ArticleResearch square2023
Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization.
Hadi Vafaii, Francesca Mandino, Gabriel Desrosiers-Grégoire, David O'Connor, Xilin Shen, Xinxin Ge, Peter Herman, Fahmeed Hyder, Xenophon Papademetris, Mallar Chakravarty and 4 more
Open access · greenAbstract readPreprint
In one paragraphArticle in Research square, 2023. 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, 8 citations in OpenAlex.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
14 authors at 5 institutions in 3 countries.
Francesca MandinoDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA.ORCID 0000-0002-5605-0854 Gabriel Desrosiers-GrégoireComp. Brain Anatomy Laboratory, Cerebral Imaging Center, Douglas Mental Health Univ. Institute, Montreal, QC, H4H 1R3, Canada.
David O'ConnorDepartment of Biomedical Engineering, Yale University, New Haven, CT, 06511, USA.
Xilin ShenDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA.
Xinxin GeDepartment of Physiology, School of Medicine, University of California San Francisco, San Francisco, CA, 94143, USA.
Peter HermanDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA.ORCID 0000-0003-2218-9652 Fahmeed HyderDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA.ORCID 0000-0001-7822-4002 Xenophon PapademetrisDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA.
Mallar ChakravartyComp. Brain Anatomy Laboratory, Cerebral Imaging Center, Douglas Mental Health Univ. Institute, Montreal, QC, H4H 1R3, Canada.
R Todd ConstableDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA.ORCID 0000-0001-5661-9521 Evelyn Mr LakeDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA.ORCID 0000-0001-8255-8013 Yale University · USUniversity of Maryland, College Park · USDouglas Mental Health University Institute · CAMcGill University · CAUniversity of California, San Francisco · US
Funding
Understanding evoked and resting-state fMRI through multi scale imagingR01MH111424 · NIMH · YALE UNIVERSITY · PI CONSTABLE, R TODD, CRAIR, MICHAEL C. · 2016 to 2020
$5.2MMultimodal imaging of prodromal synaptic, circuit, and network-level dysfunction in a murine model of Alzheimer's diseaseRF1NS130069 · NINDS · YALE UNIVERSITY · PI CAI, ZHENGXIN, LAKE, EVELYN MR · 2022 to 2022
$2.5MLeveraging simultaneous BOLD-fMRI and wide-field Ca2+ imaging to reveal measures of neurovascular health that cross scales and species which have AD symptom and treatment response prognostic utilityR21AG075778 · NIA · YALE UNIVERSITY · PI LAKE, EVELYN MR · 2022 to 2022
$461kNIA NIH HHS R21 AG075778NIMH NIH HHS R01 MH111424NINDS NIH HHS RF1 NS130069
6 · The paper itselfAbstract
Large-scale functional networks have been characterized in both rodent and human brains, typically by analyzing fMRI-BOLD signals. However, the relationship between fMRI-BOLD and underlying neural activity is complex and incompletely understood, which poses challenges to interpreting network organization obtained using this technique. Additionally, most work has assumed a disjoint functional network organization (i.e., brain regions belong to one and only one network). Here, we employed wide-field Ca
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PMID37162818
PMCPMC10168440
OpenAlexW4366998392
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