Decoding cortical chronotopy—Comparing the influence of different cortical organizational schemes by Falko Mecklenbrauck, Jorge Sepulcre, Jana Fehring, Ricarda I. Schubotz

“…We collected resting-state fMRI, task-fMRI, and diffusion-weighted imaging data from 47 individuals. Based on this data, we extracted six organizational schemes: (1) the structural Rich Club (RC) architecture, shown to synchronize the connectome; (2) the structural Diverse Club architecture, as an alternative to the RC based on the network's module structure; (3) the functional uni-to-multimodal gradient, reflected in a wide range of structural and functional features; and (4) the spatial posterior/lateral-to-anterior/medial gradient, established for hierarchical levels of cognitive control. …”
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Predicting pediatric age from chest X-rays using deep learning: a novel approach by Maolin Li, Jiang Zhao, Huanhuan Liu, Biao Jin, Xuee Cui, Dengbin Wang

“…A dataset comprising 128,008 images was retrospectively collected from two large tertiary hospitals in Shanghai. …”
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Generative modeling of the Circle of Willis using 3D-StyleGAN by Orhun Utku Aydin, Adam Hilbert, Alexander Koch, Felix Lohrke, Jana Rieger, Satoru Tanioka, Dietmar Frey

“…The performance was evaluated quantitatively using the Fréchet Inception Distance (FID), MedicalNet distance (MD) and Area Under the Curve of the Precision and Recall Curve for Distributions (AUC-PRD). Qualitative analysis was performed via a visual Turing test. We demonstrated the utility of generated data in a downstream task of multiclass semantic segmentation of CoW arteries. …”
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Quantifying task-locked information transmission between cortical areas with TMS-EEG by Zhaohuan Ding, Wenbo Ma, Leixiao Feng, Mingsha Zhang, Xiaoli Li

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Cross-validation of an artificial intelligence tool for fracture classification and localization on conventional radiography in Dutch population by Huibert C. Ruitenbeek, Sahil Sahil, Aradhana Kumar, Ravi Kumar Kushawaha, Swetha Tanamala, Saigopal Sathyamurthy, Rohitashva Agrawal, Subhankar Chattoraj, Jasika Paramasamy, Daniel Bos, Roshan Fahimi, Edwin H. G. Oei, Jacob J. Visser

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Revolutionizing classification: A novel gray level co-occurrence matrix and statistical feature-based segmentation approach by Abdelwahed Motwakel

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Future of Alzheimer's detection: Advancing diagnostic accuracy through the integration of qEEG and artificial intelligence by Sahar Rezaei, Farzan Asadirad, Alireza Motamedi, Mohammadsadegh Kamran, Farzaneh Parsa, Haniyeh Samimi, Parna Ghannadikhosh, Mahdi Zahmatyar, Seyed Ali Hosseinzadeh, Hossein Arabi

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Beyond averaging: A transformer approach to decoding event related brain potentials by Philipp Zelger, Manuel Arnold, Sonja Rossi, Josef Seebacher, Franz Muigg, Simone Graf, Antonio Rodríguez-Sánchez

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Ultrafast complex-valued 4D fMRI reveals sleep-induced brain respiratory pulsation changes in both magnitude and phase signals by Saara Sofia Syväoja, Lauri Raitamaa, Heta Helakari, Jussi Kantola, Matti Järvelä, Janne Kananen, Ville Isokoski, Vesa Korhonen, Tommi Väyrynen, Timo Tuovinen, Jürgen Hennig, Vesa Kiviniemi

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Sex differences in autism spectrum disorder using class imbalance adjusted functional connectivity by Jong Young Namgung, Jongmin Mun, Yeongjun Park, Jaeoh Kim, Bo-yong Park

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Enhancing prediction of human traits and behaviors through ensemble learning of traditional and novel resting-state fMRI connectivity analyses by Takaaki Yoshimoto, Kai Tokunaga, Junichi Chikazoe

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Assessing the perceived impact of ESOR training programs on radiologists’ professional development by Jules Grégory, Mathias Kofoed-Ottesen, Brigitte Lindlbauer, Christian Loewe, Valérie Vilgrain, European Society of Radiology (ESR)

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Early alterations of thalami- and hippocampi-cortical functional connectivity as biomarkers of seizures after traumatic brain injury by Marina Weiler, Evan S. Lutkenhoff, Brunno M. de Campos, Raphael F. Casseb, Paul M. Vespa, Martin M. Monti

“…We used a seed-based approach applied to acute (i.e., ≤14 days) fMRI imaging data, directly testing the hypothesis that the presence of seizures up to two years following brain trauma is associated with functional changes within hippocampi and thalami-cortical networks. …”
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Intracranial volume segmentation for neurodegenerative populations using multicentre FLAIR MRI by Justin DiGregorio, Giordano Arezza, Adam Gibicar, Alan R. Moody, Pascal N. Tyrrell, April Khademi

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Correspondence between thalamic injury-induced changes in resting-state fMRI of monkeys and their sensorimotor behaviors and neural activities by Anirban Sengupta, Pai-Feng Yang, Jamie L. Reed, Arabinda Mishra, Feng Wang, Isaac V Manzanera Esteve, Zhangyan Yang, Li Min Chen, John C. Gore

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Deep learning radiomics of left atrial appendage features for predicting atrial fibrillation recurrence by Yanping Yin, Sixiang Jia, Jing Zheng, Wei Wang, Ziwen Wang, Jiangbo Lin, Wenting Lin, Chao Feng, Shudong Xia, Weili Ge

“…Preprocedural CT angiography (CTA) images and laboratory data were systematically collected. …”
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Probing Autism and ADHD subtypes using cortical signatures of the T1w/T2w-ratio and morphometry by Linn B. Norbom, Bilal Syed, Rikka Kjelkenes, Jaroslav Rokicki, Antoine Beauchamp, Stener Nerland, Azadeh Kushki, Evdokia Anagnostou, Paul Arnold, Jennifer Crosbie, Elizabeth Kelley, Robert Nicolson, Russell Schachar, Margot J. Taylor, Lars T. Westlye, Christian K. Tamnes, Jason P. Lerch

“…Moreover, cortical variability arises from numerous biological pathways, and multimodal approaches can integrate cortical metrics into a single network. We analyzed data from 310 individuals aged 2.6–23.6 years, obtained from the Province of Ontario Neurodevelopmental (POND) Network consisting of individuals diagnosed with ASD (n = 136), ADHD (n = 100), and typically developing (TD) individuals (n = 74). …”
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A deep learning approach versus expert clinician panel in the classification of posterior circulation infarction by Leon S. Edwards, Milanka Visser, Cecilia Cappelen-Smith, Dennis Cordato, Andrew Bivard, Leonid Churilov, Christopher Blair, James Thomas, Angela Dos Santos, Longting Lin, Chushuang Chen, Carlos Garcia-Esperon, Kenneth Butcher, Tim Kleinig, Phillip MC Choi, Xin Cheng, Qiang Dong, Richard I. Aviv, Mark W. Parsons

“…All patients with baseline multimodal-CT and follow-up imaging performed at 24–48 h were identified. A cohort of 541-patients was constructed on a 1:3 POCI-to −reference-ratio for model analysis. …”
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Disturbed hierarchy and mediation in reward-related circuits in depression by Ruikun Yang, Junxia Chen, Suping Yue, Yue Yu, Jiamin Fan, Yuling Luo, Hui He, Mingjun Duan, Sisi Jiang, Dezhong Yao, Cheng Luo

“…Methods: Resting-state functional magnetic resonance imaging data were collected from a cohort of depression patients (N = 52) and demographically matched healthy controls (N = 60). …”
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Enhanced Brain Tumor Segmentation Using CBAM-Integrated Deep Learning and Area Quantification by Rafiqul Islam, Sazzad Hossain

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