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00:04 So welcome back, this is neuroscience three. Today we covered history of

00:11 . Last lecture we left a few from that particular lecture to discuss for

00:18 . And we're gonna start talking about and glia some of this information is

00:22 to be some of the basic cell review and some aspects and some of

00:28 is going to be new information or that is unique to neurons and glia

00:34 particular. As a reminder, you find all of your lectures. So

00:42 of your lecture one and lecture to . H. Video points. You

00:49 scroll through them and a little bit there will be transcription that is going

00:56 be available. You can jump through lecture if you miss certain parts of

01:05 . All of the information against us the syllabus on the blackboard. This

01:11 where you will find all of the that we've discussed uh for the history

01:18 we covered. You don't have to the dates of these individuals the times

01:26 which they lived would have a general and understanding of the accomplishments and their

01:33 to the development of the modern day . Most significant things that they discovered

01:41 postulated or theorized about that led us forming our modern day view of the

01:50 nervous system and neuronal communication. And spent quite a bit of time talking

01:57 loss of function on in general localization specific function in the brain. We

02:04 about how language areas, there are language areas and we discussed Broca's area

02:12 for expression of language and Monica's area for reception of language. We also

02:20 about Phineas gauge uh as an example a patient that not only recovered from

02:27 penetrative traumatic brain injury, but also person that showed us that there are

02:34 of the brain that are not responsible hearing or vision or speech or motor

02:42 but rather responsible for emotions for control behavior, memories, for cognitive

02:52 And that was the case with the gauge. We discussed how different environments

02:59 the animals on the outside as as organs and shapes of their various organs

03:07 to the local environment for survival and procreation. So uh these changes are

03:14 reflected internally inside the brain circuits and the brain maps that represent different parts

03:23 the brain and def parts of the that are represented in different locations in

03:30 brain. And certain animals, like will spend a lot of time.

03:34 their olfactory system. So their olfactory are large. They will use whiskers

03:39 some matter sensory sensations. So they a whisker pad map. Animals like

03:45 or non human primates, monkeys would by far more superior systems developed for

03:52 somatic sensory uh functions such as hand for example, rather than whisker functions

04:00 humans. You will have a very hand map but you wouldn't have a

04:04 map because we don't have a whisker and of course we have the visual

04:09 that's very sophisticated that we use a of brain space to analyze process visual

04:16 and also recreated. We talked about in the 19th century microscopes became powerful

04:23 to resolve single cell but we needed . So there was Golgi stain that

04:28 used by ramon alcohol to reveal individual and Charles. Carrington coined the term

04:34 synaptic of synapse. Now we talked particular theory versus neuron doctrine and also

04:41 uh how far ahead of his Ramon alcohol was in proposing that the

04:49 between neurons and neuronal networks are Uh And we talked about another type

04:57 stain which is missile stain which is to Golgi stain where only a fraction

05:02 neurons picks up that stain with neurons pick up the Golgi stain will reveal

05:07 morphology, precise arrangements of their process done right so mamma's axonal processes.

05:15 stain will not do that, but stain will stay in all of the

05:19 and all of the glia. It help you distinguish between neurons and

05:24 It's not the best way to do without any additional histological or staining markers

05:30 do so. But it's great for and allowing us to understand the style

05:37 of different regions of the brain. this method the missile stain was used

05:42 dr comedian broad mond that describe different that are different functional areas are determined

05:49 observing variations in the structure packing destined layering and such in the cells that

05:56 these different functional areas. Um electron was needed in order for us to

06:03 resolving and looking into individual synapses which 20 nm of space and looking into

06:10 , discrete neuronal units. Then we about how most of the contacts and

06:15 will take place on dendrites and in on these small protrusions that are known

06:21 dendritic spines. Most of the synapse go to be formed there. And

06:26 these elements are the most plastic elements means that during early development were actually

06:33 with a lot more connections in our . A lot of things are interconnected

06:37 specifically and there are more synopses and we use certain parts of the brain

06:44 exposed to certain uh sensory and environmental and patterns also we carry certain genetic

06:55 . All of that results in us certain connections that are stronger. And

06:59 means pruning a lot of these dendritic and allowing for certain other dendritic spines

07:05 strengthen and others to weekend. So a part of the learning process and

07:10 . You're forming new synapses, potentially growing new dendritic spines and have new

07:17 options trying to contact those spines if are forgetting things are potentially weakening existing

07:24 spines or maybe you're even eliminating the experience because there's a finite amount of

07:30 that we carry and there's importance to types of information may be given at

07:35 time of the year semester or a or school undergraduate versus graduate versus something

07:43 , you know. So these are plastic elements and good experience and their

07:49 . Normal development is very important for their own collectivity processing. We ended

07:56 stopping at this slide here and what slide shows is that modern days we

08:05 actually visualize neurons without staining and in case we can use infrared microscopy

08:12 And so this is a setup where have a microscope and underneath that microscope

08:18 that lens you have a slice, a brain slice that brain slices exposed

08:24 artificial cerebrospinal fluid. So it's being in the same Aquarius solution or a

08:32 environment that it would have in the itself in the super spinal fluid and

08:38 is being oxygenated. So the brain that there's still lungs that are supplying

08:44 blood vessels that are supplying the oxygen these neurons in the brain. We

08:49 identify individual neurons, individual psalms of neurons using infrared microscopy without any

08:57 And to do that, you need infrared camera or IR camera which through

09:02 set of mirrors points to information obtained the slides, points of information from

09:08 back into the infrared camera where you this image displayed on the tv monitor

09:16 that allows us not only to visualize south visualize layers and networks but also

09:25 us to perform neural physiological or electro recordings from these neurons whereby a small

09:34 electrode gets inserted or gets attached onto cells. And that micro electrode which

09:41 typically made from more silicate glass of electorate will typically contain an internal electorate

09:51 to match the internal Aquarius environment inside cell. Which is different from what

09:58 found in the extra cellular environment outside cell. And using these bar silicon

10:05 electors, we can record activity from neurons. We can record activity from

10:11 neurons at the same time or from networks of neurons be it and um

10:16 vitro which is in the slice preparation in blocks or in viva, which

10:24 harder to do because we actually in case have to visualize the electorate.

10:28 we can potentially do these recordings also vivo which is in the whole brain

10:33 whole animal brain. So this is microscopy and this is a setup that

10:43 fairly sophisticated but it uses light So we don't get the electron microscopy

10:51 here but we get here very good . This is about 10 micrometers across

10:59 diameter. He's done right for about micro meter diameter and the tip of

11:06 micro lectures is a little bit less a micro meter, typically in diameter

11:10 well depending on the types of recordings you're doing with these cells just to

11:15 the scales in the perspective. So in the lab and modern experimental neuroscience

11:23 have the ability to visualize individual synapses even visualize organizing these synapses. We

11:30 about how you can see individual vesicles mitochondria using electron microscopy, not just

11:36 synapse. We can visualize the dendritic and dendritic shafts that have all of

11:44 different arrangements with the experience. The precise morphology, detailed morphology of the

11:51 , the dendrite, the soma solo changes everything. And we can study

11:56 in experimental neuroscience from a single the single cell level to a small

12:06 level to a larger network level. we can go experimentally from micro studying

12:15 of single molecule where we can study only the physiology but also potentially image

12:24 a single molecule interacts with neuronal network what does a single molecule do.

12:30 we can do that. We can go from micros from this microscopic scale

12:36 macroscopic scale which means that we can information from larger neuronal networks that don't

12:45 necessarily microscope but can be viewed nearly the naked eye or uh just a

12:54 of ex uh magnification. This is neuroscience when you step into the clinical

13:05 and when you are talking about what happening in neurology which is a branch

13:13 of neuroscience and the clinical sciences, and other branch neuropsychiatry um all of

13:22 information you're learning in this course will contribute to understanding many different disciplines but

13:31 when we're talking about studying activity of brain clinically, we're talking about noninvasive

13:41 of the brain. This is uh done in slices where advancing micro electorates

13:52 the south and if somebody has a dysfunction, if they have tumor growth

14:02 the brain, we cannot do this the clinical setting. So typically you

14:08 imaging, functional imaging or in general of the brain that gets done.

14:16 , for example, positron emission tomography a type of functional imaging. What

14:24 means is that it is imaging the of neuronal networks and the difference between

14:32 experimental techniques versus the clinical techniques as experimental level. You can resolve single

14:40 single synapse in the clinical setting and positron or pet scan images. You're

14:48 looking at populations and networks of neurons regions of the brain that may be

14:56 . Of course, pet scan is only used for imaging activity, it

15:00 be used for detecting abnormal growth. can be used for detecting inflammation and

15:08 cell growth, not just in the , but throughout the body. But

15:12 our purposes. It's really interesting for to know, we can study electrical

15:17 and image single cell single neurons. can we do in the clinics and

15:23 this illustrates. For example, is scans can also be used to image

15:28 parts of the brain are activated as individual is performing different tasks. So

15:34 this image shows on the top Left a is the occipital lobe in the

15:42 of the brain broad months area 17 primary visual cortex? Area v.

15:48 is activated when the person's task is look at the words. So the

15:55 is actually under the scam. It's an easy procedure because you have to

16:05 radio active active label injections done into blood. So you become radioactive for

16:15 a couple of hours that allows for pet uh demographer to detect the changes

16:23 neurons that are active. They're going demand oxygen, they're going to demand

16:30 . The active neurons and there's going be the difference between the neurons that

16:34 active and the ones that are And we can image those differences.

16:38 this is the map on the top for looking at the words next to

16:43 is the map we're listening to the . And you will see that now

16:49 the person is listening to the it's their temporal lobe that is

16:56 And also the area that you know Nicholas area when you're speaking words,

17:06 what happens. You are now looking the frontal area that would overlap with

17:14 area. And also looking at the major motor cortex which would be responsible

17:24 generating the speaking pattern, the motor for speaking the words. And then

17:30 ask the person to think about the and you're doing these scans as you're

17:38 the person to do a different Look at the words, uh listen

17:43 the words, speak the words think the words and you can see that

17:48 parts of the brain get activated in these different tasks. And when the

17:55 is thinking about the words, the that were sort of a primary sense

18:01 information processing areas like the primary visual that's no longer activated when you're thinking

18:07 the words. Because your primary task not to look at something. A

18:12 task is to think about what that means. Um so you can see

18:20 what we call brain activity maps or maps that represent how different regions of

18:28 brain can be activated as a person performing different tasks, listening,

18:33 thinking of wars and such. And can clearly show that the thinking map

18:39 very different from any one of these maps and that any one of these

18:44 maps is clearly spatially temporally in activity these hot spots or maps of red

18:51 are clearly very different. And that's kind of a level of understanding for

18:57 the brain activity that you would have the clinical setting and what we strive

19:05 . We strive to blend this experimental in this century. From single cell

19:14 all the way to noninvasive brain imaging nobody needs to have their skull open

19:20 order to have enough memory or pet done on their on their on their

19:26 . This is not invasive apart from radioactive legal injection. This is not

19:31 . So if we can solve this we're imaging the overall activity in this

19:38 maps while we also at the same if we could know what's happening at

19:42 level of single synapse a single neuron . And basically this is sort of

19:47 holy grail For understanding neuronal function non and imaging neuronal function on them basically

19:56 having the ability to do it from Microsoft Microscopic Level two all the way

20:02 macro. So these imaging techniques such Pat, there's also F.

20:11 R. I. Or functional magnetic imaging. We'll talk about this

20:15 And of course they show the brain action to confirm that certain functions are

20:20 out in specific areas of the Each function is observed by more than

20:25 neural pathway. When one neural pathways , others may compensate. Making localization

20:34 specific brain function to see. Because you lose one of the fingers on

20:38 hand there's no need for a map that sing finger anymore in this amount

20:44 sensory cortex or in your motor And so the adjacent cortex is going

20:49 be plastic and it's going to take the area cortical area that is not

20:54 used also. Uh if you think parallel processing or parallel pathways we have

21:01 years. So if you lose coke , if you lose hearing on one

21:06 you still have hearing another two Then there's pathways from two eyes still

21:12 into one that crosses over the one stays on the same side to cross

21:18 . So there's a lot of redundancy parallel processing. Yeah. Uh It

21:30 take days typically two to start We're talking about dates. Yeah but

21:40 depends on the time along the development the animal. Early in the

21:47 You'll see examples, you can change anatomy by depriving an animal of a

21:53 input. You can restructure the But if that deprivation was short lived

21:58 if it happens during the high period plasticity, that animal can rebuild its

22:04 or partially rebuild the circuits. But that deprivation is longer time and if

22:10 deprivation falls outside the period of plasticity early development then that regrowth may take

22:19 and may not be as robust, there's still evidence in adults that repeating

22:27 certain task, for example with one for days will enlarge the brain map

22:34 that finger at the expense of the four fingers. So it does not

22:40 have to do with deprivation or loss function, it can be an increased

22:45 of one finger and now more brain needs to be dedicated to that one

22:50 . That's why I always make an with cell phones that we really are

22:55 a lot of our brain matter. , a lot of our brain space

23:00 these two fingers and this kind of swipe and tap, You know?

23:06 that's that that's quite different. Although still type, you know and uh

23:10 and still a lot of them still 10 fingers for typing, but that's

23:16 always the case also. Um some individuals use two or three fingers and

23:23 that's that's where the focus is. then you start losing ability sometimes of

23:29 motor tasks with the parts of the you don't use as well because your

23:34 has shifted its attention to the parts the body or the fingers that you

23:38 use. So. Good question, also know that emotions are localized,

23:45 temporal lobe epilepsy and micro stimulation of temporal lobe epilepsy uh is a abnormal

23:53 that happens in the temporal lobe. these patients when they're having seizures,

23:58 seizures, they are having very severe episodes and it can go from happiness

24:07 rage to absolute uh destructive rage. And so you can also evoke emotions

24:18 micro stimulation. So there's certain parts the brain you can stimulate like

24:24 for example, parts of the limbic and you will evoke different emotions.

24:29 if you stimulate certain parts of the , maybe you will evoke an emotion

24:33 fear. So there's different emotions that be evoked by adjacent to different parts

24:39 the brain group throughout the brain structure consists of multiple processes that occur in

24:49 areas of the brain imaging studies reveal different processes called elementary operations. So

24:57 towards a sort of elementary operation, think thinking of words is maybe a

25:03 complex operation, processing is both serial parallel, which means that parallel

25:10 Because we have two eyes, like said, we have redundant pathways coming

25:15 those two eyes too. And it's serial. Because the complexity and processing

25:21 we acquire the sensor information light enters the retina. Retina doesn't see the

25:28 thing. It doesn't even can recreate whole primal sketch of of the of

25:36 outside world of the outside image. have to pass that information from retina

25:42 the thalamus into the primary visual And that's when you're gonna have a

25:47 picture of the outside world. So each station from the retina and to

25:53 thalamus and the cortex, the processing more and more complex and gets more

25:59 more enriched to the neuronal connectivity. that's why it's cereal too is happening

26:05 parallel and in serious where it's hierarchically complex as that sensor information enters from

26:11 periphery into the highest cognitive organs and of the brain. Even the simplest

26:19 activity requires coordination of processes in multiple of the brain. So we like

26:25 said, don't just see with retina retina has to communicate information through the

26:31 system which will contain multiple areas of brain that need to be activated in

26:36 fashion. Uh such processes appears introspectively . So we don't spend much time

26:43 about how we're thinking and what's happening our brains is we're thinking or as

26:49 looking at at something or listening to . So it's were we grew up

26:55 it, so to speak. You , it's it's introspective or seamless.

27:01 now this is interesting because here is image that says no virtual reality and

27:07 is virtual reality and it shows the maps that I've introduced to you when

27:12 talked about the pet scans. And so you can see that in

27:16 case the individual has no virtual And I think it was linked to

27:21 game. It was here in the , uh Contemporary Arts Center here in

27:30 , which by the way, is and small. It's in the museum

27:34 and you don't have to but you donate $5 to go see the exhibits

27:40 exhibits are awesome. There, I also in the Museum of Fine Arts

27:46 one thursday of the month where it's to go to the museum. So

27:50 a great place to go walk around in bad weather or have a date

27:54 walk free through the museum. And day I came in into the Contemporary

28:00 Center and there was this exhibit about virtual reality of the snowman and you

28:06 be playing in front of the computer . Or you could immerse yourself in

28:10 reality to play the game. The was pretty cool. You throw the

28:14 at the the snowman over there and just explode if you if you got

28:18 so they fall apart and they did of the brain. So they had

28:24 person perform this game with no virtual . Virtual reality. You can see

28:29 the map is quite different between the will say wow this is a virtual

28:35 . Make the map smaller maybe more because it's more realistic and maybe that

28:40 be the argument made. But in you can see that having two dimensions

28:46 flat screen versus the virtual environment changes brain maps. And so where we're

28:53 is we're going into the virtual world taking tests online. We're going into

29:01 World or Matter is trying to take there through participating in virtual reality.

29:09 data coming out that kids that play games that actually have a really good

29:15 of three dimensions and navigation through space directions. Especially if they play like

29:21 where they have to chase or move the buildings or towns and stuff like

29:27 . So this is all shaping our brains too being a part of these

29:33 processes that come out every day. specialists and nervous system already mentioned.

29:41 neurologist psychiatrist. Looting personality disorders, . A neuropathologist and all the top

29:49 have to have an M. To be a neurosurgeon psychiatrist,

29:53 neuropathologist can be an M. Or PhD. And so there's different

30:00 to get to where you may want work eventually. If your ph de

30:05 wants to work in a hospital, neuropathology is the way to go.

30:09 your PhD that wants to work in university uh then maybe being a neurophysiologist

30:16 you're a pharmacologist and your anonymous molecular computational neuroscientist, all of these different

30:23 implants and the levels already that I've in discussing the molecular to single cell

30:32 networks and systems to behavior, What animals sees or how animal we

30:40 we interpret the world, the our behavior, our emotional and our

30:44 output and cognitive levels to to cognitive . And there's more information here.

30:54 think that a lot of knowledge from can there's neuroscience nurse, there's also

31:00 rehabilitation. Anything to do with nerve . A lot of the physical nerve

31:07 or even your or neurological in Europa and recovery and rehabilitation and also very

31:17 sciences that are related to understanding audiology will actually study the auditory

31:24 And so you'll have the basis of auditory system if you decide to go

31:29 to audiology field, pharmacy pharmaceuticals. of these things are related to neuroscience

31:39 . So this concludes our second lecture and now we enter into the third

31:51 material which is today is the third and into the pork lecture material.

31:56 when we look at the brain and looked at those images of the

32:00 90% of the brain is actually And of the brain is neurons. So

32:10 are like chips in a chocolate chip . And there's basically way more of

32:16 space and way more of the cellular that belongs to glia which is glia

32:24 glue is the dough of the chocolate cookie and one cannot exist without

32:30 It's not like you can have a cookie with sugar without chocolate chips that

32:35 of happen in the brain, you to have the dough and and the

32:40 in order for the brain to function . So chocolate chips are they so

32:49 you can have the whole cookie and it too the game and the brain

32:55 mainly in the stain. And this to our theme that in order for

33:01 to understand the structure of individual neurons neuronal networks or connectivity between different parts

33:07 the brain. We need different And there's also a famous saying that

33:14 rain in spain is mostly in the . So the gain in the brain

33:19 mainly in spain. Uh And once learn more about neuronal anatomy, we

33:27 that there are certain features of neurons are just like any other cells to

33:33 a nucleus, they have gold conflicts smooth into plasma, particularly rough.

33:42 the plasmid particular studied ribosomes, it's surrounded by cyber plastic membrane,

33:51 membrane. And so what are the that are quite unique or different from

33:58 cells that you may have learned Well, neurons have dead,

34:03 So they have these dendritic spines that talked about and that's where the sides

34:07 the contacts or whether you're a steak uh neurons also have axons and those

34:15 are myelin ated or they're insulated because electrical activity of the action potentials that

34:21 generated in the axon hillock will get through the axon to the external

34:29 So you'll say, okay, well cells also produce action potentials. Muscle

34:34 produce action potentials excitable numbers, neuron , muscular tissues are excitable, Just

34:44 discovered. So what's the difference? , neurons are very fast and their

34:51 potentials are very fast. Only one two milliseconds in duration, cardiac action

34:57 . So skeletal muscle action potentials for longer in duration. So they're the

35:03 . Um And that's a unique feature you have to endurance. The other

35:08 that is interesting is those molecules that ribosome complexes of mitochondria which is the

35:17 of a teepee are necessary for post modifications of the proteins and you will

35:25 a lot of these complexes color of complexes. And mitochondria with energy

35:32 A teepee and then it expires which you expand somewhat biochemically independence uh to

35:41 certain degree. Maybe another unique feature that these neurons can have tens of

35:50 of synapses, tens of thousands of spines and tens of thousands. And

35:57 even hundreds of thousands of synapses formed a single neuron. And they're fast

36:03 they have to process these hundreds of of inputs. Some of them are

36:08 for some of them inhibitory and integrate of that information within milliseconds and then

36:14 an action potential. That's very 1 to 2 milliseconds in duration.

36:20 they're they're fast computational units process information a fast manner. You know.

36:26 our axons communicating between neurons and then damn rides are communicating to the muscular

36:34 . No not exactly. Axons are mostly onto the soma or onto the

36:43 . And that's what axons are going cause the release of the neurotransmitters.

36:47 once this action potential gets generated here will conduct terminal. This is coming

36:56 another cell. You can see the and their transmitter will be to excite

37:00 inhibit the cell by binding the chemical its past synaptic receptors on the cell

37:07 . So axons can target some of can target them rights and axons can

37:12 target other accents sometimes can talk to drives right now we're focused on the

37:19 . N. S. So nothing here goes directly into the muscles.

37:24 we will talk about neuro muscular junction we talk about these divisions of the

37:29 nerve, the sensory dorsal and the ventral. And we'll talk about how

37:35 neuron signal to the muscles. But now this is between between den rides

37:45 like antennas and they're good exp ein like little antennas and points of contact

37:50 neurons. They get all of these that go to then drives the axles

37:56 selma's and the soma will get to in a couple of slides with Selma

38:02 the integrated portion of the cell that integrate the positive and the negative and

38:09 butts. And if it is excited then the axle of the initial

38:15 If it's excited will produce an action . But if inhibition wins because there's

38:20 to be hundreds or thousands inputs coming the south and the addition overrules,

38:27 the cell will stay quiet. And staying quiet it's not going to communicate

38:32 information to an adjacent network on adjacent may be connected to. So there's

38:39 good questions. I think you'll get of that as we move along with

38:43 material. Um It's going to be clear what I've just mentioned to

38:51 This is basic stuff. We have transcription, you have RNA. RNA

38:58 export from the nucleus. So RNA spliced into messenger RNA and then you

39:07 the molecules from the proteins, basic . We have splice variants. So

39:15 these uh in tron and Exxon zones spliced basically into the code. There

39:27 be some variations during the splicing And in a way we're kind of

39:31 splice variants of each other a little because we may have slightly different genetic

39:37 and expression of that code and that's but also splice variants. This information

39:45 not get spliced properly from the The messenger RNA can lead to a

39:51 , the cellular dysfunction or neurological neuronal . So it can lead to pathology

39:56 well. So very basic stuff. al's rough and the plasma critical um

40:03 has ribosomes and poly ribosomes. And messenger RNA A exits out through the

40:15 transporters and the nuclear pores. It's to destinations, there's either side of

40:22 Mick, free floating protein or membrane proteins. And we'll talk about a

40:28 about membrane associated proteins in this Because we're gonna talk about ion

40:35 We're gonna talk about g protein coupled and these are all membrane associated or

40:42 some instances trans membrane proteins and structures we will be discussing. So the

40:51 and the plasma particular will participate in faith where destination of faith of these

41:00 . The other thing that we have good way to look at what is

41:07 in the brain is by analyzing the and we live in the post genomic

41:15 . And what this diagram shows is we actually can have these micro race

41:22 synthetic D. N. A. we know the sequences that code okay

41:32 certain molecules for certain proteins and we these micro rays that are shown here

41:40 the slide. And in this micro you can have 65,000 synthetic pieces of

41:49 . N. A. Which essentially a specific code or molecule or for

41:56 podium. And you have one brain is labeled Red Brain one. And

42:05 have brain too which is labeled And let's say one of these brains

42:12 normal and another brain has Parkinson's And now you have no stained red

42:23 green. You mix them and apply this D. N. A.

42:29 rate where it's a micro rate where have little well so you will have

42:35 little wells with little synthetic piece gene sequence here, synthetic D.

42:41 A. And Jean would reduce expression brain. one will blow in green

42:49 be dominated by green jeans with reduced of brain to will be in red

42:56 jeans that didn't change and have the expression will remain in yellow. So

43:02 are visual markers of visual tags in . Well, that signal And what

43:10 basically tells you is if you have micro array with 30,000 wells in it

43:17 you comparing your normal brain to Parkinson's . What you may see is 25,000

43:25 remain unchanged which will tell you out these 30,000 25,000 don't don't have anything

43:32 do with with with Parkinson's processes. then you may find that 5000 of

43:39 genes changed. And then you will that 500 of these genes really changed

43:45 a lot. And then you'll find 200 of them went up. Which

43:51 that there's more of this gene expressed the brain. And you can also

43:56 the reduction or the increase in the . And you will say that

44:00 top and 301 down to the expression that gene went up or went

44:08 Is it is it helpful? It's really helpful to get a global view

44:15 water. The genes the populations of interrelated genes 200 or they're completely

44:22 Or either of these 200 or 150 to sodium channels for example. Then

44:28 getting to a certain level of But it gives you a good what

44:32 call bird's eye view of what is with genetic changes which consequentially can result

44:39 changes from molecular expression or protein expression neurons in the brain. But then

44:47 know, your mentor will say I these five genes so make sure you

44:53 out the two genes that are regulated those two I'm interested in and then

44:59 can be like Ramona alcohol and say I think it's the other to mentor

45:04 say, well I'm not gonna give a stipend and wants to study these

45:08 because at my age is giving me grant to study these two genes.

45:12 let's try to figure out and understand these do, you know? So

45:18 always you know rationale behind and there's both the scientific rationale and then if

45:25 make the financial rationale or strategic rationale for a lab for a mentor to

45:32 certain studies or be interested in certain . So but that's a good way

45:38 to have a general view of what the global changes. And of

45:45 you know this is the whole brain you could say I'm just going to

45:50 this there about, I'm just going take the temporal lobe, I'm just

45:54 to take a tiny little piece that know is amygdala. So you can

45:59 a lot more specific, right, is not just what happened in the

46:03 brain versus this, you can say happened in the hippocampus of the Parkinson's

46:08 versus this. What is the genetic in that area. Because that's the

46:12 that I'm interested in. My mentor interested in when it makes sense in

46:17 disease, to look at that specific and not another one so smooth and

46:22 plasma in particular, we're going through of the basic organ Alice is involved

46:26 protein folding calcium regulation. Um so intracellular stores of calcium right? You

46:36 release intracellular early calcium inside the south of colic. Or free floating calcium

46:42 very tightly regulated because calcium is not a di valent ion, it's also

46:48 secondary messenger, the secondary messenger neurons can influence long term effects inside the

46:54 . So a lot of calcium is buffered and regulated and stored in this

47:00 smooth er golgi apparatus is involved in post translational processing and podium sorting as

47:09 being built. And mitochondria in is source of energy undergoes the what is

47:16 the Krebs cycle. It takes the and stored energy sources such as protein

47:24 sugar, fat uh acid and conversion . There's a production of A.

47:31 . P. And the carbon dioxide there's a lot of ADP that gets

47:36 by mitochondria. So it's the main a main basically engine energy engine in

47:46 all of the energy sources. Uh A T. P. Is also

47:54 to drive certain transporters such as A . P. A. S.

48:00 pumps that pump ions like A P. A. S. And

48:05 use that energy a lot of times work against concentration gradient. And in

48:11 the brain mask comprises suddenly about 3 of the total body mass. So

48:21 you if you were to hold the , it weighs just about 3% of

48:28 total body amounts or so. But consumes about 20 of all of your

48:38 body energy intake and energy sources. it's a small organ, right?

48:46 demands a lot of energy. A of A. T. P.

48:51 lot of oxygen. And that's why talked about how it's sensitive to hypoxia

48:57 oxygen laws. It's a system that somewhat driven outside the equilibrium because it's

49:05 and it draws and consumes a lot total energy that that we that we

49:12 energy sources. Oh yeah of course course. I mean but in general

49:22 brain will draw a lot of energy it's not necessarily that what you're getting

49:28 is maybe I should have talked about and talked about the maps. Um

49:33 a myth Circulating out there that we use 10% of our brain. So

49:40 don't use more than 10% of our . And so you saw these

49:45 you know, they look like you , they're covering different but in fact

49:48 can use you know, if you 100% of your brain, that's not

49:52 . That's probably a epileptic seizure. Mall. Everything is in a short

49:57 in a way that's 100%. Uh don't do zero because that's brain

50:05 Uh And we go anywhere in between . 200%. Like I said 100%

50:14 be bad pathology but we do get . We get overload sensory overload.

50:21 heat strokes and not just you know but also environmental factors that contribute to

50:27 . So it's not like it's uh drawing that exact 20% of all of

50:33 energy sources, but also the brain not quiet when you're asleep. Your

50:39 is not moving well most of the it's not but your brain is

50:44 It's just different areas of the brain are active when there's a disconnection for

50:48 motor function. So we never go this, you know, Sleep Dark

50:55 , where were, you know, consuming zero energy and there's very little

51:01 . It does fluctuate around that 20% the total energy sources that we that

51:06 can intake in general. I don't if that answers your question. Uh

51:17 yeah, like I said, it pretty much go between 10 to and

51:22 but you don't want to be in and very oh, how does that

51:32 to the caloric intake? That's a question. But, you know,

51:41 do digestion and you have metabolism and . So what you're in taking is

51:45 necessarily what is Yeah, but I have a good answer to that.

51:50 a that's a great question for somebody doing like performance, uh neuro and

51:56 science and like durability and performance. because you want to, you

52:03 I'm curious about how much energy the use different occupations and different. It's

52:13 to tell. Um we typically don't ourselves in our functional brain activity.

52:20 know, we have usually limited studies are dedicated to groups of 20 or

52:27 studying a particular function or dysfunction. yeah, but if you were to

52:36 at the brain undergoing grand mal epileptic , you would see everything in

52:44 We see that in vitro and slices you will see that in vitro.

52:49 , and and it can be sustained quite a bit of time and it

52:53 go away. You know, it's not, it cannot be if 100%

52:57 activity brain activity sustained all of the draw for longer than half an

53:05 you actually lose neurons when you So, mm Hmm. Yeah.

53:12 if you having grand mal epileptic which I call a short circuit over

53:16 brain 45 minutes, if you don't that seizure within 45 minutes, you're

53:22 likely going to die. So, these are all very good questions.

53:29 , keep them coming. Even if don't have very good answers for

53:34 Stop. Is that possible to stop 20 minutes? Yeah, you can

53:42 to do it. And the best is still pharmacologically, still using uh

53:50 of the medications have been around for , 60 years, years of Benzodiazepines

54:00 in the rap world it's known as benzos. So, but in the

54:05 language it's days upon and benzodiazepines are potent uh inhibitors. Uh seizure activity

54:16 still probably the most effective at stopping mal seizures. There's maybe some exceptions

54:24 electric shock, potentially breaking down the , but that's at the experimental

54:31 And that's also when you have a stimulation and implants in the brain,

54:38 brain stimulation, which can be used stop seizures electrically as well. Uh

54:43 is clinical and it's available, but very severe cases because it's a invasive

54:49 surgery. So only medications don't work stopping these severe seizures, Then you

54:55 go into either respecting the surgery of area or implanting an electrode in hopes

55:02 if you detected normal activity, you break the pattern of abnormal activity with

55:07 pattern of electrical activity. Question what's ? Um, musk's neuralink? It's

55:21 mean, it's very interesting. I heard that he fired the Ceo and

55:24 hired a new Ceo. Um let's leave it to uh this discussion

55:32 neuralink maybe later. And of maybe we understand more about the brain

55:38 to, but it's it's very interesting happening with neuralink with artificial intelligence,

55:45 know, Casper dot io with chad . Those are some of the things

55:54 I think your generation should really consider very serious land because it I believe

56:01 will, you know, I'm just to hear the rumble, but I

56:06 believe that a lot of these things influence um the necessity for some basic

56:16 for basic uh professions even that will replaced with artificial intelligence or creative writers

56:26 are non writers that are digital artists are Casper artists, you know.

56:34 it's interesting. So we'll talk about at that stage two because that's sort

56:40 looking into the future. Can we digital into the brain? Can we

56:45 digital of the brain? Can we the brain think the way somehow brain

56:51 interface, basically. Can we make as smart as our brains after the

56:56 learn from our brains. So then could take over the world and run

57:01 around. Uh let's talk about it the course. Now possible lipid bi

57:09 is the membrane of neurons that consists two layers by layer two layers of

57:20 in which has a polar hydra filler or the polar groups are exposed to

57:25 extra cellular fluid or intracellular side of inside of the cell fluid and the

57:31 acid tails. These non polar hydrophobic point inwards to each other. So

57:40 form by layer in between you have cholesterol will contribute to the how tightly

57:49 possible effects are bound together in a the flexibility and fluidity of this plasma

57:57 . The numbering will have some trans proteins that are channels some trans membrane

58:03 that are protein associated proteins, powerful . So the sauce and neurons will

58:09 coated with sugar, carbohydrates, black proteins which are very important for South

58:14 sell recognition and this whole structure of membrane and the shape of the membrane

58:22 the dendrite and the spines in different is supported by the underlying side of

58:27 elements and these side of skeletal they're also not static, meaning that

58:35 side of skeletal elements in particular. small ones acting molecules can prelim arise

58:43 form longer change and they can form chains rather than longer chains. They

58:50 be polymer rise and they can form layer lattices that will be more rigid

58:59 structure. Or they could have just couple of layers for these satis scalable

59:05 , it will be more flexible in the member of destruction. And so

59:11 overall shape of the membrane will change the shape of those dendritic spines can

59:16 change. And the functionality of the can change because you will have a

59:23 of the elements. These are not elements. There's lateral diffusion and a

59:29 of these molecules will move throughout the and they can move really fast.

59:35 the trans membrane proteins can move micro within milliseconds so they can move within

59:43 bus lipid bi layer. If you possible lipid Beiler, you can start

59:50 these elements around and some of them actually get picked out some of the

59:55 lipids and reform into little my seals little organelles inside or outside the

60:03 And this is fluid. So this referred to as dynamical fluid mosaic model

60:10 of the lateral diffusion and because the diffusion and the site of skeletal supporting

60:17 underneath can change depending on the levels activity of demand. That particular piece

60:24 the membrane and the spine requires that it's being really activated a lot and

60:29 needs to become larger. So you to change the side of skeletal structure

60:35 to support. Now the larger member arrangement for that particular dendritic spine.

60:41 this is a very dynamic process. like I said in neurons, some

60:46 these trans membrane proteins can move very fast. The three types of cited

60:52 elements that we have on micro tubules are the largest 20 nanometer in

60:59 For the price of tubular molecules. we have the strands the neuro filament

61:05 or intermediary filaments, also known as filaments. And we have the micro

61:12 which are the smallest elements, only nanometers in diameter and they have the

61:18 molecule. And this is the smallest . And as I talked about acting

61:25 prelim arise and form longer chains. prelim arise and get cut up into

61:30 chains. This is a cross section the axon And the axon, as

61:37 can see on the outside has a and it has multiple layers in this

61:44 . This is the Myelin nation around axons that get formed by leo cells

61:50 the legal tender sides. So this nation is the insulation of the axon

61:59 it to be able to conduct electrical . So the myelin is insulation.

62:05 when Myelin is formed around a axon Alico denver side will wrap it's and

62:13 around multiple layers like that. And why you're seeing multiple layers, multiple

62:21 here in the violin. If you inside the axon which you're seeing on

62:27 inside of the axon looks like small vessels that are running lengthwise here except

62:36 non blood vessels. Their micro tubules micro tubules A lot of times are

62:44 referred to my axons as micro tubular . Micro tubules are very important for

62:54 O. And cellular transport in So you will see abundance of the

63:01 tubules and tubular and molecules that are around the Selma's up the neurons and

63:08 located throughout, especially the axons for external transport through the micro tubular

63:19 This is a fibroblast cell. So is not a neuron cell. But

63:24 it shows is in purple is the of the cell that is stained in

63:34 . You have the turbulent, which micro tubules and in blue. Everybody

63:44 blue here in blue. You have which is micro filaments. And this

63:54 basically illustrates what I have just mentioned you that the larger the side of

64:01 elements that will contribute to the overall of a base uh side of skeletal

64:09 structural rigidity of the cell and are to the transport and the elements.

64:18 smallest elements like acting show the You can see the blue stain is

64:25 clearly defining the very much outer distal of the cell. And this is

64:33 the support of the shape and the and the outer edges of the possible

64:38 . It comes from having tubular in on the inside, having acted on

64:45 outside by having acting on the having acting the ability to rearrange quickly

64:51 the outside. You can change the of the plasma membrane and through the

64:57 diffusion you can change what proteins are in the plasma number and therefore the

65:04 of these different elements and pieces of plasma membrane. So in uh this

65:15 I've actually in your notes have replaced with another slide. And when we

65:21 back we will talk about it. , I will end the third lecture

65:26 because of the rain a couple of earlier. And when we come back

65:30 will talk about Alzheimer's disease. So I mentioned that I replaced the

65:36 I will show you to you in minute. But this will conclude

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