Age and sex effects in emotional prosody processing revealed in infants' mismatch responses but not in preferential looking time

2021 ◽  
Vol 150 (4) ◽  
pp. A150-A150
Author(s):  
Chieh Kao ◽  
Yang Zhang
Keyword(s):  
Emotional Prosody ◽  
Sex Effects ◽  
Preferential Looking ◽  
Age And Sex

Age and sex effects on brain morphology

1997 ◽  
Vol 21 (8) ◽  
pp. 1231-1237 ◽  
Author(s):  
Theodore J. Passe ◽  
Pradeep Rajagopalan ◽  
Larry A. Tupler ◽  
Christopher E. Byrum ◽  
James R. Macfall ◽  
...  
Keyword(s):  
Brain Morphology ◽  
Sex Effects ◽  
Age And Sex

Age and sex effects on taste of sucrose, NaCl, citric acid and caffeine

1981 ◽  
Vol 2 (4) ◽  
pp. 315-318 ◽  
Author(s):  
Robert J. Hyde ◽  
Ralph P. Feller
Keyword(s):  
Citric Acid ◽  
Sex Effects ◽  
Age And Sex

Aping humans: Age and sex effects in chimpanzee (Pan troglodytes) and human (Homo sapiens) personality.

2008 ◽  
Vol 122 (4) ◽  
pp. 418-427 ◽  
Author(s):  
James E. King ◽  
Alexander Weiss ◽  
Melissa M. Sisco
Keyword(s):  
Pan Troglodytes ◽  
Homo Sapiens ◽  
Sex Effects ◽  
Age And Sex

Observations of Parent Reactions to Sex-Stereotyped Behaviors: Age and Sex Effects

1991 ◽  
Vol 62 (3) ◽  
pp. 617 ◽  
Author(s):  
Beverly I. Fagot ◽  
Richard Hagan
Keyword(s):  
Sex Effects ◽  
Stereotyped Behaviors ◽  
Age And Sex

scholarly journals Developmental, age, and sex effects on gap detection and temporal order

1982 ◽  
Vol 71 (S1) ◽  
pp. S47-S47 ◽  
Author(s):  
Christy L. Ludlow ◽  
Edward A. Cudahy ◽  
Celia J. Bassich
Keyword(s):  
Temporal Order ◽  
Gap Detection ◽  
Sex Effects ◽  
Developmental Age ◽  
Age And Sex

scholarly journals Age and Sex Effects on White Matter Tracts in Psychosis from Adolescence through Middle Adulthood

2016 ◽  
Vol 41 (10) ◽  
pp. 2473-2480 ◽  
Author(s):  
Andrew Schwehm ◽  
Delbert G Robinson ◽  
Juan A Gallego ◽  
Katherine H Karlsgodt ◽  
Toshikazu Ikuta ◽  
...  
Keyword(s):  
White Matter ◽  
Middle Adulthood ◽  
White Matter Tracts ◽  
Sex Effects ◽  
Age And Sex

scholarly journals Variations in the frequency and amplitude of resting-state EEG and fMRI signals in normal adults: The effects of age and sex

2020 ◽  
Author(s):  
Xiaole Zhong ◽  
J. Jean Chen
Keyword(s):  
Frequency Band ◽  
Resting State ◽  
Low Frequency ◽  
Peak Frequency ◽  
Sex Effects ◽  
Age Related ◽  
Significant Difference ◽  
Eeg Power ◽  
Parametric Analyses ◽  
Age And Sex

AbstractFrequency and amplitude features of both resting-state electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are crucial metrics that reveal patterns of brain health in aging. However, the association between these two modalities is still unclear. In this study, we examined the peak frequency and standard deviation of both modalities in a dataset comprising healthy young (35.5±3.4 years, N=134) and healthy old (66.9±4.8 years, N=51) adults. Both age and sex effects were examined using non-parametric analyses of variance (ANOVA) and Tukey’s Honest Significant Difference (HSD) post-hoc comparisons in the cortical and subcortical regions. We found that, with age, EEG power decreases in the low frequency band (1-12 Hz) but increases in the high frequency band (12-30 Hz). Moreover, EEG frequency generally shifts up with aging. For fMRI, fluctuation amplitude is lower but fluctuation frequency is higher in older adults, but in a manner that depends on the fMRI frequency range. Furthermore, there are significant sex effects in EEG power (female > male), but the sex effect is negligible for EEG frequency as well as fMRI power and frequency. We also found that the fMRI-EEG power ratio is higher in young adults than old adults. However, the mediation analysis shows the association between EEG and fMRI parameters in aging is negligible. This is the first study that examines both power and frequency of both resting EEG and fMRI signals in the same cohort. In conclusion, both fMRI and EEG signals reflect age-related and sex-related brain differences, but they likely associate with different origins.

scholarly journals Age and Sex Effects across the Blood Proteome after Lonizing Radiation Exposure: Consequences for Biomarker Screening and Risk Assessment

2021 ◽  
Author(s):  
Britta Langen ◽  
Egor Vorontsov ◽  
Johan Spetz ◽  
John Swanpalmer ◽  
Carina Sihlbom ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Personalized Medicine ◽  
Biomarker Discovery ◽  
Molecular Biomarkers ◽  
Cancer Radiotherapy ◽  
Male And Female ◽  
Sex Effects ◽  
Proteomic Response ◽  
Age And Sex ◽  
Screening Approaches

Abstract Molecular biomarkers of ionizing radiation (IR) exposure are a promising new tool in various disciplines: they can give necessary information for adaptive treatment planning in cancer radiotherapy, enable risk projection for radiation-induced survivorship diseases, or facilitate triage and intervention in radiation hazard events. However, radiation biomarker discovery has not yet resolved the most basic features of personalized medicine: age and sex. To overcome this critical bias in biomarker identification, we quantitated age and sex effects and assessed their relevance in the radiation response across the blood proteome. We used high-throughput mass spectrometry on blood plasma collected 24 hours after 0.5 Gy total body irradiation (15 MV nominal photon energy) from male and female C57BL/6N mice at juvenile (7-weeks-old) or adult (18-weeks-old) age. We also assessed sex and strain effects using juvenile male and female BALB/c nude mice. We showed that age and sex created significant effects in the proteomic response regarding both extent and functional quality of IR-induced responses. Furthermore, we found that age and sex effects appeared non-linear and were often end-point specific. Overall, age contributed more to differences in the proteomic response than sex, most notably in immune responses, oxidative stress, and apoptotic cell death. Interestingly, sex effects were pronounced for DNA damage & repair pathways and associated cellular outcome (pro-survival vs. pro-apoptotic). Only one protein (AHSP) was identified as a potential general biomarker candidate across age and sex, while GMNN, REG3B, and SNCA indicated some response similarity across age. This low yield advocated that unisex or uniage biomarker screening approaches are not feasible. In conclusion, age- and sex-specific screening approaches should be implemented as standard protocol to ensure robustness and diagnostic power of biomarker candidates. Bias-free molecular biomarkers are a necessary progression towards personalized medicine and integral for advanced adaptive cancer radiotherapy and risk assessment.

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