Migration of cerebral sparganosis to the ipsilateral cerebellar hemisphere

2009 ◽  
Vol 54 (3) ◽  
Author(s):  
Ki Eom ◽  
Tae Kim

AbstractWe report the case of a 52-year-old man in whom multiple conglomerated ring-enhanced lesions in the left frontal lobe were revealed on magnetic resonance imaging (MRI); further, he presented with headache. Subtotal resection of the mass was performed and the histopathological diagnosis of gemistocytic astrocytoma was made. He received postoperative radiotherapy of remnant mass. Six months post-surgery, new multiple lesions were developed on the left cerebellum and the lesion yielded radiological findings that were quite similar to those of the lesion previously observed in the left frontal lobe. Total resection was performed with the aid of neuronavigation and a live yellow 10-cm-long worm with an active scolex was found. A pathologist identified the worm as a sparganum of Spirometra mansoni. This suggests that the live worm may have moved to the ipsilateral cerebellum due to the stimulus from the surgery and radiation on the frontal lobe. Although this case presented characteristic MRI findings of sparganosis, we did not conduct a serological test; therefore, we misdiagnosed sparganosis as gemistocytic astrocytoma. To the best of our knowledge, this is the first report of the ipsilateral transtentorial migration of cerebral sparganosis.

Author(s):  
Qin Tao ◽  
Yajing Si ◽  
Fali Li ◽  
Peiyang Li ◽  
Yuqin Li ◽  
...  

Decision response and feedback in gambling are interrelated. Different decisions lead to different ranges of feedback, which in turn influences subsequent decisions. However, the mechanism underlying the continuous decision-feedback process is still left unveiled. To fulfill this gap, we applied the hidden Markov model (HMM) to the gambling electroencephalogram (EEG) data to characterize the dynamics of this process. Furthermore, we explored the differences between distinct decision responses (i.e. choose large or small bets) or distinct feedback (i.e. win or loss outcomes) in corresponding phases. We demonstrated that the processing stages in decision-feedback process including strategy adjustment and visual information processing can be characterized by distinct brain networks. Moreover, time-varying networks showed, after decision response, large bet recruited more resources from right frontal and right center cortices while small bet was more related to the activation of the left frontal lobe. Concerning feedback, networks of win feedback showed a strong right frontal and right center pattern, while an information flow originating from the left frontal lobe to the middle frontal lobe was observed in loss feedback. Taken together, these findings shed light on general principles of natural decision-feedback and may contribute to the design of biologically inspired, participant-independent decision-feedback systems.


2021 ◽  
pp. 155005942110636
Author(s):  
Francesco Carlo Morabito ◽  
Cosimo Ieracitano ◽  
Nadia Mammone

An explainable Artificial Intelligence (xAI) approach is proposed to longitudinally monitor subjects affected by Mild Cognitive Impairment (MCI) by using high-density electroencephalography (HD-EEG). To this end, a group of MCI patients was enrolled at IRCCS Centro Neurolesi Bonino Pulejo of Messina (Italy) within a follow-up protocol that included two evaluations steps: T0 (first evaluation) and T1 (three months later). At T1, four MCI patients resulted converted to Alzheimer’s Disease (AD) and were included in the analysis as the goal of this work was to use xAI to detect individual changes in EEGs possibly related to the degeneration from MCI to AD. The proposed methodology consists in mapping segments of HD-EEG into channel-frequency maps by means of the power spectral density. Such maps are used as input to a Convolutional Neural Network (CNN), trained to label the maps as “T0” (MCI state) or “T1” (AD state). Experimental results reported high intra-subject classification performance (accuracy rate up to 98.97% (95% confidence interval: 98.68–99.26)). Subsequently, the explainability of the proposed CNN is explored via a Grad-CAM approach. The procedure allowed to detect which EEG-channels (i.e., head region) and range of frequencies (i.e., sub-bands) resulted more active in the progression to AD. The xAI analysis showed that the main information is included in the delta sub-band and that, limited to the analyzed dataset, the highest relevant areas are: the left-temporal and central-frontal lobe for Sb01, the parietal lobe for Sb02, the left-frontal lobe for Sb03 and the left-frontotemporal region for Sb04.


2002 ◽  
Vol 8 (5) ◽  
pp. 607-622 ◽  
Author(s):  
Bruce Crosson ◽  
M. Allison Cato ◽  
Joseph R. Sadek ◽  
Didem Gökçay ◽  
Russell M. Bauer ◽  
...  

AbstractPrevious studies showed that cortex in the anterior portions of the left frontal and temporal lobes participates in generating words with emotional connotations and processing pictures with emotional content. If these cortices process the semantic attribute of emotional connotation, they should be active whenever processing emotional connotation, without respect to modality of input or mode of output. Thus, we hypothesized that they would activate during monitoring of words with emotional connotations. Sixteen normal subjects performed semantic monitoring of words with emotional connotations, animal names, and implement names during fMRI. Cortex in the anterior left frontal lobe demonstrated significant activity for monitoring words with emotional connotations compared to monitoring tone sequences, animal names, or implement names. Together, the current and previous results implicate cortex in the anterior left frontal lobe in semantic processing of emotional connotation, consistent with connections of this cortex to paralimbic association areas. Current findings also indicate that neural substrates for processing emotional connotation are independent of substrates for processing the categories of living and nonliving things.


2006 ◽  
Vol 257 (3) ◽  
pp. 149-152 ◽  
Author(s):  
Seiji Hama ◽  
Hidehisa Yamashita ◽  
Masaya Shigenobu ◽  
Atsuko Watanabe ◽  
Kaoru Kurisu ◽  
...  

2021 ◽  
Vol 12 (3) ◽  
pp. 93-100
Author(s):  
V. S. Khalilov ◽  
A. N. Kislyakov ◽  
T. V. Basalay ◽  
A. V. Levov ◽  
A. A. Kholin

Recently, in the scientist community of specialists dealing with structural epilepsy, it has been noticed an increasing interest in a special form of cortical development disorder not to be included in the ILAE Classification of the epilepsies the 2017 revision. It is so-called mild malformation of cortical development with oligodendroglial hyperplasia and epilepsy (MOGHE). There are a number of publications devoted to the neuroimaging features of MOGHE, which are possible to distinguish from other epileptogenic substrates in comparisons with clinical/anamnestic data and dynamic observation. Our paper describes the case of a patient under 6 years suffering from pharmacoresistant epilepsy with histologically confirmed MOGHE, and having undergone the procedure of epileptic surgery. MRI showed an increased intensity of the T2/FLAIR signal from the white matter in combination with signs of laminar hyperintensivity, regional sulcation disturbance, smoothness of gray-white matter demarcation in the right frontal lobe. A signal intensification from the white matter with the formation similarity of the «transmantl» sign and further pronounced smoothness of the gray-white matter demarcation was observed on dynamic MRI. These changes were estimated as focal cortical dysplasia. Pre-surgical examination revealed a correlation of epileptiform activity with MRI changes. The subtotal resection of the right frontal lobe and the morphological conclusion established the presence of MOGHE was performed.


Neurology ◽  
2002 ◽  
Vol 59 (5) ◽  
pp. 720-723 ◽  
Author(s):  
S. F. Cappa ◽  
M. Sandrini ◽  
P. M. Rossini ◽  
K. Sosta ◽  
C. Miniussi

2012 ◽  
Vol 6 (3) ◽  
pp. 462-471 ◽  
Author(s):  
Anya Chakraborty ◽  
T. A. Sumathi ◽  
Veer Singh Mehta ◽  
Nandini Chatterjee Singh

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