Research

Interesting New Mental Health Research Using EEG

By May 7, 2021No Comments

Neural Response to Monetary and Social Feedback Demonstrate Differential Associations with Depression and Social Anxiety

Nelson BD, Jarcho JM. Neural Response to Monetary and Social Feedback Demonstrate Differential Associations with Depression and Social Anxiety. Soc Cogn Affect Neurosci. 2021 May 4:nsab055. doi: 10.1093/scan/nsab055. Epub ahead of print. PMID: 33942882.

  • “An aberrant neural response to rewards has been linked to both depression and social anxiety.”
  • “In the present study, 204 participants underwent electroencephalography during monetary and social feedback tasks that were matched in trial structure, timing, and feedback stimuli. The reward positivity (RewP) was measured in response to correctly identifying stimuli that resulted in monetary win, monetary loss, social like, or social dislike feedback. All monetary and social tasks elicited a RewP, which were positively correlated.”
  • “Across all tasks, the RewP was negatively associated with depression and positively associated with social anxiety. The RewP to social dislike feedback, independent of monetary and social like feedback, was also associated with social anxiety.
  • “The present study suggests that a domain-general neural response to correct feedback demonstrates a differential association with depression and social anxiety, but a domain-specific neural response to social dislike feedback is uniquely associated with social anxiety.”

Pretreatment qEEG biomarkers for predicting pharmacological treatment outcome in major depressive disorder: Independent validation from the NeuroPharm study

Ip CT, Olbrich S, Ganz M, Ozenne B, Köhler-Forsberg K, Dam VH, Beniczky S, Jørgensen MB, Frokjaer VG, Søgaard B, Christensen SR, Knudsen GM. Pretreatment qEEG biomarkers for predicting pharmacological treatment outcome in major depressive disorder: Independent validation from the NeuroPharm study. Eur Neuropsychopharmacol. 2021 Apr 25;49:101–112. doi: 10.1016/j.euroneuro.2021.03.024. Epub ahead of print. PMID: 33910154.

  • “Several electroencephalogram (EEG) biomarkers for prediction of drug response in major depressive disorder (MDD) have been proposed, but validations in larger independent datasets are missing. In the current study, we investigated the prognostic value of previously suggested EEG biomarkers.”
  • “One hundred antidepressant free patients with MDD were enrolled in the study and 79 (57 female) were included in the per-protocol analysis. The biomarkers candidates for cross-validation were derived from prior studies such as iSPOT-D and EMBARC and include frontal and occipital alpha power and asymmetry and delta and theta activity at anterior cingulate cortex (ACC).”
  • “The alpha asymmetry, reported in two out of six prior studies, could be partially validated. We found that in female patients, larger right than left frontal alpha power prior to drug treatment was associated with better clinical outcome 8 weeks later. Moreover, female non-responder had higher central left alpha power relative to the right. In contrast to prior reports, we found that lower theta activity at ACC was present in remitters and was associated with greater improvement at week 8.”
  • “We provide evidence that in women with MDD, alpha asymmetry seems to be the most promising EEG biomarker for prediction of treatment response.”

Electroencephalographic Microstates in Schizophrenia and Bipolar Disorder

Wang F, Hujjaree K, Wang X. Electroencephalographic Microstates in Schizophrenia and Bipolar Disorder. Front Psychiatry. 2021 Feb 26;12:638722. doi: 10.3389/fpsyt.2021.638722. PMID: 33716831; PMCID: PMC7952514.

  • “Schizophrenia (SCH) and bipolar disorder (BD) are characterized by many types of symptoms, damaged cognitive function, and abnormal brain connections. The microstates are considered to be the cornerstones of the mental states shown in EEG data.”
  • “In our study, we investigated the use of microstates as biomarkers to distinguish patients with bipolar disorder from those with schizophrenia by analyzing EEG data measured in an eyes-closed resting state.”
  • “We used microstate resting EEG data to explore group differences in the duration, coverage, occurrence, and transition probability of 4 microstate maps among 20 SCH patients, 26 BD patients, and 35 healthy controls (HCs).
  • “We found abnormal features of microstate A, B in BD patients and abnormal features of microstate A, B, C, and D in SCH patients.”
  • “These features may indicate the potential abnormalities of SCH patients and BD patients in distributing neural resources and influencing opportune transitions between different states of activity.”

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