Evidence map›Paper›PMID 22378178›Full record

ArticleJournal of neurophysiology2012

Quantitative unit classification of ventral tegmental area neurons in vivo.

Wei Li, William M Doyon, John A Dani

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 22% of its field
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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Frontiers in neural circuits · 2020
    Article
  7. Article
  8. Article
  9. A Specific Component of the Evoked Potential Mirrors Phasic Dopamine Neuron Activity during Conditioning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    Article
  10. Review
  11. A subpopulation of neurochemically-identified ventral tegmental area dopamine neurons is excited by intravenous cocaine.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    Article
  12. Article
  13. Mechanisms for multiple activity modes of VTA dopamine neurons.Frontiers in computational neuroscience · 2015
    Article
  14. Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

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

3 authors at 1 institution in 1 country.

Wei LiCenter on Addiction, Learning, Memory, Department of Neuroscience, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
William M Doyon
John A Dani
Baylor College of Medicine · US

Funding

STRUCTURE/FUNCTION OF EXCITATORY SYNAPTIC CHANNELSR01NS021229 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DANI, JOHN A. · 1987 to 2021
$5.3M
CELLULAR MECHANISMS OF NICOTINE ADDICTIONR01DA009411 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI DANI, JOHN A. · 1997 to 2018
$5.0M
CHOLINERGIC INFLUENCES NEURONAL CIRCUIT EXCITABILITYR37NS021229 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI DANI, JOHN A. · 2000 to 2006
$2.1M
ELECTRICALLY SIZING AND MODIFYING ION CHANNELSR23NS021229 · NINDS · YALE UNIVERSITY · PI DANI, JOHN A. · 1985 to 1986
–
NIDA NIH HHS DA09411NINDS NIH HHS NS21229NINDS NIH HHS R01 NS021229
6 · The paper itself

Abstract

Neurons in the ventral tegmental area (VTA) synthesize several major neurotransmitters, including dopamine (DA), GABA, and glutamate. To classify VTA single-unit neural activity from freely moving rats, we used hierarchical agglomerative clustering and probability distributions as quantitative methods. After many parameters were examined, a firing rate of 10 Hz emerged as a transition frequency between clusters of low-firing and high-firing neurons. To form a subgroup identified as high-firing neurons with GABAergic characteristics, the high-firing classification was sorted by spike duration. To form a subgroup identified as putative DA neurons, the low-firing classification was sorted by DA D2-type receptor pharmacological responses to quinpirole and eticlopride. Putative DA neurons were inhibited by the D2-type receptor agonist quinpirole and returned to near-baseline firing rates or higher following the D2-type receptor antagonist eticlopride. Other unit types showed different responses to these D2-type receptor drugs. A multidimensional comparison of neural properties indicated that these subgroups often clustered independently of each other with minimal overlap. Firing pattern variability reliably distinguished putative DA neurons from other unit types. A combination of phasic burst properties and a low skew in the interspike interval distribution produced a neural population that was comparable to the one sorted by D2 pharmacology. These findings provide a quantitative statistical approach for the classification of VTA neurons in unanesthetized animals.

Indexed as

Action PotentialsAnimalsDopamineDopamine AgonistsDopamine Antagonistsgamma-Aminobutyric AcidGlutamic AcidMaleNeuronsQuinpiroleRatsRats, Long-EvansSalicylamidesVentral Tegmental AreaDopamineDopamine AgonistsDopamine Antagonistseticlopridegamma-Aminobutyric AcidGlutamic AcidQuinpiroleSalicylamides

Identifiers

PMID22378178
PMCPMC3362283
OpenAlexW2072488175

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.