Jump to content
RemedySpot.com

Mapping the brain: New technique poised to untangle the complexity of the brain

Rate this topic


Guest guest

Recommended Posts

Guest guest

Public release date: 10-Apr-2011

[ Print | E-mail | Share Share ] [ Close Window ]

Contact: Craig Brierley

c.brierley@...

44-207-611-7329

Wellcome Trust

Mapping the brain: New technique poised to untangle the complexity of the brain

Scientists have moved a step closer to being able to develop a computer model of

the brain after developing a technique to map both the connections and functions

of nerve cells in the brain together for the first time.

A new area of research is emerging in the neuroscience known as 'connectomics'.

With parallels to genomics, which maps the our genetic make-up, connectomics

aims to map the brain's connections (known as 'synapses'). By mapping these

connections – and hence how information flows through the circuits of the brain

– scientists hope to understand how perceptions, sensations and thoughts are

generated in the brain and how these functions go wrong in diseases such as

Alzheimer's disease, schizophrenia and stroke.

Mapping the brain's connections is no trivial task, however: there are estimated

to be one hundred billion nerve cells ('neurons') in the brain, each connected

to thousands of other nerve cells – making an estimated 150 trillion synapses.

Dr Tom Mrsic-Flogel, a Wellcome Trust Research Career Development Fellow at UCL

(University College London), has been leading a team of researchers trying to

make sense of this complexity.

" How do we figure out how the brain's neural circuitry works? " he asks. " We

first need to understand the function of each neuron and find out to which other

brain cells it connects. If we can find a way of mapping the connections between

nerve cells of certain functions, we will then be in a position to begin

developing a computer model to explain how the complex dynamics of neural

networks generate thoughts, sensations and movements. "

Nerve cells in different areas of the brain perform different functions. Dr

Mrsic-Flogel and colleagues focus on the visual cortex, which processes

information from the eye. For example, some neurons in this part of the brain

specialise in detecting the edges in images; some will activate upon detection

of a horizontal edge, others by a vertical edge. Higher up in visual hierarchy,

some neurons respond to more complex visual features such as faces: lesions to

this area of the brain can prevent people from being able to recognise faces,

even though they can recognise individual features such as eyes and the nose, as

was famously described in the book The Man Who Mistook Wife for a Hat by Oliver

Sachs.

In a study published online today in the journal Nature, the team at UCL

describe a technique developed in mice which enables them to combine information

about the function of neurons together with details of their synaptic

connections.

The researchers looked into the visual cortex of the mouse brain, which contains

thousands of neurons and millions of different connections. Using high

resolution imaging, they were able to detect which of these neurons responded to

a particular stimulus, for example a horizontal edge.

Taking a slice of the same tissue, the researchers then applied small currents

to a subset of neurons in turn to see which other neurons responded – and hence

which of these were synaptically connected. By repeating this technique many

times, the researchers were able to trace the function and connectivity of

hundreds of nerve cells in visual cortex.

The study has resolved the debate about whether local connections between

neurons are random – in other words, whether nerve cells connect sporadically,

independent of function – or whether they are ordered, for example constrained

by the properties of the neuron in terms of how it responds to particular

stimuli. The researchers showed that neurons which responded very similarly to

visual stimuli, such as those which respond to edges of the same orientation,

tend to connect to each other much more than those that prefer different

orientations.

Using this technique, the researchers hope to begin generating a wiring diagram

of a brain area with a particular behavioural function, such as the visual

cortex. This knowledge is important for understanding the repertoire of

computations carried out by neurons embedded in these highly complex circuits.

The technique should also help reveal the functional circuit wiring of regions

that underpin touch, hearing and movement.

" We are beginning to untangle the complexity of the brain, " says Dr

Mrsic-Flogel. " Once we understand the function and connectivity of nerve cells

spanning different layers of the brain, we can begin to develop a computer

simulation of how this remarkable organ works. But it will take many years of

concerted efforts amongst scientists and massive computer processing power

before it can be realised. "

The research was supported by the Wellcome Trust, the European Research Council,

the European Molecular Biology Organisation, the Medical Research Council, the

Overseas Research Students Award Scheme and UCL.

" The brain is an immensely complex organ and understanding its inner workings is

one of science's ultimate goals, " says Dr , Head of Neuroscience

and Mental Health at the Wellcome Trust. " This important study presents

neuroscientists with one of the key tools that will help them begin to navigate

and survey the landscape of the brain. "

Link to comment
Share on other sites

Join the conversation

You are posting as a guest. If you have an account, sign in now to post with your account.
Note: Your post will require moderator approval before it will be visible.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.

Loading...
×
×
  • Create New...