Cited by 23Schizophrenia research and treatmentNeurotransmitter Receptor Influence on BehaviorNeuroscience and Neuropharmacology Research

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Brain volumetric alterations accompanied with loss of striatal medium-sized spiny neurons and cortical parvalbumin expressing interneurons in Brd1+/− mice

Open access

Abstract

Schizophrenia is a common and severe mental disorder arising from complex gene-environment interactions affecting brain development and functioning. While a consensus on the neuroanatomical correlates of schizophrenia is emerging, much of its fundamental pathobiology remains unknown. In this study, we explore brain morphometry in mice with genetic susceptibility and phenotypic relevance to schizophrenia (Brd1+/− mice) using postmortem 3D MR imaging coupled with histology, immunostaining and regional mRNA marker analysis. In agreement with recent large-scale schizophrenia neuroimaging studies, Brd1+/− mice displayed subcortical abnormalities, including volumetric reductions of amygdala and striatum. Interestingly, we demonstrate that structural alteration in striatum correlates with a general loss of striatal neurons, differentially impacting subpopulations of medium-sized spiny neurons and thus potentially striatal output. Akin to parvalbumin interneuron dysfunction in patients, a decline in parvalbumin expression was noted in the developing cortex of Brd1+/− mice, mainly driven by neuronal loss within or near cortical layer V, which is rich in corticostriatal projection neurons. Collectively, our study highlights the translational value of the Brd1+/− mouse as a pre-clinical tool for schizophrenia research and provides novel insight into its developmental, structural, and cellular pathology.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41598-018-34729-5

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Volumetric analysis shows that caudate-putamen averages 20.5 ± 0.5μL in mice, with the extracellular space composing 3.1 μL.

    “Volumetric analysis shows that caudate–putamen averages 20.5 ± 0.5μL in mice15, with the extracellular space composing 3.1 μL.”

    From A curious concept of CNS clearance (2025) · cites this paper as [15]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 56

  1. van Erp, T. G. M. et al. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol. Psychiatry 21, 547–53 (2016). · DOI
  2. McGrath, J. et al. A systematic review of the incidence of schizophrenia: the distribution of rates and the influence of sex, urbanicity, migrant status and methodology. BMC Med. 2, 13 (2004). · DOI · Paper page
  3. Ripke, S. et al. Biological insights from 108 schizophrenia-associated genetic loci. Nature 511, 421–427 (2014). · DOI · Paper page
  4. Contestabile, A. & Sintoni, S. Histone acetylation in neurodevelopment. Curr. Pharm. Des. 19, 5043–50 (2013). · DOI
  5. Ibi, D. & González-Maeso, J. Epigenetic signaling in schizophrenia. Cell. Signal. 27, 2131–6 (2015). · DOI
  6. Mishima, Y. et al. The Hbo1-Brd1/Brpf2 complex is responsible for global acetylation of H3K14 and required for fetal liver erythropoiesis. Blood 118, 2443–53 (2011). · DOI
  7. Fryland, T. et al. Identification of the BRD1 interaction network and its impact on mental disorder risk. Genome Med. 8, 53 (2016). · DOI
  8. Severinsen, J. E. et al. Evidence implicating BRD1 with brain development and susceptibility to both schizophrenia and bipolar affective disorder. Mol. Psychiatry 11, 1126–38 (2006). · DOI
  9. Nyegaard, M. et al. Support of association between BRD1 and both schizophrenia and bipolar affective disorder. American J. Med. Genet. Part B, Neuropsychiatr. Genet. Off. Publ. Int. Soc. Psychiatr. Genet. 153B, 582–91 (2010). · DOI
  10. Aberg, K. A. et al. A comprehensive family-based replication study of schizophrenia genes. JAMA Psychiatry 70, 1–9 (2013). · DOI
  11. Andreassen, O. A., Thompson, W. K. & Dale, A. M. Boosting the power of schizophrenia genetics by leveraging new statistical tools. Schizophr. Bull. 40, 13–17 (2014). · DOI
  12. Qvist, P. et al. Mice heterozygous for an inactivated allele of the schizophrenia associated Brd1 gene display selective cognitive deficits with translational relevance to schizophrenia. Neurobiol. Learn. Mem. 141, 44–52 (2017). · DOI
  13. Qvist, P. et al. The Schizophrenia-Associated BRD1 Gene Regulates Behavior, Neurotransmission, and Expression of Schizophrenia Risk Enriched Gene Sets in Mice. Biol. Psychiatry 82, 62–76 (2017). · DOI
  14. Härtig, W., Brauer, K. & Brückner, G. Wisteria floribunda agglutinin-labelled nets surround parvalbumin-containing neurons. Neuroreport 3, 869–72 (1992). · DOI · Paper page
  15. Celio, M. R. & Blümcke, I. Perineuronal nets–a specialized form of extracellular matrix in the adult nervous system. Brain Res. Brain Res. Rev. 19, 128–45 (1994). · DOI
  16. Fusar-Poli, P. et al. Neuroanatomy of vulnerability to psychosis: A voxel-based meta-analysis. Neurosci. Biobehav. Rev. 35, 1175–1185 (2011). · DOI
  17. Haijma, S. V. et al. Brain Volumes in Schizophrenia: A Meta-Analysis in Over 18 000 Subjects. Schizophr. Bull. 39, 1129–1138 (2013). · DOI · Paper page
  18. Olabi, B. et al. Are there progressive brain changes in schizophrenia? A meta-analysis of structural magnetic resonance imaging studies. Biol. Psychiatry 70, 88–96 (2011). · DOI
  19. Vita, A., De Peri, L., Deste, G. & Sacchetti, E. Progressive loss of cortical gray matter in schizophrenia: a meta-analysis and meta-regression of longitudinal MRI studies. Transl. Psychiatry 2, e190 (2012). · DOI · Paper page
  20. Okada, N. et al. Abnormal asymmetries in subcortical brain volume in schizophrenia. Mol. Psychiatry 21, 1460–1466 (2016). · DOI
  21. Kreczmanski, P. et al. Volume, neuron density and total neuron number in five subcortical regions in schizophrenia. Brain 130, 678–92 (2007). · DOI
  22. Garey, L. When cortical development goes wrong: schizophrenia as a neurodevelopmental disease of microcircuits. J. Anat. 217, 324–333 (2010). · DOI
  23. Kochunov, P. & Hong, L. E. Neurodevelopmental and neurodegenerative models of schizophrenia: white matter at the center stage. Schizophr. Bull. 40, 721–8 (2014). · DOI · Paper page
  24. Meyer-Lindenberg, A. Neuroimaging and the question of neurodegeneration in schizophrenia. Prog. Neurobiol. 95, 514–6 (2011). · DOI
  25. Sorg, C. et al. Increased Intrinsic Brain Activity in the Striatum Reflects Symptom Dimensions in Schizophrenia. Schizophr. Bull. 39, 387–395 (2013). · DOI
  26. Grahn, J. A., Parkinson, J. A. & Owen, A. M. The cognitive functions of the caudate nucleus. Prog. Neurobiol. 86, 141–155 (2008). · DOI
  27. Do, J., Kim, J.-I., Bakes, J., Lee, K. & Kaang, B.-K. Functional roles of neurotransmitters and neuromodulators in the dorsal striatum. Learn. Mem. 20, 21–28 (2012). · DOI
  28. Calipari, E. S., Huggins, K. N., Mathews, T. A. & Jones, S. R. Conserved dorsal–ventral gradient of dopamine release and uptake rate in mice, rats and rhesus macaques. Neurochem. Int. 61, 986–991 (2012). · DOI
  29. Wu, Y. & Parent, A. Striatal interneurons expressing calretinin, parvalbumin or NADPH-diaphorase: a comparative study in the rat, monkey and human. Brain Res. 863, 182–91 (2000). · DOI
  30. Gonzales, K. K. & Smith, Y. Cholinergic interneurons in the dorsal and ventral striatum: anatomical and functional considerations in normal and diseased conditions. Ann. N. Y. Acad. Sci. 1349, 1–45 (2015). · DOI
  31. Gerfen, C. R. & Surmeier, D. J. Modulation of striatal projection systems by dopamine. Annu. Rev. Neurosci. 34, 441–66 (2011). · DOI
  32. Gangarossa, G. et al. Spatial distribution of D1R- and D2R-expressing medium-sized spiny neurons differs along the rostro-caudal axis of the mouse dorsal striatum. Front. Neural Circuits 7 (2013). · DOI
  33. Maurice, N. et al. Striatal Cholinergic Interneurons Control Motor Behavior and Basal Ganglia Function in Experimental Parkinsonism. Cell Rep. 13, 657–666 (2015). · DOI
  34. Tepper, J. M. & Bolam, J. P. Functional diversity and specificity of neostriatal interneurons. Curr. Opin. Neurobiol. 14, 685–92 (2004). · DOI · Paper page
  35. Robertson, G. S., Vincent, S. R. & Fibiger, H. C. D1 and D2 dopamine receptors differentially regulate c-fos expression in striatonigral and striatopallidal neurons. Neuroscience 49, 285–96 (1992). · DOI
  36. Deniau, J. M., Mailly, P., Maurice, N. & Charpier, S. The pars reticulata of the substantia nigra: a window to basal ganglia output. Prog. Brain Res. 160, 151–72 (2007). · DOI
  37. Lüthi, A. & Lüscher, C. Pathological circuit function underlying addiction and anxiety disorders. Nat. Neurosci. 17, 1635–1643 (2014). · DOI · Paper page
  38. Weinberger, D. R. & Berman, K. F. Prefrontal function in schizophrenia: confounds and controversies. Philos. Trans. R. Soc. Lond. B. Biol. Sci. 351, 1495–503 (1996). · DOI
  39. Baas, D. et al. Evidence of altered cortical and amygdala activation during social decision-making in schizophrenia. Neuroimage 40, 719–27 (2008). · DOI
  40. Allen, P. et al. Transition to psychosis associated with prefrontal and subcortical dysfunction in ultra high-risk individuals. Schizophr. Bull. 38, 1268–76 (2012). · DOI · Paper page
  41. Murray, A. J. et al. Parvalbumin-positive interneurons of the prefrontal cortex support working memory and cognitive flexibility. Sci. Rep. 5, 16778 (2015). · DOI
  42. Larsen, D. D. Retrograde tracing with recombinant rabies virus reveals correlations between projection targets and dendritic architecture in layer 5 of mouse barrel cortex. Front. Neural Circuits 1 (2008). · DOI
  43. Hattox, A. M. & Nelson, S. B. Layer V Neurons in Mouse Cortex Projecting to Different Targets Have Distinct Physiological Properties. J. Neurophysiol. 98, 3330–3340 (2007). · DOI
  44. Shepherd, G. M. G. Diversity and complexity in the pyramidal tract projectome. Nat. Rev. Neurosci. 15, 63 (2014). · DOI
  45. Kvajo, M., McKellar, H. & Gogos, J. A. Avoiding mouse traps in schizophrenia genetics: lessons and promises from current and emerging mouse models. Neuroscience 211, 136–164 (2012). · DOI
  46. Sled, J. G., Zijdenbos, A. P. & Evans, A. C. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans. Med. Imaging 17, 87–97 (1998). · DOI · Paper page
  47. Coupe, P. et al. An optimized blockwise nonlocal means denoising filter for 3-D magnetic resonance images. IEEE Trans. Med. Imaging 27, 425–41 (2008). · DOI
  48. Yushkevich, P. A. et al. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. Neuroimage 31, 1116–1128 (2006). · DOI · Paper page
  49. Avants, B. B., Epstein, C. L., Grossman, M. & Gee, J. C. Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Med. Image Anal. 12, 26–41 (2008). · DOI
  50. Dorr, A. E., Lerch, J. P., Spring, S., Kabani, N. & Henkelman, R. M. High resolution three-dimensional brain atlas using an average magnetic resonance image of 40 adult C57Bl/6J mice. Neuroimage 42, 60–9 (2008). · DOI
  51. Lerch, J. P. et al. Cortical thickness measured from MRI in the YAC128 mouse model of Huntington’s disease. Neuroimage 41, 243–251 (2008). · DOI
  52. Dougherty, J. D., Schmidt, E. F., Nakajima, M. & Heintz, N. Analytical approaches to RNA profiling data for the identification of genes enriched in specific cells. Nucleic Acids Res. 38, 4218–30 (2010). · DOI
  53. Holmgaard, A. et al. In Vivo Knockout of the Vegfa Gene by Lentiviral Delivery of CRISPR/Cas9 in Mouse Retinal Pigment EpitheliumCells. Mol. Ther. Nucleic Acids 9, 89–99 (2017). · DOI
  54. Heid, C. A., Stevens, J., Livak, K. J. & Williams, P. M. Real time quantitative PCR. Genome Res. 6, 986–994 (1996). · DOI
  55. Andersen, C. L., Jensen, J. L. & Ørntoft, T. F. Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res. 64, 5245–50 (2004). · DOI · Paper page
  56. Mitchell, I. J., Cooper, A. J. & Griffiths, M. R. The selective vulnerability of striatopallidal neurons. Prog. Neurobiol. 59, 691–719 (1999). · DOI

Cited by

Sorted by citations

Metadata

Authors
Qvist, P., Eskildsen, S. F., Hansen, B., Baragji, M., Ringgaard, S., Roovers, J., Paternoster, V., Molgaard, S., Corydon, T. J., Stødkilde-Jørgensen, H., Glerup, S., Mors, O., Wegener, G., Nyengaard, J. R., Børglum, A. D., & Christensen, J. H.
Affiliations
  • Aarhus University (DK)
  • Aarhus University Hospital (DK)
Corresponding author
  • Qvist, Per
  • Corydon, Thomas Juhl
Venue
Scientific Reports
Published
2018-11-07
Volume
8
Issue
1
Pages
16486-16486
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2899288958
Cited by
23
References
4
Citations by year
2026: 3 · 2025: 3 · 2024: 3 · 2022: 4 · 2021: 7 · 2020: 2 · 2018: 1
FWCI
1.80
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Scopus (Elsevier) (submittedVersion)
Funders
  • Aarhus Universitet
  • Villum Fonden
  • Lundbeckfonden (R198-2015-168, R248‐2017‐2003)
  • Novo Nordisk
  • Danmarks Frie Forskningsfond
  • Augustinus Fonden
  • Riisfort Fonden
  • Novo Nordisk Fonden
  • H. Lundbeck A/S
  • Sundhedsvidenskabelige Fakultet, Aarhus Universitet
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
schizophrenia, brain morphometry, striatum, amygdala, parvalbumin interneurons, cortical layer V, striatal output, neuronal loss, 3D MRI, mouse model
MeSH terms
Bromodomain Containing Proteins, Animals, Brain, Cell Count, Corpus Striatum, Heterozygote, Humans, Immunohistochemistry, Interneurons, Neurons, Organ Size, Parvalbumins, Biomarkers, Gene Expression, Mice, Knockout, Gene Expression Profiling, Mice, Histone Acetyltransferases

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review