A new way to study the brain's invisible secrets

Hello everybody.

I brought with me today a baby diaper.

You'll see why in a second.

Baby diapers have interesting properties.

They can swell enormously
when you add water to them,

an experiment done

by millions of kids every day.

(Laughter)

But the reason why is that they're
designed in a very clever way.

They're made out oaf a thing
called a swellable material.

It's a special kind of material that,
when you add water,

it will swell up enormously,

maybe a thousand times in volume.

And this is a very useful,
industrial kind of polymer.

But what we're trying to do
in my group at MIT

is to figure out if we can do
something similar to the brain.

Can we make it bigger,

big enough that you can
peer inside and see

all the tiny building blocks,

the biomolecules, how they're organized
in three dimensions,

the structure, the [??]
structure of the brain, if you will?

If we could get that, maybe
we could have a better understanding

of how the brain is organized

to yield thoughts and emotions

and actions and sensations.

Maybe we could try to pinpoint
the exact changes in the brain

that result in diseases,

diseases like Alzheimer's
and epilepsy and Parkinson's,

for which there are few treatments,
much less cures,

and for which very often we don't know
the cause or the origins

and what's really causing them to occur.

Now, our group at MIT

is trying to take sort of
a different point of view

from the way that neuroscience has
been done over the last hundred years.

We're designers. We're inventors.

We're trying to figure out how
to build technologies

that let us look at and repair the brain.

And the reason is, the brain
is incredibly, incredibly complicated.

So what we learned over the first
century of neuroscience is that the brain

is a very complicated network

made out of very specialized cells
called neurons

with very complex geometries,

and electrical currents will flow
through these complexly shaped neurons.

Furthermore, neurons
are connected in networks.

They're connected by little junctions
called synapses that exchange chemicals

and allow the neurons
to talk to each other.

Now, the density
of the brain is incredible.

In a cubic millimeter of your brain,

there are about 100,000 of these neurons

and maybe a billion of those connections.

But it's worse.

So, if you could zoom into a neuron,
and of course this is just

our artist's rendition of it,

what you would see are thousands
and thousands of kinds of biomolecules,

little nanoscale machines that are
organized in complex, 3D patterns,

and together they mediate
those electrical pulses,

those chemical exchanges

that allow neurons to work together

to generate things
like thoughts and feelings

and so forth.

Now, we don't know how
the neurons in the brain are organized

to form networks, and we don't know

how the biomolecules are organized
within neurons to form

these complex, organized machines.

If we really want to understand this,

we're going to need new technologies.

But if we could get such maps,

if we could look at the organization
of molecules and neurons

and neurons and networks,

maybe we could really understand
how the brain conducts information

from sensory regions,

mixes it with emotion and feeling,

and generates our decisions and actions.

Maybe we could pinpoint the exact set
of molecular changes that occur

in a brain disorder,

and once we know how
those molecules have changed,

whether they've increased in number
or changed in pattern,

we could use those as targets
for new drugs,

for new ways of delivering
energy into the brain

in order to repair the brain
computations that are afflicted

in patients who suffer
from brain disorders.

We've all seen lots of different
technologies over the last century

to try to confront this.

I think we've all seen brain scans

taken using MRI machines.

These, of course, have the great power
that they are non-invasive,

they can be used on living human subjects,

but also they're spatially crude.

Each of these blobs that you see,
or [??] as they're called,

can contain millions
and millions of neurons.

So it's not at the level of resolution
where we can pinpoint

the molecular changes that occur

or the changes in the wiring
of these networks

that contributes to our ability
to be conscious and powerful beings.

At the other extreme,
you have microscopes.

So microscopes, of course, we use light
to look at little tiny things,

and for centuries they've been used
to look at things like bacteria.

For neuroscience, microscopes are actually

how neurons were discovered
in the first place,

about 130 years ago,

but light is fundamentally limited.

You can't see individual molecules
with a regular old microscope.

You can't look at these tiny connections.

So if we want to make our ability
to see the brain more powerful,

to get down to that [??] structure,

we're going to need to have
even better technologies.

So my group, a couple years ago,
we started thinking,

why don't we do the opposite?

If it's so darn complicated
to zoom into the brain,

why can't we make the brain bigger?

Initially started with two
graduate students in my group,

[??],
and now many others in my group

are helping with this process,

we decided to try to figure out
if we could take polymers

like the stuff from the baby diaper

and install it physically within the brain.

If we could do it just right,
and you add water,

you could potentially blow the brain up
to the point where you could actually

distinguish those tiny biomolecules
from each other.

You could see those connections
and get maps of the brain.

This could potentially be quite dramatic,

and so we brought a little demo here.

We got some purified baby diaper material.

It's much easier just to buy it
off the Internet

than to extract the few grains
that actually occur in these diapers.

And I'm going to put
just one teaspoon here

of this purified polymer.

And here we have some water,

and what we're going to do is see
if this teaspoon of the baby diaper

material can increase in size.

And what you're going to see it's going
to increase in volume

by about a thousandfold

before your very eyes.

So I could go and pour much more
of this in there,

but I think you've gotten the idea there,

that this is a very,
very interesting molecule,

and if can use it in the right way,

we might be able to really zoom in
on the brain in a way

that you can't do with past technologies.

Okay. So a little bit of chemistry now.

What's going on
in the baby diaper polymer?

If you could zoom in,

it might look something like
what you see on the screen.

Polymers are chains of atoms

arranged in long, thin lines,

and the chains are very tiny,

about the width of a biomolecule,

and these polymers are really dense.

They're separated by distances that are
around the size of a biomolecule.

So this is very good, because
we could potentially move everything

apart in the brain.

If we add water, what will happen is,

this swellable material is going
to absorb the water,

the polymer chains are going
to move apart from each other,

and the entire material

is going to become bigger.

And because these chains are so tiny,
and spaced by biomolecular distances,

we could potentially blow up the brain

and make it big enough to see.

So here's the mystery though:
how do we actually make

these polymer chains inside the brain

so we can move
all the biomolecules apart?

If we could do that, maybe we could
get these [??] maps of the brain.

We could look at the wiring.

We can peer inside
and see the molecules within.

So to explain this, we made
some animations where we actually

look at, in these artists renderings,
what biomolecules might look like

and how we might separate them.

Step one: what we'd have to do
first of all

is to attach to every biomolecule
shown in brown here

a little anchor, a little handle.

We need to pull the molecules
of the brain apart from each other,

and to do that we need to have
a little handle that allows

those polymers to bind to them

and to exert their force.

Now, if you just take
baby diaper polymer

and dump it on the brain,

obviously it's going to sit there on top,

so we need to find a way
to make the polymers inside,

and this is where we're really lucky.

It turns out, you can actually
get the building blocks,

monomers, as they're called,

and if you let them go into the brain

and then trigger the chemical reactions,

you can get them to form those long chains

right there inside the brain tissue.

They're going to wind their way
around biomolecules,

and between biomolecules,

forming those complex webs

that will allow you, eventually, to pull
apart the molecules from each other.

And every time that one
of those little handles is around,

the polymer is going to bind to the handle

and that's exactly what we need in order
to pull the molecules apart

from each other.

All right, the moment of truth.

We have to treat this specimen

with a chemical to kind of loosen up
all the molecules from each other,

and then, when we add water,

that swellable material is going
to start absorbing the water,

the polymer chains will move apart,

but now, the biomolecules
are going to come along for the ride,

and much like drawing
a picture on a balloon,

and then you blow up the balloon,

the image is the same,

but the ink particles have moved
away from each other.

And that's what we've been able
to do now, but in three dimensions.

There's one last trick.

As you can see here, we've color-coded
all the biomolecules brown.

That's because they all
kind of look the same.

Biomolecules are made
out of the same atoms,

but just in different orders.

So we need one last thing

in order to make them visible.

We have to bring in little tags

with glowing dyes

that will distinguish them.

So one kind of biomolecule
might get a blue color.

Another kind of biomolecule
might get a red color.

And so forth.

And that's the final step.

Now we can look at something
like a brain,

and look at the individual molecules,

because we've moved them
far apart enough from each other

that we can tell them apart.

So the hope here is that we
can make the invisible visible.

We can turn things that might seem
small and obscure

and blow them up until they're
constellations of information about life.

And so here's an actual video
of what it might look like.

We have here a little brain in a dish,

a little piece of a brain actually,

and we've infused the polymer in,

and now we're adding water.

And what you're going to see

is that right before your eyes --

this video is sped up
about sixtyfold --

this little piece of brain tissue
is going to grow.

And it can increase by a hundredfold
or even more in volume.

And the cool part is, because
those polymers are so tiny,

we're separating biomolecules
evenly from each other.

It's a smooth expansion.

We're not losing the configuration
of the information.

We're just making it easier to see.

So now we can take actual brain circuitry.

Here's a piece of the brain
involved with, for example, memory,

and we can zoom in.

We can start to actually look at
how circuits are configured.

Maybe someday we could
read out a memory.

Maybe we actually look at how
circuits are configured

to process emotions,

how the actual wiring
of our brain is organized

in order to make us who we are.

And of course, we can pinpoint,
hopefully, the actual problems

in the brain at a molecular level.

What if we could actually look into
cells in the brain and figure out, wow,

here are the 17 molecules
that have altered

in this brain tissue that has been
undergoing epilepsy

or changing in Parkinson's disease

or otherwise being altered.

If we get that systematic list
of things that are going wrong,

those become our therapeutic targets.

We can build drugs to bind those.

We can maybe aim energy
at different parts of the brain

in order to help people
with Parkinson's or epilepsy

or other conditions that affect
over a billion people

around the world.

Now, something interesting
has been happening.

It turns out that throughout biomedicine,

there are other problems
that expansion might help with.

This is an actual biopsy
from a human breast cancer patient.

And it turns out that
if you look at cancers,

if you look at the immune systems,

if you look at aging,
if you look at development,

all these processes

are involving large scale
biological systems,

but of course the problems begin
with those little nanoscale molecules,

the machines that make the cells
and the organs in our body tick.

So what we're trying to do now
is to figure out

if we can actually use this technology
to map the building blocks of life

in a wide variety of diseases.

Can we actually pinpoint
the molecular changes in a tumor

so that we can actually go after it
in a smart way

and deliver drugs that might wipe out
exactly the cells that we want to?

You know, a lot of medicine
is very high risk.

Sometimes, it's even guesswork.

My hope is we can actually turn
what might be, like, a high-risk moonshot

into something that's more reliable.

If you think about the original moonshot,
where they actually landed on the moon,

it was based on really solid science.

We understood gravity.

We understood aerodynamics.

We knew how to build rockets.

The science risk was under control.

It was still a great, great
feat of engineering,

but in medicine, we don't necessarily
have all the laws.

Do we have all the laws
that are analogous to gravity,

that are analogous to aerodynamics?

And I would argue that with technologies

like the kinds that I'm
talking about today,

maybe we can actually derive those.

We can map the patterns
that occur in living systems

and to figure out how to overcome
the diseases that plague us.

You know, my wife and I
have two young kids,

and one of my hopes as a bioengineer
is to make life better for them

than it currently is for us.

And my hope is, you know,

if we can turn biology and medicine

from these high-risk endeavors
that are governed by chance and by luck,

and we can make them things
that we win by skill and hard work,

then that would be a great advance.

So thank you very much.

(Applause)