Purpose: The structural connectome is a comprehensive structural description of the network of elements and connections forming the brain. In recent years, this framework has progressively been used to investigate the pediatric brain.
Methods: We discuss the different steps and emphasize key technical aspects required for the successful reconstruction, analysis, and visualization of the pediatric structural connectome using current state-of-the-art neuroimaging and post-processing techniques.
Results: The two key components of structural connectome are a node (a cortical region obtained with high-resolution anatomical imaging) and an edge (structural association between cortical regions, defined with tractography). After delineation of nodes and edges, an association matrix can be generated by compiling all pairwise associations between nodes and applying a threshold to produce a binary adjacency matrix. Several measures can be used to characterize the topological architecture of the brain's networks. Finally, we provide an overview of various visualization methods of the structural connectome in children.
Conclusion: The human connectome is the culmination of more than a century of conceptual and methodological innovation. Biological substrates of brain development such as cortical gyration and myelination challenge the acquisition, reconstruction, and analysis of structural connectome in children and require specific considerations compared to adults.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00234-017-1831-1 | DOI Listing |
JAMA Netw Open
January 2025
Laboratory of NeuroImaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland.
Importance: Cannabis use has increased globally, but its effects on brain function are not fully known, highlighting the need to better determine recent and long-term brain activation outcomes of cannabis use.
Objective: To examine the association of lifetime history of heavy cannabis use and recent cannabis use with brain activation across a range of brain functions in a large sample of young adults in the US.
Design, Setting, And Participants: This cross-sectional study used data (2017 release) from the Human Connectome Project (collected between August 2012 and 2015).
Clin Neurol Neurosurg
January 2025
Department of Neurosurgery, Lenox Hill Hospital/Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA.
Objectives: Language is a critical aspect of human cognition and function, and its preservation is a priority for neurosurgical interventions in the left frontal operculum. However, identification of language areas can be inconsistent, even with electrical mapping. The use of multimodal structural and functional neuroimaging in conjunction with intraoperative neuromonitoring may augment cortical language area identification to guide the resection of left frontal opercular lesions.
View Article and Find Full Text PDFMed Image Comput Comput Assist Interv
October 2024
Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, USA.
Delineating the normative developmental profile of functional connectome is important for both standardized assessment of individual growth and early detection of diseases. However, functional connectome has been mostly studied using functional connectivity (FC), where undirected connectivity strengths are estimated from statistical correlation of resting-state functional MRI (rs-fMRI) signals. To address this limitation, we applied regression dynamic causal modeling (rDCM) to delineate the developmental trajectories of effective connectivity (EC), the directed causal influence among neuronal populations, in whole-brain networks from infancy to adolescence (0-22 years old) based on high-quality rs-fMRI data from Baby Connectome Project (BCP) and Human Connectome Project Development (HCP-D).
View Article and Find Full Text PDFActa Neuropsychiatr
January 2025
Department of Psychiatry, Korea University Guro Hospital, Seoul, Korea.
Objective: This study aimed to utilise graph theory to explore the functional brain networks in individuals with tic disorders and to investigate resting-state functional connectivity changes in critical brain regions associated with tic disorders.
Methods: Participants comprised individuals with tic disorders and age-matched healthy controls, ranging from 6 to 18 years old, all recruited from Korea University Guro Hospital. We ensured a medication-naïve cohort by excluding participants exposed to psychotropic medications for at least three weeks prior to the study.
Transl Psychiatry
January 2025
Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Obsessive-compulsive disorder (OCD) is a highly heterogeneous disorder, with notable variations among cases in structural brain abnormalities. To address this heterogeneity, our study aimed to delineate OCD subtypes based on individualized gray matter morphological differences. We recruited 100 untreated, first-episode OCD patients and 106 healthy controls for structural imaging scans.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!