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Record W27149503 · doi:10.1177/070674370705201101

Memory and Schizophrenia

2007· editorial· en· W27149503 on OpenAlexaffvenue
Martín Lepage

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2007
Typeeditorial
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsEpisodic memorySchizophrenia (object-oriented programming)PsychologyNeuropsychologyCognitionAssociation (psychology)Semantic memoryMemory impairmentCognitive psychologyPsychiatry

Abstract

fetched live from OpenAlex

It is generally accepted within the clinical and research community that cognitive dysfunctions represent a core feature of schizophrenia. Although neuropsychological studies in schizophrenia patients have repeatedly shown that multiple domains of cognition are affected, episodic memory measures consistently show the largest effect size, that is, the greatest disparity in performance between control and patient groups.1-3 Many patients exhibit episodic memory dysfunctions prior to the manifestation of clinical symptoms.4 Memory deficits are observed in young, medication-naive patients5'6 and remain stable over time.7 Disturbances in memory can also be seen in healthy first-degree relatives of patients with schizophrenia, who have never been exposed to treatment.8-10 In the last 2 decades, many researchers have come to the conclusion that episodic memory impairment indeed represents a core feature of schizophrenia,11,13 and since then, memory research in schizophrenia has been an expanding field of investigation. There is increased understanding of the conditions under which memory is more impaired,14 the association (or lack of association) with clinical symptoms has been repeatedly examined,11,15,16 and several recent functional neuroimaging studies17,23 have provided important information as to the neural correlates of these memory impairments. The 2 papers of this issue's In Review section examine separate but complementary aspects of memory problems in schizophrenia. Dr Jean-Marie Danion and his collaborators24 provide a scholarly review of experimental studies on memory impairments and schizophrenia. They show how theoretical models of episodic memory have significantly contributed to a better understanding of the memory processes selectively affected in schizophrenia and conclude that a better comprehension of those selective memory problems may guide future cognitive remediation efforts. In the second paper of this series,25 my colleagues and I review the literature on the effects of psychotic symptoms and negative symptoms (in particular, flat affect and anhedonia) on memory bias in schizophrenia patients. Memory bias refers to the modulatory influence that state or trait psychopathology may exert on memory performance for specific categories of stimuli, often emotional in nature. We argue that the exploration of such memory biases may provide fresh insights into the relation between memory functions and the symptoms of schizophrenia. Together, these 2 papers provide a good overview of the experimental and cognitively oriented work on memory in schizophrenia sufferers. The underlying framework of both our review and that of Dr Danion and colleagues is that episodic memory is not a simple construct but, instead, encompasses multiple cognitive processes. Although our understanding of memory function and dysfunction has greatly improved over the last 40 years or so, there are still many unanswered questions. As these 2 reviews clearly suggest, future studies on memory and schizophrenia will greatly benefit from developments in the field of cognitive psychology and cognitive neuroscience. We hope that these review papers may generate new research questions that will ultimately lead to a better understanding of this complex relation between memory functions and schizophrenia. [Sidebar] (Can J Psychiatry 2007;52:691-692) [Reference] References 1. Gold JM, Harvey PD. Cognitive deficits in schizophrenia. Psychiatr Clin North Am. 1993;16:295-312. 2. Saykin AJ, Gur RC, Gur RE, et al. Neuropsychological function in schizophrenia. Selective impairment in memory and learning. Arch Gen Psychiatry. 1991;48(7):618-624. 3. Heinrichs RW, Zakzanis KK. Neurocognitive deficit in schizophrenia: a quantitative review of the evidence. Neuropsychology. 1998;12(3):426-445. 4. Jones P, Rodgers B, Murray R, et al. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.284
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2007
Admission routes2
Has abstractyes

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