2020
DOI: 10.1016/j.jagp.2020.01.009
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Dimensions of Poststroke Depression and Neuropsychological Deficits in Older Adults

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Cited by 18 publications
(17 citation statements)
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“…These results are consistent with preliminary evidence that important correlates of post-stroke depression (eg, cognitive deficits, use of rehabilitation of services) may be specific to certain depressive symptoms. 12,13 There is also preliminary evidence that interventions targeting specific dimensions of post-stroke depression (eg, behavioral activation for anhedonia) may lead to improved therapeutic outcomes compared to usual care, 35,36 further supporting the potential benefit of examining dimensions of post-stroke depression rather than just total scale scores. According to studies applying the network theory of psychopathology to post-stroke depression, 37,38 biological, psychological, and social risk factors likely interact in complex and dynamic ways to contribute to and maintain post-stroke depressive symptoms.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…These results are consistent with preliminary evidence that important correlates of post-stroke depression (eg, cognitive deficits, use of rehabilitation of services) may be specific to certain depressive symptoms. 12,13 There is also preliminary evidence that interventions targeting specific dimensions of post-stroke depression (eg, behavioral activation for anhedonia) may lead to improved therapeutic outcomes compared to usual care, 35,36 further supporting the potential benefit of examining dimensions of post-stroke depression rather than just total scale scores. According to studies applying the network theory of psychopathology to post-stroke depression, 37,38 biological, psychological, and social risk factors likely interact in complex and dynamic ways to contribute to and maintain post-stroke depressive symptoms.…”
Section: Discussionmentioning
confidence: 99%
“…7,8 The multidimensionality of depression has been increasingly considered in studies of neurologically healthy individuals, 9 but has received less consideration in studies that investigate the natural course of post-stroke depression, which may obfuscate important differences between the longitudinal trajectories and/or interrelationships of depression symptom dimensions. For example, somatic symptoms such as fatigue may be more prominent and persistent than other depression symptoms after a stroke, 10,11 anhedonia/apathy may be uniquely associated with post-stroke cognitive deficits, 12 and negative affect and motivational deficits (eg, anhedonia) may be associated with less efficient use of rehabilitation services. 13 Elucidating how different symptom dimensions interact and change following a stroke can help elucidate different psychological mechanisms of depression, identify at-risk individuals, and highlight novel, more specific intervention targets.…”
Section: Introductionmentioning
confidence: 99%
“…7 In the context of this study, we tested the hypothesis that separating the MADRS into apathy and depression subscales would yield a better fit to the observed data compared to taking all the items on the MADRS to represent a unitary depressive construct. Previous studies have found support for a multi-factorial structure of the MADRS that included apathy in stroke patients, 8 but not in Parkinson's disease. 9 Importantly, CFA alone does not assess whether patients have apathy or depression per se, but rather identify whether patterns of responding on certain items are correlated.…”
Section: Clinical Measures and Confirmatory Factor Analysismentioning
confidence: 98%
“…It is estimated that nearly 1% of the world's population lives with the sequelae of cerebrovascular events [ 38 ]. Impaired motor control [ 39 ], general cognitive deficits [ 40 42 ], difficulties with speech production or processing [ 43 ], and altered mood states [ 44 ] are common debilitating effects of stroke [ 45 ]. For patients with poststroke motor dysfunction, rehabilitation interventions fall into two categories.…”
Section: Bci Applications In Nerve Rehabilitation After Strokementioning
confidence: 99%