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Electrophysiology and Psychophysiology in Psychiatry and Psychopharmacology

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Cover of 'Electrophysiology and Psychophysiology in Psychiatry and Psychopharmacology'

Table of Contents

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    Book Overview
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    Chapter 295 Personalized Medicine in ADHD and Depression: Use of Pharmaco-EEG.
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    Chapter 296 Physiological Correlates of Premenstrual Dysphoric Disorder (PMDD)
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    Chapter 297 Physiological Correlates of Bipolar Spectrum Disorders and their Treatment
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    Chapter 298 ASD: Psychopharmacologic Treatments and Neurophysiologic Underpinnings
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    Chapter 303 Electrophysiological Aberrations Associated with Negative Symptoms in Schizophrenia
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    Chapter 308 The Spectrum of Borderline Personality Disorder: A Neurophysiological View.
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    Chapter 316 Neurophysiological Biomarkers Informing the Clinical Neuroscience of Schizophrenia: Mismatch Negativity and Prepulse Inhibition of Startle
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    Chapter 320 Psychophysiology of Dissociated Consciousness.
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    Chapter 321 Nonlinear Measures and Dynamics in Psychophysiology of Consciousness.
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    Chapter 322 Physiological Correlates of Positive Symptoms in Schizophrenia
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    Chapter 323 Psychophysiology-Informed (Multimodal) Imaging
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    Chapter 324 Physiological Correlates of Insomnia
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    Chapter 325 Postmenopausal Physiological Changes.
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    Chapter 345 Electrophysiology and Psychophysiology in Psychiatry and Psychopharmacology
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    Chapter 346 Psychophysiology in the Study of Psychological Trauma: Where Are We Now and Where Do We Need to Be?
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    Chapter 347 Physiological Aberrations in Panic Disorder
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    Chapter 348 Connectivity Measurements for Network Imaging
Attention for Chapter 296: Physiological Correlates of Premenstrual Dysphoric Disorder (PMDD)
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Chapter title
Physiological Correlates of Premenstrual Dysphoric Disorder (PMDD)
Chapter number 296
Book title
Electrophysiology and Psychophysiology in Psychiatry and Psychopharmacology
Published in
Current topics in behavioral neurosciences, March 2014
DOI 10.1007/7854_2014_296
Pubmed ID
Book ISBNs
978-3-31-912768-2, 978-3-31-912769-9
Authors

Inger Sundström Poromaa, Poromaa, Inger Sundström

Abstract

Premenstrual dysphoric disorder (PMDD) is a mood disorder with onset of functionally impairing or distressing mood symptoms in the late luteal phase of the menstrual cycle. Psychophysiologic findings in PMDD broadly fall into two categories: vulnerability trait findings, thus categorized because they are present in the asymptomatic phases of the menstrual cycle, and state findings, which are only present in the symptomatic late luteal phase and which are potentially representative of the hormonal events and biological mechanisms that lead to PMDD. Trait vulnerability markers in PMDD include diminished cardiovascular stress responses, lower heart rate variability (reflecting increased vagal tone), and lower P300 amplitude, eventually suggesting that women with PMDD share a number of physiological correlates with related anxiety and mood disorders. State findings in PMDD include lower luteal phase prepulse inhibition and altered luteal phase emotion processing. Lower prepulse inhibition in the late luteal phase may be an important ovarian steroid-influenced indicative of altered serotonergic neurotransmission, of relevance for women with PMDD. Attempts to determine the neural correlates of emotion processing in the late luteal phase are thus far inconsistent, but promising.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Lithuania 1 3%
Greece 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 26%
Student > Ph. D. Student 5 14%
Researcher 4 11%
Professor > Associate Professor 3 9%
Student > Master 3 9%
Other 7 20%
Unknown 4 11%
Readers by discipline Count As %
Psychology 13 37%
Medicine and Dentistry 4 11%
Neuroscience 4 11%
Agricultural and Biological Sciences 2 6%
Nursing and Health Professions 1 3%
Other 4 11%
Unknown 7 20%