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hybrid · semantic + lexical · 5 datasets ranked · 1.47s

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Dataset and analysis code for: Two reading routes, two white matter tracts: Evidence from dyslexia following Brain Tumors

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Kahana Levy, Naomi · Friedmann, Naama · Singer, Neomi · et al.

6 files · 8.3 MB · spss, xlsx, zipdeclared

Cognitive models propose that reading aloud relies on two routes: a lexical route for familiar word recognition, and a sublexical route for grapheme-to-phoneme conversion. Selective disruption of these routes results in surface or phonological dyslexia, respectively. Although the dual route model is well supported behaviorally, its white matter substrates remain incompletely characterized. This study examined the anatomical correlates of acquired lexical and sublexical reading impairments in patients with high-grade glioma in the dominant hemisphere. Thirty-seven patients underwent diffusion tensor imaging (DTI) and a comprehensive reading battery. Reading aloud of regular and irregular words, and pseudowords was used to classify patients as having intact reading, surface dyslexia, or phonological dyslexia, based on normative criteria. Six language-related white matter tracts were reconstructed individually for each patient using subject-specific tractography. Each tract was then systematically segmented along its longitudinal axis, allowing diffusion parameters to be extracted from anatomically defined subsegments. Lesion-tract overlap measures were computed to quantify focal tract involvement. Fourteen patients exhibited impaired sublexical reading, 12 impaired lexical reading, and 11 intact reading. Deficits in the sublexical route were more frequent among patients with arcuate fasciculus lesion overlap, and sublexical error rates correlated with global tract integrity. Deficits in the lexical route were associated with the posterior temporal segment of the inferior longitudinal fasciculus, where surface dyslexia errors correlated with reduced fractional anisotropy. In contrast, uncinate fasciculus involvement was more frequent among patients with intact reading, suggesting a specific association with preserved reading rather than a role in either reading route. These findings provide a fine-grained structure-function mapping of the dual route reading model onto white matter pathways. This deposit contains: 1. The de-identified SPSS dataset ( CORTEX-D-26-00041R1_SPSS_DATA.sav , N=37 post-metastatic exclusion) and accompanying SPSS syntax ( .sps ) underlying the statistical analyses reported in the manuscript 2. A full data codebook describing all variables, coding schemes, and derived measures 3. Per-patient MNI-space tract segmentations ( CORTEX-D-26-00041R1_MNI ) 4. Per-patient, per-tract FA and MD diffusion parameters ( CORTEX-D-26-00041R1_DTI_Reports ), provided as text files reporting percentile-based microstructural values sampled along the longitudinal course of each reconstructed tract Standardized psychometric test materials used in the reading battery are not included in this deposit due to publisher copyright restrictions on redistribution of test items. Raw diffusion-weighted MRI (dMRI) volumes are not included due to re-identifiability risk in this small, clinically-defined tumor cohort. Both might be available upon reasonable request, subject to appropriate licensing and/or institutional ethics approval - see the manuscript's Data Availability Statement for details.

open·CC-BY-4.0·Zenodo·completeSource
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Software and AMR peptide database for 'PEPTiGEN: a tool for mining antimicrobial resistance PEPTides using GENe data of public available repositories'

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Meekes, Lisa · Tabaro, Francesco · Bexkens, Michiel · et al.

41 files · 8.2 GB · csv, fasta, pdfdeclared

This record contains the Python software for PEPTiGEN, a tool for generating tryptic peptides from prokaryotic gene sequences and their variants, and the associated antimicrobial resistance (AMR) peptide database. The database is provided as an SQL file and a CSV file containing all genes and predicted peptides. The README file contains explanation of the PEPTiGEN tool. The SQL database schema files contains both the database schema of the SQL database used in the PEPTiGEN analysis as the database schema of the AMR peptide datbase.

open·CC-BY-4.0·Zenodo·completeSource
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Cerebrospinal fluid profile, including α-Synuclein seeding activity, of p.A53T SNCA mutation carriers: Data from the PPMI Study.

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Papagiannakis, Nikolaos · Simitsi, Athina-Maria · Stefanis, Leonidas

5 files · 667 KB · spssdeclared

Code and analysis for the manuscript "Cerebrospinal fluid profile, including α-Synuclein seeding activity, of p.A53T SNCA mutation carriers: Data from the PPMI Study."

open·CC-BY-4.0·Zenodo·completeSource
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Psychometric Evaluation of the Turkish Version of the Perceived Moral Agency Scale for Artificial Intelligence

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Şahin, Melike · Gültekin, Muhammed Huzeyfe · ERDOĞDU, FURKAN · et al.

3 files · 43 KB · spssdeclared

Data from the study titled "Psychometric Evaluation of the Turkish Version of the Perceived Moral Agency Scale for Artificial Intelligence".

open·CC-BY-4.0·Zenodo·completeSource
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Personality traits predict CSCL roles via network centrality

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Liu, Zhongjian · Liu, Hainuo · Nie, Xinxiao · et al.

5 files · 60 KB · spss, xlsxdeclared

open·CC-BY-4.0·Zenodo·completeSource

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