The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
IhChannels Contribute to the Different Functional Properties of Identified Dopaminergic Subpopulations in the Midbrain
Open accessAbstract
Dopaminergic (DA) midbrain neurons in the substantia nigra (SN) and ventral tegmental area (VTA) are involved in various brain functions such as voluntary movement and reward and are targets in disorders such as Parkinson's disease and schizophrenia. To study the functional properties of identified DA neurons in mouse midbrain slices, we combined patch-clamp recordings with either neurobiotin cell-filling and triple labeling confocal immunohistochemistry, or single-cell RT-PCR. We discriminated four DA subpopulations based on anatomical and neurochemical differences: two calbindin D28-k (CB)-expressing DA populations in the substantia nigra (SN/CB+) or ventral tegmental area (VTA/CB+), and respectively, two calbindin D28-k negative DA populations (SN/CB-, VTA/CB-). VTA/CB+ DA neurons displayed significantly faster pacemaker frequencies with smaller afterhyperpolarizations compared with other DA neurons. In contrast, all four DA populations possessed significant differences in I(h) channel densities and I(h) channel-mediated functional properties like sag amplitudes and rebound delays in the following order: SN/CB- --> VTA/CB- --> SN/CB+ --> VTA/CB+. Single-cell RT-multiplex PCR experiments demonstrated that differential calbindin but not calretinin expression is associated with differential I(h) channel densities. Only in SN/CB- DA neurons, however, I(h) channels were actively involved in pacemaker frequency control. In conclusion, diversity within the DA system is not restricted to distinct axonal projections and differences in synaptic connectivity, but also involves differences in postsynaptic conductances between neurochemically and topographically distinct DA neurons.
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.
Integrity signals
Registry
Cites
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.
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
Predictive reward signal of dopamine neurons
Schultz, W. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.1.1 · Cited by 4,564
Chronic systemic pesticide exposure reproduces features of Parkinson's disease
Betarbet, R., Sherer, T. B., MacKenzie, G., Garcia-Osuna, M., Panov, A. V., & Greenamyre, J. T. (2000) · Nature Neuroscience · doi:10.1038/81834 · Cited by 3,683
From Ionic Currents to Molecular Mechanisms
Catterall, W. A. (2000) · Neuron · doi:10.1016/s0896-6273(00)81133-2 · Cited by 2,118
Swanson, L. W. (1982) · Brain Research Bulletin · doi:10.1016/0361-9230(82)90145-9 · Cited by 1,718 · cited 3×
“associated with limbic and cognitive functions (Swanson, 1982; Oades and Halliday, 1987; Carr and Sesack, 2000b).”
BackgroundHaber, S. N., Fudge, J. L., & McFarland, N. R. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-06-02369.2000 · Cited by 1,610
The neostriatal mosaic: multiple levels of compartmental organization
Gerfen, C. R. (1992) · Trends in Neurosciences · doi:10.1016/0166-2236(92)90355-c · Cited by 1,467
The control of firing pattern in nigral dopamine neurons: burst firing
Grace, A., & Bunney, B. (1984) · The Journal of Neuroscience · doi:10.1523/jneurosci.04-11-02877.1984 · Cited by 1,344
Addiction, Dopamine, and the Molecular Mechanisms of Memory
Berke, J. D., & Hyman, S. E. (2000) · Neuron · doi:10.1016/s0896-6273(00)81056-9 · Cited by 1,181
Queer Current and Pacemaker: The Hyperpolarization-Activated Cation Current in Neurons
Pape, H.-C. (1996) · Annual Review of Physiology · doi:10.1146/annurev.ph.58.030196.001503 · Cited by 1,151
Resonance, oscillation and the intrinsic frequency preferences of neurons
Hutcheon, B., & Yarom, Y. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01547-2 · Cited by 1,137
Cited by
Drugs of Abuse and Stress Trigger a Common Synaptic Adaptation in Dopamine Neurons
Saal, D., Dong, Y., Bonci, A., & Malenka, R. C. (2003) · Neuron · doi:10.1016/s0896-6273(03)00021-7 · Cited by 1,147
Ventral tegmental area: cellular heterogeneity, connectivity and behaviour
Morales, M., & Margolis, E. B. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.165 · Cited by 1,108
Unique properties of mesoprefrontal neurons within a dual mesocorticolimbic dopamine system
Lammel, S., Hetzel, A., Häckel, O., Jones, I., Liss, B., & Roeper, J. (2008) · Neuron · doi:10.1016/j.neuron.2008.01.022 · Cited by 976
Self-citationIntact-brain analyses reveal distinct information carried by SNc dopamine subcircuits
Lerner, T. N., Shilyansky, C., Davidson, T. J., Evans, K. E., Beier, K. T., Zalocusky, K. A., Crow, A. K., Malenka, R. C., Luo, L., Tomer, R., et al. (2015) · Cell · doi:10.1016/j.cell.2015.07.014 · Cited by 794
“Differences in Ih currents are strongly correlated with action potential rebound delays and can influence pacemaking activity (Neuhoff et al., 2002), particularly in the case of calbindin-negative SNc DA neurons (which constitute the majority of the SNc DA neuron population).”
BackgroundWitten, I. B., Steinberg, E. E., Lee, S. Y., Davidson, T. J., Zalocusky, K. A., Brodsky, M., Yizhar, O., Cho, S. L., Gong, S., Ramakrishnan, C., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.10.028 · Cited by 680
Metadata
- Authors
- Neuhoff, H., Neu, A., Liss, B., & Roeper, J.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2002-02-15
- Volume
- 22
- Issue
- 4
- Pages
- 1290-1302
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W1823302046
- Cited by
- 398
- References
- 88
- FWCI
- 3.89
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: IhChannels Contribute to the Different Functional Properties of Identified Dopaminergic Subpopulations in the Midbrain. https://app.cochat.ai/papers/10.1523/jneurosci.22-04-01290.2002
- The paper
- Neuhoff, H., Neu, A., Liss, B., & Roeper, J. (2002). IhChannels Contribute to the Different Functional Properties of Identified Dopaminergic Subpopulations in the Midbrain. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.22-04-01290.2002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.