Publications by authors named "Li-Ming Hsu"

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  • The study highlights the increasing use of extracorporeal membrane oxygenation (ECMO) for treating cardiogenic shock but notes that survival rates have not improved, stressing the need for better patient selection.
  • Thirty-four patients were analyzed by collecting and examining their blood cells at different time points during ECMO, focusing on DNA methylation features to create predictive models for in-hospital mortality.
  • The developed models showed significant predictive accuracy (AUC values of 0.78 and 0.72) for mortality, outperforming traditional clinical evaluation systems, suggesting that DNA methylation could be a valuable tool for improving patient outcomes in ECMO therapy.
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The integration of functional magnetic resonance imaging (fMRI) with advanced neuroscience technologies in experimental small animal models offers a unique path to interrogate the causal relationships between regional brain activity and brain-wide network measures-a goal challenging to accomplish in human subjects. This review traces the historical development of the neuromodulation techniques commonly used in rodents, such as electrical deep brain stimulation, optogenetics, and chemogenetics, and focuses on their application with fMRI. We discuss their advantageousness roles in uncovering the signaling architecture within the brain and the methodological considerations necessary when conducting these experiments.

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  • Deep brain stimulation (DBS) is used to treat motor symptoms in Parkinson's disease (PD), but how it works in the brain is still debated.
  • Researchers studied the effects of DBS on brain activity in female hemi-parkinsonian rats using advanced imaging techniques to pinpoint which neural targets are influenced.
  • Their findings showed that the effectiveness of DBS depends on the pulse rate used and that specific brain regions, particularly the globus pallidus (GP) and caudate putamen (CPu), play a crucial role in alleviating symptoms, unlike the substantia nigra pars reticulata (SNr).
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  • * Found that different stimulation frequencies influenced blood flow and activity in critical areas like the substantia nigra pars reticulata (SNr), globus pallidus (GP), and caudate putamen (CPu).
  • * Discovered that the therapeutic effects of STN DBS in reducing detrimental circling behavior relied more on changes in GP and CPu activity rather than SNr, highlighting their importance in PD treatment.
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While functional brain imaging studies in humans suggest that chronic cocaine use alters functional connectivity (FC) within and between key large-scale brain networks, including the default mode network (DMN), the salience network (SN), and the central executive network (CEN), cross-sectional studies in humans are challenging to obtain brain FC prior to cocaine use. Such information is critical to reveal the relationship between individual's brain FC and the subsequent development of cocaine dependence and brain changes during abstinence. Here, we performed a longitudinal study examining functional magnetic resonance imaging (fMRI) data in male rats ( = 7), acquired before cocaine self-administration (baseline), on 1 d of abstinence following 10 d of cocaine self-administration, and again after 30 d of experimenter-imposed abstinence.

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  • Adolescent alcohol misuse is a significant public health issue, impacting brain areas responsible for cognitive control; however, the effects of acute alcohol on large-scale brain networks remain underexplored.
  • This study uses a functional MRI protocol on rats to analyze how sex, age, and alcohol dosage influence brain connectivity within key networks (default mode, salience, and lateral cortical network).
  • The research identifies important connectivity differences and shows that age affects how acute alcohol influences the lateral cortical network, while also making the brain-wide fMRI data publicly available to support future research on alcohol's neurological effects.
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Brain wiring redundancy counteracts aging-related cognitive decline by reserving additional communication channels as a neuroprotective mechanism. Such a mechanism plays a potentially important role in maintaining cognitive function during the early stages of neurodegenerative disorders such as Alzheimer's disease (AD). AD is characterized by severe cognitive decline and involves a long prodromal stage of mild cognitive impairment (MCI).

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  • The default mode network (DMN) is important for self-referential thinking, and its dysfunction is linked to various neuropsychiatric disorders, but understanding it in rodents hasn't been fully explored.
  • This study uses advanced techniques like fiber photometry and fMRI to analyze the interaction between DMN nodes and the anterior insular cortex (AI), revealing that changes in neuronal activity occur before fMRI detected activations.
  • The research shows that significant stimuli can suppress the DMN while boosting AI activity, indicating that AI may inhibit parts of the DMN, which deepens our understanding of the DMN's function in rodents and helps inform future studies.
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  • Animals, including humans, have developed goal-directed behaviors like drinking to address physiological needs such as thirst, but the underlying neural mechanisms are not well understood.
  • Using fMRI and various analysis techniques, research indicates that the median preoptic nucleus (MnPO) is crucial in detecting the need for water and coordinating the intention to drink through interactions among multiple brain networks.
  • The study highlights that responding to physiological needs, like thirst, involves complex brain networks working together to convert sensory information into behavioral actions.
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Drought may lead to severe and diverse impacts on agriculture, economy, and society across different regions and periods, posing predictive and adaptive challenges. In recent years, severe droughts have affected >60 million people in the Mekong River Basin (MRB). Additionally, El Niño Southern Oscillation (ENSO) episodes had distinct influences on the occurrence and intensity of drought variability in the regions.

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The default mode network (DMN) of the brain is functionally associated with a wide range of behaviors. In this study, we used functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and spectral fiber photometry to investigate the selective neuromodulatory effect of norepinephrine (NE)-releasing noradrenergic neurons in the locus coeruleus (LC) on the mouse DMN. Chemogenetic-induced tonic LC activity decreased cerebral blood volume (CBV) and glucose uptake and increased synchronous low-frequency fMRI activity within the frontal cortices of the DMN.

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Distinguishing bipolar depression (BD) from unipolar depression (UD) based on symptoms only is challenging. Brain functional connectivity (FC), especially dynamic FC, has emerged as a promising approach to identify possible imaging markers for differentiating BD from UD. However, most of such studies utilized conventional FC and group-level statistical comparisons, which may not be sensitive enough to quantify subtle changes in the FC dynamics between BD and UD.

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Although emerging evidence suggests that the hemodynamic response function (HRF) can vary by brain region and species, a single, canonical, human-based HRF is widely used in animal studies. Therefore, the development of flexible, accessible, brain-region specific HRF calculation approaches is paramount as hemodynamic animal studies become increasingly popular. To establish an fMRI-compatible, spectral, fiber-photometry platform for HRF calculation and validation in any rat brain region.

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  • Brain extraction is an essential step in analyzing brain MRI data, traditionally done manually in rodents, which can be very time-consuming, especially with high-resolution images.
  • The researchers upgraded their existing 2D U-Net deep learning model to a 3D U-Net framework to leverage more spatial context from volumetric MRI data, improving automatic brain extraction.
  • In testing against various existing methods, the 3D U-Net showed superior performance on multiple metrics, with consistent results under different noise conditions, and the source code has been made publicly available to aid rodent MRI research.
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Graph theory has been extensively used to investigate brain network topology and its changes in disease cohorts. However, many graph theoretic analysis-based brain network studies focused on the shortest paths or, more generally, cost-efficiency. In this work, we use two new concepts, connectedness and 2-connectedness, to measure different global properties compared to the previously widely adopted ones.

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Awash River basin (ARB) as a system is in a state of continuous change that requires successive studies to discern the changes or trends of climatic elements through time due to climate change/variability, and other socio-economical developmental activities in the basin. The livelihood of communities in the ARB is primarily based on rainfall-dependent agriculture. Effects of rainfall anomalies such as reduction of agricultural productivity, water scarcity, and food insecurity are becoming more prevalent in this area.

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We investigated the association between dietary patterns and serum hepatic enzyme levels in adults with dyslipidemia and impaired fasting glucose in Taiwan. A total of 15,005 subjects (5452 men and 9553 women) aged 35-69 years were selected. Two major dietary patterns were identified by principal component analysis: Western dietary pattern and Mediterranean dietary pattern.

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Evidence suggests divergent thinking is the cognitive basis of creative thoughts. Neuroimaging literature using resting-state functional connectivity (RSFC) has revealed network reorganizations during divergent thinking. Recent studies have revealed the changes of network organizations when performing creativity tasks, but such brain reconfigurations may be prolonged after task and be modulated by the trait of creativity.

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Accurate removal of magnetic resonance imaging (MRI) signal outside the brain, a.k.a.

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Sertraline is one of the most commonly prescribed antidepressants. Major depressive disorder (MDD) is characterized by spontaneous thoughts that are laden with negative affect-a "malignant sadness". Prior neuroimaging studies have identified abnormal resting-state functional connectivity (rsFC) in the spontaneous brain networks of MDD patients.

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  • * A study involving twelve chronic stroke patients assessed brain activity using fMRI before, after, and one month post-rehabilitation, comparing them with age-matched normal controls.
  • * Results showed improved motor performance and significant enhancement in brain connectivity between networks, particularly between the posterior cingulate cortex and primary motor cortex, indicating that cross-network interactions can be used as biomarkers for evaluating rehabilitation interventions.
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The CA3 and CA1 principal cell fields of the hippocampus are vulnerable to aging, and age-related dysfunction in CA3 may be an early seed event closely linked to individual differences in memory decline. However, whether the differential vulnerability of CA3 and CA1 is associated with broader disruption in network-level functional interactions in relation to age-related memory impairment, and more specifically, whether CA3 dysconnectivity contributes to the effects of aging via CA1 network connectivity, has been difficult to test. Here, using resting-state fMRI in a group of aged rats uncontaminated by neurodegenerative disease, aged rats displayed widespread reductions in functional connectivity of CA3 and CA1 fields.

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The development of brain-based biomarkers to assess nicotine dependence severity and treatment efficacy are essential to improve the current marginally effective treatment outcomes. Cross-sectional resting state functional connectivity (rsFC) studies in humans identified a circuit between the dorsal anterior cingulate cortex and the ventral striatum that negatively correlated with increased nicotine dependence severity but was unaffected by acute nicotine administration, suggesting a trait marker of addiction. However, whether this trait circuit dysregulation is predispositional to or resultant from nicotine dependence is unclear.

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Functional brain development in early infancy is a highly dynamic and complex process. Understanding each brain region's topological role and its development in the brain functional connectivity (FC) networks is essential for early disorder detection. A handful of previous studies have mostly focused on how FC network is changing regarding age.

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Background: The modular organization of brain networks in trigeminal neuralgia patients has remained largely unknown. We aimed to analyze the brain modules and intermodule connectivity in patients with trigeminal neuralgia before and after percutaneous radiofrequency rhizotomy treatment to identify specific modules that may be associated with the development and brain plasticity of trigeminal neuralgia and to test the ability of modularity analysis to be a predictive imaging biomarker for the treatment effect in patients with trigeminal neuralgia.

Methods: A total of 25 patients with right trigeminal neuralgia and 20 matched healthy subjects were included.

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