The neural basis of functional brain imaging signals.

By David Attwell, C. Iadecola. Trends in Neurosciences, 2002

970 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/e4e0ae40aa379c9e8cbc1eb56bb615b236390e56

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In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Docosahexaenoic acid protects from dendritic pathology in an Alzheimer's disease mouse model. (2004, positive): “Additional postsynaptic vulnerability to aging and oxidative stress arises from high dendritic energy consumption (Attwell and Iadecola, 2002).”
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).”
Neurovascular coupling in the normal brain and in hypertension, stroke, and Alzheimer disease. (2006, background): “Lactate produced during brain activation could also be an important mediator of functional hyperemia by increasing H concentration and producing vasodilation (3).”
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.”
The role of spreading depression, spreading depolarization and spreading ischemia in neurological disease (2011, background): “Neurotransmitter and neuropeptide release during synaptic transmission are involved in the neurovascular respons”
A default mode of brain function: A brief history of an evolving idea (2007, background): “At the same time, behavioral scientists interested in relating their work to the brain are confronted by a rapidly increasing body of knowledge concerning the physiological correlates of functional neuroimaging signals (Logothetis et al., 2001; Attwell and Iadecola, 2002; Lauritzen, 2005).”
Reinforcement learning in the brain (2009, background): “For instance, because dopamine can directly affect the dilation and contraction of local blood vessels, it can affect BOLD measurements directly in brain areas in which extracellular concentration of dopamine is pronounced (Attwell & Iadecola, 2002; Krimer, Muly,Williams, & Goldman-Rakic, 1998).”
Alterations in the BOLD fMRI signal with ageing and disease: a challenge for neuroimaging (2003, background): “Recent research, however, implicates new mechanisms for this 'functional hyperaemia' or neurovascular couplin”
Does the brain have a baseline? Why we should be resisting a rest (2007, background): “More importantly, the regional BOLD signal may not depend on this overall regional energy consumption, but instead may be linked rather more directly to neuronal activity itself (Attwell and Iadecola, 2002).”
Optical brain imaging in vivo: techniques and applications from animal to man. (2007, background): “However, very little is understood about how and why these functional responses actually occur.(40,41,66) Understanding the origins and characteristics of these responses, and the interplay between neuronal and hemodynamic processes, is key to developing an improved picture of healthy and impaired b”
On the nature of the BOLD fMRI contrast mechanism. (2004, background): “An interesting alternative was recently proposed, that is, that the hemodynamic responses are probably driven by neurotransmitter-related signaling rather than the direct local energy needs of the brain [92].”
BRAIN FUEL METABOLISM, AGING AND ALZHEIMER’S DISEASE (2010, background): “Brain activation involves inhibitory and excitatory pathways, both of which consume energy, so examining the energy requirements of one type of neuron in isolation may give an incomplete picture of the intact brain [9,10].”
Brain activation during execution and motor imagery of novel and skilled sequential hand movements (2005, background): “Alternately, because the fMRI BOLD response reflects both inhibitory and excitatory influences (Attwell and Iadecola, 2002), image maps alone cannot reveal whether learning-related changes in activation reflect inhibitory or excitatory influences, making it difficult to interpret activation…”
Glial and neuronal control of brain blood flow (2010, positive): “The discovery that functional hyperaemia is driven largely by glutamate release indicates, instead, that fMRI mainly images the neurovascular signalling consequences of synaptic activit”