相关实验视频

Updated: Jun 16, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

异常的大脑网络拓在青年与双相情感障碍的家族风险:一个基于任务的fMRI连接组研究研究

Nanfang Pan^1,2,3, Kun Qin^2,3, Luis R Patino³

¹Huaxi MR Research Center (HMRRC), Department of Radiology, Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China.

Journal of child psychology and psychiatry, and allied disciplines

|January 14, 2024

概括

患双相情感障碍 (BD) 的家族风险的年轻人表现出大脑连接的改变,特别是在默认模式网络 (DMN) 和视觉网络 (VN) 中. 这些神经成像生物标志物可能有助于识别需要针对情绪障碍进行有针对性的干预的个体.

科学领域:

神经科学是一个神经科学.
精神病学是一个精神病学.
医疗成像医学成像

背景情况:

患有双相情绪障碍 (BD) 的家庭病史的年轻人面临情绪障碍和抗抑郁药副作用的风险增加.
这些风险的神经生物学基础尚未得到充分理解.
识别生物标志物对于理解和减轻这些风险至关重要.

研究的目的:

确定与青少年双相情感障碍 (BD) 的家族风险相关的大脑连接体生物标志物.
与对照人群相比,在患有BD家族病史的症状青年中表征神经生物学差异.

主要方法:

功能性磁共振成像 (fMRI) 用于评估119名患有BD家族风险的症状青年和57名对照者的大脑连接体模式.
在情感任务期间进行了通用心理生理相互作用 (gPPI) 分析.
机器学习应用于大脑连接组的拓指标.

主要成果:

高风险青年在默认模式网络 (DMN) 中表现出较弱的连接性,在视觉网络 (VN) 中表现出异常强的连接性.
在高风险青少年的上额前 (SFG) 中观察到全球局部效率和聚类系数的增加.
在高风险组的胰岛和海马体中观察到变化的拓中心性 (程度,中间性).
一个机器学习分类器在区分病例和对照时实现了78.4%的交叉验证准确度.

结论:

在DMN和VN中异常的连接体组织提供了对BD风险背后的机制的洞察.
神经成像生物标志物,包括SFG中的网络隔离以及insula和海马体中改变的中心性,可以告知有针对性的干预.
这些发现可能有助于减轻青少年患有BD的脑部异常风险.

关键词:

双极性障碍是一种双极性障碍.功能磁力共振成像 (fMRI) 是一种家庭风险是家庭风险.功能性的连接体连接体.图形理论中的图形理论.心理和放射学学.

更多相关视频

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Published on: December 2, 2015

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

相关概念视频

Biological Causes of Schizophrenia

Biological Causes of Schizophrenia

Schizophrenia, a severe psychiatric disorder, arises from a complex interplay of biological factors, including genetic predisposition, structural brain abnormalities, neurotransmitter dysregulation, and developmental irregularities. These factors collectively contribute to the onset and progression of the disorder, which typically manifests in late adolescence or early adulthood.
Genetic Factors in Schizophrenia
The genetic basis of schizophrenia is strongly supported by family and twin studies.

Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).