Dataset Information

Combining task-evoked and spontaneous activity to improve pre-operative brain mapping with fMRI.

ABSTRACT: Noninvasive localization of brain function is used to understand and treat neurological disease, exemplified by pre-operative fMRI mapping prior to neurosurgical intervention. The principal approach for generating these maps relies on brain responses evoked by a task and, despite known limitations, has dominated clinical practice for over 20years. Recently, pre-operative fMRI mapping based on correlations in spontaneous brain activity has been demonstrated, however this approach has its own limitations and has not seen widespread clinical use. Here we show that spontaneous and task-based mapping can be performed together using the same pre-operative fMRI data, provide complimentary information relevant for functional localization, and can be combined to improve identification of eloquent motor cortex. Accuracy, sensitivity, and specificity of our approach are quantified through comparison with electrical cortical stimulation mapping in eight patients with intractable epilepsy. Broad applicability and reproducibility of our approach are demonstrated through prospective replication in an independent dataset of six patients from a different center. In both cohorts and every individual patient, we see a significant improvement in signal to noise and mapping accuracy independent of threshold, quantified using receiver operating characteristic curves. Collectively, our results suggest that modifying the processing of fMRI data to incorporate both task-based and spontaneous activity significantly improves functional localization in pre-operative patients. Because this method requires no additional scan time or modification to conventional pre-operative data acquisition protocols it could have widespread utility.

SUBMITTER: Fox MD

PROVIDER: S-EPMC4831649 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

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Combining task-evoked and spontaneous activity to improve pre-operative brain mapping with fMRI.

Fox Michael D MD Qian Tianyi T Madsen Joseph R JR Wang Danhong D Li Meiling M Ge Manling M Zuo Huan-Cong HC Groppe David M DM Mehta Ashesh D AD Hong Bo B Liu Hesheng H

NeuroImage 20150925 Pt A

Noninvasive localization of brain function is used to understand and treat neurological disease, exemplified by pre-operative fMRI mapping prior to neurosurgical intervention. The principal approach for generating these maps relies on brain responses evoked by a task and, despite known limitations, has dominated clinical practice for over 20years. Recently, pre-operative fMRI mapping based on correlations in spontaneous brain activity has been demonstrated, however this approach has its own limi ...[more]

PMID: 26408860

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Project description:The mechanism underlying neurological dysfunction in chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) is yet to be established. This study investigated the temporal complexity of blood oxygenation level dependent (BOLD) changes in response to the Stroop task in CFS patients. 43 CFS patients (47.4?±?11.8?yrs) and 26 normal controls (NCs, 43.4?±?13.9?yrs) were included in this study. Their mental component summary (MCS) and physical component summary (PCS) from the 36-item Short Form Health Survey (SF-36) questionnaire were recorded. Their Stroop colour-word task performance was measured by accuracy and response time (RT). The BOLD changes associated with the Stroop task were evaluated using a 2-level general linear model approach. The temporal complexity of the BOLD responses, a measure of information capacity and thus adaptability to a challenging environment, in each activated region was measured by sample entropy (SampEn). The CFS patients showed significantly longer RTs than the NCs (P?<?0.05) but no significant difference in accuracy. One sample t-tests for the two groups (Family wise error adjusted PFWE?<?0.05) showed more BOLD activation regions in the CFS, although a two sample group comparison did not show significant difference. BOLD SampEns in ten regions were significantly lower (FDR-q?<?0.05) in CFS patients. BOLD SampEns in 15 regions were significantly associated with PCS (FDR-q?<?0.05) and in 9 regions were associated with MCS (FDR-q?<?0.05) across all subjects. SampEn of the BOLD signal in the medioventral occipital cortex could explain 40% and 31% of the variance in the SF-36 PCS and MCS scores, and those in the precentral gyrus could explain an additional 16% and 7% across all subjects. This is the first study to investigate BOLD signal SampEn in response to tasks in CFS. The results suggest the brain responds differently to a cognitive challenge in patients with CFS, with recruitment of wider regions to compensate for lower information capacity.

Dataset Information

Combining task-evoked and spontaneous activity to improve pre-operative brain mapping with fMRI.

Publications

Combining task-evoked and spontaneous activity to improve pre-operative brain mapping with fMRI.

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