Large scale networks for human hand-object interaction: Functionally distinct roles for two premotor regions identified intraoperatively

Publication date: Available online 24 September 2019Source: NeuroImageAuthor(s): Luciano Simone, Luca Fornia, Luca Viganò, Fabio Sambataro, Marco Rossi, Antonella Leonetti, Guglielmo Puglisi, Henrietta Howells, Andrea Bellacicca, Lorenzo Bello, Gabriella CerriThe development of awake intraoperative brain-mapping procedures for resection of brain tumors is of growing interest in neuroscience, because it enables direct testing of brain tissue, previously only possible in non-human primates. In a recent study performed in this setting specific effects can be induced by direct electrical stimulation on different sectors of premotor cortex during the execution of a hand manipulation task. Specifically, direct electrical stimulation applied on a dorsal sector of precentral cortex led to an increase in motor unit recruitment in hand muscles during execution of a hand manipulation task (Recruitment sector). The opposite effect was elicited when electrical stimulation was delivered more ventrally on the precentral cortex (Suppression sector). We studied whether the different effects on motor behavior induced by direct electrical stimulation applied on the two sites of the precentral cortex underlie differences in their functional connectivity with other brain areas, measured using resting state fMRI. Using healthy adults scanned as part of the Human Connectome Project, we computed the functional connectivity of each sector used as seeds. The functional connectivity patterns of ...
Source: NeuroImage - Category: Neuroscience Source Type: research

Related Links:

Authors: Tsiouris S, Bougias C, Fotopoulos A Abstract Cerebral gliomas comprise a heterogeneous group of primary neoplasms of the central nervous system, representing a significant cause of cancer morbidity and mortality. Contrast-enhanced magnetic resonance imaging (MRI) is paramount for identifying structural brain abnormalities related to the development of gliomas. Although morphological MRI remains the current standard of care for initial diagnostic workup, surgical planning, monitoring therapy response and surveillance during follow-up, it is rather difficult to define tumor grade and boundaries and to assess...
Source: Hellenic Journal of Nuclear Medicine - Category: Nuclear Medicine Tags: Hell J Nucl Med Source Type: research
Conclusions Combining information about intraoperative CST and DES in the iMRI can enhance resection in brain tumors (77% had a GTR). The relative relationship between the positions of the CST to the resection cavity can be a dynamic process that could further influence the surgeon's decision about the stimulation parameters and EOR. Also, the patients with an OS of the CST relative to the resection cavity had a GTR comparable with the other groups. [...] Georg Thieme Verlag KG Stuttgart · New YorkArticle in Thieme eJournals: Table of contents  |  Abstract  |  Full text
Source: Journal of Neurological Surgery Part A: Central European Neurosurgery - Category: Neurosurgery Authors: Tags: Surgical Technique Source Type: research
AbstractThe explosion of medical imaging data along with the advent of big data analytics has launched an exciting era for clinical research. One factor affecting the ability to aggregate large medical image collections for research is the lack of infrastructure for automated data annotation. Among all imaging modalities, annotation of magnetic resonance (MR) images is particularly challenging due to the non-standard labeling of MR image types. In this work, we aimed to train a deep neural network to annotate MR image sequence type for scans of brain tumor patients. We focused on the four most common MR sequence types with...
Source: Journal of Digital Imaging - Category: Radiology Source Type: research
ConclusionsThe phantom data show the validity of our fast distortion correction algorithm. Patient-specific data are acquired in
Source: Reports of Practical Oncology and Radiotherapy - Category: Cancer & Oncology Source Type: research
Authors: Suo F, Zhong B, Lu F, Dong Z Abstract Glioma is the most aggressive brain tumor and is associated with a high mortality rate. The aim of the present study was to explore the association between matrix metalloproteinase 2 (MMP-2) and ephrin type-A receptor 2 (EphA2) expression in glioma cells, and to investigate the contribution of magnetic resonance imaging (MRI) in glioma classification. A total of 43 patients with pathologically confirmed glioma were divided into two groups as follows: Low-grade (grades I and II; n=21) and high-grade (grades IV and IV; n=22). Subsequently, immunohistochemistry staining w...
Source: Oncology Letters - Category: Cancer & Oncology Tags: Oncol Lett Source Type: research
We report a case of DIG in a three-month-old boy who presented to our pediatric emergency department with decreased activity and excessive crying. This case report highlights the computed tomography (CT) and magnetic resonance imaging (MRI) findings of this rare tumor. Non-contrast CT scan findings in our case initially masqueraded as an extra-axial arachnoid cyst; however, the MRI findings after contrast agent administration were typical for the diagnosis of DIG. PMID: 31555425 [PubMed]
Source: Oman Medical Journal - Category: Middle East Health Tags: Oman Med J Source Type: research
CONCLUSION: 18F-FDOPA metabolic imaging is an aid in choosing the target to be biopsied under stereotactic conditions in tumors without MR enhancement. Nevertheless, despite good sensitivity, 18F-FDOPA PET is insufficient for definitive diagnosis of high-grade tumor. PMID: 31560911 [PubMed - as supplied by publisher]
Source: Neuro-Chirurgie - Category: Neurosurgery Authors: Tags: Neurochirurgie Source Type: research
CONCLUSION: Our results suggest that our algorithm can non-invasively predict the 1p/19q status of presumed LGG with a performance that on average outperformed the oncological neurosurgeons . Evaluation on an independent dataset indicates that our algorithm is robust and generalizable. PMID: 31548344 [PubMed - as supplied by publisher]
Source: Clinical Cancer Research - Category: Cancer & Oncology Authors: Tags: Clin Cancer Res Source Type: research
Authors: Ozaki T, Kinoshita M, Arita H, Kagawa N, Fujimoto Y, Kanemura Y, Sakai M, Watanabe Y, Nakanishi K, Shimosegawa E, Hatazawa J, Kishima H Abstract Brain Tumor Image Analysis (BraTumIA) is a fully automated segmentation tool dedicated to detecting brain tumors imaged by magnetic resonance imaging (MRI). BraTumIA has recently been applied to several clinical investigations; however, the validity of this novel method has not yet been fully examined. The present study was conducted to validate the quality of tumor segmentation with BraTumIA in comparison with results from 11C-methionine positron emission tomogra...
Source: Oncology Letters - Category: Cancer & Oncology Tags: Oncol Lett Source Type: research
Conclusions The introduced model for virtual gadolinium enhancement demonstrates a very good quantitative and qualitative performance. Future systematic studies in larger patient collectives with varying neurological disorders need to evaluate if the introduced virtual contrast enhancement might reduce GBCA exposure in clinical practice.
Source: Investigative Radiology - Category: Radiology Tags: Original Articles Source Type: research
More News: Brain | Brain Cancers | Brain Tumor | MRI Scan | Neurology | Neuroscience | PET Scan | Study