AIMC Topic: Adult

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Decoding brain structure-function dynamics in health and in psychosis via an autoencoder.

Scientific reports
Understanding the intricate relationship between brain structure and function is a cornerstone challenge in neuroscience, critical for deciphering the mechanisms that underlie healthy and pathological brain function. In this work, we present a compre...

Generating synthetic task-based brain fingerprints for population neuroscience using deep learning.

Communications biology
Task-based functional magnetic resonance imaging (fMRI) reveals individual differences in neural correlates of cognition but faces scalability challenges due to cognitive demands, protocol variability, and limited task coverage in large datasets. Her...

A comprehensive feature importance analysis of surgical site infection following colorectal cancer surgery.

Scientific reports
Surgical site infection (SSI) after colorectal cancer (CRC) surgery is still a significant healthcare issue. This study aimed to analyze risk factor associated with SSI. A total of 528 consecutive CRC patients who underwent curative resections betwee...

Graph-theoretical analysis of EEG-based functional connectivity during emotional experience in virtual reality for emotion recognition.

Scientific reports
Virtual reality (VR) technologies can induce realistic emotions in controlled experimental settings, offering unprecedented opportunities to study how the human brain processes emotions under real-world conditions. The integration of VR experiences w...

Evaluation of Cancer Survivors' Experience of Using AI-Based Conversational Tools: Qualitative Study.

JMIR cancer
BACKGROUND: Cancer survivorship is a complicated, chronic, and long-lasting experience, causing uncertainty and a wide range of physical and emotional health concerns. Due to the complexity of cancer, patients often seek out multiple sources of healt...

Mapping neurophysiological and molecular profiles of heterogeneity and homogeneity in schizophrenia-bipolar disorder.

Science advances
The heterogeneity of psychotic disorders leads to instability in subjectively defined diagnoses. This study used a machine learning framework termed common orthogonal basis extraction (COBE) to decompose electroencephalography-based functional connec...

Multimodal prediction of psychotic-like experiences using elastic net modeling: external validation in a clinical sample.

Psychological medicine
BACKGROUND: Psychotic-like experiences (PLEs) are considered a subclinical component of psychosis continuum. Studies indicate that PLEs arise from multimodal factors, yet research comprehensively examining these factors together remains scarce. Using...

Applied machine learning for nociceptive pain detection using EEG spectral features.

Biomedical physics & engineering express
. This study explores a more reliable method for measuring nociceptive pain induced by laser stimuli from electroencephalography (EEG) signals, addressing the limitations of fixed pain scales by incorporating inter-individual variability in subjectiv...

MRI-based 2.5D deep learning and radiomics effectively predicted microvascular invasion and Ki-67 expression in hepatocellular carcinoma.

PloS one
OBJECTIVE: To develop and validate an integrated 2.5D deep learning (DL) and Radiomics model using gadoxetic acid-enhanced MRI hepatobiliary phase (HBP) images combined with clinical features for preoperative prediction of microvascular invasion (MVI...

Gender-specific effectiveness of dialectic-behavioral therapy for patients with complex post-traumatic stress disorder (DBT-PTSD) - results of an observational single center study.

European journal of psychotraumatology
Complex post-traumatic stress disorder (cPTSD) was recently included in the ICD-11, extending the PTSD symptom profile to encompass disturbances in self-organization (DSO). Trauma-focused Dialectical Behavior Therapy (DBT-PTSD) is an effective psych...