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Tamás Spisák

Researcher at University of Debrecen

Publications -  38
Citations -  558

Tamás Spisák is an academic researcher from University of Debrecen. The author has contributed to research in topics: Medicine & Resting state fMRI. The author has an hindex of 11, co-authored 32 publications receiving 356 citations. Previous affiliations of Tamás Spisák include University Hospital Bonn.

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Pain-free resting-state functional brain connectivity predicts individual pain sensitivity

TL;DR: A network pattern in the pain-free resting-state functional brain connectome that is predictive of interindividual differences in pain sensitivity is identified and validated and may have implications for translational research and the development and assessment of analgesic treatment strategies.
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Probabilistic TFCE: A generalized combination of cluster size and voxel intensity to increase statistical power.

TL;DR: The results suggest that pTFCE is more robust to various ground truth shapes and provides a stricter control over cluster “leaking” than TFCE and, in many realistic cases, further improves its sensitivity.
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Neurophysiology of juvenile myoclonic epilepsy: EEG-based network and graph analysis of the interictal and immediate preictal states

TL;DR: Interictal and preictal neuronal dysfunction has been described in terms of network dynamics and topography in JME patients, and Forthcoming investigations of seizure precipitation and therapeutic drug effects are encouraged.
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Meta-analysis of neural systems underlying placebo analgesia from individual participant fMRI data

TL;DR: In this article, the authors conducted a large-scale meta-analysis of individual data from fMRI studies of pain and placebo conditions, concluding that placebo treatments affect pain-related activity in multiple brain areas, which may reflect changes in nociception and other affective and decision-making processes surrounding pain.
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Autistic traits in neurotypical adults: correlates of graph theoretical functional network topology and white matter anisotropy patterns.

TL;DR: The finding of decreased efficiency supports the hypothesis that autistic traits are associated with the decrease of whole-brain local efficiency, although the only prominent effect was seen in the posterior limbic lobe, which is known to act as a connector hub.