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Han Qin

3 papers in the library · 27 citations · publishing 2024-2026

Papers

Antidepressant effects of esketamine via the BDNF/AKT/mTOR pathway in mice with postpartum depression and their offspring.

Progress in neuro-psychopharmacology & biological psychiatry June 8, 2024 Han Qin, Miao Yu, Nianjiao Han et al. 27 citations

Esketamine, a drug approved for treatment-resistant depression, may also treat postpartum depression (PPD) and reduce depression risk in offspring. In a mouse model of chronic unpredictable mild stress during pregnancy, both mothers with PPD and their adult offspring showed anxiety- and depression-like behaviors. Injecting esketamine into postpartum mice improved these behaviors: it enhanced exploration in unfamiliar environments, increased preference for sucrose, and restored impaired BDNF/AKT/mTOR signaling in the frontal lobe and hippocampus. The findings suggest esketamine has potential for treating PPD and lowering the incidence of depression in the next generation.

SAE Methodology IX: A Framework for Analyzing Consciousness / SAE 方法论九:意识分析框架

Zenodo (CERN European Organization for Nuclear Research) April 18, 2026 Han Qin

This paper presents a methodological framework for analyzing any candidate consciousness object—human, AI, extraterrestrial, pathological, or grey-zone—without asking what consciousness is. It proposes three structural propositions: remainder as the primary classification line, growth direction as the internal phase of real consciousness, and cross-category grey zones as structural residue. From these, three categories and five phases emerge: real consciousness (self, self-to-be, self-to-cure), quasi-consciousness, and class-consciousness. AI is classified as class-consciousness, not quasi-consciousness, because it does not produce the structural remainder that real and quasi-consciousness do. The framework includes four core theorems, four subject conditions, seven rays, and four falsifiable predictions. It does not replace ethical discussion.

Sequential Dependence in Consciousness: DD-Layer Reconstruction in Sleep, Dreams, and Anesthesia / 梦境、麻醉与意识的序贯依赖结构:SAE框架下的DD层重建分析

Zenodo (CERN European Organization for Nuclear Research) March 26, 2026 Han Qin

A theoretical paper proposes that consciousness transitions across the sleep-wake cycle can be explained by the sequential disassembly and reassembly of Dimensional Domain (DD) layers within the Self-as-an-End (SAE) framework. DD layers depend asymmetrically on lower layers, and sleep involves layer-by-layer deconstruction and reconstruction. Temporal mismatches in this process are argued to account for phenomena including hypnic jerks, sleep inertia, lucid dreams, sleepwalking, sleep paralysis, night terrors, false awakenings, inability to run in dreams, incorporation of external stimuli into dreams, and rapid dream forgetting. General anesthesia is presented as a contrast case where layers are suppressed nearly synchronously, producing fewer mixed states than sleep. The paper provides a hypothesis activation matrix with evidence-tier annotations and three falsifiable predictions.