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- Publisher Website: 10.1196/annals.1340.005
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- PMID: 16394144
- WOS: WOS:000235430200001
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Conference Paper: Combining functional and diffusion tensor MRI
Title | Combining functional and diffusion tensor MRI |
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Authors | |
Keywords | Blood-oxygenation level dependent (BOLD) Cortical Diffusion tensor imaging (DTI) Functional magnetic resonance imaging (fMRI) Visual |
Issue Date | 2005 |
Publisher | Wiley-Blackwell Publishing, Inc. The Journal's web site is located at http://www.blackwellpublishing.com/journal.asp?ref=0077-8923&site=1 |
Citation | Annals Of The New York Academy Of Sciences, 2005, v. 1064, p. 1-15 How to Cite? |
Abstract | Functional magnetic resonance imaging (fMRI) of the perceptual, motor, and cognitive capacities in humans is of increasing importance for basic and clinical neurosciences. The explanatory power of current fMRI techniques could be greatly expanded, however, if the pattern of the neuronal connections between the active cortical areas could likewise be visualized. In this study, we acquired blood-oxygenation level dependent (BOLD) fMRI signals during the stimulation of subjects with a set of localizer stimuli for cortical visual areas. Subsequently, diffusion tensor imaging (DTI) data from the same subjects were obtained, and the activation areas identified through fMRI were utilized as seeding points for 3D DTI fiber reconstruction algorithms. The methods developed in this study have the potential to lay a foundation for in vivo neuroanatomy and the ability for noninvasive longitudinal studies of brain development. © 2005 New York Academy of Sciences. |
Persistent Identifier | http://hdl.handle.net/10722/152065 |
ISSN | 2023 Impact Factor: 4.1 2023 SCImago Journal Rankings: 1.416 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, DS | en_US |
dc.contributor.author | Kim, M | en_US |
dc.date.accessioned | 2012-06-26T06:34:31Z | - |
dc.date.available | 2012-06-26T06:34:31Z | - |
dc.date.issued | 2005 | en_US |
dc.identifier.citation | Annals Of The New York Academy Of Sciences, 2005, v. 1064, p. 1-15 | en_US |
dc.identifier.issn | 0077-8923 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/152065 | - |
dc.description.abstract | Functional magnetic resonance imaging (fMRI) of the perceptual, motor, and cognitive capacities in humans is of increasing importance for basic and clinical neurosciences. The explanatory power of current fMRI techniques could be greatly expanded, however, if the pattern of the neuronal connections between the active cortical areas could likewise be visualized. In this study, we acquired blood-oxygenation level dependent (BOLD) fMRI signals during the stimulation of subjects with a set of localizer stimuli for cortical visual areas. Subsequently, diffusion tensor imaging (DTI) data from the same subjects were obtained, and the activation areas identified through fMRI were utilized as seeding points for 3D DTI fiber reconstruction algorithms. The methods developed in this study have the potential to lay a foundation for in vivo neuroanatomy and the ability for noninvasive longitudinal studies of brain development. © 2005 New York Academy of Sciences. | en_US |
dc.language | eng | en_US |
dc.publisher | Wiley-Blackwell Publishing, Inc. The Journal's web site is located at http://www.blackwellpublishing.com/journal.asp?ref=0077-8923&site=1 | en_US |
dc.relation.ispartof | Annals of the New York Academy of Sciences | en_US |
dc.subject | Blood-oxygenation level dependent (BOLD) | - |
dc.subject | Cortical | - |
dc.subject | Diffusion tensor imaging (DTI) | - |
dc.subject | Functional magnetic resonance imaging (fMRI) | - |
dc.subject | Visual | - |
dc.subject.mesh | Algorithms | en_US |
dc.subject.mesh | Body Water - Physiology | en_US |
dc.subject.mesh | Brain Mapping - Instrumentation - Methods | en_US |
dc.subject.mesh | Cerebrovascular Circulation - Physiology | en_US |
dc.subject.mesh | Diffusion | en_US |
dc.subject.mesh | Diffusion Magnetic Resonance Imaging - Methods - Trends | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Image Processing, Computer-Assisted - Methods - Trends | en_US |
dc.subject.mesh | Imaging, Three-Dimensional | en_US |
dc.subject.mesh | Magnetic Resonance Imaging - Methods - Trends | en_US |
dc.subject.mesh | Nerve Fibers, Myelinated - Physiology | en_US |
dc.subject.mesh | Pattern Recognition, Visual - Physiology | en_US |
dc.subject.mesh | Photic Stimulation | en_US |
dc.subject.mesh | Visual Cortex - Anatomy & Histology - Physiology | en_US |
dc.subject.mesh | Visual Pathways - Anatomy & Histology - Physiology | en_US |
dc.subject.mesh | Visual Perception | en_US |
dc.title | Combining functional and diffusion tensor MRI | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Kim, M:minakim@hku.hk | en_US |
dc.identifier.authority | Kim, M=rp00292 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1196/annals.1340.005 | en_US |
dc.identifier.pmid | 16394144 | - |
dc.identifier.scopus | eid_2-s2.0-29744469753 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-29744469753&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 1064 | en_US |
dc.identifier.spage | 1 | en_US |
dc.identifier.epage | 15 | en_US |
dc.identifier.isi | WOS:000235430200001 | - |
dc.publisher.place | United States | en_US |
dc.identifier.f1000 | 1030793 | - |
dc.identifier.scopusauthorid | Kim, DS=26637469800 | en_US |
dc.identifier.scopusauthorid | Kim, M=8146283400 | en_US |
dc.identifier.citeulike | 4119616 | - |
dc.identifier.issnl | 0077-8923 | - |