Olli H.J. Gröhn

The paper develops a protocol to characterize epileptogenic tissue using multimodal data from surgical samples, aiming to improve diagnosis and treatment of drug-resistant epilepsy.

This paper introduces a novel MRI technique for simultaneous fMRI of rat brain and spinal cord, demonstrating its feasibility for functional CNS assessments.

This study uses fMRI to show that whisker stimulation in awake rats activates multiple sensory systems, with distinct responses in core and non-core brain regions, and that anesthesia obscures high-order processing.

This paper introduces a multi-channel TMS system for precise stimulus orientation control during ultra-high-field MRI in preclinical studies, enabling concurrent brain stimulation and imaging without compromising imaging quality.

This study identifies species-specific fMRI signatures of anesthesia-induced burst-suppression in primates and rodents, showing differences in brain regions involved.

This paper introduces MB-SWIFT fMRI to study whole-brain activity in head-fixed rats during spontaneous behavior, showing functional parcellation and behavior-related brain activity.

The paper develops a CNN-based method for automated hippocampus segmentation in rat MRI images post-TBI, showing superior performance compared to registration-based methods.

The paper introduces MU-Net, a convolutional neural network for automated skull-stripping and segmentation in mouse brain MRI, achieving high accuracy and speed.

This study develops individual head models for rats using X-ray tomography to estimate TMS-induced electric fields and shows that head shape deviations significantly affect E-field distribution.