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Metabolic connectivity-based single subject classification by multi-regional linear approximation in the rat

Maximilian Grosch, Leonie Beyer, Magdalena Lindner, Lena Kaiser, Seyed-Ahmad Ahmadi, Anna Stockbauer, Peter Bartenstein, Marianne Dieterich, Matthias Brendel, Andreas Zwergal, Sibylle Ziegler
2021 NeuroImage  
Classification in different stages after UL was performed by determining connectivity patterns for the different classes by Pearson's correlation between uptake values in atlas-based segmented brain regions  ...  Rats were classified by determining the congruence of their PET uptake pattern with the fitted connectivity patterns in the classes.  ...  Acknowledgements The authors would like to thank the preclinical imaging team of the Nuclear Medicine Department of the LMU for their consistent commitment to the imaging tasks and their excellent documentation  ... 
doi:10.1016/j.neuroimage.2021.118007 pmid:33831550 fatcat:nh7idwkmrzdi7bfm62lyfac7dq

Model-based prediction of muscarinic receptor function from auditory mismatch negativity responses

Dario Schöbi, Fabienne Homberg, Stefan Frässle, Heike Endepols, Rosalyn J Moran, Karl J Friston, Marc Tittgemeyer, Jakob Heinzle, Klaas Enno Stephan
2021 NeuroImage  
To this end, we used epidural EEG recordings over two auditory cortical regions during a mismatch negativity (MMN) paradigm in rats.  ...  Drugs affecting neuromodulation, for example by dopamine or acetylcholine, take centre stage among therapeutic strategies in psychiatry.  ...  Electrode position was determined based on stereotaxic location using the coordinates proposed by Doron et al. (2002) , who distinguished the two tonotopic regions based on the firing pattern of single  ... 
doi:10.1016/j.neuroimage.2021.118096 pmid:33940149 fatcat:43ybbr562zcsvd6hxrql3upzea

Model-based prediction of muscarinic receptor function from auditory mismatch negativity responses [article]

Dario Sch&oumlbi, Fabienne Jung, Stefan Fr&aumlssle, Heike Endepols, Rosalyn J. Moran, Karl J. Friston, Marc Tittgemeyer, Jakob Heinzle, Klaas Enno Stephan
2020 bioRxiv   pre-print
To this end, we used epidural EEG recordings over two auditory cortical regions during a mismatch negativity (MMN) paradigm in rats.  ...  Drugs affecting neuromodulation, for example by dopamine or acetylcholine, take centre stage among therapeutic strategies in psychiatry.  ...  Electrode position was determined based on stereotaxic location using the coordinates proposed by Doron et al. (2002) , who distinguished the two tonotopic regions based on the firing pattern of single  ... 
doi:10.1101/2020.06.08.139550 fatcat:uvwfptpsqbcvhhiotv5inem3mm

Identification of Targeted Analyte Clusters for Studies of Schizophrenia

Tammy M. K. Cheng, Yu-En Lu, Paul C. Guest, Hassan Rahmoune, Laura W. Harris, Lan Wang, Dan Ma, Victoria Stelzhammer, Yagnesh Umrania, Matt T. Wayland, Pietro Lió, Sabine Bahn
2009 Molecular & Cellular Proteomics  
The strength of patterned signals was amplified by analyzing data in reproducing kernel spaces.  ...  This resulted in the identification of small sets of analytes referred to as targeted clusters that have discriminative power specifically for schizophrenia in both human and rat models.  ...  The precision was calculated as the number of patients (red dots) in the prediction region (in red) divided by the total number of cases in the prediction region (or can be formulated as TP/(TP ϩ FP) where  ... 
doi:10.1074/mcp.m900372-mcp200 pmid:20007949 pmcid:PMC2849715 fatcat:yrdmu74khvc2darftz32amvmsu

Brown adipose tissue in humans

Kirsi A Virtanen, Pirjo Nuutila
2011 Current Opinion in Lipidology  
Research with the aim to translate findings of the beneficial effects induced by brown adipose tissue (BAT) on metabolism, as seen in various non--human experimental systems to also include human metabolism  ...  The focus is on detection and functional analysis of human BAT and how this can be facilitated by applying advanced imaging technology such as: PET (Positron Emission Tomography), MRI (Magnetic Resonance  ...  By using multi--echo chemical shift imaging (Dixon 1984) , the fat and water signals can be separated based on the difference in their resonance frequencies.  ... 
doi:10.1097/mol.0b013e3283425243 pmid:21157334 fatcat:jvgwvmbsc5b2hlwbrxmvevvs4u

Brown adipose tissue in humans

Pirjo Nuutila
2015 Annals of Medicine  
Research with the aim to translate findings of the beneficial effects induced by brown adipose tissue (BAT) on metabolism, as seen in various non--human experimental systems to also include human metabolism  ...  The focus is on detection and functional analysis of human BAT and how this can be facilitated by applying advanced imaging technology such as: PET (Positron Emission Tomography), MRI (Magnetic Resonance  ...  By using multi--echo chemical shift imaging (Dixon 1984) , the fat and water signals can be separated based on the difference in their resonance frequencies.  ... 
doi:10.3109/07853890.2015.1019917 pmid:25839903 fatcat:u4zfnv73jjh7ldmlgzs7j2rrsa

Brown adipose tissue in humans

S Enerbäck
2010 International Journal of Obesity  
Research with the aim to translate findings of the beneficial effects induced by brown adipose tissue (BAT) on metabolism, as seen in various non--human experimental systems to also include human metabolism  ...  The focus is on detection and functional analysis of human BAT and how this can be facilitated by applying advanced imaging technology such as: PET (Positron Emission Tomography), MRI (Magnetic Resonance  ...  By using multi--echo chemical shift imaging (Dixon 1984) , the fat and water signals can be separated based on the difference in their resonance frequencies.  ... 
doi:10.1038/ijo.2010.183 pmid:20935666 fatcat:2e26fuqbhvaixgo47ugksao4q4

Transcriptional signatures of connectomic subregions of the human striatum [article]

Linden Parkes, Ben Fulcher, Murat Yucel, Alex Fornito
2016 bioRxiv   pre-print
Our findings highlight a close link between regional variations in transcriptional activity and inter-regional connectivity in the brain, and suggest that there may be a strong genomic signature of connectomically-defined  ...  with 80-90% classification accuracy using linear support vector machines.  ...  Each PC represents an orthogonal dimension of linear covariance across all genes. Thus, PCs that contribute to classification do so based on the correlated expression of genes acting in concert.  ... 
doi:10.1101/089458 fatcat:ypde6sh4qbf6lf2xsspwmw2jmm

eng

A.Valli, G.Wiselin Jiji
2020 Zenodo  
Dopamine Reduction gets automatically diagnosed by CAD and PD/normal patients can be found.  ...  Dopamine nerve terminals can be reduced in the brain parts such as Substantia nigra, Striatum, and other brain structures. This reduction which will lead to Parkinson's disease.  ...  Visualization and assessment of changes in cerebral blood flow, glucose metabolism, and neurotransmitter can be done by Positron emission tomography (PET) and single-photon emission tomography (SPECT).  ... 
doi:10.5281/zenodo.3993925 fatcat:tq2qgpb4evbxxishsc5yf5ggba

Acute thalamic damage as a prognostic biomarker for post‐traumatic epileptogenesis

Eppu Manninen, Karthik Chary, Niina Lapinlampi, Pedro Andrade, Tomi Paananen, Alejandra Sierra, Jussi Tohka, Olli Gröhn, Asla Pitkänen
2021 Epilepsia  
This study was supported by the European Union's Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 602102 (EPITARGET)(AP), the Academy of Finland (AP: Grants 272249, 273909, and 2285733  ...  -9; AS: Grants 275453, 284544, and 312686; JT: Grant 316258), and the Sigrid Jusélius Foundation (AP).  ...  For example, using the diagnostic classification F I G U R E 4 Multi-variable logistic regression thalamic T 2 and diffusion tensor magnetic resonance imaging (MRI) analysis in rats after traumatic brain  ... 
doi:10.1111/epi.16986 pmid:34245005 fatcat:hemullc3sbdi3piqnz2xqppxgy

Distributions of Irritative Zones Are Related to Individual Alterations of Resting-State Networks in Focal Epilepsy

Yinchen Song, Basavaraju G. Sanganahalli, Fahmeed Hyder, Wei-Chiang Lin, Jorge J. Riera, Daniele Marinazzo
2015 PLoS ONE  
Alterations in the connectivity patterns of the fMRI-based resting-state networks (RSNs) have been reported in several types of epilepsies.  ...  In our opinion, the shutdown of specific nodes of the default mode network may cause uncontrollable excitability in other functionally connected brain areas.  ...  Acknowledgments The authors would like to express gratitude to Dr.  ... 
doi:10.1371/journal.pone.0134352 pmid:26226628 pmcid:PMC4520590 fatcat:77okr3qg4fa7vbldotj7die3yi

MACHINE LEARNING FOR DETECTION AND DIAGNOSIS OF DISEASE

Paul Sajda
2006 Annual Review of Biomedical Engineering  
The review describes recent developments in machine learning, focusing on supervised and unsupervised linear methods and Bayesian inference, which have made significant impacts in the detection and diagnosis  ...  This review focuses on several advances in the state of the art that have shown promise in improving detection, diagnosis, and therapeutic monitoring of disease.  ...  ACKNOWLEDGMENTS This work was supported in part by grants from the National Science Foundation, National Institutes of Health, and the Office of Naval Research Multidisciplinary University Research Initiative  ... 
doi:10.1146/annurev.bioeng.8.061505.095802 pmid:16834566 fatcat:tjxtpone55ai3nn5yapsniu4le

Multi-radial LBP Features as a Tool for Rapid Glomerular Detection and Assessment in Whole Slide Histopathology Images [article]

Olivier Simon, Rabi Yacoub, Sanjay Jain, Pinaki Sarder
2017 arXiv   pre-print
We also apply our LBP-based descriptor to successfully detect pathologic changes in a mouse model of diabetic nephropathy.  ...  We envision potential clinical and laboratory applications for this approach in the study and diagnosis of glomerular disease, and as a means of greatly accelerating the construction of feature sets to  ...  For precision improvement of multi-stain glomerular detection, a GoogLeNet classification model was trained in DIGITS with Nesterov's Accelerated Gradient, using the full rat training set of 7099(+) images  ... 
arXiv:1709.01998v2 fatcat:udwv5ajx25gxxjxtu25c37zhd4

Imaging Regional Metabolic Changes in the Ischemic Rat Heart In Vivo Using Hyperpolarized [1- 13 C]Pyruvate

2017 Tomography  
It's simple: You need to glean more information from every in vivo experiment, giving you maximum data to enhance and broaden your biological understanding.  ...  The funder provided support in the form of salaries for authors [MHL], but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the  ...  The specific roles of these authors are articulated in the "author contributions" section.  ... 
doi:10.18383/j.tom.2017.00008 pmid:30042976 pmcid:PMC6024437 fatcat:ccwd7apcrfamraaxfcxzcrnvee

Spectroscopic and Statistical Techniques for Information Recovery in Metabonomics and Metabolomics

John C. Lindon, Jeremy K. Nicholson
2008 Annual Review of Analytical Chemistry  
Methods for generating and interpreting metabolic profiles based on nuclear magnetic resonance (NMR) spectroscopy, mass spectrometry (MS), and chemometric analysis methods are summarized and the relative  ...  Given that all data sets measured to date only probe subsets of complex metabolic profiles, we describe recent developments for enhanced information recovery from the resulting complex data sets, including  ...  Additionally, a novel classification method, termed Classification Of Unknowns by Density Superposition (CLOUDS), has been generated in order to identify the class of toxicity based on all of the NMR data  ... 
doi:10.1146/annurev.anchem.1.031207.113026 pmid:20636074 fatcat:lmwzzy6ferdg7crihyqmjfdbey
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