Functional network disruption in the degenerative dementias.
Functional network disruption in the degenerative dementias.
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DOI：
10.1016/s1474-4422(11)70158-2
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发表时间：
2011-09
期刊：
影响因子：
48
通讯作者：
Frisoni, Giovanni B.
中科院分区：
文献类型：
--
作者：
Pievani, Michela;de Haan, Willem;Wu, Tao;Seeley, William W.;Frisoni, Giovanni B.
尽管在理解神经退行性痴呆的分子病理生理学方面取得了相当大的进展，但将分子变化与神经病理以及后者与临床症状联系起来的机制在很大程度上仍然不清楚。连通性是大脑的一个显著特征，功能网络动态的完整性对正常功能至关重要。更好地了解神经退行性痴呆的网络破坏可能有助于弥合分子变化，病理和症状之间的差距。最近通过“静息状态”或内在连通性fMRI和EEG/MEG评估的功能性网络中断的研究结果显示，在主要的神经退行性疾病中，网络中断的模式截然不同。这些网络异常相对特定于临床综合征，在阿尔茨海默病和额颞叶痴呆中，网络破坏跟踪病理改变的模式。这些发现可能对诊断准确性有实际影响，甚至可以在症状前阶段早期发现神经退行性疾病，并跟踪疾病进展。
Despite considerable advances toward understanding the molecular pathophysiology of the neurodegenerative dementias, the mechanisms linking molecular changes to neuropathology and the latter to clinical symptoms remain largely obscure. Connectivity is a distinctive feature of the brain and the integrity of functional network dynamics is critical for normal functioning. A better understanding of network disruption in the neurodegenerative dementias may help bridge the gap between molecular changes, pathology and symptoms. Recent findings on functional network disruption as assessed with “resting-state” or intrinsic connectivity fMRI and EEG/MEG have shown distinct patterns of network disruption across the major neurodegenerative diseases. These network abnormalities are relatively specific to the clinical syndromes, and in Alzheimer's disease and frontotemporal dementia network disruption tracks the pattern of pathological changes. These findings may have a practical impact on diagnostic accuracy, allowing earlier detection of neurodegenerative diseases even at the pre-symptomatic stage, and tracking of disease progression.