Evidence map›Paper›PMID 27574309›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2016

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

Hana Uhlirova, Kıvılcım Kılıç, Peifang Tian, Sava Sakadžić, Louis Gagnon, Martin Thunemann, Michèle Desjardins, Payam A Saisan, Krystal Nizar, Mohammad A Yaseen and 13 more

Open access · bronzeAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. BOLD response delays represent local cortical processing.Cerebral cortex (New York, N.Y. : 1991) · 2026
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  5. WidefieldNeurophotonics · 2024
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  6. Article
  7. Article
  8. Review
  9. Article
  10. Optical measurement of microvascular oxygenation and blood flow responses in awake mouse cortex during functional activation.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Article
  11. Article
  12. Article
  13. Opposed hemodynamic responses following increased excitation and parvalbumin-based inhibition.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Functional ultrasound imaging of deep visual cortex in awake nonhuman primates.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  18. Article
  19. Article
  20. Vascular and neural basis of the BOLD signal.Current opinion in neurobiology · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors at 7 institutions in 3 countries.

Hana UhlirovaDepartment of Radiology, UCSD, La Jolla, CA 92093, USA CEITEC-Central European Institute of Technology and Institute of Physical Engineering, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic.
Kıvılcım KılıçDepartment of Neurosciences, UCSD, La Jolla, CA 92093, USA.
Peifang TianDepartment of Neurosciences, UCSD, La Jolla, CA 92093, USA Department of Physics, John Carroll University, University Heights, OH 44118, USA.
Sava SakadžićMartinos Center for Biomedical Imaging, MGH, Harvard Medical School, Charlestown, MA 02129, USA.
Louis GagnonMartinos Center for Biomedical Imaging, MGH, Harvard Medical School, Charlestown, MA 02129, USA.ORCID 0000-0001-7202-5176
Martin ThunemannDepartment of Radiology, UCSD, La Jolla, CA 92093, USA.
Michèle DesjardinsDepartment of Radiology, UCSD, La Jolla, CA 92093, USA.
Payam A SaisanDepartment of Neurosciences, UCSD, La Jolla, CA 92093, USA.
Krystal NizarNeurosciences Graduate Program, UCSD, La Jolla, CA 92093, USA.
Mohammad A YaseenMartinos Center for Biomedical Imaging, MGH, Harvard Medical School, Charlestown, MA 02129, USA.
Donald J HaglerDepartment of Radiology, UCSD, La Jolla, CA 92093, USA.
Matthieu VandenbergheDepartment of Radiology, UCSD, La Jolla, CA 92093, USA NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, 0407 Oslo, Norway.
Srdjan DjurovicDepartment of Medical Genetics, Oslo University Hospital, 0407 Oslo, Norway NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, 5020 Bergen, Norway.
Ole A AndreassenNORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, 0407 Oslo, Norway.
Gabriel A SilvaDepartment of Bioengineering, UCSD, La Jolla, CA 92093, USA Department of Opthalmology, UCSD, La Jolla, CA 92093, USA.
Eliezer MasliahDepartment of Neurosciences, UCSD, La Jolla, CA 92093, USA.
David KleinfeldDepartment of Physics, UCSD, La Jolla, CA 92093, USA Department of Electrical and Computer Engineering, UCSD, La Jolla, CA 92093, USA Section of Neurobiology, UCSD, La Jolla, CA 92093, USA.ORCID 0000-0001-9797-4722
Sergei VinogradovDepartment of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Richard B BuxtonDepartment of Radiology, UCSD, La Jolla, CA 92093, USA.
Gaute T EinevollDepartment of Mathematical Sciences and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway Department of Physics, University of Oslo, 0316 Oslo, Norway.
David A BoasMartinos Center for Biomedical Imaging, MGH, Harvard Medical School, Charlestown, MA 02129, USA.
Anders M DaleDepartment of Radiology, UCSD, La Jolla, CA 92093, USA Department of Neurosciences, UCSD, La Jolla, CA 92093, USA.
Anna DevorDepartment 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 adevor@ucsd.edu.
University of California San Diego · USHarvard University · USOslo University Hospital · NOCentral European Institute of Technology · CZJohn Carroll University · USUniversity of Oslo · NOUniversity of Pennsylvania · US

Funding

Spatiotemporal Brain Imaging: Microscopic &System LevelR01EB000790 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DALE, ANDERS M · 2002 to 2015
$15.3M
Targeting ROCK for Neurogliovascular Plasticity & Remodeling After StrokeP01NS055104 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI LO, ENG H. · 2007 to 2018
$13.3M
Manipulating Neural Tissue With Ultra-Short Laser PulsesR01EB003832 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KAUFHOLD, JOHN, KLEINFELD, DAVID · 2005 to 2014
$8.2M
MICROSCOPIC FOUNDATION OF MULTIMODAL HUMAN IMAGINGR01MH111359 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DALE, ANDERS M, DEVOR, ANNA · 2016 to 2020
$5.6M
The Physiological Basis of Functional MRIR01NS036722 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BUXTON, RICHARD BRUCE · 1998 to 2017
$5.2M
Neuronal, glial and BOLD fMRI signals: From BOLD to 2-photon microscopyR01NS057198 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEVOR, ANNA · 2009 to 2017
$2.6M
Two-Photon Microscopy of Oxygen Consumption in the BrainR01NS091230 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI SAKADZIC, SAVA · 2015 to 2019
$2.4M
CNiFERs Cell-based Neurotransmitter Fluorescent Engineered ReportersR01DA029706 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KLEINFELD, DAVID · 2010 to 2014
$2.3M
Defining the Logic of Neurovascular Signaling in the BrainDP1NS082097 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KLEINFELD, DAVID · 2012 to 2014
$2.3M
Defining the Logic of Neurovascular Signaling in the BrainDP1OD006831 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KLEINFELD, DAVID · 2010 to 2011
$1.5M
Enabling widespread use of high resolution imaging of oxygen in the brainR24NS092986 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BOAS, DAVID A, VINOGRADOV, SERGEI · 2015 to 2018
$1.2M
Multiphoton imaging and uncaging system with a capability of simultaneous electroS10RR029050 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DALE, ANDERS M · 2010 to 2010
$870k
NCRR NIH HHS S10 RR029050NIA NIH HHS R00 AG042026NIBIB NIH HHS R01 EB000790NIBIB NIH HHS R01 EB003832NIDA NIH HHS R01 DA029706NIH HHS DP1 OD006831NIMH NIH HHS R01 MH111359NINDS NIH HHS DP1 NS082097NINDS NIH HHS P01 NS055104NINDS NIH HHS R01 NS036722NINDS NIH HHS R01 NS057198NINDS NIH HHS R01 NS091230NINDS NIH HHS R24 NS092986
6 · The paper itself

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 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'.

Indexed as

AnimalsBrain MappingCerebrovascular CirculationHumansMagnetic Resonance ImagingMiceModels, NeurologicalNeuronsOxygenRatsSomatosensory CortexOxygenBOLD fMRIcerebral blood flowCMRO2magnetoencephalographyneurometabolicneurovascular

Identifiers

PMID27574309
PMCPMC5003857
OpenAlexW2509400647

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.