We have used the 5 0 flanking sequence of the myelin basic protein gene known to include the core promoter and a strong oligodendrocyte (ODC)-specific enhancer to target expression of the well-studied model antigen ovalbumin (OVA) to ODC in transgenic mice. OVA protein was detected in a tissue-and cell-specific manner in these "ODC-OVA" mice. Without immunization, CD4 T cells and B cells remained ignorant of the neo-self antigen expressed in the central nervous system (CNS), as indicated by unimpaired development and lack of activation of OVA/IA b -specific TCR transgenic T cells in these mice, and the ability to mount normal OVA-specific recall and antibody responses. Upon immunization with OVA in complete Freund's adjuvant, about half of the transgenic mice developed neurological symptoms characteristic of experimental autoimmune encephalomyelitis (EAE). Mononuclear infiltrates in the brain and spinal cord contained both macrophages and T cells, similar to classical models of EAE induced by immunization with CNS antigens in adjuvant. The wealth of immunological reagents available to study and manipulate the OVA-specific response should make this new model useful for the investigation of components and mechanisms involved in CNSspecific autoimmunity.

For experimental research on language production, temporal precision and high quality of the recorded audio files are imperative. These requirements are a considerable challenge if language production is to be investigated online. However, online research has huge potential in terms of efficiency, ecological validity and diversity of study populations in psycholinguistic and related research, also beyond the current situation. Here, we supply confirmatory evidence that language production can be investigated online and that reaction time (RT) distributions and error rates are similar in written naming responses (using the keyboard) and typical overt spoken responses. To assess semantic interference effects in both modalities, we performed two pre-registered experiments (n = 30 each) in online settings using the participants’ web browsers. A cumulative semantic interference (CSI) paradigm was employed that required naming several exemplars of semantic categories within a seemingly unrelated sequence of objects. RT is expected to increase linearly for each additional exemplar of a category. In Experiment 1, CSI effects in naming times described in lab-based studies were replicated. In Experiment 2, the responses were typed on participants’ computer keyboards, and the first correct key press was used for RT analysis. This novel response assessment yielded a qualitatively similar, very robust CSI effect. Besides technical ease of application, collecting typewritten responses and automatic data preprocessing substantially reduce the work load for language production research. Results of both experiments open new perspectives for research on RT effects in language experiments across a wide range of contexts. JavaScript- and R-based implementations for data collection and processing are available for download.