Insights into holoprosencephaly using multimodal high-resolution imaging and 3D histology

Holoprosencephaly (HPE) is a well-described forebrain patterning disorder in mid-late gestation fetuses and infants. Here, we used a novel, whole-brain multimodal approach (ultrasonography, magnetic resonance imaging, and histology with 3-dimensional [3D] reconstructions with cell mapping) in earlier-gestation specimens than previously reported. In one 13- and two 22-gestational week fetuses and age-matched controls, we elucidated heretofore underappreciated HPE findings of (1) abnormal clustering of immature (doublecortin-immunoreactive) cells in the midline and paramedian forebrain, (2) linear arrays of cells in the intermediate zone of the cerebral mantle (reminiscent of subcortical band heterotopia, but possibly transient), (3) "reactive"-appearing glial fibrillary acidic protein-immunoreactive cortical cells, and (4) apparent "midline fusion" of rostral ganglionic eminences. We observed disorganization of orbitofrontal cortices and midline structures, rostral subarachnoid (marginal zone) heterotopia, and lateral displacement of the hippocampal formations utilizing multiscale multimodal 3D analytics. These findings shed light on the temporal evolution of HPE at earlier gestational ages. Moreover, this approach is scalable to include the wide range of phenotypes of HPE and is applicable to other neurologic disorders, including developmental as well as adult vascular, infectious, neoplastic, and degenerative conditions for which spatial analyses permit a fuller understanding of their pathologic spectrum.

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Journal
Journal of Neuropathology & Experimental Neurology
Published
2025-05-24
DOI
https://doi.org/10.1093/jnen/nlaf057
Citations
1
Primary Topic
Hedgehog Signaling Pathway Studies
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article
Field-Weighted Citation Impact
0.81
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article

Insights into holoprosencephaly using multimodal high-resolution imaging and 3D histology

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1 citations
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article

Insights into holoprosencephaly using multimodal high-resolution imaging and 3D histology

Rebecca D. Folkerth, Mohanasankar Sivaprakasam, Jaikishan Jayakumar, Suresh Seshadri, Chitra Srinivasan, Harish Kumar, S. Latha, Richa Verma, Jayaraman Kumutha, Jivitha Jyothi Ramesh
article en
1 citations

Abstract

Holoprosencephaly (HPE) is a well-described forebrain patterning disorder in mid-late gestation fetuses and infants. Here, we used a novel, whole-brain multimodal approach (ultrasonography, magnetic resonance imaging, and histology with 3-dimensional [3D] reconstructions with cell mapping) in earlier-gestation specimens than previously reported. In one 13- and two 22-gestational week fetuses and age-matched controls, we elucidated heretofore underappreciated HPE findings of (1) abnormal clustering of immature (doublecortin-immunoreactive) cells in the midline and paramedian forebrain, (2) linear arrays of cells in the intermediate zone of the cerebral mantle (reminiscent of subcortical band heterotopia, but possibly transient), (3) "reactive"-appearing glial fibrillary acidic protein-immunoreactive cortical cells, and (4) apparent "midline fusion" of rostral ganglionic eminences. We observed disorganization of orbitofrontal cortices and midline structures, rostral subarachnoid (marginal zone) heterotopia, and lateral displacement of the hippocampal formations utilizing multiscale multimodal 3D analytics. These findings shed light on the temporal evolution of HPE at earlier gestational ages. Moreover, this approach is scalable to include the wide range of phenotypes of HPE and is applicable to other neurologic disorders, including developmental as well as adult vascular, infectious, neoplastic, and degenerative conditions for which spatial analyses permit a fuller understanding of their pathologic spectrum.

Journal of Neuropathology & Experimental NeurologyVol. 84(9)
Allen Institute for Brain Science (US), Indian Institute of Technology Madras (IN), Fetal Care Research Foundation (IN), Saveetha University (IN), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 28%
Hedgehog Signaling Pathway Studies
0.81
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