Spatial smoothing hurts localization but not information: pitfalls for brain mappers.

Neuroimage

ATR Computational Neuroscience Laboratories, 2-2-2 Hikaridai, Keihanna Science City, Kyoto 619-0288, Japan.

Published: February 2010

Op de Beeck (Op de Beeck, H., 2009. Against hyperacuity in brain reading: Spatial smoothing does not hurt multivariate fMRI analyses? Neuroimage) challenges the possibility of extracting information from subvoxel representations via random biases associated with voxel sampling, the hypothesis proposed by Kamitani and Tong (Kamitani, Y., Tong, F., 2005. Decoding the visual and subjective contents of the human brain. Nat. Neurosci. 8, 679-685). Here, we show that his results provide no evidence against the possibility, being consistent with both of the subvoxel and supravoxel representation models. Classification of spatially smoothed fMRI data is not an effective means to probe into information sources for multivoxel decoding, since smoothing does not hurt the information contents of multivoxel patterns. We point out the danger of interpreting multivoxel decoding results based on intuitions guided by the conventional brain mapping paradigm.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.neuroimage.2009.06.040DOI Listing

Publication Analysis

Top Keywords

spatial smoothing
8
smoothing hurt
8
kamitani tong
8
multivoxel decoding
8
smoothing hurts
4
hurts localization
4
localization pitfalls
4
brain
4
pitfalls brain
4
brain mappers
4

Similar Publications

Background: Children with developmental coordination disorder (DCD) exhibit visual-motor deficits affecting handwriting. Shape tracing, a key prerequisite for handwriting, supports motor and cognitive development but remains underexplored in research, particularly in objectively studying its role in children with DCD.

Objectives: To compare the kinetics (pressure applied to the writing surface) and kinematics (spatial and temporal aspects) of shape tracing in children with pDCD to those of typically developing (TD) peers utilizing a digitized tablet.

View Article and Find Full Text PDF

Objectives: To understand place-based drivers of racial disparities in stroke mortality in the United States by investigating the relationship between county-level measures of structural racism and racial disparities in stroke mortality.

Methods: We constructed an additive structural racism score from census-based indicators of racial disproportionality (income, poverty, unemployment, home ownership, education, health insurance) and residential segregation (evenness, isolation), as well as county-level jail incarceration data from the Vera Institute of Justice. We utilized age-standardized, spatially smoothed stroke death rates in 2021 for Black and White adults aged 35-64 years in the United States.

View Article and Find Full Text PDF

Deep learning methods have significantly improved medical image analysis, particularly in detecting COVID-19 chest X-rays. Nonetheless, these methodologies frequently inhibit some drawbacks, such as limited interpretability, extensive computational resources, and the need for extensive datasets. To tackle these issues, we introduced two novel algorithms: the Dynamic Co-Occurrence Grey Level Matrix (DC-GLM) and the Contextual Adaptation Multiscale Gabor Network (CAMSGNeT).

View Article and Find Full Text PDF

The coastline reflects coastal environmental processes and dynamic changes, serving as a fundamental parameter for coast. Although several global coastline datasets have been developed, they mainly focus on coastal morphology, the typology of coastlines are still lacking. We produced a Global CoastLine Dataset (GCL_FCS30) with a detailed classification system.

View Article and Find Full Text PDF

Background: Leukemia, a group of malignant tumors, has been a significant public health concern due to its high incidence and mortality rates. This study aimed to provide an in-depth analysis of the global leukemia burden from 1990 to 2021 using the Global Burden of Disease (GBD) database, focusing on trends in incidence, mortality, and Disability-Adjusted Life Years (DALYs) across different regions, genders, and age groups including forecasting future trends.

Methods: Data were sourced from the GBD study, utilizing the Global Health Data Exchange (GHDx) query tool.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!