کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6025383 1580893 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Full Length ArticlesReliable activation to novel stimuli predicts higher fluid intelligence
ترجمه فارسی عنوان
مقالات طول کامل مقالات مرتبط با فعال سازی مجدد به محرک های جدید، هوش مایع بالاتر را پیش بینی می کنند
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
چکیده انگلیسی


- Prior research suggests that neural reliability may relate to intelligence.
- Inter-trial phase clustering quantifies the consistency of neural response dynamics.
- Phase clustering was assessed for early responses to repeated and novel pictures.
- Only higher phase clustering to novel stimuli predicted higher fluid intelligence.
- Higher fluid intelligence may be characterized by more flexible neural responding.

The ability to reliably respond to stimuli could be an important biological determinant of differences in fluid intelligence (Gf). However, most electrophysiological studies of Gf employ event-related potential (ERP) measures that average brain activity over trials, and hence have limited power to quantify neural variability. Time-frequency analyses can capture cross-trial variation in the phase of neural activity, and thus can help address the importance of neural reliability to differences in Gf. This study recruited a community sample of healthy adults and measured inter-trial phase clustering (ITPC), total spectral power, and ERP amplitudes elicited by Repeated and Novel non-target stimuli during two visual oddball tasks. Condition effects, relations among the EEG measures, and relations with Gf were assessed. Early visual responses to Repeated stimuli elicited higher ITPC, yet only ITPC elicited by Novel stimuli was associated with Gf. Analyses of spectral power further highlighted the contribution of phase consistency to the findings. The link between Gf and reliable responding to changing inputs suggests an important role for flexible resource allocation in fluid intellectual skills.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage - Volume 114, 1 July 2015, Pages 311-319
نویسندگان
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