Connectivity-based parcellation in Autism Spectrum Disorder

Research output

Research output per year 2016 2016 2017 2018 2018

• 5 Article

Research output per year

Research output per year

Search results

• Connectivity-based parcellation increases network detection sensitivity in resting state fMRI: An investigation into the cingulate cortex in autism

  Balsters, J. H., Mantini, D., Apps, M. A. J., Eickhoff, S. B. & Wenderoth, N., 25 Mar 2016, (E-pub ahead of print) In: NeuroImage. Clinical. 11, p. 494-507 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Connectivity-based parcellation reveals distinct cortico-striatal connectivity fingerprints in Autism Spectrum Disorder

  Balsters, J. H., Mantini, D. & Wenderoth, N., 15 Apr 2018, In: NeuroImage. 170, p. 412-423 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Corticostriatal connectivity fingerprints: Probability maps based on resting-state functional connectivity

  Jaspers, E., Balsters, J. H., Kassraian Fard, P., Mantini, D. & Wenderoth, N., 8 Feb 2017, In: Human Brain Mapping. 38, 3, p. 1478-1491 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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• Enhancing studies of the connectome in autism using the autism brain imaging data exchange II

  Di Martino, A., O'Connor, D., Chen, B., Alaerts, K., Anderson, J. S., Assaf, M., Balsters, J. H., Baxter, L., Beggiato, A., Bernaerts, S., Blanken, L. M. E., Bookheimer, S. Y., Braden, B. B., Byrge, L., Castellanos, F. X., Dapretto, M., Delorme, R., Fair, D. A., Fishman, I., Fitzgerald, J., & 19 othersGallagher, L., Keehn, R. J. J., Kennedy, D. P., Lainhart, J. E., Luna, B., Mostofsky, S. H., Müller, R-A., Nebel, M. B., Nigg, J. T., O'Hearn, K., Solomon, M., Toro, R., Vaidya, C. J., Wenderoth, N., White, T., Craddock, R. C., Lord, C., Leventhal, B. & Milham, M. P., 14 Mar 2017, In: Scientific Data. 4, p. 170010

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Promises, Pitfalls, and Basic Guidelines for Applying Machine Learning Classifiers to Psychiatric Imaging Data, with Autism as an Example

  Kassraian-Fard, P., Matthis, C., Balsters, J. H., Maathuis, M. H. & Wenderoth, N., 1 Dec 2016, In: Frontiers in psychiatry. 7, p. 177

  Research output: Contribution to journal › Article › peer-review

  Open Access