Brain parcellations play a crucial role in the analysis of brain imaging data sets, as they can
significantly affect the outcome of the analysis. In recent years, several novel approaches for …

Deep learning approaches, especially convolutional neural networks (CNNs), have become
the method of choice in the field of medical image analysis over the last few years. This …

Brain mapping studies often need to identify brain structures or functional circuits into a set
of individual brains. To this end, multiple atlases have been published to represent such …

脑图谱是包括大脑功能探索, 神经和认知科学以及临床诊疗在内的脑科学研究的重要工具,
其主要通过神经影像数据, 利用机器学习方法进行构建, 由此产生的分割模式是理解大脑组织和 …

Schizophrenia is a debilitating neuropsychiatric disorder that affects approximately 1% of the
population and poses a major public health problem. Despite over 100 years of study, the …

In recent decades, there has been a growing interest among scholars in the research on
brain dynamics. The fusion of features from different brain atlases has proven to be …

Alzheimer's disease is a devastating neurological condition characterised by the
accumulation of two toxic proteins, amyloid-beta and tau, resulting in neurodegen-eration …

Las imágenes de difusión, combinadas con algoritmos de tractografía, permiten reconstruir
los principales fascículos de materia blanca de manera in vivo. Diversos métodos han sido …

Abstract Die funktionelle Magnet-Resonanz-Tomographie (fMRT, oder fMRI) ist zu einer
wesentlichen Methode in den Neurowissenschaften geworden. Es ist zum Beispiel möglich …

Les affects, émotions et humeurs sont des processus complexes dont le fonctionnement
précis échappe toujours à la neuroscience affective. Un récent mouvement des études IRMf …