Decoding Cognitive Processes from Functional MRI
نویسندگان
چکیده
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 are inappropriate for decoding cognitive processes. We propose a multilabel classification approach for decoding, and present empirical evidence that multilabel classification can accurately predict the set of cognitive processes associated with an experimental contrast image.
منابع مشابه
Brain Single Photon Emission Computed Tomography Scan (SPECT) and Functional MRI in Systemic Lupus Erythematosus Patients with Cognitive Dysfunction: A Systematic Review
Objective(s): Systemic lupus erythematosus (SLE) is an autoimmune disease with a wide range of clinical manifestations. Cognitive dysfunction is one of the manifestations that could present prior to the emergence of any other neuropsychiatric involvements in SLE. Cognitive dysfunction is a subtle condition occurring with ahigh frequency. However, there is no data on the correlation of cognitive...
متن کاملCorrelation of MRI findings and cognitive function in multiple sclerosis patients using montreal cognitive assessment test
Background: Magnetic resonance imaging (MRI) has improved the diagnosis and management of patients with multiple sclerosis (MS). Montreal Cognitive Assessment (MoCA) is a brief, sensitive test that has been recommended by National Institute of Neurological Diseases and Stroke and Canadian Stroke Network (NINDS-CSN) as a reliable tool to detect mild cognitive impairments. This study aimed to eva...
متن کاملDecoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition
A central goal of cognitive neuroscience is to decode human brain activity-that is, to infer mental processes from observed patterns of whole-brain activation. Previous decoding efforts have focused on classifying brain activity into a small set of discrete cognitive states. To attain maximal utility, a decoding framework must be open-ended, systematic, and context-sensitive-that is, capable of...
متن کاملResting-state functional connectivity MRI reveals active processes central to cognition.
Analysis of spontaneously correlated low-frequency activity fluctuations across the brain using functional magnetic resonance imaging (MRI)-commonly referred to as resting-state functional connectivity (RSFC) MRI-was initially seen as a useful tool for mapping functional-anatomic networks in the living human brain, characterizing brain changes and differences in clinical populations, and studyi...
متن کاملBeyond mind-reading: multi-voxel pattern analysis of fMRI data.
A key challenge for cognitive neuroscience is determining how mental representations map onto patterns of neural activity. Recently, researchers have started to address this question by applying sophisticated pattern-classification algorithms to distributed (multi-voxel) patterns of functional MRI data, with the goal of decoding the information that is represented in the subject's brain at a pa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013