A5063487263- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Mental Health Research Topics
- Alzheimer's disease research and treatments
- Neurogenesis and neuroplasticity mechanisms
- Advanced Neuroimaging Techniques and Applications
- Memory and Neural Mechanisms
- Advanced MRI Techniques and Applications
- Neuroinflammation and Neurodegeneration Mechanisms
- Polydiacetylene-based materials and applications
- Hemispheric Asymmetry in Neuroscience
- Photoreceptor and optogenetics research
- Supramolecular Self-Assembly in Materials
- Complex Network Analysis Techniques
- Developmental Biology and Gene Regulation
- Morphological variations and asymmetry
- Neuroscience and Neuropharmacology Research
- Pluripotent Stem Cells Research
- RNA Interference and Gene Delivery
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Neurological Disease Mechanisms and Treatments
- Hearing, Cochlea, Tinnitus, Genetics
University of Illinois Chicago
2017-2024
Northwestern University
2017
Hippocampal neurogenesis is impaired in Alzheimer’s disease (AD) patients and familial (FAD) mouse models. However, it unknown whether new neurons play a causative role memory deficits. Here, we show that immature were actively recruited into the engram following hippocampus-dependent task. their recruitment severely deficient FAD. Recruited exhibited compromised spine density altered transcript profile. Targeted augmentation of FAD mice restored number engram, dendritic density,...
Here, we provide an in-depth consideration of our current understanding engrams, spanning from molecular to network levels, and hippocampal neurogenesis, in health Alzheimer's disease (AD). This review highlights novel findings these emerging research fields future directions for therapeutic avenues memory failure dementia. Engrams, AD, neurogenesis have each been extensively studied. The integration topics, however, has relatively less deliberated, is the focus this review. We primarily on...
Abstract The ability to generate spiral ganglion neurons (SGNs) from stem cells is a necessary prerequisite for development of cell-replacement therapies sensorineural hearing loss. We present protocol that directs human embryonic (hESCs) toward purified population otic neuronal progenitors (ONPs) and SGN-like cells. Between 82% 95% these express SGN molecular markers, they preferentially extend neurites the cochlear nucleus rather than nonauditory nuclei, action potentials. follows an in...
Introduction Alzheimer's disease (AD) is a progressive neurodegenerative disease. The early processes of AD, however, are not fully understood and likely begin years before symptoms manifest. Importantly, disruption the default mode network, including hippocampus, has been implicated in AD. Methods To examine role functional network connectivity changes stages we performed resting-state magnetic resonance imaging (rs-fMRI) using mouse model harboring three familial AD mutations ( App...
The use of human embryonic stem cells (hESCs) for regeneration the spiral ganglion will require techniques promoting otic neuronal progenitor (ONP) differentiation, anchoring to anatomically appropriate and specific niches, long-term cell survival after transplantation. In this study, we used self-assembling peptide amphiphile (PA) molecules that display an IKVAV epitope (IKVAV-PA) create a niche hESC-derived ONPs supported differentiation both in vitro vivo transplantation into rodent inner...
Connectomics is a framework that models brain structure and function interconnectivity as network, rather than narrowly focusing on select regions-of-interest. MRI-derived connectomes can be structural, usually based diffusion-weighted MR imaging, or functional, formed by examining fMRI blood-oxygen-level-dependent (BOLD) signal correlations. Recently, we developed novel method for assessing the hierarchical modularity of functional networks-the probability associated community estimation...
Alzheimer’s disease (AD) is the most common form of dementia and results in neurodegeneration cognitive impairment. White matter (WM) affected AD has implications for neural circuitry function. The trajectory these changes across age, however, still not well understood, especially at earlier stages life. To address this, we used App NL-G-F/NL-G-F knock-in (APPKI) mouse model that harbors a single copy human amyloid precursor protein ( APP ) gene with three familial mutations. We performed...
Synaptic dysfunction is hypothesized to be one of the earliest brain changes in Alzheimer's disease, leading "hyperexcitability" neuronal circuits. In this study, we evaluated a novel hyperexcitation indicator (HI) for each region using hybrid resting-state structural connectome probe connectome-level excitation-inhibition balance cognitively intact middle-aged apolipoprotein E (APOE) ε4 carriers with noncarriers (16 male/22 female group). Regression three-way interactions (sex, age, and...
Resting-state functional magnetic resonance imaging (rs-fMRI) is widely used in connectomics for studying the relationships between regions of human brain. rs-fMRI connectomics, however, has inherent analytical challenges, such as how to properly model negative correlations BOLD time series. In addition, brain do not necessarily correspond their anatomical distance, making topology less well understood. Recent machine learning techniques, word2vec, have embedding methods map high-dimensional...
Recently we developed a novel method for assessing the hierarchical modularity of functional brain networks - probability associated community estimation(PACE). The PACE algorithm is unique in that it permits dual formulation, thus yielding equivalent connectome modular structure regardless whether considering positive or negative edges. This was rigorously validated using F1000 and HCP data. We detected sex differences resting-state connectivity were not previously reported. current study...
Abstract Resting-state functional magnetic resonance imaging ( rs-fmri ) is widely used in connectomics for studying the relationships between regions of human brain. connectomics, however, has inherent analytical challenges, such as accounting negative correlations. In addition, brain do not necessarily correspond to their anatomical distance, making intrinsic geometry connectome less well understood. Recent techniques natural language processing and machine learning, word2vec, have...