Real-time support vector classification and feedback of multiple emotional brain states.
about
Brain computer interfaces, a review.Real-time fMRI pattern decoding and neurofeedback using FRIEND: an FSL-integrated BCI toolbox.Real-Time fMRI in Neuroscience Research and Its Use in Studying the Aging BrainMultivariate neural biomarkers of emotional states are categorically distinct.Classification of self-driven mental tasks from whole-brain activity patternsNavigation of a telepresence robot via covert visuospatial attention and real-time fMRIWhat makes a pattern? Matching decoding methods to data in multivariate pattern analysisReal-time fMRI neurofeedback: progress and challenges.FRIEND Engine Framework: a real time neurofeedback client-server system for neuroimaging studiesIdentification of Mood-Relevant Brain Connections Using a Continuous, Subject-Driven Rumination Paradigm.Representations of modality-specific affective processing for visual and auditory stimuli derived from functional magnetic resonance imaging data.Comparison of real-time water proton spectroscopy and echo-planar imaging sensitivity to the BOLD effect at 3 T and at 7 T.Neuroimaging and neuromodulation approaches to study eating behavior and prevent and treat eating disorders and obesityExtracting neurophysiological signals reflecting users' emotional and affective responses to BCI use: A systematic literature review.The neural correlates of happiness: A review of PET and fMRI studies using autobiographical recall methods.Voluntary enhancement of neural signatures of affiliative emotion using FMRI neurofeedback.Real-time neurofeedback using functional MRI could improve down-regulation of amygdala activity during emotional stimulation: a proof-of-concept study.Predicting decisions in human social interactions using real-time fMRI and pattern classification.Real-time fMRI applied to pain managementControl of nucleus accumbens activity with neurofeedbackNeurofeedback of the difference in activation of the anterior cingulate cortex and posterior insular cortex: two functionally connected areas in the processing of pain.Affective Brain-Computer Interfaces As Enabling Technology for Responsive Psychiatric Stimulation.Neurofeedback and networks of depression.Self-Regulation of Anterior Insula with Real-Time fMRI and Its Behavioral Effects in Obsessive-Compulsive Disorder: A Feasibility StudyReal-Time Subject-Independent Pattern Classification of Overt and Covert Movements from fNIRS SignalsA non-adhesive solid-gel electrode for a non-invasive brain-machine interfaceA subject-independent pattern-based Brain-Computer InterfaceUsing real-time fMRI to learn voluntary regulation of the anterior insula in the presence of threat-related stimuliFast and efficient image reconstruction for high density diffuse optical imaging of the human brain.Individualized real-time fMRI neurofeedback to attenuate craving in nicotine-dependent smokers.Retrieving Binary Answers Using Whole-Brain Activity Pattern Classification.Abnormal Neural Connectivity in Schizophrenia and fMRI-Brain-Computer Interface as a Potential Therapeutic ApproachPattern classification of valence in depressionInsula and inferior frontal triangularis activations distinguish between conditioned brain responses using emotional sounds for basic BCI communication.Neurofeedback training for major depressive disorder: recent developments and future directions.Effects of user mental state on EEG-BCI performance.Closed-loop brain training: the science of neurofeedback.Advancing emotion theory with multivariate pattern classification.Translating Neurocognitive Models of Auditory-Verbal Hallucinations into Therapy: Using Real-time fMRI-Neurofeedback to Treat VoicesA graphics processing unit accelerated motion correction algorithm and modular system for real-time fMRI
P2860
Q26995073-E9E89DC7-74AE-4801-8B4D-FE42BE1D3A3DQ27300987-399BEF67-DB77-4A0A-A35F-41A9E0C3DCF9Q28077473-4DD39426-4318-4B69-8D9D-2C3B99CC1BF1Q30373110-0795112A-386F-40CE-B300-639D4053C52CQ30438428-0B347027-71D6-4E60-9E0B-4F9562C4E0D1Q30531326-48635721-B7FD-46E8-B9F2-F4CC918A888AQ30578730-2E49224D-08F2-4F90-92DC-DADE50A997C1Q30609220-9A370521-3E27-46A1-B81E-32957168E517Q30619290-95957159-DECE-481F-B146-95E1CA0AF67AQ30705169-77F056F8-EFAC-4DCC-898A-781E5F6AC259Q30707269-584FB14A-B011-418D-9350-4BD660CEB7C4Q30774389-B166549A-6427-40B7-83CB-410C4A5147A3Q30976676-8CDB072E-BC3B-403F-BE0D-FD8458AC1145Q31013625-D674D8C1-F939-47CA-9DE2-14B23DA200B1Q31049020-45A4B08E-32F9-4CCE-BE69-63CD388528E4Q33645443-9D7D27CF-E23A-4F64-A090-CA8E908B92ADQ33810769-6C601354-F4F0-4FA2-9012-7D706B7F8470Q34049256-970E1C02-129B-429F-BDED-736E0903B1D0Q34194629-D14A62EA-CC6F-4C61-9790-1EE977480F68Q34273980-D643A87F-9726-46A6-9344-8A0192E56B07Q34341612-5EDE78B6-FB44-4481-A5C6-AD6FBCA02610Q34858703-941F14FF-8ADD-43F3-876B-188846FABD22Q35148225-69C9CEA9-A770-4348-954A-8AE6B429072FQ35753668-ACB2FDB7-F2BD-4A7F-9E30-1B99D872BBE1Q36088667-176B9257-3977-4CEA-A5D8-78F725CAD727Q36101433-13BD9F13-80B0-46A4-BC5B-2C80ABF5647DQ36177623-823507EA-304B-4A4F-AA4B-C67A98717F1EQ36189895-B71A122F-46EF-4B7B-9AD8-96EE61CBD15FQ36284300-E47E597B-982A-4E99-BFC2-40A72BD2E500Q36395475-9AF944FE-52CF-45BD-A904-97EE3712EF8AQ36396507-32420669-D5E6-43B1-B23B-02EDA564AEF1Q36708167-D529495B-888C-4136-8746-066B04CCD016Q37184242-C2342FEA-77A8-4429-9A93-CA1A9C32EB31Q38425681-A0C3799F-0C74-4AA6-A10D-35BED5BBE5DBQ38852273-5FDE6B89-E422-43DA-AE53-19C62A273E20Q38994857-3779FD86-A4F9-4A4A-BA93-05B672015230Q39047869-C8CCC9A6-5996-43DF-B1F4-771F4EB1DA6EQ39220702-57CD5886-0C58-4414-B9B3-1E6D50D6EAE8Q39294368-FABE9ED6-FE9A-43E8-97D3-6FEAF8E3B32AQ40397843-4F54E62F-68BB-4DBB-B81D-9BB5AEC3A5D4
P2860
Real-time support vector classification and feedback of multiple emotional brain states.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh
2010年學術文章
@zh-hant
name
Real-time support vector classification and feedback of multiple emotional brain states.
@en
Real-time support vector classification and feedback of multiple emotional brain states.
@nl
type
label
Real-time support vector classification and feedback of multiple emotional brain states.
@en
Real-time support vector classification and feedback of multiple emotional brain states.
@nl
prefLabel
Real-time support vector classification and feedback of multiple emotional brain states.
@en
Real-time support vector classification and feedback of multiple emotional brain states.
@nl
P2093
P50
P1433
P1476
Real-time support vector classification and feedback of multiple emotional brain states.
@en
P2093
Mohit Rana
Sangkyun Lee
Sergio Ruiz
P304
P356
10.1016/J.NEUROIMAGE.2010.08.007
P407
P577
2010-08-06T00:00:00Z