In one paragraphArticle in Hippocampus, 2026. 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.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
10 authors.
Anne M AlexanderAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0009-0008-0017-3186 Emma W RosenblumAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0009-0008-0574-4320 Nathaniel MercaldoAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0003-1658-6598 Erin-Marie C SmithAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0009-0008-1927-047X Chiara MauriAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0002-4928-9744 Bruce FischlAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0002-2413-1115 Ruopeng WangAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
André J W van der KouweAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0002-2754-6594 Jean C AugustinackAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0002-3129-6671 Funding
Imaging and Analysis Techniques to Construct a Cell Census Atlas of the Human Brain Admin SupplementU01MH117023 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A, FISCHL, BRUCE · 2018 to 2022
$7.6MAn Acquisition and Analysis Pipeline for Integrating MRI and Neuropathology in TBI-related Dementia and VCIDU24NS135561 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Bruce Fischl, Susie Yi Huang · 2023 to 2026
$6.1MBuilding a pathology-validated neuroimaging tool for Alzheimer's DiseaseR01AG057672 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI AUGUSTINACK, JEAN · 2018 to 2022
$2.4MIdentifying microscopic vasculature within entorhinal cortex in healthy aging and its proximity to pathology profiles in Alzheimer's diseaseRF1AG082223 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI AUGUSTINACK, JEAN · 2023 to 2023
$2.1MEstablishing cellular-validated standards for parcellating hippocampal subfields in aging and Alzheimer's diseaseR01AG072056 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI AUGUSTINACK, JEAN · 2024 to 2025
$1.1MNIH HHS R01AG057672NIH HHS R01AG072056NIH HHS RF1AG082223NIH HHS U01MH117023NIH HHS U24NS135561NINDS NIH HHS U24 NS135561
6 · The paper itselfAbstract
The human hippocampal tail is the posterior-most portion of the hippocampus and has been implicated in brain disorders, such as depression, panic disorder, and epilepsy. The tail's clinical relevance and volumetric variability exhibit a need for improved characterization with high-resolution imaging and histology at baseline. MRI provides three-dimensional context without missing slices and histology validates with architecture; combining these methods provides an optimal approach. Twenty control brain hemispheres were evaluated, including 10 males and 10 females. We scanned the hemispheres using ex vivo MRI at 120 μm isotropic resolution. The tissue was then processed and histologically stained. We manually labeled the hippocampal tail in high-resolution MRI, using six distinct coronal levels of the tail as guideposts, validating histologically. The volume and length of the tails were calculated using 3D MRI reconstructions; the median tail volume (median ± interquartile range) of our sample set was 715.6 ± 227.5 mm
Indexed as
HippocampusMagnetic Resonance ImagingAdultAgedFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMaleMiddle AgedSex Characteristicsanglefasciola cinereumfasciolar gyrusgyrus of Anders Retziushippocampusmorphologyvolume
Identifiers
PMID42124511
PMCPMC13168921
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