scholarly journals Multimodal neural correlates of cognitive control in the Human Connectome Project

NeuroImage ◽  
2017 ◽  
Vol 163 ◽  
pp. 41-54 ◽  
Author(s):  
Dov B. Lerman-Sinkoff ◽  
Jing Sui ◽  
Srinivas Rachakonda ◽  
Sridhar Kandala ◽  
Vince D. Calhoun ◽  
...  
Keyword(s):  
Cognitive Control ◽  
Neural Correlates ◽  
Human Connectome Project

scholarly journals Multimodal neural correlates of cognitive control in the Human Connectome Project

2017 ◽  
Author(s):  
Dov B. Lerman-Sinkoff ◽  
Jing Sui ◽  
Srinivas Rachakonda ◽  
Sridhar Kandala ◽  
Vince D. Calhoun ◽  
...  
Keyword(s):  
Cognitive Control ◽  
Structural Mri ◽  
Resting State Fmri ◽  
Neural Correlates ◽  
Brain Regions ◽  
Control Performance ◽  
Human Connectome Project ◽  
Brain Structure And Function ◽  
And Function ◽  
And Task

AbstractCognitive control is a construct that refers to the set of functions that enable decisionmaking and task performance through the representation of task states, goals, and rules. The neural correlates of cognitive control have been studied in humans using a wide variety of neuroimaging modalities, including structural MRI, resting-state fMRI, and task-based fMRI. The results from each of these modalities independently have implicated the involvement of a number of brain regions in cognitive control, including dorsal prefrontal cortex, and frontal parietal and cingulo-opercular brain networks. However, it is not clear how the results from a single modality relate to results in other modalities. Recent developments in multimodal image analysis methods provide an avenue for answering such questions and could yield more integrated models of the neural correlates of cognitive control. In this study, we used multiset canonical correlation analysis with joint independent component analysis (mCCA+jICA) to identify multimodal patterns of variation related to cognitive control. We used two independent cohorts of participants from the Human Connectome Project, each of which had data from four imaging modalities. We replicated the findings from the first cohort in the second cohort using both independent and predictive analyses. The independent analyses identified a component in each cohort that was highly similar to the other and significantly correlated with cognitive control performance. The replication by prediction analyses identified two independent components that were significantly correlated with cognitive control performance in the first cohort and significantly predictive of performance in the second cohort. These components identified positive relationships across the modalities in neural regions related to both dynamic and stable aspects of task control, including regions in both the frontal-parietal and cingulo-opercular networks, as well as regions hypothesized to be modulated by cognitive control signaling, such as visual cortex. Taken together, these results illustrate the potential utility of multi-modal analyses in identifying the neural correlates of cognitive control across different indicators of brain structure and function.

Neural correlates of cognitive control revealed by an audio-visual conflict task

2013 ◽  
Author(s):  
Magdalena G. Wutte ◽  
Jennifer Coull ◽  
Laure Spieser ◽  
Franck Vidal ◽  
Boris Burle
Keyword(s):  
Cognitive Control ◽  
Neural Correlates ◽  
Conflict Task

scholarly journals Neural Correlates of Impaired Cognitive Control over Working Memory in Schizophrenia

2014 ◽  
Vol 76 (2) ◽  
pp. 146-153 ◽  
Author(s):  
Teal S. Eich ◽  
Derek Evan Nee ◽  
Catherine Insel ◽  
Chara Malapani ◽  
Edward E. Smith
Keyword(s):  
Working Memory ◽  
Cognitive Control ◽  
Neural Correlates

scholarly journals The Neural Correlates of Declining Performance with Age: Evidence for Age-Related Changes in Cognitive Control

2005 ◽  
Vol 16 (12) ◽  
pp. 1739-1749 ◽  
Author(s):  
D. J. Sharp ◽  
S. K. Scott ◽  
M. A. Mehta ◽  
R. J.S. Wise
Keyword(s):  
Cognitive Control ◽  
Neural Correlates ◽  
Age Related ◽  
Age Related Changes

scholarly journals Neural correlates of tic severity and cognitive control in children with Tourette syndrome

Brain ◽  
2007 ◽  
Vol 131 (1) ◽  
pp. 165-179 ◽  
Author(s):  
C. L. Baym ◽  
B. A. Corbett ◽  
S. B. Wright ◽  
S. A. Bunge
Keyword(s):  
Cognitive Control ◽  
Tourette Syndrome ◽  
Neural Correlates ◽  
Tic Severity

scholarly journals Transdiagnostic multimodal neuroimaging in psychosis: structural, resting-state, and task MRI correlates of cognitive control

2018 ◽  
Author(s):  
Dov B. Lerman-Sinkoff ◽  
Sridhar Kandala ◽  
Vince D. Calhoun ◽  
Deanna M. Barch ◽  
Daniel T. Mamah
Keyword(s):  
Cognitive Control ◽  
Resting State ◽  
Psychotic Disorders ◽  
De Novo ◽  
A Priori ◽  
Memory Task ◽  
Human Connectome Project ◽  
Posterior Parietal ◽  
Goal Directed Behavior

AbstractBackgroundPsychotic disorders, including schizophrenia and bipolar disorder, are associated with impairments in regulation of goal-directed behavior, termed cognitive control. Cognitive control related neural alterations have been studied in psychosis. However, studies are typically unimodal and relationships across modalities of brain function and structure remain unclear. Thus, we performed transdiagnostic multimodal analyses to examine cognitive control related neural variation in psychosis.MethodsStructural, resting, and working memory task imaging and behavioral data for 31 controls, 27 bipolar, and 23 schizophrenia patients were collected and processed identically to the Human Connectome Project (HCP), enabling identification of relationships with prior multimodal work. Two cognitive control related independent components (ICs) derived from the HCP using multiset canonical correlation analysis + joint independent component analysis (mCCA+jICA) were used to predict performance in psychosis. de novo mCCA+jICA was performed, and resultant IC weights were correlated with cognitive control.ResultsA priori ICs significantly predicted cognitive control in psychosis (3/5 modalities significant). De novo mCCA+jICA identified an IC correlated with cognitive control that also discriminated groups. Structural contributions included insular, somatomotor, cingulate, and visual regions; task contributions included precentral, posterior parietal, cingulate, and visual regions; and resting-state contributions highlighted canonical network organization. Follow-up analyses suggested de novo correlations with cognitive control were primarily influenced by schizophrenia patients.ConclusionsA priori components partially predicted performance in transdiagnostic psychosis and de novo analyses identified novel contributions in somatomotor and visual regions in schizophrenia. Together, results suggest joint contributions across modalities related to cognitive control across the healthy-to-psychosis spectrum.

Effort-cost decision-making in psychosis and depression: could a similar behavioral deficit arise from disparate psychological and neural mechanisms?

2017 ◽  
Vol 48 (6) ◽  
pp. 889-904 ◽  
Author(s):  
A. J. Culbreth ◽  
E. K. Moran ◽  
D. M. Barch
Keyword(s):  
Decision Making ◽  
Cognitive Control ◽  
Neural Correlates ◽  
Neural Mechanisms ◽  
Future Directions ◽  
Behavioral Deficit ◽  
Current Review ◽  
Potential Contributor ◽  
Reward Responsivity ◽  
Recent Experimental Work

Motivational impairment is a common feature of both depression and psychosis; however, the psychological and neural mechanisms that give rise to motivational impairment in these disorders are poorly understood. Recent research has suggested that aberrant effort-cost decision-making (ECDM) may be a potential contributor to motivational impairment in both psychosis and depression. ECDM refers to choices that individuals make regarding the amount of ‘work’ they are willing to expend to obtain a certain outcome or reward. Recent experimental work has suggested that those with psychosis and depression may be less willing to expend effort to obtain rewards compared with controls, and that this effort deficit is related to motivational impairment in both disorders. In the current review, we aim to summarize the current literature on ECDM in psychosis and depression, providing evidence for transdiagnostic impairment. Next, we discuss evidence for the hypothesis that a seemingly similar behavioral ECDM deficit might arise from disparate psychological and neural mechanisms. Specifically, we argue that effort deficits in psychosis might be largely driven by deficits in cognitive control and the neural correlates of cognitive control processes, while effort deficits in depression might be largely driven by reduced reward responsivity and the associated neural correlates of reward responsivity. Finally, we will provide some discussion regarding future directions, as well as interpretative challenges to consider when examining ECDM transdiagnostically.

Sign in / Sign up

Export Citation Format

Share Document