Vision: Running into differences
Imagine you are walking down a busy street. As you move, your brain receives visual information that it uses, alongside other sensory inputs, to guide your next steps. Traditionally, it was thought that the parts of the brain that process sensory information, such as the primary visual cortex, were largely unaffected by body movements. It therefore came as a shock when a group of researchers discovered that running significantly increased neuronal activity in the primary visual cortex of mice (Niell and Stryker, 2010; Figure 1A).
This rise in activity was different from the increase caused by arousal (Vinck et al., 2015), suggesting that the observed change in the primary visual cortex was due to the motion of the body. However, it remained unclear whether body movement also influences sensory processing in non-human primates, which are evolutionarily closer to humans. Now, in eLife, Jacob Yates, Alexander Huk and co-workers – including John Liska and Declan Rowley as joint first authors – report how running impacts the primary visual cortex of marmosets (Liska et al., 2023).
The team (who are based at the University of Texas at Austin, University of Maryland, University of Berkeley, California, and UCLA) recorded the neuronal activity of marmosets as they ran or remained stationary on a treadmill whilst looking at a screen, similar to the experimental set-up used in the previous mouse study (Figure 1B). The results were then compared to publicly available datasets from the experiments conducted in mice.
Analysis of the mouse dataset confirmed that body movements increase neuronal activity in the primary visual cortex, in agreement with previous studies. However, Liska, Rowley et al. found that running did not cause the same pronounced effect in marmosets. Intriguingly, the behavior of neurons in the primary visual cortex depended on which parts of the visual field they respond to: movement decreased the activity of foveal neurons, which receive inputs from the center of the visual field, but slightly increased the activity of peripheral neurons, which respond to inputs from the outermost parts of the visual field. Unlike humans and non-human primates, rodents do not have a fovea, which may contribute to the observed difference between the marmosets and mice.
Another possibility is that rodents and monkeys process non-visual inputs (such as running or attention) differently in their visual cortices. To test this, Liska, Rowley et al. applied a model to their data which tests to what degree non-visual inputs adjust the way neurons respond to visual stimuli. The team found that the model was able to explain a significant proportion of the data from both the marmosets and mice, including the variations they had observed between experimental trials in each species. This suggests that the different response to body movement between the marmosets and mice is not because they process non-visual factors in distinct ways.
A recent study similarly showed that body movement only minimally increases neuronal activity in the visual cortex of macaques, another non-human primate (Talluri et al., 2023; Figure 1C). The researchers found that only a small fraction of the activity in the visual cortex was due to spontaneous body movements (such as scratching). Instead, the majority was explained by movements which changed the visual inputs arriving to the brain, or visual stimuli and task-related variables, such as when the monkey received a reward.
So, how do such striking differences between mice and two primate species come about? Liska, Rowley et al. propose several possible mechanisms. First, the distinction may be due to neurons in the primary visual cortex responding differently to the neurotransmitter acetylcholine: in primates, acetylcholine generally suppresses activity in the visual cortex, but in rodents, it increases activity (Disney et al., 2007; Pakan et al., 2016). Second, because the visual system of a primate has more specialized areas than the rodent visual system, factors like running may influence those regions rather than condensing its effects to the primary visual cortex. Third, the neurons in the primary visual cortex of mice may be more sensitive to running because they receive substantial direct projections from premotor areas of the brain which plan and organize movement (Leinweber et al., 2017) – this is note the case for the neurons in the primary visual cortex of monkeys (Markov et al., 2014).
The findings of Liska, Rowley et al. open up several exciting avenues for exploring how the brain integrates sensory inputs with movements. Categorizing the movements as relevant or irrelevant to the task at hand might shed light on which aspects of non-visual inputs affect sensory areas the most. More generally, by investigating how visual areas in mice and monkeys respond to non-visual inputs, it may be possible to uncover overarching mechanisms that are used by sensory systems to integrate and sample information from the environment.
References
-
Activity in primate visual cortex is minimally driven by spontaneous movementsNature Neuroscience 26:1953–1959.https://doi.org/10.1038/s41593-023-01459-5
Article and author information
Author details
Publication history
Copyright
© 2024, Psarou et al.
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 538
- views
-
- 42
- downloads
-
- 0
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Download links
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
Further reading
-
- Developmental Biology
- Neuroscience
Williams syndrome (WS; OMIM#194050) is a rare disorder, which is caused by the microdeletion of one copy of 25–27 genes, and WS patients display diverse neuronal deficits. Although remarkable progresses have been achieved, the mechanisms for these distinct deficits are still largely unknown. Here, we have shown that neural progenitor cells (NPCs) in WS forebrain organoids display abnormal proliferation and differentiation capabilities, and synapse formation. Genes with altered expression are related to neuronal development and neurogenesis. Single cell RNA-seq (scRNA-seq) data analysis revealed 13 clusters in healthy control and WS organoids. WS organoids show an aberrant generation of excitatory neurons. Mechanistically, the expression of transthyretin (TTR) are remarkably decreased in WS forebrain organoids. We have found that GTF2IRD1 encoded by one WS associated gene GTF2IRD1 binds to TTR promoter regions and regulates the expression of TTR. In addition, exogenous TTR can activate ERK signaling and rescue neurogenic deficits of WS forebrain organoids. Gtf2ird1-deficient mice display similar neurodevelopmental deficits as observed in WS organoids. Collectively, our study reveals critical function of GTF2IRD1 in regulating neurodevelopment of WS forebrain organoids and mice through regulating TTR-ERK pathway.
-
- Computational and Systems Biology
- Neuroscience
Hypothalamic kisspeptin (Kiss1) neurons are vital for pubertal development and reproduction. Arcuate nucleus Kiss1 (Kiss1ARH) neurons are responsible for the pulsatile release of gonadotropin-releasing hormone (GnRH). In females, the behavior of Kiss1ARH neurons, expressing Kiss1, neurokinin B (NKB), and dynorphin (Dyn), varies throughout the ovarian cycle. Studies indicate that 17β-estradiol (E2) reduces peptide expression but increases Slc17a6 (Vglut2) mRNA and glutamate neurotransmission in these neurons, suggesting a shift from peptidergic to glutamatergic signaling. To investigate this shift, we combined transcriptomics, electrophysiology, and mathematical modeling. Our results demonstrate that E2 treatment upregulates the mRNA expression of voltage-activated calcium channels, elevating the whole-cell calcium current that contributes to high-frequency burst firing. Additionally, E2 treatment decreased the mRNA levels of canonical transient receptor potential (TPRC) 5 and G protein-coupled K+ (GIRK) channels. When Trpc5 channels in Kiss1ARH neurons were deleted using CRISPR/SaCas9, the slow excitatory postsynaptic potential was eliminated. Our data enabled us to formulate a biophysically realistic mathematical model of Kiss1ARH neurons, suggesting that E2 modifies ionic conductances in these neurons, enabling the transition from high-frequency synchronous firing through NKB-driven activation of TRPC5 channels to a short bursting mode facilitating glutamate release. In a low E2 milieu, synchronous firing of Kiss1ARH neurons drives pulsatile release of GnRH, while the transition to burst firing with high, preovulatory levels of E2 would facilitate the GnRH surge through its glutamatergic synaptic connection to preoptic Kiss1 neurons.