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Jerzy Bodurka

Researcher at McGovern Institute for Brain Research

Publications -  185
Citations -  11609

Jerzy Bodurka is an academic researcher from McGovern Institute for Brain Research. The author has contributed to research in topics: Functional magnetic resonance imaging & Neurofeedback. The author has an hindex of 52, co-authored 176 publications receiving 9038 citations. Previous affiliations of Jerzy Bodurka include University of Tulsa & Medical College of Wisconsin.

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Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey

TL;DR: It is suggested that primate IT across species may host a common code, which combines a categorical and a continuous representation of objects.
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Unraveling multisensory integration: patchy organization within human STS multisensory cortex.

TL;DR: These studies suggest a functional architecture in which information from different modalities is brought into close proximity via a patchy distribution of inputs, followed by integration in the intervening cortex.
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Image processing and analysis methods for the Adolescent Brain Cognitive Development Study.

Donald J. Hagler, +144 more
- 15 Nov 2019 - 
TL;DR: The baseline neuroimaging processing and subject-level analysis methods used by the Adolescent Brain Cognitive Development Study are described to be a resource of unprecedented scale and depth for studying typical and atypical development.
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Major depressive disorder is associated with abnormal interoceptive activity and functional connectivity in the insula

TL;DR: Activity within the insula during the interoceptive attention task was negatively correlated with both depression severity and somatic symptom severity in depressed subjects, and major depressive disorder was associated with greater resting-state functional connectivity between the dmIC and limbic brain regions implicated previously in MDD.
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How long to scan? The relationship between fMRI temporal signal to noise ratio and necessary scan duration

TL;DR: This study showed that with voxel volumes of approximately 10 mm3 at 3 T, and a corresponding TSNR of approximately 50, the required number of time points that guarantees detection of signal changes of 1% is about 860, but if T SNR increases by only 20%, the time for detection decreases by more than 30%.