24 papers · ranked by Valyu relevance
Xiaoyu Zhou, Luiz Pessoa
Functional MRI in the absence of tasks reveals dynamic large-scale configurations. Yet important gaps in our understanding remain: (1) What type of dynamics are observed during brain states? (2) What type of dynamics are observed between brain states? We address these questions by developing a multi-level Switching…
Shaoxian Li, Debin Zeng, Xiaoxi Dong, Yirong He + 7 more
A central objective in neuroscience is to elucidate how the brain generates complex dynamic activity through the interactions of brain areas. In this study, we utilized Interaction Network, a graph neural network model, to develop a computational framework for predicting whole-brain cortical blood oxygenation level…
Jonas Mago, Josh Brahinsky, Mark Miller, Charlotte Maschke + 7 more
Criticality describes a regime between order and chaos that supports flexible yet stable information processing. Here we examine whether neural dynamics can be volitionally shifted toward criticality through the self-regulation of attention. We examined ten experienced practitioners of meditation during a 10-day…
Lan Yang, Jiayu Lu, Xinran Wu, Xi Zhang + 7 more
Accurate simulation of the brain’s intrinsic dynamic activity is essential for understanding human cognition and behavior and developing personalized brain disease therapies. Traditional neurodynamics models depend on structural connectivity to explain the emergence of functional connectivity (FC). However, achieving…
Daisuke Matsuyoshi, Yasuyuki Kimura, Keisuke Takahata, Yoko Ikoma + 5 more
Dopamine’s influence on large-scale network dynamics, especially on the default mode network (DMN), remains uncertain, as fMRI studies have produced mixed results. One likely contributor to these discrepancies is reliance on traditional functional connectivity analyses, which typically derive a single metric (e.g., the…
Sir-Lord Wiafe, Vince D. Calhoun
The brain does not process the present in isolation. Its responses are shaped by the accumulating weight of prior states, yet existing frameworks treat large-scale brain dynamics as sequences of transient configurations, leaving the constraining influence of history formally unspecified. Here we show that the brain…
David Papo, Javier M. Buldú
If brain anatomy and dynamics have a complex network structure as it has become standard to posit, it is reasonable to assume that such a structure should play a key role not only in brain function but also in brain dysfunction. However, exactly how network structure is implicated in brain damage and whether at least…
Yinuo Zhang, Demao Liu, Zhichao Liang, Jiani Cheng + 5 more
Recent breakthroughs in artificial intelligence (AI) are reshaping the way we construct computational counterparts of the brain, giving rise to a new class of ‘surrogate brains’. In contrast to conventional hypothesis-driven biophysical models, the AI-based surrogate brain encompasses a broad spectrum of data-driven…
Albert Juncà, Anira Escrichs, Ignacio Martín, Gustavo Deco + 1 more
Brain tumors, particularly meningiomas and gliomas, can profoundly affect neural function, yet their impact on brain dynamics remains incompletely understood. This study investigates alterations in normal brain function among meningioma and glioma patients by assessing dynamical complexity through the Intrinsic…
Yaning Han, Quanying Liu, Siyuan Liu, Heping Cheng + 1 more
Behavior is inherently hierarchical. The prevailing view holds that hierarchical behavior arises from the brain’s hierarchical organization. However, this view is primarily derived from experiments in highly controlled laboratory settings, and it remains unknown whether the same principles apply during natural, freely…
Guy Cheron, Ana Maria Cebolla
Integrative neuroscience increasingly recognizes that the brain evolved primarily as a biological system for generating movement. Viewed as a complex oscillator, the brain is now widely investigated through electroencephalography (EEG), which occupies a central position in both motor neuroscience and cognitive…
Chesson Sipling, Yuan-Hang Zhang, Massimiliano Di Ventra
A major unresolved question in Neuroscience is: What is the origin of the observed scale-invariant correlations in neural activity? Many researchers support the ``criticality hypothesis,'' which proposes that the brain operates near a critical point, optimizing various information processing functions. We argue that…
Binghao Yang, Guangzong Chen
The foundation of cognitive flexibility and higher-order intelligence lies in the functional structure and activity of brain networks, which can be dynamically configured by both external environments and internal states. However, decoding these dynamics from high-dimensional neural data remains a challenge. In this…
Gustavo G. Cambrainha, Daniel M. Castro, Leonardo L. Gollo, Pedro V. Carelli + 1 more
The hierarchical organization of the brain is a fundamental structural principle, while brain criticality is a leading hypothesis for its collective dynamics. However, the connection between structure and signatures of criticality remains an open question. Here, we address this issue by applying phenomenological…
Dimitris A Pinotsis, Sankaraleengam Alagapan, Parisa Sarikhani, Tanya Nauvel + 2 more
The initial therapeutic exposure to DBS during implantation surgery has reproducible acute behavioral effects that carry over without further stimulation. We analyzed LFP data from the first month following brief therapeutic intraoperative DBS. Data were recorded from the subcallosal cingulate cortex (SCC). During this…
Hardik Rajpal, Cedric Stefens, Meghdad Saeedian, Joe S. Canzano + 5 more
Long-range correlations are a key signature of systems operating near criticality, indicating spatially-extended interactions across large distances. These extended dependencies underlie other emergent properties of critical dynamics, such as high susceptibility and multi-scale coordination. In the brain, along with…
Authors not listed
Molecular mechanisms governing initiation steps of the assembly of thousands of endogenous multi-protein complexes (EMCs) remain incompletely understood. Here, multiple lines of observations are reported reflecting the biological functions-aligned initiation sequence of hybrid assembly pathways (HAPs) of EMCs. HAPs…
Terrence J. Sejnowski
In the last century, most sensorimotor studies of cortical neurons relied on average firing rates. Rate coding is efficient for fast sensorimotor processing that occurs within a few seconds. Much less is known about long-term working memory with a time scale of hours (Ericsson and Kintsch, 1995). The discovery of…
Feng Dazheng, Hao-Xuan Du
The human brain's computational prowess emerges not despite but because of its inherent "nonideal factors"—noise, heterogeneity, structural irregularities, decentralized plasticity, systemic errors, and chaotic dynamics—challenging classical neuroscience's idealized models. These traits, long dismissed as flaws, are…
Vasily Lubashevskiy, Ihor Lubashevsky
We develop a novel cloud-function formalism describing the dynamical relationship between sensory-information processing in large-scale brain networks (supraliminal processing) and the content of the mental representation of an observed object. The formalism combines elements of neural field theory for large-scale…
Simon Leipold, Ryssa Moffat
Studying learning-related plasticity is central to understanding the acquisition of complex skills, for example learning to master a musical instrument. Over the past three decades, conventional group-based functional magnetic resonance imaging (fMRI) studies have advanced our understanding of how humans' neural…
Authors not listed
TIMP2 (Tissue Inhibitor of Metalloproteinase-2) plays a crucial role in hippocampal neuroplasticity and cognitive function through MMP-independent signaling. Despite its therapeutic promise, TIMP2 has long been considered 'undruggable' due to its cryptic surface topology and lack of canonical active sites. We present a…
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Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
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Alzheimer's disease (AD) is a neurodegenerative disorder caused by multiple factors that require the development of multi-target directed ligands (MTDL) to treat its pathophysiology. Using Hyperoside, a major Himalayan plant extract, this study will report on the potential use of this compound as a therapeutic agent…