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1.
Biol Psychol ; 139: 17-24, 2018 11.
Article in English | MEDLINE | ID: mdl-30290213

ABSTRACT

Prior research on the interaction between emotion and episodic memory established that negatively charged events are better remembered compared to neutral events (i.e. enhanced remembrance), as well as that a priori neutral cues that were present in the environment during a negative event can attain aversive meaning by themselves (i.e. acquired negativity). Improved understanding the neural mechanisms that mediate enhanced remembrance of negative episodes and acquired negativity of related neutral cues may carry substantial clinical relevance, particularly in the context of posttraumatic pathophysiology. In order to address this point forty-nine healthy participants completed a novel fMRI task that involve the presentation of neutral pictures before and after a series of short neutral and aversive video-clips from which the neutral pictures were originally extracted, and a subsequent presentation of these pictures as cues for clip recall [termed, Picture-Clip-Picture-Recall (PCPR) task]. Behavioral results indicate that aversive clips were indeed better remembered compared to neutral clips (i.e. enhanced remembrance of negative episode) and that a priori neutral pictures that appeared in aversive clips were rated more negatively after relative to before the exposure to the aversive clips (i.e. acquired negativity of related neutral cues). Whole-brain fMRI analysis revealed that increased amygdala activation in response to pictures when presented as cues for clip recall predicted successful clip remembrance, particularly remembrance of aversive clips. This amygdala activation was also correlated with the magnitude of acquired negativity of the cues following their appearance in aversive clips. Taken together our findings implicate the PCPR as a novel, naturalistic, framework for investigating the neural interface of emotional episodic memory, while highlighting the role of the amygdala in enhanced remembrance of negative episodes and acquired negativity of related neutral cues. Clinical implications are discussed.


Subject(s)
Amygdala/physiology , Cues , Emotions/physiology , Mental Recall/physiology , Pattern Recognition, Visual/physiology , Adolescent , Adult , Female , Humans , Magnetic Resonance Imaging , Male
2.
J Neurosci Methods ; 194(2): 358-73, 2011 Jan 15.
Article in English | MEDLINE | ID: mdl-20969891

ABSTRACT

Expert evaluation of electrocorticographic (ECoG) recordings forms the linchpin of seizure onset zone localization in the evaluation of epileptic patients for surgical resection. Numerous methods have been developed to analyze these complex recordings, including uni-variate (characterizing single channels), bi-variate (comparing channel pairs) and multivariate measures. Developing reliable algorithms may be helpful in clinical tasks such as localization of epileptogenic zones and seizure anticipation, as well as enabling better understanding of neuronal function and dynamics. Recently we have developed the frequency-entropy (F-E) similarity measure, and have tested its capability in mapping the epileptogenic zones. The F-E similarity measure compares time-frequency characterizations of two recordings. In this study, we examine the method's principles and utility and compare it to previously described bi-variate correspondence measures such as correlation, coherence, mean phase coherence and spectral comparison methods. Specially designed synthetic signals were used for illuminating theoretical differences between the measures. Intracranial recordings of four epileptic patients were then used for the measures' comparative analysis by creating a mean inter-electrode matrix for each of the correspondence measures and comparing the structure of these matrices during the inter-ictal and ictal periods. We found that the F-E similarity measure is able to discover spectral and temporal features in data which are hidden for the other measures and are important for foci localization.


Subject(s)
Brain Mapping , Brain/physiopathology , Entropy , Epilepsy/pathology , Epilepsy/physiopathology , Adolescent , Algorithms , Child , Electroencephalography/methods , Female , Humans , Male , Models, Neurological , Nonlinear Dynamics , Signal Processing, Computer-Assisted , Time Factors , Young Adult
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