Article
Biology
Chiao-Yu Hsieh, Ching-Chih Tu, Jui-Hung Hung
Summary: This work proposes a computational framework, Premnas, to estimate the abundance of undetermined subpopulations from L1000 profiles in CMap. By recovering the information of subpopulation changes, the potentials of drug-resistant/susceptible subpopulations with CMap L1000 were explored. The proposed framework provides a new perspective to understand the connectivity among cellular signatures.
LIFE SCIENCE ALLIANCE
(2022)
Article
Biochemistry & Molecular Biology
Lisa Lehnen, Pierre-Loup Jan, Anne-Laure Besnard, Damien Fourcy, Gerald Kerth, Martin Biedermann, Pierrette Nyssen, Wigbert Schorcht, Eric J. Petit, Sebastien J. Puechmaille
Summary: Genetic diversity within species is essential for population and ecosystem persistence and integrity, influenced significantly by factors such as population size and connectivity. This study highlights the importance of historic bottlenecks, contemporary colony size, and connectivity in shaping genetic diversity, with contemporary connectivity having the most profound impact at a large geographic scale. Understanding the relative importance of these factors over time is crucial for effective conservation planning.
Article
Neurosciences
Bernadette C. M. van Wijk, Wolf-Julian Neumann, Daniel Kroneberg, Andreas Horn, Friederike Irmen, Tilmann H. Sander, Qiang Wang, Vladimir Litvak, Andrea A. Kuehn
Summary: This study investigated the structural connectivity profile of the subthalamic nucleus (STN) using local field potential recordings and simultaneous magnetoencephalography. The results suggest the existence of a frequency-specific topography of cortico-STN coherence within the STN, with considerable spatial overlap between functional networks.
Article
Psychology, Clinical
Yong-ming Wang, Xin-lu Cai, Rui-ting Zhang, Yi-jing Zhang, Han-yu Zhou, Yi Wang, Ya Wang, Jia Huang, Yan-yu Wang, Eric F. C. Cheung, Raymond C. K. Chan
Summary: This study found specific changes in brain connectivity associated with high schizotypy. These changes included increased structural connectivity probability within the task control network and within the default mode network, increased variability and decreased stability of functional connectivity within the default mode network and between the auditory network and the subcortical network, and decreased static mean functional connectivity strength mainly associated with the sensorimotor network, the default mode network, and the task control network.
PSYCHOLOGICAL MEDICINE
(2022)
Article
Engineering, Biomedical
Sandeep Avvaru, Noam Peled, Nicole R. Provenza, Alik S. Widge, Keshab K. Parhi
Summary: Research suggests that direct electrical brain stimulation can enhance cognitive control and decision-making, with a novel method called MVNM effectively detecting cognitive control deficits. Effective networks can differentiate task engagement from background neural activity, while task engagement networks highlight the crucial role of the dlPFC in cognitive tasks.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Neurosciences
Sara M. Motlaghian, Aysenil Belger, Juan R. Bustillo, Judith M. Ford, Armin Iraji, Kelvin Lim, Daniel H. Mathalon, Bryon A. Mueller, Daniel O'Leary, Godfrey Pearlson, Steven G. Potkin, Adrian Preda, Theo G. M. van Erp, Vince D. Calhoun
Summary: In this work, the researchers focused on explicitly nonlinear relationships in functional networks by introducing a technique using normalized mutual information (NMI). They demonstrated their proposed approach using simulated data and applied it to a dataset of schizophrenia patients and healthy controls. The analysis showed a modularized nonlinear relationship among brain functional networks, particularly in the sensory and visual cortex. Group analysis identified significant differences in explicitly nonlinear functional network connectivity (FNC) between the two groups, with controls showing more nonlinearity in most cases. The results suggest that quantifying nonlinear dependencies of functional connectivity may provide a complementary and potentially important tool for studying brain function.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Jun Liu, Lechan Sun, Jun Liu, Min Huang, Yichen Xu, Rihui Li
Summary: This study utilized a deep learning neural network to automatically recognize music-evoked emotions by combining region-specific information and dynamic functional connectivity of EEG signals. The results showed that the highest classification accuracy was achieved with the best channel combination located in the frontal region. Additionally, longer temporal functional networks of the frontal cortex improved the performance of emotion recognition.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Engineering, Biomedical
Cooper J. Mellema, Albert A. Montillo
Summary: This study aims to propose new measures of human brain connectivity to address gaps in the existing measures and facilitate the study of brain function, cognitive capacity, and early markers of human disease. Two new measures of functional and effective connectivity are proposed, using machine learning techniques to capture linear and nonlinear aspects of brain associations. The proposed measures demonstrate higher reproducibility and predictive power compared to traditional measures.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Neurosciences
Jose Maria Martinez de Paz, Emilie Mace
Summary: Functional ultrasound (fUS) is a hemodynamic-based neuroimaging technique with high spatiotemporal resolution, large field of view, and compatibility with behavior, making it well-suited for studying patterns of correlated activity between brain regions and brain-wide pathways associated with behavior. By combining fUS with optogenetics, its capabilities can be further enhanced, promising a significant impact in multi-modal studies.
Article
Neurosciences
Vaibhav Tripathi, David C. Somers
Summary: The cerebellum is gaining attention as a key area for cognitive function, and individual differences in its organization are not well-studied. This study used "Connectome Fingerprinting" to predict individual brain activity based on their connectome. The results showed that the cortico-cerebellar connections involving non-motor portions of the cerebral cortex carried the most information about individual differences in cerebellar function. This approach may be useful for studying patients with cerebellar dysfunction.
Review
Neurosciences
Raphael Underwood, Eva Tolmeijer, Johannes Wibroe, Emmanuelle Peters, Liam Mason
Summary: Existing models of emotion processing mainly rely on brain activation data, but assumptions about network connectivity need to be integrated. Studies on effective connectivity reveal context-dependent dynamic modulatory relationships, challenging purely top-down regulatory models.
Article
Neurosciences
Evgeny J. Chumin, Joshua Faskowitz, Farnaz Zamani Esfahlani, Youngheun Jo, Haily Merritt, Jacob Tanner, Sarah A. Cutts, Maria Pope, Richard Betzel, Olaf Sporns
Summary: The study revealed an organized coupling between the subcortex and cortex, which may play a role in the cortical organization of primary sensorimotor/attention and heteromodal systems. The motif analysis of edge community triads was proposed as a promising method for investigating communication patterns in networks.
Article
Computer Science, Artificial Intelligence
Jichao Ma, Yanjiang Wang, Baodi Liu, Weifeng Liu
Summary: The study explores the relationship between the structural connectivity (SC) and functional connectivity (FC) in human brain networks, proposing a model based on hypergraph Laplacian to simulate brain functional correlations, including negative correlations. By utilizing the SC of human brain networks, the model can accurately simulate empirical data and outperform the state-of-art graph diffusion model.
Article
Clinical Neurology
Michael Eyre, Sean P. Fitzgibbon, Judit Ciarrusta, Lucilio Cordero-Grande, Anthony N. Price, Tanya Poppe, Andreas Schuh, Emer Hughes, Camilla O'Keeffe, Jakki Brandon, Daniel Cromb, Katy Vecchiato, Jesper Andersson, Eugene P. Duff, Serena J. Counsell, Stephen M. Smith, Daniel Rueckert, Joseph Hajnal, Tomoki Arichi, Jonathan O'Muircheartaigh, Dafnis Batalle, A. David Edwards
Summary: The Developing Human Connectome Project provides a framework to study brain development in humans at term-equivalent age, showing maturation of resting state networks and alterations in functional connectivity in preterm infants. Female infants exhibit increased connectivity in certain brain regions, while preterm birth leads to extensive disruptions in functional connectivity.
Article
Neurosciences
Chengyuan Wu, Francisca Ferreira, Michael Fox, Noam Harel, Jona Hattangadi-Gluth, Andreas Horn, Saad Jbabdi, Joshua Kahan, Ashwini Oswal, Sameer A. Sheth, Yanmei Tie, Vejay Vakharia, Ludvic Zrinzo, Harith Akram
Summary: Advances in computational neuroimaging techniques have expanded the arsenal of imaging tools available for clinical neuroscience, allowing for identification of therapeutic targets, preservation of eloquent brain regions, and insight into pathological processes and treatments. However, factors such as data quality, processing methodology, and statistical models can impact results. Lack of standardization in data acquisition and processing has led to issues with reproducibility.
Article
Biodiversity Conservation
Faye Wedrowicz, Jennifer Mosse, Wendy Wright, Fiona E. Hogan
CONSERVATION GENETICS RESOURCES
(2019)
Article
Biodiversity Conservation
Z. S. Atkins, M. D. Amor, N. Clemann, D. G. Chapple, G. M. While, M. G. Gardner, M. L. Haines, K. A. Harrisson, M. Schroder, K. A. Robert
ANIMAL CONSERVATION
(2020)
Article
Biochemistry & Molecular Biology
Katherine A. Harrisson, Michael J. L. Magrath, Jian D. L. Yen, Alexandra Pavlova, Neil Murray, Bruce Quin, Peter Menkhorst, Kimberly A. Miller, Karina Cartwright, Paul Sunnucks
Article
Pharmacology & Pharmacy
Oisin Kavanagh, Fiona Hogan, Caoimhe Murphy, Denise Croker, Gavin Walker
Article
Biochemistry & Molecular Biology
Bonnie L. Quigley, Faye Wedrowicz, Fiona Hogan, Peter Timms
Summary: The study focuses on the endogenization of koala retrovirus (KoRV) in koalas in different regions of Australia. It reveals that Northern Australian koalas are consistent in their endogenization levels, while Southern Australian koalas show lower endogenization levels. Different KoRV variants are distributed and related differently in koalas, with a distinct shift in variant proportions in southeast New South Wales, suggesting a transition from predominantly endogenous to exogenous KoRV in Australian koalas.
Article
Biochemistry & Molecular Biology
Diana A. Robledo-Ruiz, Alexandra Pavlova, Rohan H. Clarke, Michael J. L. Magrath, Bruce Quin, Katherine A. Harrisson, Han Ming Gan, Gabriel W. Low, Paul Sunnucks
Summary: The article presents an analytical framework for evaluating the efficacy of breeding management strategies for wild populations, showing that the proposed strategies did not significantly improve genetic quality or reduce inbreeding in the critically endangered helmeted honeyeater population. The results demonstrate the usefulness of the analytical framework for testing different in situ breeding strategies and making evidence-based management decisions.
MOLECULAR ECOLOGY RESOURCES
(2022)
Article
Biodiversity Conservation
Anna F. Senior, Nick Clemann, Michael G. Gardner, Katherine A. Harrisson, Geoffrey M. While, David G. Chapple
Summary: The threatened swamp skink (Lissolepis coventryi) has experienced significant habitat loss in the last 150 years, leading to the separation of populations into distinct lineages. Populations in the Melbourne metropolitan area showed signs of limited genetic diversity, likely due to geological and climate influences causing isolation of populations. Management strategies such as translocations, habitat restoration, and protection are important for the conservation of L. coventryi.
CONSERVATION GENETICS
(2022)
Article
Biochemistry & Molecular Biology
Alexandra Pavlova, Katherine A. Harrisson, Rustam Turakulov, Yin Peng Lee, Brett A. Ingram, Dean Gilligan, Paul Sunnucks, Han Ming Gan
Summary: This study identified sex-linked loci in Macquarie perch and developed a cost-effective sexing assay using genomic and resequencing data. The research revealed high instability of sex chromosomes in Percichthyidae fishes, with differences in sex-linked positions observed between species and populations.
MOLECULAR ECOLOGY RESOURCES
(2022)
Article
Ecology
Erin Hill, Nicholas Murphy, Scarlett Li-Williams, Christopher Davies, David Forsyth, Sebastien Comte, Lee Ann Rollins, Fiona Hogan, Faye Wedrowicz, Troy Crittle, Elaine Thomas, Luke Woodford, Carlo Pacioni
Summary: Introduced sambar and rusa deer populations in south-eastern Australia are subject to local control efforts. It is important to understand dispersal capability, population structure, and hybridisation rates for effective management. Genetic analysis reveals distinct management units and limited dispersal.
Article
Ecology
Christopher Davies, Wendy Wright, Faye Wedrowicz, Carlo Pacioni, Fiona E. Hogan
Summary: Genetic approach was used to identify three genetically distinct sambar deer management units in southeastern Australia. Control strategies should be applied independently to each management unit for effective management.
Article
Fisheries
J. E. O'Dwyer, N. Murphy, Z. Tonkin, J. Lyon, W. Koster, D. Dawson, F. Amtstaetter, K. A. Harrisson
Summary: The study found differences in genetic connectivity among three diadromous Australian fish species, with common galaxias being highly connected while Australian grayling and tupong showed patterns of isolation by distance. The genetic connectivity of tupong and Australian grayling appeared to be unrelated to oceanic currents, highlighting the potential value of genetic tools in informing species-specific management plans.
MARINE AND FRESHWATER RESEARCH
(2021)
Article
Zoology
Christopher Davies, Wendy Wright, Fiona Hogan, Casey Visintin
AUSTRALIAN MAMMALOGY
(2020)
Article
Zoology
Christopher Davies, Wendy Wright, Fiona E. Hogan, Hugh Davies
AUSTRALIAN MAMMALOGY
(2020)
Article
Zoology
Chris Davies, Wendy Wright, Faye Wedrowicz, Fiona E. Hogan
AUSTRALIAN MAMMALOGY
(2020)
Article
Ornithology
James Q. Radford, Nevil Amos, Katherine Harrisson, Paul Sunnucks, Alexandra Pavlova
Summary: This review article highlights the impact of habitat loss and fragmentation on population adaptation, as well as the finding that high genetic connectivity does not necessarily indicate healthy populations. The study conducted on woodland bird species in central Victoria, Australia provides valuable insights for conservation management strategies.
EMU-AUSTRAL ORNITHOLOGY
(2021)