Crossing the Bar of 'Self'-A Hypothesis-Generating Value-Based Framework for Dementia Risk and Resilience.

IF 3.3 4区 医学 Q3 NEUROSCIENCES
Souvik Dubey, Mahua Jana Dubey, Samya Sengupta, Shambaditya Das, Ritwik Ghosh, Subhankar Chatterjee, Julián Benito-León
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引用次数: 0

Abstract

Contemporary neuroscience increasingly conceptualizes the self as a dynamic neurocognitive process supported by interacting cortical hubs and large-scale networks. In this Opinion, we introduce self-configuration as a provisional, hypothesis-generating construct: a time-bounded, context-sensitive pattern across self-referential appraisal, interoceptive monitoring, autobiographical framing, and self-other orientation. It is not a validated scale, diagnosis, or neural biomarker and must be distinguished empirically from established constructs such as trait neuroticism, rumination, depressive symptoms, and self-transcendence. We use a heuristic continuum between a rigid, self-focused pole and a flexible, prosocial pole. Evidence supports the component psychological processes and network functions, but no study has directly linked the integrated construct to dementia risk or resilience. Accordingly, regional mappings, disease-specific emphases, and candidate manipulations are presented as falsifiable hypotheses rather than mechanisms or clinical recommendations. The framework is intended to guide multimethod construct validation and longitudinal or experimental testing, not to represent an evidence-based model of dementia risk or prevention.

跨越“自我”的门槛——痴呆风险和恢复力的假设生成价值框架。
当代神经科学越来越多地将自我概念化为一个动态的神经认知过程,由相互作用的皮质中心和大规模网络支持。在本意见中,我们将自我配置作为一种临时的、产生假设的结构:一种跨越自我参照评价、内感受监测、自传体框架和自我-他者取向的有时间限制的、上下文敏感的模式。它不是一个有效的量表、诊断或神经生物标志物,必须从经验上与已建立的结构(如特质神经质、反刍、抑郁症状和自我超越)区分开来。我们在刚性的、自我关注的极点和灵活的、亲社会的极点之间使用启发式连续体。证据支持组成心理过程和网络功能,但没有研究直接将综合结构与痴呆风险或恢复力联系起来。因此,区域映射、疾病特异性重点和候选操作被提出为可证伪的假设,而不是机制或临床建议。该框架旨在指导多方法结构验证和纵向或实验测试,而不是代表痴呆风险或预防的循证模型。
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来源期刊
CiteScore
2.80
自引率
5.60%
发文量
173
审稿时长
2 months
期刊介绍: JIN is an international peer-reviewed, open access journal. JIN publishes leading-edge research at the interface of theoretical and experimental neuroscience, focusing across hierarchical levels of brain organization to better understand how diverse functions are integrated. We encourage submissions from scientists of all specialties that relate to brain functioning.
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