A key step in unraveling the mysteries of materials exhibiting unconventional superconductivity is to understand the underlying pairing mechanism. While it is widely agreed upon that the pairing glue in many of these systems originates from antiferromagnetic spin correlations, a microscopic description of pairs of charge carriers remains lacking. Here we use state-of-the art numerical methods to probe the internal structure and dynamical properties of pairs of charge carriers in quantum antiferromagnets in four-legged cylinders. Exploiting the full momentum resolution in our simulations, we are able to distinguish two qualitatively different types of bound states: a highly mobile, meta-stable pair, which has a dispersion proportional to the hole hopping t, and a heavy pair, which can only move due to spin exchange processes and turns into a flat band in the Ising limit of the model. Understanding the pairing mechanism can on the one hand pave the way to boosting binding energies in related models, and on the other hand enable insights into the intricate competition of various phases of matter in strongly correlated electron systems.
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http://dx.doi.org/10.1038/s41467-023-43453-2 | DOI Listing |
Chaos
January 2025
Department of Cognitive Sciences, University of California, Irvine, California 92617, USA.
We propose a novel approach to investigate the brain mechanisms that support coordination of behavior between individuals. Brain states in single individuals defined by the patterns of functional connectivity between brain regions are used to create joint symbolic representations of brain states in two or more individuals to investigate symbolic dynamics that are related to interactive behaviors. We apply this approach to electroencephalographic data from pairs of subjects engaged in two different modes of finger-tapping coordination tasks (synchronization and syncopation) under different interaction conditions (uncoupled, leader-follower, and mutual) to explore the neural mechanisms of multi-person motor coordination.
View Article and Find Full Text PDFBackground: Alzheimer's disease (AD) is a progressive neurodegenerative disease and the most prevalent type of senile dementia affecting more than 6 million Americans in 2023. Most of these AD cases are sporadic or late-onset AD with unclear etiology. Recent clinical trials on antibody drug clearing Ab plagues in brain show modest benefits of slowing down cognitive decline.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
NYU Grossman School of Medicine, New York, NY, USA.
Background: How tauopathy disrupts direct entorhinal cortex (EC) inputs to CA1 and their plasticity is understudied, despite its critical role in memory. Moreover, dysfunction of lateral EC (LEC) input is less clear, despite its relevance to early Alzheimer's disease pathogenesis. Here we examined how tau impacts long-term potentiation (LTP) of LEC→CA1 input in a transgenic model of tauopathy.
View Article and Find Full Text PDFGeroscience
January 2025
Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Erwin Mill Building, 2024 W. Main St, Durham, NC, 27705, USA.
Genetics is the second strongest risk factor for Alzheimer's disease (AD) after age. More than 70 loci have been implicated in AD susceptibility so far, and the genetic architecture of AD entails both additive and nonadditive contributions from these loci. To better understand nonadditive impact of single-nucleotide polymorphisms (SNPs) on AD risk, we examined individual, joint, and interacting (SNPxSNP) effects of 139 and 66 SNPs mapped to the BIN1 and MS4A6A AD-associated loci, respectively.
View Article and Find Full Text PDFEur Arch Psychiatry Clin Neurosci
January 2025
Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 310016, Hunan, China.
Auditory verbal hallucinations (AVHs) in schizophrenia are hypothesized to involve alterations in hemispheric lateralization, but the specific neural mechanisms remain unclear. This study investigated functional intra- and inter-hemispheric connectivity to identify lateralization patterns unique to AVHs. Resting-state fMRI data were collected from 60 schizophrenia patients with persistent AVHs (p-AVH group), 39 patients without AVHs (n-AVH group), and 59 healthy controls (HC group).
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