Characterizing the response of PET and fMRI data using multivariate linear models.
about
Models of the aging brain structure and individual declineSparsely-distributed organization of face and limb activations in human ventral temporal cortexMultivariate data analysis for neuroimaging data: overview and application to Alzheimer's diseaseThe Neural Basis of Speech Perception through Lipreading and Manual Cues: Evidence from Deaf Native Users of Cued Speech.Seven topics in functional magnetic resonance imaging.Analyzing receptive fields, classification images and functional images: challenges with opportunities for synergyWhat's new in neuroimaging methods?Serotonin transporter availability in the amygdala and bed nucleus of the stria terminalis predicts anxious temperament and brain glucose metabolic activityStatistical limitations in functional neuroimaging. II. Signal detection and statistical inference.Shared space, separate processes: Neural activation patterns for auditory description and visual object naming in healthy adults.Visual Network Asymmetry and Default Mode Network Function in ADHD: An fMRI StudyMultivariate linear regression of high-dimensional fMRI data with multiple target variables.Relevant feature set estimation with a knock-out strategy and random forestsFunctional principal component analysis of fMRI data.A new approach to spatial covariance modeling of functional brain imaging data: ordinal trend analysis.A non-parametric approach for co-analysis of multi-modal brain imaging data: application to Alzheimer's diseaseSupport vector machine learning-based fMRI data group analysisAnalyzing for information, not activation, to exploit high-resolution fMRI.Statistical approaches to functional neuroimaging dataStatistical limitations in functional neuroimaging. I. Non-inferential methods and statistical models.Neocortical connectivity during episodic memory formation.Evaluation and comparison of GLM- and CVA-based fMRI processing pipelines with Java-based fMRI processing pipeline evaluation system.Trait-like brain activity during adolescence predicts anxious temperament in primatesRevealing representational content with pattern-information fMRI--an introductory guide.Cognitive reserve.The development of performance-monitoring function in the posterior medial frontal cortexBehavioral and neural correlates of imagined walking and walking-while-talking in the elderly.fMRI abnormalities in dorsolateral prefrontal cortex during a working memory task in manic, euthymic and depressed bipolar subjects.Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.Altered function and connectivity of the medial frontal cortex in pediatric obsessive-compulsive disorder.Age-related changes in task related functional network connectivity.fMRI activation during failures to respond key to understanding performance changes with sleep deprivation.Neurocognitive endophenotypes of obsessive-compulsive disorder.Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimationMulti-Source Learning for Joint Analysis of Incomplete Multi-Modality Neuroimaging Data.Not one extrastriate body area: using anatomical landmarks, hMT+, and visual field maps to parcellate limb-selective activations in human lateral occipitotemporal cortex.Neural networks associated with the speed-accuracy tradeoff: evidence from the response signal methodSupporting performance in the face of age-related neural changes: testing mechanistic roles of cognitive reserve.Decoding episodic memory in ageing: a Bayesian analysis of activity patterns predicting memoryfMRI activation in the amygdala and the orbitofrontal cortex in unmedicated subjects with major depressive disorder.
P2860
Q27313508-0BEF2EBF-8F85-4D6C-8192-A531F4DF9679Q28281995-672CB6F7-FDC3-4AD7-B8F6-DE6A7A419E0CQ28744295-72AC674A-BB4C-4E61-BB8F-6DF87B52AFCCQ30358411-8D7E8623-17D1-416C-93CC-C3CE87230F22Q30474733-8E5E7AAC-3FEC-45D8-ADC1-4396DD1E0B93Q30478195-B367A916-DB1A-43FF-81EF-CA33E505E386Q30488026-E175DF94-8ED5-44BD-80E8-9543FC18827FQ30490740-C14BAE1F-6CCD-4333-90A4-189D722C604DQ30581007-A6E60755-3066-494D-BF0B-170B70D9ACF8Q30583448-81220D0F-28E8-44E8-9552-69D342286C37Q30583667-64B7C55C-763B-40A4-BF91-07B77E205CD9Q30657027-1032DDE4-7D77-46E7-A490-7A6DB97AC837Q30670391-0784D202-8661-4715-BC0F-83B7517DD081Q30968329-F276A9F6-76FC-4C5D-BA7A-90CC452135AAQ30990108-C3030421-71C7-4C37-B89B-5044DF4268B5Q31029702-8C18302D-C253-47B7-9EB9-82CCF01694A9Q31113694-C5783B74-97BB-4257-B2A2-FABC9DBFEE42Q31126013-32F27FED-7B1A-4E02-83F4-50C2CA78734BQ31135429-01B26734-574B-4FC9-A4CA-AC9D328F20E6Q33178818-14E8FB63-1469-40BB-81AA-70BD138E386BQ33239459-3A1D81F0-4E30-4ED5-8637-12CD408F03A6Q33335039-ADDD508B-870A-43A8-AADA-3947D3C85437Q33348603-F80677D1-8583-4EEE-A721-348336AEFEB8Q33400699-B2E9C238-7B94-488B-8D08-B3702BFB947EQ33452282-ED2C6DD4-6223-4A43-B4AB-C59F850511E3Q33756954-A98D34B2-EBDE-45A6-A7E6-0CC5287F2FF3Q33934003-66085425-9F60-4C06-8E1B-EB88BF06631BQ34052924-E383B901-A2BB-461C-8F7C-FB52F32DD57BQ34231349-897A4D80-1247-4EAE-B4D8-658570253E62Q34334264-6726742F-A7DA-4883-A3CC-D73CCD3CC537Q34427078-D35864F9-F3CB-4782-BEEF-21291D7F1710Q34496500-5EABD5DF-1428-40A5-B9F9-C6E0EE06D956Q34687056-985D61E7-C998-4B79-B87B-9393D00D2DF3Q34746774-69D6AA0C-48D8-47C6-8D63-7A7F6FEED5F5Q34981107-7C4EB4E6-443A-4963-B1F5-566B18857CEFQ35110449-1BECB561-362B-4042-BCB2-586DD5FAA2B7Q35175532-82E13493-24BF-42C0-BD08-605225D07188Q35205017-E5FF7188-AED7-4843-A8C8-CE878A6215BBQ35610418-593A10E3-3526-453C-B53A-2446DAAE5200Q36057775-32349476-4427-4C59-9DB0-5125F55BEE90
P2860
Characterizing the response of PET and fMRI data using multivariate linear models.
description
1997 nî lūn-bûn
@nan
1997 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
1997 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
1997年の論文
@ja
1997年論文
@yue
1997年論文
@zh-hant
1997年論文
@zh-hk
1997年論文
@zh-mo
1997年論文
@zh-tw
1997年论文
@wuu
name
Characterizing the response of PET and fMRI data using multivariate linear models.
@ast
Characterizing the response of PET and fMRI data using multivariate linear models.
@en
type
label
Characterizing the response of PET and fMRI data using multivariate linear models.
@ast
Characterizing the response of PET and fMRI data using multivariate linear models.
@en
prefLabel
Characterizing the response of PET and fMRI data using multivariate linear models.
@ast
Characterizing the response of PET and fMRI data using multivariate linear models.
@en
P50
P356
P1433
P1476
Characterizing the response of PET and fMRI data using multivariate linear models.
@en
P304
P356
10.1006/NIMG.1997.0294
P407
P577
1997-11-01T00:00:00Z