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UHLÍŘOVÁ, H. KILIC, K. PEIFANG, T. SAKADŽIC, S. GAGNON, L. THUNEMANN, M. DESJARDINS, M. SAISAN, P. NIZAR, K. YASEEN, M. HAGLER, D. VANDENBERGHE, M. DJUROVIC, S. ANDREASSEN, O. SILVA, G. MASLIAH, E. KLEINFELD, D. VINOGRADOV, S. BUXTON, R. EINEVOLL, G. BOAS, D. DALE, A. DEVOR, A.
Original Title
The roadmap for estimation of cell-type-specific neuronal activity from non-invasive measurements
Type
journal article in Web of Science
Language
English
Original Abstract
The computational properties of the human brain arise from an intricate interplay between billions of neurons connected in complex networks. However, our ability to study these networks in healthy human brain is limited by the necessity to use non-invasive technologies. This is in contrast to animal models where a rich, detailed viewof cellular-level brain functionwith cell-type-specificmolecular identity has become available due to recent advances in microscopic optical imaging and genetics. Thus, a central challenge facing neuroscience today is leveraging these mechanistic insights from animal studies to accurately draw physiological inferences from non-invasive signals in humans. On the essential path towards this goal is the development of a detailed ‘bottom-up’ forward model bridging neuronal activity at the level of cell-type-specific populations to non-invasive imaging signals. The general idea is that specific neuronal cell types have identifiable signatures in theway they drive changes in cerebral blood flow, cerebral metabolic rate ofO2 (measurablewith quantitative functionalMagnetic Resonance Imaging), and electrical currents/potentials (measurable with magneto/electroencephalography). This forward model would then provide the ‘ground truth’ for the development of new tools for tackling the inverse problem—estimation of neuronal activity from multimodal non-invasive imaging data. This article is part of the themed issue ‘Interpreting BOLD: a dialogue between cognitive and cellular neuroscience’.
Keywords
BOLD fMRI, CMRO2, magnetoencephalography, neurovascular, neurometabolic, cerebral blood flow
Authors
UHLÍŘOVÁ, H.; KILIC, K.; PEIFANG, T.; SAKADŽIC, S.; GAGNON, L.; THUNEMANN, M.; DESJARDINS, M.; SAISAN, P.; NIZAR, K.; YASEEN, M.; HAGLER, D.; VANDENBERGHE, M.; DJUROVIC, S.; ANDREASSEN, O.; SILVA, G.; MASLIAH, E.; KLEINFELD, D.; VINOGRADOV, S.; BUXTON, R.; EINEVOLL, G.; BOAS, D.; DALE, A.; DEVOR, A.
Released
5. 10. 2016
ISBN
0962-8436
Periodical
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
Year of study
371
Number
1705
State
United Kingdom of Great Britain and Northern Ireland
Pages from
1
Pages to
16
Pages count
BibTex
@article{BUT130896, author="Hana {Uhlířová} and Kivilcim {Kilic} and Tiam {Peifang} and Sava {Sakadžic} and Louis {Gagnon} and Martin {Thunemann} and Michele {Desjardins} and Payam A. {Saisan} and Krystal {Nizar} and Mohammad A. {Yaseen} and Donald J. {Hagler} and Matthieu {Vandenberghe} and Srdjan {Djurovic} and Ola A {Andreassen} and Gabriel A. {Silva} and Eliezer {Masliah} and David {Kleinfeld} and Sergei {Vinogradov} and Richard B {Buxton} and Gaute T. {Einevoll} and David A. {Boas} and Anders M. {Dale} and Anna {Devor}", title="The roadmap for estimation of cell-type-specific neuronal activity from non-invasive measurements", journal="PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES", year="2016", volume="371", number="1705", pages="1--16", doi="10.1098/rstb.2015.0356", issn="0962-8436" }