proposal a hybrid extraction based on analysis; 2) establishment an RF classifier trees (CSTs); 3) exploration performance proposed method comparing its several traditional classification methods two...
Recent advances in data-driven computational approaches have been helpful devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited small homogeneous samples, different methodologies, and imaging collection protocols, limit the ability directly compare generalize their results. Here we aimed classify individuals with PTSD versus controls assess generalizability using a large heterogeneous brain datasets from ENIGMA-PGC Working group. We...