Xiaofu He
Dados Biográficos
| ID | 7377341 |
|---|---|
| NOME | Xiaofu He |
| PRENOMES | Xiaofu |
| SOBRENOME | He |
| ASSINATURA | HE X |
| AFILIAÇÕES | Columbia University Irving Medical Center |
| ORCID | 0000-0002-7401-1656 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 6 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 6 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2024 |
| ÍNDICE H | 0 |
Characteristics of Adolescents with and without a Family History of Substance Use Disorder from a Minority Cohort
Family history (FH+) of substance use disorder (SUD) is an established risk factor for offspring SUD. The extent to which offspring psychological traits or the family environment, each of which may be relevant to familial transmission of SUD risk, vary by FH+ in socioeconomically disadvantaged populations is less clear. We compared the family/social environmental and psychological characteristics of 73 FH+ and 69 FH- youth ages 12-16, from a stud…
Socioeconomic factors, sleep timing and duration, and amygdala resting-state functional connectivity in children
Introduction Reduced sleep health has been consistently linked with increased negative emotion in children. While sleep characteristics have been associated with neural function in adults and adolescents, much less is known about these associations in children while considering socioeconomic context. In this study, we examined the associations among socioeconomic factors, sleep duration and timing, and resting-state functional connectivity (rsFC)…
Explaining deep learning-based representations of resting state functional connectivity data
This study introduced latent contribution scores to interpret nonlinear patterns identified by VAEs. These scores effectively capture changes in each observed rsFC feature as the estimated latent representation changes, enabling an explainable deep learning model that better understands the underlying neural mechanisms of ASD
Environmental noise, brain structure, and language development in children
Distinct Features of Cerebral Blood Flow and Spontaneous Neural Activity as Integrated Predictors of Early Response to Antidepressants
Distinct features of CBF and ALFF in the frontal striatal network may serve as promising neuroimaging predictors for identifying patients with blunted responsiveness, which may facilitate personalized antidepressant treatment
Socioeconomic Disparities in Language Input Are Associated With Children's Language-Related Brain Structure and Reading Skills
The mechanisms underlying socioeconomic disparities in children's reading skills are not well understood. This study examined associations among socioeconomic background, home linguistic input, brain structure, and reading skills in 5-to-9-year-old children (N = 94). Naturalistic home audio recordings and high-resolution, T1-weighted MRI scans were acquired. Children who experienced more adult–child conversational turns or adult words had greater…
Sem obras proeminentes nesta página.
Socioeconomic Disparities in Language Input Are Associated With Children's Language-Related Brain Structure and Reading Skills
The mechanisms underlying socioeconomic disparities in children's reading skills are not well understood. This study examined associations among socioeconomic background, home linguistic input, brain structure, and reading skills in 5-to-9-year-old children (N = 94). Naturalistic home audio recordings and high-resolution, T1-weighted MRI scans were acquired. Children who experienced more adult–child conversational turns or adult words had greater…
Environmental noise, brain structure, and language development in children
Distinct Features of Cerebral Blood Flow and Spontaneous Neural Activity as Integrated Predictors of Early Response to Antidepressants
Distinct features of CBF and ALFF in the frontal striatal network may serve as promising neuroimaging predictors for identifying patients with blunted responsiveness, which may facilitate personalized antidepressant treatment
Characteristics of Adolescents with and without a Family History of Substance Use Disorder from a Minority Cohort
Family history (FH+) of substance use disorder (SUD) is an established risk factor for offspring SUD. The extent to which offspring psychological traits or the family environment, each of which may be relevant to familial transmission of SUD risk, vary by FH+ in socioeconomically disadvantaged populations is less clear. We compared the family/social environmental and psychological characteristics of 73 FH+ and 69 FH- youth ages 12-16, from a stud…
Socioeconomic factors, sleep timing and duration, and amygdala resting-state functional connectivity in children
Introduction Reduced sleep health has been consistently linked with increased negative emotion in children. While sleep characteristics have been associated with neural function in adults and adolescents, much less is known about these associations in children while considering socioeconomic context. In this study, we examined the associations among socioeconomic factors, sleep duration and timing, and resting-state functional connectivity (rsFC)…
Explaining deep learning-based representations of resting state functional connectivity data
This study introduced latent contribution scores to interpret nonlinear patterns identified by VAEs. These scores effectively capture changes in each observed rsFC feature as the estimated latent representation changes, enabling an explainable deep learning model that better understands the underlying neural mechanisms of ASD
Psychology (6 obras) · Developmental psychology (5 obras) · Medicine (5 obras) · Neuroscience (4 obras) · Functional Brain Connectivity Studies (3 obras) · Population (3 obras) · Audiology (2 obras) · Clinical Psychology (2 obras) · Clinical Psychology (2 obras) · Cognitive psychology (2 obras)