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            "name": "Reduced reliance on partner reciprocity drives lower trust in schizophrenia",
            "publication_status": "submitted",
            "DOI": null,
            "preprint_DOI": "doi.org/10.1101/2025.11.06.25339661",
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            "description": "Schizophrenia is characterized by significant cognitive and social difficulties, including paranoid ideation and impaired trust in others. Despite consistent evidence of disrupted social interactions in schizophrenia, the neurocognitive mechanisms driving these impairments remain poorly understood. Here, we tested the hypothesis that schizophrenia is associated with altered neural processing of others’ cooperative behavior, leading to disrupted belief formation and reduced trust. In a sample of individuals with a diagnosis of schizophrenia (N=39) and healthy controls (N=39) playing a computerized investment game, we show that individuals affected by schizophrenia trusted their game partners less, which was due to reduced sensitivity to partner reciprocity and greater variability in trust behavior. Computational modeling shows that, while both groups learned the partner’s behavior equally well, individuals with schizophrenia were less likely to act on their beliefs about partner benevolence. Neuroimaging results show that during encoding of partner reciprocity, the putamen was more engaged and functionally connected with the precuneus in healthy controls. Reduced functional connectivity between putamen and precuneus was further associated with less successful trusting interactions (lower payoffs) in individuals with schizophrenia as compared with control participants. These results indicate that reduced belief reliance (acting less on formed beliefs about others) rather than impaired belief formation drives distrust in clinical populations.",
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            "private": false,
            "add_date": "2026-05-04T13:05:53.967975+02:00",
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            "group_description": "39 patients with schizophrenia vs. 39 healthy controls",
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            "id": 23664,
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            "owner_name": "nabbott",
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            "name": "The Neural Cost of Language Processing: Broader Network Recruitment in Adults with Developmental Language Disorder",
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            "description": "Developmental Language Disorder (DLD) is a neurodevelopmental disorder characterized by persistent difficulties in language comprehension and production, despite otherwise typical cognitive abilities. Although DLD is most commonly studied in children, it often persists into adulthood, yet little is known about the neural substrates underlying language abilities in adults with DLD. To address this gap, we examined 50 adults with (n = 23) and without DLD (n = 27) using an fMRI language localizer paradigm. Participants passively listened to intelligible and acoustically degraded speech, to assess both lower-level auditory processing and higher-level language comprehension. We also administered standardized language assessments to relate behavioral performance to neural activation patterns. Results indicated that auditory processing in DLD is largely intact, as both groups showed comparable activation in bilateral auditory cortices during degraded speech. In contrast, during comprehension of intact speech, adults with DLD recruited additional domain-general regions, including bilateral midline, frontal, and parietal areas. This pattern suggests compensatory or effortful engagement of broader cognitive systems to support comprehension, even during a very simple task. Critically, participants whose activation patterns more closely resembled canonical left-lateralized language networks demonstrated stronger performance on standardized language measures, implying that diffuse network recruitment may come at a cognitive cost. Overall, these findings indicate that while adults with DLD can achieve functional language comprehension, they do so through altered neural pathways.",
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            "add_date": "2026-05-07T18:23:19.440456+02:00",
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            "hemodynamic_response_function": "Gamma",
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        {
            "id": 23717,
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            "owner": 27456,
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            "owner_name": "bsevchik",
            "number_of_images": 43,
            "name": "Penn LEAD fractal n-back",
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            "description": "Group-level fractal n-back task results from the Penn LEAD (Penn Longitudinal Executive functioning in Adolescent Development) dataset",
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            "add_date": "2026-05-13T20:08:08.234525+02:00",
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            "number_of_rejected_subjects": 18,
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            "matrix_size": 90,
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            "quality_control": "For an fMRI scan to \"pass\" our quality control, it had to have a median FD < 0.3 mm, and > 3 regions with insufficient coverage (<50% coverage in the Schaefer 1000 + subcortical regions).",
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            "high_pass_filter_method": "cosine",
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            "id": 23719,
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            "owner": 44257,
            "contributors": "",
            "owner_name": "singlesp",
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            "description": "This dataset contains ABCD-protocol single-echo BOLD scans, along with complex-valued, multi-echo BOLD scans for comparison. The multi-echo BOLD protocol uses the CMRR MB-EPI sequence, and comes from collaborators at UMinn. These scans include five echoes with both magnitude and phase reconstruction. The primary goal of this dataset was to evaluate the usability of the multi-echo fMRI protocol in a larger study, via direct comparison to the ABCD fMRI protocol, as well as via test-retest reliability analyses. However, these data may be useful to others (e.g., for testing complex-valued models, applying phase regression to multi-echo data, testing multi-echo denoising methods). This neurovault collection contains the nilearn GLM outputs from the task scans. The raw data and derivates can be found on openneuro.",
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