Dissimilarity of functional connectivity uncovers the influence of participant's motion in functional magnetic resonance imaging studies

Yang, Lili; Wu, Bo; Fan, Lijun; Huang, Shi-Shi; Vigotsky, Andrew D.; Baliki, Marwan N.; Yan, Zhihan; Apkarian, A. Vania

doi:10.1002/hbm.25255

Cited by 9 publications

(7 citation statements)

References 33 publications

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“…The number of censored motion volumes after preprocessing reflects the extent of motion of a subject during scanning. Any subject with <120 remaining volumes was excluded, which guaranteed a minimum of 5-min-scanning images for FC analysis ( 29 ).…”

Section: Methodsmentioning

confidence: 99%

Brain Functional Topology Alteration in Right Lateral Occipital Cortex Is Associated With Upper Extremity Motor Recovery

et al. 2022

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Stroke is a chief cause of sudden brain damage that severely disrupts the whole-brain network. However, the potential mechanisms of motor recovery after stroke are uncertain and the prognosis of poststroke upper extremity recovery is still a challenge. This study investigated the global and local topological properties of the brain functional connectome in patients with subacute ischemic stroke and their associations with the clinical measurements. A total of 57 patients, consisting of 29 left-sided and 28 right-sided stroke patients, and 32 age- and gender-matched healthy controls (HCs) were recruited to undergo a resting-state functional magnetic resonance imaging (rs-fMRI) study; patients were also clinically evaluated with the Upper Extremity Fugl-Meyer Assessment (FMA_UE). The assessment was repeated at 15 weeks to assess upper extremity functional recovery for the patient remaining in the study (12 left- 20 right-sided stroke patients). Global graph topological disruption indices of stroke patients were significantly decreased compared with HCs but these indices were not significantly associated with FMA_UE. In addition, local brain network structure of stroke patients was altered, and the altered regions were dependent on the stroke site. Significant associations between local degree and motor performance and its recovery were observed in the right lateral occipital cortex (R LOC) in the right-sided stroke patients. Our findings suggested that brain functional topologies alterations in R LOC are promising as prognostic biomarkers for right-sided subacute stroke. This cortical area might be a potential target to be further validated for non-invasive brain stimulation treatment to improve poststroke upper extremity recovery.

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Section: Methodsmentioning

confidence: 99%

Brain Functional Topology Alteration in Right Lateral Occipital Cortex Is Associated With Upper Extremity Motor Recovery

et al. 2022

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“…Demographic and baseline clinical characteristics of both groups were summarized in Table 2 . For the RS-fMRI image quality, mFD of all subjects including HCs was less than 0.2 mm [41]; as shown in Supplementary Fig. 3 , a mixed model determined that there was no statistically significant difference in brain motion during scanning, represented by log (mFD), across the three assessments between the imVR and the Control groups ( p = 0.806).…”

Section: Resultsmentioning

confidence: 99%

“…For each subject, their degree map was generated from the brain FCN by calculating the number of functional links of each gray matter voxel. The links within two adjacent voxels were excluded due to the effect of motion [38, 41]. To compare degrees between the imVR and the Control groups, we used a general linear model (GLM) with degree at post-intervention and at follow-up, respectively, as the dependent variable, the two groups as the independent variable, baseline degree, age, sex, side of brain lesion, time since stroke, hypertension, diabetes, and mFD as confounds; family-wise cluster correction ( t value > 3.5, p < 0.01) [42] was applied afterward.…”

Section: Methodsmentioning

confidence: 99%

Effectiveness of immersive VR-based rehabilitation on upper extremity recovery in subacute stroke: a randomized controlled trial

Huang

Jiang

Jin

et al. 2022

Preprint

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Background and Purpose: Few effective treatments improve upper extremity (UE) function after stroke. Immersive Virtual Reality (imVR) is a novel and promising strategy for stroke UE recovery. However, research on immersive VR-based UE rehabilitation has been minimal. Here we present a randomized controlled trial to assess the effectiveness of imVR-based UE rehabilitation in patients with subacute stroke and explore the underlying brain network related to imVR-based rehabilitation. Methods: A single-blinded, randomized controlled trial was performed with 40 subjects randomly assigned to either the imVR or the control group (1:1 allocation), each receiving rehabilitation 5 times per week for 3 weeks. Subjects in the imVR group received both immersive VR and conventional rehabilitation, while those in the control group received conventional rehabilitation only. The Fugl-Meyer assessment's upper extremity subscale (FMA-UE) and the Barthel Index (BI) were our primary and secondary outcomes, respectively. Subjects received assessments and MRI scans at each of the following three time points: immediately after randomization (baseline, Week 0), immediately following conclusion of the randomized rehabilitation program (post-intervention, Week 3), and follow-up 12 weeks after completing the rehabilitation program (follow-up, Week 15). Brain functional connectivity (FC) and a parameter derived from it, degree, were used to assess the performance of immersive VR-based rehabilitation and to relate the change of brain activity to motor recovery. Results: Both intention-to-treat (ITT) and per-protocol (PP) analyses demonstrated the effectiveness of imVR-based UE rehabilitation on subacute stroke. The FMA-UE score was significantly greater in the imVR group compared with the control group at the post-intervention (mean difference: 9.11, 95% CI (1.57-16.64); p = 0.019 (ITT); 12.46, 95% CI (4.56 -20.36); p = 0.003 (PP)), and at the follow-up (mean difference:11.47, p = 0.020 (ITT); 18.85, 95% CI (6.01-31.69); p = 0.006 (PP)). The results were consistent for BI scores at the post-intervention (mean difference: 8.28, 95% CI (0.082-16.48); p = 0.048 (ITT); 9.77, 95% CI (0.58-18.95); p = 0.038 (PP)), and at the follow-up (mean difference: 4.81, 95% CI (0.85-8.77); p = 0.019 (ITT); 6.69, 95% CI (0.54-12.84); p = 0.034 for (PP)). Moreover, brain functional connectivity analysis found that the motor function improvements are significantly associated with a change in brain functional connectivity in ipsilesional premotor cortex and ipsilesional dorsolateral prefrontal cortex immediately following the intervention and in ipsilesional visual region and ipsilesional middle frontal gyrus after the 12-week follow-up. In addition, a significant increase in the motor recovery rate of the imVR group was observed between the baseline and post-intervention time points (p = 0.002). Conclusions: The imVR-based rehabilitation is an effective rehabilitation tool that can improve the recovery of UE functional capabilities of subacute stroke patients when added to standard care. These improvements are associated with distinctive brain reorganizations at two post-stroke timepoints. The study results will benefit future patients with stroke and may provide a new and better method of stroke rehabilitation.

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“…Next, denoising of the data was performed in Matlab (R2019a) using custom scripts to regress out the following noise regressors: five aCompCor principal components from both the segmented WM and CSF [ 59 ], 24 motion parameters (3 rotation, 3 translation, their derivatives and quadratic terms [ 60 ]; cosine filters (128 s cut off)—low-frequency signal drift—regressors, and spike regressors for each frame that exceeded a threshold of 0.5 mm FD [ 61 , 62 ].…”

Section: Participants and Methodsmentioning

confidence: 99%

Subtypes in addiction and their neurobehavioral profiles across three functional domains

et al. 2023

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Rates of return to use in addiction treatment remain high. We argue that the development of improved treatment options will require advanced understanding of individual heterogeneity in Substance Use Disorders (SUDs). We hypothesized that considerable individual differences exist in the three functional domains underlying addiction—approach-related behavior, executive function, and negative emotionality. We included N = 593 participants from the enhanced Nathan Kline Institute-Rockland Sample community sample (ages 18–59, 67% female) that included N = 420 Controls and N = 173 with past SUDs [54% female; N = 75 Alcohol Use Disorder (AUD) only, N = 30 Cannabis Use Disorder (CUD) only, and N = 68 Multiple SUDs]. To test our a priori hypothesis that distinct neuro-behavioral subtypes exist within individuals with past SUDs, we conducted a latent profile analysis with all available phenotypic data as input (74 subscales from 18 measures), and then characterized resting-state brain function for each discovered subtype. Three subtypes with distinct neurobehavioral profiles were recovered (p < 0.05, Cohen’s D: 0.4–2.8): a “Reward type” with higher approach-related behavior (N = 69); a “Cognitive type” with lower executive function (N = 70); and a “Relief type” with high negative emotionality (N = 34). For those in the Reward type, substance use mapped onto resting-state connectivity in the Value/Reward, Ventral-Frontoparietal and Salience networks; for the Cognitive type in the Auditory, Parietal Association, Frontoparietal and Salience networks; and for the Relief type in the Parietal Association, Higher Visual and Salience networks (pFDR < 0.05). Subtypes were equally distributed amongst individuals with different primary SUDs (χ2 = 4.71, p = 0.32) and gender (χ2 = 3.44, p = 0.18). Results support functionally derived subtypes, demonstrating considerable individual heterogeneity in the multi-dimensional impairments in addiction. This confirms the need for mechanism-based subtyping to inform the development of personalized addiction medicine approaches.

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Dissimilarity of functional connectivity uncovers the influence of participant's motion in functional magnetic resonance imaging studies

Cited by 9 publications

References 33 publications

Brain Functional Topology Alteration in Right Lateral Occipital Cortex Is Associated With Upper Extremity Motor Recovery

Brain Functional Topology Alteration in Right Lateral Occipital Cortex Is Associated With Upper Extremity Motor Recovery

Effectiveness of immersive VR-based rehabilitation on upper extremity recovery in subacute stroke: a randomized controlled trial

Subtypes in addiction and their neurobehavioral profiles across three functional domains

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