The neural basis of the blood-oxygen-level-dependent functional magnetic resonance imaging signal.

By Nikos K. Logothetis. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2002

1,005 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/1ebef5decf0c379370d94fc166d5a8301e419f58

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

The temporal structures and functional significance of scale-free brain activity (2010, positive): “However, as pointed out by several pioneers in the field (Bullock et al., 1995, 2003; Freeman and Zhai, 2009; Logothetis, 2002), arrhythmic brain activity also constitutes a significant, if not the major, part of EEG and LFP records, but much less is known about it.”
Neural correlates of high-gamma oscillations (60–200 Hz) in macaque local field potentials and their potential implications in electrocorticography (2008, background): “Indeed, frequencies greater than 300 Hz are probably dominated by the currents associated with action potentials (Logothetis, 2002).”
Deep brain stimulation can suppress pathological synchronisation in parkinsonian patients (2010, background): “10 12 The LFP is currently believed to mainly reflect slow subthreshold currents, primarily postsynaptic potentials, of a large local neuronal population(26) and is considered to reflect mainly the ‘input’ to the local network.(27) This interpretation is supported in the case of the b band LFP activ”
Neural basis of global resting-state fMRI activity (2010, background): “, fraction of explained variance) was just above 50% (49).”
Very slow activity fluctuations in monkey visual cortex: implications for functional brain imaging. (2003, neutral): “For example, recent results demonstrated that neural signals could not be accurately reconstructed from the BOLD signal when changes were faster than ∼0.21 Hz (Logothetis, 2002).”
Physiologically Inspired Model for the Visual Recognition of Transitive Hand Actions (2013, neutral): “…consistent with electro-physiological data showing view-dependent and view-independent shape-selective neurons, and an experience-dependent modulation of tuning properties of neurons in area IT (Kobatake et al., 1998; Sigala and Logothetis, 2002; Freedman et al., 2006; Suzuki and Tanaka, 2011).”
Biomarkers for Alzheimer's disease: academic, industry and regulatory perspectives (2010, neutral): “The blood oxygen-dependent level (BOLD) fMRI signal is primarily a measure of the input and processing of neuronal information within a brain regio”
Dissociating the Role of the Orbitofrontal Cortex and the Striatum in the Computation of Goal Values and Prediction Errors (2008, background): “With regard to regional specificity, it is important to note that we are using fMRI to measure changes in the BOLD signal, and this BOLD signal primarily reflects the input to and local processing within a brain region rather than the efferent signals from that region (Logothetis, 2002).”
Spike-phase coding boosts and stabilizes information carried by spatial and temporal spike patterns. (2009, neutral): “Such rhythmic activity is often characterized using local field potentials (LFPs), which provide an aggregate measure of local subthreshold integrative processes and network state changes (Juergens et al., 1999; Logothetis, 2002).”
The Underpinnings of the BOLD Functional Magnetic Resonance Imaging Signal (2003, methodology): “…was also used to quantitatively examine the relationship between the BOLD signal and neural activity by comparing human fMRI data with electrophysiological data in monkeys performing the same task (Heeger et al., 2000; Rees et al., 2000) (for review, see Heeger and Ress, 2002; Logothetis, 2002 ).”