Longitudinal fMRI task reveals neural plasticity in default mode network with disrupted executive-default coupling and s
- PDF / 1,346,322 Bytes
- 13 Pages / 595.276 x 790.866 pts Page_size
- 32 Downloads / 185 Views
ORIGINAL RESEARCH
Longitudinal fMRI task reveals neural plasticity in default mode network with disrupted executive-default coupling and selective attention after traumatic brain injury Shun-Chin Jim Wu 1 & Lisanne M. Jenkins 2 & Alexandra C. Apple 2 & Julie Petersen 2 & Furen Xiao 3 & Lei Wang 2 & Fan-pei Gloria Yang 4
# Springer Science+Business Media, LLC, part of Springer Nature 2019
Abstract Executive dysfunctions are common in individuals with Traumatic Brain Injury (TBI). However, change in functional neural coupling of default and executive networks in the post-acute phase (≥ 1 month after injury) patients over time has yet to be understood. During a 5-week observation period, we examined changes in the goal-oriented executive function networks in 20 TBI participants, using a face/ scene matching 1-back fMRI task (Chen et al. 2011). We conducted multivariate pattern analysis to assess working memory and visual selective attention, followed by a repeat-measures ANOVA to examine longitudinal changes, with a cluster FDR at p = .001. Results showed that task accuracy significantly improved after follow-up. Significantly increased activity patterns over time were observed in the right dorsolateral prefrontal cortex and right insula. Decreased activity patterns were seen in the left posterior cingulate cortex (PCC), bilateral precuneus, right inferior occipital gyrus and right temporo-occipital junction. Improvement in task accuracy correlated with decreased activity patterns in the PCC (r = −0.478, p = 0.031) and temporo-occipital junction (r = −0.592, p = 0.006), which were interpreted as neural plastic changes. However, we did not observe the default mode network (DMN)-executive network decoupling during task performance that is found in other studies. These results suggest that fMRI of attentional task performance could serve as a potential biomarker for neural plasticity of selective attention in TBI patients in the post-acute phase. Keywords Executive function . Machine learning . Multivariate . Plasticity . Working memory
Introduction Traumatic brain injury (TBI) affects more than 42 million people every year worldwide (Gardner and Yaffe 2015) and
Lei Wang and Fan-pei Gloria Yang Equal contribution co-senior author. Electronic supplementary material The online version of this article (https://doi.org/10.1007/s11682-019-00094-8) contains supplementary material, which is available to authorized users. * Fan-pei Gloria Yang [email protected] 1
National Defense Medical Center, School of Medicine, Taipei, Taiwan
2
Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
3
National Taiwan University Hospital, Taipei, Taiwan
4
Center for Cognition & Mind Science, National Tsinghua University, No. 101, Section 2, Kuang-Fu Road, Hsinchu, Taiwan 30013
costs more than $76.5 billion in economic loss in the US alone (Nguyen et al. 2016). In Taiwan, as in other Asian countries, hospital care costs for TBI patients has increased by 19% in the las
Data Loading...
