The effect of acute alcohol on motor-related EEG asymmetries during preparation of approach or avoid alcohol responses

Alcohol-approach tendencies have been associated with heavy drinking and play a role in the transition to alcohol abuse. Such cognitive biases might predict future alcohol use better under a low dose of alcohol. The aim of this prospective study was to investigate both the magnitude and the predictive power of alcohol-induced changes on approach-avoidance bias and bias-related cortical asymmetries during response preparation across heavy and light drinking adolescents. In heavy drinking adolescents greater approach-related asymmetry index in the beta-band was observed for soft-drink cues compared to alcohol ones and this increase was associated with increase in difficulty to regulate alcohol intake. Earlier findings demonstrated that young heavy drinkers hold both positive and negative implicit alcohol associations, reflecting an ambiguity towards alcohol. The increase in approach related beta-lateralization for soft-drink cues measured in this study may represent a compensatory effort for the weaker S-R mapping (approaching soft drink). The MRAA findings in this study may highlight a mechanism related to overcompensation due to ambivalent attitudes towards drinking in our heavy drinking sample who had greater problems to limit their alcohol intake compared to light drinkers. Moreover, a relatively strong approach soft-drink and weak approach alcohol reaction-time bias after alcohol predicted decreasing drinking; suggesting that the capacity to control the bias under alcohol could be a protective factor

Częstość występowania rozejścia mięśni prostych brzucha w populacji młodych wieloródek w Turcji

Objectives: To determine the prevalence and factors associated with diastasis recti abdominis (DRA). Material and Methods: Between January 2011 and May 2011, we examined 95 patients, aged between 19-24, for the presence of DRA during an ultrasonographic exploration in Mus Obstetrics and Gynecology Hospital, Mus, Turkey. DRA was graded by the number of fingerbreadths between the medial edges of the bellies of the rectus abdominis muscle, 3-4 cm above the umbilicus. The exclusion criteria included urogynecologic problems since childhood, excessive protrusion of the vagina due to loss of support, pregnancy, obesity, less than 6 months postpartum. The relationship between DRA and parity, previous abdominal surgery, pelvic relaxation as well as type of parity was assessed. Results: Positive correlation was found between parity and DRA (r=0.77; pStreszczenie Cel pracy: Ocena częstości występowania i czynników ryzyka rozejścia mięśni prostych brzucha (DRA). Materiał i metody: W okresie od stycznia 2011 do maja 2011 zbadano 95 pacjentek, w wieku 19-24 lat, pod kątem obecności DRA przy pomocy ultrasonografii w Szpitalu Ginekologiczno-Położniczym w Mus w Turcji. DRA klasyfikowano na podstawie liczby palców pomiędzy brzegami mięśnia prostego brzucha, 3-4cm powyżej pępka. Kryteria wykluczenia stanowiły schorzenia uroginekologiczne w dzieciństwie, wypadanie pochwy w związku z utratą podpory, ciążą, otyłością oraz okres do 6 miesięcy od porodu. Oceniano związek pomiędzy DRA a rodnością, rodzajem porodów, poprzednimi operacjami brzusznymi oraz rozluźnieniem miednicy. Wyniki: Znaleziono związek pomiędzy rodnością a DRA (r=0,77;

Test-retest reliability of neural correlates of response inhibition and error monitoring: An fMRI study of a stop-signal task

Response inhibition (RI) and error monitoring (EM) are important processes of adaptive goal-directed behavior, and neural correlates of these processes are being increasingly used as transdiagnostic biomarkers of risk for a range of neuropsychiatric disorders. Potential utility of these purported biomarkers relies on the assumption that individual differences in brain activation are reproducible over time; however, available data on test-retest reliability (TRR) of task-fMRI are very mixed. This study examined TRR of RI and EM-related activations using a stop signal task in young adults

Test-retest reliability of fMRI-measured brain activity during decision making under risk

Neural correlates of decision making under risk are being increasingly utilized as biomarkers of risk for substance abuse and other psychiatric disorders, treatment outcomes, and brain development. This research relies on the basic assumption that fMRI measures of decision making represent stable, trait-like individual differences. However, reliability needs to be established for each individual construct. Here we assessed long-term test-retest reliability (TRR) of regional brain activations related to decision making under risk using the Balloon Analogue Risk Taking task (BART) and identified regions with good TRRs and familial influences, an important prerequisite for the use of fMRI measures in genetic studies. A secondary goal was to examine the factors potentially affecting fMRI TRRs in one particular risk task, including the magnitude of neural activation, data analytical approaches, different methods of defining boundaries of a region, and participant motion. For the average BOLD response, reliabilities ranged across brain regions from poor to good (ICCs of 0 to 0.8, with a mean ICC of 0.17) and highest reliabilities were observed for parietal, occipital, and temporal regions. Among the regions that were of a priori theoretical importance due to their reported associations with decision making, the activation of left anterior insula and right caudate during the decision period showed the highest reliabilities (ICCs of 0.54 and 0.63, respectively). Among the regions with highest reliabilities, the right fusiform, right rostral anterior cingulate and left superior parietal regions also showed high familiality as indicated by intrapair monozygotic twin correlations (ranging from 0.66 to 0.69). Overall, regions identified by modeling the average BOLD response to a specific event type (rather than its modulation by a parametric regressor), regions including significantly activated vertices (compared to a whole parcel), and regions with greater magnitude of task-related activations showed greater reliabilities. Participant motion had a moderate negative effect on TRR. Regions activated during decision period rather than outcome period of risky decisions showed the greatest TRR and familiality. Regions with reliable activations can be utilized as neural markers of individual differences or endophenotypes in future clinical neuroscience and genetic studies of risk-taking

Reliability and stability challenges in ABCD task fMRI data

Trait stability of measures is an essential requirement for individual differences research. Functional MRI has been increasingly used in studies that rely on the assumption of trait stability, such as attempts to relate task related brain activation to individual differences in behavior and psychopathology. However, recent research using adult samples has questioned the trait stability of task-fMRI measures, as assessed by test-retest correlations. To date, little is known about trait stability of task fMRI in children. Here, we examined within-session reliability and long-term stability of individual differences in task-fMRI measures using fMRI measures of brain activation provided by the adolescent brain cognitive development (ABCD) Study Release v4.0 as an individual\u27s average regional activity, using its tasks focused on reward processing, response inhibition, and working memory. We also evaluated the effects of factors potentially affecting reliability and stability. Reliability and stability (quantified as the ratio of non-scanner related stable variance to all variances) was poor in virtually all brain regions, with an average value of 0.088 and 0.072 for short term (within-session) reliability and long-term (between-session) stability, respectively, in regions of interest (ROIs) historically-recruited by the tasks. Only one reliability or stability value in ROIs exceeded the \u27poor\u27 cut-off of 0.4, and in fact rarely exceeded 0.2 (only 4.9%). Motion had a pronounced effect on estimated reliability/stability, with the lowest motion quartile of participants having a mean reliability/stability 2.5 times higher (albeit still \u27poor\u27) than the highest motion quartile. Poor reliability and stability of task-fMRI, particularly in children, diminishes potential utility of fMRI data due to a drastic reduction of effect sizes and, consequently, statistical power for the detection of brain-behavior associations. This essential issue urgently needs to be addressed through optimization of task design, scanning parameters, data acquisition protocols, preprocessing pipelines, and data denoising methods

Quick Minds Slowed Down: Effects of Rotation and Stimulus Category on the Attentional Blink

BACKGROUND: Most people show a remarkable deficit to report the second of two targets when presented in close temporal succession, reflecting an attentional restriction known as the 'attentional blink' (AB). However, there are large individual differences in the magnitude of the effect, with some people showing no such attentional restrictions. METHODOLOGY/PRINCIPAL FINDINGS: Here we present behavioral and electrophysiological evidence suggesting that these 'non-blinkers' can use alphanumeric category information to select targets at an early processing stage. When such information was unavailable and target selection could only be based on information that is processed relatively late (rotation), even non-blinkers show a substantial AB. Electrophysiologically, in non-blinkers this resulted in enhanced distractor-related prefrontal brain activity, as well as delayed target-related occipito-parietal activity (P3). CONCLUSION/SIGNIFICANCE: These findings shed new light on possible strategic mechanisms that may underlie individual differences in AB magnitude and provide intriguing clues as to how temporal restrictions as reflected in the AB can be overcome

Predicting alcohol dependence frommulti-sitebrain structural measures

To identify neuroimaging biomarkers of alcohol dependence (AD) from structural magnetic resonance imaging, it may be useful to develop classification models that are explicitly generalizable to unseen sites and populations. This problem was explored in a mega‐analysis of previously published datasets from 2,034 AD and comparison participants spanning 27 sites curated by the ENIGMA Addiction Working Group. Data were grouped into a training set used for internal validation including 1,652 participants (692 AD, 24 sites), and a test set used for external validation with 382 participants (146 AD, 3 sites). An exploratory data analysis was first conducted, followed by an evolutionary search based feature selection to site generalizable and high performing subsets of brain measurements. Exploratory data analysis revealed that inclusion of case‐ and control‐only sites led to the inadvertent learning of site‐effects. Cross validation methods that do not properly account for site can drastically overestimate results. Evolutionary‐based feature selection leveraging leave‐one‐site‐out cross‐validation, to combat unintentional learning, identified cortical thickness in the left superior frontal gyrus and right lateral orbitofrontal cortex, cortical surface area in the right transverse temporal gyrus, and left putamen volume as final features. Ridge regression restricted to these features yielded a test‐set area under the receiver operating characteristic curve of 0.768. These findings evaluate strategies for handling multi‐site data with varied underlying class distributions and identify potential biomarkers for individuals with current AD

Reproducibility in the absence of selective reporting : An illustration from large-scale brain asymmetry research

Altres ajuts: Max Planck Society (Germany).The problem of poor reproducibility of scientific findings has received much attention over recent years, in a variety of fields including psychology and neuroscience. The problem has been partly attributed to publication bias and unwanted practices such as p-hacking. Low statistical power in individual studies is also understood to be an important factor. In a recent multisite collaborative study, we mapped brain anatomical left-right asymmetries for regional measures of surface area and cortical thickness, in 99 MRI datasets from around the world, for a total of over 17,000 participants. In the present study, we revisited these hemispheric effects from the perspective of reproducibility. Within each dataset, we considered that an effect had been reproduced when it matched the meta-analytic effect from the 98 other datasets, in terms of effect direction and significance threshold. In this sense, the results within each dataset were viewed as coming from separate studies in an "ideal publishing environment," that is, free from selective reporting and p hacking. We found an average reproducibility rate of 63.2% (SD = 22.9%, min = 22.2%, max = 97.0%). As expected, reproducibility was higher for larger effects and in larger datasets. Reproducibility was not obviously related to the age of participants, scanner field strength, FreeSurfer software version, cortical regional measurement reliability, or regional size. These findings constitute an empirical illustration of reproducibility in the absence of publication bias or p hacking, when assessing realistic biological effects in heterogeneous neuroscience data, and given typically-used sample sizes