David Linden

Research activity per year

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132 Article
11 (Systematic) Review article
5 Erratum / corrigendum
4 Conference Abstract/Poster in journal
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Assessing the reliability and association of pain ratings and skin conductance responses: Insights from habituation and sensitization to pain
van der Miesen, M. M., Vossen, C. J., Eck, J., Joosten, E. A. J., Linden, D. E. J., Peters, J. C. & Kuehne, S., 1 Dec 2025, In: The Journal of Pain. 37, 13 p., 105557.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
Basal ganglia as an fMRI motor neurofeedback target in Parkinson's disease
Baqapuri, H. I., Terneusen, A., Luehrs, M., Peters, J., Kuijf, M., Goebel, R., Linden, D. & NEURIPIDES Study Group, 1 Nov 2025, (E-pub ahead of print) In: Applied Psychophysiology and Biofeedback. 19 p.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
Brain morphology mediating the effects of common genetic risk variants on Alzheimer's disease
Breddels, E. M., Snihirova, Y., Pishva, E., Gülöksüz, S., Blokland, G. A., Luykx, J., Andreassen, O. A., Linden, D. E., van der Meer, D. & Alzheimer's Disease Neuroimaging Initiative (ADNI), 24 Mar 2025, (E-pub ahead of print) In: Journal of Alzheimer's Disease Reports. 9
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning model
Goya-Maldonado, R., Erwin-Grabner, T., Zeng, L.-L., Ching, C. R. K., Aleman, A., Amod, A. R., Basgoze, Z., Benedetti, F., Besteher, B., Brosch, K., Bulow, R., Colle, R., Connolly, C. G., Corruble, E., Couvy-Duchesne, B., Cullen, K., Dannlowski, U., Davey, C. G., Dols, A. & Ernsting, J. & 31 others, Evans, J. W., Fisch, L., Fuentes-Claramonte, P., Gonul, A. S., Gotlib, I. H., Grabe, H. J., Groenewold, N. A., Grotegerd, D., Hahn, T., Hamilton, J. P., Han, L. K. M., Harrison, B. J., Ho, T. C., Jahanshad, N., Jamieson, A. J., Karuk, A., Kircher, T., Klimes-Dougan, B., Koopowitz, S.-M., Lancaster, T., Leenings, R., Li, M., Linden, D. E. J., Macmaster, F. P., Mehler, D. M. A., Meinert, S., Melloni, E., Mueller, B. A., Mwangi, B., Nenadic, I. & NIGMA Major Depressive Disorder Working Group, 1 Oct 2025, (E-pub ahead of print) In: Molecular Psychiatry. 13 p.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning Model
Goya-Maldonado, R., Erwin-Grabner, T., Zeng, L.-L., Ching, C. R. K., Aleman, A., Amod, A. R., Basgoze, Z., Benedetti, F., Besteher, B., Brosch, K., Bülow, R., Colle, R., Connolly, C. G., Corruble, E., Couvy-Duchesne, B., Cullen, K., Dannlowski, U., Davey, C. G., Dols, A. & Ernsting, J. & 31 others, Evans, J. W., Fisch, L., Fuentes-Claramonte, P., Gonul, A. S., Gotlib, I. H., Grabe, H. J., Groenewold, N. A., Grotegerd, D., Hahn, T., Hamilton, J. P., Han, L. K. M., Harrison, B. J., Ho, T. C., Jahanshad, N., Jamieson, A. J., Karuk, A., Kircher, T., Klimes-Dougan, B., Koopowitz, S.-M., Lancaster, T., Leenings, R., Li, M., Linden, D. E. J., MacMaster, F. P., Mehler, D. M. A., Meinert, S., Melloni, E., Mueller, B. A., Mwangi, B., Nenadic, I. & ENIGMA Major Depressive Disorder working group, 24 Jan 2025.
Research output: Working paper / Preprint › Preprint

Data from : Evidence to support common application switching behaviour on smartphones
Turner, L. D. (Creator), Whitaker, R. M. (Contributor), Allen, S. M. (Contributor), Linden, D. E. J. (Contributor), Tu, K. (Contributor), Li, J. (Contributor) & Towsley, D. (Contributor), DRYAD, 20 Feb 2019
DOI: 10.5061/dryad.4v4bn15
Dataset/Software: Dataset

David Linden

Fingerprint

Research output

Assessing the reliability and association of pain ratings and skin conductance responses: Insights from habituation and sensitization to pain

Basal ganglia as an fMRI motor neurofeedback target in Parkinson's disease

Brain morphology mediating the effects of common genetic risk variants on Alzheimer's disease

Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning model

Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning Model

Datasets

Data from : Evidence to support common application switching behaviour on smartphones