Decoding continuous variables from neuroimaging data: basic and clinical applications. - Wikidata - wikimedia - TriplyDB

Decoding continuous variables from neuroimaging data: basic and clinical applications.

Decoding continuous variables from neuroimaging data: basic and clinical applications.

http://www.wikidata.org/entity/Q33947947

about

The clinical value of large neuroimaging data sets in Alzheimer's disease The ADHD-200 Consortium: A Model to Advance the Translational Potential of Neuroimaging in Clinical Neuroscience Decoding the neuroanatomical basis of reading ability: a multivoxel morphometric study Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data Multivariate linear regression of high-dimensional fMRI data with multiple target variables.Evolving Evidence for the Value of Neuroimaging Methods and Biological Markers in Subjects Categorized with Subjective Cognitive Decline.Classification and Extraction of Resting State Networks Using Healthy and Epilepsy fMRI Data.Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine.Bipolar disorder diagnosis: challenges and future directions.Individual differences in visual field shape modulate the effects of attention on the lower visual field advantage in crowding Can Emotional and Behavioral Dysregulation in Youth Be Decoded from Functional Neuroimaging?Decoding the anatomical network of spatial attention Cross-validation and hypothesis testing in neuroimaging: An irenic comment on the exchange between Friston and Lindquist et al.Decoding post-stroke motor function from structural brain imaging A Generalized ideal observer model for decoding sensory neural responses.Bayesian scalar-on-image regression with application to association between intracranial DTI and cognitive outcomes.Decoding negative affect personality trait from patterns of brain activation to threat stimuli.Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorder.Mining Time-Resolved Functional Brain Graphs to an EEG-Based Chronnectomic Brain Aged Index (CBAI).Quantifying anatomical shape variations in neurological disorders.Sparse Ordinal Logistic Regression and Its Application to Brain Decoding

P2860

Q28709465-692BB232-34D7-4748-BB7A-3CA94C870290 Q28728093-C0E8B552-491B-4783-9050-3DB8C9A46C8A Q30443767-FF507680-B2C4-423F-8098-B5E830F25EDD Q30620570-BF6A7DE3-0FD3-439A-BD4F-61F37B75F24B Q30657027-9DFCB3E4-2CD7-4A6B-99CC-DA592997F1CE Q30996727-26C81723-6470-4CD9-A37D-8552FBB7D1B4 Q31136150-1365B989-6BED-4DAF-B71E-B6AECBD48CD6 Q33811758-EB26F7AF-093E-4FA8-B421-55C25B9F135B Q34344078-9746E6F0-6AFF-4B89-8B72-3CD7E7E4EDC3 Q35081468-202A1859-23A6-4A1B-8559-F5241EE36331 Q35885545-CBD5B171-73B2-448F-B8B9-60DCF0388015 Q36567805-E0E2B3F5-1A4C-4547-9213-5A66F862A074 Q36666724-9E9BFFB9-6259-442C-A399-19DB04A1E8AE Q37199212-7E9AD0F6-E3E8-42C9-A6DA-A4ADB59E9DBC Q37205437-3ECF1874-9EB4-4EE3-9897-F700D38764D2 Q37274988-980BD1FE-1991-4D01-BDE3-578D38F86F12 Q37540384-72A1BAA8-269F-41FD-B734-4909B0DFD5A0 Q38847775-B9361326-CD59-4828-BC8B-6FBD706162C5 Q41312912-35C94A98-6E40-4C1A-B9CA-085D24545AFF Q44874513-EA354B8B-3FCA-441A-9FBB-466F5513C9F6 Q58777338-E330B3A9-F331-48B3-91D1-71D234636DA0

P2860

Decoding continuous variables from neuroimaging data: basic and clinical applications.

http://www.wikidata.org/entity/Q33947947

description

2011 nî lūn-bûn

@nan

2011 թուականի Յունիսին հրատարակուած գիտական յօդուած

@hyw

2011 թվականի հունիսին հրատարակված գիտական հոդված

@hy

2011年の論文

@ja

2011年論文

@yue

2011年論文

@zh-hant

2011年論文

@zh-hk

2011年論文

@zh-mo

2011年論文

@zh-tw

2011年论文

@wuu

name

Decoding continuous variables from neuroimaging data: basic and clinical applications.

@ast

Decoding continuous variables from neuroimaging data: basic and clinical applications.

@en

type

label

Decoding continuous variables from neuroimaging data: basic and clinical applications.

@ast

Decoding continuous variables from neuroimaging data: basic and clinical applications.

@en

prefLabel

Decoding continuous variables from neuroimaging data: basic and clinical applications.

@ast

Decoding continuous variables from neuroimaging data: basic and clinical applications.

@en

P1433

Q33947947-C399CE1B-21F1-4D89-87B3-442EBED3AAA4

P1476

Q33947947-CF45821D-FF4D-4801-A72C-D210BA935487

P2093

Q33947947-06F68325-56A3-464E-9E5E-BB00A8724163

Q33947947-49E62329-87C7-4CCA-9EED-FC507B5C84C2

Q33947947-8571A2A3-11C9-48D9-B5BB-42DDDF5A757C

Q33947947-E9401CCA-777E-4553-8621-FAE799AB4981

P2860

Q33947947-0019B645-4849-40C4-8BD9-B7A57B3763D7

Q33947947-02445A8A-ABF2-415C-A61A-18ACA931F1CE

Q33947947-04666DF6-8B9B-4A6F-9DCF-5A10A6AAF451

Q33947947-1077D67C-EF7A-4D53-BC31-56A515F4F266

Q33947947-11E7D672-1748-4880-A20D-0B68B3BC9C32

Q33947947-12576A24-88D5-4A03-A340-00CE48014BCB

Q33947947-178C9A5B-9F83-42E5-BE9A-90E6F10A8B1E

Q33947947-1D122B37-3FC7-476B-BA15-3777C3ACF72C

Q33947947-1D4F9D87-D2C2-4481-B3B7-1433E8F058C4

Q33947947-1FD398EA-4143-4B78-A8D5-D6B193472892

P304

Q33947947-0566663D-79A3-4656-84D2-B88EEAAC994B

P31

Q33947947-D1D060AC-9E3C-4088-B714-140FC4209F43

P356

Q33947947-70FAD8A2-B22B-46E8-8483-1417157B8FDC

P478

Q33947947-CAB0F1E2-346F-42CC-971A-A23A68A2B65C

P50

Q33947947-7989E2D5-1FC2-4BCD-BD95-EC60563391D5

Q33947947-96B409CD-D63B-4531-8DEE-F078EF918B84

Q33947947-F83A2DD2-1D19-437B-8959-63E128FAE159

P577

Q33947947-28C371F0-611E-47EA-99CE-3DFC2D1065AB

P5875

Q33947947-BB88F70F-B764-4293-A440-A4FEBDEFF2F8

P698

Q33947947-545EA3AA-9E68-4EBA-BE6F-D65B1F613D09

P921

Q33947947-1CD51FFE-D64D-4F9E-B1DE-76E963AB46EC

P932

Q33947947-5442D9C7-1CD9-4165-BC09-FF8C153E13F4

P356

FNINS.2011.00075

P1433

Frontiers in Neuroscience

P1476

Decoding continuous variables from neuroimaging data: basic and clinical applications.

@en

P2093

Barbara J Knowlton

http://www.w3.org/2001/XMLSchema#string

Fred W Sabb

http://www.w3.org/2001/XMLSchema#string

Jessica R Cohen

http://www.w3.org/2001/XMLSchema#string

Robert F Asarnow

http://www.w3.org/2001/XMLSchema#string

P2860

Distributed and overlapping representations of faces and objects in ventral temporal cortex

Kernel regression for fMRI pattern prediction

High-dimensional pattern regression using machine learning: from medical images to continuous clinical variables

Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline

A fast diffeomorphic image registration algorithm

Decoding mental states from brain activity in humans

Executive functions in children aged 6 to 13: a dimensional and developmental study

Cortical and subcortical contributions to Stop signal response inhibition: role of the subthalamic nucleus

Inhibition and the right inferior frontal cortex

Beyond mind-reading: multi-voxel pattern analysis of fMRI data

P304

75

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.3389/FNINS.2011.00075

http://www.w3.org/2001/XMLSchema#string

P478

5

http://www.w3.org/2001/XMLSchema#string

P50

Russell A. Poldrack

Susan Y Bookheimer

Robert M Bilder

P577

2011-06-15T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

51458959

http://www.w3.org/2001/XMLSchema#string

P698

21720520

http://www.w3.org/2001/XMLSchema#string

P921

P932

3118657

http://www.w3.org/2001/XMLSchema#string