Resting-state brain oscillations predict cognitive function in psychiatric disorders: A transdiagnostic machine learning approach

Sargent, Kaia; Chavez-Baldini, UnYoung; Master, Sarah L.; Verweij, Karin J. H.; Lok, Anja; Sutterland, Arjen L.; Vulink, Nienke; Denys, Damiaan; Smit, Dirk J.A.; Nieman, Dorien H.

doi:10.1016/j.nicl.2021.102617

Cited by 19 publications

(12 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Theta rhythm was found in multiple cerebral regions and was related to multiple cognitive functions, e.g., working memory, episodic memory, and executive function ( 54 , 55 ). Normal theta rhythm oscillation is considered a predictor of good performance in executive function ( 56 ). Human brain imaging studies have shown enhanced coupling of theta oscillations between the hippocampus and DLPFC during cognitive activity ( 57 ).…”

Section: Discussionmentioning

confidence: 99%

Predictive Role of Executive Function in the Efficacy of Intermittent Theta Burst Transcranial Magnetic Stimulation Modalities for Treating Methamphetamine Use Disorder—A Randomized Clinical Trial

Wang

Ren

et al. 2021

Front. Psychiatry

View full text Add to dashboard Cite

Background: Repetitive transcranial magnetic stimulation (rTMS) has therapeutic effects on craving in methamphetamine (METH) use disorder (MUD). The chronic abuse of METH causes impairments in executive function, and improving executive function reduces relapse and improves treatment outcomes for drug use disorder. The purpose of this study was to determine whether executive function helped predict patients' responses to rTMS treatment.Methods: This study employed intermittent theta burst stimulation (iTBS) rTMS modalities and observed their therapeutic effects on executive function and craving in MUD patients. MUD patients from an isolated Drug Rehabilitation Institute in China were chosen and randomly allocated to the iTBS group and sham-stimulation group. All participants underwent the Behavior Rating Inventory of Executive Function - Adult Version Scale (BRIEF-A) and Visual Analog Scales (VAS) measurements. Sixty-five healthy adults matched to the general condition of MUD patients were also recruited as healthy controls.Findings: Patients with MUD had significantly worse executive function. iTBS groups had better treatment effects on the MUD group than the sham-stimulation group. Further Spearman rank correlation and stepwise multivariate regression analysis revealed that reduction rates of the total score of the BRIEF-A and subscale scores of the inhibition factor and working memory factor in the iTBS group positively correlated with improvements in craving. ROC curve analysis showed that working memory (AUC = 87.4%; 95% CI = 0.220, 0.631) and GEC (AUC = 0.761%; 95% CI = 0.209, 0.659) had predictive power to iTBS therapeutic efficacy. The cutoff values are 13.393 and 59.804, respectively.Conclusions: The iTBS rTMS had a better therapeutic effect on the executive function of patients with MUD, and the improved executive function had the potential to become a predictor for the efficacy of iTBS modality for MUD treatment.Clinical Trial Registration:ClinicalTrials.gov, identifier: ChiCTR2100046954.

show abstract

Section: Discussionmentioning

confidence: 99%

Predictive Role of Executive Function in the Efficacy of Intermittent Theta Burst Transcranial Magnetic Stimulation Modalities for Treating Methamphetamine Use Disorder—A Randomized Clinical Trial

Wang

Ren

et al. 2021

Front. Psychiatry

View full text Add to dashboard Cite

show abstract

“…In contrast, if observed during task within specific task relevant brain areas, it would index processes related to the particular task or experimental situation. Alpha power at rest has been found to be positively correlated with task performance in cognitive control (Mahjoory et al, 2019) and episodic memory (Sargent et al, 2021) tasks, but negatively correlated with language skills (Kwok et al, 2019). This somewhat non-univocal picture suggests that for different experimental situations, different levels of pre-inhibition and disinhibition of cortical areas are beneficial.…”

Section: Discussionmentioning

confidence: 99%

Individual alpha power predicts language comprehension

Wang

Maess

et al. 2021

Preprint

View full text Add to dashboard Cite

Alpha power attenuation during cognitive task performing has been suggested to reflect a process of release of inhibition, increase of excitability, and thereby benefit the improvement of performance. Here, we hypothesized that changes in individual alpha power during the execution of a complex language comprehension task may correlate with the individual performance in that task. We tested this using magnetoencephalography (MEG) recorded during comprehension of German sentences of different syntactic complexity. Results showed that neither the frequency nor the power of the spontaneous oscillatory activity at rest were associated with the individual performance. However, during the execution of a sentences processing task, the individual alpha power attenuation did correlate with individual language comprehension performance. Source reconstruction localized effects in temporal-parietal regions of both hemispheres. While the effect of increased task difficulty is localized in the right hemisphere, the difference in power attenuation between tasks of different complexity exhibiting a correlation with performance was localized in left temporal-parietal brain regions known to be associated with language processing. From our results, we conclude that in-task attenuation of individual alpha power is related to the essential mechanisms of the underlying cognitive processes, rather than merely to general phenomena like attention or vigilance.

show abstract

“…Third, another promising area focuses on transdiagnostic approaches to uncover neural correlates of specific domains (such as cognition, arousal, and emotion regulation), which have been implicated in psychopathology across the diagnostic spectrum. 49 Recent ML efforts have been dedicated to identifying transdiagnostic brain dysfunctions and dimensions of psychopathology to improve understanding of comorbidity among psychiatric disorders. 50 , 51 , 52 , 53 Importantly, leveraging “big data” from a longitudinal perspective offers a promising way to track the neurobiological and phenotypic trajectories that have been rarely examined in previous cross-sectional psychiatric studies.…”

Section: How Can ML Help Psychiatry?mentioning

confidence: 99%