Katherine BottenhornUniversity of Southern California | USC · Department of Population and Public Health Sciences
Katherine Bottenhorn
Doctor of Philosophy
Postdoc at the University of Southern California, studying heterogeneity in child & adolescent brain development
About
37
Publications
9,851
Reads
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747
Citations
Citations since 2017
Introduction
Additional affiliations
November 2021 - present
Florida International University
Position
- Courtesy Postdoctoral Associate
August 2015 - August 2021
Position
- PhD Student
Description
- Developing and employing novel analytic techniques to study individual differences in large-scale brain networks
November 2013 - May 2015
Position
- Research Assistant
Description
- Studied the functional connectivity of the human hypothalamus using both meta-analytic and ultra-high field MR data; assisted in MR data collection
Education
August 2015 - August 2021
August 2011 - May 2015
August 2011 - May 2015
Publications
Publications (37)
As we move toward population-level developmental neuroscience, understanding intra- and interindividual variability in brain maturation and sources of neurodevelopmental heterogeneity becomes paramount. Large-scale, longitudinal neuroimaging studies have uncovered group-level neurodevelopmental trajectories, and while recent work has begun to untan...
Neuroscientists have sought to identify the underlying neural systems supporting social processing that allow interaction and communication, forming social relationships, and navigating the social world. Through the use of NIMH’s Research Domain Criteria (RDoC) framework, we evaluated consensus among studies that examined brain activity during soci...
Attentional control theory (ACT) posits that elevated anxiety increases the probability of re-allocating cognitive resources needed to complete a task to processing anxiety-related stimuli. This process impairs processing efficiency and can lead to reduced performance effectiveness. Science, technology, engineering, and math (STEM) students frequen...
Background
Population-based neuroscience offers opportunities to examine important but understudied sociocultural factors, such as acculturation. Acculturation refers to the extent to which an individual retains their cultural heritage and/or adopts the receiving society’s culture and is particularly salient among Hispanic/Latinx immigrants. Specif...
Objective
Neuroscientists have sought to identify the underlying neural systems supporting mental processes involved in social cognition. These processes allow us to interact and communicate with others, form social relationships, and navigate the social world. Through the use of NIMH’s Research Domain Criteria (RDoC) framework, we evaluated consen...
Altered activity within and between large-scale brain networks has been implicated across various neuropsychiatric conditions. However, patterns of network dysregulation associated with human immunodeficiency virus (HIV), and further impacted by cannabis (CB) use, remain to be delineated. We examined the impact of HIV and CB on resting-state functi...
As the global health crisis unfolded, many academic conferences moved online in 2020. This move has been hailed as a positive step towards inclusivity in its attenuation of economic, physical, and legal barriers and effectively enabled many individuals from groups that have traditionally been underrepresented to join and participate. A number of st...
Early career researchers (ECRs) are faced with a range of competing pressures in academia, making self-management key to building a successful career. The Organization for Human Brain Mapping undertook a group effort to gather helpful advice for ECRs in self-management. Bielczyk et al.
Neuroimaging meta-analysis provides an exciting opportunity to evaluate consensus and generate new hypotheses using data mined from the published literature. This chapter provides a review of meta-analysis techniques available via the BrainMap Project, including activation likelihood estimation (ALE), independent component analysis (ICA), and clust...
Brainhack is an innovative meeting format that promotes scientific collaboration and education in an open, inclusive environment. This NeuroView describes the myriad benefits for participants and the research community and how Brainhacks complement conventional formats to augment scientific progress.
Collecting physiological data during fMRI experiments can improve fMRI data cleaning and contribute to our understanding of psychophysiological processes; however, these recordings are frequently fraught with artifacts from the MRI pulse sequence. Here, we look at manufacturer recommendations for filtering such artifacts from physiological data col...
The move from in-person to online scientific conferences due to the global health crisis has been hailed as a positive step towards inclusivity in its attenuation of economic, physical and legal barriers. Yet pre-existing and new challenges to truly inclusive conference experiences remain unaddressed. While acknowledging the benefits of an online s...
Brainhack is an innovative meeting format that promotes scientific collaboration and education in an open and inclusive environment. Departing from the formats of typical scientific workshops, these events are based on grassroots projects and training, and foster open and reproducible scientific practices. We describe here the multifaceted, lasting...
Academic performance relies, in part, on intelligence; however, intelligence quotient (IQ) is limited in predicting academic success. Furthermore, while the search for the biological seat of intelligence predates neuroscience itself, its findings remain conflicting. Here, we assess the interplay between IQ, academic performance, and brain connectiv...
Data analysis workflows in many scientific domains have become increasingly complex and flexible. Here we assess the effect of this flexibility on the results of functional magnetic resonance imaging by asking 70 independent teams to analyse the same dataset, testing the same 9 ex-ante hypotheses1. The flexibility of analytical approaches is exempl...
Background
Neurobiological differences linked to socioemotional and cognitive processing are well-documented in youth with disruptive behavior disorders (DBDs), especially youth with callous-unemotional (CU) traits. The current study expanded this literature by examining gray matter volume (GMV) differences among DBD youth with CU traits (DBDCU+),...
Reward learning is a ubiquitous cognitive mechanism guiding adaptive choices and behaviors, and when impaired, can lead to considerable mental health consequences. Reward-related functional neuroimaging studies have begun to implicate networks of brain regions essential for processing various peripheral influences (e.g., risk, subjective preference...
Anxiety is known to dysregulate the salience, default mode, and central executive networks of the human brain, yet this phenomenon has not been fully explored across the STEM learning experience, where anxiety can impact negatively academic performance. Here, we evaluated anxiety and large-scale brain connectivity in 101 undergraduate physics stude...
Understanding how students learn is crucial for helping them succeed. We examined brain function in 107 undergraduate students during a task known to be challenging for many students—physics problem solving—to characterize the underlying neural mechanisms and determine how these support comprehension and proficiency. Further, we applied module anal...
Data analysis workflows in many scientific domains have become increasingly complex and flexible. To assess the impact of this flexibility on functional magnetic resonance imaging (fMRI) results, the same dataset was independently analyzed by 70 teams, testing nine ex-ante hypotheses. The flexibility of analytic approaches is exemplified by the fac...
Reward learning is a ubiquitous cognitive mechanism guiding adaptive choices and behaviors, and when impaired, can lead to considerable mental health consequences. Reward-related functional neuroimaging studies have begun to implicate networks of brain regions essential for processing various peripheral influences (e.g., risk, subjective preference...
Physics is a challenging academic pursuit in which university students regularly struggle to achieve success. Female students tend to perform negatively on introductory physics conceptual assessments compared to their male peers; however, active-learning classroom curricula are known to broadly improve performance on these tests. Here, we used fMRI...
Understanding how students learn is crucial for helping them succeed. We examined brain function in 107 undergraduate students during a task known to be challenging for many students - physics problem solving - to characterize underlying neural mechanisms and determine how these support comprehension and proficiency. Further, we applied module anal...
Anxiety is known to dysregulate the salience, default mode, and central executive networks of the human brain, yet this phenomenon has not been fully explored across the STEM learning experience, where anxiety can impact negatively academic performance. Here, we evaluated anxiety and large-scale brain connectivity in 101 undergraduate physics stude...
Modeling Instruction (MI) for University Physics is a curricular and pedagogical approach to active learning in introductory physics. A basic tenet of science is that it is a model-driven endeavor that involves building models, then validating, deploying, and ultimately revising them in an iterative fashion. MI was developed to provide students a f...
Cognitive processes do not occur by pure insertion and instead depend on the full complement of co-occurring mental processes, including perceptual and motor functions. As such, there is limited ecological validity to human neuroimaging experiments that use highly controlled tasks to isolate mental processes of interest. However, a growing literatu...
Naturalistic fMRI paradigms offer increased ecological validity over traditional paradigms, addressing the gap left by studying highly interactive cognitive processes as isolated neural phenomena. This study identifies the connectional architecture supporting dynamic cognition in naturalistic fMRI paradigms, the first meta-analysis of a wide range...
Preliminary results of a data-driven meta-analytic exploration of NIMH RDoC Social Processing Domain using fMRI paradigms and network analytic techniques
In order to probe the utility of naturalistic experimental paradigms to cognitive neuroimaging research, we have explored patterns of brain activation across a diverse data set from published functional neuroimaging literature, we were able to amalgamate a diverse data set, representing the broad scope of mental functions evoked by realistic fMRI p...
Much of what was assumed about the functional topography of the hippocampus was derived from a single case study over half a century ago. Given advances in the imaging sciences, a new era of discovery is underway, with potential to transform the understanding of healthy processing as well as the ability to treat disorders. Coactivation-based parcel...
Projects
Projects (2)
Building personal networks is important for career-building across industries and especially so for early career researchers in academic and scientific spaces. In the past decade, an innovative meeting format has become more popular in the neuroimaging community, focusing on grassroots projects and training. In the face of a global pandemic, these events have moved online, bringing both new opportunities and challenges for building and maintaining a globally accessible community.
We are assessing neural networks underlying real-world behavior in naturalistic functional neuroimaging paradigms using quantitative meta-analytic and clustering techniques to analyze consistently recurring patterns of neural activity across the literature. Using functional decoding techniques based on both the naturalistic and the general neuroimaging literature, we hope to characterize these networks and assess their utility to ecologically valid behavior.
