In one paragraphArticle in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed, 3 citations in OpenAlex.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
11 authors at 2 institutions in 1 country.
David HikeAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, Massachusetts, USA 02129.ORCID 0000-0001-5294-1767 Xiaochen LiuAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, Massachusetts, USA 02129.ORCID 0000-0001-6342-7704 Zeping XieAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, Massachusetts, USA 02129.ORCID 0000-0002-3120-5565 Bei ZhangAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, Massachusetts, USA 02129.ORCID 0009-0000-7406-0047 Sangcheon ChoiAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, Massachusetts, USA 02129.ORCID 0000-0001-7327-1344 Xiaoqing Alice ZhouAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, Massachusetts, USA 02129.ORCID 0000-0002-4139-032X Andy LiuAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, Massachusetts, USA 02129.ORCID 0009-0004-0080-8429 Alyssa MursteinAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, Massachusetts, USA 02129.
Yuanyuan JiangAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, Massachusetts, USA 02129.ORCID 0000-0001-7758-7450 Anna DevorAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, Massachusetts, USA 02129.ORCID 0000-0002-5143-3960 Xin YuAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, Massachusetts, USA 02129.ORCID 0000-0001-9890-5489 Harvard University · USBoston University · US
Funding
Project 4U19NS123717 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LINNINGER, ANDREAS A · 2021 to 2025
$13.4MInvestigating the Thalamic Regulation of Neuro-Glio-Vascular Restoration Underlying Acute Coma Recovery with Multi-Modal fMRI in a Brainstem Coma Rodent ModelR01NS122904 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI YU, XIN · 2021 to 2025
$3.2MSimultaneous functional MRI and Micro-Magnetic Nervous System StimulationR01NS120594 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI AY, ILKNUR, BONMASSAR, GIORGIO · 2021 to 2021
$2.2MInvestigating the neurophysiological basis of circuit-specific laminar rs-fMRIRF1NS124778 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI BISWAL, BHARAT BHUSAN, BROWN, EMERY N · 2022 to 2022
$2.1MDevelop a multi-modal cross-scale fMRI platform with laminar-specific cellular recordings through multi-channel tapered photonic crystal fiber arrayRF1NS113278 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI YU, XIN · 2019 to 2019
$2.0MUpgrade the 14T Ultrahigh Field Horizontal MR Scanner for Rodent and ex-vivo ImagingS10OD028616 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2021 to 2021
$600kUpgrade for Biospec Console and accessories for the 9.4T/20cm MagnetS10RR025563 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI DAI, GUANGPING · 2009 to 2009
$498kDevelopment of a Multi-Modal MRI Methodology to Map Paravascular Clearance Linked to Astrocyte Dysfunction in Fetal-Onset HydrocephalusR21NS121642 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI YU, XIN · 2021 to 2021
$462kNCRR NIH HHS S10 RR025563NIH HHS S10 OD028616NINDS NIH HHS R01 NS120594NINDS NIH HHS R01 NS122904NINDS NIH HHS R21 NS121642NINDS NIH HHS RF1 NS113278NINDS NIH HHS RF1 NS124778NINDS NIH HHS U19 NS123717
6 · The paper itselfAbstract
High-resolution awake mouse fMRI remains challenging despite extensive efforts to address motion-induced artifacts and stress. This study introduces an implantable radiofrequency (RF) surface coil design that minimizes image distortion caused by the air/tissue interface of mouse brains while simultaneously serving as a headpost for fixation during scanning. Furthermore, this study provides a thorough acclimation method used to accustom animals to the MRI environment minimizing motion induced artifacts. Using a 14T scanner, high-resolution fMRI enabled brain-wide functional mapping of visual and vibrissa stimulation at 100×100×200μm resolution with a 2s per frame sampling rate. Besides activated ascending visual and vibrissa pathways, robust BOLD responses were detected in the anterior cingulate cortex upon visual stimulation and spread through the ventral retrosplenial area (VRA) with vibrissa air-puff stimulation, demonstrating higher-order sensory processing in association cortices of awake mice. In particular, the rapid hemodynamic responses in VRA upon vibrissa stimulation showed a strong correlation with the hippocampus, thalamus, and prefrontal cortical areas. Cross-correlation analysis with designated VRA responses revealed early positive BOLD signals at the contralateral barrel cortex (BC) occurring 2 seconds prior to the air-puff in awake mice with repetitive stimulation, which was not detected using a randomized stimulation paradigm. This early BC activation indicated a learned anticipation through the vibrissa system and association cortices in awake mice under continuous training of repetitive air-puff stimulation. This work establishes a high-resolution awake mouse fMRI platform, enabling brain-wide functional mapping of sensory signal processing in higher association cortical areas.
Indexed as
Awake MouseBiological Sciences: NeuroscienceBOLDfMRIpredictionvibrissa stimulationvisual stimulation
Identifiers
PMID38106227
PMCPMC10723470
OpenAlexW4389514457
What OpenQuestion holds
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LicenceCC BY-NC
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