Results 181 to 190 of about 64,126 (335)
Many diffusion MRI researchers, including the Human Connectome Project (HCP), acquire data using multishell (e.g., WU-Minn consortium) and diffusion spectrum imaging (DSI) schemes (e.g., USC-Harvard consortium).
Verstynen, Timothy D., Yeh, Fang-Cheng
core
Clinical applications of the functional connectome [PDF]
F. Xavier Castellanos+4 more
openalex +1 more source
This is the graph abstract of our manuscript delineating the methods employed in both MR and scRNA‐seq analyses within the present investigation. ABSTRACT Background The influence of immune cell traits (ICTs) on the onset of multiple brain diseases has been previously investigated; however, it is limited by the sample size or colocalization evidence ...
Shanbao Ke+3 more
wiley +1 more source
A merged analysis of 7T MRSI and MEG recordings revealed an association between smaller GABA/Glutamate ratios and the evoked early auditory gamma‐band response (EAGBR), a potential marker of cortical hyperexcitability, in first‐episode schizophrenia. This relationship, and associated clinical outcomes, appear to be driven by GABA levels.
Alfredo L. Sklar+9 more
wiley +1 more source
Rich Club Organization and Intermodule Communication in the Cat Connectome [PDF]
Marcel A. de Reus+1 more
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In a large global sample of people with trauma exposure, we utilized a data‐driven approach to evaluate resting state brain network dynamics. Neither static nor dynamic functional connectivity dynamic analyses showed robust differential patterns of graph dynamics between those with posttraumatic stress disorder and those without.
Carissa W. Tomas+74 more
wiley +1 more source
Chronic predator stress (CPS) is an important and ecologically relevant tool for inducing anhedonia in animals, but the neural circuits underlying the associated neurobiological changes remain to be identified.
Binghao Zhao+5 more
doaj
Courtship behavior in Drosophila melanogaster: towards a ‘courtship connectome’
Hania J. Pavlou, Stephen F. Goodwin
openalex +1 more source
Brain Age Prediction: Deep Models Need a Hand to Generalize
We enhanced the robustness of a CNN‐based model for brain age prediction by addressing a key challenge in medical imaging: limited training data often hinders generalization. To overcome this, we refined the MRI preprocessing pipeline and incorporated additional data augmentation and regularization techniques during training. The results showed up to a
Reza Rajabli+4 more
wiley +1 more source
Towards the “Baby Connectome”: Mapping the Structural Connectivity of the Newborn Brain
Olga Tymofiyeva+8 more
openalex +2 more sources