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Human Connectome Project

January 01, 1970

The Human Connectome Project (HCP) is a five-year project sponsored by sixteen components of the National Institutes of Health, split between two consortia of research institutions. The project was launched in July 2009[1] as the first of three Grand Challenges of the NIH's Blueprint for Neuroscience Research.[2] On September 15, 2010, the NIH announced that it would award two grants: $30 million over five years to a consortium led by Washington University in St. Louis and the University of Minnesota, with strong contributions from University of Oxford (FMRIB) and $8.5 million over three years to a consortium led by Harvard University, Massachusetts General Hospital and the University of California Los Angeles.[3]

The goal of the Human Connectome Project is to build a "network map" (connectome) that will shed light on the anatomical and functional connectivity within the healthy human brain, as well as to produce a body of data that will facilitate research into brain disorders such as dyslexia, autism, Alzheimer's disease, and schizophrenia.[4][5]

WU-Minn-Oxford consortium edit

The WU-Minn-Oxford consortium developed improved MRI instrumentation, image acquisition and image analysis methods for mapping the connectivity in the human brain at spatial resolutions significantly better than previously available; using these methods, WU-Minn-Oxford consortium collected a large amount of MRI and behavioral data on 1,200 healthy adults — twin pairs and their siblings from 300 families - using a special 3 Tesla MRI instrument. In addition, it scanned 184 subjects from this pool at 7 Tesla, with higher spatial resolution. The data are being analyzed to show the anatomical and functional connections between parts of the brain for each individual, and will be related to behavioral test data. Comparing the connectomes and genetic data of genetically identical twins with fraternal twins will reveal the relative contributions of genes and environment in shaping brain circuitry and pinpoint relevant genetic variation. The maps will also shed light on how brain networks are organized.

Using a combination of non-invasive imaging technologies, including resting-state fMRI and task-based functional MRI, MEG and EEG, and diffusion MRI, the WU-Minn will be mapping connectomes at the macro scale — mapping large brain systems that can be divided into anatomically and functionally distinct areas, rather than mapping individual neurons.

Dozens of investigators and researchers from nine institutions have contributed to this project. Research institutions include: Washington University in St. Louis, the Center for Magnetic Resonance Research at the University of Minnesota, University of Oxford, Saint Louis University, Indiana University, D'Annunzio University of Chieti–Pescara, Ernst Strungmann Institute, Warwick University, Advanced MRI Technologies, and the University of California at Berkeley.[6]

The data that results from this research is being made publicly available in an open-source web-accessible neuroinformatics platform.[7][8]

MGH/Harvard-UCLA consortium edit

The MGH/Harvard-UCLA consortium will focus on optimizing MRI technology for imaging the brain's structural connections using diffusion MRI, with a goal of increasing spatial resolution, quality, and speed. Diffusion MRI, employed in both projects, maps the brain's fibrous long-distance connections by tracking the motion of water. Water diffusion patterns in different types of cells allow the detection of different types of tissues. Using this imaging method, the long extensions of neurons, called white matter, can be seen in sharp relief.[9][10]

The new scanner built at the MGH Martinos Center for this project is "4 to 8 times as powerful as conventional systems, enabling imaging of human neuroanatomy with greater sensitivity than was previously possible."[3] The scanner has a maximum gradient strength of 300 mT/m and a slew rate of 200 T/m/s, with b-values tested up to 20,000 s/mm^2. For comparison, a standard gradient coil is 45 mT/m.[11][12][13]

Behavioral testing and measurement edit

To understand the relationship between brain connectivity and behavior better, the Human Connectome Project will use a reliable and well-validated battery of measures that assess a wide range of human functions. The core of its battery is the tools and methods developed by the NIH Toolbox for Assessment of Neurological and Behavioral function.[14]

Research edit

The Human Connectome Project has grown into a large group of research teams. These teams make use of the style of brain scanning developed by the Project.[15] The studies usually include using large groups of participants, scanning many angles of participants' brains, and carefully documenting the location of the structures in each participant's brain.[16] Studies affiliated with the Human Connectome Project are currently cataloged by the Connectome Coordination Facility. The studies fall into three categories: Healthy Adult Connectomes, Lifespan Connectome Data, and Connectomes Related to Human Disease. Under each of these categories are research groups working on specific questions.

Healthy Adult Connectomes edit

[17] The Human Connectome Project Young Adult study made data on the brain connections of 1100 healthy young adults available to the scientific community.[18] Scientists have used data from the study to support theories about which areas of the brain communicate with one another.[19] For example, one study used data from the project to show that the amygdala, a part of the brain essential for emotional processing, is connected to the parts of the brain that receive information from the senses and plan movement.[20] Another study showed that healthy individuals who had a high tendency to experience anxious or depressed mood had fewer connections between the amygdala and a number of brain areas related to attention.

Lifespan Connectome Data edit

There are currently four research groups collecting data on connections in the brains of populations other than young adults. The purpose of these groups is to determine ordinary brain connectivity during infancy, childhood, adolescence, and aging. Scientists will use the data from these research groups in the same manner in which they have used data from the Human Connectome Project Young Adult study.[21]

Connectomes Related to Human Disease edit

Fourteen research groups investigate how connections in the brain change during the course of a particular disease. Four of the groups focus on Alzheimer's disease or dementia. Alzheimer's disease and dementia are diseases that begin during aging. Memory loss and cognitive impairment mark the progression of these diseases. While scientists consider Alzheimer's disease to be a disease with a specific cause, dementia actually describes symptoms which could be attributed to a number of causes. Two other research groups investigate how diseases that disrupt vision change connectivity in the brain. Another four of the research groups focus on anxiety disorders and major depressive disorder, psychological disorders that result in abnormal emotional regulation. Two more of the research groups focus on the effects of psychosis, a symptom of some psychological disorders in which an individual perceives reality differently than others do. One of the teams researches epilepsy, a disease characterized by seizures. Finally, one research team is documenting the brain connections of the Amish people, a religious and ethnic group that has high rates of some psychological disorders.[22]

Although theories have been put forth about the way brain connections change in the diseases under investigation, many of these theories have been supported by data from healthy populations.[20] For example, an analysis of the brains of healthy individuals supported the theory that individuals with anxiety disorders and depression have less connectivity between their emotional centers and the areas that govern attention. By collecting data specifically from individuals with these diseases, researchers hope to have a more certain idea of how brain connections in these individuals change over time.

Status edit

The project has yet to be officially declared complete.

Useful links edit

HCP wiki - Human Connectome Project wiki

ICA-FIX - Documentation on ICA-FIX algorithm used on resting state fMRI data[23][24][25]

See also edit

References edit

  1. ^ NIH Launches the Human Connectome Project to Unravel the Brain's Connections, National Institutes of Health, 2009-07-15, retrieved 2013-02-16
  2. ^ "The Human Connectome Project", NIH Blueprint for Neuroscience Research, National Institutes of Health, retrieved 2013-02-16
  3. ^ a b $40 million awarded to trace human brain's connections, National Institutes of Health, 2010-09-15, retrieved 2013-02-16, Souped-up scanners to reveal intricate circuitry in high resolution
  4. ^ Ghosh, Pallab; Van Wedeen, M.D. (2013-02-16). "Inside the brain's wiring" (video). Boston: BBC News Online. Retrieved 2013-02-16.
  5. ^ Geddes, Linda (2016). "Human brain mapped in unprecedented detail". Nature. doi:10.1038/nature.2016.20285. S2CID 89023120.
  6. ^ . NIMH. September 15, 2010. Archived from the original on January 10, 2012. Retrieved March 12, 2018.
  7. ^ "Connectome - Homepage".
  8. ^ "ConnectomeDB".
  9. ^ , Laboratory of Neuro Imaging, UCLA, archived from the original on 2012-03-05, retrieved 2013-02-16
  10. ^ Fan, Qiuyun; Witzel, Thomas; Nummenmaa, Aapo; Van Dijk, Koene R. A.; Van Horn, John D.; Drews, Michelle K.; Somerville, Leah H.; Sheridan, Margaret A.; Santillana, Rosario M. (2016-01-01). "MGH-USC Human Connectome Project datasets with ultra-high b-value diffusion MRI". NeuroImage. 124 (Pt B): 1108–1114. doi:10.1016/j.neuroimage.2015.08.075. ISSN 1095-9572. PMC 4651764. PMID 26364861.
  11. ^ Improving SNR in high b-value diffusion imaging using Gmax = 300 mT/m human gradients, Proc. Intl. Soc. Mag. Reson. Med. 20 (2012) 2738
  12. ^ "About the Center". 22 March 2019.
  13. ^ Fan, Qiuyun; Nummenmaa, Aapo; Witzel, Thomas; Zanzonico, Roberta; Keil, Boris; Cauley, Stephen; Polimeni, Jonathan R.; Tisdall, Dylan; Van Dijk, Koene R. A. (2014-11-21). "Investigating the capability to resolve complex white matter structures with high b-value diffusion magnetic resonance imaging on the MGH-USC Connectom scanner". Brain Connectivity. 4 (9): 718–726. doi:10.1089/brain.2014.0305. ISSN 2158-0022. PMC 4238244. PMID 25287963.
  14. ^ "Components of the Human Connectome Project - Behavioral Testing - Connectome". humanconnectome.org. Retrieved 2013-03-08.
  15. ^ Glasser, Matthew F; Smith, Stephen M; Marcus, Daniel S; Andersson, Jesper L R; Auerbach, Edward J; Behrens, Timothy E J; Coalson, Timothy S; Harms, Michael P; Jenkinson, Mark; Moeller, Steen; Robinson, Emma C; Sotiropoulos, Stamatios N; Xu, Junqian; Yacoub, Essa; Ugurbil, Kamil; Van Essen, David C (2016). "The Human Connectome Project's neuroimaging approach". Nature Neuroscience. 19 (9): 1175–87. doi:10.1038/nn.4361. PMC 6172654. PMID 27571196.
  16. ^ UpAndRunning. "Connectome - Homepage". www.humanconnectome.org. Retrieved 2017-11-28.
  17. ^ UpAndRunning. "HCP Young Adult - Connectome - Publications". www.humanconnectome.org. Retrieved 2017-11-29.
  18. ^ . Archived from the original on 2017-05-07. Retrieved 2016-03-03.
  19. ^ Toschi, Nicola; Duggento, Andrea; Passamonti, Luca (2017). "Functional connectivity in amygdalar-sensory/(pre)motor networks at rest: New evidence from the Human Connectome Project". European Journal of Neuroscience. 45 (9): 1224–1229. doi:10.1111/ejn.13544. PMID 28231395.
  20. ^ a b De Witte, Nele A. J; Mueller, Sven C (2016). "White matter integrity in brain networks relevant to anxiety and depression: Evidence from the human connectome project dataset". Brain Imaging and Behavior. 11 (6): 1604–1615. doi:10.1007/s11682-016-9642-2. hdl:1854/LU-8163582. PMID 27744495. S2CID 21758303.
  21. ^ UpAndRunning. "Connectome - HCP Lifespan Studies". www.humanconnectome.org. Retrieved 2017-12-13.
  22. ^ UpAndRunning. "Connectome - Human Connectome Studies Related To Disease". www.humanconnectome.org. Retrieved 2017-12-13.
  23. ^ Smith, Stephen M; Beckmann, Christian F; Andersson, Jesper; Auerbach, Edward J; Bijsterbosch, Janine; Douaud, Gwenaëlle; Duff, Eugene; Feinberg, David A; Griffanti, Ludovica; Harms, Michael P; Kelly, Michael; Laumann, Timothy; Miller, Karla L; Moeller, Steen; Petersen, Steve; Power, Jonathan; Salimi-Khorshidi, Gholamreza; Snyder, Abraham Z; Vu, An T; Woolrich, Mark W; Xu, Junqian; Yacoub, Essa; Uğurbil, Kamil; Van Essen, David C; Glasser, Matthew F (2013). "Resting-state fMRI in the Human Connectome Project". NeuroImage. 80: 144–68. doi:10.1016/j.neuroimage.2013.05.039. PMC 3720828. PMID 23702415.
  24. ^ Griffanti, Ludovica; Douaud, Gwenaëlle; Bijsterbosch, Janine; Evangelisti, Stefania; Alfaro-Almagro, Fidel; Glasser, Matthew F; Duff, Eugene P; Fitzgibbon, Sean; Westphal, Robert; Carone, Davide; Beckmann, Christian F; Smith, Stephen M (2017). "Hand classification of fMRI ICA noise components". NeuroImage. 154: 188–205. doi:10.1016/j.neuroimage.2016.12.036. PMC 5489418. PMID 27989777.
  25. ^ Salimi-Khorshidi, Gholamreza; Douaud, Gwenaëlle; Beckmann, Christian F; Glasser, Matthew F; Griffanti, Ludovica; Smith, Stephen M (2014). "Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers". NeuroImage. 90: 449–68. doi:10.1016/j.neuroimage.2013.11.046. PMC 4019210. PMID 24389422.

External links edit

Related Connectome Projects
Press releases
News reports
  • Mitra, Partha (2012-05-22), The Brain's Highways: Mapping the Last Frontier, Scientific American, retrieved 2013-02-16, Are neurons organized like roads?
  • Dillow, Clay (2010-09-16), The Human Connectome Project Is a First-of-its-Kind Map of the Brain's Circuitry, Popular Science, retrieved 2013-02-16
  • $30 million project will map the brain's wiring, The Medical Daily, 2010-09-16, retrieved 2013-02-16
  • Gustin, Georgina (2010-10-08), Brain mapping study centered in St. Louis, St. Louis Post-Dispatch, retrieved 2013-02-16

January 01, 1970
human, connectome, project, this, article, needs, updated, please, help, update, this, article, reflect, recent, events, newly, available, information, june, 2023, five, year, project, sponsored, sixteen, components, national, institutes, health, split, betwee. This article needs to be updated Please help update this article to reflect recent events or newly available information June 2023 The Human Connectome Project HCP is a five year project sponsored by sixteen components of the National Institutes of Health split between two consortia of research institutions The project was launched in July 2009 1 as the first of three Grand Challenges of the NIH s Blueprint for Neuroscience Research 2 On September 15 2010 the NIH announced that it would award two grants 30 million over five years to a consortium led by Washington University in St Louis and the University of Minnesota with strong contributions from University of Oxford FMRIB and 8 5 million over three years to a consortium led by Harvard University Massachusetts General Hospital and the University of California Los Angeles 3 The goal of the Human Connectome Project is to build a network map connectome that will shed light on the anatomical and functional connectivity within the healthy human brain as well as to produce a body of data that will facilitate research into brain disorders such as dyslexia autism Alzheimer s disease and schizophrenia 4 5 Contents 1 WU Minn Oxford consortium 2 MGH Harvard UCLA consortium 3 Behavioral testing and measurement 4 Research 4 1 Healthy Adult Connectomes 4 2 Lifespan Connectome Data 4 3 Connectomes Related to Human Disease 5 Status 6 Useful links 7 See also 8 References 9 External linksWU Minn Oxford consortium editThe WU Minn Oxford consortium developed improved MRI instrumentation image acquisition and image analysis methods for mapping the connectivity in the human brain at spatial resolutions significantly better than previously available using these methods WU Minn Oxford consortium collected a large amount of MRI and behavioral data on 1 200 healthy adults twin pairs and their siblings from 300 families using a special 3 Tesla MRI instrument In addition it scanned 184 subjects from this pool at 7 Tesla with higher spatial resolution The data are being analyzed to show the anatomical and functional connections between parts of the brain for each individual and will be related to behavioral test data Comparing the connectomes and genetic data of genetically identical twins with fraternal twins will reveal the relative contributions of genes and environment in shaping brain circuitry and pinpoint relevant genetic variation The maps will also shed light on how brain networks are organized Using a combination of non invasive imaging technologies including resting state fMRI and task based functional MRI MEG and EEG and diffusion MRI the WU Minn will be mapping connectomes at the macro scale mapping large brain systems that can be divided into anatomically and functionally distinct areas rather than mapping individual neurons Dozens of investigators and researchers from nine institutions have contributed to this project Research institutions include Washington University in St Louis the Center for Magnetic Resonance Research at the University of Minnesota University of Oxford Saint Louis University Indiana University D Annunzio University of Chieti Pescara Ernst Strungmann Institute Warwick University Advanced MRI Technologies and the University of California at Berkeley 6 The data that results from this research is being made publicly available in an open source web accessible neuroinformatics platform 7 8 MGH Harvard UCLA consortium editThe MGH Harvard UCLA consortium will focus on optimizing MRI technology for imaging the brain s structural connections using diffusion MRI with a goal of increasing spatial resolution quality and speed Diffusion MRI employed in both projects maps the brain s fibrous long distance connections by tracking the motion of water Water diffusion patterns in different types of cells allow the detection of different types of tissues Using this imaging method the long extensions of neurons called white matter can be seen in sharp relief 9 10 The new scanner built at the MGH Martinos Center for this project is 4 to 8 times as powerful as conventional systems enabling imaging of human neuroanatomy with greater sensitivity than was previously possible 3 The scanner has a maximum gradient strength of 300 mT m and a slew rate of 200 T m s with b values tested up to 20 000 s mm 2 For comparison a standard gradient coil is 45 mT m 11 12 13 Behavioral testing and measurement editTo understand the relationship between brain connectivity and behavior better the Human Connectome Project will use a reliable and well validated battery of measures that assess a wide range of human functions The core of its battery is the tools and methods developed by the NIH Toolbox for Assessment of Neurological and Behavioral function 14 Research editThe Human Connectome Project has grown into a large group of research teams These teams make use of the style of brain scanning developed by the Project 15 The studies usually include using large groups of participants scanning many angles of participants brains and carefully documenting the location of the structures in each participant s brain 16 Studies affiliated with the Human Connectome Project are currently cataloged by the Connectome Coordination Facility The studies fall into three categories Healthy Adult Connectomes Lifespan Connectome Data and Connectomes Related to Human Disease Under each of these categories are research groups working on specific questions Healthy Adult Connectomes edit 17 The Human Connectome Project Young Adult study made data on the brain connections of 1100 healthy young adults available to the scientific community 18 Scientists have used data from the study to support theories about which areas of the brain communicate with one another 19 For example one study used data from the project to show that the amygdala a part of the brain essential for emotional processing is connected to the parts of the brain that receive information from the senses and plan movement 20 Another study showed that healthy individuals who had a high tendency to experience anxious or depressed mood had fewer connections between the amygdala and a number of brain areas related to attention Lifespan Connectome Data edit There are currently four research groups collecting data on connections in the brains of populations other than young adults The purpose of these groups is to determine ordinary brain connectivity during infancy childhood adolescence and aging Scientists will use the data from these research groups in the same manner in which they have used data from the Human Connectome Project Young Adult study 21 Connectomes Related to Human Disease edit Fourteen research groups investigate how connections in the brain change during the course of a particular disease Four of the groups focus on Alzheimer s disease or dementia Alzheimer s disease and dementia are diseases that begin during aging Memory loss and cognitive impairment mark the progression of these diseases While scientists consider Alzheimer s disease to be a disease with a specific cause dementia actually describes symptoms which could be attributed to a number of causes Two other research groups investigate how diseases that disrupt vision change connectivity in the brain Another four of the research groups focus on anxiety disorders and major depressive disorder psychological disorders that result in abnormal emotional regulation Two more of the research groups focus on the effects of psychosis a symptom of some psychological disorders in which an individual perceives reality differently than others do One of the teams researches epilepsy a disease characterized by seizures Finally one research team is documenting the brain connections of the Amish people a religious and ethnic group that has high rates of some psychological disorders 22 Although theories have been put forth about the way brain connections change in the diseases under investigation many of these theories have been supported by data from healthy populations 20 For example an analysis of the brains of healthy individuals supported the theory that individuals with anxiety disorders and depression have less connectivity between their emotional centers and the areas that govern attention By collecting data specifically from individuals with these diseases researchers hope to have a more certain idea of how brain connections in these individuals change over time Status editThe project has yet to be officially declared complete Useful links editHCP wiki Human Connectome Project wikiICA FIX Documentation on ICA FIX algorithm used on resting state fMRI data 23 24 25 See also editConnectome How the Brain s Wiring Makes Us Who We Are Connectomics Connectogram Human Brain Project Outline of brain mapping Outline of the human brainReferences edit NIH Launches the Human Connectome Project to Unravel the Brain s Connections National Institutes of Health 2009 07 15 retrieved 2013 02 16 The Human Connectome Project NIH Blueprint for Neuroscience Research National Institutes of Health retrieved 2013 02 16 a b 40 million awarded to trace human brain s connections National Institutes of Health 2010 09 15 retrieved 2013 02 16 Souped up scanners to reveal intricate circuitry in high resolution Ghosh Pallab Van Wedeen M D 2013 02 16 Inside the brain s wiring video Boston BBC News Online Retrieved 2013 02 16 Geddes Linda 2016 Human brain mapped in unprecedented detail Nature doi 10 1038 nature 2016 20285 S2CID 89023120 40 Million Awarded to Trace Human Brain s Connections NIMH September 15 2010 Archived from the original on January 10 2012 Retrieved March 12 2018 Connectome Homepage ConnectomeDB Sample diffusion MRI image of brain Laboratory of Neuro Imaging UCLA archived from the original on 2012 03 05 retrieved 2013 02 16 Fan Qiuyun Witzel Thomas Nummenmaa Aapo Van Dijk Koene R A Van Horn John D Drews Michelle K Somerville Leah H Sheridan Margaret A Santillana Rosario M 2016 01 01 MGH USC Human Connectome Project datasets with ultra high b value diffusion MRI NeuroImage 124 Pt B 1108 1114 doi 10 1016 j neuroimage 2015 08 075 ISSN 1095 9572 PMC 4651764 PMID 26364861 Improving SNR in high b value diffusion imaging using Gmax 300 mT m human gradients Proc Intl Soc Mag Reson Med 20 2012 2738 About the Center 22 March 2019 Fan Qiuyun Nummenmaa Aapo Witzel Thomas Zanzonico Roberta Keil Boris Cauley Stephen Polimeni Jonathan R Tisdall Dylan Van Dijk Koene R A 2014 11 21 Investigating the capability to resolve complex white matter structures with high b value diffusion magnetic resonance imaging on the MGH USC Connectom scanner Brain Connectivity 4 9 718 726 doi 10 1089 brain 2014 0305 ISSN 2158 0022 PMC 4238244 PMID 25287963 Components of the Human Connectome Project Behavioral Testing Connectome humanconnectome org Retrieved 2013 03 08 Glasser Matthew F Smith Stephen M Marcus Daniel S Andersson Jesper L R Auerbach Edward J Behrens Timothy E J Coalson Timothy S Harms Michael P Jenkinson Mark Moeller Steen Robinson Emma C Sotiropoulos Stamatios N Xu Junqian Yacoub Essa Ugurbil Kamil Van Essen David C 2016 The Human Connectome Project s neuroimaging approach Nature Neuroscience 19 9 1175 87 doi 10 1038 nn 4361 PMC 6172654 PMID 27571196 UpAndRunning Connectome Homepage www humanconnectome org Retrieved 2017 11 28 UpAndRunning HCP Young Adult Connectome Publications www humanconnectome org Retrieved 2017 11 29 Publications Human Connectome Project Archived from the original on 2017 05 07 Retrieved 2016 03 03 Toschi Nicola Duggento Andrea Passamonti Luca 2017 Functional connectivity in amygdalar sensory pre motor networks at rest New evidence from the Human Connectome Project European Journal of Neuroscience 45 9 1224 1229 doi 10 1111 ejn 13544 PMID 28231395 a b De Witte Nele A J Mueller Sven C 2016 White matter integrity in brain networks relevant to anxiety and depression Evidence from the human connectome project dataset Brain Imaging and Behavior 11 6 1604 1615 doi 10 1007 s11682 016 9642 2 hdl 1854 LU 8163582 PMID 27744495 S2CID 21758303 UpAndRunning Connectome HCP Lifespan Studies www humanconnectome org Retrieved 2017 12 13 UpAndRunning Connectome Human Connectome Studies Related To Disease www humanconnectome org Retrieved 2017 12 13 Smith Stephen M Beckmann Christian F Andersson Jesper Auerbach Edward J Bijsterbosch Janine Douaud Gwenaelle Duff Eugene Feinberg David A Griffanti Ludovica Harms Michael P Kelly Michael Laumann Timothy Miller Karla L Moeller Steen Petersen Steve Power Jonathan Salimi Khorshidi Gholamreza Snyder Abraham Z Vu An T Woolrich Mark W Xu Junqian Yacoub Essa Ugurbil Kamil Van Essen David C Glasser Matthew F 2013 Resting state fMRI in the Human Connectome Project NeuroImage 80 144 68 doi 10 1016 j neuroimage 2013 05 039 PMC 3720828 PMID 23702415 Griffanti Ludovica Douaud Gwenaelle Bijsterbosch Janine Evangelisti Stefania Alfaro Almagro Fidel Glasser Matthew F Duff Eugene P Fitzgibbon Sean Westphal Robert Carone Davide Beckmann Christian F Smith Stephen M 2017 Hand classification of fMRI ICA noise components NeuroImage 154 188 205 doi 10 1016 j neuroimage 2016 12 036 PMC 5489418 PMID 27989777 Salimi Khorshidi Gholamreza Douaud Gwenaelle Beckmann Christian F Glasser Matthew F Griffanti Ludovica Smith Stephen M 2014 Automatic denoising of functional MRI data Combining independent component analysis and hierarchical fusion of classifiers NeuroImage 90 449 68 doi 10 1016 j neuroimage 2013 11 046 PMC 4019210 PMID 24389422 External links editOfficial website of the Human Connectome Project Home of the Harvard MGH UCLA consortium Human Connectome Project The Human Connectome Project NIH Blueprint St Louis Missouri Washington University School of Medicine retrieved 2013 02 16 The Human Connectome Project Neuroinformatics Research Group St Louis Missouri Washington University School of Medicine retrieved 2013 02 16 The Human Connectome Project NIH Blueprint for Neuroscience Research The NITRC Human Connectome Project HCP at Neuroimaging Informatics Tools and Resources Clearinghouse NITRC Related Connectome Projects The umbrella site for all Human Connectome Project work funded by the NIH Open Connectome Project on line game tracing neurons in the retina EyeWire a project developed by MIT and the Max Planck Institute for Medical Research developing Human Connectome Project The developing Human Connectome Project a project led by King s College London Imperial College London and University of Oxford aims to make major scientific progress by creating the first 4 dimensional connectome of early life Press releases Purdy Michael 2010 09 15 30 million project will map the brain s wiring Press release St Louis Missouri Washington University School of Medicine Retrieved 2012 02 16 Asher Jules 2012 03 29 Brain wiring a no brainer Press release National Institutes of Health Retrieved 2013 02 16 Scans reveal astonishingly simple 3D grid structure NIH funded study News reports Mitra Partha 2012 05 22 The Brain s Highways Mapping the Last Frontier Scientific American retrieved 2013 02 16 Are neurons organized like roads Dillow Clay 2010 09 16 The Human Connectome Project Is a First of its Kind Map of the Brain s Circuitry Popular Science retrieved 2013 02 16 30 million project will map the brain s wiring The Medical Daily 2010 09 16 retrieved 2013 02 16 Gustin Georgina 2010 10 08 Brain mapping study centered in St Louis St Louis Post Dispatch retrieved 2013 02 16 Retrieved from https en wikipedia org w index php title Human Connectome Project amp oldid 1215672226, wikipedia, wiki, book, books, library,

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