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Neural communication operates on both fast synaptic transmission and slower, diffusive extrasynaptic signaling, yet how these two modes jointly organize brain function remains unclear. Here, using the complete synaptic and neuropeptidergic…

神经元与认知 · 定量生物学 2026-04-03 Giridhar Sunil , Habib Benali , Elkaïoum M. Moutuou

The brain is a complex organ characterized by heterogeneous patterns of structural connections supporting unparalleled feats of cognition and a wide range of behaviors. New noninvasive imaging techniques now allow these patterns to be…

神经元与认知 · 定量生物学 2020-04-03 Christopher W. Lynn , Danielle S. Bassett

Electrical brain stimulation is currently being investigated as a therapy for neurological disease. However, opportunities to optimize such therapies are challenged by the fact that the beneficial impact of focal stimulation on both…

The cerebral cortex is composed of multiple cortical areas that exert a wide variety of brain functions. Although human brain neurons are genetically and areally mosaic, the three-dimensional structural differences between neurons in…

Rich, spontaneous brain activity has been observed across a range of different temporal and spatial scales. These dynamics are thought to be important t for efficient neural functioning. Experimental evidence suggests that these neural…

神经元与认知 · 定量生物学 2015-01-21 Peter J. Hellyer , Barbara Jachs , Robert Leech , Claudia Clopath

The corpus callosum, the largest white matter structure in the brain, plays a critical role in interhemispheric communication. Variations in its morphology are associated with various neurological and psychological conditions, making it a…

应用统计 · 统计学 2025-03-05 Zhe Gao , Jin Zhu , Yue Hu , Wenliang Pan , Xueqin Wang

It has become increasingly popular to study the brain as a network due to the realization that functionality cannot be explained exclusively by independent activation of specialized regions. Instead, across a large spectrum of behaviors,…

神经元与认知 · 定量生物学 2014-07-22 Petko Bogdanov , Nazli Dereli , Danielle S. Bassett , Scott T. Grafton , Ambuj K. Singh

Predicting how the brain can be driven to specific states by means of internal or external control requires a fundamental understanding of the relationship between neural connectivity and activity. Network control theory is a powerful tool…

神经元与认知 · 定量生物学 2019-08-12 Teresa M. Karrer , Jason Z. Kim , Jennifer Stiso , Ari E. Kahn , Fabio Pasqualetti , Ute Habel , Danielle S. Bassett

Encoding brain regions and their connections as a network of nodes and edges captures many of the possible paths along which information can be transmitted as humans process and perform complex behaviors. Because cognitive processes involve…

神经元与认知 · 定量生物学 2016-12-21 Ann Sizemore , Chad Giusti , Ari Kahn , Richard F. Betzel , Danielle S. Bassett

The brain is a highly complex organ consisting of a myriad of subsystems that flexibly interact and adapt over time and context to enable perception, cognition, and behavior. Understanding the multi-scale nature of the brain, i.e., how…

神经元与认知 · 定量生物学 2025-01-17 Adam S. Charles

Functional brain network has been widely studied to understand the relationship between brain organization and behavior. In this paper, we aim to explore the functional connectivity of brain network under a \emph{multi-step} cognitive task…

神经元与认知 · 定量生物学 2017-12-06 Shi-Min Cai , Wei Chen , Dong-Bai Liu , Ming Tang , Xun Chen

Human brain dynamics can be profitably viewed through the lens of statistical mechanics, where neurophysiological activity evolves around and between local attractors representing preferred mental states. Many physically-inspired models of…

神经元与认知 · 定量生物学 2016-09-06 Arian Ashourvan , Shi Gu , Marcelo G. Mattar , Jean M. Vettel , Danielle S. Bassett

In this article, we study association between the structural connectome and cognitive profiles using a multi-response nonparametric regression model.The cognitive profiles are measured in terms of seven age-adjusted cognitive test scores.…

统计方法学 · 统计学 2022-12-06 Arkaprava Roy

There is a growing interest in using diffusion MRI to study the white matter tracts and structural connectivity of the fetal brain. Recent progress in data acquisition and processing suggests that this imaging modality has a unique role in…

神经元与认知 · 定量生物学 2024-08-09 Camilo Calixto , Matheus D. Soldatelli , Bo Li , Lana Pierotich , Ali Gholipour , Simon K. Warfield , Davood Karimi

Mapping the connectivity of neurons in the brain (i.e., connectomics) is a challenging problem due to both the number of connections in even the smallest organisms and the nanometer resolution required to resolve them. Because of this,…

神经元与认知 · 定量生物学 2014-09-08 Ting Zhao , Stephen M Plaza

Network control theory has recently emerged as a promising approach for understanding brain function and dynamics. By operationalizing notions of control theory for brain networks, it offers a fundamental explanation for how brain dynamics…

定量方法 · 定量生物学 2020-03-20 Shikuang Deng , Shi Gu

Analyzing the brain in terms of organizational structures at intermediate scales provides an approach to negotiate the complexity arising from interactions between its large number of components. Focusing on a wiring diagram that spans the…

神经元与认知 · 定量生物学 2023-01-10 Anand Pathak , Shakti N. Menon , Sitabhra Sinha

Functional connectome extends the anatomical connectome by capturing the relations between neurons according to their activity and interactions. When these relations are causal, the functional connectome maps how neural activity flows…

神经元与认知 · 定量生物学 2020-11-10 Rahul Biswas , Eli Shlizerman

Tensor-based morphometry (TBM) aims at showing local differences in brain volumes with respect to a common template. TBM images are smooth but they exhibit (especially in diseased groups) higher values in some brain regions called lateral…

With an estimated five million new stroke survivors every year and a rapidly aging population suffering from hyperintensities and diseases of presumed vascular origin that affect white matter and contribute to cognitive decline, it is…

神经元与认知 · 定量生物学 2020-05-21 Abdelrahman Zayed , Yasser Iturria-Medina , Arno Villringer , Bernhard Sehm , Christopher J. Steele
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