Where she looks
different from the last
slice: distributed
cognition in the activity of fMRI motion correction
Morana Alac
Cognitive Science
UCSD
The present analysis
is a part of a broader ethnographic study on the production of visual fMRI
evidence, theoretically based in Distributed Cognition (Hutchins, 1995) and
Conceptual Integration theory (Fauconnier & Turner, 2002). The study
involves observations of scientific practices conducted over a period of 6
months in three laboratories in the Cognitive Science department at UCSD and
the Salk Institute. Data collection methods include direct observation, video,
semi-structured interviews, and analysis of documents such as journal articles,
laboratory manuals and scientific correspondence.
In this presentation, I analyze video
recordings of a specific scientific practice, i.e. an early stage in the
preparation of the fMRI data for further analysis. During this stage, among
other types of manipulation, the data have to be corrected for motion. Motion
correction transforms
each scan (volume or image acquired every few seconds) by using rotation and
translation, so that the image of the brain within each scan is aligned with that
in every other scan. I analyze five excerpts from one 35-minute session in
which an expert explains to a novice how to asses the extent of head motion.
This is done by viewing brain images captured at different moments in time. In
the course of motion correction the scientists can decide whether or not to
reject a data set.
Analysis suggest that
the situated action in these excerpts generates complex conceptual structures
where initial conceptual entities are compressed. Through the mechanism of conceptual
compression two different conceptual entities are considered to be an
integrated item (Fauconnier and Turner, 2002). In this way, the physical person
in the scanner and the digital representation of her brain slice are conceived
as if a single item. Thanks to this conceptual mechanism, the abstract
representations become embedded in real world situations of actions. This
process of conceptual manipulation can be characterized by what Fauconnier and
Turner (2002) call "blends on human scale". Blends,
hybrid cognitive models, are defined to be on human scale with respect to the
ease with which they are produced, manipulated, or remembered; they lead to
greater efficacy in comprehension, greater memory for complex structure, and
are associated with the production of creative solutions. The analysis
illustrates how the embodied and distributed nature of the task influences
complex conceptual structure of the scientists, and hence produces greater
cognitive efficacy.
In contrast to the
very impersonal style of scientific papers, as well as the use of fMRI data for
very general claims about human cognition, at this stage of data analysis the
images are often used to speak about a single subject. Through metonymical
mappings, representations of the brain slices stand for a particular person.
For example, in order
to understand the expert utterance:
1 Where she
actually makes the movement =
2 = where she
looks different from the last slice?
the interlocutors
have to metonymically link the subject in the scanner with the subjectÕs brain
(i.e., the brain stands for the person). In this example, she in line 1 refers to
the subject in the scanner, while she in line 2 refers to a single image of
that subjectÕs brain. Thus, the digital representation of the brain slice at a
particular moment in time has to be conceptually linked with brain of the
person in the scanner: the picture of one slice at a particular moment in time
stands metonymically for the brain and represents the brain, and hence it
stands for the person in the scanner. The subjects are looking at the digital
images on the computer screen and are able to infer the movement of the
subject's head in the scanner. This is achieved by constructing a powerful
conceptual compression which the expert implicitly communicates to the novice.
The head movement that caused a particular effect in the digital
representations (i.e., the two images taken at different points in time are not
aligned with each other) is compressed with that effect to one conceptual entity,
representing at the same time the person in the scanner and the movement
detected by observing the non alignment of the images at the computer screen.
This composed mental entity is manipulated through this interaction.
In addition to the
linguistic utterance, in line 1 the expert is using both her arms to construe
the meaning through gesture: she swings her right arm upward while the left
remains parallel to the ground. (motion resembling scissors opening). Her right
arm, swinging vertically upwards, can be interpreted as representing the
subject's head moving up, while the left arm stays still, marking the position
from which the movement initiated. However, this gesture can also be seen as
representing the blend between the brain slice representation and the subject
moving. In this case, the right arm is representing the slice
representation/subject moving up, while the left arm maps onto the slice
representation that serves as an indicator with respect to which the movement
is detected. The fact that interlocutors are manipulating a complex conceptual
construction is also evident from line 2. The expert implies the existence of a
conceptual entity which has some properties of the subject in the scanner and
others of the image of the brain slice at the computer screen. The manipulation
of this entity is achieved through the use of language, hand movements and
images on the computer screen.
The process of motion correction is conducted
by the use of different semiotic resources that enable the interlocutors to
"see" what the subject is doing and how this is reflected in the data
set. The materiality of the world, as well as bodily movements and gestures of
both interlocutors are manipulated and used to create the distributed
representations (Hutchins, 1995) that aid understanding and goal achievement.
WORK CITED
Fauconnier,
G. & Turner, M.
2002 The Way We Think: Conceptual
Blending and the Mind's Hidden Complexities, Basic Books.
Hutchins, E.
1995 Cognition in
the Wild. Cambridge, MA: MIT Press.