Functional Neurogenesis

It’s fun to zoom out and get the big picture sometimes. This is one such picture I took long ago when I wanted to see if staining for zinc transporter 3 effectively labels the mossy fiber axons of the dentate gyrus. You can see by the perfect overlap with calbindin that it does the job, though the staining wasn’t quite as bright and obvious as calbindin. The abundance of zinc in mossy fiber axons is one of the peculiarities of the DG and it underlies numerous synaptic properties of DG neurons.

I think the goal was to build on previous work by Lipp, Ramirez-Amaya, and Routtenberg showing that spatial learning causes “sprouting” of mossy fibers, though when I found out that this phenomenon does not occur in mice the project was aborted.

But what else can you see in this picture?

• clear differential expression of calbindin: DG (lots) > CA1 > CA3 (none), and a scattering of strongly-positive interneurons (e.g. 5 cells where CA3 and CA1 meet)
  • in CA1 you can see calbindin is expressed only in the lower band of cells (see hi res photo if needed; there is a ref for this, somewhere)
• a thin band of calbindin-positive fibers crossing the corpus callosum (CC)
• A small group of cells that are not contacted by the calbindin-positive mossy fiber axons (i.e. beyond CA3) yet do not express somatic calbindin (as seen in CA1). I’m guessing this may be mysterious and ambiguous field CA2.

A fundamental property of the hippocampus is its ability to rapidly encode memories while simultaneously keeping them distinct. Recording from hippocampal neurons one can clearly see that different populations of neurons are active as a rat explores two environments. This is thought to be one mechanism by which information is kept distinct in the brain.

For the last 15-20 years it has been thought that the dentate gyrus (DG), a major subfield of the hippocampus, serves to take small changes in incoming sensory information and orthogonalize them (i.e. make them more different). This idea was built in part on the fact that there are many more DG neurons than upstream cortical neurons. Thus, the DG could use completely different populations of neurons to represent different sets of incoming information and then pass on these representations to CA3, which may bind them into coherent events/memories (the interconnectedness of CA3 neurons, via “recurrent collatorals”, is thought to be a mechanism by which the different components of a memory are bound together).

However, a “problem” arose when Leutgeb et al. found that it is always the same population of dentate granule neurons (~1% of the total population) that are active as an animal explores different environments, even very different ones. This was a bit of a surprise. Still consistent with the proposed role of the DG in orthogonalizing information, however, was the fact that the DG neurons fired (i.e. generated action potentials, which transmit information from neuron to neuron) at different rates/frequencies in the different environments. Thus, changes in sensory information were represented by changes in patterns of activity within the same population of cells, not by recruiting different populations of cells. This is but one study – the question of how the DG encodes and extracts information is far from settled (e.g. what are the other 99% of granule neurons doing? Surely there is a situation in which they are active, no?). But the findings were robust and raise many questions, namely: How does the same population of DG neurons activate different populations of downstream CA3 neurons, during different experiences? Read the rest of this entry »

Dendrites are the extensions of neurons that receive incoming information. Neurons have primary dendrites that further split off into secondary and tertiary dendritic branches. On each of these branches are thousands of synaptic connections with axons of neurons carrying incoming information. The result is a dendritic tree that is capable of receiving and integrating a wide array of information within a single neuron. This is one of the neurobiological mechanisms by which different components of a memory are thought to be joined.

Neurons are not born with dendrites and spines – they are acquired during a developmental process that takes many weeks (see here & here). During early development, the pattern of formation of dendrites and spines are sculpted by experience, as might be expected if dendrites and spines are anatomical structures involved in processing and storing sensory information. While a body of work has emerged suggesting adult-born neurons are involved in memory and behavior, no one has yet investigated whether experience is capable of altering the dendritic development of these new neurons. This paper by Tronel et al. is therefore very important because it is the first to look at this phenomenon. They show a dramatic acceleration of dendritic development in response to learning, suggesting a potentially powerful role for new neurons in storing and processing information.
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Yesterday I was taking pictures of 1-day-old neurons, which was irritating me for several reasons. First, at this age they’re small, irregular and uglier than the mature neurons I’m used to examining. Second, very immature neurons are located amongst a mess of proliferating cells and fellow young neurons so it becomes hard to discern one cell from the next.

One positive thing that came out of looking at these very immature neurons was that I got the chance to see several examples of pyknotic (dying) cells. Older, adult-born neurons also die, particularly after an experience (see here and here), but it’s infrequent and hard to visualize. However, a relatively large proportion of new neurons die within a few days of their birth making them easier to find – the cluster of cells shown below is an example that caught my attention.

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Two recent papers have attracted a lot of media attention because they draw direct links between adult neurogenesis and behavioral disorders: Noonan et al. showed that rats lacking adult neurogenesis (stopped with irradiation) are more susceptible to cocaine addiction. Jin et al. showed that mice lacking adult neurogenesis (using a transgenic model) suffer greater infarct size and have more severe motor deficits after stroke.

While the papers themselves have important implications, what caught my attention was the angle taken by press releases: both articles studied the effects of reducing neurogenesis but the media focused on potential benefits of increasing neurogenesis. See speculation that antidepressants, by increasing neurogenesis, might be stroke-protective here. And, from Science Daily:

While the research specifically focused on what happens when neurogenesis is blocked, the scientists said the results suggest that increasing adult neurogenesis might be a potential way to combat drug addiction and relapse.

It may very well be the case that increasing neurogenesis is good in the same way decreasing neurogenesis is bad but it shouldn’t be assumed – maybe we have all the neurogenesis we need and, while completely arresting neurogenesis could be harmful, increasing neurogenesis beyond normal levels is just redundant. Read the rest of this entry »

I recently became re-acquainted with the neurogenesis literature while writing the last post, re-finding data in papers whose gist, but not details, I had remembered. I reached out a little bit, asking others if I had forgot any studies and indeed I had, including this study by Okano, Pfaff and Gibbs from 1993.

I’ve been interested in new neuron function since 1999 and so I’m actually quite surprised I missed this study until so recently. In 1999 the neurogenesis literature was so scant that it was easy to know ALL of the studies, even the early Altman, Kaplan and Nottebohm studies from the 1960s through 1980s. Even studies that were not interesting were interesting, because there was nothing else to read! So, had I known about it back then, I would have been pretty interested in this study by Okano et al. if only for its focus on cell cycle markers. But I really would have been interested in it because it has a small functional experiment that was way ahead of it’s time:

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Most studies of adult neurogenesis are concerned with neuronal age. Or at least they should be. This is because new neurons develop from a stage where they have no excitatory synapses to one where they have many. If we assume the traditional view that information is stored at excitatory synaptic connections, then young neurons are initially useless and only become physiologically and behaviorally meaningful when they have matured to a point where they can relay and process information. It is therefore critical that the developmental timecourse of new neurons be mapped out, so we know when new neurons become functionally relevant, or whether they might even have different functions at different ages.

Below are what I hope to be comprehensive visual collages of all published timecourse experiments, where a certain property of new neurons is examined at multiple (≥ 3) different ages. They are grouped by studies of: 1) cell survival, 2) marker expression, 3) functionality, and 4) miscellaneous studies that do not quite fit into the first 3 categories. I’ve ordered the data roughly chronologically and have included the first author’s name and publication year so you can read deeper, if needed. Indeed, if you know these studies already, a brief look at the graphs will bring back the take home message. However, since the data is stripped of text, if the studies are unfamiliar, you’ll have to go to the original source to figure out what the heck they mean (use Pubmed to at least obtain abstracts for the original studies if I didn’t provide a direct link).

Personally, I like timecourse studies for the same reason I like to have all my music albums or books visible at the same time: at a single glance they provide a lot of information – each individual stage of maturation can be interpreted within a bigger picture. The result of these many hours of work will either be a) that the purpose of adult neurogenesis will become immediately clear, or b) that we’ll all have some fancy collages to pin on our bulletin boards and look intelligent.

The survival timecourse

New neurons are born and then many die. The survival timecourse answers the questions: How many new neurons are born? Where are they born and where do they end up, anatomically? How many of them survive and can their survival be altered? Survival timecourses are typically performed by injecting animals with a mitotic marker that will label new neurons as they’re being born, e.g. ³H-thymidine (old school), BrdU (tried and true – example), or a GFP-expressing retrovirus (new school). At a later date one can then detect these birthdated new neurons and count them, see where they’re located etc.

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Studies of adult neurogenesis often begin with the following sentence: “Adult neurogenesis occurs in all mammals examined, including humans.” More detail-oriented papers might say, “Adult neurogenesis occurs in all mammals examined, including humans…but not bats.” Here, the similarities between bats and humans become more evident than one might expect: it could be an equally long time before we understand adult neurogenesis in either of these species. Bats are (relatively) easy enough to study experimentally, but how many studies will be required to understand why neurogenesis does not occur in the adult bat brain? With humans, we have the opposite problem: the one study in humans that used the unambiguous cell-birth marker, BrdU, found adult neurogenesis. The second study may never exist. Read the rest of this entry »

At 0.6% of the way into the decade, we’re well beyond the timeframe when most “things of the decade” articles appear. Now that “decade hype” has settled down I thought it would be fun to write a series of posts that discuss some of the major themes in adult neurogenesis over the last decade. A lot has happened in this time; depending on how you birthdate the field (i.e. not counting the work of Joseph Altman), the last decade represents over half the lifetime of the field. BDHXV8966V35

One very influential theme that emerged, only to gain momentum, is the neurogenesis-depression hypothesis. Generally, the idea is that adult hippocampal neurogenesis is protective against depression. This idea was initially quite novel because, 10 years ago, most people were fixated on the hippocampus as a structure involved in learning and memory. Indeed, it’s not implausible that the ability to form rich, detailed memories (which the hippocampus is known for) could enable one to make associations and see perspectives that allow them to escape a depressive funk. But more direct evidence linking the hippocampus to mood has come from studies showing that manipulations to the hippocampus alter stress and anxiety-related behaviors. Read the rest of this entry »

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I’ve always enjoyed making lists. As a kid I can remember writing lists of rhyming words, lists of all the Ocean Pacific clothes I owned, lists of all the people I knew. Many years later, I hope I’ve now made a list that is actually useful.

Adult neurogenesis is now undisputed. Pretty much on a weekly basis there is a new paper that examines both levels of adult hippocampal neurogenesis and behavior, attempting to draw a functional connection. The good news is that the argument for a behavioral function for adult neurogenesis continues to get stronger. The bad news is that there’s a massive pileup of data, and it’s becoming hard to filter through the relevant studies – first you have to find them amongst the 1000+ studies of adult neurogenesis. Then you have to read them. What behaviors are examined? Is there an effect of reducing or enhancing neurogenesis? What method is used to manipulate neurogenesis? What do other studies find that performed a similar analysis? Read the rest of this entry »