Neurophysiological investigation of the basis of the fMRI signal

By Nikos K. Logothetis, J. Pauls, Mark-Aurel Augath, T. Trinath, A. Oeltermann. Nature, 2001

6,610 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/6365c98fbfae5ec996b634831bff5ee3bf902a0d

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Identifying and Quantifying Multisensory Integration: A Tutorial Review (2014, methodology): “…the electrode tip (Mitzdorf 1987; Buzsaki and Draguhn 2004; Kajikawa and Schroeder 2011), relates well to the BOLD signal recorded in fMRI (Logothetis et al. 2001; Goense and Logothetis 2008), and has gained popularity as a candidate signal for neural prostheses because it is easier to…”
Glial and neuronal control of brain blood flow (2010, neutral): “Consistent with this, cortical BOLD signals correlate slightly better with field potentials reflecting stimulus-evoked synaptic currents than with stimulus-evoked action potential”
Competition among multiple memory systems: converging evidence from animal and human brain studies. (2003, background): “A correlation between fMRI signals and neural activity (specifically, local field potentials rather than spike activity) has recently been demonstrated [19], however, it is unclear how this finding can be extended to deactivations.”
Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey (2008, background): “Implications for the Relationship between fMRI and Single-Cell Data A single voxel in blood-oxygen-level-dependent fMRI reflects the activity of tens of thousands of neurons (Logothetis et al., 2001).”
Neurovascular regulation in the normal brain and in Alzheimer's disease (2004, background): “β-Amyloid-(1-42) is a major component of cerebrovascular amyloid deposits: implications for the pathology of Alzheimer disease.”
REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing (2011, background): “Many studies have suggested that the low frequency fluctuations found in RS-fMRI BOLD signals contain physiologically meaningful information and are closely related to spontaneous neuronal activities [1,3,35–37].”
Integration of fMRI and simultaneous EEG: towards a comprehensive understanding of localization and time-course of brain activity in target detection (2004, background): “For example, it is obviously worthwhile to further investigate the relationship between electrical oscillations and the fMRI signal, since close relationships have been described between the energy consuming high frequency oscillations in the gamma (40 Hz)-range, and the BOLD signal (Logothetis et a”
Imaging the developing brain: what have we learned about cognitive development? (2005, neutral): “measures changes in blood oxygenation in the brain that are assumed to ref lect changes in neural activity[ 55 ,56] ,a nd eliminates the need for exogenous contrast agents, including radioactive isotopes [57,58].”
Interactions between number and space in parietal cortex (2005, background): “This might be due to the lower resolution of fMRI, to species differences (for example, increased hand–eye coordination in humans) or to the fact that fMRI and single-unit physiology tap into different physiological mechanisms (that is, local field potential versus spikes”