Interpreting the BOLD signal.

By Nikos K. Logothetis, Brian A. Wandell. Annual Review of Physiology, 2004

1,629 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/5eb85430d08304bdd799e7b3b03658403eefd185

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Dissociable neural representations of future reward magnitude and delay during temporal discounting (2009, neutral): “While these findings suggest apparent similarities with the present results, one cannot necessarily infer that increased neural firing translates to an increase in the signal measured by FMRI (Logothetis and Wandell, 2004), and so mechanistic links will require additional modeling and experimental t”
Imaging retinotopic maps in the human brain (2010, background): “The neural mechanisms that give rise to BOLD remain under active investigation (Lauritzen, 2001; Logothetis, 2008; Logothetis & Wandell, 2004; Nir et al., 2007; Viswanathan & Freeman, 2007), but much progress has been made and certain general principles are established -such as the fact that the…”
Population receptive field estimates in human visual cortex (2008, methodology): “We model the HRF as a space–time invariant convolution kernel (Boynton et al., 1996; Logothetis and Wandell, 2004; Worsley et al., 2002) and we show that inexact characterization of the HRF temporal spread influences the absolute values of our pRF measurements, but not relative pRF measurements (App”
The neural systems that mediate human perceptual decision making (2008, background): “The fMRI BOLD signal is primarily driven by local cortical inputs and local processing (for example, inhibitory and excitatory postsynaptic potentials and Ca 2+ currents) and thus might reflect sub-threshold modulation of neural activity in a restricted region rather than the local spiking output (”
Regional blood flow in the normal and ischemic brain is controlled by arteriolar smooth muscle cell contractility and not by capillary pericytes (2015, neutral): “…not only for investigating the source of the signals obtained with fMRI blood-oxygen-level-dependent (BOLD) techniques (Attwell and Iadecola, 2002; Logothetis and Wandell, 2004; Raichle and Mintun, 2006) but also for elucidating the pathophysiology of many diseases involving the brain…”
The medial temporal lobe and recognition memory. (2007, background): “Thus, neural processing that originates in one region can be expected to activate closely connected neighboring regions, resulting in more extensive MRI signal changes (see Logothetis & Wandell 2004).”
Behavior, Sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation (2016, neutral): “Such structured integration is enabled by community-wide standards of spatial normalization (Amunts et al., 2014; Evans et al., 2012; Mazziotta et al., 2001) and the convention of reporting peak locations in stereotaxic reference spaces.”
Imitation, empathy, and mirror neurons. (2009, background): “In some cases, however , spiking activity and BOLD seem to dissociate (Logothetis & Wandell 2004), for instance when spiking responses show adaptation (that is, a reduced response to repeated stimuli) while BOLD does not (Goense & Logothetis 2008).”
Physiologically Inspired Model for the Visual Recognition of Transitive Hand Actions (2013, neutral): “…between neural activity at the single-cell level (spikes and local field potentials) and the BOLD signal measured in fMRI experiments is quite involved and dependent on the specific brain area (for review, see Logothetis, 2002, 2008; Logothetis and Wandell, 2004; Nir et al., 2007; Ekstrom, 2010).”
The precuneus: a review of its functional anatomy and behavioural correlates. (2006, background): “However, results from both fMRI and PET studies only indirectly reflect neural activity and these techniques suffer from several limitations (Raichle, 1998; Logothetis and Wandell, 2004).”
Neuroimaging and Inferential Distance (2008, background): “The correlation between neural activity and increased MR signal is empirically well-confirmed [14, 15, 16 ], but the quantitative relationship between changes in magnetic susceptibility and neural activity is not well understood.”
Are Neuroimages Like Photographs of the Brain? (2007, background): “For instance, it could reflect subthreshold activity, simultaneous excitation and inhibition (Tagamets and Horwitz 2001), or modulatory inputs from other areas (Logothetis 2003; Logothetis and Wandell 2004).”
Comparing hemodynamic models with DCM (2007, neutral): “For example, in fMRI, the relationship between neural activity and measured blood oxygen level dependent (BOLD) signals is complicated and not fully understood (Attwell and Iadecola, 2002; Lauritzen, 2004; Logothetis et al., 2001; Logothetis and Wandell, 2004 ).”
Reinforcement learning: the good, the bad and the ugly. (2008, neutral): “[25]) rather than the striatum or mid-”