Behavior and Behavior Mechanisms Commons^™

Exploring The Neural Correlates Of Mindfulness-Based Interventions In Youth, Jovan Jande, Clara Zundel, Samantha Ely, Sneha Bhargava, Carmen Carpenter, Reem Tamimi, Leah Gowatch, Mackenna Shampine, Emilie-Clare O'Mara, Shravya Chanamolu, Hilary Marusak

Medical Student Research Symposium

Mindfulness based interventions (MBI) reduce the severity of anxiety and depression among a variety of populations. While the psychological benefits of MBIs are increasingly recognized, less is known about the underlying neural correlates—particularly during childhood and adolescence, a time when many psychopathologies begin to emerge. Here, we provide the first systematic review on the neural correlates of MBI in youth. We reviewed the PubMed database for original articles examining the neural correlates of MBI in youth (0-18 years) leveraging neuroimaging. The search yielded 331 studies, of which 13 were included in the review. These studies comprised 451 participants and were …

Specialized Late Cingulo-Opercular Network Activation Elucidates The Mechanisms Underlying Decisions About Ambiguity, Jordan E. Pierce, Nathan M. Petro, Elizabeth Clancy, Caterina Gratton, Steven E. Petersen, Maital Neta

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

Cortical task control networks, including the cingulo-opercular (CO) network play a key role in decision-making across a variety of functional domains. In particular, the CO network functions in a performance reporting capacity that supports successful task performance, especially in response to errors and ambiguity. In two studies testing the contribution of the CO network to ambiguity processing, we presented a valence bias task in which masked clearly and ambiguously valenced emotional expressions were slowly revealed over several seconds. This slow reveal task design provides a window into the decision-making mechanisms as they unfold over the course of a trial. In …

Specialized Late Cingulo-Opercular Network Activation Elucidates The Mechanisms Underlying Decisions About Ambiguity, Jordan E. Pierce, Nathan M. Petro, Elizabeth Clancy, Caterina Gratton, Steven E. Petersen, Maital Neta

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

Cortical task control networks, including the cingulo-opercular (CO) network play a key role in decision-making across a variety of functional domains. In particular, the CO network functions in a performance reporting capacity that supports successful task performance, especially in response to errors and ambiguity. In two studies testing the contribution of the CO network to ambiguity processing, we presented a valence bias task in which masked clearly and ambiguously valenced emotional expressions were slowly revealed over several seconds. This slow reveal task design provides a window into the decision-making mechanisms as they unfold over the course of a trial. In …

Glutamate, And Its Relationship To Task-Induced Functional Connectivity In The Human Brain: A Focus On Schizophrenia, Kathleen Liu Young, John Kopchick, Jeffrey Stanley, Vaibhav Diwadkar

Medical Student Research Symposium

Glutamate is the brain’s major excitatory neurotransmitter mediating both neuroplasticity and network function (Zhou & Danbolt, 2014). Basal glutamate (Glu) measured using proton magnetic resonance spectroscopy (1H-MRS) provides insight into a region’s density of neuropil related to the glutamatergic system. Moreover, given the role of glutamate in mediating brain network function, Glu levels may play a role in the brain’s functional connectivity (FC), which is typically estimated from functional magnetic resonance imaging (fMRI) time series data. These questions converge when considering the clinical syndrome of schizophrenia (SCZ). Patients with SCZ show abnormalities in basal Glu in the hippocampus and prefrontal …

Explicit And Implicit Emotion Processing In The Cerebellum: A Meta‑Analysis And Systematic Review, Jordan E. Pierce, Marine Thomasson, Philippe Voruz, Garance Selosse, Julie Péron

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

The cerebellum’s role in affective processing is increasingly recognized in the literature, but remains poorly understood, despite abundant clinical evidence for affective disruptions following cerebellar damage. To improve the characterization of emotion processing and investigate how attention allocation impacts this processing, we conducted a meta-analysis on task activation foci using GingerALE software. Eighty human neuroimaging studies of emotion including 2761 participants identified through Web of Science and ProQuest databases were analyzed collectively and then divided into two categories based on the focus of attention during the task: explicit or implicit emotion processing. The results examining the explicit emotion tasks identified …

Affective Flexibility As A Developmental Building Block Of Cognitive Reappraisal: An Fmri Study, Jordan E. Pierce, Eisha Haque, Maital Neta

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

Cognitive reappraisal is a form of emotion regulation that involves reinterpreting the meaning of a stimulus, often to downregulate one’s negative affect. Reappraisal typically recruits distributed regions of prefrontal and parietal cortex to generate new appraisals and downregulate the emotional response in the amygdala. In the current study, we compared reappraisal ability in an fMRI task with affective flexibility in a sample of children and adolescents (ages 6–17, N = 76). Affective flexibility was defined as variability in valence interpretations of ambiguous (surprised) facial expressions from a second behavioral task. Results demonstrated that age and affective flexibility predicted reappraisal ability, …

Deep-Learning-Based Multivariate Pattern Analysis (Dmvpa): A Tutorial And A Toolbox, Karl M. Kuntzelman, Jacob M. Williams, Phui Cheng Lim, Ashtok Samal, Prahalada K. Rao, Matthew R. Johnson

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

In recent years, multivariate pattern analysis (MVPA) has been hugely beneficial for cognitive neuroscience by making new experiment designs possible and by increasing the inferential power of functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and other neuroimaging methodologies. In a similar time frame, “deep learning” (a term for the use of artificial neural networks with convolutional, recurrent, or similarly sophisticated architectures) has produced a parallel revolution in the field of machine learning and has been employed across a wide variety of applications. Traditional MVPA also uses a form of machine learning, but most commonly with much simpler techniques based on …

Resting Cerebral Oxygen Metabolism Exhibits Archetypal Network Features, Nicholas A. Hubbard, Monroe P. Turner, Kevin R. Sitek, Kathryn L. West, Jakub R. Kaczmarzyk, Lyndahl Himes, Binu P. Thomas, Hanzhang Lu, Bart Rypma

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

Standard magnetic resonance imaging approaches offer high-resolution but indirect measures of neural activity, limiting understanding of the physiological processes associated with imaging findings. Here, we used calibrated functional magnetic resonance imaging during the resting state to recover low-frequency fluctuations of the cerebral metabolic rate of oxygen (CMRO2). We tested whether functional connections derived from these fluctuations exhibited organization properties similar to those established by previous standard functional and anatomical connectivity studies. Seventeen participants underwent 20 min of resting imaging during dual-echo, pseudocontinuous arterial spin labeling, and blood-oxygen-level dependent (BOLD) signal acquisition. Participants also underwent a 10 min normocapnic and hypercapnic …

Applying Machine Learning To Neuroimaging Data To Identify Predictive Models Of Reading Disorder (Rd), Spencer Low

Honors Scholar Theses

Over the last 20 years, advances in computational neuroimaging and computational power have made it feasible to create predictive models (Woo et al. Nature Neuroscience 2017). Predictive modeling is an approach that uses pattern recognition techniques (machine learning) to develop models using brain data to predict clini­cal (or educational) outcomes, differential diagnosis and subtyping, and inform development of new treatments (Doyle et al Royal Society 2015, Haynes Neuron 2015, Orrù et al. NBR 2012; Woo et al. Nature Neuroscience 2017). In recent years, machine learning algorithms have been implemented to develop a model (pattern classifier) using neuroimaging data to predict …

Neural Bases Of Phonological And Semantic Processing In Early Childhood, Avantika Mathur, Douglas H. Schultz, Yingying Wang Dr.

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

During the early period of reading development, children gain phonological (letter-to-sound mapping) and semantic knowledge (storage and retrieval of word meaning). Their reading ability changes rapidly, accompanied by learning-induced brain plasticity as they learn to read. This study aims at identifying the neural bases of phonological and semantic processing in early childhood by using a combination of univariate and multivariate pattern analysis. Nineteen typically developing children between the age of five and seven performed visual word-level phonological (rhyming) and semantic (related meaning) judgment tasks during functional magnetic resonance imaging scans. Our multivariate analysis showed that young children with good reading …

Neurophysiological Capacity In A Working Memory Task Differentiates Dependent From Nondependent Heavy Drinkers And Controls, Michael J. Wesley, Joshua A. Lile, Mark T. Fillmore, Linda J. Porrino

Behavioral Science Faculty Publications

Background—Determining the brain-behavior profiles that differentiate heavy drinkers who are and are not alcohol dependent will inform treatment efforts. Working memory is linked to substance use disorders and can serve as a representation of the demand placed on the neurophysiology associated with cognitive control.

Methods—Behavior and brain activity (via fMRI) were recorded during an N-Back working memory task in controls (CTRL), nondependent heavy drinkers (A-ND) and dependent heavy drinkers (A-D). Typical and novel step-wise analyses examined profiles of working memory load and increasing task demand, respectively.

Results—Performance was significantly decreased in A-D during high working memory load …

Neuroscience In Forensic Contexts: Ethical Concerns, Stephen J. Morse

All Faculty Scholarship

This is a chapter in a volume, Ethics Challenges in Forensic Psychiatry and Psychology Practice, edited by Ezra E. H. Griffith, M.D. and to be published by Columbia University Press. The chapter addresses whether the use of new neuroscience techniques, especially non-invasive functional magnetic resonance imaging (fMRI) and the data from studies employing them raise new ethical issues for forensic psychiatrists and psychologists. The implicit thesis throughout is that if the legal questions, the limits of the new techniques and the relevance of neuroscience to law are properly understood, no new ethical issues are raised. A major ethical lapse …

Differences In Prefrontal Cortex Activation And Deactivation During Strategic Episodic Verbal Memory Encoding In Mild Cognitive Impairment, Joana B. Balardin, Marcelo C. Batistuzzo, Maria Da Graca Moraes Martin, Joao R. Sato, Jerusa Smid, Claudia Porto, Cary R. Savage, Ricardo Nitrini, Edson Amaro Jr., Eliane C. Miotto

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

In this study we examined differences in fMRI activation and deactivation patterns during episodic verbal memory encoding between individuals with MCI (n = 18) and healthy controls (HCs) (n = 17). Participants were scanned in two different sessions during the application of self-initiated or directed instructions to apply semantic strategies at encoding of word lists. MCI participants showed reduced free recall scores when using self-initiated encoding strategies that were increased to baseline controls' level after directed instructions were provided. During directed strategic encoding, greater recruitment of frontoparietal regions was observed in both MCI and control groups; group differences …

Seeing With Sound: Investigating The Behavioural Applications And Neural Correlates Of Human Echolocation, Jennifer L. Milne

Electronic Thesis and Dissertation Repository

Some blind humans use the reflected echoes from self-produced signals to perceive their silent surroundings. Although the use of echolocation is well documented in animals such as bats and dolphins, comparatively little is known about human echolocation. The overarching goal of the work presented in this thesis was to shed light on some of the basic functions of human echolocation, including the perception of the shape, size, and material. I addressed these aspects of echolocation using behavioural psychophysics and neuroimaging.

In Chapter 2 I show that blind echolocators were able to accurately identify the shape of 2D objects, but that …

Winning And Losing: Differences In Reward And Punishment Sensitivity Between Smokers And Nonsmokers, Laura E. Martin, Lisa S. Cox, William M. Brooks, Cary R. Savage

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

Background: Smokers show increased brain activation in reward processing regions in response to smoking-related cues, yet few studies have examined secondary rewards not associated with smoking (i.e., money). Inconsistencies exist in the studies that do examine secondary rewards with some studies showing increased brain activation in reward processing brain regions, while others show decreased activation or no difference in activation between smokers and nonsmokers. Aims: The goal of the current study is to see if smokers process the evaluation and delivery of equally salient real world rewards similarly or differently than nonsmokers. Methods: The current study employed functional magnetic resonance …

Combined Erp/Fmri Evidence For Early Word Recognition Effects In The Posterior Inferior Temporal Gyrus, Joseph Dien, Eric S. Brian, Dennis L. Molfese, Brian T. Gold

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

Two brain regions with established roles in reading are the posterior middle temporal gyrus and the posterior fusiform gyrus. Lesion studies have also suggested that the region located between them, the posterior inferior temporal gyrus (pITG), plays a central role in word recognition. However, these lesion results could reflect disconnection effects since neuroimaging studies have not reported consistent lexicality effects in pITG. Here we tested whether these reported pITG lesion effects are due to disconnection effects or not using parallel ERP/fMRI studies. We predicted that the Recognition Potential (RP), a left-lateralized ERP negativity that peaks at about 200–250 ms, might …

Network Dynamics Of Visual Naming, Christopher R. Conner

Dissertations & Theses (Open Access)

Recognition and naming of objects and actions are fundamental components of language. They involve several different systems working in coordination to accomplish a complex behavior. During visual naming, sensory and semantic processing are carried out by dedicated cortical substrates in the temporal and occipital lobes, while response selection and articulatory planning are handled by prefrontal cortex. Despite decades of research using lesion analysis, functional MRI and electro-encephalography, the precise dynamics involved remain unknown due to the inadequate spatio-temporal resolution of these methodologies. Of particular interest is the organization of semantic knowledge and the degree of serial and parallel organization of …

Preliminary Evidence For Medication Effects On Functional Abnormalities In The Amygdala And Anterior Cingulate In Bipolar Disorder, Hilary P. Blumberg, Nelson H. Donegan, Charles A. Sanislow, Susan Collins, Cheryl Lacadie, Pawel Skudlarski, Ralitza Gueorguieva, Robert K. Fulbright, Thomas H. Mcglashan, John C. Gore, John H. Krystal

Charles A. Sanislow, Ph.D.

RATIONALE: Abnormal amygdala and frontocortical responses to emotional stimuli are implicated in bipolar disorder (BD) and have been proposed as potential treatment targets.

OBJECTIVES: The aim of this study was to investigate amygdala and frontocortical responses to emotional face stimuli in BD and the influences of mood-stabilizing medications on these responses.

METHODS: Functional magnetic resonance imaging was performed while 17 BD participants (5 unmedicated) and 17 healthy comparison (HC) participants viewed faces with happy, sad, fearful, or neutral expressions.

RESULTS: The group by stimulus-condition interaction was significant (p<0.01) for amygdala activation, with the greatest effects in the happy face condition. Relative to HC, amygdala increases were greater in unmedicated BD, but lower in medicated BD. Rostral anterior cingulate (rAC) activation was decreased in unmedicated BD compared to HC; however, BD participants taking medication demonstrated rAC activation similar to HC participants.

CONCLUSIONS: Although the sample sizes were small, these preliminary results suggest that …

Amygdala Hyperreactivity In Borderline Personality Disorder: Implications For Emotional Dysregulation, Nelson H. Donegan, Charles A. Sanislow, Hilary P. Blumberg, Robert K. Fulbright, Cheryl Lacadie, Pawel Skudlarski, John C. Gore, Ingrid R. Olson, Thomas H. Mcglashan, Bruce E. Wexler

Charles A. Sanislow, Ph.D.

BACKGROUND: Disturbed interpersonal relations and emotional dysregulation are fundamental aspects of borderline personality disorder (BPD). The amygdala plays important roles in modulating vigilance and generating negative emotional states and is often abnormally reactive in disorders of mood and emotion. The aim of this study was to assess amygdala reactivity in BPD patients relative to normal control subjects. We hypothesized that amygdala hyperreactivity contributes to hypervigilance, emotional dysregulation, and disturbed interpersonal relations in BPD.

METHODS: Using functional magnetic resonance imaging, we examined neural responses to 20-sec blocks of neutral, happy, sad, and fearful facial expression (or a fixation point) in 15 …