Su1967 Gender Differences in Brain Activity During Visceral Placebo Analgesia in Healthy Subjects

The aim of this study is to assess whether gender and body mass index (BMI) should be considered in developing thresholds to define GH deficiency, using GH responses to GHRH + arginine (ARG) stimulation and insulin tolerance test (ITT). Thirty-nine healthy subjects (19 males, 20 females; ages 21–50 yr) underwent GHRH + ARG, and another 27 subjects (19 males, 8 females; ages 20–49 yr) underwent ITT. Peak GH response was significantly higher (P = 0.005) after GHRH + ARG than with ITT, and this difference could not be explained by age, gender, or BMI. Peak GH response was negatively correlated with BMI in both tests (GHRH + ARG, r = −0.76; and ITT, r = −0.65). Peak GH response to GHRH + ARG was higher in females than males (P = 0.004; ratio = 2.4), but it was attenuated after eliminating the influence of BMI (P = 0.13; ratio = 1.6). No significant gender differences were found in peak GH responses to ITT, which could be due to the smaller number of female subjects studied. GH response to GHRH + ARG and ITT stimulation is sensitive to BMI differences and less so to gender differences. A higher BMI is associated with a depressed GH response to both stimulation tests. BMI should therefore be considered as a factor when defining the diagnostic cut-off points in the assessment of GH deficiency, whereas whether gender should be likewise used is inconclusive from this study.

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Gender Differences in the Variability of Gait in Healthy Subjects

Biomedical Engineering / 765: Telehealth / 766: Assistive Technologies ◽

10.2316/p.2012.764-107 ◽

2012 ◽

Cited By ~ 1

Author(s):

Rita M. Kiss

Keyword(s):

Gender Differences ◽

Healthy Subjects

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ERP Correlates of Word Production before and after Stroke in an Aphasic Patient

Journal of Cognitive Neuroscience ◽

10.1162/jocn.2010.21412 ◽

2011 ◽

Vol 23 (2) ◽

pp. 374-381 ◽

Cited By ~ 16

Author(s):

Marina Laganaro ◽

Stéphanie Morand ◽

Christoph M. Michel ◽

Laurent Spinelli ◽

Armin Schnider

Keyword(s):

Picture Naming ◽

Healthy Subjects ◽

Language Production ◽

Time Window ◽

Brain Activity ◽

Temporal Cortex ◽

Word Production ◽

Control Group ◽

Healthy Controls ◽

Aphasic Patient

Changes in brain activity characterizing impaired speech production after brain damage have usually been investigated by comparing aphasic speakers with healthy subjects because prestroke data are normally not available. However, when interpreting the results of studies of stroke patients versus healthy controls, there is an inherent difficulty in disentangling the contribution of neuropathology from other sources of between-subject variability. In the present work, we had an unusual opportunity to study an aphasic patient with severe anomia who had incidentally performed a picture naming task in an ERP study as a control subject one year before suffering a left hemisphere stroke. The fortuitous recording of this patient's brain activity before his stroke allows direct comparison of his pre- and poststroke brain activity in the same language production task. The subject did not differ from other healthy subjects before his stroke, but presented major electrophysiological differences after stroke, both in comparison to himself before stroke and to the control group. ERP changes consistently appeared after stroke in a specific time window starting about 250 msec after picture onset, characterized by a single divergent but stable topographic configuration of the scalp electric field associated with a cortical generator abnormally limited to left temporal posterior perilesional areas. The patient's pattern of anomia revealed a severe lexical–phonological impairment and his ERP responses diverged from those of healthy controls in the time window that has previously been associated with lexical–phonological processes during picture naming. Given that his prestroke ERPs were indistinguishable from those of healthy controls, it seems highly likely that the change in his poststroke ERPs is due to changes in language production processes as a consequence of stroke. The patient's neurolinguistic deficits, combined with the ERPs results, provide unique evidence for the role of left temporal cortex in lexical–phonological processing from about 250 to 450 msec during word production.

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