Functional energetic responses and individual variance of the human brain revealed by quantitative imaging of adenosine triphosphate production rates

Xiao Hong Zhu, Byeong Yeul Lee, Wei Chen

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Cellular ATP energy metabolism and regulation are essential for brain function and health. Given the high ATP expenditure at resting-state, it is not yet clear how the human brain at working-state can effectively regulate ATP production to meet higher energy requirement. Through quantitative measurement of regional cerebral ATP production rates and associated neurophysiological parameters in human visual cortex at rest and during visual stimulation, we found significant stimulus-induced and highly correlated neuroenergetic changes, indicating distinctive and complementary roles of the ATP synthesis reactions in supporting evoked neuronal activity and maintaining ATP homeostasis. We also uncovered large individual variances in the neuroenergetic responses and significant reductions in intracellular [H + ] and free [Mg 2+ ] during the stimulation. These results provide new insights into the mechanism underlying the brain ATP energy regulation and present a sensitive and much-needed neuroimaging tool for quantitatively assessing neuroenergetic state in healthy and diseased human brain.

Original languageEnglish (US)
Pages (from-to)959-972
Number of pages14
JournalJournal of Cerebral Blood Flow and Metabolism
Volume38
Issue number6
DOIs
StatePublished - Jun 1 2018

Bibliographical note

Funding Information:
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported in part by NIH grants: R01 NS041262, NS057560, NS070839 and MH111413, R24 MH106049, P41 EB015894, P30 NS5076408; and the W.M. Keck Foundation.

Keywords

  • Cellular adenosine triphosphate energy metabolism
  • functional neuroenergetic response
  • human brain
  • in vivo P-MT imaging approach
  • visual stimulation

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