Exploring the knowledge contained in neuroimages: statistical discriminant analysis and automatic segmentation of the most significant changes

OBJECTIVE

The aim of this article is to propose an integrated framework for extracting and describing patterns of disorders from medical images using a combination of linear discriminant analysis and active contour models.

METHODS

A multivariate statistical methodology was first used to identify the most discriminating hyperplane separating two groups of images (from healthy controls and patients with schizophrenia) contained in the input data. After this, the present work makes explicit the differences found by the multivariate statistical method by subtracting the discriminant models of controls and patients, weighted by the pooled variance between the two groups. A variational level-set technique was used to segment clusters of these differences. We obtain a label of each anatomical change using the Talairach atlas.

RESULTS

In this work all the data was analysed simultaneously rather than assuming a priori regions of interest. As a consequence of this, by using active contour models, we were able to obtain regions of interest that were emergent from the data. The results were evaluated using, as gold standard, well-known facts about the neuroanatomical changes related to schizophrenia. Most of the items in the gold standard was covered in our result set.

CONCLUSIONS

We argue that such investigation provides a suitable framework for characterising the high complexity of magnetic resonance images in schizophrenia as the results obtained indicate a high sensitivity rate with respect to the gold standard.

Physiological differences of elite and professional road cyclists related to competition level and rider specialization

AIM

The aim of this investigation was to study the physiological response to laboratory tests in elite and professional cyclists, and to relate it to the level at which riders compete and their specialization.

METHODS

A total of 71 cyclists were divided into two groups, elite and professional, and were assessed for physical measurements, a maximal graded test and a 30 s all-out test, both performed on a cycle ergometer. The sample included 24 uphill riders (UR), 32 flat terrain riders (FTR), 11 all terrain riders (ATR) and 4 sprinters (SP).

RESULTS

Professional riders showed significantly higher gross mechanical efficiency (GME) than their elite counterparts (25.6+/-2.6 vs 24.4+/-2%), but otherwise no other physiological differences emerged from the comparison between these two groups. However, many differences exist as a function of rider specialization, especially between UR and FTR. Compared with FTR, UR showed a higher VO2max (78.2+/-5.5 vs 72.6+/-6.5 mL x min(-1) x kg(-1)) and a lower maximal aerobic power (438.5+/-40.8 vs 465.3+/-36.2 W). From the 30 s all-out test, SP presents the highest maximal power (P < 0.05) and maximal velocity (P < 0.05) compared with all the other groups.

CONCLUSIONS

The results for GME indicate a better efficiency for professional riders and suggest the importance of technical aspects related to movement pattern in cycling. The sensitivity of the maximal graded test and the 30 s all-out test did not allowed other differentiations between elite and professional cyclists.

Physiological differences in professional basketball players as a function of playing position and level of play

AIM

The aim of this investigation is to evaluate the physical and physiological characteristics of different first (ProA) and second division (ProB) professional basketball players, and to relate them to playing position and level of play.

METHODS

A total of 58 players were divided into ProA and ProB groups and were assessed for physical characteristics, maximal treadmill test and a 30 s all-out test. The sample included 22 centers, 22 forwards and 14 guards.

RESULTS

Centers were significantly taller and heavier (203.9+/-5.3 cm and 103.9+/-12.4 kg) than forwards (195.8+/-4.8 cm and 89.4+/-7.1 kg) and guards (185.7+/-6.9 and 82+/-8.8 kg) and also had higher body fat percentages than the other groups. Forwards were also significantly taller than guards. Centers presented a lower maximal aerobic velocity (kmxh-1) than guards (15.5+/-1.2 vs 16.8+/-1.5, P<0.05) on the maximal treadmill test and a lower maximal velocity (rpm) than forwards (156.5+/-18.4 vs 170.3+/-18.3, P<0.05) on the 30 s all-out test. VO2max (mlxmin-1xkg-1) was significantly lower for ProA (53.7+/-6.7) compared to ProB (56.5+/-7.7) players and the fatigue index on the 30 s all-out test was higher for the ProA group (P<0.05).

CONCLUSION

Many physical differences, most notably size, exist between players as a function of their playing position. But these differences have no relationship to the level of play of professional players. General aerobic capacity is fairly homogeneous between playing position and level of play, even if there are observable VO2max differences due to inter-individual profiles. On the other hand, anaerobic capacity seems to be a better predictor of playing level even though it is not clear whether such capacity comes from specific training in ProA, or from an initial selection criteria.

Influence of changes in nasal ventilation on estimated workload during submaximal field running

BACKGROUND

Breathe Right (BR) external nasal dilator have become increasingly popular over the past few years, however, the physiological basis for using BR remains unclear. We have examined whether alteration in nasal ventilation would influence the metabolic cost of submaximal running.

METHODS

Metabolic cost was estimated in 10 male endurance triathletes by measuring heart rate (HR) and exercise perception by measuring the rate of perceived exertion (RPE) during submaximal field running. The protocol consisted of 5 min of running at 80% of their maximal aerobic velocity (MAV(f), previously determined under field conditions) for three randomised experimental conditions, separated by a 10 min rest. The conditions were normal nasal ventilation (N), no nasal ventilation (using a nose clip) (NC) and with a BR.

RESULTS

Running with the BR or with NC did not significantly influence HR (N: 173+/-7, BR: 173+/-8, NC: 172+/-7 beat x min(-1); F=0.01, p=0.99) or RPE (N: 12.1+/-1.7, BR: 11.8+/-1.9, NC: 13.2+/-0.8; F=1.88, p=0.18). We conclude that alteration in nasal ventilation produced by using BR or NC do not influence HR or RPE in a group of triathletes running 5 min at 80% of MAV(f).

CONCLUSIONS

The present study tended to demonstrate that both nasal ventilation would not influence the total metabolic cost, and that the BR device is not advantageous during high intensity exercise.