abide_9002_23: Local brain activity at resting state
In GET: Global Envelopes
abide_9002_23 R Documentation
Local brain activity at resting state
Description
Imaging measurements for local brain activity at resting state
Usage
data("abide_9002_23")
Format
A list of the curve_set containing the data,
coordinates (x,y) where the data have been observed (third dimension is 23),
the discrete factor Group (1=Autism; 2=Control),
the discrete factor Sex (1=Male; 2=Female),
and the continuous factor Age.
Details
The data are a small part of ABIDE fALFF data available at
ABIDE: http://fcon_1000.projects.nitrc.org/indi/abide/
fALFF: http://fcp-indi.github.io/docs/user/alff.html
and distributed under the CC BY-NC-SA 3.0 license,
https://creativecommons.org/licenses/by-nc-sa/3.0/.
The data are fractional Amplitude of Low Frequency Fluctuations (fALFF) (Zou et al. 2008)
for Autism Brain Imaging Data Exchange collected resting state functional magnetic resonance
imaging (R-fMRI) datasets (Di Martino et al. 2013).
This data set in GET contains only a tiny part of the whole brain, namely
the region 9002 (the right Cerebelum Crus 1) at slice 23
(see Figure 2 in Mrkvicka et al., 2019) for 514 individuals with the autism spectrum
disorder (ASD) and 557 typical controls (TC) as specified in the given Group variable.
Further the sex and age of each subject is given.
References
Di Martino, A., Yan, C., Li, Q., Denio, E., Castellanos, F., Alaerts, K., Anderson, J., Assaf, M., Bookheimer, S., Dapretto, M., et al. (2013) The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Molecular psychiatry.
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., and Joliot, M. (2002), Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage, 15, 273-289.
Zou, Q.-H., Zhu, C.-Z., Yang, Y., Zuo, X.-N., Long, X.-Y., Cao, Q.-J., Wang, Y.-F., and Zang, Y.-F. (2008), An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF. Journal of neuroscience methods, 172, 137-141.
Mrkvička, T., Myllymäki, M., Kuronen, M. and Narisetty, N. N. (2022) New methods for multiple testing in permutation inference for the general linear model. Statistics in Medicine 41(2), 276-297. doi: 10.1002/sim.9236
GET documentation built on Sept. 29, 2023, 5:06 p.m.
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| abide_9002_23 | R Documentation |
Local brain activity at resting state
Description
Imaging measurements for local brain activity at resting state
Usage
data("abide_9002_23")
Format
A list of the curve_set containing the data,
coordinates (x,y) where the data have been observed (third dimension is 23),
the discrete factor Group (1=Autism; 2=Control),
the discrete factor Sex (1=Male; 2=Female),
and the continuous factor Age.
Details
The data are a small part of ABIDE fALFF data available at ABIDE: http://fcon_1000.projects.nitrc.org/indi/abide/ fALFF: http://fcp-indi.github.io/docs/user/alff.html and distributed under the CC BY-NC-SA 3.0 license, https://creativecommons.org/licenses/by-nc-sa/3.0/.
The data are fractional Amplitude of Low Frequency Fluctuations (fALFF) (Zou et al. 2008) for Autism Brain Imaging Data Exchange collected resting state functional magnetic resonance imaging (R-fMRI) datasets (Di Martino et al. 2013). This data set in GET contains only a tiny part of the whole brain, namely the region 9002 (the right Cerebelum Crus 1) at slice 23 (see Figure 2 in Mrkvicka et al., 2019) for 514 individuals with the autism spectrum disorder (ASD) and 557 typical controls (TC) as specified in the given Group variable. Further the sex and age of each subject is given.
References
Di Martino, A., Yan, C., Li, Q., Denio, E., Castellanos, F., Alaerts, K., Anderson, J., Assaf, M., Bookheimer, S., Dapretto, M., et al. (2013) The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Molecular psychiatry.
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., and Joliot, M. (2002), Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage, 15, 273-289.
Zou, Q.-H., Zhu, C.-Z., Yang, Y., Zuo, X.-N., Long, X.-Y., Cao, Q.-J., Wang, Y.-F., and Zang, Y.-F. (2008), An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF. Journal of neuroscience methods, 172, 137-141.
Mrkvička, T., Myllymäki, M., Kuronen, M. and Narisetty, N. N. (2022) New methods for multiple testing in permutation inference for the general linear model. Statistics in Medicine 41(2), 276-297. doi: 10.1002/sim.9236
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