PubMed · 14826127
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
G MILETTO. [Practical data on electroencephalography].. https://pubmed.ncbi.nlm.nih.gov/14826127/
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
RATIONALE: There is a growing psychopharmacological literature on the use of Acute Tryptophan Depletion (ATD) for experimental modulation of the serotonergic system. To date, no systematic review has been undertaken assessing the neurophysiological effects following this acute central 5-HT manipulation. MATERIALS AND METHODS: A comprehensive MEDLINE, EMBASE, PsycINFO search was performed for reports on neural substrates of Acute Tryptophan Depletion in healthy individuals and in clinical population. RESULTS: Twenty-eight placebo-controlled studies were included in the review. Although tryptophan depletion reduced plasma serotonin levels in all studies, significant effects on mood were only observed in studies with recovered depressed patients. In functional neuroimaging studies ATD was consistently found to modulate cortical activity in prefrontal areas implicated in mnemonic and executive functions and in orbitofrontal, cingulate, and subcortical regions associated with emotional processing. Electrophysiological studies indicated that ATD has a significant effect on both "selective" and "involuntary" attention. CONCLUSIONS: The combination of ATD with modern brain imaging techniques allows the investigation of the neurophysiological effects of reduced 5-HT synthesis on global brain activity, executive functions, memory, attention, and affect.
Explore the source record for details and available documents.
P300-based GKT (guilty knowledge test) has been suggested as an alternative approach for conventional polygraphy. The purpose of this study is to evaluate three classifying methods for this approach and compare their performances in a lab analogue. Several subjects went through the designed GKT paradigm and their respective brain signals were recorded. For the analysis of signals, BAD (bootstrapped amplitude difference) and BCD (bootstrapped correlation difference) methods as two predefined methods alongside a new approach consisting of wavelet features and a statistical classifier were implemented. The rates of correct detection in guilty and innocent subjects were 74-80%. The results indicate the potential of P300-based GKT for detecting concealed information, although further research is required to increase its accuracy and precision and evaluating its vulnerability to countermeasures.