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This is potentially important if amygdala responses can be explained by neural activity during the reaction time that reflects non-specific or cognitive (e.g., attentional) differences between trials or subjects.

The decrements of auditory evoked neural activities during simultaneous masking can be explained by neural interactions evoked by masker and test stimulus in peripheral and central auditory systems.

However, the gain in muscle strength in children may also be explained by neural adaptations such as complex influences in neuromuscular interaction in the motor unit and increased coordination of agonists and antagonists [ 7, 14, 17, 42, 44].

Their high plasticity and multipotential capacity to differentiate into a large array of tissues can be explained by its neural crest origin, which supports applications beyond the scope of oral tissues.

In general, this could be explained by the neural net behavior, which is able to learn about the degradation model.

The current findings may be explained by several neural mechanisms that have been put forward to account for prolonged brain activation patterns.

Consistent with this idea is that the oblique effect in humans can be explained by a neural representation of the visual scene where vertical and horizontal orientations are more likely (Girshick et al., 2011).

These changes could be explained by a neural crest contribution found for HSC niche-forming MSCs and suggest the possible re-programming of these cells towards the closest ontogenically-related linages during the pathogenesis of these disorders.

Hence, acupuncture's effect on both painful and non-painful conditions can be explained by invoking neural blockade, either directly or via secondary blockade of sympathetic efferents that activate alpha-2 adrenoceptors.

As the resulting suppression of apoptosis did not rescue the ISV defect phenotype of nrp1a/b morphants, the ISV defect of nrp1a/b MO-injected fish cannot be explained by increased neural tube apoptosis.

Previous experimental studies have provided evidence that closed contours are easier to detect than open contours in random-element displays, and previous theoretical studies have shown that these effects might be explained by an active neural mechanism (e.g., a "reverberating neural circuit") sensitive to closure.