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MRI in Glioma Immunotherapy: Evidence, Pitfalls, and Perspectives

Domenico Aquino, Andrea Gioppo, Gaetano Finocchiaro, Maria Grazia Bruzzone, Valeria Cuccarini
2017 Journal of Immunology Research  
Pseudophenomena, that is, imaging alterations due to therapy rather than tumor evolution, have an important impact on the management of glioma patients and the results of clinical trials.  ...  Here, we discuss the potential contribution of different aMRI techniques and their indications and pitfalls in relation to biological and imaging features of glioma and immune system interactions.  ...  Authors' Contributions All authors have contributed to the work, concurred with the submission of the paper, and agreed with its content.  ... 
doi:10.1155/2017/5813951 pmid:28512646 pmcid:PMC5415864 fatcat:p6yb4tjcwvdflornpvwpuxum4e

Brain network analyses in clinical neuroscience

Arseny A. Sokolov, Cristina Granziera, Elda Fischi-Gomez, Maria Giulia Preti, Philippe Ryvlin, Dimitri Van De Ville, Karl J. Friston
2019 Swiss Archives of Neurology, Psychiatry and Psychotherapy  
ringing and eddy current artifact's correction over the diffusion weighted imaging data; B) Diffusion weighted images reconstruction: The simplest reconstruction model is the diffusion tensor imaging  ...  over the reconstructed diffusion data; E) Weights estimation and matrix construction: The ratio between the sum of all virtual streamlines connecting each pair of regions of interest and their individual  ...  magnetic resonance imaging (dMRI) data ( fig. 2) .  ... 
doi:10.4414/sanp.2019.03074 fatcat:6xdn3ey6xrfzpb3w74naeewj4y

Molecular Brain Imaging in the Multimodality Era

Julie C Price
2012 Journal of Cerebral Blood Flow and Metabolism  
The author thanks all those who commented on this work including W Bi, Y Chen, and Dr J Mountz, and to C Matan for help with the figures.  ...  Lastly, the participation of research study volunteers and their families is gratefully acknowledged. Disclosure/conflict of interest The author declares no conflict of interest.  ...  Human Imaging: Structural Magnetic Resonance Imaging, Functional Magnetic Resonance Imaging, and Molecular Positron Emission Tomography Imaging in Alzheimer's Disease Structural Magnetic Resonance: Atrophy  ... 
doi:10.1038/jcbfm.2012.29 pmid:22434068 pmcid:PMC3390805 fatcat:jrf7q4qftfehfauuwabgsz43v4

Challenges and limitations of quantifying brain connectivityin vivowith diffusion MRI

Derek K Jones
2010 Imaging in Medicine  
pERSpECTIVE Challenges and limitations of quantifying brain connectivity in vivo with diffusion MRI of diffusion MRI and fiber tracking is given and the early applications of diffusion MRI to study connectivity  ...  A close and critical inspection is then made of the limitations inherent in these different approaches, challenging the notion that it is possible to quantify brain connectivity in vivo with diffusion  ...  The author wishes to thank Richard Wise for proofreading the manuscript and to the anonymous reviewers for their helpful comments.  ... 
doi:10.2217/iim.10.21 fatcat:hjfoxhms4rautkiws5hxol634a

Tractography in the Study of the Human Brain: A Neurosurgical Perspective

David Fortin, Camille Aubin-Lemay, Arnaud Boré, Gabriel Girard, Jean-Christophe Houde, Kevin Whittingstall, Maxime Descoteaux
2012 Canadian Journal of Neurological Sciences  
Complex neurocognitive functions are not attributed to a single brain area but depend on the dynamic interactions of distributed brain areas operating in large-scale networks.  ...  weighted data and high-resolution T1-weighted images were acquired from a healthy right-handed volunteer (25 years old) on a whole-body 3 T scanner.  ...  One such tool is diffusion Magnetic Resonance Imaging (dMRI) 10, 11 , allowing the study of white matter tracts, using a paradigm known as diffusion tensor imaging (DTI) and tractography 10, 11 .  ... 
doi:10.1017/s0317167100015560 fatcat:m5lzfkgilbggtnhq3gzzpc7q5q

Connectome Networks: From Cells to Systems [chapter]

Olaf Sporns
2016 Micro-, Meso- and Macro-Connectomics of the Brain  
Nervous systems are networks of neurons and brain regions that are structurally interconnected and dynamically linked in complex patterns. As map-  ...  any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.  ...  The images or other third party material in this chapter are included in the work's Creative Commons license, unless indicated otherwise in the credit line; if such material is not included in the work's  ... 
doi:10.1007/978-3-319-27777-6_8 fatcat:ge3asgosr5gl5m7l2nxha2gc2u

Advanced Neuroimaging in Traumatic Brain Injury

Ona Wu, Brian Edlow
2013 Seminars in neurology  
Several of these advanced imaging modalities are currently being implemented into clinical practice, whereas others require further development and validation.  ...  with traumatic brain injury (TBI), while also providing biomarkers to guide the development of new therapies.  ...  Acknowledgments This work was supported by the National Institutes of Health (R25NS065743 and P41RR14075) and the Center for Integration of Medicine & Innovative Technology (Boston, MA).  ... 
doi:10.1055/s-0032-1331810 pmid:23361483 pmcid:PMC3779469 fatcat:ecxuxhf3obefngigwjg6ebjrd4

MRI of the Neonatal Brain: A Review of Methodological Challenges and Neuroscientific Advances

Jessica Dubois, Marianne Alison, Serena J. Counsell, Hertz‐Pannier Lucie, Petra S. Hüppi, Manon J.N.L. Benders
2020 Journal of Magnetic Resonance Imaging  
The use of age-specific image postprocessing tools is also essential, as signal and contrast differ from the adult brain.  ...  brain morphology, structural connectivity, microstructural properties of gray and white matter, and on the functional architecture.  ...  Acknowledgments The authors thank J. Sa de Almeida for comments on the article.  ... 
doi:10.1002/jmri.27192 pmid:32420684 fatcat:ttakecloanaupet2ej7uk5nzxi

Complex network theory and the brain

D. Papo, J. M. Buldu, S. Boccaletti, E. T. Bullmore
2014 Philosophical Transactions of the Royal Society of London. Biological Sciences  
However, there is a more tractable opportunity to map the large-scale network organization of the human brain at the macroscopic scale provided by neuroimaging techniques such as magnetic resonance imaging  ...  At a microscopic scale, we know that drawing a complete network diagram of the human brain would be a task of currently unmanageable scale and technical difficulty.  ... 
doi:10.1098/rstb.2013.0520 pmid:25180300 pmcid:PMC4150297 fatcat:cdmgppxmsnflraujm6lglgoqtq

Brain-Machine-Brain Interface [chapter]

2015 Encyclopedia of Computational Neuroscience  
This deficiency limits the utility of current BMI (Karl Frank, 1968) viii Contents Abstract iv List of Tables xiv List of Figures xv List of Abbreviations and Symbols xviii I was fortunate to have excellent  ...  role models, colleagues, and friends in my fellow xx graduate students and post-docs in the lab.  ...  I thank Craig for his enthusiastic support of my research interests over the years, despite the convoluted and lengthy trajectories that they have taken.  ... 
doi:10.1007/978-1-4614-6675-8_100084 fatcat:iwcjbsuttfbhhmocitc5ebalby

Cortical surface modeling reveals gross morphometric correlates of individual differences

William C. Loftus, Mark Jude Tramo, Michael S. Gazzaniga
1995 Human Brain Mapping  
Advances in human neurobiology are now made possible through methods which combine structural magnetic resonance imaging (MRI), three-dimensional reconstruction, and statistical analysis.  ...  MRI-based reconstruction enables the in vivo quantification of regional cortical surface area (rCSA) while inter-group comparisons uncover relationships of cortical morphometry with genotype, sex, and  ...  ACKNOWLEDGMENTS Aided by ONR N00014-89-J-3035, NIH/NINDS PO1 NS17778-10, the McDonnell-Pew Foundation, and NIH/NIDCD KO8 DC00071.  ... 
doi:10.1002/hbm.460030402 fatcat:vru4zn7bwvhk7m43r3udgmcase

Local structure-function relationships in human brain networks across the human lifespan [article]

Farnaz Zamani Esfahlani, Joshua Faskowitz, Jonah Slack, Bratislav Misic, Richard Betzel
2021 bioRxiv   pre-print
The human connectome is the set of physical pathways linking brain regions to one another.  ...  Empirical and in silico studies have demonstrated that the structure of this network helps shape patterns of functional coupling between brain regions.  ...  ACKNOWLEDGMENTS This material is based upon work supported by the National Science Foundation under Grant No. 076059-00003C (RFB; FZE).  ... 
doi:10.1101/2021.05.23.445128 fatcat:pok3snrpf5bvloxrkle7id6lce

MRI and M/EEG studies of the White Matter Development in Human Fetuses and Infants: Review and Opinion

Jessica Dubois, Parvaneh Adibpour, Cyril Poupon, Lucie Hertz-Pannier, Ghislaine Dehaene-Lambertz, Bernard Zalc
2016 Brain Plasticity  
Only the recent use of non-invasive techniques such as magnetic resonance imaging (MRI) and magneto-and electroencephalography (M/EEG) has opened the possibility to understand the relationships between  ...  and perinatal interventions on later outcome.  ...  Before the booming of brain imaging techniques, our knowledge on human brain development relied on post-mortem investigations, which are intrinsically limited by the lack of anatomo-functional correlations  ... 
doi:10.3233/bpl-160031 pmid:29765848 pmcid:PMC5928537 fatcat:6if7kwm3ejc5riwqzh7bjzgtgi

Towards an MRI-based mesoscale connectome of the squid brain

Wen-Sung Chung, Nyoman D. Kurniawan, N. Justin Marshall
2020 iScience  
Using high-resolution diffusion magnetic resonance imaging (dMRI) and a suite of old and new staining techniques, the beginnings of a multi-scale connectome map of the squid brain is erected.  ...  These and other features suggest a suite of functional attributes, including (1) retinotopic organization through the optic lobes and into other brain areas well beyond that previously recognized, (2)  ...  and magnetic resonance imaging of the squid brain (Chung and Marshall, 2017) .  ... 
doi:10.1016/j.isci.2019.100816 pmid:31972515 pmcid:PMC6974791 fatcat:ii4xqpup5nff3nrjncy7evpuzm

The hidden control architecture of complex brain networks

Byeongwook Lee, Uiryong Kang, Hongjun Chang, Kwang-Hyun Cho
2019 iScience  
The brain controls various cognitive functions in a robust and efficient way. What is the control architecture of brain networks that enables such robust and optimal control?  ...  Here, we developed a framework to delineate a control architecture of a complex network that is compatible with the behavior of the network and applied the framework to structural brain networks and other  ...  This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Korea Government, the Ministry of Science, and ICT (2017R1A2A1A17069642 and 2015M3A9A7067220).  ... 
doi:10.1016/j.isci.2019.02.017 pmid:30844695 pmcid:PMC6402303 fatcat:qsbhddvvqrhpjdq5hilztwup44
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