Li et al. introduced tract-geometry coupling (TGC) to quantify the coupling between white matter tracts and cortical geometry in the human brain, shedding light on how the brain’s wiring and shape evo...

A low-bias, lightweight deep learning model for brain age prediction reveals the human brain's aging process through network occlusion sensitivity analysis, identifying the thalamus's dominant role a....

The marmoset is a highly vocal platyrrhine monkey that shares key anatomical and functional features with humans, providing a unique opportunity to illuminate the phylogenetic origins of diverging con...

The marmoset is a highly vocal platyrrhine monkey that shares key anatomical and functional features with humans, providing a unique opportunity to illuminate the phylogenetic origins of diverging con...

Repetitive transcranial magnetic stimulation is used to treat various neuropsychiatric but its considerable power consumption and large size limit its potential for broader utility. Here, the authors ...

Genes Determine Cortical Connectivity Heterogeneity Deying Li, Yufan Wang, Liang Ma, Yaping Wang, Luqi Cheng et al. (see article e1510242024) Genetic information guides how the neural tube develop...

Traditionally considered a motor structure, the cerebellum has been shown to play a key role in several cognitive functions. However, for decades, the cerebellum has been largely overlooked and even d...

A combination of machine-learning techniques and more traditional modeling approaches can use the unique patterns of brain activity that evolve over time to predict traits such as age and cognitive…

Reproducibility of neuroimaging research on infant brain development remains limited due to highly variable protocols and processing approaches. Progress towards reproducible pipelines is limited by a...

Genetic information is involved in the gradual emergence of cortical areas since the neural tube begins to form, shaping the heterogeneous functions of neural circuits in the human brain. Informed by ...

Understanding the early development of brain connectivity is essential for unraveling the mechanisms of brain maturation. In this study, we utilized diffusion MRI data from 242 term neonates to chart ...

By Greta Tuckute, Dawn Finzi & 9 more. Neuroscience has made significant progress building large-scale artificial neural network models of brain activity and behavior. This article explores opinions i...

Chimpanzees (Pan troglodytes) are one of humans' closest living relatives, making them the most directly relevant comparison point for understanding human brain evolution. Zeroing in on the differences in brain connectivity between humans and chimpanzees can provide key insights into the specific evolutionary changes that might have occurred along the human lineage. However, such comparisons are hindered by the absence of cross-species brain atlases established within the same framework. To address this gap, we developed the Chimpanzee Brainnetome Atlas (ChimpBNA) using a connectivity-based parcellation framework.

This paper aims to bridge progress in neuroscience involving sophisticated quantitative analysis of behavior, including the use of robust control, ...