The Underpinnings of the BOLD Functional Magnetic Resonance Imaging Signal

By Nikos K. Logothetis. Journal of Neuroscience, 2003

1,093 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/80b5dc7af9a84a0f4cf93001ff5c31da5eacc3ba

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Illuminating the developing brain: the past, present and future of functional near infrared spectroscopy. (2010, background): “Though the BOLD contrast reflects stimulus-induced reductions in the concentration of deoxy-haemoglobin it is physiologically ambiguous due to the coupling of CBF, oxidative metabolism and cerebral blood volume (Logothetis, 2003).”
Identifying and Quantifying Multisensory Integration: A Tutorial Review (2014, background): “When results fit this equation, the experimental factor selectively influences process y, suggesting that processes x and y are independent.”
Motion-dependent representation of space in area MT+ (2013, neutral): “These single-unit electrophysiological results were obtained with moving stimuli, and there are obvious differences between the BOLD signal and single unit recordings (i.e., Logothetis, 2003).”
Reinforcement learning in the brain (2009, background): “…poorly understood, but are thought to be related to the overall dendritic synaptic activity within a volume of tissue), and thus reflects the input activity impinging on an area, rather than the (output) spiking activity of neurons within that area (Logothetis, 2003; Logothetis & Wandell, 2004).”
Semantic reconstruction of continuous language from non-invasive brain recordings (2022, neutral): “13) .”
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.”
Modeling the hemodynamic response to brain activation. (2004, neutral): “As written, these equations are linear, and the initial peak of the response would be balanced by a dip after the end of the stimulus, and such a post-undershoot of the neural response has been observed (Logothetis, 2003).”
Psychedelics (2016, methodology): “Logothetis (2003) initially applied linear systems analysis to examine the relationship of the BOLD fMRI signal to the different types of neural activities and found that the BOLD response “indisputably and directly reflects a local increase in neural activity assessed by the mean extracellular…”
Ventral striatal and medial prefrontal BOLD activation is correlated with reward-related electrocortical activity: A combined ERP and fMRI study (2011, background): “Importantly, this coherence is strongest for neuronal local field potentials compared to single cell spiking, indicating that, similar to EEG/ERP, BOLD fMRI is primarily reflective of regional neural activity (Logothetis, 2003).”
Progress Towards Biocompatible Intracortical Microelectrodes for Neural Interfacing Applications (2014, methodology): “The low frequency band (approximately 1–250 Hz) contains the so-called local field potentials (LFPs) and reflects synaptic activity and other subthreshold integrative processes [5].”
Coordinate-based ALE meta-analysis of neuroimaging data: A random-effects approach based on empirical estimates of spatial uncertainty (2009, methodology): “Neuroimaging using fMRI and PET is based on hemodynamic changes initiated by vasodilatory mediators released by cortical and subcortical grey matter under increased computational and metabolic demand [Buxton et al., 2004; Fox and Raichle, 1986; Logothetis, 2003].”
Gamma-band synchronization in the neocortex: novel analysis methods and their application to sensory and motivational systems (2013, background): “, Logothetis, N. K., & Tolias, A. S. (2010). Decorrelated neuronal firing in cortical microcircuits.”
Neural Correlates of Reach Errors (2005, positive): “Because the blood oxygenation leveldependent (BOLD) signal is likely driven to a large degree by presynaptic activity (Logothetis, 2003), these regions should show increased activity when execution errors occur.”