| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2010-08-13 |
| タイトル |
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|
タイトル |
＜Symposium I＞Transient neural energetics by fMRI for brief and long stimuli |
| 言語 |
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言語 |
eng |
| キーワード |
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主題Scheme |
Other |
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主題 |
glia |
| キーワード |
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主題Scheme |
Other |
|
主題 |
glucose |
| キーワード |
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|
主題Scheme |
Other |
|
主題 |
glutamate |
| キーワード |
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主題Scheme |
Other |
|
主題 |
mitochondria |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
oxygen transport |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
signaling |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 著者 |
Herman, Peter
Sanganahalli, Basavaraju G.
Coman, Daniel
Blumenfeld, Hal
Hyder, Fahmeed
|
| 著者所属 |
|
|
値 |
Magnetic Resonance Research Center |
| 著者所属 |
|
|
値 |
Magnetic Resonance Research Center |
| 著者所属 |
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|
値 |
Magnetic Resonance Research Center |
| 著者所属 |
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|
値 |
Core Center for Quantitative Neuroscience with Magnetic Resonance |
| 著者所属 |
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|
値 |
Magnetic Resonance Research Center |
| 抄録 |
|
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内容記述タイプ |
Abstract |
|
内容記述 |
Neuronal activity mapping of cerebral functions using oxidative energetics has become an accepted functional magnetic resonance imaging （fMRI） technique, termed calibrated fMRI. It requires calculation of oxygen consumption （CMRO2） from blood oxygenation level dependent （BOLD） signal using multi-modal measurements of blood flow （CBF） and volume （CBV）. This approach is based on a biophysical model which describes tissue oxygen extraction at steady-state, therefore it is unclear if this conventional steady-state BOLD model can be applied transiently for calculating dynamic CMRO2 changes. In particular, it is unknown whether calculation of CMRO2 from calibrated fMRI differs between brief and long stimuli. In this study linearity was experimentally demonstrated between BOLD-related components and neural activity. We used multi-modal fMRI （at 11.7T） and neuronal signal measurements of local fi eld potential （LFP） and multi-unit activity （MUA） in α-chloralose anesthetized rats during forepaw stimulation to show that respective transfer functions （of BOLD, CBV, CBF） generated by deconvolution with LFP（ or MUA） are time invariant, for events in the millisecond to minute range. Since the transfer functions are time invariant for event-related and steady-state stimuli, it is possible to use calibrated fMRI in a dynamic manner. The multi-modal results allowed assignment of a significant component of the BOLD signal that can be ascribed to CMRO2 transients. Here we discuss the importance of minimizing residual signal, represented by the diff erence between modeled and raw signals, in convolution analysis using multi-modal fMRI and neural signals. |
| 引用 |
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内容記述タイプ |
Other |
|
内容記述 |
弘前医学. 61(Suppl.), 2010, p.S11-S22 |
| 書誌情報 |
弘前医学
巻 61,
号 Supplement,
p. S11-S22,
発行日 2010-07-08
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| ISSN |
|
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収録物識別子タイプ |
ISSN |
|
収録物識別子 |
0439-1721 |
| 書誌レコードID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AN00211444 |
| 著者版フラグ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 日本十進分類法 |
|
|
主題Scheme |
NDC |
|
主題 |
490 |
| NIIサブジェクト |
|
|
主題Scheme |
Other |
|
主題 |
医学 |
| 出版者 |
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|
出版者 |
弘前大学大学院医学研究科・弘前医学会 |
| 資源タイプ |
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|
値 |
Article |
HirosakiMedJ_61_S11.pdf (300.9 kB)
