Neural substrates of the interaction between effort-expenditure reward decision-making and outcome anticipation.

OBJECTIVE: Reward anticipation is important for future decision-making, possibly due to re-evaluation of prior decisions. However, the exact relationship between reward anticipation and prior effort-expenditure decision-making, and its neural substrates are unknown. METHOD: Thirty-three healthy participants underwent fMRI scanning while performing the Effort-based Pleasure Experience Task (E-pet). Participants were required to make effort-expenditure decisions and anticipate the reward. RESULTS: We found that stronger anticipatory activation at the posterior cingulate cortex was correlated with slower reaction time while making decisions with a high-probability of reward. Moreover, the substantia nigra was significantly activated in the prior decision-making phase, and involved in reward-anticipation in view of its strengthened functional connectivity with the mammillary body and the putamen in trial conditions with a high probability of reward. CONCLUSIONS: These findings support the role of reward anticipation in re-evaluating decisions based on the brain-behaviour correlation. Moreover, the study revealed the neural interaction between reward anticipation and decision-making.

Copy number variation analysis based on AluScan sequences.

BACKGROUND: AluScan combines inter-Alu PCR using multiple Alu-based primers with opposite orientations and next-generation sequencing to capture a huge number of Alu-proximal genomic sequences for investigation. Its requirement of only sub-microgram quantities of DNA facilitates the examination of large numbers of samples. However, the special features of AluScan data rendered difficult the calling of copy number variation (CNV) directly using the calling algorithms designed for whole genome sequencing (WGS) or exome sequencing. RESULTS: In this study, an AluScanCNV package has been assembled for efficient CNV calling from AluScan sequencing data employing a Geary-Hinkley transformation (GHT) of read-depth ratios between either paired test-control samples, or between test samples and a reference template constructed from reference samples, to call the localized CNVs, followed by use of a GISTIC-like algorithm to identify recurrent CNVs and circular binary segmentation (CBS) to reveal large extended CNVs. To evaluate the utility of CNVs called from AluScan data, the AluScans from 23 non-cancer and 38 cancer genomes were analyzed in this study. The glioma samples analyzed yielded the familiar extended copy-number losses on chromosomes 1p and 9. Also, the recurrent somatic CNVs identified from liver cancer samples were similar to those reported for liver cancer WGS with respect to a striking enrichment of copy-number gains in chromosomes 1q and 8q. When localized or recurrent CNV-features capable of distinguishing between liver and non-liver cancer samples were selected by correlation-based machine learning, a highly accurate separation of the liver and non-liver cancer classes was attained. CONCLUSIONS: The results obtained from non-cancer and cancerous tissues indicated that the AluScanCNV package can be employed to call localized, recurrent and extended CNVs from AluScan sequences. Moreover, both the localized and recurrent CNVs identified by this method could be subjected to machine-learning selection to yield distinguishing CNV-features that were capable of separating between liver cancers and other types of cancers. Since the method is applicable to any human DNA sample with or without the availability of a paired control, it can also be employed to analyze the constitutional CNVs of individuals.

[Study on the meningoima using FT-mid-IR spectroscopy].

In the present investigation, 24 cases of meningoima tissues (including 12 cases of benign tumor and 12 cases of malignant tumor 12) were detected using FT-mid-IR spectroscopy linked with attenuated total reflectance (ATR) accessory. These FTIR spectra obtained from the above-mentioned meningoima tissues were analyzed and compared. Significant differences were found in the spectral features of different kinds of meningoima tissues for example fibrous type meningoima and endothelioid meningoima; and for the same type of meningoima tissues the significant differences in the spectram features can be also observed with the increase of grade malignancy. The malignant tumor can be distinguished primarily from benign tumor by the changes of position, shape and intensity of infrared absorption bands, particularly in the ranges of 1 000-1 500 cm(-1). The results show that the peak position of the bands (such as 1 160 cm(-1)) can be used to distinguish the characteristic of meningoima which are in agreement with the pathological results. The accuracy is larger than 85%. These results demonstrate that FT-mid-IR spectroscopy exhibits prospect to develop a novel, non-invasive and rapid method for the diagnosis the brain tumors.

[Preservation of pituitary stalk in the microsurgery of giant pituitary adenoma and its significance].

OBJECTIVE: To investigate and elucidate how to preserve the pituitary stalk in the microsurgery of giant pituitary adenoma (GPA) and its clinical significance. METHODS: 45 GPA patients, 23 males and 22 female; aged 40.8, including 12 cases of invasive pituitary adenoma (IPA) underwent craniotomy based on the respective preoperative neuroradiological imaging characteristics. The anatomical relationship between the pituitary stalk and tumor was recorded. The methods to protect the pituitary stalk were summarized. RESULTS: Total tumor excision was achieved in 25 patients (55.5%), near-total resection was done in 12 (26.7%), and subtotal resection in 8 (17.8%). During the surgical proceeding, the pituitary stalk was distinguished from the tumor and preserved well in all 33 cases with non-invasive giant pituitary adenoma. On the contrary, in the 12 cases of invasive giant pituitary adenoma (IPA) the pituitary stalk was visualized in only 7 cases. In the patients with visualized pituitary stalks 4 pituitary stalks were not identified very well. In most cases (91%) the pituitary stalks were located laterally (on the left or right side) or supero-posterior to the tumor, only a few were located anteriorly. In all 12 IPA patients 2 cases of postoperative hemorrhage occurred associated with remnant tumor and immediate hematoma evacuation was performed, however, one patient died due to hypothalamus injury. CONCLUSION: Pituitary stalk has various anatomical relationships to the entity of GPA; most are located lateral or supero-posterior to the tumor. However, the relationship between the stalk and tumor is not clear in IPA. Identifying and preserving the pituitary stalk well during surgical manipulation will be beneficial to get an excellent outcome.