1-20 of 52721
Sort by
Journal Article
Maria-Chiara Villa and others
Cerebral Cortex, Volume 35, Issue 4, April 2025, bhaf067, https://doi.org/10.1093/cercor/bhaf067
Published: 25 April 2025
Image
Published: 25 April 2025
Fig. 2 Searchlight analysis pipeline for fear-related spatial frequency processing. A) the initial step involved isolating brain responses specific to fear processing by subtracting activity evoked by neutral stimuli from fear-related responses within corresponding SF bands. This difference map was used as
Image
Published: 25 April 2025
Figure 1 Overview of the framework. (a) The brain functional module development. The subjects were divided into different age ranges, where the subjects under 36 mo were scanned under sleeping condition and those above 36 mo were scanned under awake condition. The different colors of nodes represent differen
Image
Published: 25 April 2025
Figure 3 (a) The development of modular structure of infant functional brain networks with different modularity resolutions. The subjects are divided into different age ranges (from 0 to 5 mo, 3 to 8 mo,..., and >36 mo). The infants before 36 mo (pink and blue frames, and the same color indicates nonoverl
Image
Published: 25 April 2025
Figure 6 The similarity of modular structure between sleeping and awake conditions for female and male (AP). The Jaccard similarity between sleeping and awake conditions are evaluated for the infant brain networks with different numbers of ROIs (100 ROIs in (a) and (b); 200 ROIs in (c) and (d); 300 ROIs in (
Image
Published: 25 April 2025
Figure 6 The similarity of modular structure between sleeping and awake conditions for female and male (AP). The Jaccard similarity between sleeping and awake conditions are evaluated for the infant brain networks with different numbers of ROIs (100 ROIs in (a) and (b); 200 ROIs in (c) and (d); 300 ROIs in (
Image
Published: 25 April 2025
Fig. 3 Significant fear-specific brain regions categorized by spatial frequency preference. Top row: Regions showing significant accuracy for distinguishing fearful from neutral bodily expressions in BSF; middle row: Regions with a significant preference for fear in HSF; bottom row: Regions showing signifi
Image
Published: 25 April 2025
Figure 4 The comparison of the module evolution evaluated by our proposed Bayesian modeling method and conventional group averaging method (AP). The module evolution is evaluated for the infant brain networks with different numbers of ROIs (100 ROIs in (a) and (b); 200 ROIs in (c) and (d); 300 ROIs in (e) an
Image
Published: 25 April 2025
Figure 4 The comparison of the module evolution evaluated by our proposed Bayesian modeling method and conventional group averaging method (AP). The module evolution is evaluated for the infant brain networks with different numbers of ROIs (100 ROIs in (a) and (b); 200 ROIs in (c) and (d); 300 ROIs in (e) an
Image
Published: 25 April 2025
Figure 4 The comparison of the module evolution evaluated by our proposed Bayesian modeling method and conventional group averaging method (AP). The module evolution is evaluated for the infant brain networks with different numbers of ROIs (100 ROIs in (a) and (b); 200 ROIs in (c) and (d); 300 ROIs in (e) an
Image
Published: 25 April 2025
Figure 4 The comparison of the module evolution evaluated by our proposed Bayesian modeling method and conventional group averaging method (AP). The module evolution is evaluated for the infant brain networks with different numbers of ROIs (100 ROIs in (a) and (b); 200 ROIs in (c) and (d); 300 ROIs in (e) an
Image
Published: 25 April 2025
Figure 5 The comparison of the module evolution evaluated by our proposed Bayesian modeling method and conventional group averaging method (AP). The module evolution is evaluated for the infant brain networks with different numbers of ROIs (100 ROIs in (a) and (b); 200 ROIs in (c) and (d); 300 ROIs in (e) an
Image
Published: 25 April 2025
Figure 5 The comparison of the module evolution evaluated by our proposed Bayesian modeling method and conventional group averaging method (AP). The module evolution is evaluated for the infant brain networks with different numbers of ROIs (100 ROIs in (a) and (b); 200 ROIs in (c) and (d); 300 ROIs in (e) an
Image
Published: 25 April 2025
Figure 5 The comparison of the module evolution evaluated by our proposed Bayesian modeling method and conventional group averaging method (AP). The module evolution is evaluated for the infant brain networks with different numbers of ROIs (100 ROIs in (a) and (b); 200 ROIs in (c) and (d); 300 ROIs in (e) an
Journal Article
Lingbin Bian and others
Cerebral Cortex, Volume 35, Issue 4, April 2025, bhaf071, https://doi.org/10.1093/cercor/bhaf071
Published: 25 April 2025
Image
Published: 25 April 2025
Fig. 1 Examples of fearful and neutral bodily expressions and fMRI paradigm. A) Original images taken from the BEAST dataset displaying intact BSF content were filtered to contain only an HSF or LSF range ( de Gelder and Van Den Stock 2011 ). B) each fMRI session consisted of 4 runs. Each run included 6 bl
Image
Published: 25 April 2025
Fig. 4 Functional differentiation of brain networks by SF bands during fear processing. The radar plot illustrates the distribution of brain regions activated by each SF band in terms of their predominant functional roles according to de Gelder et al. (2004) .
Image
Published: 25 April 2025
Figure 2 (a) Age ranges with different numbers of scans. AP indicates the scan direction of anterior-to-posterior, and PA indicates the scan direction of posterior-to-anterior (F:Female, M:Male). (b) The modularity quality function versus resolution parameter . The different color dots represent diffe
Image
Published: 25 April 2025
Figure 5 The comparison of the module evolution evaluated by our proposed Bayesian modeling method and conventional group averaging method (AP). The module evolution is evaluated for the infant brain networks with different numbers of ROIs (100 ROIs in (a) and (b); 200 ROIs in (c) and (d); 300 ROIs in (e) an
Image
Published: 25 April 2025
Figure 6 The similarity of modular structure between sleeping and awake conditions for female and male (AP). The Jaccard similarity between sleeping and awake conditions are evaluated for the infant brain networks with different numbers of ROIs (100 ROIs in (a) and (b); 200 ROIs in (c) and (d); 300 ROIs in (