Journal: Scientific Reports

Article Title: Dogs’ olfactory resting-state functional connectivity is modulated by age and brain shape

doi: 10.1038/s41598-025-95123-6

Figure Lengend Snippet: Resting-state functional connections across olfactory regions in the dog brain. Twenty-six significant connections across all 14 ROIs among all subjects, calculated by CONN. Calculated connections were Fisher-transformed Pearson correlation coefficients. The maximum value (8.67) is the highest correlation coefficient among found connections. The 3D brain image with ROIs and connections was created using Blender (Version 4.1, Blender Foundation, 2023) ( https://www.blender.org ) based on a publicly available template MRI image of a dog ( https://figshare.com/s/628cbf7d4210271ffe70 ).

Article Snippet: For these processes, MATLAB (version R2023b, MathWorks, Natick, MA, USA) (for steps 6–7), Statistical Parametric Mapping 12 (SPM12) software with MATLAB (Wellcome Centre for Human Neuroimaging, UCL, London, UK) (for steps 1–5), and the CONN functional connectivity toolbox with MATLAB (version 22.a, www.nitrc.org/projects/conn ) (for steps 8–9) were applied.

Techniques: Functional Assay, Transformation Assay

Journal: Neurobiology of Language

Article Title: A Comparison of Denoising Approaches for Spoken Word Production Related Artefacts in Continuous Multiband fMRI Data

doi: 10.1162/nol_a_00151

Figure Lengend Snippet: Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases (CONN method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings from SPM12. All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).

Article Snippet: Preprocessing and statistical analyses were conducted using SPM12 ( https://www.fil.ion.ucl.ac.uk/spm/software/spm12/ ) and the CONN toolbox (Version 22.a; ) in MATLAB R2019B ( ).

Techniques:

Journal: Neurobiology of Language

Article Title: A Comparison of Denoising Approaches for Spoken Word Production Related Artefacts in Continuous Multiband fMRI Data

doi: 10.1162/nol_a_00151

Figure Lengend Snippet: Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases (CONN method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings from SPM12. All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).

Article Snippet: Preprocessing and statistical analyses were conducted using SPM12 ( https://www.fil.ion.ucl.ac.uk/spm/software/spm12/ ) and the CONN toolbox (Version 22.a; ) in MATLAB R2019B ( ).

Techniques:

Journal: Neurobiology of Language

Article Title: A Comparison of Denoising Approaches for Spoken Word Production Related Artefacts in Continuous Multiband fMRI Data

doi: 10.1162/nol_a_00151

Figure Lengend Snippet: Group-level significant BOLD signal decreases. A . Clusters showing significant BOLD signal decreases due to residual head motion (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal decreases associated with CSF/edge effects (5 aCompCor components). A and B are shown on a rendered inflated cortical surface from SPM12. C . Clusters showing significant global BOLD signal decreases (mask value set at 0%, no significant activity was observed with mask value set at 80%). Clusters are shown on the averaged T1-weighted scan of all 18 participants, and the section view is centred on the peak cluster. All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).

Article Snippet: Preprocessing and statistical analyses were conducted using SPM12 ( https://www.fil.ion.ucl.ac.uk/spm/software/spm12/ ) and the CONN toolbox (Version 22.a; ) in MATLAB R2019B ( ).

Techniques: Activity Assay

Journal: Neurobiology of Language

Article Title: A Comparison of Denoising Approaches for Spoken Word Production Related Artefacts in Continuous Multiband fMRI Data

doi: 10.1162/nol_a_00151

Figure Lengend Snippet: Changes in temporal signal-to-noise ratio (tSNR) between Pipelines 1 and 7. A . Maps showing the distribution and magnitude of tSNR for images following the application of global signal regression (GSR) with LMGS (Pipeline 7) compared to without (Pipeline 1), plotted on the MNI152 template in MRIcroGL. Scale is set at the maximum value across both maps. Slices are centred on MNI coordinates −36, −15, −30 in the ventral anterior temporal lobe. B . Regions showing significant tSNR increases for images with GSR applied via LMGS, rendered on an inflated cortical surface in SPM12. Height thresholded at p < 0.05 (FWE corrected) with spatial cluster extent at 5 for visualization purposes.

Article Snippet: Preprocessing and statistical analyses were conducted using SPM12 ( https://www.fil.ion.ucl.ac.uk/spm/software/spm12/ ) and the CONN toolbox (Version 22.a; ) in MATLAB R2019B ( ).

Techniques: