Thought experiment: Decoding cognitive processes from the fMRI data of one individual
نویسندگان
چکیده
منابع مشابه
Decoding Cognitive States from fMRI Data Using Support Vector Regression
In this paper we describe a method based on Support Vector machines for Regression (SVR) to decode cognitive states from functional Magnetic Resonance Imaging (fMRI) data. In the context of the Pittsburgh Brain Activity Interpretation Competition (PBAIC, 2007), three participants were scanned during three runs of 20-minute immersion in a Virtual Reality Environment (VRE) where they played a gam...
متن کاملDecoding Cognitive States from fMRI Timeseries
Conventional analysis of functional magnetic resonance imaging (fMRI) data follows a regression-based approach, in which one identifies the neural correlates of a particular cognitive function by correlating individual voxel timecourses with a known pattern of stimulus presentations. However, one can reverse the direction of analysis; rather than using knowledge of the stimulus pattern to infer...
متن کاملDecoding Cognitive Processes from Functional MRI
The goal of cognitive neuroscience is to understand the the brain processes that underlie cognitive function. These brain processes are studied by examining neural responses to experimental tasks and stimuli. While most experiments are designed to isolate a single cognitive process, the resulting brain images often encode multiple processes simultaneously. Thus standard classification methods a...
متن کاملClassifying Instantaneous Cognitive States from fMRI Data
We consider the problem of detecting the instantaneous cognitive state of a human subject based on their observed functional Magnetic Resonance Imaging (fMRI) data. Whereas fMRI has been widely used to determine average activation in different brain regions, our problem of automatically decoding instantaneous cognitive states has received little attention. This problem is relevant to diagnosing...
متن کاملLearning to Identify Overlapping and Hidden Cognitive Processes from fMRI Data
fMRI data analyses typically assume the observed fMRI activation results from the sum of hemodynamic responses (HDRs) generated by known stimuli with known timing. We present an alternative approach that assumes additional activation may be generated by internally initiated cognitive processes, whose timing and identity may be unknown. For example, in an experiment where subjects compare a sent...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS ONE
سال: 2018
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0204338