Tianye Jia

Jan 31, 2025 | nature.com | Qingyang Li |Miao Cao |Dan Stein |Barbara Sahakian |Tianye Jia |Christelle Langley | +22 more

AbstractLaboratory studies show brain maturation involves synaptic pruning and cognitive development. Human studies suggest links between early cognitive performance and later mental health, but inconsistencies remain. It is unclear if specific brain regions mediate this relationship, and the molecular underpinnings are not well understood.

Jul 14, 2024 | nature.com | Runye Shi |Shitong Xiang |Tianye Jia |Trevor Robbins |Jujiao Kang |Tobias Banaschewski | +21 more

AbstractAdolescents exhibit remarkable heterogeneity in the structural architecture of brain development. However, due to limited large-scale longitudinal neuroimaging studies, existing research has largely focused on population averages, and the neurobiological basis underlying individual heterogeneity remains poorly understood.

Jul 2, 2024 | nature.com | Yang Guo |Chao Xie |Shitong Xiang |Tianye Jia |Lin Lu |Yan Sun | +6 more

Brain function is vulnerable to the consequences of inadequate sleep, an adverse trend that is increasingly prevalent. The REM sleep phase has been implicated in coordinating various brain structures and is hypothesized to have potential links to brain variability. However, traditional imaging research have encountered challenges in attributing specific brain region activity to REM sleep, remained understudied at the whole-brain connectivity level. Through the spilt-night paradigm, distinct patterns of REM sleep phases were observed among the full-night sleep group (n = 36), the early-night deprivation group (n = 41), and the late-night deprivation group (n = 36). We employed connectome-based predictive modeling (CPM) to delineate the effects of REM sleep deprivation on the functional connectivity of the brain (REM connectome) during its resting state. The REM sleep-brain connectome was characterized by stronger connectivity within the default mode network (DMN) and between the DMN and visual networks, while fewer predictive edges were observed. Notably, connections such as those between the cingulo-opercular network (CON) and the auditory network, as well as between the subcortex and visual networks, also made significant contributions. These findings elucidate the neural signatures of REM sleep loss and reveal common connectivity patterns across individuals, validated at the group level.

Jun 4, 2024 | fis.tu-dresden.de | Tianye Jia |Congying Chu |Yun Liu

Abstract External IDs PubMed 31811260

Mar 15, 2024 | onlinelibrary.wiley.com | Di Chen |Tianye Jia |Wei Cheng |Sylvane Desrivières

1 INTRODUCTION Understanding the complex relationship between neuroimaging and human behaviors is a fundamental goal of neuroscience. For this purpose, functional and structural MRI (fMRI and sMRI) as non-invasive neuroimaging techniques with excellent spatial resolution have been widely used to investigate potential neural risk factors (Bulik-Sullivan, Loh, et al., 2015; Ing et al., 2019; Jia et al., 2020).