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Brain structural connectomic topology predicts medication response in youth with bipolar disorder: A randomized clinical trial.
J Affect Disord
February 2025
Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati 45219, OH, USA.
Background: Response to pharmacotherapy varies considerably among youths with bipolar disorder (BD) and is poorly predicted by clinical or demographic features. It can take several weeks to determine whether medication for BD is clinically effective. Although neuroimaging biomarkers are promising predictors, few studies examined the predictive value of the brain connectomic topology.
View Article and Find Full Text PDFSeeing through "brain fog": neuroimaging assessment and imaging biomarkers for cancer-related cognitive impairments.
Cancer Imaging
November 2024
Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1750 Haygood Drive NE, Atlanta, Georgia, 30322, USA.
Advances in cancer diagnosis and treatment have substantially improved patient outcomes and survival in recent years. However, up to 75% of cancer patients and survivors, including those with non-central nervous system (non-CNS) cancers, suffer from "brain fog" or impairments in cognitive functions such as attention, memory, learning, and decision-making. While we recognize the impact of cancer-related cognitive impairment (CRCI), we have not fully investigated and understood the causes, mechanisms and interplays of various involving factors.
View Article and Find Full Text PDFExploring the relationship among Alzheimer's disease, aging and cognitive scores through neuroimaging-based approach.
Sci Rep
November 2024
School of Cyber Science and Engineering, Qufu Normal University, Qufu, 273165, People's Republic of China.
Alzheimer's disease (AD) is a fatal neurodegenerative disorder, with the Mini-Mental State Examination (MMSE) and Clinical Dementia Rating (CDR) serving significant roles in monitoring its progression. We hypothesize that while cognitive assessment scores can detect AD-related brain changes, the targeted brain regions may differ. Additionally, given AD's strong association with aging, we propose that specific brain regions are influenced by both AD pathology and aging, exhibiting strong correlations with both.
View Article and Find Full Text PDFVariation in Use of Neuroimaging in the Care of Infants Undergoing Subspecialty Evaluations for Abuse: A Multicenter Study.
Acad Pediatr
October 2024
Division of General Pediatrics (MK Henry), Clinical Futures, and Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Pediatrics (MK Henry), Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa. Electronic address:
Objectives: 1) To quantify hospital-level variation in use of neuroimaging to screen for intracranial injury (ICI) among infants without overt signs or symptoms of head trauma undergoing subspecialty evaluations for physical abuse; 2) to assess for disproportionality in neuroimaging based on race and ethnicity and insurance type.
Methods: This was a cross-sectional study of infants age <12 months receiving subspecialty child abuse evaluations from February 2021 to December 2022 at 10 sites in CAPNET, a multicenter child abuse research network. Infants were included if they underwent a skeletal survey and lacked overt signs of possible ICI or blunt head injury.
Enhancing Autism Spectrum Disorder identification in multi-site MRI imaging: A multi-head cross-attention and multi-context approach for addressing variability in un-harmonized data.
Artif Intell Med
November 2024
MANAS Lab, School of Computing and Electrical Engineering (SCEE), Indian Institute of Technology (IIT) Mandi, India.
Multi-site MRI imaging poses a significant challenge due to the potential variations in images across different scanners at different sites. This variability can introduce ambiguity in further image analysis. Consequently, the image analysis techniques become site-dependent and scanner-dependent, implying that adjustments in the analysis methodologies are necessary for each scanner configuration.
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