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Full-Text Articles in Neuroscience and Neurobiology

Utilizing Ai Integrated Neuroimaging Technology To Expand Upon Machine Learning In Positron Emission Tomography Technology With The Aim Of Detecting Amyloid Beta Biomarkers Early In The Onset Of Alzheimer's., Ethan S. Terman Jan 2024

Utilizing Ai Integrated Neuroimaging Technology To Expand Upon Machine Learning In Positron Emission Tomography Technology With The Aim Of Detecting Amyloid Beta Biomarkers Early In The Onset Of Alzheimer's., Ethan S. Terman

Undergraduate Research Posters

Early intervention in Alzheimer's is vital for treatment. The earlier a professional can detect symptoms and make a diagnosis the earlier a prognosis can be implemented. With the prevalence of data in our day-to-day world combined with Artificial intelligence (AI), utilizing both for machine learning can pave the way for more accurate and efficient detection of Alzheimer's and other neurodegenerative diseases. AI combined with Machine learning (ML) increases diagnostic efficiency and reduces human errors, making it a valuable resource for physicians and clinicians alike. With the increasing amount of data processing and image interpretation required, the ability to use AI …


Identification Of Structural Brain Alterations In Adolescents With Depressive Symptomatology, J. Bashford‑Largo, R. James R. Blair, Karina S. Blair, Matthew Dobbertin, Ahria Dominguez, Melissa Hatch, Sahil Bajaj Aug 2023

Identification Of Structural Brain Alterations In Adolescents With Depressive Symptomatology, J. Bashford‑Largo, R. James R. Blair, Karina S. Blair, Matthew Dobbertin, Ahria Dominguez, Melissa Hatch, Sahil Bajaj

Center for Brain, Biology, and Behavior: Faculty and Staff Publications

Introduction: Depressive symptoms can emerge as early as childhood and may lead to adverse situations in adulthood. Studies have examined structural brain alternations in individuals with depressive symptoms, but findings remain inconclusive. Furthermore, previous studies have focused on adults or used a categorical approach to assess depression. The current study looks to identify grey matter volumes (GMV) that predict depressive symptomatology across a clinically concerning sample of adolescents.

Methods: Structural MRI data were collected from 338 clinically concerning adolescents (mean age = 15.30 SD=2.07; mean IQ = 101.01 SD=12.43; 132 F). Depression symptoms were indexed via the Mood …


Cerebellum-Seeded Functional Connectivity Changes In Trait-Anxious Individuals Undergoing Attention Bias Modification Training, Katherine Elwell Jul 2021

Cerebellum-Seeded Functional Connectivity Changes In Trait-Anxious Individuals Undergoing Attention Bias Modification Training, Katherine Elwell

All NMU Master's Theses

Anxiety and anxiety related disorders are increasing at a drastic rate in the past decade, with the NIMH reporting that 31.1% of U.S. adults will experience an anxiety disorder at some point in their lives. Anxiety is commonly characterized by increased attention bias to threat. Attention Bias Modification (ABM) is a new treatment used to reduce individual’s attention bias towards threat. The extent to which ABM leads to underlying neural changes is still unknown. The cerebellum is a neglected brain structure, with new research provides evidence that cerebellum’s functional connectivity and shared networks with threat processing regions has a direct …


A Computational Assessment Of Target Engagement In The Treatment Of Auditory Hallucinations With Transcranial Direct Current Stimulation, Won Hee Lee, Nigel I. Kennedy, Marom Bikson, Sophia Frangou Feb 2018

A Computational Assessment Of Target Engagement In The Treatment Of Auditory Hallucinations With Transcranial Direct Current Stimulation, Won Hee Lee, Nigel I. Kennedy, Marom Bikson, Sophia Frangou

Publications and Research

We use auditory verbal hallucinations (AVH) to illustrate the challenges in defining and assessing target engagement in the context of transcranial direct current stimulation (tDCS) for psychiatric disorders. We defined the target network as the cluster of regions of interest (ROIs) that are consistently implicated in AVH based on the conjunction of multimodal meta-analytic neuroimaging data. These were prescribed in the New York Head (a population derived model) and head models of four single individuals. We appraised two potential measures of target engagement, tDCS-induced peak electric field strength and tDCS-modulated volume defined as the percentage of the volume of the …


Psychotherapy And The Embodiment Of The Neuronal Identity: A Hermeneutic Study Of Louis Cozolino's (2010) The Neuroscience Of Psychotherapy: Healing The Social Brain , Ari Simon Natinsky Jan 2014

Psychotherapy And The Embodiment Of The Neuronal Identity: A Hermeneutic Study Of Louis Cozolino's (2010) The Neuroscience Of Psychotherapy: Healing The Social Brain , Ari Simon Natinsky

Antioch University Full-Text Dissertations & Theses

In recent years, there have been several ways in which researchers have attempted to integrate psychotherapy and neuroscience research. Neuroscience has been proposed as a method of addressing lingering questions about how best to integrate psychotherapy theories and explain their efficacy. For example, some psychotherapy outcome studies have included neuroimaging of participants in order to propose neurobiological bases of effective psychological interventions (e.g., Paquette et al., 2003). Other theorists have used cognitive neuroscience research to suggest neurobiological correlates of various psychotherapy theories and concepts (e.g., Schore, 2012). These efforts seem to embody broader historical trends, including the hope that neuroscience …


Progressive Levels Of Physical Dependence To Tobacco Coincide With Changes In The Anterior Cingulum Bundle Microstructure, Wei Huang, Joseph R. Difranza, David N. Kennedy, Nanyin Zhang, Douglas M. Ziedonis, W. W. Sanouri A. Ursprung, Jean A. King Nov 2013

Progressive Levels Of Physical Dependence To Tobacco Coincide With Changes In The Anterior Cingulum Bundle Microstructure, Wei Huang, Joseph R. Difranza, David N. Kennedy, Nanyin Zhang, Douglas M. Ziedonis, W. W. Sanouri A. Ursprung, Jean A. King

Douglas M. Ziedonis

BACKGROUND: The tobacco withdrawal syndrome indicates the development of neurophysiologic dependence. Clinical evidence indicates that neurophysiologic dependence develops through a set sequence of symptom presentation that can be assessed with a new 3-item survey measure of wanting, craving, and needing tobacco, the Level of Physical Dependence (PD). This study sought to determine if advancing neurophysiologic dependence as measured by the Level of PD correlates with characteristics of white matter structure measured by Fractional Anisotropy (FA).

METHODS: Diffusion-MRI based FA and diffusion tensor imaging probabilistic tractography were used to evaluate 11 smokers and 10 nonsmokers. FA was also examined in relation …


Orbitofrontal Cortex Provides Cross-Modal Valuation Of Self-Generated Stimuli, William A. Cunningham, Ingrid J. Haas, Ashley S. Waggoner Jan 2011

Orbitofrontal Cortex Provides Cross-Modal Valuation Of Self-Generated Stimuli, William A. Cunningham, Ingrid J. Haas, Ashley S. Waggoner

Department of Political Science: Faculty Publications

Prior research has shown that the orbitofrontal cortex (OFC) plays an important role in the representation of the evaluation of stimuli, regardless of stimulus modality. Based on these findings, researchers have proposed that the OFC serves a common currency function, allowing for the direct comparison of different types of perceptual stimuli (e.g. food, drink, money). The present study was designed to extend this research and investigate whether these same regions of OFC that have been identified in previous research are involved in evaluating imagined stimuli. Specifically, we asked participants to draw on prior attitudinal knowledge to generate internal representations of …