Objective: Generalized anxiety disorder (GAD) is a prevalent and debilitating psychiatric condition of adolescence. Two effective forms of treatment are cognitive behavioral therapy (CBT) and selective serotonin reuptake inhibitors (SSRIs). This pilot study examined changes in brain function following each type of treatment in GAD.
Method: Subjects were 14 youths with GAD (7 had CBT, 7 received fluoxetine) and 10 age- and gender-matched healthy peers. Functional magnetic resonance imaging (fMRI) scans were acquired before and after treatment for patients and over two comparable time points for controls. During fMRI acquisition, a probe detection task with emotional (angry, happy) and neutral faces allowed for assessment of neural response to threat. Following previous research, region of interest analyses were performed in the right ventrolateral prefrontal cortex (VLPFC).
Results: fMRI results showed increased right VLPFC activation, relative to controls, in the medication (t(15) = 3.01, p < 0.01) and CBT (t(15) = 3.22, p < 0.01) groups following treatment.
Conclusions: This study shows significant increase in right VLPFC activation in response to angry faces following treatment with CBT or fluoxetine for GAD. This is consistent with previous research indicating that the VLPFC may facilitate effective responding to underlying neural correlates of anxiety in other brain regions, such as the amygdala.
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http://dx.doi.org/10.1089/cap.2009.0049 | DOI Listing |
Mol Psychiatry
January 2025
Siena Brain Investigation and Neuromodulation Lab, Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Ketamine, a dissociative compound, shows promise in treating mood disorders, including treatment-resistant depression (TRD) and bipolar disorder (BD). Despite its therapeutic potential, the neurophysiological mechanisms underlying ketamine's effects are not fully understood. This study explored acute neurophysiological changes induced by subanesthetic doses of ketamine in BD patients with depression using electroencephalography (EEG) biomarkers.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
Single Molecule Analysis Group, Department of Chemistry, The University of Michigan, Ann Arbor, Michigan 48109, United States.
Single-molecule fluorescence resonance energy transfer (smFRET) has emerged as a pivotal technique for probing biomolecular dynamics over time at nanometer scales. Quantitative analyses of smFRET time traces remain challenging due to confounding factors such as low signal-to-noise ratios, photophysical effects such as bleaching and blinking, and the complexity of modeling the underlying biomolecular states and kinetics. The dynamic distance information shaping the smFRET trace powerfully uncovers even transient conformational changes in single biomolecules both at or far from equilibrium, relying on trace idealization to identify specific interconverting states.
View Article and Find Full Text PDFJ Psychiatr Res
January 2025
Endocrinology and Nutrition Department, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí I3PT, Medicine Department, Universitat Autònoma de Barcelona, 08208, Sabadell, Spain.
Individuals with Prader Willi syndrome (PWS) often exhibit behavioral difficulties characterized by deficient impulse regulation and obsessive-compulsive features resembling those observed in obsessive-compulsive disorder. The genetic configuration of PWS aligns with molecular and neurophysiological findings suggesting dysfunction in the inhibitory gamma-aminobutyric acid (GABA) interneuron system may contribute to its clinical manifestation. In the cerebral cortex, this dysfunction is expressed as desynchronization of local neural activity.
View Article and Find Full Text PDFPhys Med Biol
January 2025
Department of Nuclear Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea (the Republic of).
This study aims to enhance positron emission tomography (PET) imaging systems by developing a continuous depth-of-interaction (DOI) measurement technique using a single-ended readout. Our primary focus is on reducing the number of readout channels in the scintillation detectors while maintaining accurate DOI estimations, using a high-pass filter-based signal multiplexing technique combined with artificial neural networks (ANNs). Approach: Instead of reading out all 64 signals from an 8×8 silicon photomultiplier array for DOI estimation, the proposed method technique reduces the signals into just four channels by applying high-pass filters with different time constants.
View Article and Find Full Text PDFJ Clin Nurs
January 2025
School of Nursing, Jinan University, Guangzhou, Guangdong, China.
Aim: To develop a deep learning-based smart assessment model for pressure injury surface.
Design: Exploratory analysis study.
Methods: Pressure injury images from four Guangzhou hospitals were labelled and used to train a neural network model.
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