Journal articles on the topic 'Cognitive correlates'

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1

Maiti, Baijayanta, Jonathan M. Koller, Abraham Z. Snyder, Aaron B. Tanenbaum, Scott A. Norris, Meghan C. Campbell, and Joel S. Perlmutter. "Cognitive correlates of cerebellar resting-state functional connectivity in Parkinson disease." Neurology 94, no. 4 (December 17, 2019): e384-e396. http://dx.doi.org/10.1212/wnl.0000000000008754.

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ObjectiveTo investigate in a cross-sectional study the contributions of altered cerebellar resting-state functional connectivity (FC) to cognitive impairment in Parkinson disease (PD).MethodsWe conducted morphometric and resting-state FC-MRI analyses contrasting 81 participants with PD and 43 age-matched healthy controls using rigorous quality assurance measures. To investigate the relationship of cerebellar FC to cognitive status, we compared participants with PD without cognitive impairment (Clinical Dementia Rating [CDR] scale score 0, n = 47) to participants with PD with impaired cognition (CDR score ≥0.5, n = 34). Comprehensive measures of cognition across the 5 cognitive domains were assessed for behavioral correlations.ResultsThe participants with PD had significantly weaker FC between the vermis and peristriate visual association cortex compared to controls, and the strength of this FC correlated with visuospatial function and global cognition. In contrast, weaker FC between the vermis and dorsolateral prefrontal cortex was found in the cognitively impaired PD group compared to participants with PD without cognitive impairment. This effect correlated with deficits in attention, executive functions, and global cognition. No group differences in cerebellar lobular volumes or regional cortical thickness of the significant cortical clusters were observed.ConclusionThese results demonstrate a correlation between cerebellar vermal FC and cognitive impairment in PD. The absence of significant atrophy in cerebellum or relevant cortical areas suggests that this could be related to local pathophysiology such as neurotransmitter dysfunction.
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Uytterhaegen, Anna. "Cognitive Correlates of Bilingualism." Lingwistyka Stosowana 2/2016, no. 17 (June 27, 2016): 103–11. http://dx.doi.org/10.32612/uw.20804814.2016.2.pp.103-111.

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Easton, J. Donald. "Cognitive Correlates of Leukoaraiosis." Cerebrovascular Diseases 7, no. 3 (1997): 129–37. http://dx.doi.org/10.1159/000108178.

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Murdock, Kyle W., Kate B. Oddi, and David J. Bridgett. "Cognitive Correlates of Personality." Journal of Individual Differences 34, no. 2 (May 1, 2013): 97–104. http://dx.doi.org/10.1027/1614-0001/a000104.

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Research examining associations between executive functioning (EF) and personality traits has demonstrated promising results; however, examination of associations between Big Five personality traits and EF using an established EF framework has yet to be demonstrated. The present study examines associations between three aspects of EF (i.e., Cognitive Flexibility, Inhibition, and Updating/Monitoring), based upon a well-established EF framework, and Big Five personality traits. Participants (N = 182) completed neuropsychological measures of Cognitive Flexibility, Inhibition, and Updating/Monitoring as well as a self-report measure of personality. Better Updating/Monitoring was associated with lower Neuroticism and higher Openness. Openness was also positively associated with Cognitive Flexibility. These findings suggest that there may be a common underlying cognitive characteristic (i.e., Updating/Monitoring) linked with Neuroticism and Openness. Additional implications of these findings are discussed.
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Salthouse, Timothy A. "Correlates of cognitive change." Journal of Experimental Psychology: General 143, no. 3 (June 2014): 1026–48. http://dx.doi.org/10.1037/a0034847.

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Luca, Maria, Siriporn C. Chattipakorn, Sirawit Sriwichaiin, and Antonina Luca. "Cognitive-Behavioural Correlates of Dysbiosis: A Review." International Journal of Molecular Sciences 21, no. 14 (July 8, 2020): 4834. http://dx.doi.org/10.3390/ijms21144834.

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Evidence suggests an association between an altered gut microbiota (dysbiosis), cognitive performance and behaviour. This paper provides an overview of the current literature regarding the cognitive-behavioural correlates of dysbiosis, with special attention on the clinical and biochemical mechanisms underlying the association between dysbiosis, cognition (mild cognitive impairment and dementia) and behaviour (depression, schizophrenia, addiction). After providing an overview of the evidence, the review discusses the molecular aspects that could account for the cognitive-behavioural correlates of dysbiosis. Shedding light on this topic could provide insights regarding the pathogenesis of these burdening neuropsychiatric disorders and even suggest future therapeutic strategies.
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Simonetti, A., E. Bernardi, G. Bartolucci, O. Ferrara, S. Ruggiero, M. Di Nicola, D. Janiri, and G. Sani. "Cognitive correlates of mixed depression." European Psychiatry 65, S1 (June 2022): S87. http://dx.doi.org/10.1192/j.eurpsy.2022.261.

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Introduction Mixed depressive states portend greater rates of impulsivity, attempted suicide, treatment resistance, and poorer outcome than non-mixed forms of depression. The neurocognitive bases of such affective states have not been defined yet. Objectives This work represents an attempt to clarify the neuropsychology underlying mixed depressive states. Methods Thirty subjects with affective disorders with mixed depression (MxD), 54 subjects with non-mixed depression (nonMxD), 73 euthymic subjects (Eu) and 93 healthy comparisons (HC) underwent a neurocognitive battery including the Trail-Making Test (TMT), the Controlled Word Fluency Test (WFT) and the Semantic Fluency Test (SFT), the Wisconsin Card Sorting Test (WCST, the Rey Auditory Verbal Learning Test RAVLT, the Rey-Osterrieth Complex Figure Test ROCFT, the Raven’s Progressive Matrices (RPM), and the Interference Component of the Stroop Test (ST). Between-group differences were performed through multiple one-way analyses of variance. Post-hoc analyses were performed using Tukey post-hoc tests. Results HC performed better than the three patient groups in all the aforementioned neurocognitive tests. Eu performed better in RPM, TMT, SFT than nonMxD, and better on ST WCST than both nonMxD and MxD. MxD showed better performances in RPM, TMT-A, WCST than nonMxD, and more errors and less reaction times in the ST than nonMxD. Conclusions Mixed depressive states are characterized by enhanced attentional resources and greater set shifting abilities than non-mixed depressive states. On the other hand, they have less cognitive control than non-mixed depression. Such findings might explain some typical features observed in subjects with mixed depression, such impulsivity, suicidality, emotional reactivity and behavioral dyscontrol. Disclosure No significant relationships.
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Paris, Scott G. "Cognitive Correlates of Children's Reading." Contemporary Psychology: A Journal of Reviews 31, no. 2 (February 1986): 107. http://dx.doi.org/10.1037/024493.

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Rypma, Bart, Jeffrey S. Berger, Vivek Prabhakaran, Benjamin Martin Bly, Daniel Y. Kimberg, Bharat B. Biswal, and Mark D'Esposito. "Neural correlates of cognitive efficiency." NeuroImage 33, no. 3 (November 2006): 969–79. http://dx.doi.org/10.1016/j.neuroimage.2006.05.065.

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Guyader, N., C. Marendaz, C. Pichat, JF LeBas, and C. Peyrin. "Neural correlates of cognitive saccades." NeuroImage 47 (July 2009): S66. http://dx.doi.org/10.1016/s1053-8119(09)70354-4.

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Suedfeld, Peter, and Stanley Coren. "Cognitive correlates of conceptual complexity." Personality and Individual Differences 13, no. 11 (November 1992): 1193–99. http://dx.doi.org/10.1016/0191-8869(92)90255-n.

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Brett, Francesca M., and Hugh Kearney. "Neuropathology correlates of cognitive assessments." Irish Journal of Medical Science (1971 -) 187, no. 3 (January 18, 2018): 835–44. http://dx.doi.org/10.1007/s11845-017-1733-6.

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Whalley, Lawrence J., Roger T. Staff, Helen C. Fox, and Alison D. Murray. "Cerebral correlates of cognitive reserve." Psychiatry Research: Neuroimaging 247 (January 2016): 65–70. http://dx.doi.org/10.1016/j.pscychresns.2015.10.012.

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Robertson, G., P. J. Taylor, and J. C. Gunn. "Does Violence Have Cognitive Correlates?" British Journal of Psychiatry 151, no. 1 (July 1987): 63–68. http://dx.doi.org/10.1192/bjp.151.1.63.

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The relationship between cognitive function and violence in 76 remanded prisoners, without formal psychiatric illness, was investigated. The violent group tended to be of slightly lower general ability than the non-violent group, but not abnormally so in relation to the general population; no relationship was found between specific patterns of cognitive functioning and violence. The violent group reported significantly higher levels of neurotic symptoms than the non-violent group, and were more socially deviant. To a small extent general intelligence (reasoning ability), in interaction with many other factors, may be related to a propensity for violent behaviour, but no particular aspect of cortical functioning seems to be related to violence.
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De Jongh, A., P. Muris, G. ter Horst, F. J. Van Zuuren, and C. A. De Wit. "Cognitive Correlates of Dental Anxiety." Journal of Dental Research 73, no. 2 (February 1994): 561–66. http://dx.doi.org/10.1177/00220345940730021201.

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16

Zaffaroni, M. "Neuroimmunological correlates of cognitive impairment." Italian Journal of Neurological Sciences 19, S6 (1998): S418—S423. http://dx.doi.org/10.1007/bf00539599.

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Kim, Young-Suk, and Beth Phillips. "Cognitive Correlates of Listening Comprehension." Reading Research Quarterly 49, no. 3 (March 28, 2014): 269–81. http://dx.doi.org/10.1002/rrq.74.

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18

Brancucci, Alfredo. "Neural correlates of cognitive ability." Journal of Neuroscience Research 90, no. 7 (March 16, 2012): 1299–309. http://dx.doi.org/10.1002/jnr.23045.

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19

Ortiz-Gil, Jordi, Edith Pomarol-Clotet, Raymond Salvador, Erick J. Canales-Rodríguez, Salvador Sarró, Jesús J. Gomar, Amalia Guerrero, et al. "Neural correlates of cognitive impairment in schizophrenia." British Journal of Psychiatry 199, no. 3 (September 2011): 202–10. http://dx.doi.org/10.1192/bjp.bp.110.083600.

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BackgroundCognitive impairment is an established feature of schizophrenia. However, little is known about its relationship to the structural and functional brain abnormalities that characterise the disorder.AimsTo identify structural and/or functional brain abnormalities associated with schizophrenic cognitive impairment.MethodWe carried out structural magnetic resonance imaging (MRI) and voxel-based morphometry in 26 participants who were cognitively impaired and 23 who were cognitively preserved, all with schizophrenia, plus 39 matched controls. Nineteen of those who were cognitively impaired and 18 of those who were cognitively preserved plus 34 controls also underwent functional MRI during performance of a working memory task.ResultsNo differences were found between the participants who were cognitively intact and those who were cognitively impaired in lateral ventricular volume or whole brain volume. Voxel-based morphometry also failed to reveal clusters of significant difference in grey and white matter volume between these two groups. However, during performance of the n-back task, the participants who were cognitively impaired showed hypoactivation compared with those who were cognitively intact in the dorsolateral prefrontal cortex among other brain regions.ConclusionsCognitive impairment in schizophrenia is not a function of the structural brain abnormality that accompanies the disorder but has correlates in altered brain function.
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Rolandi, Elena, Ilaria Stella, Samantha Galluzzi, Federica Ribaldi, Claudia Ambrosi, Roberto Gasparotti, Harald Hampel, Giovanni B. Frisoni, and Enrica Cavedo. "NEURAL AND COGNITIVE CORRELATES OF COGNITIVE RESERVE IN SUBJECTIVE COGNITIVE DECLINE." Alzheimer's & Dementia 13, no. 7 (July 2017): P929. http://dx.doi.org/10.1016/j.jalz.2017.07.368.

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21

Srivastava, Hemant, Allen Joop, Raima A. Memon, Jennifer Pilkington, Kimberly H. Wood, Marissa Natelson Love, and Amy W. Amara. "Taking the Time to Assess Cognition in Parkinson’s Disease: The Clock Drawing Test." Journal of Parkinson's Disease 12, no. 2 (February 15, 2022): 713–22. http://dx.doi.org/10.3233/jpd-212802.

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Background: Cognitive impairment is common and disabling in Parkinson’s disease (PD). Cognitive testing can be time consuming in the clinical setting. One rapid test to detect cognitive impairment in non-PD populations is the Clock Drawing Test (CDT), which calls upon the brain’s executive and visuospatial abilities to draw a clock designating a certain time. Objective: Test the hypothesis that PD participants would perform worse on CDT compared to controls and that CDT would correlate with other measures of cognition. Methods: This study evaluated two independent CDT scoring systems and differences in CDT performance between PD (N = 97) and control (N = 54) participants using a two-sample t-test. Pearson’s correlations were conducted between the CDT and tests of sleepiness (Epworth Sleepiness Scale) and vigilance (Psychomotor Vigilance Test); executive function (Trails B-A); and global cognition (Montreal Cognitive Assessment). Receiver operating characteristic curves were used to determine cut points on the CDT that identify individuals who need additional cognitive testing. Results: PD participants had worse performance on CDT compared to controls. The CDT was correlated with executive function (Trails B-A) and global cognition (Montreal Cognitive Assessment). The CDT correlated with vigilance (Psychomotor Vigilance Task) only in healthy controls. However, the CDT was not correlated with measures of sleepiness (Epworth Sleepiness Scale) in either group. A cut point of 9 on the Rouleau scale and 18 on the Mendez scale identified PD participants with cognitive impairment. Conclusion: The CDT is a rapid clinical cognitive assessment that is feasible in PD and correlates with other measures of cognition.
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Michelson, Larry, Karen Marchione, Norman Marchione, Sandra Testa, and Matig Mavissakalian. "Cognitive Correlates and Outcome of Cognitive, Behavioral and Physiological Treatments of Agoraphobia." Psychological Reports 63, no. 3 (December 1988): 999–1004. http://dx.doi.org/10.2466/pr0.1988.63.3.999.

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The primary aim of this investigation was to ascertain the cognitive correlates and outcome of cognitive, behavioral, and psychophysiological treatments of agoraphobia. 39 severe and chronic agoraphobics with panic attacks, diagnosed using DSM-III criteria, were randomly assigned to one of the three cognitive-behavioral treatments: paradoxical intention, graduated exposure, or progressive deep muscle relaxation training. The effects of the treatments on cognition measures with regard to differential outcome and maintenance were examined. Exploratory analyses were also performed to examine sex differences, demographic, clinical and historical measures, with regard to pretreatment cognitive measures.
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Okonkwo, Ozioma C., Virginia G. Wadley, H. Randall Griffith, Karlene Ball, and Daniel C. Marson. "Cognitive Correlates of Financial Abilities in Mild Cognitive Impairment." Journal of the American Geriatrics Society 54, no. 11 (November 2006): 1745–50. http://dx.doi.org/10.1111/j.1532-5415.2006.00916.x.

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Shin, Gyeonghee, and Chobok Kim. "Neural correlates of cognitive style and flexible cognitive control." NeuroImage 113 (June 2015): 78–85. http://dx.doi.org/10.1016/j.neuroimage.2015.03.046.

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Kar, Sujita Kumar, and Meha Jain. "Current understandings about cognition and the neurobiological correlates in schizophrenia." Journal of Neurosciences in Rural Practice 07, no. 03 (July 2016): 412–18. http://dx.doi.org/10.4103/0976-3147.176185.

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ABSTRACTSchizophrenia is a severe mental disorder. Cognitive deficits are one of the core features of schizophrenia. Multiple domains of cognition (executive function, attention/vigilance, working memory, verbal fluency, visuospatial skills, processing speed, and social cognition) are affected in patients with schizophrenia. Deficits in cognition led to impairment in the real world functioning. Identifying the cognitive deficits and early intervention is required for better functional outcome. This review focuses on conceptual understanding of cognition with its neurobiological correlates in schizophrenia and its different clinical implications.
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Tarasova, I. V., O. A. Razumnikova, O. A. Trubnikova, Yu A. Mezentsev, D. S. Kupriyanova, and O. L. Barbarash. "Neurophysiological correlates of postoperative cognitive disorders." Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova 121, no. 2 (2021): 18. http://dx.doi.org/10.17116/jnevro202112102118.

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Ploger, Gavin W., Johnanna Dunaway, Patrick Fournier, and Stuart Soroka. "The psychophysiological correlates of cognitive dissonance." Politics and the Life Sciences 40, no. 2 (2021): 202–12. http://dx.doi.org/10.1017/pls.2021.15.

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AbstractThis preregistered study uses a combination of physiological measures to explore both the activation and reduction components of cognitive dissonance theory. More precisely, we use skin conductance to identify dissonance arousal, a short-term affective response to counter-attitudinal stimuli, and then use heart rate variability to measure dissonance reduction, which reflects longer-term patterns of emotional regulation and information processing. Our preliminary tests find weak evidence of dissonance arousal and no evidence of dissonance reduction using this physiological approach. We consequently reconsider (albeit optimistically) the use of physiology in future work on cognitive dissonance. We also discuss the implications of our findings for selective exposure and motivated reasoning.
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Genovese, Jeremy E. C., and Kathleen D. Little. "Mesomorphy Correlates With Experiential Cognitive Style." Journal of Genetic Psychology 172, no. 4 (October 2011): 433–39. http://dx.doi.org/10.1080/00221325.2010.536274.

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ROWAN, KATHERINE E. "Cognitive Correlates of Explanatory Writing Skill." Written Communication 7, no. 3 (July 1990): 316–41. http://dx.doi.org/10.1177/0741088390007003002.

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Coffey, C. Edward, Graham Ratcliff, Judith A. Saxton, R. Nick Bryan, Linda P. Fried, and Joseph F. Lucke. "Cognitive Correlates of Human Brain Aging." Journal of Neuropsychiatry and Clinical Neurosciences 13, no. 4 (November 2001): 471–85. http://dx.doi.org/10.1176/jnp.13.4.471.

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31

Robertson, Graham, and Pamela J. Taylor. "Some cognitive correlates of schizophrenic illnesses." Psychological Medicine 15, no. 1 (February 1985): 81–98. http://dx.doi.org/10.1017/s003329170002095x.

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SynopsisA battery of tests was developed to assess verbal, non-verbal and mixed cognitive functions. Interest was based on pattern of response rather than absolute scores. The subjects were 167 men held in prison on criminal charges or in a maximum security hospital after conviction. The present paper deals exclusively with two subgroups: the 61 schizophrenic men and the 41 men with no psychiatric disorder. The schizophrenic group as a whole presented a very different cognitive pattern from the ‘normal’ men. First, with the exception of the vocabulary subtest of the WAIS, the schizophrenics were inferior on all tests, whether verbal, non-verbal or mixed function. Secondly, they showed considerably more variation within subtests. The schizophrenic sample was therefore subdivided into four clinical groups. Each showed a distinctive cognitive profile. It is argued that these cognitive differences reflect real differences in the disorder and type of illness being experienced by members of these subgroups.
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Robertson, Graham, and Pamela J. Taylor. "Some cognitive correlates of affective disorders." Psychological Medicine 15, no. 2 (May 1985): 297–309. http://dx.doi.org/10.1017/s0033291700023576.

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SynopsisSeventy-one men completed a battery of cognitive tests which were designed to reflect verbal analytic and non-verbal holistic functioning. Interest centred around pattern of response. Thirty men were suffering from an affective disorder and forty-one were well. All the men were in prison, the majority awaiting trial. The affective disorder group was subdivided into three categories: men who had a history of manic-depressive illness; a group of unipolar, psychotically depressed men; and men who were regarded as being depressed in reaction to circumstances. All three groups showed specific difficulty in dealing with spatial/holistic tasks, other factors being held constant. They were also found to differ in a number of other respects. The possible significance of these differences is discussed.
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Wolf, Henrike, Anke Hensel, Frithjof Kruggel, Steffi G. Riedel-Heller, Thomas Arendt, Lars-Olof Wahlund, and Hermann-Josef Gertz. "Structural correlates of mild cognitive impairment." Neurobiology of Aging 25, no. 7 (August 2004): 913–24. http://dx.doi.org/10.1016/j.neurobiolaging.2003.08.006.

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Bernard, Philippe, Tiziana Rizzo, Ingrid Hoonhorst, Gaétane Deliens, Sarah J. Gervais, Julia Eberlen, Clémence Bayard, Paul Deltenre, Cécile Colin, and Olivier Klein. "The Neural Correlates of Cognitive Objectification." Social Psychological and Personality Science 9, no. 5 (August 16, 2017): 550–59. http://dx.doi.org/10.1177/1948550617714582.

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At an early stage of visual processing, human faces and bodies are typically associated with larger N170s when presented in an inverted (vs. upright) position, indexing the involvement of configural processing. We challenged this view and hypothesized that sexualized bodies would not be sensitive to inversion, thereby suggesting that they would be processed similarly to objects. Participants saw sexualized male and female bodies, nonsexualized male and female bodies, as well as objects in both upright and inverted positions while we recorded the N170. Results indicated that inverted (vs. upright) nonsexualized male and female bodies were associated with larger N170 amplitudes. In contrast, no N170 amplitude inversion effect emerged for sexualized male and female bodies or objects. These results suggest that sexualized bodies are processed similarly to objects and quite differently than nonsexualized bodies. We discuss the results and their implications in the light of the literatures in person perception and objectification.
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Yurgelun-Todd, Deborah A., William D. S. Killgore, and Christina B. Cintron. "Cognitive Correlates of Medial Temporal Lobe Development across Adolescence: A Magnetic Resonance Imaging Study." Perceptual and Motor Skills 96, no. 1 (February 2003): 3–17. http://dx.doi.org/10.2466/pms.2003.96.1.3.

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Adolescent development involves progressive changes in brain structure and cognitive function, but relatively few studies have documented the cognitive correlates of differences in structural brain volumes in this age group. We examined the relations among age, cognitive processing, and mesial temporal lobe volume in 37 children and adolescents. Participants completed a brief cognitive assessment battery and underwent volumetric structural magnetic resonance imaging. For the sample as a whole, amygdala volume correlated positively with age, and larger volumes of both the left and right amygdala were significantly associated with better performance on several cognitive tasks assessing academic skills and acquired knowledge in long-term memory. In contrast, hippocampal volumes did not correlate with adolescents' age and were less frequently correlated with cognitive performance. Amygdala volumes were most predictive of cognitive abilities in boys, whereas for girls, the volume of the hippocampus contributed more frequently to the prediction of cognitive abilities. These data suggest that mensurable differences in mesial temporal volumes during adolescence are reliably associated with long-term cognitive abilities, particularly academic skills and the acquisition of intellectual knowledge, and that these relationships may differ as a function of the sex of the child.
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Bogdanova, Yelena, and Alice Cronin-Golomb. "Alexithymia and Apathy in Parkinson’s Disease: Neurocognitive Correlates." Behavioural Neurology 27, no. 4 (2013): 535–45. http://dx.doi.org/10.1155/2013/682393.

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Non-motor symptoms such as neuropsychiatric and cognitive dysfunction have been found to be common in Parkinson’s disease (PD) but the relation between such symptoms is poorly understood. We focused on alexithymia, an impairment of affective and cognitive emotional processing, as there is evidence for its interaction with cognition in other disorders. Twenty-two non-demented PD patients and 22 matched normal control adults (NC) were administered rating scales assessing neuropsychiatric status, including alexithymia, apathy, and depression, and a series of neuropsychological tests. As expected, PD patients showed more alexithymia than NC, and there was a significant association between alexithymia and disease stage. Alexithymia was associated with performance on non-verbally mediated measures of executive and visuospatial function, but not on verbally mediated tasks. By contrast, there was no correlation between cognition and ratings of either depression or apathy. Our findings demonstrate a distinct association of alexithymia with non-verbal cognition in PD, implicating right hemisphere processes, and differentiate between alexithymia and other neuropsychiatric symptoms in regard to PD cognition.
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August, Sharon M., Jacqueline N. Kiwanuka, Robert P. McMahon, and James M. Gold. "The MATRICS Consensus Cognitive Battery (MCCB): Clinical and cognitive correlates." Schizophrenia Research 134, no. 1 (January 2012): 76–82. http://dx.doi.org/10.1016/j.schres.2011.10.015.

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Cheung, Ethan Siu Leung, and Ada Mui. "The Association between Environmental Factors, Race, and Cognitive Status." Innovation in Aging 4, Supplement_1 (December 1, 2020): 894. http://dx.doi.org/10.1093/geroni/igaa057.3296.

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Abstract Based on the data from National Social Life, Health and Aging Project, Wave 3, this study examined two research questions: what is the role of race in predicting cognitive status? and what are predictors of cognitive status between white and black older adults? Cognitive status was assessed using the 18-item survey-adapted Montreal Cognitive Assessment. Using the ecological framework, correlates of cognitive status were conceptualized in three levels of environments: micro- (personal health), meso- (social relationship), and macro-environments (community characteristics). Hierarchical regressions analyses were employed. Findings indicated that 83% of the sample (n= 2,829) were whites and the mean age was 72.95. Bivariate analyses suggested significant racial differences in cognitive status, marital status, income, education, health, social relationship, and community characteristics. Additive and interactive models showed that race had an independent effect as well as joint effects with the three levels of environments in explaining cognitive status. Parallel regression analyses for each racial group were undertaken and models were significant (P < .0001). In two separate models, common predictors for better cognition included being younger, more educated, fewer IADL impairments, and less depression. For older whites, unique correlates for better cognition were being female, higher income, sense of control in life, safer community, and neighbor relations. The only unique correlate for older blacks to have better cognition was community cohesion. Results provided insights on racial differences in cognition experienced among community-dwelling older Americans, and emphasized the need for social programs that promote race-sensitive, age-friendly communities to protect against cognitive decline.
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Geraedts, Victor J., Lennard I. Boon, Johan Marinus, Alida A. Gouw, Jacobus J. van Hilten, Cornelis J. Stam, Martijn R. Tannemaat, and Maria Fiorella Contarino. "Clinical correlates of quantitative EEG in Parkinson disease." Neurology 91, no. 19 (October 5, 2018): 871–83. http://dx.doi.org/10.1212/wnl.0000000000006473.

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ObjectiveTo assess the relevance of quantitative EEG (qEEG) measures as outcomes of disease severity and progression in Parkinson disease (PD).MethodsMain databases were systematically searched (January 2018) for studies of sufficient methodologic quality that examined correlations between clinical symptoms of idiopathic PD and cortical (surface) qEEG metrics.ResultsThirty-six out of 605 identified studied were included. Results were classified into 4 domains: cognition (23 studies), motor function (13 studies), responsiveness to interventions (7 studies), and other (10 studies). In cross-sectional studies, EEG slowing correlated with global cognitive impairment and with diffuse deterioration in other domains. In longitudinal studies, decreased dominant frequency and increased θ power, reflecting EEG slowing, were biomarkers of cognitive deterioration at an individual level. Results on motor dysfunction and treatment yielded contrasting findings. Studies on functional connectivity at an individual level and longitudinal studies on other domains or on connectivity measures were lacking.ConclusionqEEG measures reflecting EEG slowing, particularly decreased dominant frequency and increased θ power, correlate with cognitive impairment and predict future cognitive deterioration. qEEG could provide reliable and widely available biomarkers for nonmotor disease severity and progression in PD, potentially promoting early diagnosis of nonmotor symptoms and an objective monitoring of progression. More studies are needed to clarify the role of functional connectivity and network analyses.
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Dumitrascu, Oana M., Ryan Rosenberry, Dale S. Sherman, Maziyar M. Khansari, Julia Sheyn, Tania Torbati, Ayesha Sherzai, et al. "Retinal Venular Tortuosity Jointly with Retinal Amyloid Burden Correlates with Verbal Memory Loss: A Pilot Study." Cells 10, no. 11 (October 28, 2021): 2926. http://dx.doi.org/10.3390/cells10112926.

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Introduction: Retinal imaging is a non-invasive tool to study both retinal vasculature and neurodegeneration. In this exploratory retinal curcumin-fluorescence imaging (RFI) study, we sought to determine whether retinal vascular features combined with retinal amyloid burden correlate with the neurocognitive status. Methods: We used quantitative RFI in a cohort of patients with cognitive impairment to automatically compute retinal amyloid burden. Retinal blood vessels were segmented, and the vessel tortuosity index (VTI), inflection index, and branching angle were quantified. We assessed the correlations between retinal vascular and amyloid parameters, and cognitive domain Z-scores using linear regression models. Results: Thirty-four subjects were enrolled and twenty-nine (55% female, mean age 64 ± 6 years) were included in the combined retinal amyloid and vascular analysis. Eleven subjects had normal cognition and 18 had impaired cognition. Retinal VTI was discriminated among cognitive scores. The combined proximal mid-periphery amyloid count and venous VTI index exhibited significant differences between cognitively impaired and cognitively normal subjects (0.49 ± 1.1 vs. 0.91 ± 1.4, p = 0.006), and correlated with both the Wechsler Memory Scale-IV and SF-36 mental component score Z-scores (p < 0.05). Conclusion: This pilot study showed that retinal venular VTI combined with the proximal mid-periphery amyloid count could predict verbal memory loss. Future research is needed to finesse the clinical application of this retinal imaging-based technology.
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Vanheule, Stijn, Mattias Desmet, and Reitske Meganck. "What the Heart Thinks, the Tongue Speaks: A Study on Depression and Lexical Choice." Psychological Reports 104, no. 2 (April 2009): 473–81. http://dx.doi.org/10.2466/pr0.104.2.473-481.

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The present study examined symptom-specificity in depression, testing the hypothesis that affective, cognitive, and somatic dimensions in depressive symptoms, as measured with the Beck Depression Inventory–II, cohere, respectively, with the use of affective-, cognitive-, and somatic-related words in natural language, as measured with the Linguistic Inquiry and Word Count. Based on questionnaire and interview data from 32 mental health outpatients, analyses indicate scores for affective depressive symptoms correlate significantly with affective word use, cognitive depressive symptoms are related to cognitively oriented word use combined with affective word use, and the presence of somatic depressive symptoms correlates significantly with words referring to physical states and functions. These results indicate that different facets of depression have specific correlates and that natural word use serves as a psychological marker. From a psychometric point of view, this study substantiates the concurrent validity of the Linguistic Inquiry and Word Count (LIWC2001) categories under study and the Beck Depression Inventory-II subscales for affective, cognitive, and somatic symptoms.
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Bijsterbosch, Janine, Stephen Smith, Sophie Forster, Oliver P. John, and Sonia J. Bishop. "Resting State Correlates of Subdimensions of Anxious Affect." Journal of Cognitive Neuroscience 26, no. 4 (April 2014): 914–26. http://dx.doi.org/10.1162/jocn_a_00512.

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Resting state fMRI may help identify markers of risk for affective disorder. Given the comorbidity of anxiety and depressive disorders and the heterogeneity of these disorders as defined by DSM, an important challenge is to identify alterations in resting state brain connectivity uniquely associated with distinct profiles of negative affect. The current study aimed to address this by identifying differences in brain connectivity specifically linked to cognitive and physiological profiles of anxiety, controlling for depressed affect. We adopted a two-stage multivariate approach. Hierarchical clustering was used to independently identify dimensions of negative affective style and resting state brain networks. Combining the clustering results, we examined individual differences in resting state connectivity uniquely associated with subdimensions of anxious affect, controlling for depressed affect. Physiological and cognitive subdimensions of anxious affect were identified. Physiological anxiety was associated with widespread alterations in insula connectivity, including decreased connectivity between insula subregions and between the insula and other medial frontal and subcortical networks. This is consistent with the insula facilitating communication between medial frontal and subcortical regions to enable control of physiological affective states. Meanwhile, increased connectivity within a frontoparietal–posterior cingulate cortex–precunous network was specifically associated with cognitive anxiety, potentially reflecting increased spontaneous negative cognition (e.g., worry). These findings suggest that physiological and cognitive anxiety comprise subdimensions of anxiety-related affect and reveal associated alterations in brain connectivity.
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Souza, Maria de Fátima Dias de, Maíra Glória de Freitas Cardoso, Érica Leandro Marciano Vieira, Natália Pessoa Rocha, Talita Hélen Ferreira e. Vieira, Alberlúcio Esquirio Pessoa, Vinicius Sousa Pietra Pedroso, et al. "Clinical correlates of social cognition after an ischemic stroke: preliminary findings." Dementia & Neuropsychologia 15, no. 2 (April 2021): 223–29. http://dx.doi.org/10.1590/1980-57642021dn15-020010.

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ABSTRACT. The co-occurrence of post-stroke behavioral disorders and cognitive impairment has been extensively investigated. However, studies usually do not include social cognition among the assessed cognitive domains. Objective: To investigate the potential association between facial emotion recognition, a measure of social cognition, and behavioral and cognitive symptoms in the subacute phase of ischemic stroke. Methods: Patients admitted to a Stroke Unit with ischemic stroke were followed up to 60 days. At this time point, they were evaluated with the following tools: Mini-Mental State Examination (MMSE); Frontal Assessment Battery (FAB); Visual Memory Test of the Brief Cognitive Battery (VMT); Phonemic Verbal Fluency (F-A-S Test); Digit Span; Facial Emotion Recognition Test (FERT) and Hospital Anxiety and Depression Scale (HADS). A control group composed of 21 healthy individuals also underwent the same evaluation. Results: Eighteen patients with ischemic stroke were enrolled in this study. They had similar age, sex and schooling years compared to controls. Depression symptoms and episodic memory deficits were significantly more frequent in patients compared to controls. The recognition of sadness expression positively correlated with the levels of anxiety and depression, while and the recognition of fear expression negatively correlated with depression in the stroke group. Conclusions: After an ischemic stroke, patients exhibit impairment in social cognition skills, specifically facial emotion recognition, in association with behavioral symptoms.
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Samfira, Elena Mirela, and Florin Alin Sava. "Cognitive-behavioral correlates of pupil control ideology." PLOS ONE 16, no. 2 (February 10, 2021): e0246787. http://dx.doi.org/10.1371/journal.pone.0246787.

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Teacher’s pupil control ideology is a central feature for the quality of the teacher-student relationship, which, in turn, impacts the teacher’s level of well-being. The pupil control ideology refers to a teacher’s belief system along a continuum from humanistic to custodial views. Teachers with humanistic orientation view students as responsible and, therefore, they exert a lower degree of control to manage students’ classroom behaviors. Teachers with a custodial orientation view students as untrustworthy and, therefore, they exert a higher degree of control to manage students’ classroom behaviors. The relationship between pupil control ideology and dysfunctional beliefs originated from the cognitive-behavioral therapy framework has not been investigated, despite existing evidence suggesting that the pupil control ideology is linked to stress and burnout. One hundred fifty-five teachers completed a set of self-report questionnaires measuring: (i) teacher’s pupil-control ideology; (ii) perfectionistic and hostile automatic thoughts; (iii) irrational beliefs; (iv) unconditional self-acceptance; (v) early maladaptive schemas; and (vi) dimensions of perfectionism. The result suggests that teachers who adopt a custodial view on pupil control ideology endorse more dysfunctional beliefs than teachers who adopt a humanistic view. They tend to present a higher level of perfectionism, unrelenting standards, and problematic relational beliefs, including schemas of mistrust and entitlement. They also present more often other-directed demands and derogation of other thoughts. Such results picture a dysfunctional view on pupils who misbehave, as adversaries who threaten their rigid and/or perfectionistic expectations.
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Bachelor, Alexandra, Patricia Bleau, and Danielle Raymond. "Cognitive and Psychodynamic Correlates of Depressive Symptomatology." Psychological Reports 78, no. 3 (June 1996): 824–26. http://dx.doi.org/10.2466/pr0.1996.78.3.824.

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31 depressed, 26 nondepressed participants completed measures reflecting putative cognitive and psychodynamic characteristics of self-reported depression. Of the 16 variables 9 discriminated the groups in the expected direction. Ten characteristics correlated significantly with scores on the Beck Depression Inventory, 4 reflecting negative automatic drinking, two of which (Negative Self-concepts and Expectations, Low Self-esteem) were important predictors of severity of depression.
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Nuovo, S. Di, and S. Buono. "Cognitive Correlates of Laterality in Mental Retardation." Perceptual and Motor Skills 96, no. 2 (April 2003): 400–402. http://dx.doi.org/10.2466/pms.2003.96.2.400.

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Bensur, Barbara J., John Eliot, and Laxmin Hegde. "Cognitive Correlates of Complexity of Children's Drawings." Perceptual and Motor Skills 85, no. 3 (December 1997): 1079–89. http://dx.doi.org/10.2466/pms.1997.85.3.1079.

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240 children (60 each at ages 4, 6, 8, and 10 years) were administered Dennis' (1987) Five Drawing Tasks and five additional developmental tasks. Three hypotheses were tested: that object recognition and working memory would be related to increasing complexity, that both would load on separate factors, and that higher-order analyses would indicate an underlying second-order spatial factor. Analysis included very strong zero-order correlations with age. When age was partialed out, three first-order factors were obtained. Higher-order analyses yielded one second-order factor which appeared related to a general factor of spatial intelligence.
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Tarasova, I. V., O. A. Razumnikova, O. A. Trubnikova, Y. A. Mezentsev, D. S. Kupriyanova, and O. L. Barbarash. "Neurophysiological Correlates of Post-Operative Cognitive Disorders." Neuroscience and Behavioral Physiology 51, no. 9 (November 2021): 1234–38. http://dx.doi.org/10.1007/s11055-021-01185-0.

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Shaked, Danielle, Meagan Farrell, Edward Huey, Janet Metcalfe, Sarah Cines, Jason Karlawish, Elizabeth Sullo, and Stephanie Cosentino. "Cognitive correlates of metamemory in Alzheimer’s disease." Neuropsychology 28, no. 5 (2014): 695–705. http://dx.doi.org/10.1037/neu0000078.

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Rybakowski, J. "Cognitive and temperamental correlates of lithium response." International Clinical Psychopharmacology 28 (December 2012): e26-e27. http://dx.doi.org/10.1097/01.yic.0000423278.34596.b2.

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