Publications

ZORA Publication List

Publications

• 2026

  • Rohanian, M., Hüppi, R. M., Nooralahzadeh, F., Dannecker, N., Pauli, Y., Surbeck, W., Sommer, I., Hinzen, W., Langer, N., Krauthammer, M., & Homan, P. (2026). Uncertainty modeling in multimodal speech analysis across the psychosis spectrum Npj Digital Medicine, 9, 218. https://doi.org/10.1038/s41746-025-02309-3

• 2025

  • Engler, I. M., & Langer, N. (2025). Toward dimensional psychiatry in youth: A data-driven analysis of transdiagnostic internalizing symptoms in childhood and adolescence PLOS Mental Health, 2, e0000509. https://doi.org/10.1371/journal.pmen.0000509
  • Seelemeyer, H., Gurr, C., Leyhausen, J., Berg, L. M., Pretzsch, C. M., Schäfer, T., Hermila, B., Freitag, C. M., Loth, E., Oakley, B., Mason, L., Buitelaar, J. K., Beckmann, C. F., Floris, D. L., Charman, T., Banaschewski, T., Jones, E. J. H., Bourgeron, T., Ahmad, J., … et al. (2025). Decomposing the Brain in Autism: Linking Behavioral Domains to Neuroanatomical Variation and Genomic Underpinnings Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 10, 1067–1077. https://doi.org/10.1016/j.bpsc.2024.12.003
  • Bähner, F., Popov, T., Boehme, N., Hermann, S., Merten, T., Zingone, H., Koppe, G., Meyer-Lindenberg, A., Toutounji, H., & Durstewitz, D. (2025). Abstract rule learning promotes cognitive flexibility in complex environments across species Nature Communications, 16, 5396. https://doi.org/10.1038/s41467-025-60943-7
  • Dziemian, S., Bujia, G., Prasse, P., Barańczuk-Turska, Z., Jäger, L. A., Kamienkowski, J. E., & Langer, N. (2025). Saliency Models Reveal Reduced Top-Down Attention in Attention-Deficit/Hyperactivity Disorder: A Naturalistic Eye-Tracking Study Journal of the American Academy of Child and Adolescent Psychiatry, 3, 192–204. https://doi.org/10.1016/j.jaacop.2024.03.001
  • Hoogen, H., Hebling Vieira, B., & Langer, N. (2025). Maintaining brain health: the impact of physical activity and fitness on the aging brain - A UK Biobank Study European Journal of Neuroscience, 61(8), 1–16. https://doi.org/10.1111/ejn.70085
  • Wybitul, M., Langer, N., Hock, C., Gietl, A., & Treyer, V. (2025). Voxel-wise insights into early Alzheimer’s disease pathology progression: the association with APOE and memory decline. GeroScience, 47, 5825–5842. https://doi.org/10.1007/s11357-025-01610-z
  • Sarti, P., Surbeck, W., Cecere, G., Dannecker, N., Horisberger, R., Kallen, N., Omlor, W., Steiner, A., Palpella, D., Brandenberg, M., Edkins, V., Langer, N., Blom, J. M. C., & Homan, P. (2025). An exploratory network analysis to investigate schizotypy’s structure using the ‘Multidimensional Schizotypy Scale’ and ‘Oxford-Liverpool Inventory’ in a healthy cohort Schizophrenia, 11, 34. https://doi.org/10.1038/s41537-025-00584-3
  • Floris, D. L., Llera, A., Zabihi, M., Moessnang, C., Jones, E. J. H., Mason, L., Haartsen, R., Holz, N. E., Mei, T., Elleaume, C., Vieira, B. H., Pretzsch, C. M., Forde, N. J., Baumeister, S., Dell’Acqua, F., Durston, S., Banaschewski, T., Ecker, C., Holt, R. J., … et al. (2025). A multimodal neural signature of face processing in autism within the fusiform gyrus Nature Mental Health, 3, 31–45. https://doi.org/10.1038/s44220-024-00349-4
  • Strzelczyk, D. (2025). Neurophysiological Markers of Successful Learning in Younger and Older Adults (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-277550
  • Heitz, J., Schneider, G., & Langer, N. (2025). Linguistic Features Extracted by GPT-4 Improve Alzheimer’s Disease Detection based on Spontaneous Speech (O. Rambow, L. Wanner, M. Apidianaki, H. Al-Khalifa, B. Di Eugenio, & S. Schockaert, Eds.; pp. 1850–1864). Association for Computational Linguistics. https://aclanthology.org/2025.coling-main.126/

• 2024

  • Strzelczyk, D., & Langer, N. (2024). Pre-stimulus activity mediates event-related theta synchronization and alpha desynchronization during memory formation in healthy aging Imaging Neuroscience, 2, 1–22. https://doi.org/10.1162/imag_a_00398
  • Pretzsch, C. M., Arenella, M., Lerch, J. P., Lombardo, M. V., Beckmann, C., Schaefer, T., Leyhausen, J., Gurr, C., Bletsch, A., Berg, L. M., Seelemeyer, H., Floris, D. L., Oakley, B., Loth, E., Bourgeron, T., Charman, T., Buitelaar, J., McAlonan, G., Murphy, D., … EU-AIMS LEAP Group. (2024). Patterns of Brain Maturation in Autism and Their Molecular Associations JAMA Psychiatry, 81, 1253–1264. https://doi.org/10.1001/jamapsychiatry.2024.3194
  • Langer, N., Weber, M., Hebling Vieira, B., Strzelczyk, D., Wolf, L., Pedroni, A., Heitz, J., Müller, S., Schultheiss, C., Troendle, M., Lasprilla, J. C. A., Rivera, D., Scarpina, F., Zhao, Q., Leuthold, R., Wehrle, F., Jenni, O., Brugger, P., Zaehle, T., … Zhang, C. (2024). A deep learning approach for automated scoring of the Rey–Osterrieth complex figure ELife, 13, RP96017. https://doi.org/10.7554/elife.96017.3
  • Gjølbye, A., Skerath, L., Lehn-Schiøler, W., Langer, N., & Hansen, L. K. (2024). Speed: Scalable Preprocessing of EEG Data for Self-Supervised Learning Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 10734749. https://doi.org/10.1109/mlsp58920.2024.10734749
  • Chenot, Q., Hamery, C., Truninger, M., Langer, N., De boissezon, X., & Scannella, S. (2024). Investigating the relationship between resting-state EEG microstates and executive functions: A null finding Cortex, 178, 1–17. https://doi.org/10.1016/j.cortex.2024.05.019
  • Hansen, A., Strzelczyk, D., Troendle, M., Langer, N., & Popov, T. (2024). Modulations of posterior alpha power during working memory co-vary with task-dependent eye movement patterns https://doi.org/10.22541/au.172466871.17083913/v1
  • Mushtaq, F., Welke, D., Gallagher, A., Pavlov, Y. G., Kouara, L., Bosch-Bayard, J., van den Bosch, J. J. F., Arvaneh, M., Bland, A. R., Chaumon, M., Borck, C., He, X., Luck, S. J., Machizawa, M. G., Pernet, C., Puce, A., Segalowitz, S. J., Rogers, C., Awais, M., … et al. (2024). One hundred years of EEG for brain and behaviour research Nature Human Behaviour, 8, 1437–1443. https://doi.org/10.1038/s41562-024-01941-5
  • Tröndle, M., & Langer, N. (2024). Decomposing neurophysiological underpinnings of age-related decline in visual working memory Neurobiology of Aging, 139, 30–43. https://doi.org/10.1016/j.neurobiolaging.2024.03.004
  • Guha, A., Popov, T., Bartholomew, M. E., Reed, A. C., Diehl, C. K., Subotnik, K. L., Ventura, J., Nuechterlein, K. H., Miller, G. A., & Yee, C. M. (2024). Task‐based default mode network connectivity predicts cognitive impairment and negative symptoms in first‐episode schizophrenia Psychophysiology, 61(10), 1–16. https://doi.org/10.1111/psyp.14627
  • Gehmacher, Q., Schubert, J., Schmidt, F., Hartmann, T., Reisinger, P., Rösch, S., Schwarz, K., Popov, T., Chait, M., & Weisz, N. (2024). Eye movements track prioritized auditory features in selective attention to natural speech Nature Communications, 15, 3692. https://doi.org/10.1038/s41467-024-48126-2
  • Heitz, J., Schneider, G., & Langer, N. (2024). The Influence of Automatic Speech Recognition on Linguistic Features and Automatic Alzheimer’s Disease Detection from Spontaneous Speech In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), Proceedings of the International Conference on Computational Linguistics, Language Resources and Evaluation (pp. 15955–15969). Association for Computational Linguistics. https://aclanthology.org/2024.lrec-main.1386/
  • Sargent, K. S., Martinez, E. L., Reed, A. C., Guha, A., Bartholomew, M. E., Diehl, C. K., Chang, C. S., Salama, S., Popov, T., Thayer, J. F., Miller, G. A., & Yee, C. M. (2024). Oscillatory coupling between neural and cardiac rhythms Psychological Science, 35, 517–528. https://doi.org/10.1177/09567976241235932
  • Wybitul, M., Buchmann, A., Langer, N., Hock, C., Treyer, V., & Gietl, A. (2024). Trajectories of amyloid beta accumulation - Unveiling the relationship with APOE genotype and cognitive decline Neurobiology of Aging, 139, 44–53. https://doi.org/10.1016/j.neurobiolaging.2024.03.007
  • Leyhausen, J., Schäfer, T., Gurr, C., Berg, L. M., Seelemeyer, H., Pretzsch, C. M., Loth, E., Oakley, B., Buitelaar, J. K., Beckmann, C. F., Floris, D. L., Charman, T., Bourgeron, T., Banaschewski, T., Jones, E. J. H., Tillmann, J., Chatham, C., Murphy, D. G., Ecker, C., & EU-AIMS LEAP Group. (2024). Differences in Intrinsic Gray Matter Connectivity and Their Genomic Underpinnings in Autism Spectrum Disorder Biological Psychiatry, 95, 175–186. https://doi.org/10.1016/j.biopsych.2023.06.010

• 2023

  • Peterson, M., Prigge, M. B. D., Floris, D. L., Bigler, E. D., Zielinski, B., King, J. B., Lange, N., Alexander, A. L., Lainhart, J. E., & Nielsen, J. A. (2023). Reduced Lateralization of Multiple Functional Brain Networks in Autistic Males (No. 571928; BioRxiv). https://doi.org/10.1101/2023.12.15.571928
  • Peterson, M., Braga, R. M., Floris, D. L., & Nielsen, J. A. (2023). Evidence for a Compensatory Relationship between Left- and Right-Lateralized Brain Networks (No. 570817; BioRxiv). https://doi.org/10.1101/2023.12.08.570817
  • Wybitul, M., Langer, N., Hock, C., Gietl, A. F., & Treyer, V. (2023). The influence of the ApoE genotype on regional amyloid beta progression and interregional correlations in nondemented elderly Alzheimer’s & Dementia, 19, e072620. https://doi.org/10.1002/alz.072620
  • Mei, T., Forde, N. J., Floris, D. L., et al, EU-AIMS LEAP group, & Brandeis, D. (2023). Autism Is Associated With Interindividual Variations of Gray and White Matter Morphology Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 8, 1084–1093. https://doi.org/10.1016/j.bpsc.2022.08.011
  • Guha, A., Popov, T., Bartholomew, M., Reed, A., Diehl, C., Subotnik, K., Ventura, J., Nuechterlein, K., Miller, G., & Yee, C. (2023). Task-based default mode network connectivity predicts cognitive impairment and negative symptoms in first-episode schizophrenia (No. 45730809; Authorea). https://doi.org/10.22541/au.169808404.45730809/v1
  • Meijer, J., Vieira, B. H., Elleaume, C., Baranczuk-Turska, Z., Langer, N., & Floris, D. L. (2023). Towards Understanding Autism Heterogeneity: Identifying Clinical Subgroups and Neuroanatomical Deviations (No. 23297299; MedRxiv). https://doi.org/10.1101/2023.10.21.23297299
  • Hu, S., Ruan, J., Langer, N., Bosch-Bayard, J., Lv, Z., Yao, D., & Valdes-Sosa, P. (2023). Spectral homogeneity cross frequencies can be a quality metric for the large-scale resting EEG preprocessing (2310.11994; ArXiv.Org). https://doi.org/10.48550/arXiv.2310.11994
  • Berg, L. M., Gurr, C., Leyhausen, J., Seelemeyer, H., Bletsch, A., Schaefer, T., Pretzsch, C. M., Oakley, B., Loth, E., Floris, D. L., Buitelaar, J. K., Beckmann, C. F., Banaschewski, T., Charman, T., Jones, E. J. H., Tillmann, J., Chatham, C. H., Bourgeron, T., EU-AIMS LEAP group, … Ecker, C. (2023). The neuroanatomical substrates of autism and ADHD and their link to putative genomic underpinnings Molecular Autism, 14, 36. https://doi.org/10.1186/s13229-023-00568-z
  • Strzelczyk, D., Kelly, S. P., & Langer, N. (2023). Neurophysiological markers of successful learning in healthy aging GeroScience, 45, 2873–2896. https://doi.org/10.1007/s11357-023-00811-8
  • Wan, B., Hong, S.-J., Bethlehem, R. A. I., Floris, D. L., Bernhardt, B. C., & Valk, S. L. (2023). Diverging asymmetry of intrinsic functional organization in autism Molecular Psychiatry, 28, 4331–4341. https://doi.org/10.1038/s41380-023-02220-x
  • Holz, N. E., Zabihi, M., Kia, S. M., Monninger, M., Aggensteiner, P.-M., Siehl, S., Floris, D. L., Bokde, A. L. W., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Brühl, R., Martinot, J.-L., Martinot, M.-L. P., Orfanos, D. P., Paus, T., … et al. (2023). A stable and replicable neural signature of lifespan adversity in the adult brain Nature Neuroscience, 26, 1603–1612. https://doi.org/10.1038/s41593-023-01410-8
  • Oblong, L. M., Llera, A., Mei, T., Haak, K., Isakoglou, C., Floris, D. L., Durston, S., Moessnang, C., Banaschewski, T., Baron-Cohen, S., Loth, E., Dell’Acqua, F., Charman, T., Murphy, D. G. M., Ecker, C., Buitelaar, J. K., Beckmann, C. F., EU-AIMS LEAP Group, Forde, N. J., … Brandeis, D. (2023). Linking functional and structural brain organisation with behaviour in autism: a multimodal EU-AIMS Longitudinal European Autism Project (LEAP) study Molecular Autism, 14, 32. https://doi.org/10.1186/s13229-023-00564-3
  • Strzelczyk, D., Clayson, P. E., Sigurdardottir, H. M., Mushtaq, F., Pavlov, Y. G., Devillez, H., Lukashevich, A., Rocha, H. A., Chung, Y. H., Ortego, K. M., Störmer, V. S., García Alanis, J. C., Löffler, C., Schubert, A.-L., Biel, A. L., Tretow, A., Xu, W., Hamalainen, J., Lu, Z., … et al. (2023). Contralateral delay activity as a marker of visual working memory capacity: a multi-site registered replication (shdea; PsyArXiv Preprints). https://doi.org/10.31234/osf.io/shdea
  • Nebe, S., Reutter, M., Baker, D. H., Bölte, J., Domes, G., Gamer, M., Gärtner, A., Gießing, C., Gurr, C., Hilger, K., Jawinski, P., Kulke, L., Lischke, A., Markett, S., Meier, M., Merz, C. J., Popov, T., Puhlmann, L. M. C., Quintana, D. S., … Feld, G. B. (2023). Enhancing precision in human neuroscience ELife, 12, 85980. https://doi.org/10.7554/elife.85980
  • Popov, T., & Staudigl, T. (2023). Cortico-ocular coupling in the service of episodic memory formation Progress in Neurobiology, 227, 102476. https://doi.org/10.1016/j.pneurobio.2023.102476
  • Isakoglou, C., Haak, K. V., Wolfers, T., Floris, D. L., Llera, A., Oldehinkel, M., Forde, N. J., Oakley, B. F. M., Tillmann, J., Holt, R. J., Moessnang, C., Loth, E., Bourgeron, T., Baron-Cohen, S., Charman, T., Banaschewski, T., Murphy, D. G. M., Buitelaar, J. K., Marquand, A. F., & Beckmann, C. F. (2023). Fine-grained topographic organization within somatosensory cortex during resting-state and emotional face-matching task and its association with ASD traits Translational Psychiatry, 13, 270. https://doi.org/10.1038/s41398-023-02559-3
  • Popov, T., Tröndle, M., Barańczuk-Turska, Z., Pfeiffer, C., Haufe, S., & Langer, N. (2023). Test-retest reliability of resting-state EEG in young and older adults Psychophysiology, 60, e14268. https://doi.org/10.1111/psyp.14268
  • Holz, N. E., Floris, D. L., Llera, A., Aggensteiner, P. M., et al, Walitza, S., & Brandeis, D. (2023). Age-related brain deviations and aggression Psychological Medicine, 53, 4012–4021. https://doi.org/10.1017/S003329172200068X
  • Ilioska, I., Oldehinkel, M., Llera, A., Chopra, S., Looden, T., Chauvin, R., van Rooij, D., Floris, D. L., Tillmann, J., Moessnang, C., Banaschewski, T., Holt, R. J., Loth, E., Charman, T., Murphy, D. G. M., Ecker, C., Mennes, M., Beckmann, C. F., Fornito, A., & Buitelaar, J. K. (2023). Connectome-wide Mega-analysis Reveals Robust Patterns of Atypical Functional Connectivity in Autism Biological Psychiatry, 94, 29–39. https://doi.org/10.1016/j.biopsych.2022.12.018
  • Hu, S., Ruan, J., Zhang, Z., Langer, N., Bosch-Bayard, J., Yao, D., & Valdes-Sosa, P. (2023). The impacts of preprocessed EEG quality on the fidelity of spectra and functional connectivity International Journal of Psychophysiology, 188, 85–86. https://doi.org/10.1016/j.ijpsycho.2023.05.220
  • Elandaloussi, Y., Floris, D. L., Coupé, P., Duchesnay, E., Mihailov, A., Grigis, A., Bègue, I., Victor, J., Frouin, V., Leboyer, M., Houenou, J., & Laidi, C. (2023). Understanding the relationship between cerebellar structure and social abilities Molecular Autism, 14, 18. https://doi.org/10.1186/s13229-023-00551-8
  • Pretzsch, C. M., Floris, D. L., Schäfer, T., Bletsch, A., Gurr, C., Lombardo, M. V., Chatham, C. H., Tillmann, J., Charman, T., Arenella, M., Jones, E., Ambrosino, S., Bourgeron, T., Dumas, G., Cliquet, F., Leblond, C. S., Loth, E., Oakley, B., Buitelaar, J. K., … Ecker, C. (2023). Cross-sectional and longitudinal neuroanatomical profiles of distinct clinical (adaptive) outcomes in autism Molecular Psychiatry, 28, 2158–2169. https://doi.org/10.1038/s41380-023-02016-z
  • Wenger, N., Plomecka, M. B., Kaufmann, M., Kastrati, A., Wattenhofer, R., & Langer, N. (2023). An Interpretable Attention-based Method for Gaze Estimation Using Electroencephalography (No. qmf6p; PsyArXiv Preprints). https://doi.org/10.31234/osf.io/qmf6p
  • Tröndle, M., Popov, T., Pedroni, A., Pfeiffer, C., Barańczuk-Turska, Z., & Langer, N. (2023). Decomposing age effects in EEG alpha power Cortex, 161, 116–144. https://doi.org/10.1016/j.cortex.2023.02.002
  • Popov, T., Gips, B., Weisz, N., & Jensen, O. A. A. (2023). Brain areas associated with visual spatial attention display topographic organization during auditory spatial attention Cerebral Cortex, 33, 3478–3489. https://doi.org/10.1093/cercor/bhac285
  • Baumeister, S., Moessnang, C., Bast, N., Hohmann, S., Aggensteiner, P., Kaiser, A., Tillmann, J., Goyard, D., Charman, T., Ambrosino, S., Baron-Cohen, S., Beckmann, C., Bölte, S., Bourgeron, T., Rausch, A., Crawley, D., Dell’Acqua, F., Dumas, G., Durston, S., … et al. (2023). Processing of social and monetary rewards in autism spectrum disorders British Journal of Psychiatry, 222, 100–111. https://doi.org/10.1192/bjp.2022.157
  • Cortese, S., Solmi, M., Michelini, G., Bellato, A., Blanner, C., Canozzi, A., Eudave, L., Farhat, L. C., Højlund, M., Köhler‐Forsberg, O., Leffa, D. T., Rohde, C., de Pablo, G. S., Vita, G., Wesselhoeft, R., Martin, J., Baumeister, S., Bozhilova, N. S., Carlisi, C. O., … Correll, C. U. (2023). Candidate diagnostic biomarkers for neurodevelopmental disorders in children and adolescents: a systematic review World Psychiatry, 22, 129–149. https://doi.org/10.1002/wps.21037
  • Pan, Y., Popov, T., Frisson, S., & Jensen, O. (2023). Saccades are locked to the phase of alpha oscillations during natural reading PLoS Biology, 21, e3001968. https://doi.org/10.1371/journal.pbio.3001968
  • Hollenstein, N., Tröndle, M., Plomecka, M., Kiegeland, S., Özyurt, Y., Jäger, L. A., & Langer, N. (2023). The ZuCo benchmark on cross-subject reading task classification with EEG and eye-tracking data. Frontiers in Psychology, 13, 1028824. https://doi.org/10.3389/fpsyg.2022.1028824
  • Kastrati, A., Płomecka, M. B., Küchler, J., Langer, N., & Wattenhofer, R. (2023). Electrode clustering and bandpass analysis of eeg data for gaze estimation Proceedings of Machine Learning Research, 210, 50–65. https://proceedings.mlr.press/v210/kastrati23a/kastrati23a.pdf
  • Dziemian, S. (2023). Multi-Modal Approach Towards the Understanding of the Pathophysiology of ADHD (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-231729
  • Tröndle, M. (2023). Decomposing Lifespan Changes of EEG Alpha Power: Insights from Aperiodic and Periodic Signal Components and their Functional Significance (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-236252
  • Floris, D. L., Peng, H., Warrier, V., Lombardo, M. V., Pretzsch, C. M., Moreau, C., Tsompanidis, A., Gong, W., Mennes, M., Llera, A., van Rooij, D., Oldehinkel, M., Forde, N. J., Charman, T., Tillmann, J., Banaschewski, T., Moessnang, C., Durston, S., Holt, R. J., … et al. (2023). The Link Between Autism and Sex-Related Neuroanatomy, and Associated Cognition and Gene Expression American Journal of Psychiatry, 180, 50–64. https://doi.org/10.1176/appi.ajp.20220194
  • MacDonald, D. N., Bedford, S. A., Olafson, E., Park, M. T. M., Devenyi, G. A., Tullo, S., Patel, R., Anagnostou, E., Baron-Cohen, S., Bullmore, E. T., Chura, L. R., Craig, M. C., Ecker, C., Floris, D. L., Holt, R. J., Lenroot, R., Lerch, J. P., Lombardo, M. V., Murphy, D. G. M., … Chakravarty, M. M. (2023). Characterizing Subcortical Structural Heterogeneity in Autism (No. 554882; BioRxiv). https://doi.org/10.1101/2023.08.28.554882

• 2022

  • Looden, T., Floris, D. L., Llera, A., Chauvin, R. J., Charman, T., Banaschewski, T., Murphy, D., Marquand, A. F., Buitelaar, J. K., Beckmann, C. F., Brandeis, D., & et al. (2022). Patterns of connectome variability in autism across five functional activation tasks: findings from the LEAP project Molecular Autism, 13, 53. https://doi.org/10.1186/s13229-022-00529-y
  • Plomecka, M., Kastrati, A., Wolf, L., Wattenhofer, R., & Langer, N. (2022). Predicting Gaze Position with Deep Learning of Electroencephalography Data Journal of Vision, 22, 4010. https://doi.org/10.1167/jov.22.14.4010
  • Bähner, F., Popov, T., Hermann, S., Boehme, N., Merten, T., Zingone, H., Koppe, G., Meyer-Lindenberg, A., Toutounji, H., & Durstewitz, D. (2022). Species-conserved mechanisms of cognitive flexibility in complex environments (No. 516439; BioRxiv). https://doi.org/10.1101/2022.11.14.516439
  • Dziemian, S., Barańczuk-Turska, Z., & Langer, N. (2022). Association between attention-deficit/hyperactivity disorder symptom severity and white matter integrity moderated by in-scanner head motion Translational Psychiatry, 12, 434. https://doi.org/10.1038/s41398-022-02117-3
  • Hebling Vieira, B., Liem, F., Dadi, K., Engemann, D. A., Gramfort, A., Bellec, P., Craddock, R. C., Damoiseaux, J. S., Steele, C. J., Yarkoni, T., Langer, N., Margulies, D. S., & Varoquaux, G. (2022). Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological aging Neurobiology of Aging, 118, 55–65. https://doi.org/10.1016/j.neurobiolaging.2022.06.008
  • Langer, N., Plomecka, M. B., Tröndle, M., Negi, A., Popov, T., Milham, M., & Haufe, S. (2022). A benchmark for prediction of psychiatric multimorbidity from resting EEG data in a large pediatric sample NeuroImage, 258, 119348. https://doi.org/10.1016/j.neuroimage.2022.119348
  • Tröndle, M., Popov, T., Dziemian, S., & Langer, N. (2022). Decomposing the role of alpha oscillations during brain maturation ELife, 11, 77571. https://doi.org/10.7554/elife.77571
  • Li, M., Wang, Y., Lopez-Naranjo, C., Hu, S., Reyes, R. C. G., Paz-Linares, D., Areces-Gonzalez, A., Hamid, A. I. A., Evans, A. C., Savostyanov, A. N., Calzada-Reyes, A., Villringer, A., Tobon-Quintero, C. A., Garcia-Agustin, D., Yao, D., Dong, L., Aubert-Vazquez, E., Reza, F., Razzaq, F. A., … et al. (2022). Harmonized-Multinational qEEG norms (HarMNqEEG) NeuroImage, 256, 119190. https://doi.org/10.1016/j.neuroimage.2022.119190
  • Deng, S., Prasse, P., Reich, D. R., Dziemian, S., Stegenwallner-Schütz, M., Krakowczyk, D. G., Makowski, S., Langer, N., Scheffer, T., & Jäger, L. A. (2022). Detection of ADHD based on eye movements during natural viewing (2207.01377; ArXiv.Org). https://doi.org/10.48550/arXiv.2207.01377
  • Hebling Vieira, B., Pamplona, G. S. P., Fachinello, K., Kamensek Silva, A., Foss, M. P., & Salmon, C. E. G. (2022). On the prediction of human intelligence from neuroimaging: A systematic review of methods and reporting Intelligence, 93, 101654. https://doi.org/10.1016/j.intell.2022.101654
  • Langer, N., Weber, M., Hebling Vieira, B., Strzelczyk, D., Wolf, L., Pedroni, A., Heitz, J., Müller, S., Schultheiss, C., Tröndle, M., Arango Lasprilla, J. C., Rivera, D., Scarpina, F., Zhao, Q., Leuthold, R., Wehrle, F., Jenni, O. G., Brugger, P., Zaehle, T., … Zhang, C. (2022). Automating clinical assessments of memory deficits: Deep Learning based scoring of the Rey-Osterrieth Complex Figure (No. 496291; BioRxiv). https://doi.org/10.1101/2022.06.15.496291
  • Wolf, L., Kastrati, A., Płomecka, M. B., Li, J.-M., Klebe, D., Veicht, A., Wattenhofer, R., & Langer, N. (2022). A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications (2206.08672; ArXiv.Org). https://doi.org/10.48550/arXiv.2206.08672
  • Popov, T., Rockstroh, B., & Miller, G. A. (2022). Oscillatory connectivity as a mechanism of auditory sensory gating and its disruption in schizophrenia Psychophysiology, 59, e13770. https://doi.org/10.1111/psyp.13770
  • Hollenstein, N., Tröndle, M., Plomecka, M., Kiegeland, S., Özyurt, Y., Jäger, L. A., & Langer, N. (2022). The ZuCo Benchmark on Cross-Subject Reading Task Classification with EEG and Eye-Tracking Data (No. 483414; BioRxiv). https://doi.org/10.1101/2022.03.08.483414

• 2021

  • Oala, L., Murchison, A. G., Balachandran, P., Choudhary, S., Fehr, J., et al, Meyer, M., Bielik, P., & Langer, N. (2021). Machine Learning for Health: Algorithm Auditing & Quality Control Journal of Medical Systems, 45, 105. https://doi.org/10.1007/s10916-021-01783-y
  • Pavlov, Y. G., Adamian, N., Appelhoff, S., Arvaneh, M., et al, & Langer, N. (2021). #EEGManyLabs: Investigating the replicability of influential EEG experiments Cortex, 144, 213–229. https://doi.org/10.1016/j.cortex.2021.03.013
  • Popov, T., Langer, N., Gips, B., Weisz, N., & Jensen, O. (2021). Sound-location specific alpha power modulation in the visual cortex in absence of visual input (No. 435371; BioRxiv). https://doi.org/10.1101/2021.03.15.435371
  • Floris, D. L., Wolfers, T., Zabihi, M., Holz, N. E., Zwiers, M. P., Charman, T., Tillmann, J., Ecker, C., Dell’Acqua, F., Banaschewski, T., Moessnang, C., Baron-Cohen, S., Holt, R., Durston, S., Loth, E., Murphy, D. G. M., Marquand, A., Buitelaar, J. K., Beckmann, C. F., & EU-AIMS Longitudinal European Autism Project Group. (2021). Atypical Brain Asymmetry in Autism-A Candidate for Clinically Meaningful Stratification Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 6, 802–812. https://doi.org/10.1016/j.bpsc.2020.08.008
  • Kastrati, A., Plomecka, M. B., Wattenhofer, R., & Langer, N. (2021). Using Deep Learning to Classify Saccade Direction from Brain Activity 28. https://doi.org/10.1145/3448018.3458014
  • Popov, T., Tröndle, M., Barańczuk-Turska, Z., Pfeiffer, C., Haufe, S., & Langer, N. (2021). Test–retest reliability of resting-state EEG in young and elderly adults https://osf.io/9bfrh/
  • Dziemian, S., Appenzeller, S., Von Bastian, C. C., Jäncke, L., & Langer, N. (2021). Working Memory Training Effects on White Matter Integrity in Young and Older Adults Frontiers in Human Neuroscience, 15, 605213. https://doi.org/10.3389/fnhum.2021.605213
  • Hollenstein, N., Renggli, C., Glaus, B., Barrett, M., Troendle, M., Langer, N., & Zhang, C. (2021). Decoding EEG Brain Activity for Multi-Modal Natural Language Processing Frontiers in Human Neuroscience, 15, 659410. https://doi.org/10.3389/fnhum.2021.659410

• 2020

  • Pfeiffer, C., Hollenstein, N., Zhang, C., & Langer, N. (2020). Neural dynamics of sentiment processing during naturalistic sentence reading NeuroImage, 218, 116934. https://doi.org/10.1016/j.neuroimage.2020.116934
  • Płomecka, M. B., Barańczuk-Turska, Z., Pfeiffer, C., & Langer, N. (2020). Aging effects and test-retest reliability of inhibitory control for saccadic eye movements ENeuro, 7, ENEURO.0459-19.2020. https://doi.org/10.1523/ENEURO.0459-19.2020
  • Pamplona, G. S. P., Vieira, B. H., Scharnowski, F., & Salmon, C. E. G. (2020). Personode: A Toolbox for ICA Map Classification and Individualized ROI Definition Neuroinformatics, 18, 339–349. https://doi.org/10.1007/s12021-019-09449-4
  • Viola, T. W., Sanvicente-Vieira, B., Kluwe-Schiavon, B., Rothmann, L. M., Mélo-Pereira, J. V. N. E., Bicca, C., Ottolia Niederauer, J. P., Schmitz, J., & Grassi-Oliveira, R. (2020). Association Between Recent Cannabis Consumption and Withdrawal-Related Symptoms During Early Abstinence Among Females With Smoked Cocaine Use Disorder Journal of Addiction Medicine, 14, e37–e43. https://doi.org/10.1097/ADM.0000000000000599

• 2019

  • Pedroni, A., Bahreini, A., & Langer, N. (2019). Automagic: Standardized preprocessing of big EEG data NeuroImage, 200, 460–473. https://doi.org/10.1016/j.neuroimage.2019.06.046
  • Viola, T. W., Niederauer, J. P. O., Kluwe-Schiavon, B., Sanvicente-Vieira, B., & Grassi-Oliveira, R. (2019). Cocaine use disorder in females is associated with altered social decision-making: a study with the prisoner’s dilemma and the ultimatum game. BMC Psychiatry, 19, 211. https://doi.org/10.1186/s12888-019-2198-0
  • Langer, N., Benjamin, C., Becker, B. L. C., & Gaab, N. (2019). Comorbidity of reading disabilities and ADHD: Structural and functional brain characteristics Human Brain Mapping, 40, 2677–2698. https://doi.org/10.1002/hbm.24552
  • Aschwanden, D., Langer, N., & Allemand, M. (2019). Eye Tracking in the Wild: Piloting a Real-Life Assessment Paradigm for Older Adults Journal of Eye Movement Research, 12, 1–10. https://doi.org/10.16910/jemr.12.1.4

• 2018

  • Hollenstein, N., Rotsztejn, J., Troendle, M., Pedroni, A., Zhang, C., & Langer, N. (2018). ZuCo, a simultaneous EEG and eye-tracking resource for natural sentence reading Scientific Data, 5, 180291. https://doi.org/10.1038/sdata.2018.291
  • Pedroni, A., Bahreini, A., & Langer, N. (2018). AUTOMAGIC: Standardized Preprocessing of Big EEG Data (No. 460469; BioRxiv). https://doi.org/10.1101/460469
  • Petroni, A., Cohen, S. S., Ai, L., Langer, N., Henin, S., Vanderwal, T., Milham, M. P., & Parra, L. C. (2018). The Variability of Neural Responses to Naturalistic Videos Change with Age and Sex ENeuro, 5, e0244-17.2017. https://doi.org/10.1523/ENEURO.0244-17.2017
  • Poulsen, A. T., Pedroni, A., Langer, N., & Hansen, L. K. (2018). Microstate EEGlab toolbox: An introductory guide (No. 289850; BioRxiv). https://doi.org/10.1101/289850

• 2017

  • Langer, N., Ho, E. J., Alexander, L. M., Xu, H. Y., Jozanovic, R. K., Henin, S., Petroni, A., Cohen, S., Marcelle, E. T., Parra, L. C., Milham, M. P., & Kelly, S. P. (2017). A resource for assessing information processing in the developing brain using EEG and eye tracking Scientific Data, 4, 170040. https://doi.org/10.1038/sdata.2017.40
  • Sanvicente-Vieira, B., Kluwe-Schiavon, B., Corcoran, R., & Grassi-Oliveira, R. (2017). Theory of Mind Impairments in Women With Cocaine Addiction Journal of Studies on Alcohol and Drugs, 78, 258–267. https://doi.org/10.15288/jsad.2017.78.258
  • Langer, N., Peysakhovich, B., Zuk, J., Drottar, M., Sliva, D. D., Smith, S., Becker, B. L. C., Grant, P. E., & Gaab, N. (2017). White Matter Alterations in Infants at Risk for Developmental Dyslexia Cerebral Cortex, 27, 1027–1036. https://doi.org/10.1093/cercor/bhv281
  • Alexander, L. M., Escalera, J., Ai, L., Andreotti, C., Febre, K., Mangone, A., Vega Potler, N., Langer, N., Alexander, A., Kovacs, M., Litke, S., O’Hagan, B., Andersen, J., Bronstein, B., Bui, A., Bushey, M., Butler, H., Castagna, V., Camacho, N., … Gregory, C. (2017). The Healthy Brain Network Biobank: An open resource for transdiagnostic research in pediatric mental health and learning disorders An Open Resource for Transdiagnostic Research in Pediatric Mental Health and Learning Disorders. https://doi.org/10.1101/149369
  • Langer, N., Ho, E. J., Pedroni, A., Alexander, L. M., Marcelle, E. T., Schuster, K., Milham, M. P., & Kelly, S. P. (2017). A multi-modal approach to decomposing standard neuropsychological test performance: Symbol Search (No. 200998; BioRxiv). https://doi.org/10.1101/200998

• 2016

  • Langer, N., Ho, E. J., Alexander, L. M., Xu, H. Y., Jozanovic, R. K., Henin, S., Cohen, S., Marcelle, E. T., Parra, L. C., Milham, M. P., & Kelly, S. P. (2016). A ressource for assessing information processing in the developing brain using EEG and eye tracking (No. 092213; BioRxiv). https://doi.org/10.1101/092213
  • Petroni, A., Cohen, S., Langer, N., Henin, S., Vanderwal, T., Milham, M. P., & Parra, L. C. (2016). Age and sex affect intersubject correlation of EEG throught development (No. 089060; BioRxiv). https://doi.org/10.1101/089060
  • Ho, E. J., Alexander, L., Langer, N., Koyama, M. S., Xu, H. Y., Jozanovic, R. K., Russo, G., Busman, R., Milham, M. P., & Kelly, S. P. (2016). Novel Techniques For Elucidating Neurophysiological Mechanisms of Selective Mutism Journal of the American Academy of Child and Adolescent Psychiatry, 55, S231. https://doi.org/10.1016/j.jaac.2016.09.401

• 2015

  • Hänggi, J., Langer, N., Lutz, K., Birrer, K., Mérillat, S., & Jäncke, L. (2015). Structural brain correlates associated with professional handball playing PLoS ONE, 10, e0124222. https://doi.org/10.1371/journal.pone.0124222
  • Soeiro-de-Souza, M. G., Henning, A., Machado-Vieira, R., Moreno, R. A., Pastorello, B. F., da Costa Leite, C., Vallada, H., & Otaduy, M. C. G. (2015). Anterior cingulate Glutamate–Glutamine cycle metabolites are altered in euthymic bipolar I disorder European Neuropsychopharmacology, 25, 2221–2229. https://doi.org/10.1016/j.euroneuro.2015.09.020

• 2014

  • Meyer, M., Lüthi, M. S., Neff, P., Langer, N., & Büchi, S. (2014). Disentangling tinnitus distress and tinnitus presence by means of EEG power analysis Neural Plasticity, 2014, 1–13. https://doi.org/10.1155/2014/468546

• 2013

  • Langer, N., Von Bastian, C. C., Wirz, H., Oberauer, K., & Jäncke, L. (2013). The effects of working memory training on functional brain network efficiency Cortex, 49, 2424–2438. https://doi.org/10.1016/j.cortex.2013.01.008
  • Baur, V., Hänggi, J., Langer, N., & Jäncke, L. (2013). Resting-State Functional and Structural Connectivity Within an Insula-Amygdala Route Specifically Index State and Trait Anxiety Biological Psychiatry, 73, 85–92. https://doi.org/10.1016/j.biopsych.2012.06.003
  • Langer, N., Pedroni, A., & Jäncke, L. (2013). The problem of thresholding in small-world network analysis PLoS ONE, 8, e53199. https://doi.org/10.1371/journal.pone.0053199
  • Von Bastian, C. C., Langer, N., Jäncke, L., & Oberauer, K. (2013). Effects of working memory training in young and old adults Memory & Cognition, 41, 611–624. https://doi.org/10.3758/s13421-012-0280-7

• 2012

  • Langer, N., Pedroni, A., Gianotti, L. R. R., Hänggi, J., Knoch, D., & Jäncke, L. (2012). Functional brain network efficiency predicts intelligence Human Brain Mapping, 33, 1393–1406. https://doi.org/10.1002/hbm.21297
  • Havranek, M., Langer, N., Cheetham, M., & Jäncke, L. (2012). Perspective and agency during video gaming influences spatial presence experience and brain activation patterns Behavioral and Brain Functions, 8, 34. https://doi.org/10.1186/1744-9081-8-34
  • Jäncke, L., Langer, N., & Hänggi, J. (2012). Diminished Whole-brain but Enhanced Peri-sylvian Connectivity in Absolute Pitch Musicians Journal of Cognitive Neuroscience, 24, 1447–1461. https://doi.org/10.1162/jocn_a_00227
  • Langer, N. (2012). Efficiency of functional brain networks (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-164137

• 2011

  • Jäncke, L., & Langer, N. (2011). A strong parietal hub in the small-world network of coloured-hearing synaesthetes during resting state EEG Journal of Neuropsychology, 5, 178–202. https://doi.org/10.1111/j.1748-6653.2011.02004.x

• 2010

  • Langer, N., Beeli, G., & Jäncke, L. (2010). When the sun prickles your nose: an EEG study identifying neural bases of photic sneezing PLoS ONE, 5, e9208. https://doi.org/10.1371/journal.pone.0009208