Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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.
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
4 authors.
Li-Ming HsuCenter for Animal MRI, University of North Carolina at Chapel Hill, United States; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, United States; Department of Radiology, University of North Carolina at Chapel Hill, United States. Electronic address: liming_hsu@med.unc.edu.
Domenic H CerriCenter for Animal MRI, University of North Carolina at Chapel Hill, United States; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, United States; Department of Neurology, University of North Carolina at Chapel Hill, United States.
Regina M CarelliDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, United States.
Yen-Yu Ian ShihCenter for Animal MRI, University of North Carolina at Chapel Hill, United States; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, United States; Department of Neurology, University of North Carolina at Chapel Hill, United States. Electronic address: shihy@neurology.unc.edu.
Funding
UNC ARC Information/Dissemination CoreP60AA011605 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Clyde W Hodge · 2003 to 2026
$46.3M
Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GABRIEL S DICHTER · 2020 to 2026
$9.7M
UNC-CH NADIA Underage Drinking and Adult Brain Morphology in RatsU01AA020023 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CREWS, FULTON T · 2010 to 2024
$7.5M
Circuit Mechanisms Governing the Default Mode NetworkR01MH126518 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Vinod Menon, Yen-Yu Ian Shih · 2021 to 2026
$4.3M
Mechanisms underlying positive and negative BOLD in the striatumRF1MH117053 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2018 to 2019
$4.0M
SORDINO-fMRI for mouse brain applicationsR01EB033790 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Yen-Yu Ian Shih · 2023 to 2026
$2.5M
9.4T Small Animal MRI scanner at UNCS10OD026796 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2020 to 2020
$2.0M
Metal-free, genetically encoded reporters for calcium recording with MRIR01NS128278 · NINDS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI Tod Edward Kippin, Arnab Mukherjee · 2023 to 2026
$1.9M
AVANCE NEO upgrade for the BioSpec 9.4T/30cm MRI system at UNCS10MH124745 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2020 to 2020
$600k
Concurrent high resolution calcium imaging and fMRI reveal intra anterior cingulate cortex neuronal activity and large-scale brain network connectivity in healthy and nicotine-addicted miceR21DA057503 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HSU, LI-MING, SHIH, YEN-YU IAN · 2023 to 2024
$428k
Deciphering neural origins of interhemispheric striatal resting-state functional connectivity using simultaneous chemogenetic fMRI and triple-spectral fiber photometryR21NS133913 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN, ZHANG, WEITING · 2023 to 2023
$428k
Accurate and Individualized Prediction of Excitation-Inhibition Imbalance in Alzheimer's Disease using Data-driven Neural ModelR21AG083589 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GUOSHI, SHIH, YEN-YU IAN · 2023 to 2023
Optogenetic techniques are often employed to dissect neural pathways with presumed specificity for targeted projections. In this study, we used optogenetic fMRI to investigate the effective landscape of stimulating the cell bodies versus one of its projection terminals. Specifically, we selected a long-range unidirectional projection from the ventral subiculum (vSUB) to the nucleus accumbens shell (NAcSh) and placed two stimulating fibers-one at the vSUB cell bodies and the other at the vSUB terminals in the NAcSh. Contrary to the conventional view that terminal stimulation confines activity to the feedforward stimulated pathway, our findings reveal that terminal stimulation induces brain activity and connectivity patterns remarkably similar to those of vSUB cell body stimulation. This observation suggests that the specificity of optogenetic terminal stimulation may induce antidromic activation, leading to broader network involvement than previously acknowledged.
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.
Optogenetic stimulation of cell bodies versus axonal terminals generate comparable activity and functional connectivity patterns in the brain. · full record | OpenQuestion