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035   $a(CKB)3800000000216193
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/54482
035   $a(oapen)doab54482
035   $a(EXLCZ)993800000000216193
100   $a20202102d2016      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aNeural Signal Estimation in the Human Brain
210   $cFrontiers Media SA$d2016
215   $a1 online resource (142 p.)
225 1 $aFrontiers Research Topics
311 08$a2-88919-923-1 
330   $aThe ultimate goal of functional brain imaging is to provide optimal estimates of the neural signals flowing through the long-range and local pathways mediating all behavioral performance and conscious experience. In functional MRI (Magnetic Resonance Imaging), despite its impressive spatial resolution, this goal has been somewhat undermined by the fact that the fMRI response is essentially a blood-oxygenation level dependent (BOLD) signal that only indirectly reflects the nearby neural activity. The vast majority of fMRI studies restrict themselves to describing the details of these BOLD signals and deriving non-quantitative inferences about their implications for the underlying neural activity. This Frontiers Research Topic welcomed empirical and theoretical contributions that focus on the explicit relationship of non-invasive brain imaging signals to the causative neural activity. The articles presented within this resulting eBook aim to both highlight the importance and improve the non-invasive estimation of neural signals in the human brain. To achieve this aim, the following issues are targeted: (1) The spatial limitations of source localization when using MEG/EEG. (2) The coupling of the BOLD signal to neural activity. Articles discuss how animal studies are fundamental in increasing our understanding of BOLD fMRI signals, analyze how non-neuronal cell types may contribute to the modulation of cerebral blood flow, and use modeling to improve our understanding of how local field potentials are linked to the BOLD signal. (3) The contribution of excitatory and inhibitory neuronal activity to the BOLD signal. (4) Assessment of neural connectivity through the use of resting state data, computational modeling and functional Diffusion Tensor Imaging (fDTI) approaches.
606   $aNeurosciences$2bicssc
610   $aBOLD
610   $aconnectivity
610   $aDTI
610   $aEEG
610   $afunctional MRI
610   $ahuman brain
610   $aMEG
610   $aneural signal estimation
610   $aNeuroimaging
610   $aneurovascular
615  7$aNeurosciences
700   $aTyler$b Christopher W$4auth$01193232
702   $aLikova$b Lora T$4auth
702   $aHowarth$b Clare$4auth
906   $aBOOK
912   $a9910220058503321
996   $aNeural Signal Estimation in the Human Brain$93392749
997   $aUNINA