Familial Associations With EEG Variants in Manic-Depressive Disease

Small, Joyce G.

doi:10.1001/archpsyc.1975.01760190045005

Cited by 30 publications

(7 citation statements)

References 16 publications

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“…Two studies reported increased generalized delta or described “slowing” (Cantor et al, 1986; Stroganova et al, 2007). Two studies showed theta increases (Small et al, 1975; Coben et al, 2008), while one study reported reduced theta (Dawson et al, 1982). By contrast, findings have been quite consistent within the alpha through gamma frequency range.…”

Section: Quantitative Eeg Findings and Asdmentioning

confidence: 99%

Using quantitative and analytic EEG methods in the understanding of connectivity in autism spectrum disorders: a theory of mixed over- and under-connectivity

Coben

Mohammad-Rezazadeh

Cannon³

2014

Front. Hum. Neurosci.

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Neuroimaging technologies and research has shown that autism is largely a disorder of neuronal connectivity. While advanced work is being done with fMRI, MRI-DTI, SPECT and other forms of structural and functional connectivity analyses, the use of EEG for these purposes is of additional great utility. Cantor et al. (1986) were the first to examine the utility of pairwise coherence measures for depicting connectivity impairments in autism. Since that time research has shown a combination of mixed over and under-connectivity that is at the heart of the primary symptoms of this multifaceted disorder. Nevertheless, there is reason to believe that these simplistic pairwise measurements under represent the true and quite complicated picture of connectivity anomalies in these persons. We have presented three different forms of multivariate connectivity analysis with increasing levels of sophistication (including one based on principle components analysis, sLORETA source coherence, and Granger causality) to present a hypothesis that more advanced statistical approaches to EEG coherence analysis may provide more detailed and accurate information than pairwise measurements. A single case study is examined with findings from MR-DTI, pairwise and coherence and these three forms of multivariate coherence analysis. In this case pairwise coherences did not resemble structural connectivity, whereas multivariate measures did. The possible advantages and disadvantages of different techniques are discussed. Future work in this area will be important to determine the validity and utility of these techniques.

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Section: Quantitative Eeg Findings and Asdmentioning

confidence: 99%

Using quantitative and analytic EEG methods in the understanding of connectivity in autism spectrum disorders: a theory of mixed over- and under-connectivity

Coben

Mohammad-Rezazadeh

Cannon³

2014

Front. Hum. Neurosci.

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“…2,149,150 The SSS pattern appears often in bipolar patients and also in their first-degree relatives. 151 Numerous QEEG studies have found increased alpha and/or theta power in a high percentage of depressed patients. 8,19,[152][153][154][155][156][157] Antidepressants reduce alpha activity, 153,[158][159][160][161] suggesting normalization of these deviant QEEG features (in contrast to the increased alpha caused by neuroleptics).…”

Section: Mood Disorders: Unipolar and Bipolar Depressionmentioning

confidence: 99%

Conventional and Quantitative Electroencephalography in Psychiatry

Hughes¹,

John²

1999

JNP

410

296

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Electrical activity of each brain region is homeostatically regulated, resulting in predictable frequency composition of the background EEG. Replicated normative databases have established that the EEG power spectrum is independent of ethnic background. Artifact-free EEG evaluated relative to such norms displays few deviant values in healthy, normally functioning individuals. In subjects with psychiatric disorders, high proportions of abnormal findings have been reported with good concordance and high specificity and sensitivity across numerous studies, distinctive within a wide variety of disorders and often contributing to differential diagnosis and selection of treatment. New three-dimensional QEEG imaging methods offer an economical alternative to other functional brain imaging modalities.

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“…In one survey (Saito et al 1987), SSSs Koshino and Niedermeyer (1975) could find no evidence of SSSs in a subsample of 36 patients with a manic-depressive diagnosis culled from 3,377 EEGs secured in a Psychiatric patients with SSS (n = 42) did not differ from normal EEG patients (n = 64) on the Zung Depression Scale or the Raskin Mood Scale Study of suicide in patients with and without paroxysmal EEGs (total n = 225). A reanalysis for this Small et al (1975) (1) Reported 43 % incidence of SSS among 60 bipolar manicdepressive patients (2) Incidence in female bipolar patients higher than in age-matched general female population (55 % vs. 12.7 %, p \ 0.001). Incidence in bipolar males higher than in age-matched general male population (32 % vs. 11.2 %, p \ 0.01) (3) Patients with SSS had more consecutive generations of families with affect disorder than did patients without the SSS EEG finding Koshino and Niedermeyer (1975) Large survey of 3,377 EEGs from a neurology service.…”

Section: The Affective Disturbance Connectionmentioning

confidence: 99%

Standard EEG: A Research Roadmap for Neuropsychiatry

Boutros¹

2013

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Familial Associations With EEG Variants in Manic-Depressive Disease

Cited by 30 publications

References 16 publications

Using quantitative and analytic EEG methods in the understanding of connectivity in autism spectrum disorders: a theory of mixed over- and under-connectivity

Using quantitative and analytic EEG methods in the understanding of connectivity in autism spectrum disorders: a theory of mixed over- and under-connectivity

Conventional and Quantitative Electroencephalography in Psychiatry

Standard EEG: A Research Roadmap for Neuropsychiatry

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