Human Brain Mapping
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#1Chen Yuna (Guangzhou University of Chinese Medicine)
#2Zhen Zhou (UNC: University of North Carolina at Chapel Hill)H-Index: 7
Last. Jing Xia
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Type 2 diabetes mellitus (T2DM) is associated with cognitive impairment and may progress to dementia. However, the brain functional mechanism of T2DM-related dementia is still less understood. Recent resting-state functional magnetic resonance imaging functional connectivity (FC) studies have proved its potential value in the study of T2DM with cognitive impairment (T2DM-CI). However, they mainly used a mass-univariate statistical analysis that was not suitable to reveal the altered FC "pattern"...
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#1Thanh Van Phan (Katholieke Universiteit Leuven)
#2Diana M. Sima (Katholieke Universiteit Leuven)H-Index: 20
Last. Maaike Vandermosten (Katholieke Universiteit Leuven)H-Index: 20
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Primary education is the incubator for learning academic skills that help children to become a literate, communicative, and independent person. Over this learning period, nonlinear and regional changes in the brain occur, but how these changes relate to academic performance, such as reading ability, is still unclear. In the current study, we analyzed longitudinal T1 MRI data of 41 children in order to investigate typical cortical development during the early reading stage (end of kindergarten-en...
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#1Siyuan Gao (Yale University)H-Index: 8
#2Gal Mishne (UCSD: University of California, San Diego)H-Index: 7
Last. Dustin ScheinostH-Index: 45
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Large-scale brain dynamics are believed to lie in a latent, low-dimensional space. Typically, the embeddings of brain scans are derived independently from different cognitive tasks or resting-state data, ignoring a potentially large-and shared-portion of this space. Here, we establish that a shared, robust, and interpretable low-dimensional space of brain dynamics can be recovered from a rich repertoire of task-based functional magnetic resonance imaging (fMRI) data. This occurs when relying on ...
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#1Sarah Treit (U of A: University of Alberta)H-Index: 12
#2Nashwan Naji (U of A: University of Alberta)H-Index: 1
Last. Christian Beaulieu (U of A: University of Alberta)H-Index: 63
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Putative MRI markers of iron in deep gray matter have demonstrated age related changes during discrete periods of healthy childhood or adulthood, but few studies have included subjects across the lifespan. This study reports both transverse relaxation rate (R2*) and quantitative susceptibility mapping (QSM) of four primary deep gray matter regions (thalamus, putamen, caudate, and globus pallidus) in 498 healthy individuals aged 5-90 years. In the caudate, putamen, and globus pallidus, increases ...
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#1Montana McKewen (University of Newcastle)H-Index: 5
#2Patrick S. Cooper (Monash University)H-Index: 11
Last. Frini Karayanidis (University of Newcastle)H-Index: 34
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During task-switching paradigms, both event-related potentials and time-frequency analyses show switch and mixing effects at frontal and parietal sites. Switch and mixing effects are associated with increased power in broad frontoparietal networks, typically stronger in the theta band (~4-8 Hz). However, it is not yet known whether mixing and switch costs rely upon common or distinct networks. In this study, we examine proactive and reactive control networks linked to task switching and mixing e...
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#1Bernadette Hippmann (University of Lübeck)H-Index: 1
#2Elinor Tzvi (Leipzig University)H-Index: 7
Last. Sarah Jessen (University of Lübeck)H-Index: 15
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Motivational influences on cognitive control play an important role in shaping human behavior. Cognitive facilitation through motivators such as prospective reward or punishment is thought to depend on regions from the dopaminergic mesocortical network, primarily the ventral tegmental area (VTA), inferior frontal junction (IFJ), and anterior cingulate cortex (ACC). However, how interactions between these regions relate to motivated control remains elusive. In the present functional magnetic reso...
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#2E. MessaritakiH-Index: 25
Last. Derek K. Jones (Cardiff University)H-Index: 78
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A critical question in network neuroscience is how nodes cluster together to form communities, to form the mesoscale organisation of the brain. Various algorithms have been proposed for identifying such communities, each identifying different communities within the same network. Here, (using test-retest data from the Human Connectome Project), the repeatability of thirty-three community detection algorithms, each paired with seven different graph construction schemes were assessed. Repeatability...
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#1Abhishek Uday Patil (VIT University)H-Index: 2
#2Deepa Madathil (VIT University)H-Index: 2
Last. Chih-Mao Huang (AS: Academia Sinica)
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Internet addiction refers to problematic patterns of internet use that continually alter the neural organization and brain networks that control impulsive behaviors and inhibitory functions. Individuals with elevated tendencies to develop internet addiction represent the transition between healthy and clinical conditions and may progress to behavioral addictive disorders. In this network neuroscience study, we used resting-state functional magnetic resonance imaging (rs-fMRI) to examine how and ...
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#1Mark A. Hays (JHUSOM: Johns Hopkins University School of Medicine)
#2Christopher Coogan (JHUSOM: Johns Hopkins University School of Medicine)H-Index: 5
Last. Joon Y. Kang (JHUSOM: Johns Hopkins University School of Medicine)H-Index: 7
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It is now widely accepted that seizures arise from the coordinated activity of epileptic networks, and as a result, traditional methods of analyzing seizures have been augmented by techniques like single-pulse electrical stimulation (SPES) that estimate effective connectivity in brain networks. We used SPES and graph analytics in 18 patients undergoing intracranial EEG monitoring to investigate effective connectivity between recording sites within and outside mesial temporal structures. We compa...
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#1Matthew Moore (UIUC: University of Illinois at Urbana–Champaign)H-Index: 8
#2Edward L. Maclin (UIUC: University of Illinois at Urbana–Champaign)H-Index: 19
Last. Monica Fabiani (UIUC: University of Illinois at Urbana–Champaign)H-Index: 69
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The link between spatial (where) and temporal (when) aspects of the neural correlates of most psychological phenomena is not clear. Elucidation of this relation, which is crucial to fully understand human brain function, requires integration across multiple brain imaging modalities and cognitive tasks that reliably modulate the engagement of the brain systems of interest. By overcoming the methodological challenges posed by simultaneous recordings, the present report provides proof-of-concept ev...
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Top fields of study
Developmental psychology
Psychology
Neuroscience
Cognition
Functional magnetic resonance imaging
Brain mapping