ArticleJournal of neuroendocrinology2026
Right-lateralized maladaptive topological reorganization in hyperthyroidism.
Article in Journal of neuroendocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Hyperthyroidism is associated with cognitive impairment and neuropsychiatric symptoms, yet its effects on white matter architecture and neuromolecular organization remain poorly understood. We examined how hyperthyroidism alters white matter wiring architecture and the neuromodulatory systems underlying these disturbances. Diffusion MRI-derived structural connectomes were analyzed in 30 patients with hyperthyroidism (HT) and 28 matched healthy controls (HC). Structural connections were classified into short-, medium-, and long-range pathways, and global and nodal network topology was quantified using graph theoretical analysis. Molecular associations were examined using nine PET-derived neurotransmitter receptor density maps through spatial correlation, multiple regression, and dominance analysis. Associations with thyroid hormone levels, clinical measures, and cognitive scores were evaluated using permutation-based statistical testing. Neurotransmitter-weighted network measures were computed by linking normative neurotransmitter density with graph theoretical metrics. Spatial autocorrelation was controlled using spin permutation testing, with results additionally corrected for multiple comparisons using false discovery rate (FDR) correction. Hyperthyroid patients exhibited significantly increased medium-range (p = .002) and long-range connectivity (p = .02), reduced modularity (p = .009), and increased characteristic path length (p = .032) as compared to controls, indicating disrupted segregation and efficiency. Nodal alterations were predominantly right-lateralized, involving cortical, subcortical, and cerebellar regions. Clinically, BMI predicted modularity (p = .01), while free thyroxine levels predicted characteristic path length (p = .04) and long-range connectivity strength (p = .03). The Nahor-Benson score was associated with increased medium-range connectivity (p = .02) and nodal degree (p = .03) in right cerebellar lobule IV-V. Neurotransmitter receptor distributions explained substantial variance in network topology (adjusted R
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.