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
Neural substrates of affective temperaments: An intersubject representational similarity analysis to resting-state functional magnetic resonance imaging in nonclinical subjects
-  29 April 2024
Graphical Abstract
We employed intersubject representational similarity analysis to identify the brain regions associated with affective temperaments, which are considered subclinical manifestations and precursors of mental disorders, particularly bipolar disorder. The study revealed that depressive, cyclothymic, irritable, and anxious temperaments exhibited similar brain activity patterns, while the hyperthymic temperament displayed distinct activity patterns.
Response stopping under conflict: The integrative role of representational dynamics associated with the insular cortex
-  25 April 2024
Graphical Abstract
The insular cortex is depicted as a brain hub, crucial for the recurrent handling of response-representations during response selection and cancellation across both straightforward (automatic) and complex (conditional) stimulus–response mappings, providing a neural basis for general cognitive accounts on action control.
Intracortical brain-heart interplay: An EEG model source study of sympathovagal changes
-  24 April 2024
Graphical Abstract
This study proposes a novel analytical modeling framework for non-invasively estimating brain-heart interplay at the source-brain level and validates it using experimental EEG and HRV data recorded during cold pressor test. Results confirmed previous findings and reported a bidirectional activity increasing during cold-pressor in delta, beta, and gamma EEG bands.
Semantic context-dependent neural representations of odors in the human piriform cortex revealed by 7T MRI
-  24 April 2024
Graphical Abstract
Comprehensive analysis of synthetic learning applied to neonatal brain MRI segmentation
-  23 April 2024
Graphical Abstract
The synthetic learning approach presents several key features for segmenting newborn brain MRIs. In particular, it is more robust to variations in image contrast and quality than a classical UNet, which is critical in this period of active brain maturation. Ground truth is shown in red, predictions in green.
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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