Posters
Presentation Type
Poster
Discipline Track
Clinical Science
Abstract Type
Research/Clinical
Abstract
Background: Connectome Harmonics analysis is a novel neuroimaging framework that defines brain states as neural spatial patterns associated with different frequencies emerging within a brain. Frequencies corresponding to specific brain states, or connectome-specific harmonic waves (CSHWs), are estimated to be the building blocks of brain activity, linking cortical oscillations, functional connectivity, and structural connectivity. Using this framework, studies will examine CSHWs of patients to catalog and analyze the spatiotemporal neural dynamics of patients with disordered brain states.
Methods: By using MRI (or fMRI) and DTI data extracted from MRI scans of patients, cortical surface anatomy and the underlying neural tracts can be tracked respectively and combined to generate a patient’s connectome. Once the connectome is generated, it is converted into its graphical form where Eigen decompositions of the Laplacian operator are graphed. Application of this function to the connectome’s graph results in a spectrum of harmonic brain modes corresponding to a patient’s brain’s natural resonant frequencies (eigenvalues).
Results: The CSHW framework has already been used to examine brains in a variety of ways. Previous research findings show that neocortical organization and development may be shaped by the harmonic modes corresponding to the brain’s functional connectivity, Patients given classical psychedelics (LSD, Psilocybin, and DMT) display an expanded repertoire of brain states, and neuroplasticity may be underpinned by neurons shifting into metastable states that are modulated according to a brain’s CSHWs.
Discussion: Common neuroimaging methods like CT scans and PET scans are important in extracting information about regional activation during tasks but fail to contextualize or explain the interconnectedness of brain activity. CSHW analysis utilizes multiple imaging techniques and mathematical functions to derive an alphabet of brain states that can be used to describe our subjective states, from mental disorders to flow states and everyday emotions. Clinical trials here at the UTRGV institute of neuroscience will apply CSHW analysis to patients suffering from bipolar disorder, depression, and alcohol withdrawal syndrome. This research will not only allow us to examine and catalog the spatiotemporal dynamics of these disorders but potentially map out treatment plans tailored to each patient’s connectome harmonics.
Academic/Professional Position
Medical Student
Mentor/PI Department
Psychiatry
Recommended Citation
Odunsi, Stephen A. and Salloum, Ihsan, "Connectome Specific Harmonic Wave Analysis of Disordered Brain States" (2023). Research Symposium. 106.
https://scholarworks.utrgv.edu/somrs/2022/posters/106
Included in
Connectome Specific Harmonic Wave Analysis of Disordered Brain States
Background: Connectome Harmonics analysis is a novel neuroimaging framework that defines brain states as neural spatial patterns associated with different frequencies emerging within a brain. Frequencies corresponding to specific brain states, or connectome-specific harmonic waves (CSHWs), are estimated to be the building blocks of brain activity, linking cortical oscillations, functional connectivity, and structural connectivity. Using this framework, studies will examine CSHWs of patients to catalog and analyze the spatiotemporal neural dynamics of patients with disordered brain states.
Methods: By using MRI (or fMRI) and DTI data extracted from MRI scans of patients, cortical surface anatomy and the underlying neural tracts can be tracked respectively and combined to generate a patient’s connectome. Once the connectome is generated, it is converted into its graphical form where Eigen decompositions of the Laplacian operator are graphed. Application of this function to the connectome’s graph results in a spectrum of harmonic brain modes corresponding to a patient’s brain’s natural resonant frequencies (eigenvalues).
Results: The CSHW framework has already been used to examine brains in a variety of ways. Previous research findings show that neocortical organization and development may be shaped by the harmonic modes corresponding to the brain’s functional connectivity, Patients given classical psychedelics (LSD, Psilocybin, and DMT) display an expanded repertoire of brain states, and neuroplasticity may be underpinned by neurons shifting into metastable states that are modulated according to a brain’s CSHWs.
Discussion: Common neuroimaging methods like CT scans and PET scans are important in extracting information about regional activation during tasks but fail to contextualize or explain the interconnectedness of brain activity. CSHW analysis utilizes multiple imaging techniques and mathematical functions to derive an alphabet of brain states that can be used to describe our subjective states, from mental disorders to flow states and everyday emotions. Clinical trials here at the UTRGV institute of neuroscience will apply CSHW analysis to patients suffering from bipolar disorder, depression, and alcohol withdrawal syndrome. This research will not only allow us to examine and catalog the spatiotemporal dynamics of these disorders but potentially map out treatment plans tailored to each patient’s connectome harmonics.