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Brain Functional Networks in the Developing Brain Using Resting BOLD [chapter]

Wei Gao, Hongtu Zhou, Kelly Giovanello, J. Keith Smith, Dinggang Shen, John Gilmore, Weili Lin
2014 Advanced Brain Neuroimaging Topics in Health and Disease - Methods and Applications  
Oxygenation-sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields.  ...  Default-mode network activity distinguishes "lzheimer's disease from healthy aging evidence from functional MRI.  ... 
doi:10.5772/58265 fatcat:d2yxu4gthzhhfnyhyuhd6o2cgi

Transfer Learning in Magnetic Resonance Brain Imaging: A Systematic Review

Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh, Riccardo De Feo, Mithilesh Prakash, Robert Ciszek, Jussi Tohka
2021 Journal of Imaging  
In magnetic resonance imaging (MRI), transfer learning is important for developing strategies that address the variation in MR images from different imaging protocols or scanners.  ...  performed a systematic literature search for articles that applied transfer learning to MR brain imaging tasks.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/jimaging7040066 pmid:34460516 pmcid:PMC8321322 fatcat:qpqjwl4bybhsfd4vdsnt3vyyye

Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review [article]

Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh, Riccardo De Feo, Mithilesh Prakash, Robert Ciszek, Jussi Tohka
2021 arXiv   pre-print
We performed a systematic literature search for articles that applied transfer learning to MR brain imaging.  ...  Our goal is to identify research directions, gaps of knowledge, applications, and widely used strategies among the transfer learning approaches applied in MR brain imaging.  ...  Transfer learning approaches relevant to MR brain imaging We closely examined transfer learning approaches that were inherently unique to brain imaging.  ... 
arXiv:2102.01530v1 fatcat:i2frcoo6irc35pc466fxscbtvq

Brain oscillations as biomarkers in neuropsychiatric disorders [chapter]

Görsev G. Yener, Erol Başar
2013 Supplements to Clinical Neurophysiology  
In an extension to conventional anatomical, biochemical and brain imaging biomarkers, the use of neurophysiologic markers may lead to new applications for functional interpretrations and also the possibility  ...  This survey covers the potential use of neurophysiological changes as a biomarker in four neuropsychiatric diseases (attention deficit hyperactivity disorder (ADHD), Alzheimer's disease (AD), bipolar disorder  ...  360 HC ¼ healthy controls MCI ¼ mild cognitive impairment MRI ¼ magnetic resonance imaging PET ¼ positron emission tomography PLF ¼ phase-locking factor P-tau ¼ phospho-tau protein SZ ¼ schizophrenia SEO  ... 
doi:10.1016/b978-0-7020-5307-8.00016-8 pmid:24053048 fatcat:glo47bcw7bg7zhz6iaehhqi76a

Role of Hybrid Brain Imaging in Neuropsychiatric Disorders

Amer Burhan, Nicole Marlatt, Lena Palaniyappan, Udunna Anazodo, Frank Prato
2015 Diagnostics  
This is a focused review of imaging literature to scope the utility of hybrid brain imaging in neuropsychiatric disorders.  ...  An overview of clinical hybrid brain imaging technologies for human use is followed by a selective review of the literature that conceptualizes the use of these technologies in understanding basic mechanisms  ...  The wide clinical availability of brain imaging modalities such as computed tomography (CT) and later magnetic resonance (MR) imaging resulted in a tremendous amount of literature on brain structure abnormalities  ... 
doi:10.3390/diagnostics5040577 pmid:26854172 pmcid:PMC4728476 fatcat:jg22ndpmmbaihpn6dr3uo3io2e

Elucidating a Magnetic Resonance Imaging-Based Neuroanatomic Biomarker for Psychosis: Classification Analysis Using Probabilistic Brain Atlas and Machine Learning Algorithms

Daqiang Sun, Theo G.M. van Erp, Paul M. Thompson, Carrie E. Bearden, Melita Daley, Leila Kushan, Molly E. Hardt, Keith H. Nuechterlein, Arthur W. Toga, Tyrone D. Cannon
2009 Biological Psychiatry  
Magnetic resonance imaging (MRI) studies consistently find significant abnormalities in multiple brain structures in psychotic patients relative to healthy control subjects, but these abnormalities show  ...  Recently, efforts have been made to discriminate psychotic patients from healthy individuals using machine-learning-based pattern classification methods on MRI data.  ...  Thus far, most structural magnetic resonance imaging magnetic resonance imaging (MRI) studies of schizophrenia/psychosis have adopted a region-of-interest analysis or a mass-univariate method, in which  ... 
doi:10.1016/j.biopsych.2009.07.019 pmid:19729150 pmcid:PMC3192809 fatcat:tcukxgw6ojdyrjugctf65zanei

Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs

Qingbao Yu, Yuhui Du, Jiayu Chen, Jing Sui, Tulay Adali, Godfrey D. Pearlson, Vince D. Calhoun
2018 Proceedings of the IEEE  
Graph theory based analysis has become a powerful and popular approach for analyzing brain imaging data, largely because of its potential to quantitatively illuminate the networks, the static architecture  ...  The first step in creating brain graphs is to define the nodes and edges connecting them. We review a number of approaches for defining brain nodes including fixed versus data-driven nodes.  ...  Acknowledgments "This work is supported by the National Institutes of Health (NIH) grants including a COBRE grant (P20GM103472/5P20RR021938), R01 grants (R01EB005846, 1R01EB006841, 1R01DA040487, R01REB020407  ... 
doi:10.1109/jproc.2018.2825200 pmid:30364630 pmcid:PMC6197492 fatcat:uh6tvaymifgh3cubnkemqgcd5a

Structural brain characteristics in treatment-resistant depression: review of magnetic resonance imaging studies

Margit Philomène C. Klok, Philip. F. van Eijndhoven, Miklos Argyelan, Aart H. Schene, Indira Tendolkar
2019 BJPsych Open  
Conclusions The currently available data on structural brain changes in patients with TRD compared with milder forms of MDD and healthy controls cannot sufficiently distinguish between a 'shared continuum  ...  Method A systematic search of PubMed and the Cochrane Library for studies published between 1998 and August of 2016 investigating structural brain changes in patients with TRD compared with healthy controls  ...  Arnone et al 9 used a novel voxel-based technique based on the statistical parametric maps from individual magnetic resonance imaging (MRI) studies, including a total of 472 patients with MDD and 680 healthy  ... 
doi:10.1192/bjo.2019.58 pmid:31474243 pmcid:PMC6737518 fatcat:wqshkfbgqrawpiywakf2v6f6u4

Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging

Yuhui Du, Zening Fu, Vince D. Calhoun
2018 Frontiers in Neuroscience  
Brain functional imaging data, especially functional magnetic resonance imaging (fMRI) data, have been employed to reflect functional integration of the brain.  ...  SFC can be extended to DFC using a sliding-window framework, and intrinsic connectivity states along the time-varying connectivity patterns are typically extracted using clustering or decomposition approaches  ...  Science Foundation of China (Grant No. 61703253, to YD) and Natural Science Foundation of Shanxi Province (Grant No. 2016021077, to YD).  ... 
doi:10.3389/fnins.2018.00525 pmid:30127711 pmcid:PMC6088208 fatcat:b7hdtmrz4vehlhjw4fo2bewhwq

Advances in electrical impedance tomography-based brain imaging

Xi-Yang Ke, Wei Hou, Qi Huang, Xue Hou, Xue-Ying Bao, Wei-Xuan Kong, Cheng-Xiang Li, Yu-Qi Qiu, Si-Yi Hu, Li-Hua Dong
2022 Military Medical Research  
In epilepsy imaging, there have been advances in EIT imaging depth, from cortical to subcortical regions.  ...  Electrical impedance tomography (EIT) is a functional imaging technique that measures the transfer impedances between electrodes on the body surface to estimate the spatial distribution of electrical properties  ...  [144] used a flexible substrate prepared from silk bioprotein to transfer polyimide mesh microelectrode arrays to cat brains.  ... 
doi:10.1186/s40779-022-00370-7 pmid:35227324 pmcid:PMC8883715 fatcat:vp76epwkhzbaxhasy2f23qomxa

Application of Artificial Intelligence in the MRI Classification Task of Human Brain Neurological and Psychiatric Diseases: A Scoping Review

Zhao Zhang, Guangfei Li, Yong Xu, Xiaoying Tang
2021 Diagnostics  
This review first summarizes recent research advances in ML and DL techniques for classifying human brain magnetic resonance images.  ...  An in-depth understanding of the principles and applications of magnetic resonance imaging (MRI), machine learning (ML), and deep learning (DL) is fundamental for developing AI-based algorithms that can  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/diagnostics11081402 fatcat:mmouz5fb2ngzbe7jj2fyi5xpsy

Function–structure associations of the brain: Evidence from multimodal connectivity and covariance studies

Jing Sui, Rene Huster, Qingbao Yu, Judith M. Segall, Vince D. Calhoun
2014 NeuroImage  
magnetic resonance imaging (sMRI), functional MRI (fMRI), diffusion tensor imaging (DTI) and electroencephalography (EEG).  ...  Multimodal brain studies can be used to understand the complex interplay of anatomical, functional and physiological brain alterations or development, and to better comprehend the biological significance  ...  Acknowledgments This work was partially supported by the "100 Talent Plan" of Chinese Academy of Sciences (to Sui J), National Institutes of Health grants R01EB 006841 and R01EB005846 (to Calhoun VD),  ... 
doi:10.1016/j.neuroimage.2013.09.044 pmid:24084066 pmcid:PMC3969780 fatcat:tngvfiyrdreyvmcg55qyqs6o6u

Sensory and motor secondary symptoms as indicators of brain vulnerability

Nava Levit-Binnun, Michael Davidovitch, Yulia Golland
2013 Journal of Neurodevelopmental Disorders  
In addition to the primary symptoms that distinguish one disorder from the next, clinicians have identified, yet largely overlooked, another set of symptoms that appear across many disorders, termed secondary  ...  We demonstrate that their pattern of appearance--across a wide range of psychopathologies, much before the full-blown disorder appears, and in healthy individuals who display a variety of negative symptoms  ...  Finally, we wish to acknowledge the many therapists and clinicians working with individuals with difficulties from whose wisdom and knowledge we have been inspired.  ... 
doi:10.1186/1866-1955-5-26 pmid:24063566 pmcid:PMC3849186 fatcat:4vppi2hkfncahid34apynbqbhe

Consensus Document on European Brain Research

Monica Di Luca, Mary Baker, Renato Corradetti, Helmut Kettenmann, Julien Mendlewicz, Jes Olesen, Ian Ragan, Manfred Westphal
2011 European Journal of Neuroscience  
The same approach and format have been used here as in the previous version.  ...  A recent study conducted by the European Brain Council (EBC) quantified the 'cost and burden' of major brain diseases in Europe, amounting to €386bn per year.  ...  Significance of increased research Intensifying research in molecular imaging will lead to new possibilities for: noninvasive characterisation or phenotyping of patients for early diagnosis of neurodegenerative  ... 
doi:10.1111/j.1460-9568.2010.07596.x pmid:21385235 fatcat:ceg3ebmypbe4jkiyun5cuihahm

Mindboggling morphometry of human brains

Arno Klein, Satrajit S. Ghosh, Forrest S. Bao, Joachim Giard, Yrjö Häme, Eliezer Stavsky, Noah Lee, Brian Rossa, Martin Reuter, Elias Chaibub Neto, Anisha Keshavan, Dina Schneidman
2017 PLoS Computational Biology  
In this article, we document the software and demonstrate its use in studies of shape variation in healthy and diseased humans.  ...  We evaluate Mindboggle's algorithms using the largest set of manually labeled, publicly available brain images in the world and compare them against state-of-the-art algorithms where they exist.  ...  Arno Klein would like to thank Deepanjana and Ellora for their continued patience and support, and dedicates this project to his mother and father, Karen and Arnold Klein.  ... 
doi:10.1371/journal.pcbi.1005350 pmid:28231282 pmcid:PMC5322885 fatcat:lsqa2kigtzfivlkqzrnmkri37u
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