Applicability of the Sparse Temporal Acquisition Technique in Resting-State Brain Network Analysis

Yakunina, Natalia; Kim, T.S.; Tae, Woo Suk; Kim, S.S.; Nam, Eui-Cheol

doi:10.3174/ajnr.a4554

Cited by 12 publications

(7 citation statements)

References 22 publications

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“…Therefore, we cannot completely rule out that differences in insular connectivity patterns might have been biased by auditory processes in musicians and nonmusicians. However, this is unlikely as recent studies have not found between‐group differences in auditory network activation during resting state [Palomar‐García et al, ] nor when comparing standard continuous acquisition with sparse acquisition [Yakunina et al, ]. Another consideration concerns global signal removal.…”

Section: Discussionmentioning

confidence: 99%

Insula‐based networks in professional musicians: Evidence for increased functional connectivity during resting state fMRI

Zamorano

Cifré

Montoya

et al. 2017

Human Brain Mapping

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Despite considerable research on experience-dependent neuroplasticity in professional musicians, detailed understanding of an involvement of the insula is only now beginning to emerge. We investigated the effects of musical training on intrinsic insula-based connectivity in professional classical musicians relative to nonmusicians using resting-state functional MRI. Following a tripartite scheme of insula subdivisions, coactivation profiles were analyzed for the posterior, ventral anterior, and dorsal anterior insula in both hemispheres. While whole-brain connectivity across all participants confirmed previously reported patterns, between-group comparisons revealed increased insular connectivity in musicians relative to nonmusicians. Coactivated regions encompassed constituents of large-scale networks involved in salience detection (e.g., anterior and middle cingulate cortex), affective processing (e.g., orbitofrontal cortex and temporal pole), and higher order cognition (e.g., dorsolateral prefrontal cortex and the temporoparietal junction), whereas no differences were found for the reversed group contrast. Importantly, these connectivity patterns were stronger in musicians who experienced more years of musical practice, including also sensorimotor regions involved in music performance (M1 hand area, S1, A1, and SMA). We conclude that musical training triggers significant reorganization in insula-based networks, potentially facilitating high-level cognitive and affective functions associated with the fast integration of multisensory information in the context of music performance. Hum Brain Mapp 38:4834-4849, 2017. © 2017 Wiley Periodicals, Inc.

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Section: Discussionmentioning

confidence: 99%

Insula‐based networks in professional musicians: Evidence for increased functional connectivity during resting state fMRI

Zamorano

Cifré

Montoya

et al. 2017

Human Brain Mapping

View full text Add to dashboard Cite

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“…ICA is well suited even for sparse sampling data, as long as the samples are evenly spaced with regard to the TR (which was the case in our study). Moreover, ICA based on sparse sampling and continuously acquired data yielded highly consistent networks in a previous study [Yakunina et al, ]. Importantly, while univariate data analysis approaches are biased to detect effects in non‐lesioned regions (due to reduced statistical power in regions lesion overlap; [Meinzer et al, ; Price et al, ]), ICA offers a number of options to overcome this bias.…”

Section: Methodsmentioning

confidence: 99%

Transcranial direct current stimulation effects on neural processing in post‐stroke aphasia

Darkow

Martin

Würtz

et al. 2016

Human Brain Mapping

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Non-invasive transcranial direct current stimulation (tDCS) can enhance recovery after stroke. However, fundamental knowledge about how tDCS impacts neural processing in the lesioned human brain is currently lacking. In the present study, it was investigated how tDCS modulates brain function in patients with post-stroke language impairment (aphasia). In a cross-over, randomized trial, patients named pictures of common objects during functional magnetic resonance imaging (fMRI). Concurrently, excitatory (anodal-) or sham-tDCS (1 mA, 20 min, or 30 s, respectively) was administered to the left primary motor cortex, a montage with demonstrated potential to improve aphasic language. By choosing stimuli that could reliable be named by the patients, the authors aimed to derive a pure measure of stimulation effects that was independent of treatment or performance effects and to assess how tDCS interacts with the patients' residual language network. Univariate fMRI data analysis revealed reduced activity in domain-general regions mediating high-level cognitive control during anodal-tDCS. Independent component functional network analysis demonstrated selectively increased language network activity and an inter-correlated shift from higher to lower frequency bands, indicative of increased within-network communication. Compared with healthy controls, anodal-tDCS resulted in overall "normalization" of brain function in the patients. These results demonstrate for the first time how tDCS modulates neural processing in stroke patients. Such information is crucial to assure that behavioral treatments targeting specific neural circuits overlap with regions that are modulated by tDCS, thereby maximizing stimulation effects during therapy. Hum Brain Mapp 38:1518-1531, 2017. © 2016 Wiley Periodicals, Inc.

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“…Mean overall gray matter signal was not included as a confound as doing so shifted the whole brain connectivity distribution towards predominantly negative values. The data were detrended and a 0.01 to 0.1 Hz bandpass filter applied to remove low-frequency drifts and physiological high-frequency noise, consistent with previous research using connectivity analysis of sparse acquisition fMRI data (Yakunina et al, 2015). …”

Section: Methodsmentioning

confidence: 99%

Nicotine restores functional connectivity of the ventral attention network in schizophrenia

2016

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While previous work has suggested that nicotine may transiently improve attention deficits in schizophrenia, the neuronal mechanisms are poorly understood. This study is the first to examine the effects of nicotine on connectivity within the ventral attention network (VAN) during a selective attention task in schizophrenia. Using a crossover design, 17 nonsmoking patients with schizophrenia and 20 age/gender-matched nonsmoking healthy controls performed a go/no-go task with environmental noise distractors during application of a 7 mg nicotine or placebo patch. Psychophysiological interaction analysis was performed to analyze task-associated changes in connectivity between a ventral parietal cortex (VPC) seed and the inferior frontal gyrus (IFG), key components of the human VAN. Effects of nicotine on resting state VAN connectivity were also examined. A significant diagnosis X drug interaction was observed on task-associated connectivity between the VPC seed and the left IFG (F(1,35) = 8.03, p < 0.01). This effect was driven by decreased connectivity after placebo in patients and greater connectivity after nicotine. Resting state connectivity analysis showed a significant main effect of diagnosis between the seed and right IFG (F = 4.25, p = 0.023) due to increased connectivity in patients during placebo, but no drug X diagnosis interactions or main effects of drug. This study is the first to demonstrate that 1) the VAN is disconnected in schizophrenia during selective attention, and 2) nicotine may normalize this pathological state.

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Applicability of the Sparse Temporal Acquisition Technique in Resting-State Brain Network Analysis

Cited by 12 publications

References 22 publications

Insula‐based networks in professional musicians: Evidence for increased functional connectivity during resting state fMRI

Insula‐based networks in professional musicians: Evidence for increased functional connectivity during resting state fMRI

Transcranial direct current stimulation effects on neural processing in post‐stroke aphasia

Nicotine restores functional connectivity of the ventral attention network in schizophrenia

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