SlideShare a Scribd company logo
1 of 45
Download to read offline
Hi, kids! My name
                                           is Vickie Voxel. I’m
                                             going to tell you
              ●   ●
                                           about fMRI, HRF &
                                                  BOLD.



                  Intro to fMRI
                            Part I: HRF & BOLD
Dr. Russell James, Texas Tech University
An fMRI picture of the
           brain is made up of
        thousands of boxes, called
           voxels, just like me!
●   ●
We voxels
are small –
  usually
 about the
size of one   ●   ●




peppercorn
Inside each
           of us
         voxels are
         thousands
        of neurons
●   ●
When a lot of
        these neurons
         start to fire,
           the body
           rushes in
●   ●   oxygen to help
This rush of
        oxygen comes
         through the
          blood and
          makes me
●   ●      start to
         change color
As my blood
           oxygen
        increases, I
         get redder

●   ●
And redder



●   ●
If this keeps
        going, I will be
          totally red
        from all of the
         oxygen in my
●   ●        blood
But then, if
          the neurons
           don’t keep
           firing, the
         body will stop
●   ●   rushing oxygen
              to me
And my color
        will start to
         return to
           normal

●   ●
I can get a bit
        blue at the end
         if my oxygen
        drops too low,
        right before it
●   ●      returns to
             normal
In 20 seconds
           after the
        neurons fired,
        I will be back
         to my normal
●   ●     color again
This whole
        color change
         process is
          called my
        hemodynamic
●   ●     response
“Hemo” means
                                                                             blood. “Dynamic”
                                                                             means change.
                                             ●   ●
                                                                             So, hemodynamic
                                                                             response is my
                                                                             “blood-change”
Blood Oxygen Level




                                     ●   ●           ●   ●



                                                                             response.
                             ●   ●                           ●   ●




                     ●   ●                                           ●   ●           ●   ●   ●   ●   ●   ●



                                                                             ●   ●




                         0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
                                             SECONDS after neurons fire  
When we model
                                                                              this change with
                                                                             math, we call it a
                                             ●   ●
                                                                               hemodynamic
                                                                             response function
Blood Oxygen Level




                                     ●   ●           ●   ●




                             ●   ●                           ●   ●




                     ●   ●                                           ●   ●           ●   ●   ●   ●   ●   ●



                                                                             ●   ●




                         0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
                                             SECONDS after neurons fire  
But, saying
                                                                                  “hemodynamic
                                                                                     response
                                             ●   ●
                                                                                 function” takes
                                                                                 too long, so we
                                                                                 will just call it
Blood Oxygen Level




                                     ●   ●           ●   ●



                                                                                     the HRF
                             ●   ●                           ●   ●




                     ●   ●                                           ●   ●           ●   ●   ●   ●   ●   ●



                                                                             ●   ●




                         0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
                                             SECONDS after neurons fire  
●   ●                                       The HRF
Blood Oxygen Level




                                     ●   ●           ●   ●




                             ●   ●                           ●   ●




                     ●   ●                                           ●   ●           ●   ●   ●   ●   ●   ●



                                                                             ●   ●




                         0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
                                             SECONDS after neurons fire  
The fMRI machine can see my color
        change because blood with a lot of
        oxygen (red) is less attracted to
        magnets than blood without much
        oxygen (pink or blue).


●   ●




●   ●
But, instead of showing pictures
in red, pinks, and blues, the fMRI
creates black and white pictures.



                                  Differences in
                                  magnetism are
                                  shown as shades of
                                  light and dark.
 ●   ●                ●       ●




 ●   ●
                  ●       ●
The fMRI machine is measuring a BOLD
signal because the color is
                            Blood
                            Oxygen
                            Level
                            Dependent



 ●   ●              ●       ●   High blood oxygen



                                Low blood oxygen
 ●   ●
                ●       ●
So, instead of an
                                                                             HRF looking like
                                                                                   this…
                                             ●   ●
Blood Oxygen Level




                                     ●   ●           ●   ●




                             ●   ●                           ●   ●




                     ●   ●                                           ●   ●           ●   ●   ●   ●   ●   ●



                                                                             ●   ●




                         0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
                                             SECONDS after neurons fire  
The fMRI shows
                                                                             an HRF that looks
                                                                                 like this…
                                             ●   ●
Blood Oxygen Level




                                     ●   ●           ●   ●




                             ●   ●                           ●   ●




                     ●   ●                                           ●   ●           ●   ●   ●   ●   ●   ●



                                                                             ●   ●




                         0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
                                             SECONDS after neurons fire  
Because the color
                                                                             tells us the blood
                                                                              oxygen level, we
                                             ●   ●
                                                                             really don’t need
                                                                              a vertical axis…
Blood Oxygen Level




                                     ●   ●           ●   ●




                             ●   ●                           ●   ●




                     ●   ●                                           ●   ●           ●   ●   ●   ●   ●   ●



                                                                             ●   ●




                         0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
                                             SECONDS after neurons fire  
We can just use
                                                           one line




●   ●       ●   ●       ●   ●       ●   ●       ●   ●       ●   ●   ●   ●   ●   ●   ●   ●




0       1   2       3   4       5   6       7   8       9   10 11 12 13 14 15 16
                        SECONDS after neurons fire  
And, if we always
                                                  take a picture
                                                 every 2 seconds,
                                                then we don’t even
                                                 need the seconds
                                                  on the bottom


●   ●       ●   ●       ●   ●       ●   ●       ●   ●       ●   ●   ●   ●   ●   ●   ●   ●




0       1   2       3   4       5   6       7   8       9   10 11 12 13 14 15 16
                        SECONDS after neurons fire  
So, all of our HRF
                                      information is
                                       shown on the
Neuron                                timeline below
firing
starts



 ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●   ●
But, instead of a
Neuron
firing
                                                 series of colors,
starts                                              the fMRI
                                                 machine gives us
                                                     numbers

 180     200         250       305        249         201       182       172         180

 ●   ●   ●   ●      ●   ●     ●   ●      ●   ●      ●   ●     ●   ●     ●   ●       ●   ●
The fMRI records a
Neuron                          number for the
firing                      magnetism of each voxel
starts                           at each time



 180     200         250       305        249         201       182       172         180

 ●   ●   ●   ●      ●   ●     ●   ●      ●   ●     ●   ●      ●   ●     ●   ●       ●   ●
If we take a picture every 3
seconds for 7 minutes, we get 140
     numbers for each voxel
And we might have 100,000 or so
   voxels in the whole brain
20 images per minute X 7 minutes
X 100,000 voxels X 20 people =
280 million data points
            We can’t track it by hand!
So we have to ask
 the computer to
analyze the data
But the computer
  needs to know
WHAT to look for
and WHEN to look
      for it
So WHAT are we
  looking for?
We are looking for changes in the
                         signal that look like this
                                              ●   ●
Blood Oxygen Level




                                      ●   ●           ●   ●




                              ●   ●                           ●   ●




                      ●   ●                                           ●   ●             ●   ●   ●   ●   ●   ●



                                                                                ●   ●




                          0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
                                                                              SECONDS
We are looking for changes in the
                         signal that look like this
                                              ●   ●
Blood Oxygen Level




                                      ●   ●           ●   ●




                              ●   ●                           ●   ●




                      ●   ●                                           ●   ●             ●   ●   ●   ●   ●   ●



                                                                                ●   ●




                          0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
                                                                              SECONDS
We are looking for changes in the
       signal that look like this…
        because this looks like an HRF,
        meaning it was caused by a large
            group of neurons firing

180       200         250       305        249         201       182       172         180

●   ●     ●   ●      ●   ●     ●   ●      ●   ●     ●   ●      ●   ●     ●   ●       ●   ●
We are looking for changes in the
       signal that look like this…
        because this looks like an HRF,
        meaning it was caused by a large
            group of neurons firing

180       200         250       305        249         201       182       172         180

●   ●     ●   ●      ●   ●     ●   ●      ●   ●     ●   ●      ●   ●     ●   ●       ●   ●
WHEN are we
looking for this
HRF-like signal?
We are interested in the HRF-like
signals that happen right after the
  subject experiences something

+     +      +            +      +
Then we can estimate the
likelihood that a voxel, or group of
    voxels, is responding to the
               stimulus
This simple concept can be
difficult in practice because:
1. The signal change is small
2. The brain is noisy
This simple concept can be
difficult in practice because:
1. The signal change is small
2. The brain is noisy

Overcoming these barriers
requires:
          Good study design
                  +
          Good data analysis
Bye for now!
                                            Next time we will
                                              look at how to
                                           create a good study
              ●   ●


                                                  design.



                  Intro to fMRI
                            Part I: HRF & BOLD
Dr. Russell James, Texas Tech University

More Related Content

What's hot

fMRI Presentation
fMRI PresentationfMRI Presentation
fMRI Presentationricksw78
 
Benign variants in eeg
Benign variants in eegBenign variants in eeg
Benign variants in eegNeurologyKota
 
Event Related Potentials
Event Related PotentialsEvent Related Potentials
Event Related PotentialsRahul Jain
 
fMRI in machine learning
fMRI in machine learningfMRI in machine learning
fMRI in machine learningUjjawal
 
Functional neuroimaging.pptx
Functional neuroimaging.pptx Functional neuroimaging.pptx
Functional neuroimaging.pptx NeurologyKota
 
Normal EEG patterns, frequencies, as well as patterns that may simulate disease
Normal EEG patterns, frequencies, as well as patterns that may simulate diseaseNormal EEG patterns, frequencies, as well as patterns that may simulate disease
Normal EEG patterns, frequencies, as well as patterns that may simulate diseaseRahul Kumar
 
Transcranial doppler
Transcranial dopplerTranscranial doppler
Transcranial dopplerNeurologyKota
 
Abnormal EEG patterns
Abnormal EEG patternsAbnormal EEG patterns
Abnormal EEG patternsMurtaza Syed
 
Electrodiagnostic Evaluation of Amyotrophic Lateral Sclerosis
Electrodiagnostic Evaluation of Amyotrophic Lateral SclerosisElectrodiagnostic Evaluation of Amyotrophic Lateral Sclerosis
Electrodiagnostic Evaluation of Amyotrophic Lateral SclerosisAde Wijaya
 
Abnormal focal eeg patterns
Abnormal focal eeg patternsAbnormal focal eeg patterns
Abnormal focal eeg patternsPramod Krishnan
 

What's hot (20)

fMRI Presentation
fMRI PresentationfMRI Presentation
fMRI Presentation
 
Benign variants in eeg
Benign variants in eegBenign variants in eeg
Benign variants in eeg
 
Event Related Potentials
Event Related PotentialsEvent Related Potentials
Event Related Potentials
 
History SFEMG
History SFEMGHistory SFEMG
History SFEMG
 
FMRI
FMRIFMRI
FMRI
 
fMRI in machine learning
fMRI in machine learningfMRI in machine learning
fMRI in machine learning
 
Functional neuroimaging.pptx
Functional neuroimaging.pptx Functional neuroimaging.pptx
Functional neuroimaging.pptx
 
normal eeg
 normal eeg  normal eeg
normal eeg
 
Normal EEG patterns, frequencies, as well as patterns that may simulate disease
Normal EEG patterns, frequencies, as well as patterns that may simulate diseaseNormal EEG patterns, frequencies, as well as patterns that may simulate disease
Normal EEG patterns, frequencies, as well as patterns that may simulate disease
 
Neuroimaging methods
Neuroimaging methodsNeuroimaging methods
Neuroimaging methods
 
Sleep EEG
Sleep EEGSleep EEG
Sleep EEG
 
Transcranial doppler
Transcranial dopplerTranscranial doppler
Transcranial doppler
 
Abnormal EEG patterns
Abnormal EEG patternsAbnormal EEG patterns
Abnormal EEG patterns
 
The Role of Intraoperative Neuromonitoring (IONM)
The Role of Intraoperative Neuromonitoring (IONM)The Role of Intraoperative Neuromonitoring (IONM)
The Role of Intraoperative Neuromonitoring (IONM)
 
Eeg seminar
Eeg seminarEeg seminar
Eeg seminar
 
Neurosonology
NeurosonologyNeurosonology
Neurosonology
 
Electrodiagnostic Evaluation of Amyotrophic Lateral Sclerosis
Electrodiagnostic Evaluation of Amyotrophic Lateral SclerosisElectrodiagnostic Evaluation of Amyotrophic Lateral Sclerosis
Electrodiagnostic Evaluation of Amyotrophic Lateral Sclerosis
 
Abnormal focal eeg patterns
Abnormal focal eeg patternsAbnormal focal eeg patterns
Abnormal focal eeg patterns
 
Recognition of abnormal EEG.
Recognition of abnormal EEG.Recognition of abnormal EEG.
Recognition of abnormal EEG.
 
EEG artifacts
EEG  artifactsEEG  artifacts
EEG artifacts
 

More from Russell James

Charitable bequest fundraising: New results from 100 years of national data
Charitable bequest fundraising: New results from 100 years of national dataCharitable bequest fundraising: New results from 100 years of national data
Charitable bequest fundraising: New results from 100 years of national dataRussell James
 
Major gifts of assets in the aftermath of Covid-19
Major gifts of assets in the aftermath of Covid-19Major gifts of assets in the aftermath of Covid-19
Major gifts of assets in the aftermath of Covid-19Russell James
 
10 Strategies for Post COVID-19 fundraising in complex and major gifts
10 Strategies for Post COVID-19 fundraising in complex and major gifts10 Strategies for Post COVID-19 fundraising in complex and major gifts
10 Strategies for Post COVID-19 fundraising in complex and major giftsRussell James
 
Top 10 charitable planning strategies for financial advisors 2020
Top 10 charitable planning strategies for financial advisors 2020Top 10 charitable planning strategies for financial advisors 2020
Top 10 charitable planning strategies for financial advisors 2020Russell James
 
The Statistics & Psychology of Baby Boomer Lifetime & Legacy Giving
The Statistics & Psychology of Baby Boomer Lifetime & Legacy GivingThe Statistics & Psychology of Baby Boomer Lifetime & Legacy Giving
The Statistics & Psychology of Baby Boomer Lifetime & Legacy GivingRussell James
 
Using "natural philanthropy" in fundraising
Using "natural philanthropy" in fundraisingUsing "natural philanthropy" in fundraising
Using "natural philanthropy" in fundraisingRussell James
 
Top 10 legacy fundraising strategies from scientific research: National data ...
Top 10 legacy fundraising strategies from scientific research: National data ...Top 10 legacy fundraising strategies from scientific research: National data ...
Top 10 legacy fundraising strategies from scientific research: National data ...Russell James
 
Natural philanthropy: How the natural origins of donor motivations drive powe...
Natural philanthropy: How the natural origins of donor motivations drive powe...Natural philanthropy: How the natural origins of donor motivations drive powe...
Natural philanthropy: How the natural origins of donor motivations drive powe...Russell James
 
Top 10 charitable planning strategies for financial advisors under the new ta...
Top 10 charitable planning strategies for financial advisors under the new ta...Top 10 charitable planning strategies for financial advisors under the new ta...
Top 10 charitable planning strategies for financial advisors under the new ta...Russell James
 
Why cash is not king in fundraising: Results from 1 million nonprofit tax ret...
Why cash is not king in fundraising: Results from 1 million nonprofit tax ret...Why cash is not king in fundraising: Results from 1 million nonprofit tax ret...
Why cash is not king in fundraising: Results from 1 million nonprofit tax ret...Russell James
 
Top 10 charitable planning strategies updated for the new tax law
Top 10 charitable planning strategies updated for the new tax lawTop 10 charitable planning strategies updated for the new tax law
Top 10 charitable planning strategies updated for the new tax lawRussell James
 
Using donor surveys in planned giving
Using donor surveys in planned givingUsing donor surveys in planned giving
Using donor surveys in planned givingRussell James
 
The hidden code behind death-related financial decisions
The hidden code behind death-related financial decisions The hidden code behind death-related financial decisions
The hidden code behind death-related financial decisions Russell James
 
Counting Revocable Planned Gifts in Fundraising - Return from Fantasy Island
Counting Revocable Planned Gifts in Fundraising - Return from Fantasy IslandCounting Revocable Planned Gifts in Fundraising - Return from Fantasy Island
Counting Revocable Planned Gifts in Fundraising - Return from Fantasy IslandRussell James
 
Planned Giving Words that Work Part II
Planned Giving Words that Work Part IIPlanned Giving Words that Work Part II
Planned Giving Words that Work Part IIRussell James
 
Church seminar in charitable estate planning
Church seminar in charitable estate planningChurch seminar in charitable estate planning
Church seminar in charitable estate planningRussell James
 
Ponzis, Pyramids, and Bubbles: An introduction to financial fraud
Ponzis, Pyramids, and Bubbles: An introduction to financial fraudPonzis, Pyramids, and Bubbles: An introduction to financial fraud
Ponzis, Pyramids, and Bubbles: An introduction to financial fraudRussell James
 
Messages that encourage bequest giving to cancer research
Messages that encourage bequest giving to cancer researchMessages that encourage bequest giving to cancer research
Messages that encourage bequest giving to cancer researchRussell James
 
Private foundations and donor advised funds
Private foundations and donor advised fundsPrivate foundations and donor advised funds
Private foundations and donor advised fundsRussell James
 
The secret to understanding planned giving
The secret to understanding planned givingThe secret to understanding planned giving
The secret to understanding planned givingRussell James
 

More from Russell James (20)

Charitable bequest fundraising: New results from 100 years of national data
Charitable bequest fundraising: New results from 100 years of national dataCharitable bequest fundraising: New results from 100 years of national data
Charitable bequest fundraising: New results from 100 years of national data
 
Major gifts of assets in the aftermath of Covid-19
Major gifts of assets in the aftermath of Covid-19Major gifts of assets in the aftermath of Covid-19
Major gifts of assets in the aftermath of Covid-19
 
10 Strategies for Post COVID-19 fundraising in complex and major gifts
10 Strategies for Post COVID-19 fundraising in complex and major gifts10 Strategies for Post COVID-19 fundraising in complex and major gifts
10 Strategies for Post COVID-19 fundraising in complex and major gifts
 
Top 10 charitable planning strategies for financial advisors 2020
Top 10 charitable planning strategies for financial advisors 2020Top 10 charitable planning strategies for financial advisors 2020
Top 10 charitable planning strategies for financial advisors 2020
 
The Statistics & Psychology of Baby Boomer Lifetime & Legacy Giving
The Statistics & Psychology of Baby Boomer Lifetime & Legacy GivingThe Statistics & Psychology of Baby Boomer Lifetime & Legacy Giving
The Statistics & Psychology of Baby Boomer Lifetime & Legacy Giving
 
Using "natural philanthropy" in fundraising
Using "natural philanthropy" in fundraisingUsing "natural philanthropy" in fundraising
Using "natural philanthropy" in fundraising
 
Top 10 legacy fundraising strategies from scientific research: National data ...
Top 10 legacy fundraising strategies from scientific research: National data ...Top 10 legacy fundraising strategies from scientific research: National data ...
Top 10 legacy fundraising strategies from scientific research: National data ...
 
Natural philanthropy: How the natural origins of donor motivations drive powe...
Natural philanthropy: How the natural origins of donor motivations drive powe...Natural philanthropy: How the natural origins of donor motivations drive powe...
Natural philanthropy: How the natural origins of donor motivations drive powe...
 
Top 10 charitable planning strategies for financial advisors under the new ta...
Top 10 charitable planning strategies for financial advisors under the new ta...Top 10 charitable planning strategies for financial advisors under the new ta...
Top 10 charitable planning strategies for financial advisors under the new ta...
 
Why cash is not king in fundraising: Results from 1 million nonprofit tax ret...
Why cash is not king in fundraising: Results from 1 million nonprofit tax ret...Why cash is not king in fundraising: Results from 1 million nonprofit tax ret...
Why cash is not king in fundraising: Results from 1 million nonprofit tax ret...
 
Top 10 charitable planning strategies updated for the new tax law
Top 10 charitable planning strategies updated for the new tax lawTop 10 charitable planning strategies updated for the new tax law
Top 10 charitable planning strategies updated for the new tax law
 
Using donor surveys in planned giving
Using donor surveys in planned givingUsing donor surveys in planned giving
Using donor surveys in planned giving
 
The hidden code behind death-related financial decisions
The hidden code behind death-related financial decisions The hidden code behind death-related financial decisions
The hidden code behind death-related financial decisions
 
Counting Revocable Planned Gifts in Fundraising - Return from Fantasy Island
Counting Revocable Planned Gifts in Fundraising - Return from Fantasy IslandCounting Revocable Planned Gifts in Fundraising - Return from Fantasy Island
Counting Revocable Planned Gifts in Fundraising - Return from Fantasy Island
 
Planned Giving Words that Work Part II
Planned Giving Words that Work Part IIPlanned Giving Words that Work Part II
Planned Giving Words that Work Part II
 
Church seminar in charitable estate planning
Church seminar in charitable estate planningChurch seminar in charitable estate planning
Church seminar in charitable estate planning
 
Ponzis, Pyramids, and Bubbles: An introduction to financial fraud
Ponzis, Pyramids, and Bubbles: An introduction to financial fraudPonzis, Pyramids, and Bubbles: An introduction to financial fraud
Ponzis, Pyramids, and Bubbles: An introduction to financial fraud
 
Messages that encourage bequest giving to cancer research
Messages that encourage bequest giving to cancer researchMessages that encourage bequest giving to cancer research
Messages that encourage bequest giving to cancer research
 
Private foundations and donor advised funds
Private foundations and donor advised fundsPrivate foundations and donor advised funds
Private foundations and donor advised funds
 
The secret to understanding planned giving
The secret to understanding planned givingThe secret to understanding planned giving
The secret to understanding planned giving
 

Recently uploaded

Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSJoshuaGantuangco2
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPCeline George
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17Celine George
 
Science 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxScience 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxMaryGraceBautista27
 
ACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfSpandanaRallapalli
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptxSherlyMaeNeri
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxAshokKarra1
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONHumphrey A Beña
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfMr Bounab Samir
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxCarlos105
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptxmary850239
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Mark Reed
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parentsnavabharathschool99
 

Recently uploaded (20)

TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptxFINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERP
 
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptxLEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17
 
Science 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxScience 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptx
 
ACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdf
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for Beginners
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice great
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptx
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptx
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parents
 

Intro to fMRI Part I: Understanding HRF and BOLD

  • 1. Hi, kids! My name is Vickie Voxel. I’m going to tell you ● ● about fMRI, HRF & BOLD. Intro to fMRI Part I: HRF & BOLD Dr. Russell James, Texas Tech University
  • 2. An fMRI picture of the brain is made up of thousands of boxes, called voxels, just like me! ● ●
  • 3. We voxels are small – usually about the size of one ● ● peppercorn
  • 4. Inside each of us voxels are thousands of neurons ● ●
  • 5. When a lot of these neurons start to fire, the body rushes in ● ● oxygen to help
  • 6. This rush of oxygen comes through the blood and makes me ● ● start to change color
  • 7. As my blood oxygen increases, I get redder ● ●
  • 9. If this keeps going, I will be totally red from all of the oxygen in my ● ● blood
  • 10. But then, if the neurons don’t keep firing, the body will stop ● ● rushing oxygen to me
  • 11. And my color will start to return to normal ● ●
  • 12. I can get a bit blue at the end if my oxygen drops too low, right before it ● ● returns to normal
  • 13. In 20 seconds after the neurons fired, I will be back to my normal ● ● color again
  • 14. This whole color change process is called my hemodynamic ● ● response
  • 15. “Hemo” means blood. “Dynamic” means change. ● ● So, hemodynamic response is my “blood-change” Blood Oxygen Level ● ● ● ● response. ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 SECONDS after neurons fire  
  • 16. When we model this change with math, we call it a ● ● hemodynamic response function Blood Oxygen Level ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 SECONDS after neurons fire  
  • 17. But, saying “hemodynamic response ● ● function” takes too long, so we will just call it Blood Oxygen Level ● ● ● ● the HRF ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 SECONDS after neurons fire  
  • 18. ● The HRF Blood Oxygen Level ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 SECONDS after neurons fire  
  • 19. The fMRI machine can see my color change because blood with a lot of oxygen (red) is less attracted to magnets than blood without much oxygen (pink or blue). ● ● ● ●
  • 20. But, instead of showing pictures in red, pinks, and blues, the fMRI creates black and white pictures. Differences in magnetism are shown as shades of light and dark. ● ● ● ● ● ● ● ●
  • 21. The fMRI machine is measuring a BOLD signal because the color is Blood Oxygen Level Dependent ● ● ● ● High blood oxygen Low blood oxygen ● ● ● ●
  • 22. So, instead of an HRF looking like this… ● ● Blood Oxygen Level ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 SECONDS after neurons fire  
  • 23. The fMRI shows an HRF that looks like this… ● ● Blood Oxygen Level ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 SECONDS after neurons fire  
  • 24. Because the color tells us the blood oxygen level, we ● ● really don’t need a vertical axis… Blood Oxygen Level ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 SECONDS after neurons fire  
  • 25. We can just use one line ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 SECONDS after neurons fire  
  • 26. And, if we always take a picture every 2 seconds, then we don’t even need the seconds on the bottom ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 SECONDS after neurons fire  
  • 27. So, all of our HRF information is shown on the Neuron timeline below firing starts ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●
  • 28. But, instead of a Neuron firing series of colors, starts the fMRI machine gives us numbers 180 200         250       305        249         201       182       172         180 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●
  • 29. The fMRI records a Neuron number for the firing magnetism of each voxel starts at each time 180 200         250       305        249         201       182       172         180 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●
  • 30. If we take a picture every 3 seconds for 7 minutes, we get 140 numbers for each voxel
  • 31. And we might have 100,000 or so voxels in the whole brain
  • 32. 20 images per minute X 7 minutes X 100,000 voxels X 20 people = 280 million data points We can’t track it by hand!
  • 33. So we have to ask the computer to analyze the data
  • 34. But the computer needs to know WHAT to look for and WHEN to look for it
  • 35. So WHAT are we looking for?
  • 36. We are looking for changes in the signal that look like this ● ● Blood Oxygen Level ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 SECONDS
  • 37. We are looking for changes in the signal that look like this ● ● Blood Oxygen Level ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 SECONDS
  • 38. We are looking for changes in the signal that look like this… because this looks like an HRF, meaning it was caused by a large group of neurons firing 180 200         250       305        249         201       182       172         180 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●
  • 39. We are looking for changes in the signal that look like this… because this looks like an HRF, meaning it was caused by a large group of neurons firing 180 200         250       305        249         201       182       172         180 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●
  • 40. WHEN are we looking for this HRF-like signal?
  • 41. We are interested in the HRF-like signals that happen right after the subject experiences something + + + + +
  • 42. Then we can estimate the likelihood that a voxel, or group of voxels, is responding to the stimulus
  • 43. This simple concept can be difficult in practice because: 1. The signal change is small 2. The brain is noisy
  • 44. This simple concept can be difficult in practice because: 1. The signal change is small 2. The brain is noisy Overcoming these barriers requires: Good study design + Good data analysis
  • 45. Bye for now! Next time we will look at how to create a good study ● ● design. Intro to fMRI Part I: HRF & BOLD Dr. Russell James, Texas Tech University