← Back to all news
arXiv Machine Learning By Wan Jiang, Jingqi Cheng, Hui Zhang, Xu Zhao, Xiaojing Chen, Shengeng Tang, Jingjing Wu, Richang Hong

Normative Deviation Modeling for EEG-based Depression Detection

Read the original on arXiv Machine Learning →

The paper proposes using healthy normative references to improve EEG-based detection of major depressive disorder. Two diagnostic methods are introduced: Scalar-level Normative Deviation-guided Diagnosis (S‑NDD) and Feature-level Normative Deviation-guided Diagnosis (F‑NDD), both leveraging deviations from healthy EEG patterns and integrating them with deep representations. Experiments on two public datasets show that these approaches perform well in both subject-independent within-source and cross-source evaluations.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

Related stories

arXiv Computation and Language
2d ago

EEG-HealthLLM: Hierarchical Adaptation of Large Language Models for Unified Heterogeneous EEG Health Assessment

EEG-HealthLLM introduces a hierarchical adaptation framework that unifies heterogeneous EEG health assessments using large language models. Task‑specific EEG adapters preserve unique spatio‑temporal dynamics, while a shared LoRA module in the LLM backbone captures common high‑level assessment semantics. The new EEG‑HealthBench benchmark reorganizes five EEG datasets into five health‑assessment tasks, and experiments show EEG‑HealthLLM achieves the highest average balanced accuracy and macro‑F1, improving performance while reducing adapter size by 80%.

By Ruidong Ma, Jisheng Dang, Ronghao Lin, Bimei Wang, Jingwen Zhao, Wenjun Ma, Wei-Shi Zheng, Meng Wang, Qi Tian, Tat-Seng Chua
llmsfine-tuning
More like this →
arXiv Machine Learning
Jul 7

A Granularity-Aware EEG Feature Framework for Psychopathology Dimension Prediction

arXiv:2607. 02670v1 Announce Type: new Abstract: Electroencephalography (EEG) offers a noninvasive approach for examining neurophysiological correlates of dimensional psychopathology, yet systematic evidence across EEG paradigms and feature granularities remains limited.

By Haofan Cheng, Jingjing Hu, Jingrong Pei, Shuaiqi Fu, Meilun Shen, Shuai Fang, Meng Wang, Dan Guo, Jie Zhang
More like this →