Large-scale datasets and global collaborations are increasingly enabling exciting discoveries in neuroimaging research; however, barriers such as data privacy regulations and unequal access to computational infrastructure continue to hinder progress. Federated analysis offers a promising solution by allowing decentrali...
Bradley T. Baker, Sandeep R. Panta, Dylan Martin et al.· Aperture Neuro· 0 citations
Studies commonly report that youth with elevated psychopathic traits exhibit deficits within limbic and paralimbic regions, including reduced gray matter volume (GMV) in the amygdala, orbitofrontal cortex (OFC), and temporal pole. However, studies have also reported additional structural abnormalities in regions exte...
J. Maurer, C. H. Allen, David D. Stephenson et al.· Frontiers in Psychology· 0 citations
Molecular neuroimaging with positron emission tomography (PET) and single-photon emission computed tomography (SPECT) enables quantification of specific molecular targets in the living brain. Despite its scientific impact, molecular neuroimaging research has historically faced challenges due to high costs, small sample...
Melanie Ganz, Martin Norgaard, Cyril R. Pernet et al.· Journal of Cerebral Blood Fl...· 0 citations
Multi-echo functional magnetic resonance imaging (fMRI) acquires signals with distinct contrast profiles across echo times (TEs). Empirical evidence suggests that different TEs capture distinct signal contributions with varying sensitivity to BOLD and non-BOLD processes from long to short TEs (Stroman, 2002; Krishnamur...
Micah Holness, Anastasia Bohsali, B. Baker et al.· bioRxiv· 0 citations
An adaptive layerwise alignment module that progressively aligns and fuses features from imaging branches through attention-driven interactions at multiple network layers, enabling continuous and sufficient cross-modality information exchange and a tabular-adaptive parameterization module that incorporates structured c...
Chuang Liang, Tülay Adalı, Jing Sui et al.· Proceedings of the 32nd ACM...· 0 citations
This work presents BrainNetGFM, a novel graph-based foundation model for brain network construction that integrates individualized geometry with joint self-supervised learning, pre-trained on a massive dataset of 44,476 samples and proposes a joint self-supervised learning framework that synergizes generative and contr...
Chunzhi Zhao, Tülay Adalı, Jing Sui et al.· Proceedings of the 32nd ACM...· 0 citations
Sex and educational attainment significantly affect the development and maintenance of cognitive reserve in individuals with genetic FTD, and underscore the importance of identifying disease-modifying interventions since the presymptomatic stages of the disease.
E. Premi, Damiano Archetti, A. Redolfi et al.· Brain Communications· 0 citations
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