An examination of the moderating effects of neurophysiology on treatment outcomes from cognitive training in schizophrenia-spectrum disorders

Best, Michael W.; Milanovic, Melissa; Muere, Abi; Lambe, Laura J.; Hong, Irene K.; Haque, Mashal K.; Bowie, Christopher R.

doi:10.1016/j.ijpsycho.2019.02.004

Cited by 4 publications

(9 citation statements)

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“…Studies have also consistently shown that lower MMN is correlated with poor psychosocial functioning and ability to live in independent settings (1,11,22,88,108,109,169). Furthermore, MMN was also able to predict performance in social skills training in patients with schizophrenia, again demonstrating its ability to be used as a predictive marker (63), although evidence for the contrary exists as well (60). These studies demonstrate the potential for MMN to be used as a surrogate marker/endpoint and a predictive marker for cognitive and psychosocial dysfunction.…”

Section: Discussionmentioning

confidence: 97%

“…On the other hand, one study showed that while P3a, MMN and RON amplitudes were associated with psychosocial functioning as assessed with GAF in patients with chronic schizophrenia, this association was not found in patients with a recent onset ( 81 ). Also, a recently published study showed that MMN was not correlated with improvement in community functioning or performance on cognitive tasks after cognitive training ( 60 ). ( 1 )…”

Section: Mismatch Negativitymentioning

confidence: 99%

“…MMN and P50 are among the neurophysiological markers that are being considered as potential endophenotypes in this disease (52)(53)(54). In addition, as MMN and P50 are markers of neurological processes that are thought to be important for cognitive functioning in patients with schizophrenia, they have also garnered interest as predictive biomarkers to see if an intervention will improve cognition (55)(56)(57)(58)(59)(60). Tolerability and practicality of ERP measurements are well understood, but their relationship with cognitive and psychosocial outcomes has yet to be fully elucidated (7,12).…”

Section: Introductionmentioning

confidence: 99%

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Neurophysiological Biomarkers in Schizophrenia—P50, Mismatch Negativity, and TMS-EMG and TMS-EEG

2020

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Impaired early auditory processing is a well characterized finding in schizophrenia that is theorized to contribute to clinical symptoms, cognitive impairment, and social dysfunction in patients. Two neurophysiological measures of early auditory processing, P50 gating ("P50") and mismatch negativity (MMN), which measure sensory gating and detection of change in auditory stimuli, respectively, are consistently shown to be impaired in patients with schizophrenia. Transcranial magnetic stimulation (TMS) may also be a potential method by which sensory processing can be assessed, since TMS paradigms can be used to measure GABA B-mediated cortical inhibition that is linked with sensory gating. In this review, we examine the potential of P50, MMN and two TMS paradigms, cortical silent period (CSP) and long-interval intracortical inhibition (LICI), as endophenotypes as well as their ability to be used as predictive markers for interventions targeted at cognitive and psychosocial functioning. Studies consistently support a link between MMN, P50, and cognitive dysfunction, with robust evidence for a link between MMN and psychosocial functioning in schizophrenia as well. Importantly, studies have demonstrated that MMN can be used to predict performance in social and cognitive training tasks. A growing body of studies also supports the potential of MMN to be used as an endophenotype, and future studies are needed to determine if MMN can be used as an endophenotype specifically in schizophrenia. P50, however, has weaker evidence supporting its use as an endophenotype. While CSP and LICI are not as extensively investigated, growing evidence is supporting their potential to be used as an endophenotype in schizophrenia. Future studies that assess the ability of P50, MMN, and TMS neurophysiological measures to predict performance in cognitive and social training programs may identify markers that inform clinical decisions in the treatment of neurocognitive impairments in schizophrenia.

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Section: Discussionmentioning

confidence: 97%

Section: Mismatch Negativitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Neurophysiological Biomarkers in Schizophrenia—P50, Mismatch Negativity, and TMS-EMG and TMS-EEG

2020

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“…In addition, no correlations were found between evoked theta power during an auditory oddball task and cognitive domains assessed with MCCB in FES and SCZ [ 108 ]. Interestingly, two studies focused on the effects of auditory-based targeted cognitive training (TCT) in schizophrenia and showed that higher baseline values of theta evoked power and phase-locking values could be used to predict greater improvements in attention, working memory and general cognitive abilities after the completion of the intervention [ 93 , 97 ]. Finally, theta connectivity during an auditory task was associated with processing speed, verbal fluency, verbal memory [ 95 ] and general cognitive abilities assessed with the BACS in SCZ subjects [ 94 ].…”

Section: Resultsmentioning

confidence: 99%

Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review

et al. 2022

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Cognitive dysfunctions represent a core feature of schizophrenia-spectrum disorders due to their presence throughout different illness stages and their impact on functioning. Abnormalities in electrophysiology (EEG) measures are highly related to these impairments, but the use of EEG indices in clinical practice is still limited. A systematic review of articles using Pubmed, Scopus and PsychINFO was undertaken in November 2021 to provide an overview of the relationships between EEG indices and cognitive impairment in schizophrenia-spectrum disorders. Out of 2433 screened records, 135 studies were included in a qualitative review. Although the results were heterogeneous, some significant correlations were identified. In particular, abnormalities in alpha, theta and gamma activity, as well as in MMN and P300, were associated with impairments in cognitive domains such as attention, working memory, visual and verbal learning and executive functioning during at-risk mental states, early and chronic stages of schizophrenia-spectrum disorders. The review suggests that machine learning approaches together with a careful selection of validated EEG and cognitive indices and characterization of clinical phenotypes might contribute to increase the use of EEG-based measures in clinical settings.

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“…At the neurophysiological level, event-related potential (ERP) technology can provide the millisecond time resolution [6], [7], which is suitable for the study of rapid cognitive processes. P300 is an ERP component related to cognitive functions such as attention, decision-making, recognition, and memory [8]. It originates from the activation of the parietal lobe, and reflects a "top-down" process of shifting attention to infrequent target stimuli that require motor responses (button presses) or memory updates.…”

Section: Introductionmentioning

confidence: 99%

Long-Term Cognitive Tasks Impair the Ability of Resource Allocation in Working Memory: A Study of Time-Frequency Analysis and Event-Related Potentials

et al. 2020

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Long-term cognitive tasks can lead to mental fatigue, which can increase the risk of accidents. P300, theta (4-7 Hz), and alpha (8-13 Hz) power are related to cognitive functions. In this paper, we selected long-term cognitive tasks to induce mental fatigue. Sternberg-WM paradigm was performed before and after fatigue, and EEG data was collected and analyzed. P300 amplitude had no significant difference in the normal state, but significantly reduced with increasing of the workload in parietal region in the fatigue state. This indicated that mental fatigue reduced the allocatable cognitive resources in the high workload. P300 latency had no significant difference between the normal and fatigue state, indicating that mental fatigue had no significant effect on the speed of cognitive resource allocation. Theta power increased significantly with increasing of the workload only in the normal state, indicating that the high workload required more top-down attention resource input to promote memory retrieval. Mental fatigue weakened attention resource input. Alpha power significantly decreased with increasing of the workload only in the fatigue state, indicating that mental fatigue reduced the energy of suppressing irrelevant information interference in the high workload. Long-term cognitive tasks can impair the allocation of cognitive resources, reduce cognitive ability, and lead to behavioral errors in the high workload. P300 can be used as a biomarker for monitoring mental fatigue in the high workload, besides, theta and alpha rhythms can be used as potential targets for neural oscillations regulation.

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An examination of the moderating effects of neurophysiology on treatment outcomes from cognitive training in schizophrenia-spectrum disorders

Cited by 4 publications

References 55 publications

Neurophysiological Biomarkers in Schizophrenia—P50, Mismatch Negativity, and TMS-EMG and TMS-EEG

Neurophysiological Biomarkers in Schizophrenia—P50, Mismatch Negativity, and TMS-EMG and TMS-EEG

Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review

Long-Term Cognitive Tasks Impair the Ability of Resource Allocation in Working Memory: A Study of Time-Frequency Analysis and Event-Related Potentials

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