brain imaging data structure Search Results


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INCF brain imaging data structure (bids)
Brain Imaging Data Structure (Bids), supplied by INCF, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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SCHOTT brain structural magnetic resonance imaging
Brain Structural Magnetic Resonance Imaging, supplied by SCHOTT, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Allen Institute for Brain Science calcium imaging data
Calcium Imaging Data, supplied by Allen Institute for Brain Science, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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KU Leuven brain imaging data structure (bids) format using the ku leuven neuroimaging suite (kul_nis)
Summarized demographics, pathological type, distribution, and volumes.
Brain Imaging Data Structure (Bids) Format Using The Ku Leuven Neuroimaging Suite (Kul Nis), supplied by KU Leuven, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Siemens AG 1.5t siemens avanto high-resolution t1-weighted structural magnetic resonance imaging (smri) brain scans (mprage)
Summarized demographics, pathological type, distribution, and volumes.
1.5t Siemens Avanto High Resolution T1 Weighted Structural Magnetic Resonance Imaging (Smri) Brain Scans (Mprage), supplied by Siemens AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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NeuroMark Genomics Inc autism brain imaging data exchange release 1
Results of study 2, which supports that SZ <t>and</t> <t>ASD</t> show common alterations in sFNC. (A): Mean sFNC pattern across all subjects for <t>ABIDEI.</t> (B) and (C): T-values of all sFNCs and T-values of the sFNCs passing the multiple comparisons correction (p < 0.05 with Bonferroni correction), obtained from two-sample t-tests of HC vs. ASD for ABIDEI. “BFN” denotes Bonferroni correction. (D): Mean sFNC strength of each group (ASD, SZ and HC) in the common impairments between SZ and ASD. For each commonly impaired sFNC, the averaged connectivity values in ASD patients of ABIDEI, SZ patients of FBIRN and MPRC, and HCs of the three datasets are shown, respectively. (E) and (F): The significant correlations (r and p values) between FNC measures and clinical symptoms, with p < 0.05. The T-value from testing group difference between HC and disorder by two-sample t -test is also included in each subfigure. Taking (F) for an instance, it shows the correlation between FNC measure (corresponding to IC 69 and IC 21) and ADOS score in ASD patients. The T-value of FNC measure from two-sample t -test between HC and ASD is also shown in the title part.
Autism Brain Imaging Data Exchange Release 1, supplied by NeuroMark Genomics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Siemens AG structural anatomical brain images
Results of study 2, which supports that SZ <t>and</t> <t>ASD</t> show common alterations in sFNC. (A): Mean sFNC pattern across all subjects for <t>ABIDEI.</t> (B) and (C): T-values of all sFNCs and T-values of the sFNCs passing the multiple comparisons correction (p < 0.05 with Bonferroni correction), obtained from two-sample t-tests of HC vs. ASD for ABIDEI. “BFN” denotes Bonferroni correction. (D): Mean sFNC strength of each group (ASD, SZ and HC) in the common impairments between SZ and ASD. For each commonly impaired sFNC, the averaged connectivity values in ASD patients of ABIDEI, SZ patients of FBIRN and MPRC, and HCs of the three datasets are shown, respectively. (E) and (F): The significant correlations (r and p values) between FNC measures and clinical symptoms, with p < 0.05. The T-value from testing group difference between HC and disorder by two-sample t -test is also included in each subfigure. Taking (F) for an instance, it shows the correlation between FNC measure (corresponding to IC 69 and IC 21) and ADOS score in ASD patients. The T-value of FNC measure from two-sample t -test between HC and ASD is also shown in the title part.
Structural Anatomical Brain Images, supplied by Siemens AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Allen Institute for Brain Science atlas-based imaging data analysis of structural and functional mouse brain mri (aidamri)
Results of study 2, which supports that SZ <t>and</t> <t>ASD</t> show common alterations in sFNC. (A): Mean sFNC pattern across all subjects for <t>ABIDEI.</t> (B) and (C): T-values of all sFNCs and T-values of the sFNCs passing the multiple comparisons correction (p < 0.05 with Bonferroni correction), obtained from two-sample t-tests of HC vs. ASD for ABIDEI. “BFN” denotes Bonferroni correction. (D): Mean sFNC strength of each group (ASD, SZ and HC) in the common impairments between SZ and ASD. For each commonly impaired sFNC, the averaged connectivity values in ASD patients of ABIDEI, SZ patients of FBIRN and MPRC, and HCs of the three datasets are shown, respectively. (E) and (F): The significant correlations (r and p values) between FNC measures and clinical symptoms, with p < 0.05. The T-value from testing group difference between HC and disorder by two-sample t -test is also included in each subfigure. Taking (F) for an instance, it shows the correlation between FNC measure (corresponding to IC 69 and IC 21) and ADOS score in ASD patients. The T-value of FNC measure from two-sample t -test between HC and ASD is also shown in the title part.
Atlas Based Imaging Data Analysis Of Structural And Functional Mouse Brain Mri (Aidamri), supplied by Allen Institute for Brain Science, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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KU Leuven voxel-based comparison of state-of-the-art reconstruction algorithms for 18f-fdg pet brain imaging using simulated and clinical data
Results of study 2, which supports that SZ <t>and</t> <t>ASD</t> show common alterations in sFNC. (A): Mean sFNC pattern across all subjects for <t>ABIDEI.</t> (B) and (C): T-values of all sFNCs and T-values of the sFNCs passing the multiple comparisons correction (p < 0.05 with Bonferroni correction), obtained from two-sample t-tests of HC vs. ASD for ABIDEI. “BFN” denotes Bonferroni correction. (D): Mean sFNC strength of each group (ASD, SZ and HC) in the common impairments between SZ and ASD. For each commonly impaired sFNC, the averaged connectivity values in ASD patients of ABIDEI, SZ patients of FBIRN and MPRC, and HCs of the three datasets are shown, respectively. (E) and (F): The significant correlations (r and p values) between FNC measures and clinical symptoms, with p < 0.05. The T-value from testing group difference between HC and disorder by two-sample t -test is also included in each subfigure. Taking (F) for an instance, it shows the correlation between FNC measure (corresponding to IC 69 and IC 21) and ADOS score in ASD patients. The T-value of FNC measure from two-sample t -test between HC and ASD is also shown in the title part.
Voxel Based Comparison Of State Of The Art Reconstruction Algorithms For 18f Fdg Pet Brain Imaging Using Simulated And Clinical Data, supplied by KU Leuven, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Brainlab AG method for finding fibers in image data of a brain
Results of study 2, which supports that SZ <t>and</t> <t>ASD</t> show common alterations in sFNC. (A): Mean sFNC pattern across all subjects for <t>ABIDEI.</t> (B) and (C): T-values of all sFNCs and T-values of the sFNCs passing the multiple comparisons correction (p < 0.05 with Bonferroni correction), obtained from two-sample t-tests of HC vs. ASD for ABIDEI. “BFN” denotes Bonferroni correction. (D): Mean sFNC strength of each group (ASD, SZ and HC) in the common impairments between SZ and ASD. For each commonly impaired sFNC, the averaged connectivity values in ASD patients of ABIDEI, SZ patients of FBIRN and MPRC, and HCs of the three datasets are shown, respectively. (E) and (F): The significant correlations (r and p values) between FNC measures and clinical symptoms, with p < 0.05. The T-value from testing group difference between HC and disorder by two-sample t -test is also included in each subfigure. Taking (F) for an instance, it shows the correlation between FNC measure (corresponding to IC 69 and IC 21) and ADOS score in ASD patients. The T-value of FNC measure from two-sample t -test between HC and ASD is also shown in the title part.
Method For Finding Fibers In Image Data Of A Brain, supplied by Brainlab AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Neurodata GmbH brain imaging data structure bids
Results of study 2, which supports that SZ <t>and</t> <t>ASD</t> show common alterations in sFNC. (A): Mean sFNC pattern across all subjects for <t>ABIDEI.</t> (B) and (C): T-values of all sFNCs and T-values of the sFNCs passing the multiple comparisons correction (p < 0.05 with Bonferroni correction), obtained from two-sample t-tests of HC vs. ASD for ABIDEI. “BFN” denotes Bonferroni correction. (D): Mean sFNC strength of each group (ASD, SZ and HC) in the common impairments between SZ and ASD. For each commonly impaired sFNC, the averaged connectivity values in ASD patients of ABIDEI, SZ patients of FBIRN and MPRC, and HCs of the three datasets are shown, respectively. (E) and (F): The significant correlations (r and p values) between FNC measures and clinical symptoms, with p < 0.05. The T-value from testing group difference between HC and disorder by two-sample t -test is also included in each subfigure. Taking (F) for an instance, it shows the correlation between FNC measure (corresponding to IC 69 and IC 21) and ADOS score in ASD patients. The T-value of FNC measure from two-sample t -test between HC and ASD is also shown in the title part.
Brain Imaging Data Structure Bids, supplied by Neurodata GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Neurodata GmbH brain imaging data structure
Results of study 2, which supports that SZ <t>and</t> <t>ASD</t> show common alterations in sFNC. (A): Mean sFNC pattern across all subjects for <t>ABIDEI.</t> (B) and (C): T-values of all sFNCs and T-values of the sFNCs passing the multiple comparisons correction (p < 0.05 with Bonferroni correction), obtained from two-sample t-tests of HC vs. ASD for ABIDEI. “BFN” denotes Bonferroni correction. (D): Mean sFNC strength of each group (ASD, SZ and HC) in the common impairments between SZ and ASD. For each commonly impaired sFNC, the averaged connectivity values in ASD patients of ABIDEI, SZ patients of FBIRN and MPRC, and HCs of the three datasets are shown, respectively. (E) and (F): The significant correlations (r and p values) between FNC measures and clinical symptoms, with p < 0.05. The T-value from testing group difference between HC and disorder by two-sample t -test is also included in each subfigure. Taking (F) for an instance, it shows the correlation between FNC measure (corresponding to IC 69 and IC 21) and ADOS score in ASD patients. The T-value of FNC measure from two-sample t -test between HC and ASD is also shown in the title part.
Brain Imaging Data Structure, supplied by Neurodata GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/brain imaging data structure/product/Neurodata GmbH
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Image Search Results


Summarized demographics, pathological type, distribution, and volumes.

Journal: Human Brain Mapping

Article Title: Comparative validation of automated presurgical tractography based on constrained spherical deconvolution and diffusion tensor imaging with direct electrical stimulation

doi: 10.1002/hbm.26662

Figure Lengend Snippet: Summarized demographics, pathological type, distribution, and volumes.

Article Snippet: All acquired images were converted to the brain imaging data structure (BIDS) (Gorgolewski et al., ) format using the KU Leuven Neuroimaging suite (KUL_NIS) ( KULeuven Neuro Imaging Suite (KUL_NIS) , 2018/ ) ( https://github.com/treanus/KUL_NIS ) and dcm2bids (Bedetti et al., ).

Techniques:

Schematic representation of the data preprocessing and analysis workflow used to compare different tractography results to intraoperative mapping outcome. BIDS, brain imaging data structure; DSC, dice similarity coefficient; DTI, diffusion tensor imaging; FACT, fiber assignment by continuous tracking; JI, Jaccard index; KUL_FWT, KU Leuven fun with tracts; KUL_NIS, KU Leuven neuroimaging suite; KUL_VBG, KU Leuven virtual brain grafting; MRI, magnetic resonance imaging.

Journal: Human Brain Mapping

Article Title: Comparative validation of automated presurgical tractography based on constrained spherical deconvolution and diffusion tensor imaging with direct electrical stimulation

doi: 10.1002/hbm.26662

Figure Lengend Snippet: Schematic representation of the data preprocessing and analysis workflow used to compare different tractography results to intraoperative mapping outcome. BIDS, brain imaging data structure; DSC, dice similarity coefficient; DTI, diffusion tensor imaging; FACT, fiber assignment by continuous tracking; JI, Jaccard index; KUL_FWT, KU Leuven fun with tracts; KUL_NIS, KU Leuven neuroimaging suite; KUL_VBG, KU Leuven virtual brain grafting; MRI, magnetic resonance imaging.

Article Snippet: All acquired images were converted to the brain imaging data structure (BIDS) (Gorgolewski et al., ) format using the KU Leuven Neuroimaging suite (KUL_NIS) ( KULeuven Neuro Imaging Suite (KUL_NIS) , 2018/ ) ( https://github.com/treanus/KUL_NIS ) and dcm2bids (Bedetti et al., ).

Techniques: Imaging, Diffusion-based Assay, Magnetic Resonance Imaging

Results of study 2, which supports that SZ and ASD show common alterations in sFNC. (A): Mean sFNC pattern across all subjects for ABIDEI. (B) and (C): T-values of all sFNCs and T-values of the sFNCs passing the multiple comparisons correction (p < 0.05 with Bonferroni correction), obtained from two-sample t-tests of HC vs. ASD for ABIDEI. “BFN” denotes Bonferroni correction. (D): Mean sFNC strength of each group (ASD, SZ and HC) in the common impairments between SZ and ASD. For each commonly impaired sFNC, the averaged connectivity values in ASD patients of ABIDEI, SZ patients of FBIRN and MPRC, and HCs of the three datasets are shown, respectively. (E) and (F): The significant correlations (r and p values) between FNC measures and clinical symptoms, with p < 0.05. The T-value from testing group difference between HC and disorder by two-sample t -test is also included in each subfigure. Taking (F) for an instance, it shows the correlation between FNC measure (corresponding to IC 69 and IC 21) and ADOS score in ASD patients. The T-value of FNC measure from two-sample t -test between HC and ASD is also shown in the title part.

Journal: NeuroImage : Clinical

Article Title: NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

doi: 10.1016/j.nicl.2020.102375

Figure Lengend Snippet: Results of study 2, which supports that SZ and ASD show common alterations in sFNC. (A): Mean sFNC pattern across all subjects for ABIDEI. (B) and (C): T-values of all sFNCs and T-values of the sFNCs passing the multiple comparisons correction (p < 0.05 with Bonferroni correction), obtained from two-sample t-tests of HC vs. ASD for ABIDEI. “BFN” denotes Bonferroni correction. (D): Mean sFNC strength of each group (ASD, SZ and HC) in the common impairments between SZ and ASD. For each commonly impaired sFNC, the averaged connectivity values in ASD patients of ABIDEI, SZ patients of FBIRN and MPRC, and HCs of the three datasets are shown, respectively. (E) and (F): The significant correlations (r and p values) between FNC measures and clinical symptoms, with p < 0.05. The T-value from testing group difference between HC and disorder by two-sample t -test is also included in each subfigure. Taking (F) for an instance, it shows the correlation between FNC measure (corresponding to IC 69 and IC 21) and ADOS score in ASD patients. The T-value of FNC measure from two-sample t -test between HC and ASD is also shown in the title part.

Article Snippet: In study 2, we identified the functional changes in ASD using the release 1 of Autism Brain Imaging Data Exchange (ABIDEI) data, and then linked the results to study 1, aiming to show the ability of NeuroMark in the cross-disorder comparison.

Techniques: