Digital Commons Network^™

Novel Cyclic Homogeneous Oscillation Detection Method For High Accuracy And Specific Characterization Of Neural Dynamics, Hohyun Cho, Markus Adamek, Jon T Willie, Peter Brunner

2020-Current year OA Pubs

Determining the presence and frequency of neural oscillations is essential to understanding dynamic brain function. Traditional methods that detect peaks over 1/

Multi-Omic Analysis Of Huntington's Disease Reveals A Compensatory Astrocyte State, Fahad Paryani, Ji-Sun Kwon, Andrew S Yoo, Et Al.

2020-Current year OA Pubs

The mechanisms underlying the selective regional vulnerability to neurodegeneration in Huntington's disease (HD) have not been fully defined. To explore the role of astrocytes in this phenomenon, we used single-nucleus and bulk RNAseq, lipidomics, HTT gene CAG repeat-length measurements, and multiplexed immunofluorescence on HD and control post-mortem brains. We identified genes that correlated with CAG repeat length, which were enriched in astrocyte genes, and lipidomic signatures that implicated poly-unsaturated fatty acids in sensitizing neurons to cell death. Because astrocytes play essential roles in lipid metabolism, we explored the heterogeneity of astrocytic states in both protoplasmic and fibrous-like (CD44+) astrocytes. Significantly, …

4d Dynamic Spatial Brain Networks At Rest Linked To Cognition Show Atypical Variability And Coupling In Schizophrenia, Krishna Pusuluri, Zening Fu, Robyn Miller, Godfrey Pearlson, Peter Kochunov, Theo G M Van Erp, Armin Iraji, Vince D Calhoun

Student and Faculty Publications

Despite increasing interest in the dynamics of functional brain networks, most studies focus on the changing relationships over time between spatially static networks or regions. Here we propose an approach to study dynamic spatial brain networks in human resting state functional magnetic resonance imaging (rsfMRI) data and evaluate the temporal changes in the volumes of these 4D networks. Our results show significant volumetric coupling (i.e., synchronized shrinkage and growth) between networks during the scan, that we refer to as dynamic spatial network connectivity (dSNC). We find that several features of such dynamic spatial brain networks are associated with cognition, with …

A Maternal Brain Hormone That Builds Bone, Muriel E Babey, Xiao Zhang, Erica L Scheller, Et Al.

2020-Current year OA Pubs

In lactating mothers, the high calcium (Ca

Psilocybin Desynchronizes The Human Brain, Joshua S Siegel, Demetrius Perry, Benjamin P Kay, Evan M Gordon, Timothy O Laumann, T Rick Reneau, Nicholas V Metcalf, Samuel R Krimmel, Joshua S Shimony, Julie A Schweiger, Dean F Wong, David A Bender, Kristen M Scheidter, Forrest I Whiting, Jonah A Padawer-Curry, Eric J Lenze, Marcus E Raichle, Abraham Z Snyder, Ginger E Nicol, Nico U F Dosenbach, Et Al.

2020-Current year OA Pubs

A single dose of psilocybin, a psychedelic that acutely causes distortions of space-time perception and ego dissolution, produces rapid and persistent therapeutic effects in human clinical trials

Detection Of Diffusely Abnormal White Matter In Multiple Sclerosis On Multiparametric Brain Mri Using Semi-Supervised Deep Learning, Benjamin C Musall, Refaat E Gabr, Yanyu Yang, Arash Kamali, John A Lincoln, Michael A Jacobs, Vi Ly, Xi Luo, Jerry S Wolinsky, Ponnada A Narayana, Khader M Hasan

Student and Faculty Publications

In addition to focal lesions, diffusely abnormal white matter (DAWM) is seen on brain MRI of multiple sclerosis (MS) patients and may represent early or distinct disease processes. The role of MRI-observed DAWM is understudied due to a lack of automated assessment methods. Supervised deep learning (DL) methods are highly capable in this domain, but require large sets of labeled data. To overcome this challenge, a DL-based network (DAWM-Net) was trained using semi-supervised learning on a limited set of labeled data for segmentation of DAWM, focal lesions, and normal-appearing brain tissues on multiparametric MRI. DAWM-Net segmentation performance was compared to …

Targeted Co-Expression Networks For The Study Of Traits, A Gómez-Pascual, G Rocamora-Pérez, L Ibanez, J A Botía

2020-Current year OA Pubs

Weighted Gene Co-expression Network Analysis (WGCNA) is a widely used approach for the generation of gene co-expression networks. However, networks generated with this tool usually create large modules with a large set of functional annotations hard to decipher. We have developed TGCN, a new method to create Targeted Gene Co-expression Networks. This method identifies the transcripts that best predict the trait of interest based on gene expression using a refinement of the LASSO regression. Then, it builds the co-expression modules around those transcripts. Algorithm properties were characterized using the expression of 13 brain regions from the Genotype-Tissue Expression project. When …

Brain-Age Prediction: Systematic Evaluation Of Site Effects, And Sample Age Range And Size, Yuetong Yu, Hao-Qi Cui, Shalaila S Haas, Faye New, Nicole Sanford, Kevin Yu, Denghuang Zhan, Guoyuan Yang, Jia-Hong Gao, Dongtao Wei, Jiang Qiu, Nerisa Banaj, Dorret I Boomsma, Alan Breier, Henry Brodaty, Randy L Buckner, Jan K Buitelaar, Dara M Cannon, Xavier Caseras, Vincent P Clark, Patricia J Conrod, Fabrice Crivello, Eveline A Crone, Udo Dannlowski, Christopher G Davey, Lieuwe De Haan, Greig I De Zubicaray, Annabella Di Giorgio, Lukas Fisch, Simon E Fisher, Barbara Franke, David C Glahn, Dominik Grotegerd, Oliver Gruber, Raquel E Gur, Ruben C Gur, Tim Hahn, Ben J Harrison, Sean Hatton, Ian B Hickie, Hilleke E Hulshoff Pol, Alec J Jamieson, Terry L Jernigan, Jiyang Jiang, Andrew J Kalnin, Sim Kang, Nicole A Kochan, Anna Kraus, Jim Lagopoulos, Luisa Lazaro, Brenna C Mcdonald, Colm Mcdonald, Katie L Mcmahon, Benson Mwangi, Fabrizio Piras, Raul Rodriguez-Cruces, Jessica Royer, Perminder S Sachdev, Theodore D Satterthwaite, Andrew J Saykin, Gunter Schumann, Pierluigi Sevaggi, Jordan W Smoller, Jair C Soares, Gianfranco Spalletta, Christian K Tamnes, Julian N Trollor, Dennis Van't Ent, Daniela Vecchio, Henrik Walter, Yang Wang, Bernd Weber, Wei Wen, Lara M Wierenga, Steven C R Williams, Mon-Ju Wu, Giovana B Zunta-Soares, Boris Bernhardt, Paul Thompson, Sophia Frangou, Ruiyang Ge

Student and Faculty Publications

Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain‐age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain‐age has highlighted the need for robust and publicly available brain‐age models pre‐trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain‐age model. Here we expand this work to develop, empirically validate, and disseminate a pre‐trained brain‐age model to cover most of the human lifespan. To achieve this, we selected the …

Brain-Age Prediction: Systematic Evaluation Of Site Effects, And Sample Age Range And Size, Yuetong Yu, Hao-Qi Cui, Shalaila S Haas, Faye New, Nicole Sanford, Kevin Yu, Denghuang Zhan, Guoyuan Yang, Jia-Hong Gao, Dongtao Wei, Jiang Qiu, Nerisa Banaj, Dorret I Boomsma, Alan Breier, Henry Brodaty, Randy L Buckner, Jan K Buitelaar, Dara M Cannon, Xavier Caseras, Vincent P Clark, Patricia J Conrod, Fabrice Crivello, Eveline A Crone, Udo Dannlowski, Christopher G Davey, Lieuwe De Haan, Greig I De Zubicaray, Annabella Di Giorgio, Lukas Fisch, Simon E Fisher, Barbara Franke, David C Glahn, Dominik Grotegerd, Oliver Gruber, Raquel E Gur, Ruben C Gur, Tim Hahn, Ben J Harrison, Sean Hatton, Ian B Hickie, Hilleke E Hulshoff Pol, Alec J Jamieson, Terry L Jernigan, Jiyang Jiang, Andrew J Kalnin, Sim Kang, Nicole A Kochan, Anna Kraus, Jim Lagopoulos, Luisa Lazaro, Brenna C Mcdonald, Colm Mcdonald, Katie L Mcmahon, Benson Mwangi, Fabrizio Piras, Raul Rodriguez-Cruces, Jessica Royer, Perminder S Sachdev, Theodore D Satterthwaite, Andrew J Saykin, Gunter Schumann, Pierluigi Sevaggi, Jordan W Smoller, Jair C Soares, Gianfranco Spalletta, Christian K Tamnes, Julian N Trollor, Dennis Van't Ent, Daniela Vecchio, Henrik Walter, Yang Wang, Bernd Weber, Wei Wen, Lara M Wierenga, Steven C R Williams, Mon-Ju Wu, Giovana B Zunta-Soares, Boris Bernhardt, Paul Thompson, Sophia Frangou, Ruiyang Ge, Enigma‐Lifespan Working Group

Student and Faculty Publications

Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain‐age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain‐age has highlighted the need for robust and publicly available brain‐age models pre‐trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain‐age model. Here we expand this work to develop, empirically validate, and disseminate a pre‐trained brain‐age model to cover most of the human lifespan. To achieve this, we selected the …

Bayesian Varying-Effects Vector Autoregressive Models For Inference Of Brain Connectivity Networks And Covariate Effects In Pediatric Traumatic Brain Injury, Yangfan Ren, Nathan Osborne, Christine B Peterson, Dana M Demaster, Linda Ewing-Cobbs, Marina Vannucci

Student and Faculty Publications

In this article, we develop an analytical approach for estimating brain connectivity networks that accounts for subject heterogeneity. More specifically, we consider a novel extension of a multi-subject Bayesian vector autoregressive model that estimates group-specific directed brain connectivity networks and accounts for the effects of covariates on the network edges. We adopt a flexible approach, allowing for (possibly) nonlinear effects of the covariates on edge strength via a novel Bayesian nonparametric prior that employs a weighted mixture of Gaussian processes. For posterior inference, we achieve computational scalability by implementing a variational Bayes scheme. Our approach enables simultaneous estimation of group-specific …

Contributions Of Brain Microstructures And Metabolism To Visual Field Loss Patterns In Glaucoma Using Archetypal And Information Gain Analyses, Yueyin Pang, Ji Won Bang, Anisha Kasi, Jeremy Li, Carlos Parra, Els Fieremans, Gadi Wollstein, Joel S. Schuman, Mengyu Wang, Kevin C Chan

Wills Eye Hospital Papers

PURPOSE: To investigate the contributions of the microstructural and metabolic brain environment to glaucoma and their association with visual field (VF) loss patterns by using advanced diffusion magnetic resonance imaging (dMRI), proton magnetic resonance spectroscopy (MRS), and clinical ophthalmic measures.

METHODS: Sixty-nine glaucoma and healthy subjects underwent dMRI and/or MRS at 3 Tesla. Ophthalmic data were collected from VF perimetry and optical coherence tomography. dMRI parameters of microstructural integrity in the optic radiation and MRS-derived neurochemical levels in the visual cortex were compared among early glaucoma, advanced glaucoma, and healthy controls. Multivariate regression was used to correlate neuroimaging metrics with …

Task And Stimulus Coding In The Multiple-Demand Network, Sneha Shashidhara, Moataz Assem, Matthew F Glasser, John Duncan

2020-Current year OA Pubs

In the human brain, a multiple-demand (MD) network plays a key role in cognitive control, with core components in lateral frontal, dorsomedial frontal and lateral parietal cortex, and multivariate activity patterns that discriminate the contents of many cognitive activities. In prefrontal cortex of the behaving monkey, different cognitive operations are associated with very different patterns of neural activity, while details of a particular stimulus are encoded as small variations on these basic patterns (Sigala et al, 2008). Here, using the advanced fMRI methods of the Human Connectome Project and their 360-region cortical parcellation, we searched for a similar result in …

Cognitive Control Training With Domain-General Response Inhibition Does Not Change Children's Brains Or Behavior, Keertana Ganesan, Abigail Thompson, Claire R Smid, Roser Cañigueral, Yongjing Li, Grace Revill, Vanessa Puetz, Boris C Bernhardt, Nico U F Dosenbach, Rogier Kievit, Nikolaus Steinbeis

2020-Current year OA Pubs

Cognitive control is required to organize thoughts and actions and is critical for the pursuit of long-term goals. Childhood cognitive control relates to other domains of cognitive functioning and predicts later-life success and well-being. In this study, we used a randomized controlled trial to test whether cognitive control can be improved through a pre-registered 8-week intervention in 235 children aged 6-13 years targeting response inhibition and whether this leads to changes in multiple behavioral and neural outcomes compared to a response speed training. We show long-lasting improvements of closely related measures of cognitive control at the 1-year follow-up; however, training …

Airy-Beam Holographic Sonogenetics For Advancing Neuromodulation Precision And Flexibility, Zhongtao Hu, Yaoheng Yang, Leqi Yang, Yan Gong, Chinwendu Chukwu, Dezhuang Ye, Yimei Yue, Jinyun Yuan, Alexxai V Kravitz, Hong Chen

2020-Current year OA Pubs

Advancing our understanding of brain function and developing treatments for neurological diseases hinge on the ability to modulate neuronal groups in specific brain areas without invasive techniques. Here, we introduce Airy-beam holographic sonogenetics (AhSonogenetics) as an implant-free, cell type-specific, spatially precise, and flexible neuromodulation approach in freely moving mice. AhSonogenetics utilizes wearable ultrasound devices manufactured using 3D-printed Airy-beam holographic metasurfaces. These devices are designed to manipulate neurons genetically engineered to express ultrasound-sensitive ion channels, enabling precise modulation of specific neuronal populations. By dynamically steering the focus of Airy beams through ultrasound frequency tuning, AhSonogenetics is capable of modulating neuronal populations …

Anti-Acetylated-Tau Immunotherapy Is Neuroprotective In Tauopathy And Brain Injury, Celeste Parra Bravo, Karen Krukowski, Sarah Barker, Chao Wang, Yaqiao Li, Li Fan, Edwin Vázquez-Rosa, Min-Kyoo Shin, Man Ying Wong, Louise D Mccullough, Ryan S Kitagawa, H Alex Choi, Angela Cacace, Subhash C Sinha, Andrew A Pieper, Susanna Rosi, Xu Chen, Li Gan

Student and Faculty Publications

BACKGROUND: Tau is aberrantly acetylated in various neurodegenerative conditions, including Alzheimer's disease, frontotemporal lobar degeneration (FTLD), and traumatic brain injury (TBI). Previously, we reported that reducing acetylated tau by pharmacologically inhibiting p300-mediated tau acetylation at lysine 174 reduces tau pathology and improves cognitive function in animal models.

METHODS: We investigated the therapeutic efficacy of two different antibodies that specifically target acetylated lysine 174 on tau (ac-tauK174). We treated PS19 mice, which harbor the P301S tauopathy mutation that causes FTLD, with anti-ac-tauK174 and measured effects on tau pathology, neurodegeneration, and neurobehavioral outcomes. Furthermore, PS19 mice received treatment post-TBI to evaluate the …

Protein Restriction Slows The Development And Progression Of Pathology In A Mouse Model Of Alzheimer's Disease, Reji Babygirija, Natalie M Niemi, Et Al.

2020-Current year OA Pubs

Dietary protein is a critical regulator of metabolic health and aging. Low protein diets are associated with healthy aging in humans, and dietary protein restriction extends the lifespan and healthspan of mice. In this study, we examined the effect of protein restriction (PR) on metabolic health and the development and progression of Alzheimer's disease (AD) in the 3xTg mouse model of AD. Here, we show that PR promotes leanness and glycemic control in 3xTg mice, specifically rescuing the glucose intolerance of 3xTg females. PR induces sex-specific alterations in circulating and brain metabolites, downregulating sphingolipid subclasses in 3xTg females. PR also …

Frontotemporal Dementia-Like Disease Progression Elicited By Seeded Aggregation And Spread Of Fus, Sonia Vazquez-Sanchez, Britt Tilkin, Fatima Gasset-Rosa, Sitao Zhang, Diana Piol, Melissa Mcalonis-Downes, Jonathan Artates, Noe Govea-Perez, Yana Verresen, Lin Guo, Don Cleveland, James Shorter, Sandrine Da Cruz

Department of Biochemistry and Molecular Biology Faculty Papers

RNA binding proteins have emerged as central players in the mechanisms of many neurodegenerative diseases. In particular, a proteinopathy of fused in sarcoma (FUS) is present in some instances of familial Amyotrophic lateral sclerosis (ALS) and about 10% of sporadic Frontotemporal lobar degeneration (FTLD). Here we establish that focal injection of sonicated human FUS fibrils into brains of mice in which ALS-linked mutant or wild-type human FUS replaces endogenous mouse FUS is sufficient to induce focal cytoplasmic mislocalization and aggregation of mutant and wild-type FUS which with time spreads to distal regions of the brain. Human FUS fibril-induced FUS aggregation …

Impact Of Knockout Of Dual-Specificity Protein Phosphatase 5 On Structural And Mechanical Properties Of Rat Middle Cerebral Arteries: Implications For Vascular Aging, Chengyun Tang, Huawei Zhang, Jane J Border, Yedan Liu, Xing Fang, Joshua R Jefferson, Andrew Gregory, Claire Johnson, Tae Jin Lee, Shan Bai, Ashok Sharma, Seung Min Shin, Hongwei Yu, Richard J Roman, Fan Fan

Student and Faculty Publications

Vascular aging influences hemodynamics, elevating risks for vascular diseases and dementia. We recently demonstrated that knockout (KO) of Dusp5 enhances cerebral and renal hemodynamics and cognitive function. This improvement correlates with elevated pPKC and pERK1/2 levels in the brain and kidneys. Additionally, we observed that Dusp5 KO modulates the passive mechanical properties of cerebral and renal arterioles, associated with increased myogenic tone at low pressure, enhanced distensibility, greater compliance, and reduced stiffness. The present study evaluates the structural and mechanical properties of the middle cerebral artery (MCA) in Dusp5 KO rats. We found that vascular smooth muscle cell layers and …

Fetal Brain-Derived Exosomal Mirnas From Maternal Blood: Potential Diagnostic Biomarkers For Fetal Alcohol Spectrum Disorders (Fasds), Nune Darbinian, Monica Hampe, Diana Martirosyan, Ahsun Bajwa, Armine Darbinyan, Nana Merabova, Gabriel Tatevosian, Laura Goetzl, Shohreh Amini, Michael E Selzer

Student and Faculty Publications

Fetal alcohol spectrum disorders (FASDs) are leading causes of neurodevelopmental disability but cannot be diagnosed early in utero. Because several microRNAs (miRNAs) are implicated in other neurological and neurodevelopmental disorders, the effects of EtOH exposure on the expression of these miRNAs and their target genes and pathways were assessed. In women who drank alcohol (EtOH) during pregnancy and non-drinking controls, matched individually for fetal sex and gestational age, the levels of miRNAs in fetal brain-derived exosomes (FB-Es) isolated from the mothers’ serum correlated well with the contents of the corresponding fetal brain tissues obtained after voluntary pregnancy termination. In six …

Brain Cell-Type Shifts In Alzheimer’S Disease, Autism, And Schizophrenia Interrogated Using Methylomics And Genetics, Chloe X Yap, Daniel D Vo, Matthew G Heffel, Arjun Bhattacharya, Cindy Wen, Yuanhao Yang, Kathryn E Kemper, Jian Zeng, Zhili Zheng, Zhihong Zhu, Eilis Hannon, Dorothea Seiler Vellame, Alice Franklin, Christa Caggiano, Brie Wamsley, Daniel H Geschwind, Noah Zaitlen, Alexander Gusev, Bogdan Pasaniuc, Jonathan Mill, Chongyuan Luo, Michael J Gandal

Student and Faculty Publications

Few neuropsychiatric disorders have replicable biomarkers, prompting high-resolution and large-scale molecular studies. However, we still lack consensus on a more foundational question: whether quantitative shifts in cell types-the functional unit of life-contribute to neuropsychiatric disorders. Leveraging advances in human brain single-cell methylomics, we deconvolve seven major cell types using bulk DNA methylation profiling across 1270 postmortem brains, including from individuals diagnosed with Alzheimer's disease, schizophrenia, and autism. We observe and replicate cell-type compositional shifts for Alzheimer's disease (endothelial cell loss), autism (increased microglia), and schizophrenia (decreased oligodendrocytes), and find age- and sex-related changes. Multiple layers of evidence indicate that endothelial …

Graded Decisions In The Human Brain, Tao Xie, Markus Adamek, Hohyun Cho, Matthew A Adamo, Anthony L Ritaccio, Jon T Willie, Peter Brunner, Jan Kubanek

2020-Current year OA Pubs

Decision-makers objectively commit to a definitive choice, yet at the subjective level, human decisions appear to be associated with a degree of uncertainty. Whether decisions are definitive (i.e., concluding in all-or-none choices), or whether the underlying representations are graded, remains unclear. To answer this question, we recorded intracranial neural signals directly from the brain while human subjects made perceptual decisions. The recordings revealed that broadband gamma activity reflecting each individual's decision-making process, ramped up gradually while being graded by the accumulated decision evidence. Crucially, this grading effect persisted throughout the decision process without ever reaching a definite bound at the …

Modulation Of The Blood-Brain Barrier By Sigma-1r Activation, Eugen Brailoiu, Jeffrey L Barr, Hailey N Wittorf, Saadet Inan, Ellen M Unterwald, Gabriela Cristina Brailoiu

Student and Faculty Publications

Sigma non-opioid intracellular receptor 1 (Sigma-1R) is an intracellular chaperone protein residing on the endoplasmic reticulum at the mitochondrial-associated membrane (MAM) region. Sigma-1R is abundant in the brain and is involved in several physiological processes as well as in various disease states. The role of Sigma-1R at the blood-brain barrier (BBB) is incompletely characterized. In this study, the effect of Sigma-1R activation was investigated in vitro on rat brain microvascular endothelial cells (RBMVEC), an important component of the blood-brain barrier (BBB), and in vivo on BBB permeability in rats. The Sigma-1R agonist PRE-084 produced a dose-dependent increase in mitochondrial calcium, …

Abnormality Of Early White Matter Development In Tuberous Sclerosis Complex And Autism Spectrum Disorder: Longitudinal Analysis Of Diffusion Tensor Imaging Measures, Siddharth Srivastava, Fanghan Yang, Anna K Prohl, Peter E Davis, Jamie K Capal, Rajna Filip-Dhima, E Martina Bebin, Darcy A Krueger, Hope Northrup, Joyce Y Wu, Simon K Warfield, Mustafa Sahin, Bo Zhang, Tacern Study Group

Student and Faculty Publications

Background:

Abnormalities in white matter development may influence development of autism spectrum disorder in tuberous sclerosis complex (TSC). Our goals for this study were as follows: (1) use data from a longitudinal neuroimaging study of tuberous sclerosis complex (TACERN) to develop optimized linear mixed effects models for analyzing longitudinal, repeated diffusion tensor imaging metrics (fractional anisotropy, mean diffusivity) pertaining to select white matter tracts, in relation to positive Autism Diagnostic Observation Schedule–Second Edition classification at 36 months, and (2) perform an exploratory analysis using optimized models applied to all white matter tracts from these data.

Methods:

Eligible participants (3-12 months) …

A Precision Functional Atlas Of Personalized Network Topography And Probabilities, Robert J M Hermosillo, Ally Dworetsky, Babatunde Adeyemo, Caterina Gratton, Steven Petersen, Nico U F Dosenbach, Et Al.

2020-Current year OA Pubs

Although the general location of functional neural networks is similar across individuals, there is vast person-to-person topographic variability. To capture this, we implemented precision brain mapping functional magnetic resonance imaging methods to establish an open-source, method-flexible set of precision functional network atlases-the Masonic Institute for the Developing Brain (MIDB) Precision Brain Atlas. This atlas is an evolving resource comprising 53,273 individual-specific network maps, from more than 9,900 individuals, across ages and cohorts, including the Adolescent Brain Cognitive Development study, the Developmental Human Connectome Project and others. We also generated probabilistic network maps across multiple ages and integration zones (using a …

Astrocytes As A Mechanism For Contextually-Guided Network Dynamics And Function, Lulu Gong, Fabio Pasqualetti, Thomas Papouin, Shinung Ching

2020-Current year OA Pubs

Astrocytes are a ubiquitous and enigmatic type of non-neuronal cell and are found in the brain of all vertebrates. While traditionally viewed as being supportive of neurons, it is increasingly recognized that astrocytes play a more direct and active role in brain function and neural computation. On account of their sensitivity to a host of physiological covariates and ability to modulate neuronal activity and connectivity on slower time scales, astrocytes may be particularly well poised to modulate the dynamics of neural circuits in functionally salient ways. In the current paper, we seek to capture these features via actionable abstractions within …

Interaction Of High-Fat Diet And Brain Trauma Alters Adipose Tissue Macrophages And Brain Microglia Associated With Exacerbated Cognitive Dysfunction, Rebecca J Henry, James P Barrett, Maria Vaida, Niaz Z Khan, Oleg Makarevich, Rodney M Ritzel, Alan I Faden, Bogdan A Stoica

Student and Faculty Publications

Obesity increases the morbidity and mortality of traumatic brain injury (TBI). Detailed analyses of transcriptomic changes in the brain and adipose tissue were performed to elucidate the interactive effects between high-fat diet-induced obesity (DIO) and TBI. Adult male mice were fed a high-fat diet (HFD) for 12 weeks prior to experimental TBI and continuing after injury. High-throughput transcriptomic analysis using Nanostring panels of the total visceral adipose tissue (VAT) and cellular components in the brain, followed by unsupervised clustering, principal component analysis, and IPA pathway analysis were used to determine shifts in gene expression patterns and molecular pathway activity. Cellular …

Tissue-Specific Atlas Of Trans-Models For Gene Regulation Elucidates Complex Regulation Patterns, Robert Dagostino, Assaf Gottlieb

Student and Faculty Publications

BACKGROUND: Deciphering gene regulation is essential for understanding the underlying mechanisms of healthy and disease states. While the regulatory networks formed by transcription factors (TFs) and their target genes has been mostly studied with relation to cis effects such as in TF binding sites, we focused on trans effects of TFs on the expression of their transcribed genes and their potential mechanisms.

RESULTS: We provide a comprehensive tissue-specific atlas, spanning 49 tissues of TF variations affecting gene expression through computational models considering two potential mechanisms, including combinatorial regulation by the expression of the TFs, and by genetic variants within the …

Topmed Imputed Genomics Enhances Genomic Atlas Of The Human Proteome In Brain, Cerebrospinal Fluid, And Plasma, Heng Yi, Qijun Yang, Charlie Repaci, Cheolmin Matthew Lee, Gyujin Heo, Jigyasha Timsina, Priyanka Gorijala, Chengran Yang, John Budde, Lihua Wang, Carlos Cruchaga, Yun Ju Sung

2020-Current year OA Pubs

Comprehensive expression quantitative trait loci studies have been instrumental for understanding tissue-specific gene regulation and pinpointing functional genes for disease-associated loci in a tissue-specific manner. Compared to gene expressions, proteins more directly affect various biological processes, often dysregulated in disease, and are important drug targets. We previously performed and identified tissue-specific protein quantitative trait loci in brain, cerebrospinal fluid, and plasma. We now enhance this work by analyzing more proteins (1,300 versus 1,079) and an almost twofold increase in high quality imputed genetic variants (8.4 million versus 4.4 million) by using TOPMed reference panel. We identified 38 genomic regions associated …

Identifying Covariate-Related Subnetworks For Whole-Brain Connectome Analysis, Shuo Chen, Yuan Zhang, Qiong Wu, Chuan Bi, Peter Kochunov, L Elliot Hong

Student and Faculty Publications

Whole-brain connectome data characterize the connections among distributed neural populations as a set of edges in a large network, and neuroscience research aims to systematically investigate associations between brain connectome and clinical or experimental conditions as covariates. A covariate is often related to a number of edges connecting multiple brain areas in an organized structure. However, in practice, neither the covariate-related edges nor the structure is known. Therefore, the understanding of underlying neural mechanisms relies on statistical methods that are capable of simultaneously identifying covariate-related connections and recognizing their network topological structures. The task can be challenging because of false-positive …

Multisensory Flicker Modulates Widespread Brain Networks And Reduces Interictal Epileptiform Discharges, Lou T Blanpain, Eric R Cole, Emily Chen, James K Park, Michael Y Walelign, Robert E Gross, Brian T Cabaniss, Jon T Willie, Annabelle C Singer

2020-Current year OA Pubs

Modulating brain oscillations has strong therapeutic potential. Interventions that both non-invasively modulate deep brain structures and are practical for chronic daily home use are desirable for a variety of therapeutic applications. Repetitive audio-visual stimulation, or sensory flicker, is an accessible approach that modulates hippocampus in mice, but its effects in humans are poorly defined. We therefore quantified the neurophysiological effects of flicker with high spatiotemporal resolution in patients with focal epilepsy who underwent intracranial seizure monitoring. In this interventional trial (NCT04188834) with a cross-over design, subjects underwent different frequencies of flicker stimulation in the same recording session with the effect …