Journal: Nature Communications

Article Title: Intracortical recordings reveal vision-to-action cortical gradients driving human exogenous attention

doi: 10.1038/s41467-024-46013-4

Figure Lengend Snippet: A Left: Illustration of the localization in normalized space (MNI152) of the contacts included in the analysis (black circles; n = 1403) in the left hemisphere (LH; n = 671) and in the right hemisphere (RH, n = 732), pooled across patients. Each localization is the mean coordinates of the two contacts composing the contact’s bipolar montage. To reveal prototypical temporal patterns simultaneously across all conditions, the trajectories across the 8 condition dimensions of the mean high-frequency broadband (HFBB) target-locked activity of 664 significantly responsive contacts (significant time-point-by-time-point t -test for at least 100 ms in one of the experimental conditions compared to baseline), were clustered using a custom-made trajectory K -means approach. Right: Example of target-locked mean normalized HFBB responses of one contact in the right angular gyrus in Congruent (full lines) and Incongruent (dashed lines) trials, at short-SOA (blue) and long-SOA (red), with targets contralateral or ipsilateral to the contact. Dashed vertical lines represent onsets of the target (black), short-SOA (blue), and long-SOA (red) cues. Shaded areas represent SEM across trials. Brain visualization was done using BrainNet Viewer Matlab toolbox (Xia M, Wang J, He Y (2013) BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics. PLoS ONE 8(7): e68910. doi:10.1371/journal.pone.0068910). B Prototypical temporal profiles of contact clusters across conditions: Trimmed-mean target-locked activity profiles of three contact clusters across the 8 conditions (Congruent/Incongruent Trial × short-SOA/long-SOA × Ipsilateral target (Ipsi)/contralateral target (Contra)). Cluster 1 (yellow) shows contralateral fast responses, with cue-target activity segregation at both SOAs; Cluster 2 (red) shows bilateral slower responses with spatial sensitivity, with cue-target activity segregation at long-SOA but response integration in short-SOA; and Cluster 3 (green) shows bilateral slowest responses with stimulus-type sensitivity, with cue-target activity segregation at long-SOA but response integration at short-SOA. Dashed vertical lines represent target onset (black) and cue onset at short-SOA (blue) and long-SOA (red). C Temporal gradient of target-locked activity (trimmed-mean) of the three clusters. The Black dashed line depicts the target onset. D Scatter plot of peak times of mean target-locked activity of contacts of Cluster 1 (yellow circles), Cluster 2 (red circles), and Cluster 3 (green circles), in Congruent (x-axis) and Incongruent ( y -axis) conditions, showing a significant temporal gradient (Mixed 2-way ANOVA, Cluster main effect p < 0.001, η 2 = 0.378; linear polynomial contrast: p ≤ 0.001). Squares represent mean peak time; the Dotted gray line denotes the equity line; Shaded areas represent peak time distributions.

Article Snippet: Contact localizations in standard MNI152 space were visualized with the BrainNet Viewer Matlab toolbox ( http://www.nitrc.org/projects/bnv/bnv/ ; Matlab R2016b and R2020a, The MathWorks, Inc.).

Techniques: Activity Assay

Journal: Nature Communications

Article Title: Intracortical recordings reveal vision-to-action cortical gradients driving human exogenous attention

doi: 10.1038/s41467-024-46013-4

Figure Lengend Snippet: A Clusters’ spatial profile. Illustration of the localization of the contacts composing each cluster: Cluster 1 (yellow), Cluster 2 (red), Cluster 3 (green). For each cluster, dots represent contacts’ localization in dorsal (middle), lateral (top), and medial (bottom) views of the right hemisphere (RH; right) and of the left hemisphere (LH; left). B Core–Periphery gradient: Clusters’ anatomical localization follows core–periphery gradients , where Cluster 1’s contacts are the most peripheral, and Cluster 3’s contacts are closest to core regions. C Left: Scatter plot of contacts localization along core–periphery gradients (Cluster 1—yellow circles, n = 62 independent contacts; Cluster 2—red circles, n = 97 independent contacts; Cluster 3—green circles, n = 67 independent contacts; rectangles represent clusters’ mean). Right: Violin plots of contacts localization along Core-Periphery gradients for Cluster 1 (yellow), Cluster 2 (red) and Cluster 3 (green), showing a significant core-periphery gradient (Gradient 1: 1-way ANOVA, p < 0.001, η 2 = 0.06; linear polynomial contrast: p ≤ 0.001; Gradient 2: 1-way ANOVA, p < 0.001, η 2 = 0.28; linear polynomial contrast: p ≤ 0.001; n = 232 independent contacts in total). The box centerlines depict the medians, the bounds of the box depict the 75%/25% quartiles, and the whiskers depict the top & bottom 25% percentiles. D Cluster contacts are structurally connected: Corrected tractography t-maps, showing the significant white matter voxels, which connect pre and post-rolandic contacts within each cluster (Cluster 1—yellow; Cluster 2—red, Cluster 3—green), derived from a fiber tracking analysis of 176 healthy individuals. E Contacts’ receptive windows lengthen along the cluster gradient: Raincloud plots of individual contacts’ receptive window length (circles), showing a significant linear lengthening from Cluster 1 (yellow, n = 62 independent contacts), to Cluster 2 (red, n = 97 independent contacts), to Cluster 3 (green, n = 67 independent contacts; 1-way ANOVA : p < 0.001, η 2 = 0.11; linear polynomial contrast: p ≤ 0.001; n = 232 independent contacts in total). The box centerlines depict the medians, the bounds of the box depict the 75%/25% quartiles, and the whiskers depict the top & bottom 25% percentiles. Brain visualization was done using BrainNet Viewer Matlab toolbox (Xia M, Wang J, He Y (2013) BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics. PLoS ONE 8(7): e68910. doi:10.1371/journal.pone.0068910).

Article Snippet: Contact localizations in standard MNI152 space were visualized with the BrainNet Viewer Matlab toolbox ( http://www.nitrc.org/projects/bnv/bnv/ ; Matlab R2016b and R2020a, The MathWorks, Inc.).

Techniques: Derivative Assay

Journal: Nature Communications

Article Title: Intracortical recordings reveal vision-to-action cortical gradients driving human exogenous attention

doi: 10.1038/s41467-024-46013-4

Figure Lengend Snippet: Mean target-locked long-SOA activity in Cluster 1 (yellow), Cluster 2 (red), and Cluster 3 (green), was computed over trials pooled across all cluster contacts for Congruent trials (full lines) and Incongruent trials (dashed lines). A In Cluster 1, no significant Congruence effect was observed in a 3-way ANOVA with Holm multiple comparisons correction. B In Cluster 2 activity in Congruent and Incongruent trials (IOR-related) differed significantly in a 3-way ANOVA with Holm multiple comparisons correction at 0.24–0.3 s post target (shaded red areas; Congruence main effect: largest p = 0.002), and a significant hemispheric difference between IOR-related responses was observed at 0.14–0.022 s post target (shaded brown area; Hemisphere × Congruence interaction: largest p = 0.03; Diagonally striped areas represent significant Congruence × Hemisphere post hoc comparisons ( p < 0.05)). C In Cluster 3, activity in Congruent and Incongruent trials differed significantly in a 3-way ANOVA with Holm multiple comparisons correction at 0.66–0.68 s post target (green shaded area; Congruence main effect: largest p = 0.003). A-C. Shaded areas around traces depict SEM; Dashed vertical lines represent target onset (black) and cue onset (red) at the long-SOA Condition. D Representative examples of HFBB power IOR-related activity in the Congruent (full line) & Incongruent (dashed line) long-SOA conditions of individual contacts of Cluster 2, shaded areas around traces depict SEM. p Values are Holm corrected. Brain visualization was done using BrainNet Viewer Matlab toolbox (Xia M, Wang J, He Y (2013) BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics. PLoS ONE 8(7): e68910. doi:10.1371/journal.pone.0068910).

Article Snippet: Contact localizations in standard MNI152 space were visualized with the BrainNet Viewer Matlab toolbox ( http://www.nitrc.org/projects/bnv/bnv/ ; Matlab R2016b and R2020a, The MathWorks, Inc.).

Techniques: Activity Assay

Journal: Nature Communications

Article Title: Intracortical recordings reveal vision-to-action cortical gradients driving human exogenous attention

doi: 10.1038/s41467-024-46013-4

Figure Lengend Snippet: A RT modulates target-locked neural activity, pooled across conditions and color-coded from fastest (Magenta) to slowest (yellow) RT bin. A dashed vertical black line represents target onset; Color-coded dots at the top of each panel represent mean RT for each bin (pink—fastest RT to yellow—slowest RT); 1-way repeated measures ANOVA, Holm multiple comparisons correction. Top: Late RT modulation of activity in Cluster 1 (yellow): Main effect of RT bin at 0.5–0.54 and 0.56–0.68 s post-target (shaded yellow area; largest p = 0.002). Middle: RT modulation of neural response offset in Cluster 2 (red): Main effect of RT bin at 0.3–0.56 s post target (shaded red area; largest p = 0.028). Bottom: RT modulation of response in Cluster 3 (green): Main effect of RT bin at 0.28–0.3 and 0.4–0.42 s post target (shaded green area; largest p = 0.007). B Examples of single contact neural activity in the fastest (pink) and slowest (yellow) thirds of trials for the three target-locked clusters. Vertical dashed black lines represent target onset; Vertical full lines denote mean RT for fastest (magenta) and slowest (yellow) trials, shaded areas around traces depict SEM. C Visual modulation of response-locked neural activity pooled across conditions, color-coded from fastest (Magenta) to the slowest (yellow) bin. The dashed vertical gray line represents RT; color-coded dots at the top of each panel represent the mean target onset time for each bin (pink—earliest onset to yellow—latest onset); 1-way repeated measures ANOVA, Holm multiple comparisons correction. Top: target onset time modulates activity in the RT-Cluster 1 (yellow): Main effect of RT-bin at 0.12–0.10 s pre-response (shaded yellow area; largest p = 0.04). Target onset time modulates activity in the RT-Cluster 2a (orange): Main effect of RT bin at 0.70–0.68 s, 0.52–0.50 s, and 0.30–0.20 s pre-response (shaded orange area; largest p = 0.004). No significant modulation in RT-Cluster 2b (turquoise) and RT-Cluster 3 (green). Arrows between panels A and C denote the contingency between target-locked and response-locked clusters (see Fig. ). D Examples of single contact neural activity in the fastest (pink) and slowest (yellow) thirds of trials for RT-Cluster 1 and RT-Cluster 2a. Vertical dashed gray lines represent RT; Vertical full lines denote the mean target onset time for the fastest (magenta) and slowest (yellow) trials, shaded areas around traces depict SEM. p Values are Holm corrected. Brain visualization was done using BrainNet Viewer Matlab toolbox (Xia M, Wang J, He Y (2013) BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics. PLoS ONE 8(7): e68910. doi:10.1371/journal.pone.0068910).

Article Snippet: Contact localizations in standard MNI152 space were visualized with the BrainNet Viewer Matlab toolbox ( http://www.nitrc.org/projects/bnv/bnv/ ; Matlab R2016b and R2020a, The MathWorks, Inc.).

Techniques: Activity Assay

Journal: Scientific Reports

Article Title: Alterations in Amygdala Connectivity in Internet Addiction Disorder

doi: 10.1038/s41598-020-59195-w

Figure Lengend Snippet: Relationship between regional rsFC of amygdala-PFC and duration of IA. ( A , B ) Regional rsFC measures between amygdala and brain regions of PFC shown in Fig. , and all the regional rsFC had statistically significant difference between IA and HC groups with p < 8.7e-03 and p < 2.5e-03 for left and right amygdala, respectively. ( C ) The negative correlation between the adjusted regional rsFC measure of left amygdala-DLPFC_R and the duration of Internet addiction (months) in the IA group( r = −0.49, p < 8.0e-03). The rsFC* is the z value of regional rsFC measure adjusted by age, sex, HAMA score and BDI-13 score using multiple linear regression. In ( A , B ), on each box, the central mark is the median, the edges of the box are the 25th and 75th percentiles, and whiskers extend from each edge of the box to the most extreme values within 1.5 times the interquartile range. Stars indicate that the difference was statistically significant, and p values were results from two-sample t-test. Abbreviations: HAMA, Hamilton Anxiety Scale; BDI-13, Beck Depression Inventory (13 items). The other abbreviations are given in Fig. and Table . The figure was drawn by using MATLAB (R2016b version 9.1.0.441655) ( https://www.mathworks.com/ ).

Article Snippet: The ( A – C ) were drawn by using MATLAB (R2016b version 9.1.0.441655) ( https://www.mathworks.com/ ), BrainNet Viewer (BrainNet Viewer 1.7) ( https://www.nitrc.org/projects/bnv/ ), and MRIcron (MRIcron version 1.0.20190902) ( https://www.nitrc.org/projects/mricron/ ), respectively.

Techniques:

Journal: Scientific Reports

Article Title: Alterations in Amygdala Connectivity in Internet Addiction Disorder

doi: 10.1038/s41598-020-59195-w

Figure Lengend Snippet: Altered structural connectivity (SC) and fractional anisotropy (FA) in subjects with IA. ( A ) SC measures of the pathway between right amygdala and ACC, and the differences in SC measures between HC and IA groups were statistically significant ( p < 2.0e-04). ( B ) 3D view of the white matter pathway traversing right amygdala and ACC (in cyan). ( C ) Brain regions (in red/yellow) with statistically significant difference in FA between IA and HC groups on the white matter pathway traversing right amygdala and ACC (in cyan). In ( A ), on each box, the central mark is the median, the edges of the box are the 25th and 75th percentiles, and whiskers extend from each edge of the box to the most extreme values within 1.5 times the interquartile range. The p values were results from two-sample t-test. The abbreviations are given in Fig. and Table . The ( A – C ) were drawn by using MATLAB (R2016b version 9.1.0.441655) ( https://www.mathworks.com/ ), BrainNet Viewer (BrainNet Viewer 1.7) ( https://www.nitrc.org/projects/bnv/ ), and MRIcron (MRIcron version 1.0.20190902) ( https://www.nitrc.org/projects/mricron/ ), respectively.

Article Snippet: The ( A – C ) were drawn by using MATLAB (R2016b version 9.1.0.441655) ( https://www.mathworks.com/ ), BrainNet Viewer (BrainNet Viewer 1.7) ( https://www.nitrc.org/projects/bnv/ ), and MRIcron (MRIcron version 1.0.20190902) ( https://www.nitrc.org/projects/mricron/ ), respectively.

Techniques: