186 results match your criteria: "Center for BrainHealth[Affiliation]"

Multimodal predictive modeling: Scalable imaging informed approaches to predict future brain health.

J Neurosci Methods

February 2025

Tri-Institutional Center for Translational Research in Neuroimaging and Data Science(TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, 55 Park Pl NE, Atlanta, 30303, GA, USA.

Background: Predicting future brain health is a complex endeavor that often requires integrating diverse data sources. The neural patterns and interactions identified through neuroimaging serve as the fundamental basis and early indicators that precede the manifestation of observable behaviors or psychological states.

New Method: In this work, we introduce a multimodal predictive modeling approach that leverages an imaging-informed methodology to gain insights into future behavioral outcomes.

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Background: Cannabis policies and attitudes play a role in the development and presentation of cannabis use disorder (CUD), but it is unclear how these factors are related to biomarkers of addiction. The current study examined cross-cultural differences in cannabis attitudes, cannabis cue-reactivity in the brain and its associations with cannabis use measures and cannabis attitudes.

Design: Cross-sectional fMRI study.

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Paper lateral flow immunoassays combined with surface-enhanced Raman scattering (SERS) technology have gained increasing attention due to their high sensitivity characteristics resulting from the amplified SERS signals of the plasmon-enhanced optical probes. In contrast to conventional colorimetric lateral flow strips, SERS paper lateral flow strips (SERS-PLFSs) are currently not commercially available for widespread use. Analytical validation is the key step for commercialization.

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Aim: Physical activity (PA) is a key component for brain health and Reserve, and it is among the main dementia protective factors. However, the neurobiological mechanisms underpinning Reserve are not fully understood. In this regard, a noradrenergic (NA) theory of cognitive reserve (Robertson, 2013) has proposed that the upregulation of NA system might be a key factor for building reserve and resilience to neurodegeneration because of the neuroprotective role of NA across the brain.

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Multimodal Predictive Modeling: Scalable Imaging Informed Approaches to Predict Future Brain Health.

bioRxiv

May 2024

Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, 55 Park Pl NE, Atlanta, 30303, GA, USA.

Background: Predicting future brain health is a complex endeavor that often requires integrating diverse data sources. The neural patterns and interactions identified through neuroimaging serve as the fundamental basis and early indicators that precede the manifestation of observable behaviors or psychological states.

New Method: In this work, we introduce a multimodal predictive modeling approach that leverages an imaging-informed methodology to gain insights into future behavioral outcomes.

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Article Synopsis
  • The study reviews the last 25 years of functional magnetic resonance imaging drug cue reactivity (FDCR) research, highlighting the gap between findings and clinical applications as no FDCR-derived biomarkers have been approved yet.
  • The objective is to summarize FDCR research, evaluate its readiness for biomarker development, and propose a systematic process for qualifying these biomarkers in the context of addiction treatment.
  • Out of 415 published FDCR studies from 1998 to 2022, a significant number explored addictive substances like nicotine and alcohol, suggesting potential for developing various types of biomarkers related to addiction, though most studies mainly focused on therapeutic and diagnostic responses.
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A growing literature has shown that binaural beat (BB)-generated by dichotic presentation of slightly mismatched pure tones-improves cognition. We recently found that BB stimulation of either beta (18 Hz) or gamma (40 Hz) frequencies enhanced auditory sentence comprehension. Here, we used electroencephalography (EEG) to characterize neural oscillations pertaining to the enhanced linguistic operations following BB stimulation.

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The goal of precision brain health is to accurately predict individuals' longitudinal patterns of brain change. We trained a machine learning model to predict changes in a cognitive index of brain health from neurophysiologic metrics. A total of 48 participants (ages 21-65) completed a sensorimotor task during 2 functional magnetic resonance imaging sessions 6 mo apart.

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Investigating the link between regional oxygen metabolism and cognitive speed in multiple sclerosis: Implications for fatigue.

Mult Scler Relat Disord

December 2023

Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, USA; Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA. Electronic address:

Background: Most multiple sclerosis (MS) patients experience fatigue and cognitive decline but the underlying mechanisms remain unknown. Previous work has shown whole brain resting cerebral metabolic rate of oxygen (CMRO) is associated with the extent of these symptoms. However, it is not known if the association between global CMRO and MS-related cognitive speed and fatigue can be localized to specific brain regions.

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Exploring how brain health strategy training informs the future of work.

Front Psychol

September 2023

Center for BrainHealth®, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, United States.

Introduction: The workplace typically affords one of the longest periods for continued brain health growth. Brain health is defined by the World Health Organization (WHO) as the promotion of optimal brain development, cognitive health, and well-being across the life course, which we expanded to also include connectedness to people and purpose. This work was motivated by prior work showing individuals, outside of an aggregate setting, benefitted from training as measured by significant performance gains on a holistic BrainHealth Index and its factors (i.

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Novel Oppositional Defiant Disorder or Conduct Disorder 24 Months After Traumatic Brain Injury in Children and Adolescents.

J Neuropsychiatry Clin Neurosci

January 2024

Department of Psychiatry (Lowet, Max), Division of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health (Vaida), and Department of Radiology (Hesselink, Huang), University of California, San Diego, La Jolla; Department of Pediatrics (Ewing-Cobbs) and Department of Psychiatry and Behavioral Sciences (Saunders), University of Texas Health Science Center at Houston, Houston; Hospital for Sick Children, University of Toronto, Toronto (Schachar); Center for BrainHealth, University of Texas at Dallas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, TBI and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences (Yang), and Department of Radiology and Biomedical Imaging (Tymofiyeva), University of California, San Francisco; Rady Children's Hospital, San Diego (Max).

Objective: The authors sought to identify predictive factors of new-onset or novel oppositional defiant disorder or conduct disorder assessed 24 months after traumatic brain injury (TBI).

Methods: Children ages 5 to 14 years who had experienced TBI were recruited from consecutive hospital admissions. Soon after injury, participants were assessed for preinjury characteristics, including psychiatric disorders, socioeconomic status (SES), psychosocial adversity, and family function, and the presence and location of lesions were documented by MRI.

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A cross-cultural fMRI investigation of cannabis approach bias in individuals with cannabis use disorder.

Addict Behav Rep

December 2023

Neuroscience of Addiction (NofA) Lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.

Introduction: As cannabis policies and attitudes become more permissive, it is crucial to examine how the legal and social environment influence neurocognitive mechanisms underlying cannabis use disorder (CUD). The current study aimed to assess whether cannabis approach bias, one of the mechanisms proposed to underlie CUD, differed between environments with distinct recreational cannabis policies (Amsterdam, The Netherlands (NL) and Dallas, Texas, United States of America (TX)) and whether individual differences in cannabis attitudes affect those differences.

Methods: Individuals with CUD (NL-CUD: 64; TX-CUD: 48) and closely matched non-using controls (NL-CON: 50; TX-CON: 36) completed a cannabis approach avoidance task (CAAT) in a 3T MRI.

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Background: Adolescent substance use, externalizing and attention problems, and early life stress (ELS) commonly co-occur. These psychopathologies show overlapping neural dysfunction in the form of reduced recruitment of reward processing neuro-circuitries. However, it is unclear to what extent these psychopathologies show common different neural dysfunctions as a function of symptom profiles, as no studies have directly compared neural dysfunctions associated with each of these psychopathologies to each other.

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Physical activity (PA) is a key component for brain health and Reserve, and it is among the main dementia protective factors. However, the neurobiological mechanisms underpinning Reserve are not fully understood. In this regard, (Robertson, 2013) proposed that the upregulation of NA system might be a key factor for building reserve and resilience to neurodegeneration because of the neuroprotective role of NA across the brain.

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Background: The cognitive training Strategic Memory Advanced Reasoning Training (SMART) has been shown to improve symptoms of depression, anxiety, and stress when completed using in-person delivery, but mental health outcomes have not yet been studied for online delivery of SMART.

Methods: Data was analyzed from 145 generally healthy adults participating in the BrainHealth Project pilot study who had access to 12 weeks of online self-paced SMART and self-reported mental health symptoms on the Depression Anxiety Stress Scale (DASS-21) pre- and post-training. We utilized linear models to examine the change in self-reported symptoms of depression, anxiety, and stress following the 12-week training period and to explore the influence of age, gender, and education on changes in symptomatology.

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Novel Psychiatric Disorder 6 Months After Traumatic Brain Injury in Children and Adolescents.

J Neuropsychiatry Clin Neurosci

April 2023

Department of Psychiatry (Max), Division of Biostatistics & Bioinformatics, Herbert Wertheim School of Public Health (Vaida), and Department of Radiology (Hesselink), University of California, San Diego; Rady Children's Hospital, San Diego (Max); Taconic Hills High School, Craryville, New York (Drake); University of Texas Health Science Center at Houston (Ewing-Cobbs, Saunders); The Hospital for Sick Children, University of Toronto(Schachar); Center for BrainHealth, The University of Texas at Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences (Yang) and Department of Radiology and Biomedical Imaging (Tymofiyeva), University of California, San Francisco; Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Wilde, Levin).

Objective: To investigate the factors predictive of novel psychiatric disorders in the interval 0-6 months following traumatic brain injury (TBI).

Methods: Children ages 5-14 years consecutively hospitalized for mild to severe TBI at five hospitals were recruited. Participants were evaluated at baseline (soon after injury) for pre-injury characteristics including psychiatric disorders, socioeconomic status (SES), psychosocial adversity, family function, family psychiatric history, and adaptive function.

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Background: Cannabis is one of the most widely used substances in the world, with usage trending upward in recent years. However, although the psychiatric burden associated with maladaptive cannabis use has been well established, reliable and interpretable biomarkers associated with chronic use remain elusive. In this study, we combine large-scale functional magnetic resonance imaging with machine learning and network analysis and develop an interpretable decoding model that offers both accurate prediction and novel insights into chronic cannabis use.

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Investing in Late-Life Brain Capital.

Innov Aging

May 2022

IMPACT, the Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, Victoria, Australia.

Within many societies and cultures around the world, older adults are too often undervalued and underappreciated. This exacerbates many key challenges that older adults may face. It also undermines the many positive aspects of late life that are of tremendous value at both an individual and societal level.

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The epoch of adolescent brain development is an ideal time to train complex thinking skills, and middle schools provide an ideal environment to train and foster this acquisition. Unfortunately, few teachers are equipped with enough knowledge of the science of learning and evidence-based methodology, to ensure all students are given sufficient opportunity to develop their cognitive capacity to the fullest. Using our evidenced-based higher-order executive function training program, we trained current teachers to provide cognitive training to their students.

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A growing body of research has suggested that high levels of family functioning-often measured as positive parent-child communication and low levels of parental stress-are associated with stronger cognitive development, higher levels of school engagement, and more successful peer relations as youth age. The COVID-19 pandemic has brought tremendous disruption to various aspects of daily life, especially for parents of young children, ages 3-5, who face isolation, disconnection, and unprecedented changes to how they engage and socialize. Fortunately, both youth and parent brains are plastic and receptive to change.

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Neural-vascular coupling (NVC) is the process by which oxygen and nutrients are delivered to metabolically active neurons by blood vessels. Murine models of NVC disruption have revealed its critical role in healthy neural function. We hypothesized that, in humans, aging exerts detrimental effects upon the integrity of the neural-glial-vascular system that underlies NVC.

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Time for a paradigm shift: The adolescent brain in addiction treatment.

Neuroimage Clin

May 2022

Departments of Psychology and Interdisciplinary Neuroscience, University of Rhode Island, 130 Flagg Rd, Kingston, RI 02881 USA. Electronic address:

Objective: One route to improve adolescent addiction treatment outcomes is to use translational approaches to help identify developmental neuroscience mechanisms that undergird active treatment ingredients and advance adolescent behavior change.

Methods: This sample included 163 adolescents (ages 15-19) randomized to motivational interviewing (MI) vs. brief adolescent mindfulness (BAM).

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Article Synopsis
  • Cue reactivity is widely used in fMRI studies of substance use disorders, but inconsistencies in reporting participant characteristics and study design limit understanding and clinical application.* -
  • A Delphi study involving 45 experts aimed to create a checklist of 38 important methodological items for fMRI drug cue reactivity research, categorized into seven main areas.* -
  • A review of 108 recent FDCR studies found significant gaps in how these important items were reported, hindering the reproducibility and interpretability of research findings.*
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Divided attention at retrieval does not influence neural correlates of recollection in young or older adults.

Neuroimage

April 2022

Center for Vital Longevity and School of Behavioral and Brain Sciences, The University of Texas at Dallas, 1600 Viceroy Drive, Suite 800, Dallas, TX 75235, United States; School of Psychology, University of East Anglia, Norwich NR4 7TJ, United Kingdom.

Age-related decline in episodic memory has been partially attributed to older adults' reduced domain general processing resources. In the present study, we examined the effects of divided attention (DA) - a manipulation assumed to further deplete the already limited processing resources of older adults - on the neural correlates of recollection in young and older adults. Participants underwent fMRI scanning while they performed an associative recognition test in single and dual (tone detection) task conditions.

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Novel Oppositional Defiant Disorder 12 Months After Traumatic Brain Injury in Children and Adolescents.

J Neuropsychiatry Clin Neurosci

May 2022

Department of Psychiatry, University of California, San Diego (Lowet, Max), Herbert Wertheim School of Public Health, Division of Biostatistics and Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Department of Pediatrics, University of Texas Health Science Center, Houston (Ewing-Cobbs); Department of Psychiatry, University of Texas Health Science Center, Houston (Saunders); The Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max).

Objective: The investigators examined the factors predictive of novel oppositional defiant disorder in the 6-12 months following traumatic brain injury (TBI).

Methods: Children ages 5-14 years old who experienced a TBI were recruited from consecutive admissions to five hospitals. Participants were evaluated soon after injury (baseline) for preinjury characteristics, including psychiatric disorders, adaptive function, family function, psychosocial adversity, family psychiatric history, socioeconomic status, and injury severity, to develop a biopsychosocial predictive model for development of novel oppositional defiant disorder.

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