Neuroimaging data
Comparison method for community detection on brain networks from neuroimaging data
... averaged data reflect a typical pattern of the data, ignoring inter- subject ...EEG data to use the obtained community structure for investigating inter- and intra-cluster information flow (Liu et ...
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Shift Invariant Multilinear Decomposition of Neuroimaging Data
... Neuroimaging data such as electroencephalography ( EEG ) and functional magnetic resonance imaging (f MRI ) data is heavily impacted by noise. In general, it is dif- ficult if not impossible to ...
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Fast and accurate modelling of longitudinal and repeated measures neuroimaging data
... longitudinal neuroimaging data, but only on a small number of regions of interest or biomarkers, Chen et ...analyse neuroimaging longitudinal ...
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Sharing brain mapping statistical results with the neuroimaging data model
... The NeuroImaging Data Model (NIDM) 37,38 was created to expand upon the initial development of XCEDE, introducing a domain-specific extension of PROV using semantic web technologies and the Resource ...
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Point process modelling of coordinate based meta analysis neuroimaging data
... studies [Carp, 2012]. For example, in a recent review of emotions Lindquist et al. [2012] found a median sample size of 11. Consequently, individual studies su↵er from low power and hence low reproducibility [Button et ...
182
The BrainMap strategy for standardization, sharing, and meta analysis of neuroimaging data
... Neuroimaging Data Analysis and Reporting Standards Spatial normalization algorithms have been developed and implemented in all of the major neuroimaging soft- ware packages ...that data from ...
9
Statistical analysis of complex neuroimaging data
... imaging data includ- ing functional magnetic resonance images and diffusion tensor images prior to the formal model fitting ...imaging data (Jones et ...imaging data can blur the image data ...
138
Statistical Methods of Neuroimaging Data Analysis.
... collecting neuroimaging, clinical and ge- netic data of study ...of neuroimaging data falls into two ...multidimensional neuroimaging data as predictors, which further involves ...
107
Coordinate based meta analysis of functional neuroimaging data: false discovery control and diagnostics
... Coordinate based meta-analysis (CBMA) is widely used to find regions of consistent activation across fMRI studies that have been selected for their functional relevance to a given hypothesis. Only reported coordinates ...
12
Tensor Based Statistical Models with Applications in Neuroimaging Data Analysis.
... imaging data analysis, a primary goal is to better understand associations between brains and clinical ...Typical data sets employed for the analyses include the Attention Deficit Hyperactivity Disorder ...
156
Computationally efficient mixed effect model for genetic analysis of high dimensional neuroimaging data
... imaging data. Simulation study and real data analysis revealed that WLS and fully converged heritability estimators have comparable performances in terms of bias and mean squared ...
128
Evidence in Neuroimaging: Towards a Philosophy of Data Analysis
... that neuroimaging data warrants a claim about a phenomenon is justified when the claim can be shown to be the best (available) explanation for the ...the data that are explicable in terms of the ...
157
Multifocal hypointense cerebral lesions on gradient echo MR are associated with chronic hypertension
... and neuroimaging data of this case series indicated a possible correlation be- tween the MR pattern and a history of chronic hypertension, we performed a retrospective co- hort study to test the hypothesis ...
7
PubMedCentral-PMC5708892.pdf
... Although the discriminative learning frameworks proposed in this paper are general methods, we focus on their applications in neuroimaging analysis for the early diagnosis of mental diseases. A newly emerging ...
41
Saving Data Analysis: Epistemic Friction and Progress in Neuroimaging Research
... about, but like many widely used analysis methods it is not fully un- derstood what causal factors it is actually sensitive to. In particular, it is unclear what links there are, if any, between functional connec- tivity ...
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The impact of phonological versus semantic repetition training on generalisation in chronic stroke aphasia reflects differences in dorsal pathway connectivity
... Neuroimaging data concerning connectivity along the dorsal and ventral pathways indicated that the differential benefits of phonological and semantic relearning strategies to naming accu[r] ...
36
Evidence for a mass-dependent AGN Eddington ratio distribution via the flat relationship between SFR and AGN luminosity
... connectivity data. 28 Clustering techniques have been also applied to time series data or its corresponding functional network to group regions with similar functional ...
14
Resources available for autism research in the big data era: a systematic review.
... of data (or neuroimaging data generally) is found, researchers face other difficulties in finding certain information about the ...of data information that is essential to researchers is ...
21
Diagnostic measures for missing covariate data and semiparametric models for neuroimaging
... the neuroimaging literature was mainly developed for cross-sectional studies, in which neuroimaging measures from different subjects are assumed to be independent (Ashburner and Friston, 2000; Styner et ...
148
A Hitchhiker’s Guide to Working with Large, Open-Source Neuroimaging Datasets
... the data or for participants with a rare disease) or demonstrate reproducibility of findings across ...of data are ...or data sharing agreements may be ...
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