Cognitive functioning of bipolar I patients and relatives from families with or without schizophrenia or schizoaffective disorder

Antila, M.; Partonen, Timo; Kieseppä, Tuula; Suvisaari, Jaana; Eerola, Mervi; Lönnqvist, Jouko; Tuulio‐Henriksson, Annamari

doi:10.1016/j.jad.2008.11.006

Cited by 29 publications

(33 citation statements)

References 35 publications

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“…Distribution-based thresholds ranged from 1SD to 2SD below comparison mean, with the most common being 1 (Table 2) and mixed BD samples (Table 3), although direct comparison is difficult owing to the variation in measures and thresholds used. In the only study where BD-I and BD-II samples could be directly compared (Sparding et al, 2015) (Table S3), prevalence was higher in the BD-I participants on several measures, but there was considerable overlap between the two samples.…”

Section: Prevalence Of Cognitive Impairmentmentioning

confidence: 99%

Prevalence and correlates of cognitive impairment in euthymic adults with bipolar disorder: A systematic review

Cullen

Ward

Graham

et al. 2016

Journal of Affective Disorders

189

112

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Section: Prevalence Of Cognitive Impairmentmentioning

confidence: 99%

Prevalence and correlates of cognitive impairment in euthymic adults with bipolar disorder: A systematic review

Cullen

Ward

Graham

et al. 2016

Journal of Affective Disorders

189

112

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“…Monkeys trained to apply the tips of their second and third fingers to a rotating disc show substantially enlarged cortical representations of those digits' tips after training (Jenkins et al, 1990). (Dias et al, 2011) Sensory processing deficits predict impaired cognitive ERP generation (Dias et al, 2011) k Attention, working memory, processing speed, cognitive control, learning and memory, receptive and expressive language, visual perceptual/constructional performance, fine-motor skills, and social cognition (Kalkstein et al, 2010) k Working memory and verbal memory predictk functional outcome (Hofer et al, 2011) k Auditory MMN related to k social cognition and k occupational outcome (Wynn et al, 2010) Bipolar disorder k P50, N100, and P200 auditory sensory gating (Lijffijt et al, 2009) k visual P1 (Yeap et al, 2009) m P1 andk N170 to happy vs sad faces (Degabriele et al, 2011) k Processing speed, cognitive control, learning and memory (Antila et al, 2009;Bora et al, 2010;Martinez-Aran et al, 2004) k Processing speed and verbal learning predict poorer social and work outcomes (Burdick et al, 2010) k Verbal memory associated with unemployment status (Dickerson et al, 2004) Major depression EEG a asymmetry (Gordon et al, 2010) k Visual MMN responses (Chang et al, 2011) k P1 latency to negative vs positive target stimuli (very early onset of negativity bias in emotion perception) (Yang et al, 2011) Abornmal amygdala responses to sad faces presented below consciousness (Victor et al, 2010) Mood-independent abnormalities in P2 response to emotional self-referent information (Shestyuk and Deldin, 2010) Mood-dependent abnormalities in effortful processing of emotional self-referent information (Shestyuk and Deldin, 2010) k Processing speed, cognitive control, learning and memory (Bora et al, 2010) k Cognition at age 20 predicts higher risk for depression at midlife (Franz et al, 2011) Enduring cognitive impairment in MDD has a significant effect on employment (Baune et al, 2010) k Poor episodic memory predict depressive symptoms and future MDD diagnosis (Airaksinen et al, 2007;Simons et al, 2009) Attention deficit disorder k Cortical reactivity to unpredictable sensory events …”

Section: Cognitive Training Must Address Limitations In Perceptual/prmentioning

confidence: 99%

Cognitive Training for Impaired Neural Systems in Neuropsychiatric Illness

Vinogradov

Fisher

Villers-Sidani

2011

Neuropsychopharmacol

282

209

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Neuropsychiatric illnesses are associated with dysfunction in distributed prefrontal neural systems that underlie perception, cognition, social interactions, emotion regulation, and motivation. The high degree of learning-dependent plasticity in these networksFcombined with the availability of advanced computerized technologyFsuggests that we should be able to engineer very specific training programs that drive meaningful and enduring improvements in impaired neural systems relevant to neuropsychiatric illness. However, cognitive training approaches for mental and addictive disorders must take into account possible inherent limitations in the underlying brain 'learning machinery' due to pathophysiology, must grapple with the presence of complex overlearned maladaptive patterns of neural functioning, and must find a way to ally with developmental and psychosocial factors that influence response to illness and to treatment. In this review, we briefly examine the current state of knowledge from studies of cognitive remediation in psychiatry and we highlight open questions. We then present a systems neuroscience rationale for successful cognitive training for neuropsychiatric illnesses, one that emphasizes the distributed nature of neural assemblies that support cognitive and affective processing, as well as their plasticity. It is based on the notion that, during successful learning, the brain represents the relevant perceptual and cognitive/affective inputs and action outputs with disproportionately larger and more coordinated populations of neurons that are distributed (and that are interacting) across multiple levels of processing and throughout multiple brain regions. This approach allows us to address limitations found in earlier research and to introduce important principles for the design and evaluation of the next generation of cognitive training for impaired neural systems. We summarize work to date using such neuroscience-informed methods and indicate some of the exciting future directions of this field.

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“…Similar cognitive dysfunctions are also found in first-degree relatives of bipolar patients, although to a lesser degree [1][2][3] . In addition, bipolar patients show large deficits in processing speed [1,2] , which may be impaired also in relatives of familial bipolar I disorder [4,5] . Robinson et al [6] have suggested that further research is required to investigate whether the cognitive dysfunction associated with bipolar disorder arises from a certain deficit.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Processing Speed on Cognitive Functioning in Patients with Familial Bipolar I Disorder and Their Unaffected Relatives

Antila

Kieseppä²,

Partonen³

et al. 2010

Psychopathology

Self Cite

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Background: Despite increasing evidence of cognitive dysfunctions in bipolar I disorder, there is no specific neuropsychological profile of the disorder. Sampling and Method: The aim of the present study was to investigate the effect of processing speed on other cognitive functions in a population-based sample of 32 familial bipolar I disorder patients, their 40 unaffected first-degree relatives and 55 controls. A neuropsychological test battery was administered to all participants, and the effect of processing speed on other cognitive functions was analyzed with the digit symbol subtest of the Wechsler Adult Intelligence Scale-Revised both in within- and between-group comparisons. Results: After adjusting for the effect of processing speed, only small differences were detected in short-delay cued recall and in long-delay memory between patients and controls, as well as between patients and relatives. Relatives scored better than controls only in verbal ability. Processing speed had a significant effect on nearly all scores, differing by group when patients, relatives and controls were examined separately, the effect being most extensive in patients. Conclusions: These results support the view that impaired processing speed in particular contributes to a range of cognitive dysfunctions in bipolar disorder. However, it may not be specific to bipolar I disorder and can possibly be considered a shared endophenotype with other mental disorders.

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Cognitive functioning of bipolar I patients and relatives from families with or without schizophrenia or schizoaffective disorder

Cited by 29 publications

References 35 publications

Prevalence and correlates of cognitive impairment in euthymic adults with bipolar disorder: A systematic review

Prevalence and correlates of cognitive impairment in euthymic adults with bipolar disorder: A systematic review

Cognitive Training for Impaired Neural Systems in Neuropsychiatric Illness

The Effect of Processing Speed on Cognitive Functioning in Patients with Familial Bipolar I Disorder and Their Unaffected Relatives

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