Edited By: Simon B. Eickhoff, Gary Egan, Sophia Frangou, and Martijn van den Heuvel
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Human Brain Mapping is a functional neuroanatomy and neuroimaging journal where all disciplines of neurology collide to advance the field. The journal offers basic, clinical, technical and theoretical research in the rapidly expanding field of human brain mapping. Proudly accessible, every issue is open to the world.
Articles
A New Multiple Imputation Method for High‐Dimensional Neuroimaging Data
-  21 March 2025
Graphical Abstract

HIMA, a novel multiple imputation method specifically designed for high-dimensional neuroimaging data, drastically reduces computational burden (e.g., 1 h vs. 800 h for traditional methods) while improving imputation precision and stability, as evidenced by theoretical justification, extensive simulations, and real data analysis.
Effects of Aging, Estimated Fitness, and Cerebrovascular Status on White Matter Microstructural Health
-  21 March 2025
Graphical Abstract

White matter (WM) health declines with age and improves with estimated fitness. However, the effects of age and estimated fitness do not completely overlap spatially. Cerebrovascular health mediates the relationships of WM health with both age and estimated fitness. Males show steeper declines in WM health than females.
Investigating the Human Brain's Integration of Internal and External Reference Frames: The Role of the Alpha and Beta Bands in a Modified Temporal Order Judgment Task
-  21 March 2025
The Neural Association Between Symptom and Cognition in Major Depressive Disorder: A Network Control Theory Study
-  20 March 2025
Graphical Abstract

We aimed to determine the effect of alterations in average controllability (AC) on emotional and cognitive symptoms in patients with major depressive disorder (MDD). We found that AC values in the right SFG were negatively moderating the association between memory (i.e., DSF scores) and anxiety symptoms (i.e., HAMA scores) in patients with MDD.
Early Development and Co-Evolution of Microstructural and Functional Brain Connectomes: A Multi-Modal MRI Study in Preterm and Full-Term Infants
-  18 March 2025
Graphical Abstract

Our study reveals a significant relationship between functional connectivity and underlying microstructure during development that decreases with age and varies across connection types. Despite the progressive maturational decoupling of microstructural and functional connectivity, a shared network structure may underlie changes in both properties.
The following is a list of the most cited articles based on citations published in the last three years, according to CrossRef.
Deep learning with convolutional neural networks for EEG decoding and visualization
-  5391-5420
-  7 August 2017
Nonparametric permutation tests for functional neuroimaging: A primer with examples
-  1-25
-  15 October 2001
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