The roadmap for estimation of cell-type-specific neuronal activity from non-invasive measurements.

Philos Trans R Soc Lond B Biol Sci 2016 10;371(1705)

Department of Radiology, UCSD, La Jolla, CA 92093, USA Department of Neurosciences, UCSD, La Jolla, CA 92093, USA Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, Charlestown, MA 02129, USA

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 view of cellular-level brain function with cell-type-specific molecular 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 the way they drive changes in cerebral blood flow, cerebral metabolic rate of O2 (measurable with quantitative functional Magnetic 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'.

Download full-text PDF

Source
http://dx.doi.org/10.1098/rstb.2015.0356DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5003857PMC
October 2016
37 Reads

Publication Analysis

Top Keywords

neuronal activity
12
non-invasive imaging
8
forward model
8
human brain
8
non-invasive
5
accurately draw
4
draw physiological
4
magneto/electroencephalography forward
4
model provide
4
physiological inferences
4
studies accurately
4
imaging
4
animal studies
4
non-invasive signals
4
humans essential
4
currents/potentials measurable
4
essential path
4
signals humans
4
microscopic optical
4
provide 'ground
4

References

(Supplied by CrossRef)
Interpreting oxygenation-based neuroimaging signals: the importance and the challenge of understanding brain oxygen metabolism
Buxton RB et al.
Front 2010
The neural basis of the blood-oxygen-level-dependent functional magnetic resonance imaging signal
Logothetis NK et al.
Phil 2002
Biophysical and physiological origins of blood oxygenation level-dependent fMRI signals
Kim S-G et al.
J 2012
Recent advances in high-resolution MR application and its implications for neurovascular coupling research
Harel N et al.
Front 2010
Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging
Ogawa S et al.
Proc 1992
Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation
Kwong KK et al.
Proc 1992

Similar Publications