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Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study.

NeuroImage. Clinical

Hilland E, Johannessen C, Jonassen R, Alnæs D, Jørgensen KN, Barth C, Andreou D, Nerland S, Wortinger LA, Smelror RE, Wedervang-Resell K, Bohman H, Lundberg M, Westlye LT, Andreassen OA, Jönsson EG, Agartz I.
PMID: 34883402
Neuroimage Clin. 2021 Nov 12;33:102881. doi: 10.1016/j.nicl.2021.102881. Epub 2021 Nov 12.

Abnormal default mode network (DMN) connectivity has been found in schizophrenia and other psychotic disorders. However, there are limited studies on early onset psychosis (EOP), and their results show lack of agreement. Here, we investigated within-network DMN connectivity in...

Cite
Hilland E, Johannessen C, Jonassen R, et al. Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study. Neuroimage Clin. 2021;33:102881doi: 10.1016/j.nicl.2021.102881.
Hilland, E., Johannessen, C., Jonassen, R., Alnæs, D., Jørgensen, K. N., Barth, C., Andreou, D., Nerland, S., Wortinger, L. A., Smelror, R. E., Wedervang-Resell, K., Bohman, H., Lundberg, M., Westlye, L. T., Andreassen, O. A., Jönsson, E. G., & Agartz, I. (2021). Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study. NeuroImage. Clinical, 33102881. https://doi.org/10.1016/j.nicl.2021.102881
Hilland, Eva, et al. "Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study." NeuroImage. Clinical vol. 33 (2021): 102881. doi: https://doi.org/10.1016/j.nicl.2021.102881
Hilland E, Johannessen C, Jonassen R, Alnæs D, Jørgensen KN, Barth C, Andreou D, Nerland S, Wortinger LA, Smelror RE, Wedervang-Resell K, Bohman H, Lundberg M, Westlye LT, Andreassen OA, Jönsson EG, Agartz I. Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study. Neuroimage Clin. 2021 Nov 12;33:102881. doi: 10.1016/j.nicl.2021.102881. Epub 2021 Nov 12. PMID: 34883402; PMCID: PMC8662331.
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Novel plasma biomarkers predicting biventricular involvement in arrhythmogenic right ventricular cardiomyopathy.

American heart journal

Akdis D, Chen L, Saguner AM, Zhang N, Gawinecka J, Saleh L, von Eckardstein A, Ren J, Matter CM, Hu Z, Chen X, Tanner FC, Manka R, Chen K, Brunckhorst C, Song J, Duru F.
PMID: 34756894
Am Heart J. 2021 Oct 29;244:66-76. doi: 10.1016/j.ahj.2021.10.187. Epub 2021 Oct 29.

BACKGROUND: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited heart muscle disease characterized by fibrofatty replacement of the myocardium and ventricular arrhythmias. Biventricular involvement in ARVC may lead to heart failure. This study aimed to investigate the role of...

Cite
Akdis D, Chen L, Saguner AM, et al. Novel plasma biomarkers predicting biventricular involvement in arrhythmogenic right ventricular cardiomyopathy. Am Heart J. 2021;244:66-76doi: 10.1016/j.ahj.2021.10.187.
Akdis, D., Chen, L., Saguner, A. M., Zhang, N., Gawinecka, J., Saleh, L., von Eckardstein, A., Ren, J., Matter, C. M., Hu, Z., Chen, X., Tanner, F. C., Manka, R., Chen, K., Brunckhorst, C., Song, J., & Duru, F. (2021). Novel plasma biomarkers predicting biventricular involvement in arrhythmogenic right ventricular cardiomyopathy. American heart journal, 24466-76. https://doi.org/10.1016/j.ahj.2021.10.187
Akdis, Deniz, et al. "Novel plasma biomarkers predicting biventricular involvement in arrhythmogenic right ventricular cardiomyopathy." American heart journal vol. 244 (2021): 66-76. doi: https://doi.org/10.1016/j.ahj.2021.10.187
Akdis D, Chen L, Saguner AM, Zhang N, Gawinecka J, Saleh L, von Eckardstein A, Ren J, Matter CM, Hu Z, Chen X, Tanner FC, Manka R, Chen K, Brunckhorst C, Song J, Duru F. Novel plasma biomarkers predicting biventricular involvement in arrhythmogenic right ventricular cardiomyopathy. Am Heart J. 2021 Oct 29;244:66-76. doi: 10.1016/j.ahj.2021.10.187. Epub 2021 Oct 29. PMID: 34756894.
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Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study.

NeuroImage. Clinical

Hilland E, Johannessen C, Jonassen R, Alnæs D, Jørgensen KN, Barth C, Andreou D, Nerland S, Wortinger LA, Smelror RE, Wedervang-Resell K, Bohman H, Lundberg M, Westlye LT, Andreassen OA, Jönsson EG, Agartz I.
PMID: 34883402
Neuroimage Clin. 2021 Nov 12;33:102881. doi: 10.1016/j.nicl.2021.102881. Epub 2021 Nov 12.

Abnormal default mode network (DMN) connectivity has been found in schizophrenia and other psychotic disorders. However, there are limited studies on early onset psychosis (EOP), and their results show lack of agreement. Here, we investigated within-network DMN connectivity in...

Cite
Hilland E, Johannessen C, Jonassen R, et al. Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study. Neuroimage Clin. 2021;33:102881doi: 10.1016/j.nicl.2021.102881.
Hilland, E., Johannessen, C., Jonassen, R., Alnæs, D., Jørgensen, K. N., Barth, C., Andreou, D., Nerland, S., Wortinger, L. A., Smelror, R. E., Wedervang-Resell, K., Bohman, H., Lundberg, M., Westlye, L. T., Andreassen, O. A., Jönsson, E. G., & Agartz, I. (2021). Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study. NeuroImage. Clinical, 33102881. https://doi.org/10.1016/j.nicl.2021.102881
Hilland, Eva, et al. "Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study." NeuroImage. Clinical vol. 33 (2021): 102881. doi: https://doi.org/10.1016/j.nicl.2021.102881
Hilland E, Johannessen C, Jonassen R, Alnæs D, Jørgensen KN, Barth C, Andreou D, Nerland S, Wortinger LA, Smelror RE, Wedervang-Resell K, Bohman H, Lundberg M, Westlye LT, Andreassen OA, Jönsson EG, Agartz I. Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study. Neuroimage Clin. 2021 Nov 12;33:102881. doi: 10.1016/j.nicl.2021.102881. Epub 2021 Nov 12. PMID: 34883402; PMCID: PMC8662331.
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Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study.

NeuroImage. Clinical

Hilland E, Johannessen C, Jonassen R, Alnæs D, Jørgensen KN, Barth C, Andreou D, Nerland S, Wortinger LA, Smelror RE, Wedervang-Resell K, Bohman H, Lundberg M, Westlye LT, Andreassen OA, Jönsson EG, Agartz I.
PMID: 34883402
Neuroimage Clin. 2021 Nov 12;33:102881. doi: 10.1016/j.nicl.2021.102881. Epub 2021 Nov 12.

Abnormal default mode network (DMN) connectivity has been found in schizophrenia and other psychotic disorders. However, there are limited studies on early onset psychosis (EOP), and their results show lack of agreement. Here, we investigated within-network DMN connectivity in...

Cite
Hilland E, Johannessen C, Jonassen R, et al. Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study. Neuroimage Clin. 2021;33:102881doi: 10.1016/j.nicl.2021.102881.
Hilland, E., Johannessen, C., Jonassen, R., Alnæs, D., Jørgensen, K. N., Barth, C., Andreou, D., Nerland, S., Wortinger, L. A., Smelror, R. E., Wedervang-Resell, K., Bohman, H., Lundberg, M., Westlye, L. T., Andreassen, O. A., Jönsson, E. G., & Agartz, I. (2021). Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study. NeuroImage. Clinical, 33102881. https://doi.org/10.1016/j.nicl.2021.102881
Hilland, Eva, et al. "Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study." NeuroImage. Clinical vol. 33 (2021): 102881. doi: https://doi.org/10.1016/j.nicl.2021.102881
Hilland E, Johannessen C, Jonassen R, Alnæs D, Jørgensen KN, Barth C, Andreou D, Nerland S, Wortinger LA, Smelror RE, Wedervang-Resell K, Bohman H, Lundberg M, Westlye LT, Andreassen OA, Jönsson EG, Agartz I. Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study. Neuroimage Clin. 2021 Nov 12;33:102881. doi: 10.1016/j.nicl.2021.102881. Epub 2021 Nov 12. PMID: 34883402; PMCID: PMC8662331.
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The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset.

Scientific data

Rajib A, Zheng Q, Golden HE, Wu Q, Lane CR, Christensen JR, Morrison RR, Annis A, Nardi F.
PMID: 34654838
Sci Data. 2021 Oct 15;8(1):271. doi: 10.1038/s41597-021-01048-w.

Floodplains provide essential ecosystem functions, yet >80% of European and North American floodplains are substantially modified. Despite floodplain changes over the past century, comprehensive, long-term land use change data within large river basin floodplains are limited. Long-term land use...

Cite
Rajib A, Zheng Q, Golden HE, et al. The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset. Sci Data. 2021;8(1):271doi: 10.1038/s41597-021-01048-w.
Rajib, A., Zheng, Q., Golden, H. E., Wu, Q., Lane, C. R., Christensen, J. R., Morrison, R. R., Annis, A., & Nardi, F. (2021). The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset. Scientific data, 8(1), 271. https://doi.org/10.1038/s41597-021-01048-w
Rajib, Adnan, et al. "The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset." Scientific data vol. 8,1 (2021): 271. doi: https://doi.org/10.1038/s41597-021-01048-w
Rajib A, Zheng Q, Golden HE, Wu Q, Lane CR, Christensen JR, Morrison RR, Annis A, Nardi F. The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset. Sci Data. 2021 Oct 15;8(1):271. doi: 10.1038/s41597-021-01048-w. PMID: 34654838; PMCID: PMC8520011.
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Nonlinear Absorption and Refraction of Picosecond and Femtosecond Pulses in HgTe Quantum Dot Films.

Nanomaterials (Basel, Switzerland)

Bundulis A, Shuklov IA, Kim VV, Mardini AA, Grube J, Alnis J, Lizunova AA, Razumov VF, Ganeev RA.
PMID: 34947700
Nanomaterials (Basel). 2021 Dec 10;11(12). doi: 10.3390/nano11123351.

We report measurements of the saturated intensities, saturable absorption, and nonlinear refraction in 70-nm thick films containing 4 nm HgTe quantum dots. We demonstrate strong nonlinear refraction and saturable absorption in the thin films using tunable picosecond and femtosecond...

Cite
Bundulis A, Shuklov IA, Kim VV, et al. Nonlinear Absorption and Refraction of Picosecond and Femtosecond Pulses in HgTe Quantum Dot Films. Nanomaterials (Basel). 2021;11(12)doi: 10.3390/nano11123351.
Bundulis, A., Shuklov, I. A., Kim, V. V., Mardini, A. A., Grube, J., Alnis, J., Lizunova, A. A., Razumov, V. F., & Ganeev, R. A. (2021). Nonlinear Absorption and Refraction of Picosecond and Femtosecond Pulses in HgTe Quantum Dot Films. Nanomaterials (Basel, Switzerland), 11(12), . https://doi.org/10.3390/nano11123351
Bundulis, Arturs, et al. "Nonlinear Absorption and Refraction of Picosecond and Femtosecond Pulses in HgTe Quantum Dot Films." Nanomaterials (Basel, Switzerland) vol. 11,12 (2021). doi: https://doi.org/10.3390/nano11123351
Bundulis A, Shuklov IA, Kim VV, Mardini AA, Grube J, Alnis J, Lizunova AA, Razumov VF, Ganeev RA. Nonlinear Absorption and Refraction of Picosecond and Femtosecond Pulses in HgTe Quantum Dot Films. Nanomaterials (Basel). 2021 Dec 10;11(12). doi: 10.3390/nano11123351. PMID: 34947700.
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Novel plasma biomarkers predicting biventricular involvement in arrhythmogenic right ventricular cardiomyopathy.

American heart journal

Akdis D, Chen L, Saguner AM, Zhang N, Gawinecka J, Saleh L, von Eckardstein A, Ren J, Matter CM, Hu Z, Chen X, Tanner FC, Manka R, Chen K, Brunckhorst C, Song J, Duru F.
PMID: 34756894
Am Heart J. 2021 Oct 29;244:66-76. doi: 10.1016/j.ahj.2021.10.187. Epub 2021 Oct 29.

BACKGROUND: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited heart muscle disease characterized by fibrofatty replacement of the myocardium and ventricular arrhythmias. Biventricular involvement in ARVC may lead to heart failure. This study aimed to investigate the role of...

Cite
Akdis D, Chen L, Saguner AM, et al. Novel plasma biomarkers predicting biventricular involvement in arrhythmogenic right ventricular cardiomyopathy. Am Heart J. 2021;244:66-76doi: 10.1016/j.ahj.2021.10.187.
Akdis, D., Chen, L., Saguner, A. M., Zhang, N., Gawinecka, J., Saleh, L., von Eckardstein, A., Ren, J., Matter, C. M., Hu, Z., Chen, X., Tanner, F. C., Manka, R., Chen, K., Brunckhorst, C., Song, J., & Duru, F. (2021). Novel plasma biomarkers predicting biventricular involvement in arrhythmogenic right ventricular cardiomyopathy. American heart journal, 24466-76. https://doi.org/10.1016/j.ahj.2021.10.187
Akdis, Deniz, et al. "Novel plasma biomarkers predicting biventricular involvement in arrhythmogenic right ventricular cardiomyopathy." American heart journal vol. 244 (2021): 66-76. doi: https://doi.org/10.1016/j.ahj.2021.10.187
Akdis D, Chen L, Saguner AM, Zhang N, Gawinecka J, Saleh L, von Eckardstein A, Ren J, Matter CM, Hu Z, Chen X, Tanner FC, Manka R, Chen K, Brunckhorst C, Song J, Duru F. Novel plasma biomarkers predicting biventricular involvement in arrhythmogenic right ventricular cardiomyopathy. Am Heart J. 2021 Oct 29;244:66-76. doi: 10.1016/j.ahj.2021.10.187. Epub 2021 Oct 29. PMID: 34756894.
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A Mobile Health Intervention to Increase Physical Activity in Pulmonary Arterial Hypertension.

Chest

Hemnes AR, Silverman-Lloyd LG, Huang S, MacKinnon G, Annis J, Whitmore CS, Mallugari R, Oggs RN, Hekmat R, Shan R, Huynh PP, Yu C, Martin SS, Blaha MJ, Brittain EL.
PMID: 33878341
Chest. 2021 Sep;160(3):1042-1052. doi: 10.1016/j.chest.2021.04.012. Epub 2021 Apr 17.

BACKGROUND: Supervised exercise training improves outcomes in patients with pulmonary arterial hypertension (PAH). The effect of an unsupervised activity intervention has not been tested.RESEARCH QUESTION: Can a text-based mobile health intervention increase step counts in patients with PAH?STUDY DESIGN...

Cite
Hemnes AR, Silverman-Lloyd LG, Huang S, et al. A Mobile Health Intervention to Increase Physical Activity in Pulmonary Arterial Hypertension. Chest. 2021;160(3):1042-1052doi: 10.1016/j.chest.2021.04.012.
Hemnes, A. R., Silverman-Lloyd, L. G., Huang, S., MacKinnon, G., Annis, J., Whitmore, C. S., Mallugari, R., Oggs, R. N., Hekmat, R., Shan, R., Huynh, P. P., Yu, C., Martin, S. S., Blaha, M. J., & Brittain, E. L. (2021). A Mobile Health Intervention to Increase Physical Activity in Pulmonary Arterial Hypertension. Chest, 160(3), 1042-1052. https://doi.org/10.1016/j.chest.2021.04.012
Hemnes, Anna R, et al. "A Mobile Health Intervention to Increase Physical Activity in Pulmonary Arterial Hypertension." Chest vol. 160,3 (2021): 1042-1052. doi: https://doi.org/10.1016/j.chest.2021.04.012
Hemnes AR, Silverman-Lloyd LG, Huang S, MacKinnon G, Annis J, Whitmore CS, Mallugari R, Oggs RN, Hekmat R, Shan R, Huynh PP, Yu C, Martin SS, Blaha MJ, Brittain EL. A Mobile Health Intervention to Increase Physical Activity in Pulmonary Arterial Hypertension. Chest. 2021 Sep;160(3):1042-1052. doi: 10.1016/j.chest.2021.04.012. Epub 2021 Apr 17. PMID: 33878341; PMCID: PMC8449004.
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A Mobile Health Intervention to Increase Physical Activity in Pulmonary Arterial Hypertension.

Chest

Hemnes AR, Silverman-Lloyd LG, Huang S, MacKinnon G, Annis J, Whitmore CS, Mallugari R, Oggs RN, Hekmat R, Shan R, Huynh PP, Yu C, Martin SS, Blaha MJ, Brittain EL.
PMID: 33878341
Chest. 2021 Sep;160(3):1042-1052. doi: 10.1016/j.chest.2021.04.012. Epub 2021 Apr 17.

BACKGROUND: Supervised exercise training improves outcomes in patients with pulmonary arterial hypertension (PAH). The effect of an unsupervised activity intervention has not been tested.RESEARCH QUESTION: Can a text-based mobile health intervention increase step counts in patients with PAH?STUDY DESIGN...

Cite
Hemnes AR, Silverman-Lloyd LG, Huang S, et al. A Mobile Health Intervention to Increase Physical Activity in Pulmonary Arterial Hypertension. Chest. 2021;160(3):1042-1052doi: 10.1016/j.chest.2021.04.012.
Hemnes, A. R., Silverman-Lloyd, L. G., Huang, S., MacKinnon, G., Annis, J., Whitmore, C. S., Mallugari, R., Oggs, R. N., Hekmat, R., Shan, R., Huynh, P. P., Yu, C., Martin, S. S., Blaha, M. J., & Brittain, E. L. (2021). A Mobile Health Intervention to Increase Physical Activity in Pulmonary Arterial Hypertension. Chest, 160(3), 1042-1052. https://doi.org/10.1016/j.chest.2021.04.012
Hemnes, Anna R, et al. "A Mobile Health Intervention to Increase Physical Activity in Pulmonary Arterial Hypertension." Chest vol. 160,3 (2021): 1042-1052. doi: https://doi.org/10.1016/j.chest.2021.04.012
Hemnes AR, Silverman-Lloyd LG, Huang S, MacKinnon G, Annis J, Whitmore CS, Mallugari R, Oggs RN, Hekmat R, Shan R, Huynh PP, Yu C, Martin SS, Blaha MJ, Brittain EL. A Mobile Health Intervention to Increase Physical Activity in Pulmonary Arterial Hypertension. Chest. 2021 Sep;160(3):1042-1052. doi: 10.1016/j.chest.2021.04.012. Epub 2021 Apr 17. PMID: 33878341; PMCID: PMC8449004.
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Diffusion Tensor Imaging Before and 3 Months After Concentrated Exposure Response Prevention in Obsessive-Compulsive Disorder.

Frontiers in psychiatry

Brecke V, Thorsen AL, Ousdal OT, Vriend C, Alnæs D, Hagen K, Hansen B, Kvale G, van den Heuvel OA.
PMID: 34122191
Front Psychiatry. 2021 May 26;12:674020. doi: 10.3389/fpsyt.2021.674020. eCollection 2021.

No abstract available.

Cite
Brecke V, Thorsen AL, Ousdal OT, et al. Diffusion Tensor Imaging Before and 3 Months After Concentrated Exposure Response Prevention in Obsessive-Compulsive Disorder. Front Psychiatry. 2021;12:674020doi: 10.3389/fpsyt.2021.674020.
Brecke, V., Thorsen, A. L., Ousdal, O. T., Vriend, C., Alnæs, D., Hagen, K., Hansen, B., Kvale, G., & van den Heuvel, O. A. (2021). Diffusion Tensor Imaging Before and 3 Months After Concentrated Exposure Response Prevention in Obsessive-Compulsive Disorder. Frontiers in psychiatry, 12674020. https://doi.org/10.3389/fpsyt.2021.674020
Brecke, Vilde, et al. "Diffusion Tensor Imaging Before and 3 Months After Concentrated Exposure Response Prevention in Obsessive-Compulsive Disorder." Frontiers in psychiatry vol. 12 (2021): 674020. doi: https://doi.org/10.3389/fpsyt.2021.674020
Brecke V, Thorsen AL, Ousdal OT, Vriend C, Alnæs D, Hagen K, Hansen B, Kvale G, van den Heuvel OA. Diffusion Tensor Imaging Before and 3 Months After Concentrated Exposure Response Prevention in Obsessive-Compulsive Disorder. Front Psychiatry. 2021 May 26;12:674020. doi: 10.3389/fpsyt.2021.674020. eCollection 2021. PMID: 34122191; PMCID: PMC8187597.
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Event driven 4D STEM acquisition with a Timepix3 detector: Microsecond dwell time and faster scans for high precision and low dose applications.

Ultramicroscopy

Jannis D, Hofer C, Gao C, Xie X, Béché A, Pennycook TJ, Verbeeck J.
PMID: 34837737
Ultramicroscopy. 2021 Nov 13;233:113423. doi: 10.1016/j.ultramic.2021.113423. Epub 2021 Nov 13.

Four dimensional scanning transmission electron microscopy (4D STEM) records the scattering of electrons in a material in great detail. The benefits offered by 4D STEM are substantial, with the wealth of data it provides facilitating for instance high precision,...

Cite
Jannis D, Hofer C, Gao C, et al. Event driven 4D STEM acquisition with a Timepix3 detector: Microsecond dwell time and faster scans for high precision and low dose applications. Ultramicroscopy. 2021;233:113423doi: 10.1016/j.ultramic.2021.113423.
Jannis, D., Hofer, C., Gao, C., Xie, X., Béché, A., Pennycook, T. J., & Verbeeck, J. (2021). Event driven 4D STEM acquisition with a Timepix3 detector: Microsecond dwell time and faster scans for high precision and low dose applications. Ultramicroscopy, 233113423. https://doi.org/10.1016/j.ultramic.2021.113423
Jannis, D, et al. "Event driven 4D STEM acquisition with a Timepix3 detector: Microsecond dwell time and faster scans for high precision and low dose applications." Ultramicroscopy vol. 233 (2021): 113423. doi: https://doi.org/10.1016/j.ultramic.2021.113423
Jannis D, Hofer C, Gao C, Xie X, Béché A, Pennycook TJ, Verbeeck J. Event driven 4D STEM acquisition with a Timepix3 detector: Microsecond dwell time and faster scans for high precision and low dose applications. Ultramicroscopy. 2021 Nov 13;233:113423. doi: 10.1016/j.ultramic.2021.113423. Epub 2021 Nov 13. PMID: 34837737.
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Brain age prediction using fMRI network coupling in youths and associations with psychiatric symptoms.

NeuroImage. Clinical

Lund MJ, Alnæs D, de Lange AG, Andreassen OA, Westlye LT, Kaufmann T.
PMID: 34959052
Neuroimage Clin. 2021 Dec 20;33:102921. doi: 10.1016/j.nicl.2021.102921. Epub 2021 Dec 20.

OBJECTIVE: Magnetic resonance imaging (MRI) has shown that estimated brain age is deviant from chronological age in various common brain disorders. Brain age estimation could be useful for investigating patterns of brain maturation and integrity, aiding to elucidate brain...

Cite
Lund MJ, Alnæs D, de Lange AG, et al. Brain age prediction using fMRI network coupling in youths and associations with psychiatric symptoms. Neuroimage Clin. 2021;33:102921doi: 10.1016/j.nicl.2021.102921.
Lund, M. J., Alnæs, D., de Lange, A. G., Andreassen, O. A., Westlye, L. T., & Kaufmann, T. (2021). Brain age prediction using fMRI network coupling in youths and associations with psychiatric symptoms. NeuroImage. Clinical, 33102921. https://doi.org/10.1016/j.nicl.2021.102921
Lund, Martina J, et al. "Brain age prediction using fMRI network coupling in youths and associations with psychiatric symptoms." NeuroImage. Clinical vol. 33 (2021): 102921. doi: https://doi.org/10.1016/j.nicl.2021.102921
Lund MJ, Alnæs D, de Lange AG, Andreassen OA, Westlye LT, Kaufmann T. Brain age prediction using fMRI network coupling in youths and associations with psychiatric symptoms. Neuroimage Clin. 2021 Dec 20;33:102921. doi: 10.1016/j.nicl.2021.102921. Epub 2021 Dec 20. PMID: 34959052; PMCID: PMC8718718.
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