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Firth J, Standen B, Sumich A, Fino E, Heym N. The neural correlates of reinforcement sensitivity theory: A systematic review of the frontal asymmetry and spectral power literature. Psychophysiology 2024:e14594. [PMID: 38693649 DOI: 10.1111/psyp.14594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 12/10/2023] [Accepted: 03/27/2024] [Indexed: 05/03/2024]
Abstract
The original Reinforcement Sensitivity Theory (oRST) proposes two systems of approach (BAS) and avoidance (BIS) motivation to underpin personality and behavior. The revised-RST (rRST) model separates avoidance motivation into passive (BIS; anxiety) and active (FFFS; fear) systems. Prior research has attempted to map RST onto lateralized frontal asymmetry to provide a neurophysiological marker of RST. The main aim is to examine the relationships of the o/rRST scales with trait (baseline) and state (manipulated through experimental paradigms) frontal asymmetry. A systematic review was conducted, resulting in 158 studies designated to neuroimaging research. In total, 54 studies were included in this review using either frontal asymmetry or spectral power. The results were split into three main categories: resting frontal alpha asymmetry (N = 23), emotional induction and state-related frontal alpha asymmetry (N = 20), and spectral analysis (N = 16). Findings indicated that BAS was associated with enhanced left frontal asymmetry at baseline and during state-related paradigms. Findings for BIS were more inconsistent, especially at rest, suggesting that BIS, in particular, may require active engagement with the environment. Only 9 of the 54 papers included used the revised RST model, highlighting the need for more rRST research.
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Affiliation(s)
- Jennifer Firth
- Division of Psychology, Nottingham Trent University, Nottingham, UK
| | - Bradley Standen
- Division of Psychology, Nottingham Trent University, Nottingham, UK
| | - Alexander Sumich
- Division of Psychology, Nottingham Trent University, Nottingham, UK
| | - Emanuele Fino
- Division of Psychology, Nottingham Trent University, Nottingham, UK
| | - Nadja Heym
- Division of Psychology, Nottingham Trent University, Nottingham, UK
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Tăuƫan AM, Casula EP, Pellicciari MC, Borghi I, Maiella M, Bonni S, Minei M, Assogna M, Palmisano A, Smeralda C, Romanella SM, Ionescu B, Koch G, Santarnecchi E. TMS-EEG perturbation biomarkers for Alzheimer's disease patients classification. Sci Rep 2023; 13:7667. [PMID: 37169900 PMCID: PMC10175269 DOI: 10.1038/s41598-022-22978-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 10/21/2022] [Indexed: 05/13/2023] Open
Abstract
The combination of TMS and EEG has the potential to capture relevant features of Alzheimer's disease (AD) pathophysiology. We used a machine learning framework to explore time-domain features characterizing AD patients compared to age-matched healthy controls (HC). More than 150 time-domain features including some related to local and distributed evoked activity were extracted from TMS-EEG data and fed into a Random Forest (RF) classifier using a leave-one-subject out validation approach. The best classification accuracy, sensitivity, specificity and F1 score were of 92.95%, 96.15%, 87.94% and 92.03% respectively when using a balanced dataset of features computed globally across the brain. The feature importance and statistical analysis revealed that the maximum amplitude of the post-TMS signal, its Hjorth complexity and the amplitude of the TEP calculated in the window 45-80 ms after the TMS-pulse were the most relevant features differentiating AD patients from HC. TMS-EEG metrics can be used as a non-invasive tool to further understand the AD pathophysiology and possibly contribute to patients' classification as well as longitudinal disease tracking.
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Affiliation(s)
- Alexandra-Maria Tăuƫan
- Precision Neuroscience and Neuromodulation Program & Network Control Laboratory, Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- AI Multimedia Lab, Research Center CAMPUS, University Politehnica of Bucharest, 061344, Bucharest, Romania
| | - Elias P Casula
- Santa Lucia Foundation, 00179, Rome, Italy
- Department of Psychology, La Sapienza University, Via dei Marsi 78, 00185, Rome, Italy
| | | | | | | | | | | | | | - Annalisa Palmisano
- Precision Neuroscience and Neuromodulation Program & Network Control Laboratory, Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Department of Education, Psychology and Communication, University of Bari Aldo Moro, Bari, Italy
| | - Carmelo Smeralda
- Siena Brain Investigation & Neuromodulation Lab (Si-BIN Lab), Department of Medicine, Surgery, Neurology and Clinical Neurophysiology Section, University of Siena, Siena, Italy
| | - Sara M Romanella
- Precision Neuroscience and Neuromodulation Program & Network Control Laboratory, Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Siena Brain Investigation & Neuromodulation Lab (Si-BIN Lab), Department of Medicine, Surgery, Neurology and Clinical Neurophysiology Section, University of Siena, Siena, Italy
| | - Bogdan Ionescu
- AI Multimedia Lab, Research Center CAMPUS, University Politehnica of Bucharest, 061344, Bucharest, Romania
| | - Giacomo Koch
- Department of Neuroscience and Rehabilitation, Section of Human Physiology, University of Ferrara, 44121, Ferrara, Italy
- Santa Lucia Foundation, 00179, Rome, Italy
| | - Emiliano Santarnecchi
- Precision Neuroscience and Neuromodulation Program & Network Control Laboratory, Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
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Influence of theta-burst transcranial magnetic stimulation over the dorsolateral prefrontal cortex on emotion processing in healthy volunteers. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2020; 20:1278-1293. [PMID: 33000366 PMCID: PMC7716858 DOI: 10.3758/s13415-020-00834-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 09/13/2020] [Indexed: 02/07/2023]
Abstract
Repetitive transcranial magnetic stimulation is a potential treatment option for depression, with the newer intermittent theta-burst stimulation (iTBS) protocols providing brief intervention. However, their mechanism of action remains unclear. We investigated the hypothesis that iTBS influences brain circuits involved in emotion processing that are also affected by antidepressants. We predicted that iTBS would lead to changes in performance on emotion-processing tasks. We investigated the effects of intermittent TBS (iTBS) over the left dorsolateral prefrontal cortex (DLPFC) on the processing of emotional information (word recall and categorization, facial emotion recognition, and decision-making) in 28 healthy volunteers by contrasting these effects with those of sham stimulation. Each volunteer received iTBS and sham stimulation in a blinded crossover design and completed the emotion-processing tasks before and after stimulation. Compared to sham stimulation, iTBS increased positive affective processing for word recall, yet had an unexpected effect on facial emotion recognition for happy and sad faces. There was no evidence of an effect on decision-making or word categorization. We found support for our hypothesis that iTBS influences emotion processing, though some changes were not in the expected direction. These findings suggest a possible common mechanism of action between iTBS and antidepressants, and a complex neural circuitry involved in emotion processing that could potentially be tapped into via brain stimulation. Future research should investigate the neural correlates of emotion processing more closely to inform future iTBS protocols.
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Balconi M, Canavesio Y. Empathy, Approach Attitude, and rTMs on Left DLPFC Affect Emotional Face Recognition and Facial Feedback (EMG). J PSYCHOPHYSIOL 2016. [DOI: 10.1027/0269-8803/a000150] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Abstract. Empathic trait (Balanced Emotional Empathy Scale [BEES]) and emotional attitude (Behavior Activation System [BAS]) were supposed to modulate emotional face recognition, based on left dorsolateral prefrontal (DLPFC) cortex contribution. High-empathic trait (high-BEES) was compared with low-empathic trait (low-BEES), when detection performance (Accuracy Index; Response Times [RTs]) and facial activity (electromyogram, EMG, i.e., zygomatic and corrugators muscle activity) were analyzed. Moreover, the implication of the left DLPFC was tested by using low-frequency rTMS (repeated Transcranial Magnetic Stimulation) to induce a decreased response to facial expression of emotions when subjects (N = 46) were required to empathize with the emotional stimuli. EMG and behavioral responses were found to be modulated by BEES and BAS, with a decreased performance and a reduced facial responsiveness in response to happiness for high-BEES and high-BAS in the case of TMS on left DLPFC. Secondly, an emotion-specific effect was found: the DLPFC effect was observed for the positive emotion (happiness) more than for the negative emotions (anger and fear) with a decreased performance (lower Accuracy Index [AI] and higher RTs) and a decreased zygomatic muscle activity. Finally, a direct correlation was found between BEES and BAS and the latter was revealed to be predictive (regression analysis) of the behavioral and EMG modulation induced by TMS. These results suggest significant effect by empathic and emotional attitude component on both EMG and behavioral level in emotional face recognition. This mechanism appears to be supported and regulated by DLPFC. The lateralization (left) effect was discussed in light of the valence model of emotions.
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Affiliation(s)
- Michela Balconi
- Research Unit in Affective and Social Neuroscience, Catholic University of Milan, Italy
- Laboratory of Cognitive Psychology, Department of Psychology, Catholic University of the Sacred Heart, Milan, Italy
| | - Ylenia Canavesio
- Laboratory of Cognitive Psychology, Department of Psychology, Catholic University of the Sacred Heart, Milan, Italy
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Balconi M, Cobelli C. rTMS on left prefrontal cortex contributes to memories for positive emotional cues: a comparison between pictures and words. Neuroscience 2014; 287:93-103. [PMID: 25541250 DOI: 10.1016/j.neuroscience.2014.12.015] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2014] [Revised: 12/10/2014] [Accepted: 12/12/2014] [Indexed: 11/16/2022]
Abstract
The present research explored the cortical correlates of emotional memories in response to words and pictures. Subjects' performance (Accuracy Index, AI; response times, RTs; RTs/AI) was considered when a repetitive Transcranial Magnetic Stimulation (rTMS) was applied on the left dorsolateral prefrontal cortex (LDLPFC). Specifically, the role of LDLPFC was tested by performing a memory task, in which old (previously encoded targets) and new (previously not encoded distractors) emotional pictures/words had to be recognized. Valence (positive vs. negative) and arousing power (high vs. low) of stimuli were also modulated. Moreover, subjective evaluation of emotional stimuli in terms of valence/arousal was explored. We found significant performance improving (higher AI, reduced RTs, improved general performance) in response to rTMS. This "better recognition effect" was only related to specific emotional features, that is positive high arousal pictures or words. Moreover no significant differences were found between stimulus categories. A direct relationship was also observed between subjective evaluation of emotional cues and memory performance when rTMS was applied to LDLPFC. Supported by valence and approach model of emotions, we supposed that a left lateralized prefrontal system may induce a better recognition of positive high arousal words, and that evaluation of emotional cue is related to prefrontal activation, affecting the recognition memories of emotions.
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Affiliation(s)
- M Balconi
- Research Unit in Affective and Social Neuroscience, Italy; Laboratory of Cognitive Psychology, Department of Psychology, Catholic University of the Sacred Heart, Milan, Italy.
| | - C Cobelli
- Laboratory of Cognitive Psychology, Department of Psychology, Catholic University of the Sacred Heart, Milan, Italy
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