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00:00 Okay, welcome back. This is , cellular neuroscience lecture too. And

00:09 finished last lecture by briefly reviewing the and why what I explained to you

00:18 the slide. As today we're gonna about neurons and glia and start understanding

00:25 functions and different subtypes. But one that I mentioned is that there are

00:30 neurons that express neurotransmitters which was sanitary, neurotransmitter, gaba inhibitor neurotransmitter

00:37 are widely distributed throughout the brain. so much a widely distributed throughout the

00:43 , you'll find them in the brain and the cerebellum and the spinal cord

00:47 the cerebrum. And these are what consider amino acid neurotransmitters. However,

00:54 are other ways of chemical communication and brain and those are what we call

01:01 modulators. And those neuro modulators such acetylcholine, such as norepinephrine, such

01:10 serotonin. They expressed by a very subset of cells that we typically refer

01:17 as nucleus nucleus by definition is a of the cells responsible for the same

01:23 very similar function processing the same single in this case expressing a specific specific

01:33 with very locally in this nucleus and the external projections that will essentially release

01:39 neurotransmitter broadly throughout the brain. So is where we ended last last week

01:52 today we're gonna move into this material be for the next three lectures when

02:02 talk about neurons and glia And neurons about 10% of the total cell mass

02:12 population if you, may. It's fine without cutting anything off and 90%

02:34 the south will be glia. The 90%. So most of the neuroscience

02:39 always say has focused mostly on neuron and only the last couple of decades

02:45 seen an increase in studies on It is because glia have been thought

02:49 a long time as passive in the of not contributing much to the active

02:55 or processing of that activity in your . And we're finding out that that

03:00 not be the case that we are fact, as we mentioned last time

03:04 a part of the tripartite synapse and influence synaptic transmission and neuronal communication.

03:12 it is operating at slower temporal scales neurons are very fast and they communicate

03:19 each other within milliseconds. Uh Glia take tens of milliseconds, hundreds of

03:26 to have their way of communication sometimes longer because certain types of we are

03:32 in regulating inflammatory processes in the neurons then can be described like chips

03:40 a chocolate chip cookie glia is like but it's not passive again without leah

03:47 wouldn't exist, wouldn't survive and be to migrate and have the installation.

03:52 need the nutrients and the protection they from Julia as well as the active

03:57 of these neurotransmitters, neurons in the are roughly divided into excitatory and inhibitory

04:08 neurons will be expressing glutamate and releasing that glutamate will typically have an excitatory

04:16 on the pasta Matic neuron that will to excite that pasta, Matic neurons

04:21 inhibitory neurons they express and release gamma you know butyric acid or Gaba.

04:28 if you were to stain the brain would see a lot of excited to

04:33 lot of inhibitory neurons that would stain for blue domain or that would stain

04:39 for Gava or an enzyme that regulates called God these are amino acid

04:48 They are responsible for fast neural As I mentioned last time when you

04:54 of glutamate and Gaba you can think plus and minus or switched on excitation

05:00 off inhibition all of these other chemicals we described like serotonin, norepinephrine and

05:07 add a lot of color, a of control to that on and off

05:12 . You can have if you have analogy with lights and dimming switch different

05:16 , turn on and off, different of the room eliminated differently. And

05:20 what these other non amino acid neurotransmitters to the general communication in the

05:28 Now there are ion a tropic and tropic receptors that we'll discuss when we

05:35 to the um cell membrane. Talking cell membrane but in general uh in

05:43 cell number and when we talk about and protium channels and some of them

05:50 receptor channels and others are receptors but channels. We will have to distinguish

05:55 different ways in which these channels can activated. Okay, so we will

06:01 today a little bit about the types channels of ion channels. And this

06:09 very important because this is how the happens between neurons and this is how

06:16 flux of ions happens within neurons in out of neurons and generating the fast

06:22 als for neuronal communication. So if look now in much greater detail,

06:31 simple way of describing the brain neuronal and excited to an inhibitory is simple

06:38 some of them also will have serotonin others will have that. We talked

06:45 these nuclei right? And it's also it's just not one subtype of excited

06:52 , not one subtype of inhibitory And there are overall maybe 150 subtypes

07:00 different neurons. The variety of glial is not as abundant as their

07:09 And so in variety there are illegal sides that are shown here and as

07:16 can see a legal de emphasize will around their processes and create myelin ation

07:24 insulation to neuronal axons. And this is really important because if you want

07:31 conduct electricity through a wire, you wires that are insulated. So are

07:38 neuronal axons are insulated so that they electricity to the particular specific locations and

07:46 over long distances without losing the charge without losing the current a little dangerous

07:54 . Each foot or beleaguered underside will a single axonal segment on neuronal

08:03 Astra sides. A very important some of real cells that will talk about

08:10 more than other subtypes of real And astra sides is illustrated here.

08:16 can see that they're actively involved in the activity in neuronal processes in particular

08:24 the synapses that are happening there. third part in the tripartite synapse that

08:30 talked about. Astra sides decides controlling synoptic transmission also regulate and um buffer

08:43 increases in ion concentrations, abnormal increases chemicals. And they also have a

08:50 of transporting glutamate uh and working and synthesizing that glutamate and glutamine before giving

08:58 back to the excitatory neurons. Astrocytes have their end feed these processes here

09:06 the capillaries and these are the blood of the micro capillaries that are innovating

09:12 brain tissue throughout. And astrocytes are of what is called the blood brain

09:18 . So these glial cells will be policing and controlling what substances get in

09:26 the blood into the brain and potentially other way around there's a tight control

09:32 not everything that's in the blood gets the brain. Very small molecules,

09:38 soluble molecules. They will be able cross the blood brain barrier and get

09:44 the astra sides. Cross the astrocytes into the brain tissue molecules that have

09:50 transporters, facilitators that can carry them the blood brain barrier will get into

09:56 brain tissue. But otherwise there's going be a pretty significant barrier or filter

10:06 you may that determines what stays in blood and what crosses into the brain

10:13 smallest and the fastest and the most glial element in the brain of micro

10:19 cells, they're involved in injury So if there is an injury locally

10:26 the brain tissue, micro glial cells mobilize their processes and will direct their

10:32 toward the side of the injury and will also physically start migrating through brain

10:38 toward the side of the injury. glial cells will be concerned with the

10:44 of pro inflammatory molecules that we call . So michael glial cells says,

10:51 inflammatory immune response in the brain, would be activated if there is injury

10:57 the brain, they would be activated there is an infection in the

11:01 And very much again, on a a slower tempo scale, we're now

11:09 about minutes to hours for microbial cells activate their processes to extend them to

11:16 migrating and controlling the amount and release the cytokines for the proper activation of

11:22 immune response. So you have the spinal fluid here in cerebrospinal fluid is

11:32 in the ventricles that is circulated throughout brain and enters into interstitial spaces as

11:40 . But the extra cellular fluid that seeing here is different from the intracellular

11:46 that is going to be found inside south in general. The inside and

11:51 of the South are water like they're saline water like environments. Especially

11:57 outside of the Southwest. Salty is in sodium chloride. The inside is

12:02 a little bit more bitter. It's with potassium mines. But both of

12:09 extra cellular environment and inter cellular environment Aquarius solutions. Now there's many different

12:16 by which we can classify neurons. of all neurons come in different shapes

12:22 sizes. So we can uh we sub classify them and classify them based

12:31 their anatomy or morphology of how these actually appear. Some of them will

12:37 dendrites, multipolar selves, Others will two axons, a peripheral and the

12:45 axon and no damn dried. So can distinguish different cell subtypes based on

12:51 morphology. We also can distinguish them on their projections or connectivity. Certain

13:02 will remain local within the network and cells that remain local within the network

13:11 refer to as into neurons and they interconnect with other excitatory cells and

13:18 Sir, typically inhibitory and excitatory cells as pyramidal cell, an example of

13:25 excitatory cells. Excitatory and these inter can talk to each other so inhibitory

13:32 inhibitory interneuron can talk to another inhibitory and they can talk to another excitatory

13:42 and these inhibitory neurons will release Gaba the excitatory neurons will release glutamate.

13:52 the inhibitory neurons versus excitatory neurons. versus glutamine. Now these inter neurons

14:02 actually going to exert their activity locally a certain neuronal network. That means

14:11 their projections are going to be short projections around it. All cells that

14:17 typically excitatory will actually have long And those projections will come outside of

14:25 local neuronal networks and will interconnect to nerve neuronal structures. So we can

14:35 neurons based on their connectivity, whether are projection cells or whether they're inter

14:43 . And just by virtue most of inter neurons are inhibitory and most overwhelming

14:51 of the projection cells are excitatory So this is another way of classifying

14:59 , excited versus inhibitory. Different cells also express different subset of genes.

15:08 when I said that there's 150 potentially subtypes of neurons. That's because they

15:15 have a slight different expression of the channels chemicals some of them will

15:23 their opponent, others will express a gaba glutamate, this is all

15:27 variety. And these, what we ourselves specific markers. But we'll get

15:33 that in a second. Uh Finally produce action potentials. These are very

15:42 large amplitude fluctuations, large amplitude for south. There are approximately 100 mil

15:49 all fluctuations in over a matter of or two milliseconds and these different some

15:57 of neurons by having different anatomy expression molecules within themselves, expression of ion

16:08 . They will also have their own firing properties or firing patterns as we

16:15 it. Mhm. This is the published action potential from Hodgkin and

16:24 It was recorded in the late And we really just discovered and were

16:31 to capture and record these action potentials the late 30s, mid 40s and

16:35 50s. So based on the previous of the history when ramon alcohol was

16:43 those beautiful drawings reconstructions of the south camera lucida uh He did not know

16:51 the cells neurons can produce action He knew that they can conduct electricity

16:59 they can generate and conduct electricity. didn't know because there were no tools

17:06 enough to pick up action potentials and neurons. Most neurons have four functional

17:16 despite their differences, they will have infant region. So one neuron contacting

17:23 neuron, there's a sensory neuron which be picking up information from the

17:28 joints or muscles, motor neuron communicating another neuron. Local inter neurons projection

17:37 neurons. So yes, there are projection into neurons and nora neuroendocrine

17:45 You have integrated region which is typically selma of these neurons. You have

17:50 conduct I'll region which is the So the receptive region of the input

17:55 is typically dendrites or selma's, the . I'll aspect of neurons is axon

18:02 electricity and the output is the external . The output in this case is

18:08 the form of chemical release neurotransmitter release that release can happen on to another

18:17 onto a muscle even on a capillary or in more general terms in the

18:24 the uh systematic circulation. As a with a neuro endocrine system and neuroendocrine

18:34 which will actually influence the overall systematic influenced hormone release. Yeah. So

18:43 and projection to neuron. Is that it's the difference of the neuronal

18:47 Um but it was still probably like sale but it was just.

18:52 Yes. But it's also an exception every science and in neuroscience are always

18:59 . So when we say that excited of projection while there are some in

19:03 neurons that are projection cells. So say that gaba cells are all inter

19:08 that are localized. There's actually some very cells that are localized overwhelmingly.

19:15 is that these are the rules by we understand the brain. Good

19:24 So morphology you can see that some the salsa unit polar, they're all

19:31 to the same poll dendrite and axon looking off cell bodies at the

19:35 Some of them are bipolar which is cells of retina. Others of pseudo

19:42 sudo. You know polar cells are neurons that travel and carry the information

19:47 the spinal cord proper. Then you multipolar cells you have an example of

19:54 motor neuron which is multi polar parameter in the middle which looks like pyramid

20:01 is multi power. And on the you have a poor Kinji cell which

20:06 this massive, massive sell the massive branches of the cell that you

20:15 find in Sarah Bella and it can up to 150,000 synapses. And so

20:23 of the synopsis will be made on dendrites and dendritic spines on the soma's

20:29 these cells. And some other cells spinal motor neuron can have only or

20:35 have typically only up to 10,000 Despite the difference 210,050. There's still

20:46 pretty complex computational task. Out of 10,000 synapses, 80% could be excitatory

20:56 . Uh 10 - 20% could be analysis. So the processing and the

21:05 that neurons have to make is still of thousands of excited to inhibitors.

21:10 active at the same time. Plus neuro modulator chemicals that are active and

21:17 the activity in in in that particular whether it's going to produce an action

21:22 and communicate that information or be quiescent a while. So when we put

21:28 of this together, I'll remind you in your lecture notes, if you

21:36 to the content to the class content this is information that I'm actually supposed

21:46 share with you this case. We're about all of these different subtypes of

21:56 that we discuss? All of the subtypes of inhibitory cells and solitary cells

22:02 how do we distinguish between them? can we tell the difference? I

22:08 there's 150 different types of neurons. then I said well there's some

22:13 some norepinephrine, some colon glutamate But that's only a handful. That's

22:22 150. So how come there is 150 or more subtypes of neurons and

22:29 is this variety of diversity stemming And we use this circuit as an

22:37 that illustrates some of what we call circuits. Some of the canonical rules

22:46 which these circuits in the brain communicate structure that we're looking at in particular

22:53 a part of the hippocampus. For in the brain is responsible for semantic

23:03 , semantic memory. Is facts. , events, history, stories.

23:14 this is the kind of memory that processes in codes and recalls semantic

23:24 The hippocampus is also involved in emotional processing. The campus is predominantly a

23:33 layer structure that has stratum ready item top stratum and stratum orients and if

23:44 looked and we did a stain in . And this is a part of

23:50 . A one area which stands for ceremony area one or demons horn area

23:59 C. A one and there are areas in hippocampus is this is just

24:04 area of the structure in the brain the hippocampus. If we were to

24:10 glutamate stain Gabba stain and take this of hippocampus and stay in all of

24:18 excitatory cells that have glutamate all of inhibitory cells that have gabba We would

24:25 out that about 80-90 of cells in circuit. And actually because this is

24:35 circuit, this will be also applicable neocortex. For example hippocampus is a

24:42 layer construction is referred to as our cortex because it's three layered structure arcade

24:48 but the same principle would also apply the new cortex or the neocortex which

24:55 our cerebral cortex. Also 80-90% of of the cells. And the circuit

25:01 be excitatory cells and 10 to 20 be inhibiting ourselves. So the brain

25:15 the cortical centers and the hippocampal centers by the abundance of the excitatory cells

25:24 numbers. How about the variety and do we get to that variety?

25:32 , one of the most canonical Again, it's canonical because it reappears

25:41 different places in the brain is the cells, parameter cell has the demo

25:49 , it has the axon it has dendrites at the base of the

25:54 it has a pickle den rides at apex. Okay. And this is

26:02 base and this is the axon an would be violin ated with a violent

26:10 throughout and this is the external terminal this is where the neurotransmitter release

26:20 So we have this parameter cells and parameter cells are excitatory projection songs.

26:29 in Hippocampus overwhelming majority of them, , of these 80 90% of phenomenal

26:37 will be located in stratum from the . In this wide strip you can

26:43 this white layer strip layer. The layer stratum stands for layer from the

26:50 stands for criminal. It's called so it's overwhelmingly populated by the soma or

26:57 bodies of the criminal cells. So camerata above you have stratum radiate um

27:05 the radio bottom layer below you have orients or the orient slayer. This

27:12 just one piece of hippocampus. One C A 13 dominant layers dominant cells

27:21 number excitatory cells. Most of them living in the strip layers stratum berman

27:28 . They will be releasing glutamate so sauce or make releasing sauce and they

27:39 about the same. These are the cells that you're seeing here parameter

27:45 So this parameter cell looks the same this parameter sell this parameter cell looks

27:50 same as two other parameter cells. not much difference in morphology. You

27:55 say that maybe the one in stratum adam looks like it would have a

27:59 of them drive saying okay but then will find some cells that have so

28:05 stratum criminality that will also have a bit shorter. Done rise to say

28:09 you really they look the same. morphological e if you were to take

28:15 criminal cell subtype that is shown here lighter color to darker color. You

28:22 not be able to distinguish them So the only way that you would

28:28 able to distinguish them will say you what they don't they? They there

28:33 three layers so they live in three layers. Okay, chuck moore.

28:38 importance of where things are located the architecture. But this this sample the

28:44 thing is what do they express and cells will express certain molecules. They

28:51 express calcium binding programs. In this it's cal dependent or C.

28:57 Which is a calcium binding protium. some parameter cells will be positive for

29:03 din Din and others will be So they look the same. The

29:09 is they live in three different layers some of them are called indian

29:15 Some of them are negative. The that are in the layers seem to

29:17 in for a middle layer seem to dominated by being positive by kelvin.

29:23 that's the difference in three subtypes of sets. So this is somewhat uh

29:33 . There is not that much variety in the excitatory cells but it also

29:39 demonstrates that these excitatory cells will send axons or projection axons and these axons

29:46 actually go outside of areas they want go outside of the hippocampus. So

29:53 projection south long range that will come and interconnect with another adjacent area of

30:00 hippocampus. Or the cortex against original which is close to the hippocampus.

30:07 now you're also seeing on this diagram 1, 23 all the way through

30:18 and you're seeing cells that are shaped and now you're seeing a variety of

30:25 . So what is this? 21 for All of these 21 subtypes of

30:33 will stain for Gaba or God is enzyme that synthesizes Gaba. So now

30:42 looking at the inhibitory neurons, their , they will synthesize Gaba and God

30:53 an enzyme that makes Gaba. So you were again to look at this

31:04 subtypes of cells, whether they say , you can look at 19 or

31:09 it doesn't matter, they all be for God and gobble. But if

31:17 do a stain like a Golgi we talked about how Golgi stain will

31:26 the morphology, precise morphology. And can see that there is not much

31:32 in morphology and parameter cells. But you look at this 21 different subtypes

31:36 cells you see that some of them dendrites that are pointing vertically. Others

31:43 dendrites that are pointing horizontally. Others dendrites that are kind of a split

31:52 pointing also vertical directions. And finally yellow cups are the synopses. So

32:01 is the location of the synapses where inhibitory cells where these inhibit their cells

32:08 going to synapse onto the excited very some of them will synapse at the

32:15 . But a lot of them will inhibitory projections will be located very close

32:25 the soma. Soma is the decision region, the integrated region which will

32:30 a lot of negative projections right around soma which has very strong influence and

32:37 activity in these excited to ourselves. these as you can see some of

32:44 yellow cups are the synapses that will a pickle dendrites. Some of these

32:50 cups like in number two and number will target the paris, somatic regions

32:56 the excitatory cells. The closer you to selma, the more influence you

33:02 of what that cell is going to because Selma integrates information from these 10,000

33:11 and acts on initial segment is where action potential is generated. So the

33:17 you are to influencing the integration and of action potential, the stronger influence

33:25 have of what this other cell in case excited to sell is going to

33:30 . But as you can see some the synopsis on the selma, some

33:35 them are optical, some of them the basal dendrites. That's already a

33:40 difference. So we can tell by of the dendrites location of the synopsis

33:47 of the soma. So that already us a clue we're looking at potentially

33:51 subtypes of inhibitory cells. Then you to this point where you're looking at

33:57 number two and number four. And you look at the morphology of these

34:04 cells, they look the same. have rounder. So hmas that are

34:09 in pyramidal layer, they have dendrite here that are projecting vertically and they

34:19 all of their axons. Number Number four targeting the same region of

34:24 cells then you ask a question. are these two different subtypes of cells

34:29 not? And if they are how you distinguish these two different subtypes of

34:34 ? And the answer is that you to stain them for these cells specific

34:39 . Just like we talked about cal in certain parameter cells express Calvin din

34:45 others do not which makes them to subtypes of parameter cells. The same

34:50 these number two and number four inhibitory cells. Number two will be a

34:58 cell we call it a basket cell it's really cool. It's axons looks

35:03 a basket that wrap around the parameter cells. And number four is the

35:09 CCK cell. So number two is volume and positive that will express this

35:15 per volume in or PV and number will express CCK which is called the

35:22 kind and and potentially another marker such v glued three and you can get

35:28 more and more and more markers is more differences. So now you have

35:34 the slides first of all with glutamate Gaba you saw that there's a lot

35:39 glutamate cells not much variety in the cells that send the information out and

35:46 lot of variety in the inhibitory cell . So most of the variety than

35:53 this neuronal subtypes in the cortex. because its canonical will be the same

35:59 the hippocampus, in the hippo capital , three legged cortex and neocortex six

36:04 cortex. You have abundance and variety inhibitory cells over the excitatory cells.

36:14 this is it's no there's lesser there's 10 to 20% of those inhibitor into

36:24 . But they come in many more . And the final thing to mention

36:31 their activity will stay local. They influence parameter solid excited to sell locally

36:38 the C. A. One. will not project out of the

36:40 One. So there's a lot of in how they can influence the excitatory

36:49 cells that are going to communicate and that information out of the sea a

36:54 region. So it's a lesser number variety. And if you have a

37:02 variety in anything life is more Um So if you just had two

37:09 that would be boring, you know . But if you can have a

37:15 of flavors and you know this is variety of internet as a processing in

37:20 brain becomes more complex that it allows to have more complex processing. But

37:26 is just looking, we haven't gotten the activity yet. We're just looking

37:31 cider architecture where the cells are We're looking at their morphology. We're

37:36 at whether they're excited or inhibitory we're at their synaptic connectivity, the projection

37:44 and whether they have a specific marker not. But because they're different cells

37:50 because they actually have different channels that express, they can produce different patterns

37:58 action potentials. So this is now Neocortex. Neocortex is a six layered

38:04 and if one were to record from variety of adjacent cells that would first

38:09 all find out that most of these that have unique patterns or what we

38:17 this is a stuttering pattern. This delayed firing, this is bursting

38:23 These unusual patterns are typically the inhibitor neurons and it's coming from the inhibitor

38:32 neurons. Whereas the classical parameter this is a classical accommodating pattern from

38:39 parameter cell, it's right here and three subtypes of parameter cells will have

38:46 same pattern of action potential firing. classical accommodating pattern of action potential

38:53 But the diversity in the firing patterns action potentials comes from the inhibitory into

39:01 in the hippocampus in neocortex and in , so it's as if excitatory cells

39:08 a very robust code, I'm on I need to communicate it to somebody

39:14 but the inhibitory cells have the ability modulate the output of that code and

39:22 it's given out to the adjacent brain because inhibitory synapses if there's a lot

39:29 inhibition it will actually hyper polarize this will quench activity in this neuron will

39:36 allow for this neuron to fire an potential and project information out.

39:45 So these are examples of recordings that show in my other course and some

39:51 the slides are also from my other . That's because they're not in the

40:00 there in my notebook and there in papers. This is some of my

40:05 that I've done at George Mason University a post doc and later at the

40:12 of Houston here. I'm sorry about . So what we have is first

40:18 all this image here, it shows we have neurons that we can

40:25 We use the infrared microscopy technique to brain slices. We put these slices

40:31 a microscope, we have the environment these brain slices that resemble environment of

40:36 brain. So we try to fool as if they're still part of the

40:40 , they're viable and respond. They action potentials activity for hours If they're

40:46 in the correct environment with artificial cerebrospinal as well as oxygen. Um you

40:54 see that we can place these slices individual neurons and direct micro electrodes.

41:02 a typically bora silicate micro electrodes that have inter cellular solution inside of them

41:08 supposed to match this electorate solution is to match the inter cellular solution of

41:13 cells and we can patch onto these . It's called patch clamp technique.

41:19 talk about it in a little bit we can basically stimulate these student neurons

41:25 these micro electorates and record their responses the form of that membrane potential

41:31 And in the form of the action firing patterns. And these two neurons

41:37 get the same input. And the on the left here produces a very

41:44 firing frequency of action potentials. And neuron on the right it receives the

41:49 same input electrical input through the same of electrode micro electrode. And instead

41:56 produces this what we call a classical or parameter like cell firing pattern.

42:08 so during the experiment inside these electrodes have a die in the older versions

42:15 was used to be called biocyte in called neuro biotin. Now. So

42:22 the experiment as you're recording activity from two cells that die leaks inside these

42:29 cells and you do that for a . So after you finish the experiment

42:37 have to prove the reviewers what cell did you record from in the

42:47 one of them fired you know and like manner here another one fired a

42:54 fast frequency like that of action Which one which which subject is exactly

43:02 you looking at? So the dye enters into the cells during the experiment

43:09 can take the slice after the experiment put it through um you know history

43:15 and you will reveal without die the morphology and the location of yourself on

43:22 slice. So you can see here this is S. R. Which

43:26 for stratum ready atom of that parameter piece. This is stratum pyramidal of

43:34 parameter layer. This is stratum So after I finished the experiment I

43:43 through um you know history chemistry but not enough to know morphology.

43:48 Because we said if you want the answer sometimes the cells will look the

43:54 . Exactly will fire maybe even the . And they do in fact have

43:59 same external projections. So how do know which one? So finally we

44:04 to make sure we use immune artistic and we use antibodies. So we

44:10 them for PV. Which is part albumin. We stand them for some

44:13 a statin we stained them for B. Which stands for neuro

44:19 So you can do multiple marker stain these slices to make sure that all

44:26 this work that you have done with . This is typically wrote them slices

44:32 the slice is under microscope all of work that you did to get to

44:35 experiment show something that you can answer question to. The reviewers. So

44:42 a biotin will allow you to reconstruct precise morphology of the cells and their

44:48 in the network. You know which it is. You know what the

44:52 look like. You know what the look like. And the one on

44:55 right looks like parameter cell and the on the left does not look like

45:00 parameter cell. So because it doesn't like a parameter cell and I targeted

45:08 non prom it'll sell in that particular . I actually targeted cells that are

45:13 for some odd A statin and that called number seven here all L.

45:21 . Cells that stands for orients la elam cell is number seven. It

45:31 its axon travel all the way from orients layer to this fourth layer which

45:38 didn't tell you about which is So it has this very very long

45:47 that projects out and targets the optical of these parameter cells. And I

45:55 thought that when I look at these they look oblong and I always thought

46:00 I just had a kind of an for for these cells and the network

46:06 pick them off. And so I quite a bit of work in describing

46:10 electrical interactions between all alarm cells and cells in particular during seizure like

46:18 When neurons start generating seizure like So we looked at a lot of

46:23 and so surely enough, this is semantic statin positive alarm cell on the

46:30 , on the right. You have the right, you have a parameter

46:35 and the reviewers except the paper. really interesting paper to representation of this

46:52 here. The one is on its morphology and when you do the fluorescent

46:58 , then you just typically detect the . You don't go for higher resolution

47:03 you want to make sure that the like alarm style that I reported from

47:07 it is and I filled with no . I want to make sure that

47:12 cell is gonna stay positive for no . So I know it's my cell

47:16 all the others around they don't get . Only the ones that get the

47:21 is um started and then get So I know that's my cell right

47:25 . I'm going to use a second since I know this is my neural

47:29 sell and what is going to be second market. And in this case

47:33 been on some kind of staggered which S. O. N. And

47:37 was some kind of sacrifice and because located in this life and because it

47:41 this that it matches up to other work and to the diagrams that we're

47:47 previously for us to say definitively it all around south. Okay. How

48:00 of the electrode electrode, you actually you don't leak out anything. Um

48:12 that when you patch your cell. , let me take it back a

48:16 bit as you're approaching yourself a patch with micro electrode. I said you

48:21 look out, you leak out a small amount of that die. But

48:26 guy doesn't get picked up extra cellular well by the surrounding neurons. So

48:32 the neuron that gets patched and you on top of patching you sometimes have

48:38 pulsate the positive and negative current because the movement of ions inside and outside

48:45 electric and it will actually propel the . Were saying when you finish the

48:51 , like I measured the action potential seizure activity. If I have the

48:56 say make sure you fill it And that means that I was gonna

49:01 stepwise currents, electrical currents positive and to just move things in and out

49:06 the electrode into the south. And when it's completely filled and that's when

49:11 reveal really good and morphology And sometimes know, and sometimes you you don't

49:18 this lucky and sometimes you know out 20 cells you record and failure reconstruct

49:25 and artists you're just not lucky, something didn't exposed died in. It

49:31 look the slides bent over and now not sure like the cell is bent

49:37 and you have to realize it's a it's a bit of a, you

49:41 , it's a skill and an art then you have to reconstruct them.

49:45 to reconstruct them ramon, alcohol. to use this uh microscope with a

49:52 set tube to do the reconstructions of called camera lucida. And now you

49:59 project this image onto the computer from microscope and you trace around it and

50:07 is a certain level of automation in lucida. But it's not perfect.

50:15 means that there's still a human element tracing these neurons except you know,

50:20 not sitting under a set of you're just looking at the computer screen

50:24 a mouse you know. But the is the same is a reconstructed cells

50:30 Harmonica Hall did but he did it Golgi stain. This is a different

50:35 , this one and this one we exactly what cells pick it up.

50:38 the south in which we inject or biocyte in. Yeah, good

50:48 Alright, phosphor lipid bi layer. why are we going to talk about

50:53 ? We're gonna talk about it because gonna talk about a little bit about

50:58 structure of neurons and how they have excited inhibitor synopsis. And then we're

51:06 wait and then we're gonna move into communication of neurons. But so let's

51:13 a little bit of some basic stuff as a reminder for some of you

51:18 are surrounded by plasma membrane. It's phosphor lipid bi layer possible, lipid

51:23 layer is composed of fossil lipids and have their hydro filic heads. So

51:32 is the head which likes water. polar charged and is attracted to this

51:38 environment on both sides of extra cellular and the inter cellular environment. And

51:45 it has a hydrophobic tails. And are fatty acid tails that come inside

51:54 form the inside part of the phosphor by later in the phosphor lipid

51:59 you have cholesterol that's embedded and cholesterol for tighter interactions of the foss Philip

52:08 and a lot of times influences the of like the structural plasticity of the

52:16 lipid bi layer. Then you have literally illustrated here that are very important

52:24 self cell recognition. You have carbohydrates sugars. So cells all cells and

52:32 are like sugar coated with carbohydrates and you have proteins that are recognition

52:40 You have receptor proteins and you have proteins. And so when we talk

52:47 neurons, what's, what's really important understand is that this phosphor lipid bi

52:54 is fluid, this and the the the proteins, the channels can move

53:04 possible lipid bi layer that this forceful bi layer will allow for the lateral

53:11 of these structures, basically of protein structures through the phosphor lipid to travel

53:18 the south underneath the phosphor lipid bi is supported by the side of skeletal

53:25 . And these side of skeletal elements arrange rearrange. Ellen gate shorten themselves

53:34 themselves in higher densities stack themselves in densities. These side of skeletal elements

53:40 the overall shape and hold up the shape of the plasma membrane. And

53:46 if you rearrange the side of skeletal make them really sparse. For

53:52 the membrane may dip. It may have enough support and may start rearranging

53:57 the fossil lipids may exit out and themselves in in in in the slightly

54:04 um situations here in the membrane there's dependent process, meaning that as the

54:14 get activated as these receptor channel proteins activated by chemicals. This fluidity and

54:21 movement of molecules and the movement of across membranes will also be influenced.

54:28 you have shaping of the movement and of what structures are found by by

54:37 . Yeah. Side of skeletal We have micro tubules, neuro filaments

54:43 micro filaments. So micro tubules are largest elements and micro filaments are the

54:50 elements acting molecules make the micro filaments active molecules can prelim arise together and

54:58 into longer chains. Or they can broken up or they can depolymerization to

55:03 chains and active molecules will be located the outermost address of the plasma

55:10 So they are the most small and most mobile side of skeletal elements.

55:15 there is more support needed, they'll up their chains and their lattices to

55:21 the membrane and likewise, they can depolymerization to shorter chains. Lesser densities

55:28 these lattices. Um provide less support the plasma membranes. Micro tubules is

55:35 here is a cross section through the and as you can see this is

55:42 that surrounds the axon. This is layer so it's like sheets of

55:47 This will be the likud emphasize We talked about the wheel cells that

55:52 wrap around the axons. So you'll layer upon layer layer upon layer of

55:58 installation of myelin. This is the inside of the axon amazon myelin.

56:06 inside the axon you see these lines and they almost look like these very

56:13 blood vessels. But they're not blood . They are micro tubules and micro

56:22 are very important for cellular transport. there are larger elements. The larger

56:29 elements, the closer to the core the soma and nucleus are going to

56:34 found. The smaller the elements like filaments are acting as the the further

56:41 they will be in the distal regions support the outer edges of the plasma

56:47 . The micro tubules will be responsible transport. Ectoplasmic transport, cellular transport

56:55 general, but mostly concentrated around the . Where actually a lot of things

57:01 by synthesized, produced and need to transported out of the selma or brought

57:06 into the selma. So, you decided skeletal elements. And before we

57:18 into I want to see when I to talk about the ion channels.

57:21 think I'm actually gonna wrote it on board. But I'm going to talk

57:25 ion channels maybe in the next But let's talk about something that is

57:31 to neurons. So this is not to neurons. You know, axl

57:36 transport micro tube side of skeletal This is not unique what is unique

57:41 neurons as axons. Action potentials. then you say okay but then there's

57:47 there's muscle action potentials. Yes there . But eurostar, the fastest action

57:53 . Okay, so what else is to neurons? Dendrites and dendritic

57:58 These processes information of the synopsis, number of the synopses that are being

58:05 . The amount of time, the by which neurons can integrate and process

58:09 of that information. That is that what is unique. Some neurons

58:15 when we talked about those frequencies of potentials. Karam it'll cells will typically

58:21 the excited or parameter cells will typically three to 10 births, their action

58:33 and inhibitor inter neurons can fire up 600 action potentials a 2nd, 600

58:49 . So some of these cells are fast. They can produce very fast

58:55 of action potentials and others are But you can't imagine that there's nothing

59:03 I can think of that is that that is faster apart from maybe I

59:11 know, vibration, McCann oh, processing in the air and the

59:21 Um But no other cells that are sensor in the tissue that I can

59:30 of that can operate at speeds like . And so inter neurons are not

59:37 a variety of cells, it's also variety of firing patterns, variety of

59:42 . Which is very important because inter can be slow, can be stuttering

59:47 be bursting can be super fast. a variety which will contribute to the

59:54 of processing that we can do. so now what's very important is with

60:02 discovery of the election microscopes we were to visualize the synapse is. Most

60:07 the synopsis on neurons are formed on dendritic spines. So dendrites will have

60:14 protrusions that are only about the Dendritic shaft is about one micrometer in

60:20 . So these protrusions can be one meter to two micrometers in length and

60:25 thinner than one micrometer in diameter. referred to as the spine. So

60:31 is an electron microscope image which shows pre synaptic terminal in red. And

60:36 round organelles are vesicles that are going be filled or are filled with

60:44 If the axon is excited, external and deep polarization external terminal will cause

60:50 fusion of these vesicles. The release the neurotransmitter into the synaptic cleft is

60:56 space of about 20 nanometers that separate neuron from another. And then these

61:02 will buy into the post synaptic receptors are located in post synaptic density.

61:06 D. N. Stands for dendrite stands for post synaptic density. And

61:12 you can see there are mitochondria in dendritic spines. There's also in the

61:19 spines complexes and that's important because they energy. Dendritic spines, mitochondria because

61:31 have Paula ribosome complexes, they're capable post translational modifications right there at the

61:39 of the dendritic spine without going back the summer and saying, hey I

61:45 this and that to a certain So there's somewhat biochemical independent from the

61:52 but they can influence and somewhat are of course because they're part of the

61:58 so they're not like unattached, They in different shapes. Typically they described

62:05 studies of their shorter ones, this in green, this is a study

62:12 spine. You can have a thin which is this is a thin spine

62:17 purple. Then you have a mushroom it looks like a mushroom cap.

62:24 end of that spine shown here in . So they come in different

62:30 They come in slightly different sizes. I think predominantly three maybe five different

62:38 that you can distinguish. These They are the most plastic units and

62:46 most malleable units in neurons and neuronal . You can strengthen dendritic spines,

62:56 can weaken the spines, you can new dendritic spines and you can eliminate

63:02 existing dendritic spines, you can change numbers and you can change their

63:08 This is again activity dependent and environment process and activity dependent plasticity plasticity in

63:16 sense that you can strengthen or you build a new synopsis. So when

63:20 learning new information, we are typically have finite amount of information that we

63:26 keep and there's certain type of information is really important for us now the

63:34 this year, maybe, maybe this . And it's not gonna be the

63:40 information that's important next decade or the year even. So, as you

63:47 acquiring new information and learning, you doing all of these things. You

63:53 building new synopsis, synopsis and new spines. You're forgetting certain things and

64:00 making room for new things. So going to eliminate some gendered experience or

64:09 going to weaken them, you're gonna keep them right. But if you

64:14 review that material for the next two , it will be very vaguely.

64:18 very weeks and I think spine will be there. And then if you

64:25 the material two years later, maybe will strengthen again and you'll come back

64:29 that knowledge. So all of these , its activity dependent processes. So

64:35 you're focusing on is the activity. focusing on certain material with a certain

64:42 of activity, a certain task at type of activity. Certain sensory

64:47 you like, art versus music, two different sensory types of input that

64:52 uh practicing with or you know, stimulated with constantly in your brain.

65:00 something like both. Now, dendritic are also distributed along dendrites in a

65:12 manner. It's not that we understand and can predict, oh, if

65:18 look at the cell, this is subtype of cell because it has this

65:21 of the grid expands. But what do know is that abnormal formation of

65:27 spines such as in fragile X So and introduce this. We're gonna

65:50 back and talk about this a little more next lecture because I'm running out

65:53 time. But if you don't have proper shapes of these funds, if

66:00 don't have the proper distribution of these of contact along the dendrite, it

66:05 lead to mental retardation and the conditions as fragile X syndrome. And it

66:12 a mental formal recommendation that has certain common with autism and also typically a

66:22 morbidity as apple, etc. And . So it's pretty severe condition and

66:32 severe retardation. And what we're seeing these cases will actually describe a little

66:38 of the background to this next lecture it's dependent on the expression of a

66:45 protein called FM RP. Uh And the done right, you can see

66:54 dendritic shaft here on the left here from a normal and fund on the

67:01 . It's from mentally retarded in And you can very clearly see that

67:08 a difference in morphology of these dendritic density distribution. Therefore they're very important

67:17 normal information processing and encoding normal formation distribution of these spines and their shapes

67:23 everything. Points of contact is very for normal development of the brain.

67:30 as you can see in this image I'm going to discuss is the last

67:34 today is what you're seeing is you that each neuron okay, can receive

67:42 in green or glutamate ergic synopsis. everyone of this punk Tate is the

67:50 , dermatologic synapse That is stained for glutamate receptor. Each one of these

67:58 punkt, eight Gaba receptors, I hear that there is synopsis. So

68:05 this again speaks to the complexity of that this neuron has to take from

68:16 thousands, tens of thousands, excitatory with inhibitors and absence. And it

68:25 to happen in a really specific pattern connectivity to those synapses to those dendritic

68:35 that are located in specific areas of downright that will communicate that information in

68:40 correct manner for neurons to process. and by the way, we all

68:48 slightly different connectivity in our brands. all underwent different genetic and environmental

69:00 so to speak as we were growing and we are pruning some of these

69:09 were actually born with a lot more the synopsis and the good experience that

69:16 find ourselves into adulthood. So during early process of development and plasticity,

69:23 lot of what is happening is that is connected to everything And as you

69:30 things as your infant and you're learning colors things like that. This connectivity

69:38 start disconnecting from each other and things are exercise that you're exposed to censor

69:44 they strengthen and the other one's weaken go away. But in general you

69:50 lesser number of synapses and lesser number dendritic spines as adult, as opposed

69:59 as a newborn infant or very early brain. Even so that's why it's

70:09 important for overall computation of this neuron the brain have dendritic spines have certain

70:15 of the spines, densities and sub distribution localization of those parts.

70:21 we'll end here today, and when come back, we'll pick up where

70:24 left off. I'm gonna spend a bit of time talking about what fragile

70:28 and FM RP. So we understand uh predict spine and abnormalities in a

70:34 better way. Thank

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