Cognitive enhancement therapy (CET) for first-episode schizophrenia combines supportive therapy with social skills and cognitive remediation training. It includes exercises aimed at ameliorating cognitive and negative symptoms in a purposefully motivational format. In this treatment model, the clinician takes an active role as coach, teacher, and therapist in order to engage patients in skills-enhancing work matched to levels of illness and abilities. The therapeutic alliance allows for a safe environment to utilize principles of errorless learning and positive reinforcement. Although this strategy is best implemented in groups, it can be adapted to the individual mode of treatment. Skills-building exercises are described in sufficient detail to be useful to clinicians working with patients in the first years of schizophrenia.
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http://dx.doi.org/10.1521/bumc.68.3.213.40406 | DOI Listing |
Front Psychol
January 2025
Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Neuropsychology of Bari Institute, Bari, Italy.
Introduction: Cognitive symptoms are common in Parkinson's Disease (PD), and digital interventions like telerehabilitation other an accessible way to manage these symptoms. This study aimed to assess the effectiveness of a Home-Based Computerized Cognitive Training (HB-CCT) program in individuals with PD using a pilot randomized cross-over design.
Methods: Twenty-five participants (mean age 69.
Digit Health
January 2025
Department of Health Promotion, Maastricht University/CAPHRI, Maastricht, The Netherlands.
Background: The rapidly evolving nature of eHealth necessitates regular optimization and subsequent evaluation. Within the Dutch sexual health intervention Sense.info, we utilized a mixed-methods cyclic evaluation process to assess and optimize the potential impact of the chlamydia page.
View Article and Find Full Text PDFFront Neurosci
January 2025
The Basic Department, The Tourism College of Changchun University, Changchun, China.
Introduction: In the field of medical listening assessments,accurate transcription and effective cognitive load management are critical for enhancing healthcare delivery. Traditional speech recognition systems, while successful in general applications often struggle in medical contexts where the cognitive state of the listener plays a significant role. These conventional methods typically rely on audio-only inputs and lack the ability to account for the listener's cognitive load, leading to reduced accuracy and effectiveness in complex medical environments.
View Article and Find Full Text PDFAm J Neurodegener Dis
December 2024
School of Electrical Engineering, Iran University of Science and Technology Tehran, Iran.
Unlabelled: This study explores the concept of neural reshaping and the mechanisms through which both human and artificial intelligence adapt and learn.
Objectives: To investigate the parallels and distinctions between human brain plasticity and artificial neural network plasticity, with a focus on their learning processes.
Methods: A comparative analysis was conducted using literature reviews and machine learning experiments, specifically employing a multi-layer perceptron neural network to examine regression and classification problems.
Ann Neurosci
January 2025
National Resource Centre for Value Education in Engineering, Indian Institute of Technology, Delhi, India.
Background: Neural activity and subjective experiences indicate that breath-awareness practices, which focus on mindful observation of breath, promote tranquil calm and thoughtless awareness.
Purpose: This study explores the impact of tristage Ānāpānasati-based breath meditation on electroencephalography (EEG) oscillations and self-reported mindfulness states in novice meditators following a period of effortful cognition.
Methods: Eighty-nine novice meditators (82 males; Mean Age = 24.
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