concept

region of interest

Also known as: ROIs, region of interest, regions of interest

Facts (15)

Sources

Adversarial testing of global neuronal workspace and ... - Nature nature.com Nature Apr 30, 2025 10 facts

claimDue to variability in electrode coverage across patients precluding within-participants analysis, researchers pooled all derived Phase Locking Value (PPC) values from specific electrode pairings across all patients into a single Region of Interest (ROI)-specific analysis to achieve sufficient statistical power.

procedureTo examine neural representation evolution, researchers performed cross-temporal representational similarity analysis (RSA) on source-level MEG data and iEEG high-gamma power within theory-defined regions of interest (ROIs).

procedureResearchers extracted a Generalized Eigenvalue Decomposition (GED) spatial filter for the Prefrontal Cortex (PFC) Region of Interest (ROI) using parcels from the Destrieux atlas to identify distributed source patterns responsive to visually presented stimuli.

procedureThe researchers applied temporal smoothing (0.05-s window, 0.01-s sliding window), computed pseudotrials, normalized the data, and selected the top 30 features within a given region of interest (ROI) for the classifiers.

procedureFor magnetoencephalography (MEG) data, models were fitted to source data on predefined regions of interest (ROIs) using gamma (60–90 Hz) and alpha (8–13 Hz) bands as signals, analyzed separately for task-relevant and task-irrelevant conditions.

procedureFor MEG analysis, the researchers extracted reconstructed source-level data within predefined anatomical regions of interest (ROIs) based on the theories: GNWT ROIs included 'G_and_S_cingul-Ant', 'G_and_S_cingul-Mid-Ant', 'G_and_S_cingul-Mid-Post', 'G_front_middle', 'S_front_inf', and 'S_front_sup'; IIT ROIs included 'G_cuneus', 'G_oc-temp_lat-fusifor', 'G_oc-temp_med-Lingual', 'Pole_occipital', 'S_calcarine', and 'S_oc_sup_and_transversal'.

procedureThe researchers corrected P values obtained via permutation tests for multiple comparisons across all regions of interest (ROIs) using False Discovery Rate (FDR) correction with a threshold of q ≤ 0.0575.

procedureThe researchers tested the IIT prediction on fMRI data by selecting the 150 most selective voxels within each of the two regions of interest (300 voxels total) for each participant, using face versus object contrast masking.

procedureFor intracranial EEG (iEEG) data, models were fitted per electrode on predefined regions of interest (ROIs) using high-gamma (AUC), alpha (8–13 Hz), and ERPs (peak to peak) as signals, analyzed separately for task-relevant and task-irrelevant conditions.

procedureResearchers determined if a theory prediction was fulfilled by checking if the correlation with the theory-predicted pattern in the theory-specific region of interest (ROI) was significantly higher than the other model.

Neural mechanisms of credit card spending | Scientific Reports nature.com Nature Feb 18, 2021 5 facts

procedureThe researchers generated regions of interest (ROIs) for the ventral striatum and ventromedial prefrontal cortex (VMPFC) using a five-way conjunction analysis of thousands of independent brain scans to identify regions carrying a monotonic, modality-independent subjective value signal.

formulaThe researchers modeled the relationship between ROI activity and purchase behavior using the logistic regression equation: Buy = logit(b0 + b1 * ROIactivation + b2 * Price + b3 * ROIactivation * Price), where Price is a continuous, z-normalized variable.

formulaThe researchers modeled the purchase decision using the logistic regression equation: Buy = logit(b0 + b1 * ROIactivation + b2 * PaymentMethod + b3 * ROIactivation * PaymentMethod), where Buy is the purchase decision (1 or 0), ROIactivation is the activation in the region of interest, and PaymentMethod is the contrast coded treatment (Credit = 1, Cash = -1).

procedureThe researchers selected regions of interest (ROIs) for brain analysis using masks from meta-analyses of the striatum, the ventromedial prefrontal cortex (VMPFC), and the right anterior insula (rAIC), rather than using sample-dependent anatomical definitions.

procedureThe researchers analyzed the relationship between signal change and purchasing behavior by conducting logistic regressions separately for each region of interest (ROI) and at each acquisition point.