Presurgical localization and spatial shift of resting state networks in patients with brain metastases.
Brain metastases are the most prevalent cerebral tumors. Resting state networks (RSNs) are involved in multiple perceptual and cognitive functions. Therefore, precisely localizing multiple RSNs may be extremely valuable before surgical resection of metastases, to minimize neurocognitive impairments....
| Publicado en: | Brain Imaging & Behavior Vol. 13; no. 2; pp. 408 - 421 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Apr2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=136128849&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 136128849 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19317557 3GSC jtl: Brain Imaging & Behavior issn: 19317557 maglogo: N pubinfo: dt: Apr2019 vid: 13 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 136128849 136128849 NLM29611075 10.1007/s11682-018-9864-6 NLM29611075 136128849 ppf: 408 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Presurgical localization and spatial shift of resting state networks in patients with brain metastases. aug: au: Ding, Ju-Rong Zhu, Fangmei Hua, Bo Xiong, Xingzhong Wen, Yuqiao Ding, Zhongxiang Thompson, Paul M. affil: School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, People's Republic of China sug: subj: Brain Neoplasms Physiopathology Brain Physiopathology Magnetic Resonance Imaging Methods Brain Mapping Methods Female Reproducibility of Results Male Middle Age Adult Clinical Assessment Tools Scales Middle Aged: 45-64 years Adult: 19-44 years Female Male ab: Brain metastases are the most prevalent cerebral tumors. Resting state networks (RSNs) are involved in multiple perceptual and cognitive functions. Therefore, precisely localizing multiple RSNs may be extremely valuable before surgical resection of metastases, to minimize neurocognitive impairments. Here we aimed to investigate the reliability of independent component analysis (ICA) for localizing multiple RSNs from resting-state functional MRI (rs-fMRI) data in individual patients, and further evaluate lesion-related spatial shifts of the RSNs. Twelve patients with brain metastases and 14 healthy controls were recruited. Using an improved automatic component identification method, we successfully identified seven common RSNs, including: the default mode network (DMN), executive control network (ECN), dorsal attention network (DAN), language network (LN), sensorimotor network (SMN), auditory network (AN) and visual network (VN), in both individual patients and controls. Moreover, the RSNs in the patients showed a visible spatial shift compared to those in the controls, and the spatial shift of some regions was related to the tumor location, which may reflect a complicated functional mechanism - functional disruptions and reorganizations - caused by metastases. Besides, higher cognitive networks (DMN, ECN, DAN and LN) showed significantly larger spatial shifts than perceptual networks (SMN, AN and VN), supporting a functional dichotomy between the two network groups even in pathologic alterations associated with metastases. Overall, our findings provide evidence that ICA is a promising approach for presurgical localization of multiple RSNs from rs-fMRI data in individual patients. More attention should be paid to the spatial shifts of the RSNs before surgical resection. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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