MetaLigand: A database for predicting non-peptide ligand mediated cell-cell communication

Posted by dbos Hopkins, This Week: Neuroscience

Kavli Affiliate: Richard Axel | Authors: Andrew Jacob Pixley Fink, Samuel Muscinelli, Shuqi Wang, Marcus I Hogan, Daniel Fine English, Richard Axel, Ashok Litwin-Kumar and Carl E. Schoonover | Summary: Non-peptide ligands (NPLs), including lipids, amino acids, carbohydrates, and non-peptide neurotransmitters and hormones, play a critical role in ligand-receptor-mediated cell-cell communication, driving diverse physiological and […]


Continue.. MetaLigand: A database for predicting non-peptide ligand mediated cell-cell communication

Atlas of plasma metabolic markers linked to human brain morphology

Posted by dbos Hopkins, This Week: Neuroscience, UCSD / Salk

Kavli Affiliate: Anders Dale | Authors: Dennis van der Meer, Jakub Kopal, Alexey Shadrin, Julian Fuhrer, Jaroslav Rokicki, Sara Stinson, Srdjan Djurovic, Anders Dale and Ole Andreassen | Summary: Background Metabolic processes form the basis of the development, functioning and maintenance of the brain. Despite accumulating evidence of the vital role of metabolism in brain […]


Continue.. Atlas of plasma metabolic markers linked to human brain morphology

Dissociation of SYNGAP1 Enzymatic and Structural Roles: Intrinsic Excitability and Seizure Susceptibility

Posted by dbos Hopkins, This Week: Neuroscience

Kavli Affiliate: Richard Huganir | Authors: Julia Brill, Blaise Clarke, Ingie Hong and Richard L. Huganir | Summary: SYNGAP1 is a key Ras-GAP protein enriched at excitatory synapses, with mutations causing intellectual disability and epilepsy in humans. Recent studies have revealed that in addition to its role as a negative regulator of G-protein signaling through […]


Continue.. Dissociation of SYNGAP1 Enzymatic and Structural Roles: Intrinsic Excitability and Seizure Susceptibility

Control of tongue movements by the Purkinje cells of the cerebellum

Posted by dbos Hopkins

Kavli Affiliate: Reza Shadmehr | Authors: Paul Hage, Mohammad Amin Fakharian, Alden M. Shoup, Jay S Pi, Ehsan Sedaghat-Nejad, Simon P Orozco, In Kyu Jang, Vivian Looi, Toren Arginteanu and Reza Shadmehr | Summary: To quantify the cerebellum’s contributions to control of the tongue, we trained head-fixed marmosets to make dexterous movements, harvesting food from […]


Continue.. Control of tongue movements by the Purkinje cells of the cerebellum

Navigating the Maze: Identifying Potential Pitfalls in Attention State Classification from fMRI Brain Patterns

Posted by dbos Hopkins

Kavli Affiliate: David Linden | Authors: Ruben Andreas Bressler, Assunta Ciarlo, Sophie Raible, Giancarlo Valente, Michael Lührs, Ralph Tier, David E Linden and Rainer Goebel | Summary: Multi-voxel pattern analysis (MVPA) is a powerful technique to decode brain states from functional magnetic resonance imaging (fMRI) activity patterns. In neurofeedback (NF) applications, it has been used […]


Continue.. Navigating the Maze: Identifying Potential Pitfalls in Attention State Classification from fMRI Brain Patterns

Image Processing in the Acute to Chronic Pain Signatures (A2CPS) Project

Posted by dbos Hopkins

Kavli Affiliate: Brian Caffo | Authors: Patrick Sadil, Konstantinos Arfanakis, Enamul Hoque Bhuiyan, Brian Caffo, Vince D Calhoun, Daniel J Clauw, Mark C DeLano, James C Ford, Ramtalik Gattu, Xiaodong Guo, Richard E Harris, Eric Ichesco, Micah A Johnson, Heejung Jung, Ari B Kahn, Chelsea M Kaplan, Nondas Leloudas, Martin A Lindquist, Qingfei Luo, Todd […]


Continue.. Image Processing in the Acute to Chronic Pain Signatures (A2CPS) Project

Neural mechanisms underlying the effects of cognitive fatigue on physical effort-based decision-making Michael Dryzer and Vikram S. Chib

Posted by dbos Hopkins

Kavli Affiliate: Vikram Chib | Authors: Michael Dryzer and Vikram S. Chib | Summary: Fatigue is a state of exhaustion that influences our willingness to engage in effortful tasks. While both physical and cognitive exertion can cause fatigue, there is a limited understanding of how fatigue in one exertion domain (e.g., cognitive) affects decisions to […]


Continue.. Neural mechanisms underlying the effects of cognitive fatigue on physical effort-based decision-making Michael Dryzer and Vikram S. Chib

An integrated single-nucleus and spatial transcriptomics atlas reveals the molecular landscape of the human hippocampus

Posted by dbos Hopkins

Kavli Affiliate: Keri Martinowich | Authors: Erik D. Nelson, Madhavi Tippani, Anthony D. Ramnauth, Heena R. Divecha, Ryan A. Miller, Nicholas J. Eagles, Elizabeth A. Pattie, Sang Ho Kwon, Svitlana V. Bach, Uma M. Kaipa, Jianing Yao, Joel E. Kleinman, Leonardo Collado-Torres, Shizhong Han, Kristen R. Maynard, Thomas M. Hyde, Keri Martinowich, Stephanie C. Page […]


Continue.. An integrated single-nucleus and spatial transcriptomics atlas reveals the molecular landscape of the human hippocampus

Robust characterization of selectivity of individual neurons to distinct task-relevant behavioral states using calcium imaging

Posted by dbos Hopkins

Kavli Affiliate: Shreesh P. Mysore | Authors: Huixin Huang, Garima Shah, Hita Adwanikar and Shreesh Mysore | Summary: Investigations into the neural basis of behavior have recently employed fluorescence imaging of calcium dynamics in a variety of brain areas to measure neural responses. However, across studies, diverse and seemingly subjective methodological choices have been made […]


Continue.. Robust characterization of selectivity of individual neurons to distinct task-relevant behavioral states using calcium imaging

Multi-sample non-negative spatial factorization

Posted by dbos Hopkins

Kavli Affiliate: Loyal Goff | Authors: Yi Wang, Kyla Woyshner, Chaichontat Sriworarat, Genevieve Stein-O’Brien, Loyal A Goff and Kasper D Hansen | Summary: Analyzing multi-sample spatial transcriptomics data requires accounting for biological variation. We present multi-sample non-negative spatial factorization (mNSF), an alignment-free framework extending single-sample spatial factorization (NSF) to multi-sample datasets. mNSF incorporates sample-specific spatial […]


Continue.. Multi-sample non-negative spatial factorization