Cognitive impairment in schizophrenia: Specific relations to ventricular size and negative symptomatology

Keilp, John G.; Sweeney, John A.; Jacobsen, Paul; Solomon, Carla M.; Louis, Leslie St.; Deck, Michael D. F.; Frances, Alien; Mann, J. John

doi:10.1016/0006-3223(88)90120-5

Cited by 60 publications

(11 citation statements)

References 15 publications

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“…Of course for such analyses our sample size was modest ranging 428–1001 and lack of statistical power could be a potential reason. Keilp et al (Keilp et al 1988) found an association with verbal memory and others have found enlarged lateral ventricles to be associated with poorer motor speed (Antonova et al 2004; Hartberg et al 2011; Dong et al 2015 a ). A limitation of our study is the heterogeneity of the MRI methodology between study sites, which might have obscured any true associations.…”

Section: Discussionmentioning

confidence: 99%

Associations between psychosis endophenotypes across brain functional, structural, and cognitive domains

et al. 2017

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The P300 amplitude and latency are independent endophenotypes; the former indexing spatial visualisation and working memory, and the latter is hypothesised to index basic processing speed. Individuals with psychotic illnesses, their unaffected relatives, and healthy controls all show similar patterns of associations between endophenotypes, endorsing the theory of a continuum of psychosis liability across the population.

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Section: Discussionmentioning

confidence: 99%

Associations between psychosis endophenotypes across brain functional, structural, and cognitive domains

et al. 2017

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“…Temporal lobe volume at onset was predictive of unremitting positive symptomatology as an outcome measure at fiveyear follow-up (Milev et al, 2003) while cerebellar, but not temporal or ventricular, volumes were predictive of psychosocial and clinical outcome at seven-year follow-up (Wassink, Andreasen, Nopoulos, & Flaum, 1999). Some of the findings were suggestive of a relationship between the larger lateral ventricular size and cognitive impairment in institutionalized (Gabrovska-Johnson et al, 2003;Johnstone et al, 1976;Owens et al, 1985) and noninstitutionalized chronic patients (Goldberg et al, 1988;Keilp et al, 1988;Lawson, Waldman, & Weinberger, 1988;Roccatagliatta, Gandolfo, Ruffinengo, Scotto, & Bacigalupo, 1986). Longitudinal outcome measures were employed only in some of these studies that assessed the overtly Kraepelinian schizophrenia subtype (Davis et al, 1998;Johnstone et al, 1976Johnstone et al, , 1989Losonczy et al, 1986;Owens et al, 1985;Staal et al, 2001).…”

Section: Ventricular Systemmentioning

confidence: 99%

Very poor outcome schizophrenia: Clinical and neuroimaging aspects

Mitelman

Buchsbaum

2007

International Review of Psychiatry

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In spite of significant advances in treatment of patients with schizophrenia and continued efforts towards their deinstitutionalization, a considerable group of patients remain chronically hospitalized or otherwise dependent on others for basic necessities of life. It has been proposed that these patients belong to a distinct etiopathological subgroup, termed Kraepelinian, whose course of illness may be progressive and resistant to treatment. Indeed, longitudinal studies appear to show that elderly Kraepelinian patients follow a course of rapid cognitive and functional deterioration, commensurate with a dementing process, and that their poor functional status is closely correlated with the cognitive deterioration. Recent neuroimaging studies described a pattern of posteriorization of grey and white matter deficits with poor outcome in schizophrenia, and produced a constellation of findings implicating primary processing of visual and auditory information as central to the impaired functional status in this patient group. These studies are summarized in detail in this review and future directions for neuroimaging assessment of very poor outcome patients with schizophrenia are suggested.

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“…Van Kammen et of (1988) 40. Keilp et of (1988) 41. Williamson et of (1989) One determinedly negative association worth noting is that of duration of illness.…”

Section: Clinical Correlates Of Ct Abnormalitiesmentioning

confidence: 99%

Computerised Tomography in Schizophrenia 15 Years On

Lewis

1990

Br J Psychiatry

153

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X-ray computerised tomography (CT) has revolutionised diagnostic radiology, particularly neuroradiology, since its inception (Houndsfield, 1973). It has been used widely in the systematic examination of brain structure in schizophrenia since the first study, 15 years ago, by Johnstone et al (1976). Several good reviews of the findings appeared in the mid-1980s (e.g. Reveley, 1985a; Shelton & Weinberger, 1986). Since then, although the spate of published studies has slowed, the quality of more recent published studies has in general been higher than the earlier ones, and it is time to look at the field again. This review examines the methodological pitfalls in CT research in schizophrenia and then attempts to draw some conclusions in the light of these.

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Cognitive impairment in schizophrenia: Specific relations to ventricular size and negative symptomatology

Cited by 60 publications

References 15 publications

Associations between psychosis endophenotypes across brain functional, structural, and cognitive domains

Associations between psychosis endophenotypes across brain functional, structural, and cognitive domains

Very poor outcome schizophrenia: Clinical and neuroimaging aspects

Computerised Tomography in Schizophrenia 15 Years On

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