Publications by authors named "Manu Krishnamurthy"
Article Synopsis
- * Researchers used advanced imaging techniques to analyze how different parts of the hippocampus connect with specific cortical pathways during brain development, with the front part linked to the anterior temporal pathway and the back part to the posterior medial pathway.
- * The study found that as brains develop, there is a shift in connectivity from the back to the front of the hippocampus, emphasizing its role in episodic memory and identifying key regions that influence how the hippocampus integrates into broader brain functions.
Background And Purpose: Task-based functional MRI (fMRI) mapping of the motor function prior to epilepsy surgery has limitations in children with epilepsy. We present a data-driven method to automatically delineate the motor cortex using task-free, resting-state fMRI (rsfMRI) data.
Methods: We used whole-brain rsfMRI for independent component analysis (ICA).
Objective: The purpose of this study was to evaluate if focal cortical dysplasia (FCD) co-localization to cortical functional networks is associated with the temporal distribution of epilepsy onset in FCD.
Methods: International (20 center), retrospective cohort from the Multi-Centre Epilepsy Lesion Detection (MELD) project. Patients included if >3 years old, had 3D pre-operative T1 magnetic resonance imaging (MRI; 1.
Background And Objectives: Task fMRI is a clinical tool for language lateralization, but has limitations, and cannot provide information about network-level plasticity. Additional methods are needed to improve the precision of presurgical language mapping. We investigate language resting-state functional connectivity (RS fMRI; FC) in typically developing children (TD) and children with epilepsy.
View Article and Find Full Text PDFDevelopment of a task-free method for presurgical mapping of language function is important for use in young or cognitively impaired patients. Resting state connectivity fMRI (RS-fMRI) is a task-free method that may be used to identify cognitive networks. We developed a voxelwise RS-fMRI metric, Functional Connectivity Hemispheric Contrast (FC-HC), to map the language network and determine language laterality through comparison of within-hemispheric language network connections (Integration) to cross-hemispheric connections (Segregation).
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