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Hou L, Meng Y, Gao J, Li M, Zhou R. Women with more severe premenstrual syndrome have an enhanced anticipatory reward processing: a magnetoencephalography study. Arch Womens Ment Health 2023; 26:803-817. [PMID: 37730923 DOI: 10.1007/s00737-023-01368-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 09/05/2023] [Indexed: 09/22/2023]
Abstract
Laboratory studies reveal that young women with premenstrual syndrome (PMS) often exhibit decreased reward processing during the late luteal phase. However, studies based on the self-reports find opposite results (e.g., higher craving for high-sweet-fat food). These differences may lie in the difference between the stimulus used and measuring the different aspects of the reward. The present study was designed to expand previous work by using a classic monetary reward paradigm, simultaneously examining the motivational (i.e., reward anticipation, "wanting") and emotional (i.e., reward outcome, "liking") components of reward processing in women with high premenstrual symptoms (High PMS). College female students in their early twenties with High PMS (n = 20) and low premenstrual symptoms (Low PMS, n = 20) completed a monetary incentive delay task during their late luteal phase when the premenstrual symptoms typically peak. Brain activities in the reward anticipation phase and outcome phase were recorded using the magnetoencephalographic (MEG) imaging technique. No group differences were found in various behavioral measurements. For the MEG results, in the anticipation phase, when High PMS participants were presented with cues that predicted the upcoming monetary gains, they showed higher event-related magnetic fields (ERFs) than when they were presented with neutral non-reward cues. This pattern was reversed in Low PMS participants, as they showed lower reward cue-elicited ERFs than non-reward cue-elicited ones (cluster mass = 2560, cluster size = 891, p = .03, corrected for multiple comparisons), mainly in the right medial orbitofrontal and lateral orbitofrontal cortex (cluster mass = 375, cluster size = 140, p = .03, corrected for multiple comparisons). More importantly, women with High PMS had an overall significantly higher level of ERFs than women with Low PMS (cluster mass = 8039, cluster size = 2937, p = .0009, corrected for multiple comparisons) in the bilateral precentral gyrus, right postcentral gyrus, and left superior temporal gyrus (right: cluster mass = 410, cluster size = 128, p = .03; left: cluster mass = 352, cluster size = 98, p = .05; corrected for multiple comparisons). In the outcome phase, women with High PMS showed significantly lower theta power than the Low PMS ones for the expected non-reward feedback in the bilateral temporal-parietal regions (cluster mass = 47620, cluster size = 18308, p = .01, corrected for multiple comparisons). These findings reveal that the severity of PMS might alter reward anticipation. Specifically, women with High PMS displayed increased brain activities to reward-predicting cues and increased action preparation after the cues appear.
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Affiliation(s)
- Lulu Hou
- Department of Psychology, Nanjing University, Nanjing, 210023, China
- Department of Psychology, Shanghai Normal University, Shanghai, 200234, China
| | - Yao Meng
- Department of Psychology, Nanjing University, Nanjing, 210023, China
- School of Nursing, Nanjing Medical University, Nanjing, 211166, China
| | - Jiahong Gao
- Beijing City Key Lab for Medical Physics and Engineering, Institution of Heavy Ion Physics, School of Physics, Peking University, Beijing, 100871, China
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
- McGovern Institute for Brain Research, Peking University, Beijing, 100871, China
| | - Ming Li
- Department of Psychology, Nanjing University, Nanjing, 210023, China
| | - Renlai Zhou
- Department of Psychology, Nanjing University, Nanjing, 210023, China.
- Department of Radiology, the Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 210008, China.
- State Key Laboratory of Media Convergence Production Technology and Systems, Beijing, 100803, China.
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Aoki M, Suzuki M, Suzuki S, Takao H, Okayama H. Cognitive function evaluation in premenstrual syndrome during the follicular and luteal phases using near-infrared spectroscopy. COMPREHENSIVE PSYCHONEUROENDOCRINOLOGY 2022; 10:100117. [PMID: 35755198 PMCID: PMC9216448 DOI: 10.1016/j.cpnec.2022.100117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 01/18/2022] [Accepted: 01/20/2022] [Indexed: 11/09/2022] Open
Abstract
Background Many adult females experience periodic mental and physical symptoms associated with premenstrual syndrome (PMS). Diagnosis of PMS is generally based on self-reported symptoms over several menstrual cycles, but there are concerns about its accuracy and duration. It is well known that decreased cognitive function is one of the symptoms of PMS. Near-infrared spectroscopy (NIRS) is one of the methods for imaging brain activity, similar to magnetic resonance imaging (MRI), electroencephalography (EEG), and positron emission tomography (PET). NIRS has been used to assess cognitive function decline demonstrated by decline in brain activity. However, to the best of our knowledge, there have been no report characterizing brain activity pattern in females with PMS during the luteal and follicular phases separately. Objective We aimed to characterize the cognitive function of females with PMS during the follicular and luteal phases using NIRS. Methods The level of brain activity in the prefrontal cortex was detected with NIRS while PMS women were performing cognitive tasks. NIRS detected brain activity by measuring the oxy-hemoglobin and deoxy-hemoglobin levels. Participants were females between the ages of 20 and 25 with PMS (n = 11) and without PMS (n = 11). During the participants’ follicular and luteal phases, the participants were asked to perform the cognitive task; an N-back task (0-, 1-, and 2-back tasks), which is widely used for assessing cognitive function. We also calculated the oxyhemoglobin integral value during the N-back task using the NIRS signal; this value represented the total amount of change in cerebral oxyhemoglobin and the brain activation level. Results The correct response rate on the 2-back task was significantly lower during both the follicular and luteal phases in females with PMS compared to that in females without PMS (P = 0.01; P = 0.02, during the follicular and luteal phases, respectively). During the luteal phase, brain activation was significantly lower in participants with PMS than in that in females without PMS (P = 0.04). In addition, during the luteal phase, the participants with PMS also had higher negative mood than those without PMS. Conclusion The cognitive decline during the luteal phase in participants with PMS was detected by NIRS with significant differences from participants without PMS. The difference was observed only during the luteal phase, not in the follicular phase and were related to the increase in negative mood. These results may provide an objective method for diagnosing PMS based on brain activity. We believe that the use of instruments (e.g., NIRS, MRI, EEG … etc.) to detect cognitive function decline will lead to rapid and reliable diagnosis of PMS and premenstrual dysphoric disorder.
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Chen L, Hou L, Zhou R. Eye movement pattern of attention bias to emotional stimuli in women with high premenstrual symptoms. J Behav Ther Exp Psychiatry 2022; 74:101689. [PMID: 34753051 DOI: 10.1016/j.jbtep.2021.101689] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 06/28/2021] [Accepted: 08/28/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND OBJECTIVES Premenstrual Syndrome (PMS) refers to a group of symptoms linked to the menstrual cycle. Women with PMS have cognitive mode of rumination, which leads to their attention bias to emotional stimuli. This study investigated the biases for emotional information in women with high premenstrual symptoms (HPMS) compared with women with low premenstrual symptoms (LPMS). METHODS A total of 38 women with HPMS and 44 women with LPMS completed self-report questionnaires and a free viewing task with eye-tracking technology. RESULTS The questionnaire results indicate that women in the HPMS group had higher levels of rumination than those in the LPMS group. The eye-tracking results show that women in the HPMS group had an orientation bias towards negative emotional stimuli in the early cognitive process. In the late cognitive process, women in the HPMS group had accelerated attentional disengagement to positive emotional stimuli and difficult attentional disengagement to negative emotional stimuli. Further correlation analysis revealed positive relationships between the scores of initial fixation latency bias of positive pictures in premenstrual phase and the scores of symptom rumination in both groups and between the scores of initial fixation latency bias of positive pictures in premenstrual phase and the scores of brooding in HPMS group. LIMITATIONS This study used a retrospective questionnaire to assess the symptoms of PMS. CONCLUSIONS Women with HPMS had impaired attentional engagement and disengagement to emotional stimuli compared with women with LPMS, and it may be related to their cognitive mode of rumination.
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Affiliation(s)
- Lirong Chen
- Department of Psychology, Nanjing University, Nanjing, 210023, China
| | - Lulu Hou
- Department of Psychology, Nanjing University, Nanjing, 210023, China; Department of Psychology, Shanghai Normal University, Shanghai, 200234, China
| | - Renlai Zhou
- Department of Psychology, Nanjing University, Nanjing, 210023, China.
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Gupta A, Bowirrat A, Gomez LL, Baron D, Elman I, Giordano J, Jalali R, Badgaiyan RD, Modestino EJ, Gold MS, Braverman ER, Bajaj A, Blum K. Hypothesizing in the Face of the Opioid Crisis Coupling Genetic Addiction Risk Severity (GARS) Testing with Electrotherapeutic Nonopioid Modalities Such as H-Wave Could Attenuate Both Pain and Hedonic Addictive Behaviors. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:552. [PMID: 35010811 PMCID: PMC8744782 DOI: 10.3390/ijerph19010552] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 12/16/2021] [Accepted: 12/31/2021] [Indexed: 02/03/2023]
Abstract
In the United States, amid the opioid overdose epidemic, nonaddicting/nonpharmacological proven strategies are available to treat pain and manage chronic pain effectively without opioids. Evidence supporting the long-term use of opioids for pain is lacking, as is the will to alter the drug-embracing culture in American chronic pain management. Some pain clinicians seem to prefer classical analgesic agents that promote unwanted tolerance to analgesics and subsequent biological induction of the "addictive brain". Reward genes play a vital part in modulation of nociception and adaptations in the dopaminergic circuitry. They may affect various sensory and affective components of the chronic pain syndromes. The Genetic Addiction Risk Severity (GARS) test coupled with the H-Wave at entry in pain clinics could attenuate pain and help prevent addiction. The GARS test results identify high-risk for both drug and alcohol, and H-Wave can be initiated to treat pain instead of opioids. The utilization of H-Wave to aid in pain reduction and mitigation of hedonic addictive behaviors is recommended, notwithstanding required randomized control studies. This frontline approach would reduce the possibility of long-term neurobiological deficits and fatalities associated with potent opioid analgesics.
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Affiliation(s)
- Ashim Gupta
- Future Biologics, Lawrenceville, GA 30043, USA;
| | - Abdalla Bowirrat
- Department of Molecular Biology, Adelson School of Medicine, Ariel University, Ariel 40700, Israel;
| | - Luis Llanos Gomez
- The Kenneth Blum Behavioral & Neurogenetic Institute, Austin, TX 78701, USA; (L.L.G.); (R.J.); (E.R.B.)
| | - David Baron
- Graduate College, Western University Health Sciences, Pomona, CA 91766, USA;
| | - Igor Elman
- Center for Pain and the Brain (P.A.I.N Group), Department of Anesthesiology, Critical Care & Pain Medicine, Boston Children’s Hospital, Boston, MA 02115, USA;
- Cambridge Health Alliance, Harvard Medical School, Cambridge, MA 02139, USA
| | - John Giordano
- South Beach Detox & Treatment Center, North Miami Beach, FL 33169, USA;
| | - Rehan Jalali
- The Kenneth Blum Behavioral & Neurogenetic Institute, Austin, TX 78701, USA; (L.L.G.); (R.J.); (E.R.B.)
- Department of Precision Behavioral Management, Geneus Health, San Antonio, TX 78249, USA
| | - Rajendra D. Badgaiyan
- Department of Psychiatry, South Texas Veteran Health Care System, Audie L. Murphy Memorial VA Hospital, Long School of Medicine, University of Texas Medical Center, San Antonio, TX 78229, USA;
| | | | - Mark S. Gold
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA;
| | - Eric R. Braverman
- The Kenneth Blum Behavioral & Neurogenetic Institute, Austin, TX 78701, USA; (L.L.G.); (R.J.); (E.R.B.)
| | - Anish Bajaj
- Bajaj Chiropractic, New York, NY 10010, USA;
| | - Kenneth Blum
- The Kenneth Blum Behavioral & Neurogenetic Institute, Austin, TX 78701, USA; (L.L.G.); (R.J.); (E.R.B.)
- Graduate College, Western University Health Sciences, Pomona, CA 91766, USA;
- Department of Precision Behavioral Management, Geneus Health, San Antonio, TX 78249, USA
- Institute of Psychology, ELTE Eötvös Loránd University, Egyetem tér 1-3, 1053 Budapest, Hungary
- Department of Psychiatry, School of Medicine, University of Vermont, Burlington, VT 05405, USA
- Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology, Nonakuri, Purba Medinipur 721172, West Bengal, India
- Department of Psychiatry, Wright State University Boonshoft School of Medicine and Dayton VA Medical Centre, Dayton, OH 45324, USA
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Patterns of premenstrual syndrome and depression symptoms in Chinese female university students: Results of a latent profile analysis. J Affect Disord 2021; 293:64-70. [PMID: 34174472 DOI: 10.1016/j.jad.2021.06.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 06/05/2021] [Accepted: 06/13/2021] [Indexed: 11/21/2022]
Abstract
BACKGROUND Premenstrual syndrome (PMS) and depression co-occur frequently; however, their relationship remains controversial. This study was conducted primarily to discern heterogeneous patterns of such co-occurring symptoms in Chinese female university students, using a latent profile analysis (LPA), a person-centered statistical approach. METHODS The PMS Scale and Beck Depression Inventory were used to examine self-reported PMS and depression symptoms in 701 Chinese female university students. LPA, multinomial logistical regression, and analyses of variance were adopted to investigate latent profiles and their validity. RESULTS The LPA results indicated that a four-class solution characterized by low symptoms (57.2%), predominantly PMS (11.3%), predominantly depression (23.7%), and combined PMS-depression (7.8%) patterns fitted the data best. Age, first menstrual experience, and personality factors were associated with differences in nonparallel profiles characteristic of menstrual attitude. LIMITATIONS Use of self-report measures can lead to response biases; the cross-sectional design at a single time point limits the examination of changes in symptom characteristics and members within the category over time; and the specific age group limits the generalizability of results. CONCLUSION These results confirm that PMS is independent from depression, rather than a variant of depression, and can be used to resolve the controversy regarding the relationship between PMS and depression. The current findings highlight the need for identifying women at high risk for PMS and depression, and promoting interventions individually tailored to their symptom presentations.
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