Insight and the analytic dyad

Insight reflects the unitary nature of psychic activity in contrast to the fragmentation created in abstracting categories for the purpose of study and discussion. The unique analytic clinical dyad offers a structure in which intrapsychic fragments can be actualized and integrated. As a result, the analyst's contribution is more crucially one of exploration than of revelation. Whatever the area of examination, past or present, the link to analytic immediacy offers the opportunity to make meanings meaningful, to convert known facts to psychic truths. The analyst's clinical task requires his private self-analysis as part of the collaborative exploration of how the patient's mind works. Higher level ego functioning, including acutely active remembering, is at times transiently loosened in order for the analyst to share in the clinical work of discovery. The words the analyst uses to communicate his understanding convey only approximate manifest meanings, though they structurally reveal deeper messages of importance to the patient. These verbal approximations help stimulate self-reflection in the analysand as a step in the process of gaining insight.     

Possibilities and limits of the diagnosis of specific learning disorders with neurophysiologic methods of study

EEG correlation analyses were conducted with children with and without specific learning weaknesses. Reduced left parietal correlation was found in children with dyslectic problems, and in children with adjustment and concentration problems, reduced bioelectric correlation. The frequent evidence of brain injury criteria suggests a link with general affectations of correlation but not specifically with cerebral correlation affections. It would appear to be appropriate to employ computer-assisted EEG correlation analysis, together with frequency analysis and the examination of evoked potentials in objective neurometric diagnosis where children with learning weaknesses are involved.     

The association between intelligence level and brain volume measures: a negative finding

Ratings of pre-morbid intelligence level, derived from the hospital charts of 26 chronic schizophrenics, were correlated with the post-mortem brain volume measures of cortex, white matter, central grey matter, and ventricles. Contrary to hypothesis, no significant correlations were found.     

Hierarchical classes: Model and data analysis

A discrete, categorical model and a corresponding data-analysis method are presented for two-way two-mode (objects × attributes) data arrays with 0, 1 entries. The model contains the following two basic components: a set-theoretical formulation of the relations among objects and attributes; a Boolean decomposition of the matrix. The set-theoretical formulation defines a subset of the possible decompositions as consistent with it. A general method for graphically representing the set-theoretical decomposition is described. The data-analysis algorithm, dubbed HICLAS, aims at recovering the underlying structure in a data matrix by minimizing the discrepancies between the data and the recovered structure. HICLAS is evaluated with a simulation study and two empirical applications.This research was supported in part by a grant from the Belgian NSF (NFWO) to Paul De Boeck and in part by NSF Grant BNS-83-01027 to Seymour Rosenberg. We thank Iven Van Mechelen for clarifying several aspects of the Boolean algebraic formulation of the model and Phipps Arabie for his comments on an earlier draft.