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==What Does the Lab Do?==
 
==What Does the Lab Do?==
  
We seek to understand the neural underpinnings of affective (emotional) experience and expression. This endeavor necessarily involves seeking to characterize the neuroanatomical circuits involved: their components, their inputs, and their outputs, as well as the relevant neurochemical modulators (e.g., dopamine). Our progress ultimately relies upon informed use of both psychological theory and neuroscience methodology.
+
Our research seeks to elucidate the neural underpinnings of emotion. Our progress ultimately relies upon a symbiosis of psychological theory and neuroscience methods.
 
+
  
 
==Lab Goals==
 
==Lab Goals==
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*To innovate and create new technologies and techniques for tracking affective dynamics in the brain.
 
*To innovate and create new technologies and techniques for tracking affective dynamics in the brain.
  
In short, we've got a lot of very exciting things going on! Our research informs our views of all sorts of compelling aspects of human experience: how we make decisions (it's easy to see how decisions in economic contexts could also apply more broadly to decisions in other facets of life, from morality to what we're having for breakfast), ways in which our heuristics (rules-of-thumb for making decisions) may fail us (don't buy that stock!), how mental illness and mental deficits develop, how they can be diagnosed, and how they can be treated (many, as you may know, involve difficulties in decision-making; therefore the regions we study may be atypical in these disorders). Additionally, we're slowly unraveling a small part of the enormous complexity that is our brain, and that's just plain exciting.
+
Basically, our current focus is on how emotion influences decisions (including financial) and mental health symptoms.
 +
This proactive view differs from the traditional view of emotion, which emphasizes emotion's reactive nature.
 +
The phrase "anticipatory affect" refers to valenced and aroused emotions that occur when people are anticipating an uncertain outcome.
 +
We think these these states are best situated to influence what we do next.
  
 
==Overview of Research Process==
 
==Overview of Research Process==
  
Generally speaking, research in the lab follows this general, intuitive trajectory:
+
Generally speaking, research in the lab follows this trajectory (a.k.a., the "pipeline"):
  
BRAINSTORM → IRB PROPOSAL → PILOT → TWEAK & IMPROVE RECRUIT SUBJECTS RUN PROCESS DATA → ANALYSIS → PUBLICATION → FAME AND FORTUNE
+
BRAINSTORM → IRB PROPOSAL → PILOT → TWEAK → BEHAVIORAL STUDY FMRI STUDY PROCESSING → ANALYSIS → PUBLICATION → FAME AND FORTUNE
  
We’ll discuss each of these steps in turn in later sections, but for now let’s talk more specifically about the regions of the brain we’ve been focusing on in recent years. In this section we’ll summarize our findings and give you a sense for what activation looks like and where it’s located.
+
Each of these steps appears later in greater detail, but first, an overview of key regions and their functions.  
  
==Summary of the Lab's Primary Publications==
+
==Relevant Review==
  
'''Knutson, B., Westdorp, A., Kaiser, E., & Hommer, D. (2000). FMRI visualization of brain activity during a monetary incentive delay task. NeuroImage, 12, 20-27.'''[[http://spanlab.stanford.edu/images/publications/bk00ni.pdf]]
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Knutson, B., Greer, S. M. (2008). Anticipatory affect: Neural correlates and consequences for choice. Philosophical Transactions of the Royal Society B, 363, 3771-3786.[[http://www-psych.stanford.edu/~span/Publications/bk08prsb.pdf]]
  
This paper introduces the event-related imaging of independent tasks, in which some trials give the subject the opportunity to win money (reward tasks) and others expose the subject to the possibility of losing money (punishment tasks). The findings indicte that both reward and punishment task lead to activation of the caudate, putamen, medial prefrontal cortex, and left motor cortex. In addition, punishment tasks also lead to the activation of the thalamus and anterior cingulate. And (although it was not predicted in the hypothesis) visual evidence indicated that the anterior insula might be active in both reward and punishment tasks as well.
+
Before plowing into the details of data collection, processing, analysis, and writeup, you may want to skim these FAQs.
  
'''Knutson, B., Adams, C. S., Fong, G. W. & Hommer, D. (2001). Anticipation of monetary reward selectively recruits nucleus accumbens. Journal of Neuroscience, 21, RC159.'''[[http://spanlab.stanford.edu/images/publications/bk01jn.pdf]]
+
==Who's Who?==
  
This study uses the Monetary Incentive Delay (MID) task to investigate the role of the nucleus accumbens (NAcc). Different cues, each indicating some value of potential reward, punishment, or neutral result, are presented to the subject, and images are taken while the subject anticipates the result. The study found that NAcc activation increased proportionally with increasing rewards, but did not change during punishment trials.
+
Principal Investigator: Brian Knutson
 +
* Gets money
 +
* Keeps money (i.e., funding reports)
 +
* Writes papers
 +
* Gets everyone else jobs
 +
(also teaching, serving on committees, and a bunch of other obligations that have nothing to do with his training)
  
'''Knutson, B., Fong, G. W., Adams, C. S., & Hommer, D. (2001). Dissociation of reward anticipation versus outcome with event-related FMRI. NeuroReport, 12, 3683-3687.'''[[http://spanlab.stanford.edu/images/publications/bk01nr.pdf]]
+
Lab Coordinator: Andrew Trujillo
 
+
* Tracks finances (i.e., subject payment money and forms)
A further refinement of the MID task, this study uses images during both the anticipatory period and the period during which the subject knew the extent of monetary gain or loss. It confirms the activation of the NAcc in anticipation of reward, and it also demonstrates that the NAcc activation falls again as rewards are obtained and is actually suppressed if expected rewards are not obtained, indicating that the NAcc is specifically associated with the anticipation of reward. The study also shows that a region of the medial prefrontal cortex (MPFC), while not affected by the anticipation of reward or punishment, is deactivated during unobtained reward outcomes.
+
* Updates human subjects approval
 
+
* Purchases new equipment
'''Knutson, B., Fong, G. W., Bennett, S. M., Adams, C. S., & Hommer, D. (2003). A region of mesial prefrontal cortex tracks monetarily rewarding outcomes: Characterization with rapid event-related FMRI. NeuroImage, 18, 263-272.'''[[http://spanlab.stanford.edu/images/publications/bk03ni.pdf]]
+
* Maintains computers
 
+
* Mines data and optimizes algorithms
Following up on the 2001 NeuroReport paper, this study uses the MID task to further investigate the role of the MPFC. Again confirming the proportional activation of the ventral striatum (including the NAcc) during the anticipation of reward, this study demonstrates that the MPFC shows proportional activation with reward outcomes.
+
* Implements personal projects
 
+
* Maintains lab group schedule
'''Knutson, B., Bjork, J. M., Fong, G. W., Hommer, D. W., Mattay, V. S., & Weinberger, D. R. (2004). Amphetamine modulates human incentive processing. Neuron, 43, 261-269.'''[[http://spanlab.stanford.edu/images/publications/bk04n.pdf]]
+
 
+
Combining the MID task with the application of amphetamines, this study demonstrates that, during the anticipation of gains, treatment with amphetamines decreases the peak magnitude of activation of the ventral striatum (including the NAcc), but it extends the duration of activation. In addition, amphetamine treatment increases both the activation of the ventral striatum and the positive affect of the subject during the anticipation period of loss trials, leading to speculation that amphetamines might mediate the reframing of loss trials in a more positive manner.
+
 
+
'''Kuhnen, C. M., & Knutson, B. (2005). The neural basis of financial risk-taking. Neuron, 47, 763-770.'''[[http://spanlab.stanford.edu/images/publications/ck05n.pdf]]
+
 
+
This paper introduces the Behavioral Investment Allocation Strategy (BIAS) task, using it to investigate the roles of the NAcc and the anterior insula in relation to risk and reward. The BIAS task has subjects choose among one "good" stock, one "bad" stock, and one bond, where the bond always provides a small, unchanging, positive return, and the stocks provide variable returns, with the good stock providing significantly better average returns than the bad stock. This system allows optimal choices to be operationalized and suboptimal choices to be categorized as risk-seeking mistakes or risk-aversion mistakes. In this study, NAcc activation precedes both risky choices and risk-seeking mistakes while anterior insula activation precedes both riskless choices and risk-aversion mistakes.
+
 
+
'''Samanez-Larkin, G. R., Gibbs, S. E. B., Khanna, K., Nielsen, L., Carstensen, L. L., Knutson, B. (2007). Anticipation of monetary gain but not loss in healthy older adults. Nature Neuroscience, 10, 787-791.'''[[http://www.nature.com/neuro/journal/v10/n6/pdf/nn1894.pdf]]
+
 
+
A comparison of MID task brain activations of younger (20-somethings) and older (70-somethings) adults, this study demonstrates that older adults show intact brain activation during reward anticipation (the ventral striatum, medial caudate, and anterior insula all activate as they do in younger adults). But during loss anticipation, the older adults show decreased activation of the anterior insula and medial caudate, indicating that an asymmetry may develop between reward and loss anticipation as a person ages.
+
 
+
'''Samanez-Larkin, G. R., Hollon, N. G., Carstensen, L. L., Knutson, B. (2008). Individual differences in insular sensitivity during loss anticipation predict avoidance learning. Psychological Science, 19, 320-323.'''[[http://spanlab.stanford.edu/images/publications/gs08ps.pdf]]
+
 
+
By combining the MID task with a simple loss-avoidance learning task 6 months later, this study shows that the degree of activation of the anterior insula during the anticipation of loss during the MID task correlates with the later ability to learn loss-avoidance behavior.
+
 
+
'''Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., Loewenstein, G. (2007). Neural predictors of purchases. Neuron, 53, 147-157.'''[[http://spanlab.stanford.edu/images/publications/bk07n.pdf]]
+
 
+
The SHOP (Save Holdings or Purchase) task presents the subject a variety of products and allows them to choose whether or not to purchase them at a given price, allowing the brain to be imaged upon presentation of the product, presentation of the price, and during the actual choice. This study shows that activation of the NAcc correlates with product preference (seemingly a correlate for reward anticipation), while anterior insula activation correlates with excessively high prices (and deactivation of the MPFC).
+
 
+
'''Knutson, B., Wimmer, G. E., Kuhnen, C. M., Winkielman, P. (2008). Nucleus accumbens activation mediates the influence of reward cues on financial risk taking. NeuroReport, 19, 509-513.'''[[http://spanlab.stanford.edu/images/publications/bk08nr.pdf]]
+
 
+
This study combines the presentation of a visual stimulus (positive, negative, or neutral) with a gambling task allowing either a high-risk or a low-risk choice. Viewing a positive stimulus increases the subsequent risk-taking behavior of the subject, a result which is partially mediated by the increased activation of the NAcc due to the anticipation of viewing the positive stimulus.
+
 
+
==Areas of the Brain We are Interested In==
+
 
+
The reward circuitry we focus on consists of the medial prefrontal cortex, the ventral tegmental area, and the ventral striatum (which consists, in turn, of the caudate nucleus, the putamen, the nucleus accumbens (NAcc), and the fundus, which links the latter two ventrally). These names will mean more to you shortly if you’re unfamiliar with anatomy.
+
 
+
What roles do these structures play in the reward circuitry? Where are they located relative to one another?
+
 
+
===Nucleus accumbens (Nacc)===
+
 
+
Nucleus accumbens (Nacc) [10, 12, -2]: The NAcc is located inferior to the caudate at the bottom of the internal capsule (the white line separating the caudate from the putamen). This is easiest to see in the coronal view. We see Nacc activation when subjects are anticipating gain, whether it’s anticipation of winning something (money, material goods, tasty food or drink), or simply thinking positively about themselves in the future – in other words, anticipation of an improved future self.
+
 
+
See: Knutson, B., Fong, G. W., Adams, C. S., & Hommer, D. (2001).[[http://spanlab.stanford.edu/images/publications/bk01nr.pdf]]
+
 
+
Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., Loewenstein, G. (2007).
+
 
+
Knutson, B., Wimmer, G. E., Kuhnen, C. M., Winkielman, P. (2008).
+
 
+
[[Image:Nacc.png]]
+
 
+
Figure 1. Coronal view of the striatum.
+
 
+
[[Image:Nacc2.png]]
+
 
+
Figure 2. Area delineations
+
 
+
===Medial prefrontal cortex (mpfc)===
+
 
+
Medial prefrontal cortex (mpfc) [+/-4, 50, -4]: The mpfc is a bit trickier to locate.  Generally speaking, you want to look for a “crooked” gyrus approximately midway between the anterior edge and the corpus callosum; as a rule of thumb it’s approximately three gyri up if you’re viewing it axially. The mpfc is activated in response to doing something related to good outcomes for you. (You expected something good to happen, did it?) Another hypothesis is that it’s doing something related to self vs other. We also see more activation here in response to cues subjects have been told signal a higher probability of winning relative to other cues (for less probable outcomes). [[citations go here as well.]]
+
 
+
[[Image:MPFC.jpg]]
+
 
+
In this image the subject’s nose has wrapped around to the other side of the image. We’re not sure why this happens, but it’s no big deal as it has no effect on your data processing.
+
 
+
Ventral tegmental area (VTA) [0, ?14?, -16]: In figure 4 the cross hairs are resting on the lower (inferior) margin of the VTA (just above the brain stem protrusion below it). The VTA creates a unique U- or V-shape visible in the axial view (this is a good way to check that you’re on-target); see figure 4b for a good look at this. Midbrain dopamine neurons that originate in the VTA fire in response to unexpected (but not expected?) rewards and in response to reward cues. These neurons project onto other, more distant regions, including the striatum and the mpfc. The neurons, also known as subcortical or midbrain dopamine neurons, release dopamine during rewards and during reward prediction. The amygdala, ventral striatum, OFC (orbito frontal cortex), and MPFC are all enervated by mesolimbic dopamine projected neurons. For more on dopamine function, see Knutson, 2007: Linking Nucleus accumbens dopamine and blood oxygenation. [[Other citations go here as well.]]
+
 
+
[[Image:VTA1.jpg]]
+
 
+
[[Image:VTA2.jpg]]
+
 
+
[[Image:Dopa.jpg]]
+
 
+
Dorsal caudate: The dorsal caudate is the most superior (dorsal) part of the caudate.  It is thought to link reward to behavior.  Perception of a causal relationship between movements and outcomes causes activation here. [[citations]]
+
 
+
[[Image:Dorsalcaudate.jpg]]
+
 
+
We also observe anterior cingulate activation for things that are risky or cause mental conflict (consideration of gains and losses); in other words, the anterior cingulate seems to be involved in risk assessment. [[citations]]
+
 
+
[[Image:Acc.jpg]]
+
 
+
What does activation look like?  Once you’ve processed (you’ll learn about this later, see page X), smoothed (see page X), and run your models (see page X) on your data, you’ll be able to view volumes (a volume is the full-brain, 3D set of images constructed from the 2D images – one full brain = one volume) that consist of your functional data overlaid on your anatomical images. They will look something like this:
+
 
+
[[Image:Doublecaudate.jpg]]
+
 
+
The image on the left shows significant activation in the dorsal caudate.  The image on the right (same subject, different contrast – see page X) is more difficult to determine – it’s most likely a combination of putamen and caudate, but the data has smeared over the internal capsule due to (a) averaging across subjects and (b) limitations on our resolution (a voxel is currently ~ 4mm to each side). The internal capsule is a tract of white matter, and thus shouldn’t show a BOLD response (only grey matter does so).
+
 
+
Note that the activation here is smoothed.  When you first look at it the data will probably not look smooth – smoothed vs unsmoothed viewing is an option in AFNI (see the AFNI section, page X).
+
 
+
The images above have had noise outside the brain removed.  Your data may not be so pretty.  It may, in fact, appear to have all sorts of alarming ‘activations’ outside the brain.
+
 
+
These “activations” are due to inhomogeneities in the magnetic field outside the brain, and do not necessarily indicate that there’s anything wrong with your data.  The MRI machine has been perfectly calibrated to look at (a) the volume of space occupied by the brain and (b) organic material.  Air, therefore, has different properties, and will respond in different ways. – BRIAN, AM I MAKING THIS UP?
+
 
+
If ever you’re not sure whether your region of activation is in one region of the brain or another, AFNI has a neat little widget that allows you to check.  Right click the image, then click on “Where am I?”  You should also check with Brian, as AFNI isn’t foolproof and it’s good to have a second pair of eyes.
+
 
+
So those are the regions of interest with which the lab concerns itself.  [Future directions]
+
  
Before plowing into the nitty-gritty details of data collection, processing, and analysis, let’s talk about some general lab FAQs.
+
Administrative Assistant: Erlinda Viray
 +
* Financially reimburses
 +
* Purchases
 +
* Mails and faxes
  
==What to do when you're new to the lab==
+
==How do I get started?==
  
'''Undergraduates. If you’re an undergraduate, you’ll want to:'''
+
'''Undergraduates.'''
  
 
*Take some serious time over the course of a week or two to read Scott Huettel’s Functional Magnetic Resonance Imaging textbook. Aside from some unavoidably gnarly physics, it’s well-written and accessible to readers, even those with very little background in psychology or biology. Don’t worry about retaining everything; a good once-through will make what we do here in the lab a lot more understandable.
 
*Take some serious time over the course of a week or two to read Scott Huettel’s Functional Magnetic Resonance Imaging textbook. Aside from some unavoidably gnarly physics, it’s well-written and accessible to readers, even those with very little background in psychology or biology. Don’t worry about retaining everything; a good once-through will make what we do here in the lab a lot more understandable.
 
*Read through this manual.
 
*Read through this manual.
*Spend some QT with the lab’s Unix/Linux books.  This will save you time later on.
+
*Spend some quality time with the lab’s Unix/Linux books.  This will save you time later on.
 
*Familiarize yourself with the lab’s publications.  They’re available on the lab homepage (www-psych.stanford.edu/~span/).
 
*Familiarize yourself with the lab’s publications.  They’re available on the lab homepage (www-psych.stanford.edu/~span/).
 
*Talk to the lab coordinator to see if there’s anything else you need to do.
 
*Talk to the lab coordinator to see if there’s anything else you need to do.
  
'''Graduate Students. If you’re a graduate student, you’ll need to:'''
+
'''Graduate Students.'''
  
 
*Figure out what your SUId name and SUId number are.
 
*Figure out what your SUId name and SUId number are.
Line 158: Line 81:
 
*If you’re not already an fMRI guru, take some serious time over the course of a week or two to read Scott Huettel’s Functional Magnetic Resonance Imaging textbook. Aside from some unavoidably gnarly physics, it’s well-written and accessible to most readers, even those with very little background in psychology or biology. Don’t worry about retaining everything; a good once-through will make what we do here in the lab a lot more understandable.
 
*If you’re not already an fMRI guru, take some serious time over the course of a week or two to read Scott Huettel’s Functional Magnetic Resonance Imaging textbook. Aside from some unavoidably gnarly physics, it’s well-written and accessible to most readers, even those with very little background in psychology or biology. Don’t worry about retaining everything; a good once-through will make what we do here in the lab a lot more understandable.
  
'''RAs. If you’re an RA, you’ll need to:'''
+
'''RAs.'''
  
 
*Contact Anne Sawyer (amsawyer@stanford.edu) to sign up for the next available scanner safety course.  Be sure to tell her your name, your lab association, and that you will be in the lab for more than six months.  The Lucas Center does not train people who will not be using the magnet for more than half a year.  You cannot enter the magnet room without this training.
 
*Contact Anne Sawyer (amsawyer@stanford.edu) to sign up for the next available scanner safety course.  Be sure to tell her your name, your lab association, and that you will be in the lab for more than six months.  The Lucas Center does not train people who will not be using the magnet for more than half a year.  You cannot enter the magnet room without this training.
Line 173: Line 96:
 
*You’ll also want to make sure you’re comfortable with EPrime (a popular psychology experiment package that allows you to create experiment modules on the computer -- we use this for the stimuli subjects see while in the scanner) and the Linux environment.
 
*You’ll also want to make sure you’re comfortable with EPrime (a popular psychology experiment package that allows you to create experiment modules on the computer -- we use this for the stimuli subjects see while in the scanner) and the Linux environment.
  
==Orienting yourself in the lab.==
+
==What's where?==
  
 
SPAN lab is small in physical size and big on ideas. The lab space can be broken into four areas: room 465 (the main SPAN lab room), room 467 (the SPAN experiment room), the Lucas Center (this is where we scan, it’s located at the Med School), and grad student offices.
 
SPAN lab is small in physical size and big on ideas. The lab space can be broken into four areas: room 465 (the main SPAN lab room), room 467 (the SPAN experiment room), the Lucas Center (this is where we scan, it’s located at the Med School), and grad student offices.
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'''Lucas Center:'''
 
'''Lucas Center:'''
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'''Other:'''  dmthal and amygdala (the main Linux stations), mpfc, and nacc (with older data) can be accessed remotely from any computer.
 
'''Other:'''  dmthal and amygdala (the main Linux stations), mpfc, and nacc (with older data) can be accessed remotely from any computer.
'''
+
'''Kitchen Facilities'''
Kitchen Facilities'''
+
 
We share kitchen space with the rest of the fourth floor.  As you exit the lab coordinator’s office, turn left, and left again.  Walk past the water fountain, then turn right. You’ll find a small kitchen space (communal fridge, microwave, sink) and a table.  Please label your food and don’t let it become the source of a CDC level 3 quarantine.
 
We share kitchen space with the rest of the fourth floor.  As you exit the lab coordinator’s office, turn left, and left again.  Walk past the water fountain, then turn right. You’ll find a small kitchen space (communal fridge, microwave, sink) and a table.  Please label your food and don’t let it become the source of a CDC level 3 quarantine.
  
Line 246: Line 166:
 
'''Printing.'''
 
'''Printing.'''
 
The HP 2500 printer in the main office can be added to your print options on a Mac by going to System Preferences → Print and Fax → click on the plus sign on the lefthand side just under the printer box → Protocol: Internet Printing Protocol | Address: 172.24.204.128 | Queue: leave blank for default queue | Name: spanlab.stanford.edu | Location: spanlab.stanford.edu.  Not completely sure on the paper sheet number or the memory size, but I just set it to 250 and the smallest mem size and it worked fine.
 
The HP 2500 printer in the main office can be added to your print options on a Mac by going to System Preferences → Print and Fax → click on the plus sign on the lefthand side just under the printer box → Protocol: Internet Printing Protocol | Address: 172.24.204.128 | Queue: leave blank for default queue | Name: spanlab.stanford.edu | Location: spanlab.stanford.edu.  Not completely sure on the paper sheet number or the memory size, but I just set it to 250 and the smallest mem size and it worked fine.
 +
 +
'''Copying'''
 +
The main copy room is located in the Basement. You can access it with your Stanford ID card (Talk to Harry Bahlman, the Building manager, if you need access). To make copies you need our lab copy code: 11125. If the material you are copying is course related (syllabus, exams, etc) use code: 22681.
  
 
'''Purchasing.'''
 
'''Purchasing.'''
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'''Recycling'''
 
'''Recycling'''
There are currently no recycling bins in the lab, per se. There are, however, large recycling bins in the east stairwell and in the hallway that runs east-west down the center of the department.
+
There are currently no recycling bins in the lab, per se. There are, however, large recycling bins for paper and containers in the east stairwell and in the hallway that runs east-west down the center of the department. Recycling bins for used batteries and CDs are located in the photocopy room in the basement.
  
 
'''Reimbursements'''
 
'''Reimbursements'''
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'''(Paper) Scanning'''
 
'''(Paper) Scanning'''
 
Multimedia room 361 has a slide scanner and other multimedia stuff.  Go here to scan in papers or bills.  You'll need to get Harry, the building manager, to program your ID card so that you can get into this room.
 
Multimedia room 361 has a slide scanner and other multimedia stuff.  Go here to scan in papers or bills.  You'll need to get Harry, the building manager, to program your ID card so that you can get into this room.
 +
 +
==Areas of the Brain We are Interested In==
 +
 +
The reward circuitry we've focused on consists of the medial prefrontal cortex, the ventral tegmental area, and the ventral striatum (which consists, in turn, of the caudate nucleus, the putamen, the nucleus accumbens (NAcc), and the fundus, which links the latter two ventrally). These names will mean more to you shortly if you’re unfamiliar with anatomy.
 +
 +
What roles do these structures play in the reward circuitry? Where are they located relative to one another?
 +
 +
===Nucleus accumbens (NAcc)===
 +
 +
Nucleus accumbens (Nacc) [10, 12, -2]: The NAcc is located inferior to the caudate at the bottom of the internal capsule (the white line separating the caudate from the putamen). This is easiest to see in the coronal view. We see Nacc activation when subjects are anticipating gain, whether it’s anticipation of winning something (money, material goods, tasty food or drink), or simply thinking positively about themselves in the future – in other words, anticipation of an improved future self.
 +
 +
See: Knutson, B., Fong, G. W., Adams, C. S., & Hommer, D. (2001).
 +
 +
Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., Loewenstein, G. (2007).
 +
 +
Knutson, B., Wimmer, G. E., Kuhnen, C. M., Winkielman, P. (2008).
 +
 +
[[Image:Nacc.png]]
 +
 +
Figure 1. Coronal view of the striatum.
 +
 +
[[Image:Nacc2.png]]
 +
 +
Figure 2. Area delineations
 +
 +
===Medial prefrontal cortex (mpfc)===
 +
 +
Medial prefrontal cortex (mpfc) [+/-4, 50, -4]: The mpfc is a bit trickier to locate.  Generally speaking, you want to look for a “crooked” gyrus approximately midway between the anterior edge and the corpus callosum; as a rule of thumb it’s approximately three gyri up if you’re viewing it axially. The mpfc is activated in response to doing something related to good outcomes for you. (You expected something good to happen, did it?)  Another hypothesis is that it’s doing something related to self vs other. We also see more activation here in response to cues subjects have been told signal a higher probability of winning relative to other cues (for less probable outcomes).
 +
 +
See: Knutson, B., Fong, G. W., Adams, C. S., & Hommer, D. (2001).
 +
 +
Knutson, B., Fong, G. W., Bennett, S. M., Adams, C. S., & Hommer, D. (2003).
 +
 +
Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., Loewenstein, G. (2007).
 +
 +
[[Image:MPFC.jpg]]
 +
 +
In this image the subject’s nose has wrapped around to the other side of the image. We’re not sure why this happens, but it’s no big deal as it has no effect on your data processing.
 +
 +
Ventral tegmental area (VTA) [0, ?14?, -16]: In figure 4 the cross hairs are resting on the lower (inferior) margin of the VTA (just above the brain stem protrusion below it). The VTA creates a unique U- or V-shape visible in the axial view (this is a good way to check that you’re on-target); see figure 4b for a good look at this. Midbrain dopamine neurons that originate in the VTA fire in response to unexpected (but not expected?) rewards and in response to reward cues. These neurons project onto other, more distant regions, including the striatum and the mpfc. The neurons, also known as subcortical or midbrain dopamine neurons, release dopamine during rewards and during reward prediction. The amygdala, ventral striatum, OFC (orbito frontal cortex), and MPFC are all enervated by mesolimbic dopamine projected neurons. For more on dopamine function, see Knutson, 2007: Linking Nucleus accumbens dopamine and blood oxygenation.
 +
 +
See: Knutson, B., Westdorp, A., Kaiser, E., & Hommer, D. (2000).
 +
 +
[[Image:VTA1.jpg]]
 +
 +
[[Image:VTA2.jpg]]
 +
 +
[[Image:Dopa.jpg]]
 +
 +
Dorsal caudate: The dorsal caudate is the most superior (dorsal) part of the caudate.  It is thought to link reward to behavior.  Perception of a causal relationship between movements and outcomes causes activation here.
 +
 +
See: Knutson, B., Westdorp, A., Kaiser, E., & Hommer, D. (2000).
 +
 +
[[Image:Dorsalcaudate.jpg]]
 +
 +
We also observe anterior cingulate activation for things that are risky or cause mental conflict (consideration of gains and losses); in other words, the anterior cingulate seems to be involved in risk assessment.
 +
 +
See: Knutson, B., Westdorp, A., Kaiser, E., & Hommer, D. (2000).
 +
 +
[[Image:Acc.jpg]]
 +
 +
What does activation look like?  Once you’ve processed, smoothed, and run your models on your data, you’ll be able to view volumes (a volume is the full-brain, 3D set of images constructed from the 2D images – one full brain = one volume) that consist of your functional data overlaid on your anatomical images. They will look something like this:
 +
 +
[[Image:Doublecaudate.jpg]]
 +
 +
The image on the left shows significant activation in the dorsal caudate.  The image on the right (same subject, different contrast) is more difficult to determine – it’s most likely a combination of putamen and caudate, but the data has smeared over the internal capsule due to (a) averaging across subjects and (b) limitations on our resolution (a voxel is currently ~ 4mm to each side). The internal capsule is a tract of white matter, and thus shouldn’t show a BOLD response (only grey matter does so).
 +
 +
Note that the activation here is smoothed.  When you first look at it the data will probably look unsmoothed or "blocky" – smoothed vs unsmoothed viewing is an option in AFNI (see the AFNI section, page X).
 +
 +
The images above have had noise outside the brain removed.  Your data may not be so pretty.  It may, in fact, appear to have all sorts of alarming ‘activations’ outside the brain.
 +
 +
These 'activations' are due to inhomogeneities in the magnetic field outside the brain, and do not necessarily indicate that there’s anything wrong with your data.  The MRI machine has been perfectly calibrated to look at (a) the volume of space occupied by the brain and (b) organic material. Correlated activations outside the brain could be due to muscle movement, peripheral movement, 'ghosting' (reflection of internal activity outside), outliers, or simply setting your threshold too low.
 +
 +
If ever you’re not sure whether your region of activation is in one region of the brain or another, AFNI has a neat little widget that allows you to check.  Right click the image, then click on “Where am I?”  You should also check with Brian, as AFNI isn’t foolproof and it’s good to have a second pair of eyes.
 +
 +
So those are the regions of interest with which the lab concerns itself.  [Future directions]

Latest revision as of 22:20, 10 July 2023

Back to Lab Manual

What Does the Lab Do?

Our research seeks to elucidate the neural underpinnings of emotion. Our progress ultimately relies upon a symbiosis of psychological theory and neuroscience methods.

Lab Goals

  • To characterize the anatomical trajectories of affective circuits in the brain.
  • To characterize how psychopharmacological (drug) manipulations modulate affective experience.
  • To understand how the function of these affective circuits is damaged in affective disorders and addiction.
  • To understand how psycho- and pharmaco- therapies can normalize damaged affective circuits.
  • To understand, by reducing the problem to its individual components, how affective circuitry modulates decision-making and economic behavior
  • To innovate and create new technologies and techniques for tracking affective dynamics in the brain.

Basically, our current focus is on how emotion influences decisions (including financial) and mental health symptoms. This proactive view differs from the traditional view of emotion, which emphasizes emotion's reactive nature. The phrase "anticipatory affect" refers to valenced and aroused emotions that occur when people are anticipating an uncertain outcome. We think these these states are best situated to influence what we do next.

Overview of Research Process

Generally speaking, research in the lab follows this trajectory (a.k.a., the "pipeline"):

BRAINSTORM → IRB PROPOSAL → PILOT → TWEAK → BEHAVIORAL STUDY → FMRI STUDY → PROCESSING → ANALYSIS → PUBLICATION → FAME AND FORTUNE

Each of these steps appears later in greater detail, but first, an overview of key regions and their functions.

Relevant Review

Knutson, B., Greer, S. M. (2008). Anticipatory affect: Neural correlates and consequences for choice. Philosophical Transactions of the Royal Society B, 363, 3771-3786.[[1]]

Before plowing into the details of data collection, processing, analysis, and writeup, you may want to skim these FAQs.

Who's Who?

Principal Investigator: Brian Knutson

  • Gets money
  • Keeps money (i.e., funding reports)
  • Writes papers
  • Gets everyone else jobs

(also teaching, serving on committees, and a bunch of other obligations that have nothing to do with his training)

Lab Coordinator: Andrew Trujillo

  • Tracks finances (i.e., subject payment money and forms)
  • Updates human subjects approval
  • Purchases new equipment
  • Maintains computers
  • Mines data and optimizes algorithms
  • Implements personal projects
  • Maintains lab group schedule

Administrative Assistant: Erlinda Viray

  • Financially reimburses
  • Purchases
  • Mails and faxes

How do I get started?

Undergraduates.

  • Take some serious time over the course of a week or two to read Scott Huettel’s Functional Magnetic Resonance Imaging textbook. Aside from some unavoidably gnarly physics, it’s well-written and accessible to readers, even those with very little background in psychology or biology. Don’t worry about retaining everything; a good once-through will make what we do here in the lab a lot more understandable.
  • Read through this manual.
  • Spend some quality time with the lab’s Unix/Linux books. This will save you time later on.
  • Familiarize yourself with the lab’s publications. They’re available on the lab homepage (www-psych.stanford.edu/~span/).
  • Talk to the lab coordinator to see if there’s anything else you need to do.

Graduate Students.

  • Figure out what your SUId name and SUId number are.
  • Check to see if your Stanford email account is working; you can do this at webmail.stanford.edu.
  • Go to the ID office to get an ID card.
  • Talk to Harry Bahlman, the building facilities manager/guru, about obtaining a key to your office and swipe card access to the building. Harry is located on the LL (lower level) in room 01-420. You can also email him at harry@psych.stanford.edu.
  • Bring computer to Peter to get it set up for wireless. Also for a psych email address.
  • Contact Anne Sawyer to sign up for a scanner safety training course (amsawyer@stanford.edu); it’s required before you can enter the magnet room and it’s only held once or twice a month.
  • To run human subjects, you need to complete the university’s human subjects use course, which is run by CITI.
  • You’ll also want to read about the rules and regulations particular to Stanford in the Research Policy Handbook (http://www.stanford.edu/dept/DoR/rph/Chpt7.html/), and on the Stanford Human Subjects Research page (http://humansubjects.stanford.edu/)
  • Make sure you’re comfortable with EPrime (a popular psychology experiment package that allows you to create experiment modules on the computer -- we use this for the stimuli subjects see while in the scanner) and the Linux environment.
  • If you’re not already an fMRI guru, take some serious time over the course of a week or two to read Scott Huettel’s Functional Magnetic Resonance Imaging textbook. Aside from some unavoidably gnarly physics, it’s well-written and accessible to most readers, even those with very little background in psychology or biology. Don’t worry about retaining everything; a good once-through will make what we do here in the lab a lot more understandable.

RAs.

  • Contact Anne Sawyer (amsawyer@stanford.edu) to sign up for the next available scanner safety course. Be sure to tell her your name, your lab association, and that you will be in the lab for more than six months. The Lucas Center does not train people who will not be using the magnet for more than half a year. You cannot enter the magnet room without this training.
  • If you’re not already an fMRI guru, take some serious time over the course of a week or two to read Scott Huettel’s Functional Magnetic Resonance Imaging textbook. Aside from some unavoidably gnarly physics, it’s well-written and accessible to most readers, even those with very little background in psychology or biology. Don’t worry about retaining everything; a good once-through will make what we do here in the lab a lot more understandable.
  • Talk to HR to make sure all your paperwork is in order. Bring a cancelled check to sign up for direct deposit. Also bring your passport and contact information for your emergency contact sheet (phone numbers and addresses).
  • Make an appointment with the department HR contact to go over Kronos (this is currently Bhavna Raval, braval@stanford.edu)
  • Figure out what your SUId name and SUId number are.
  • Check to see if your Stanford email account is working; you can do this at webmail.stanford.edu.
  • Go to the ID office to get an ID card. [insert map]
  • Talk to Harry Bahlman, the building facilities manager/guru, about obtaining a key to your office and swipe card access to the building. Harry is located on the LL (lower level) in room 01-420. You can also email him at harry@psych.stanford.edu.
  • If you’re an RA, log on to axess.stanford.edu to enroll in the Stanford 101 course (Training tab → Search Catalog → “Stanford 101”). It’s required of all employees, and it’s where you receive all your benefits information. Be sure to do this within 30 days of your first day on the job – if you don’t, you’ll be automatically enrolled in default benefits plans, will miss others, and won’t be able to change anything till the next “open enrollment,” which only occurs once a year.
  • To run human subjects, you need to complete the university’s human subjects use course, which is run by CITI.
  • You’ll also want to read about the rules and regulations particular to Stanford in the Research Policy Handbook (http://www.stanford.edu/dept/DoR/rph/Chpt7.html/), and on the Stanford Human Subjects Research page (http://humansubjects.stanford.edu/)
  • You’ll also want to make sure you’re comfortable with EPrime (a popular psychology experiment package that allows you to create experiment modules on the computer -- we use this for the stimuli subjects see while in the scanner) and the Linux environment.

What's where?

SPAN lab is small in physical size and big on ideas. The lab space can be broken into four areas: room 465 (the main SPAN lab room), room 467 (the SPAN experiment room), the Lucas Center (this is where we scan, it’s located at the Med School), and grad student offices.

Room 465: The main lab room.

This room houses the printer, the MacBook (this computer is called ‘insula’), a Linux workstation (‘dmthal’), an old iBook, the file cabinets, and some reference materials on the bookshelf.

Lab Manager: use this resource sparingly to answer any question. Bother him/her more than and/or prior to bothering Rm 470 (Prof. Knutson).

Spanlab Printer: you can print here from any of the Mac or Linux computers. The name of the printer is spanlab (ip address spanlab.Stanford.edu). That should automatically come up on a Mac, but for Windows configuration, you may need to dig up the printer CD and find just the right folder for the drivers (this may be trial-and-error, sorry).

MacBook (‘insula’ –knutson@insula.stanford.edu): insula is the main station in the lab for using Photoshop CS3, Excel, Word, PowerPoint, Deltagraph, and SPSS. It also works as a terminal to connect to the Linux stations remotely (use the X11 utility and type “ssh –Y span@dmthal.stanford.edu” in the terminal window to connect to dmthal; importantly use “-Y” on this computer). To find data for a study (e.g. activation timecourse spreadsheets) click on the “Macintosh HD” icon on the desktop and go to the folder /Users/Knutson/data. There is a folder for every study where you will find spreadsheets of data and whatnot. Note that all logins will be span@insertcomputername except for insula, which is Knutson@.

dmthal: a fast Linux workstation (from summer 2005). This computer replaced mpfc as the primary computer for data processing and storage. It contains a dual-core processor and 500GB+ of storage. New studies will go on this computer (until it is retired).

Filing cabinet: 1st drawer – pens, pins, other supplies. 2nd drawer – copies of consent forms and payment sheets. 3rd drawer – subject folders (one folder for every subject scanned, containing questionnaires and consent). 4th drawer – file folders.

Bookshelf: Software CDs, Software manuals, other books deemed useful (e.g. UNIX for dummies). Also, CDs for programs and drivers. The E-Prime manuals and CD should be on the bookshelf in this room (note in 10/2006 these manuals disappeared! – prize for recovery)

iBook: the bookshelf usually holds a stripped down MacOS X laptop. Use it for SPSS, Deltagraph, or for connecting to the Linux computers (it is networked wirelessly so you don’t need to plug it in anywhere).

Room 467: 467 is an auxiliary lab room used for behavioral experiments and task design in E-Prime. There is a windows desktop that you can use with the serial button box. There are also two laptops, a lenovo thinkpad running windows for e-prime and a macbook that can be used in windows mode for e-prime or in regular mode for psychtoolbox based experiments. These laptops can be used with the usb button box.

Room 470: Brian’s office. This is where the intellectual magic happens. (contains span@mpfc computer)

Rooms 469, 478, and 480: Grad student and RA offices. More magic. Room 480 holds a Linux workstation called amygdala that is for general lab use. (478 currently holds span@nac (with J. Cooper))


Lucas Center: We scan with the 1.5 Tesla magnet and the 3 Tesla magnet, but by and large we use the 1.5T. If you’re scanning, you should have someone show you where everything is. Make sure that one of you has a swipe card with which to get in.

Keep in mind that you’ll need to bring consent forms, questionnaires, and payment forms. If you ever forget to bring anything, there may be extras in the knutson drawer in the prep room outside the magnet room (1.5T only). If you take extras try to replenish the supply the next chance you get. Also, if the bite bar goop is going low, check with the lab manager or check on top of the brown bookcase in rm 465. The windows computer in the first room (closest to the lobby reception area) can connect to the scanner computer and is used to grab data and transfer it to the spanlab computers (use SecureFX to connect). Follow instructions on the wall next to the computer to grab data files from the scanner computer (use get11 for structurals, SecureFX to lcmr1 for functionals at the 1.5T – also see the scanning protocol in a later section of this manual).


Other: dmthal and amygdala (the main Linux stations), mpfc, and nacc (with older data) can be accessed remotely from any computer. Kitchen Facilities We share kitchen space with the rest of the fourth floor. As you exit the lab coordinator’s office, turn left, and left again. Walk past the water fountain, then turn right. You’ll find a small kitchen space (communal fridge, microwave, sink) and a table. Please label your food and don’t let it become the source of a CDC level 3 quarantine.

Lab Contact Information.

650.725.5688 (Lab phone, Room 465)

650.725.5699 (Fax on the 3rd floor, Room 329)

450 Serra Mall, Bldg 420 Jordan Hall Stanford, California, 94305-8620

Stanford Mail Code: 2130

To send mail via inter-departmental mail, address your envelope with the recipient’s name, office, and Stanford mail code. There’s a labeled drop basket around the wall on the left of the receptionist’s desk.

To send US mail, also see the box to the left of the receptionist. To send via Fedex, usually just leave the (labeled) package down with the receptionist to be picked up – if you need shipping labels, talk to the current admin assistant (Erlinda). There’s a USPS office conveniently located in White Plaza next to the book store (a 10 minute walk).

Making phone calls.

To dial on campus: On-campus phone numbers beginning with 723, 724, or 725 can be reached from any other campus phone by dialing the last five digits of the number only. (For example, on campus you can dial 3-1888 to reach 650 723 1888.)

To dial off-campus: Dial 9, then 1, the area code, and phone number, as appropriate (for local calls you can obviously omit the “1”). The system will ask you for a pin number. The pin number is located in the phone cradle. Be sure to include the # sign at the end.

Also note that if you’re calling subjects, you may want to press *82 before dialing 9 + their number. *82 will allow the subject to see who is calling on caller ID. If you forget to press *82, you will show up as a blocked number, or may not be able to get through at all. (Some people block blocked numbers; others simply don’t answer if they can’t see who it is.)

Printing. The HP 2500 printer in the main office can be added to your print options on a Mac by going to System Preferences → Print and Fax → click on the plus sign on the lefthand side just under the printer box → Protocol: Internet Printing Protocol | Address: 172.24.204.128 | Queue: leave blank for default queue | Name: spanlab.stanford.edu | Location: spanlab.stanford.edu. Not completely sure on the paper sheet number or the memory size, but I just set it to 250 and the smallest mem size and it worked fine.

Copying The main copy room is located in the Basement. You can access it with your Stanford ID card (Talk to Harry Bahlman, the Building manager, if you need access). To make copies you need our lab copy code: 11125. If the material you are copying is course related (syllabus, exams, etc) use code: 22681.

Purchasing. If you need to purchase anything, talk to the lab coordinator. If it is lab related (and not, say, junk food or dvds for a study) then we can put it on our lab P-Card held by the admin (Erlinda). Use the P-Card for online checkouts and also for bookstore purchases – remember to notify bookstore employees beforehand so they can take make the appropriate discounts. We can also use it for furnishings (e.g. Ikea). There are other more complicated/loose procedures for reimbursing other purchases – talk to the lab coordinator.

Recycling There are currently no recycling bins in the lab, per se. There are, however, large recycling bins for paper and containers in the east stairwell and in the hallway that runs east-west down the center of the department. Recycling bins for used batteries and CDs are located in the photocopy room in the basement.

Reimbursements Travel reimbursements are handled on a case-by-case basis and should be discussed with the PI and lab coordinator (and then likely admin assistant) first. There are other more complicated/loose procedures for reimbursing other purchases – talk to the lab coordinator.

For staff RA’s, STAP fund reimbursements that aren’t for Stanford classes should be handled through the admin assistant (Erlinda) – do that so you don’t bang your head for hours on the Oracle system to reimburse your conference fees.

(Paper) Scanning Multimedia room 361 has a slide scanner and other multimedia stuff. Go here to scan in papers or bills. You'll need to get Harry, the building manager, to program your ID card so that you can get into this room.

Areas of the Brain We are Interested In

The reward circuitry we've focused on consists of the medial prefrontal cortex, the ventral tegmental area, and the ventral striatum (which consists, in turn, of the caudate nucleus, the putamen, the nucleus accumbens (NAcc), and the fundus, which links the latter two ventrally). These names will mean more to you shortly if you’re unfamiliar with anatomy.

What roles do these structures play in the reward circuitry? Where are they located relative to one another?

Nucleus accumbens (NAcc)

Nucleus accumbens (Nacc) [10, 12, -2]: The NAcc is located inferior to the caudate at the bottom of the internal capsule (the white line separating the caudate from the putamen). This is easiest to see in the coronal view. We see Nacc activation when subjects are anticipating gain, whether it’s anticipation of winning something (money, material goods, tasty food or drink), or simply thinking positively about themselves in the future – in other words, anticipation of an improved future self.

See: Knutson, B., Fong, G. W., Adams, C. S., & Hommer, D. (2001).

Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., Loewenstein, G. (2007).

Knutson, B., Wimmer, G. E., Kuhnen, C. M., Winkielman, P. (2008).

Nacc.png

Figure 1. Coronal view of the striatum.

Nacc2.png

Figure 2. Area delineations

Medial prefrontal cortex (mpfc)

Medial prefrontal cortex (mpfc) [+/-4, 50, -4]: The mpfc is a bit trickier to locate. Generally speaking, you want to look for a “crooked” gyrus approximately midway between the anterior edge and the corpus callosum; as a rule of thumb it’s approximately three gyri up if you’re viewing it axially. The mpfc is activated in response to doing something related to good outcomes for you. (You expected something good to happen, did it?) Another hypothesis is that it’s doing something related to self vs other. We also see more activation here in response to cues subjects have been told signal a higher probability of winning relative to other cues (for less probable outcomes).

See: Knutson, B., Fong, G. W., Adams, C. S., & Hommer, D. (2001).

Knutson, B., Fong, G. W., Bennett, S. M., Adams, C. S., & Hommer, D. (2003).

Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., Loewenstein, G. (2007).

MPFC.jpg

In this image the subject’s nose has wrapped around to the other side of the image. We’re not sure why this happens, but it’s no big deal as it has no effect on your data processing.

Ventral tegmental area (VTA) [0, ?14?, -16]: In figure 4 the cross hairs are resting on the lower (inferior) margin of the VTA (just above the brain stem protrusion below it). The VTA creates a unique U- or V-shape visible in the axial view (this is a good way to check that you’re on-target); see figure 4b for a good look at this. Midbrain dopamine neurons that originate in the VTA fire in response to unexpected (but not expected?) rewards and in response to reward cues. These neurons project onto other, more distant regions, including the striatum and the mpfc. The neurons, also known as subcortical or midbrain dopamine neurons, release dopamine during rewards and during reward prediction. The amygdala, ventral striatum, OFC (orbito frontal cortex), and MPFC are all enervated by mesolimbic dopamine projected neurons. For more on dopamine function, see Knutson, 2007: Linking Nucleus accumbens dopamine and blood oxygenation.

See: Knutson, B., Westdorp, A., Kaiser, E., & Hommer, D. (2000).

VTA1.jpg

VTA2.jpg

Dopa.jpg

Dorsal caudate: The dorsal caudate is the most superior (dorsal) part of the caudate. It is thought to link reward to behavior. Perception of a causal relationship between movements and outcomes causes activation here.

See: Knutson, B., Westdorp, A., Kaiser, E., & Hommer, D. (2000).

Dorsalcaudate.jpg

We also observe anterior cingulate activation for things that are risky or cause mental conflict (consideration of gains and losses); in other words, the anterior cingulate seems to be involved in risk assessment.

See: Knutson, B., Westdorp, A., Kaiser, E., & Hommer, D. (2000).

Acc.jpg

What does activation look like? Once you’ve processed, smoothed, and run your models on your data, you’ll be able to view volumes (a volume is the full-brain, 3D set of images constructed from the 2D images – one full brain = one volume) that consist of your functional data overlaid on your anatomical images. They will look something like this:

Doublecaudate.jpg

The image on the left shows significant activation in the dorsal caudate. The image on the right (same subject, different contrast) is more difficult to determine – it’s most likely a combination of putamen and caudate, but the data has smeared over the internal capsule due to (a) averaging across subjects and (b) limitations on our resolution (a voxel is currently ~ 4mm to each side). The internal capsule is a tract of white matter, and thus shouldn’t show a BOLD response (only grey matter does so).

Note that the activation here is smoothed. When you first look at it the data will probably look unsmoothed or "blocky" – smoothed vs unsmoothed viewing is an option in AFNI (see the AFNI section, page X).

The images above have had noise outside the brain removed. Your data may not be so pretty. It may, in fact, appear to have all sorts of alarming ‘activations’ outside the brain.

These 'activations' are due to inhomogeneities in the magnetic field outside the brain, and do not necessarily indicate that there’s anything wrong with your data. The MRI machine has been perfectly calibrated to look at (a) the volume of space occupied by the brain and (b) organic material. Correlated activations outside the brain could be due to muscle movement, peripheral movement, 'ghosting' (reflection of internal activity outside), outliers, or simply setting your threshold too low.

If ever you’re not sure whether your region of activation is in one region of the brain or another, AFNI has a neat little widget that allows you to check. Right click the image, then click on “Where am I?” You should also check with Brian, as AFNI isn’t foolproof and it’s good to have a second pair of eyes.

So those are the regions of interest with which the lab concerns itself. [Future directions]