Pub Date : 2023-01-01DOI: 10.1176/appi.neuropsych.20233503
{"title":"In Appreciation.","authors":"","doi":"10.1176/appi.neuropsych.20233503","DOIUrl":"https://doi.org/10.1176/appi.neuropsych.20233503","url":null,"abstract":"","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":"35 4","pages":"404"},"PeriodicalIF":2.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41236151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1176/appi.neuropsych.20230144
David B Arciniegas
{"title":"Introducing <i>JNCN</i> Editor's Choice: Curated Collections From <i>The Journal of Neuropsychiatry and Clinical Neurosciences</i>.","authors":"David B Arciniegas","doi":"10.1176/appi.neuropsych.20230144","DOIUrl":"10.1176/appi.neuropsych.20230144","url":null,"abstract":"","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":"35 4","pages":"321-322"},"PeriodicalIF":2.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41236152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1176/appi.neuropsych.20230117
Wilfredo López-Ojeda, Robin A Hurley
{"title":"Medical Metaverse, Part 2: Artificial Intelligence Algorithms and Large Language Models in Psychiatry and Clinical Neurosciences.","authors":"Wilfredo López-Ojeda, Robin A Hurley","doi":"10.1176/appi.neuropsych.20230117","DOIUrl":"10.1176/appi.neuropsych.20230117","url":null,"abstract":"","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":"35 4","pages":"316-320"},"PeriodicalIF":2.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41236153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1176/appi.neuropsych.20220134
Jae-Chan Ryu, Jong S Kim
Objective: Long-term changes in specific depressive symptoms have rarely been studied in stroke patients. Such changes and the effects of social support and functional disability on specific symptoms after a long-term follow-up period (LTP) were investigated.
Methods: The Montgomery-Åsberg Depression Rating Scale (MADRS), ENRICHD Social Support Instrument, and modified Rankin Scale (mRS) for functional disability were administered at baseline, a 6-month follow-up, and an LTP (35-83 months). Effects of social support and poor functional outcome (mRS score of 3 to 6) on the 10 single items included on the MADRS were identified.
Results: Among 222 patients, mRS score, total MADRS score, and all single-item scores except "concentration difficulties," "inability to feel," and "suicidal thoughts" improved at the 6-month follow-up. From the 6-month follow-up to the LTP, the total MADRS score and half of the single-item scores worsened, although the functional outcome measure continued to improve. In multivariable linear regression tests, low social support was associated with "reduced sleep" (standardized β=0.20; 95% CI=0.06 to 0.34, p=0.005) and "pessimistic thoughts" (standardized β=0.16, 95% CI=0.03 to 0.30, p=0.019), and poor functional outcome was associated with all specific symptoms (standardized β values=0.18-0.43, all p<0.02) except "reduced sleep."
Conclusions: Although total MADRS and single-item scores improved in parallel with improvements in functional outcome at the 6-month follow-up, these scores worsened afterward. The lack of social support and presence of functional disability were both associated with total MADRS scores. However, specific symptoms were differentially affected, suggesting that tailored strategies should be applied to manage depression in stroke patients.
{"title":"Long-Term Changes in Poststroke Depressive Symptoms: Effects of Functional Disability and Social Support.","authors":"Jae-Chan Ryu, Jong S Kim","doi":"10.1176/appi.neuropsych.20220134","DOIUrl":"https://doi.org/10.1176/appi.neuropsych.20220134","url":null,"abstract":"<p><strong>Objective: </strong>Long-term changes in specific depressive symptoms have rarely been studied in stroke patients. Such changes and the effects of social support and functional disability on specific symptoms after a long-term follow-up period (LTP) were investigated.</p><p><strong>Methods: </strong>The Montgomery-Åsberg Depression Rating Scale (MADRS), ENRICHD Social Support Instrument, and modified Rankin Scale (mRS) for functional disability were administered at baseline, a 6-month follow-up, and an LTP (35-83 months). Effects of social support and poor functional outcome (mRS score of 3 to 6) on the 10 single items included on the MADRS were identified.</p><p><strong>Results: </strong>Among 222 patients, mRS score, total MADRS score, and all single-item scores except \"concentration difficulties,\" \"inability to feel,\" and \"suicidal thoughts\" improved at the 6-month follow-up. From the 6-month follow-up to the LTP, the total MADRS score and half of the single-item scores worsened, although the functional outcome measure continued to improve. In multivariable linear regression tests, low social support was associated with \"reduced sleep\" (standardized β=0.20; 95% CI=0.06 to 0.34, p=0.005) and \"pessimistic thoughts\" (standardized β=0.16, 95% CI=0.03 to 0.30, p=0.019), and poor functional outcome was associated with all specific symptoms (standardized β values=0.18-0.43, all p<0.02) except \"reduced sleep.\"</p><p><strong>Conclusions: </strong>Although total MADRS and single-item scores improved in parallel with improvements in functional outcome at the 6-month follow-up, these scores worsened afterward. The lack of social support and presence of functional disability were both associated with total MADRS scores. However, specific symptoms were differentially affected, suggesting that tailored strategies should be applied to manage depression in stroke patients.</p>","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":"35 3","pages":"244-249"},"PeriodicalIF":2.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9787075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01Epub Date: 2023-01-30DOI: 10.1176/appi.neuropsych.20220126
Evie Sobczak, Emily P Swafford, Daniel Samano, Danielle Bass, Pardis Ghamasaee, Mohan Kottapally, Amedeo Merenda, Kristine O'Phelan, Jose G Romano, Ralph L Sacco, Tatjana Rundek, Ayham Alkhachroum
Objective: Limited data are available on posttraumatic stress symptoms (PTSS) among COVID-19 survivors. This study aimed to contribute to this knowledge base.
Methods: PTSS among COVID-19 survivors who had been hospitalized were investigated. Patients were identified as COVID-19 positive at hospital admission. COVID-19 survivors were surveyed with the Posttraumatic Stress Disorder Checklist (PCL-5) between March and October 2020 at 5- and 12-month postdischarge follow-up points.
Results: Of 411 patients, 331 (81%) survived to hospital discharge. Of these survivors, 83 (25%) completed the PCL-5 at the 5-month follow-up. Of those patients, 12 (14%) screened positive for PTSS. At the 12-month follow-up, four of eight patients remained PTSS positive. Mean age of follow-up participants was 62±15 years; 47% were women, 65% were White, and 63% were Hispanic. PTSS-positive patients were predominantly non-White (67% vs. 30%, p=0.02), and although the differences were not statistically significant, these patients tended to be younger (56 vs. 63 years, p=0.08) and have shorter intensive care unit stays (2.0 vs. 12.5 days, p=0.06). PTSS-positive and PTSS-negative groups did not differ significantly in prehospitalization neurological diagnoses (11% vs. 8%), psychiatric diagnoses (17% vs. 21%), and intensive care admission status (25% vs. 25%). More patients in the PTSS-positive group had returned to the emergency department (50% vs. 14%, p<0.01) and reported fatigue at follow-up (100% vs. 42%, p<0.001). In the multivariate logistic regression model, non-White race (OR=11, 95% CI=2-91) and returning to the emergency department (OR=19, 95% CI=3-252) were associated with PTSS-positive status.
Conclusion: PTSS were twice as common among hospitalized COVID-19 survivors than among those in the general population.
{"title":"Posttraumatic Stress Symptoms Among COVID-19 Survivors After Hospitalization.","authors":"Evie Sobczak, Emily P Swafford, Daniel Samano, Danielle Bass, Pardis Ghamasaee, Mohan Kottapally, Amedeo Merenda, Kristine O'Phelan, Jose G Romano, Ralph L Sacco, Tatjana Rundek, Ayham Alkhachroum","doi":"10.1176/appi.neuropsych.20220126","DOIUrl":"10.1176/appi.neuropsych.20220126","url":null,"abstract":"<p><strong>Objective: </strong>Limited data are available on posttraumatic stress symptoms (PTSS) among COVID-19 survivors. This study aimed to contribute to this knowledge base.</p><p><strong>Methods: </strong>PTSS among COVID-19 survivors who had been hospitalized were investigated. Patients were identified as COVID-19 positive at hospital admission. COVID-19 survivors were surveyed with the Posttraumatic Stress Disorder Checklist (PCL-5) between March and October 2020 at 5- and 12-month postdischarge follow-up points.</p><p><strong>Results: </strong>Of 411 patients, 331 (81%) survived to hospital discharge. Of these survivors, 83 (25%) completed the PCL-5 at the 5-month follow-up. Of those patients, 12 (14%) screened positive for PTSS. At the 12-month follow-up, four of eight patients remained PTSS positive. Mean age of follow-up participants was 62±15 years; 47% were women, 65% were White, and 63% were Hispanic. PTSS-positive patients were predominantly non-White (67% vs. 30%, p=0.02), and although the differences were not statistically significant, these patients tended to be younger (56 vs. 63 years, p=0.08) and have shorter intensive care unit stays (2.0 vs. 12.5 days, p=0.06). PTSS-positive and PTSS-negative groups did not differ significantly in prehospitalization neurological diagnoses (11% vs. 8%), psychiatric diagnoses (17% vs. 21%), and intensive care admission status (25% vs. 25%). More patients in the PTSS-positive group had returned to the emergency department (50% vs. 14%, p<0.01) and reported fatigue at follow-up (100% vs. 42%, p<0.001). In the multivariate logistic regression model, non-White race (OR=11, 95% CI=2-91) and returning to the emergency department (OR=19, 95% CI=3-252) were associated with PTSS-positive status.</p><p><strong>Conclusion: </strong>PTSS were twice as common among hospitalized COVID-19 survivors than among those in the general population.</p>","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":"35 3","pages":"256-261"},"PeriodicalIF":2.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9789822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1176/appi.neuropsych.21010025correction
{"title":"Correction to Paredes-Echeverri et al.","authors":"","doi":"10.1176/appi.neuropsych.21010025correction","DOIUrl":"https://doi.org/10.1176/appi.neuropsych.21010025correction","url":null,"abstract":"","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":"35 3","pages":"315"},"PeriodicalIF":2.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9822449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01Epub Date: 2023-07-07DOI: 10.1176/appi.neuropsych.20220135
Tony X Phan, Jerica E Reeder, Lindsey C Keener, Ciaran M Considine, David H Zald, Daniel O Claassen, R Ryan Darby
Objective: Antisocial behaviors are common and problematic among patients with behavioral variant frontotemporal dementia (bvFTD). In the present study, the investigators aimed to validate an informant-based questionnaire developed to measure the extent and severity of antisocial behaviors among patients with dementia.
Methods: The Social Behavior Questionnaire (SBQ) was developed to measure 26 antisocial behaviors on a scale from absent (0) to very severe (5). It was administered to 23 patients with bvFTD, 19 patients with Alzheimer's disease, and 14 patients with other frontotemporal lobar degeneration syndromes. Group-level differences in the presence and severity of antisocial behaviors were measured. Psychometric properties of the SBQ were assessed by using Cronbach's alpha, exploratory factor analysis, and comparisons with a psychopathy questionnaire. Cluster analysis was used to determine whether the SBQ identifies different subgroups of patients.
Results: Antisocial behaviors identified by using the SBQ were common and severe among patients with bvFTD, with at least one such behavior endorsed for 21 of 23 (91%) patients. Antisocial behaviors were more severe among patients with bvFTD, including the subsets of patients with milder cognitive impairment and milder disease severity, than among patients in the other groups. The SBQ was internally consistent (Cronbach's α=0.81). Exploratory factor analysis supported separate factors for aggressive and nonaggressive behaviors. Among the patients with bvFTD, the factor scores for aggressive behavior on the SBQ were correlated with those for antisocial behavior measured on the psychopathy scale, but the nonaggressive scores were not correlated with psychopathy scale measures. The k-means clustering analysis identified a subset of patients with severe antisocial behaviors.
Conclusions: The SBQ is a useful tool to identify, characterize, and measure the severity of antisocial behaviors among patients with dementia.
{"title":"Measuring Antisocial Behaviors in Behavioral Variant Frontotemporal Dementia With a Novel Informant-Based Questionnaire.","authors":"Tony X Phan, Jerica E Reeder, Lindsey C Keener, Ciaran M Considine, David H Zald, Daniel O Claassen, R Ryan Darby","doi":"10.1176/appi.neuropsych.20220135","DOIUrl":"10.1176/appi.neuropsych.20220135","url":null,"abstract":"<p><strong>Objective: </strong>Antisocial behaviors are common and problematic among patients with behavioral variant frontotemporal dementia (bvFTD). In the present study, the investigators aimed to validate an informant-based questionnaire developed to measure the extent and severity of antisocial behaviors among patients with dementia.</p><p><strong>Methods: </strong>The Social Behavior Questionnaire (SBQ) was developed to measure 26 antisocial behaviors on a scale from absent (0) to very severe (5). It was administered to 23 patients with bvFTD, 19 patients with Alzheimer's disease, and 14 patients with other frontotemporal lobar degeneration syndromes. Group-level differences in the presence and severity of antisocial behaviors were measured. Psychometric properties of the SBQ were assessed by using Cronbach's alpha, exploratory factor analysis, and comparisons with a psychopathy questionnaire. Cluster analysis was used to determine whether the SBQ identifies different subgroups of patients.</p><p><strong>Results: </strong>Antisocial behaviors identified by using the SBQ were common and severe among patients with bvFTD, with at least one such behavior endorsed for 21 of 23 (91%) patients. Antisocial behaviors were more severe among patients with bvFTD, including the subsets of patients with milder cognitive impairment and milder disease severity, than among patients in the other groups. The SBQ was internally consistent (Cronbach's α=0.81). Exploratory factor analysis supported separate factors for aggressive and nonaggressive behaviors. Among the patients with bvFTD, the factor scores for aggressive behavior on the SBQ were correlated with those for antisocial behavior measured on the psychopathy scale, but the nonaggressive scores were not correlated with psychopathy scale measures. The k-means clustering analysis identified a subset of patients with severe antisocial behaviors.</p><p><strong>Conclusions: </strong>The SBQ is a useful tool to identify, characterize, and measure the severity of antisocial behaviors among patients with dementia.</p>","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":" ","pages":"374-384"},"PeriodicalIF":2.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10117554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1176/appi.neuropsych.21110269
Katelyn Tadd, Thomas Rego, Frank Gaillard, Charles B Malpas, Mark Walterfang, Dennis Velakoulis, Sarah Farrand
Objective: The appropriateness and clinical utility of neuroimaging in psychiatric populations has been long debated, and the ambiguity of guideline recommendations is well established. Most of the literature is focused on first-episode psychosis. The investigators aimed to review ordering practices and identify risk factors associated with neuroradiological MRI abnormalities and their clinical utility in a general psychiatric population.
Methods: A retrospective file review was undertaken for 100 consecutive brain MRI scans for adult psychiatric inpatients who received scanning as part of their clinical care in an Australian hospital.
Results: Brain MRI was abnormal in 79.0% of scans; in these cases, 72.2% of patients required further investigation or follow-up, with 17.7% requiring urgent referral within days to weeks, despite only 3.7% of admitted patients undergoing MRI during the study period. Psychiatrically relevant abnormalities were found in 32.0% of scans. Abnormalities were more likely to be found in the presence of cognitive impairment, older age, and longer duration of psychiatric disorder. Psychiatrically relevant abnormalities had further associations with older age at onset of the psychiatric disorder and a weak association with abnormal neurological examination. Multiple indications for imaging were present in 57.0% of patients; the most common indications were physical, neurological, and cognitive abnormalities.
Conclusions: Brain MRI is a useful part of psychiatric management in the presence of certain neuropsychiatric risk factors. The present findings suggest that treating teams can judiciously tailor radiological investigations while limiting excessive imaging. Future research in larger cohorts across multiple centers may contribute to shaping more consistent neuroimaging guidelines in psychiatry.
{"title":"Neuroimaging in the Acute Psychiatric Setting: Associations With Neuropsychiatric Risk Factors.","authors":"Katelyn Tadd, Thomas Rego, Frank Gaillard, Charles B Malpas, Mark Walterfang, Dennis Velakoulis, Sarah Farrand","doi":"10.1176/appi.neuropsych.21110269","DOIUrl":"https://doi.org/10.1176/appi.neuropsych.21110269","url":null,"abstract":"<p><strong>Objective: </strong>The appropriateness and clinical utility of neuroimaging in psychiatric populations has been long debated, and the ambiguity of guideline recommendations is well established. Most of the literature is focused on first-episode psychosis. The investigators aimed to review ordering practices and identify risk factors associated with neuroradiological MRI abnormalities and their clinical utility in a general psychiatric population.</p><p><strong>Methods: </strong>A retrospective file review was undertaken for 100 consecutive brain MRI scans for adult psychiatric inpatients who received scanning as part of their clinical care in an Australian hospital.</p><p><strong>Results: </strong>Brain MRI was abnormal in 79.0% of scans; in these cases, 72.2% of patients required further investigation or follow-up, with 17.7% requiring urgent referral within days to weeks, despite only 3.7% of admitted patients undergoing MRI during the study period. Psychiatrically relevant abnormalities were found in 32.0% of scans. Abnormalities were more likely to be found in the presence of cognitive impairment, older age, and longer duration of psychiatric disorder. Psychiatrically relevant abnormalities had further associations with older age at onset of the psychiatric disorder and a weak association with abnormal neurological examination. Multiple indications for imaging were present in 57.0% of patients; the most common indications were physical, neurological, and cognitive abnormalities.</p><p><strong>Conclusions: </strong>Brain MRI is a useful part of psychiatric management in the presence of certain neuropsychiatric risk factors. The present findings suggest that treating teams can judiciously tailor radiological investigations while limiting excessive imaging. Future research in larger cohorts across multiple centers may contribute to shaping more consistent neuroimaging guidelines in psychiatry.</p>","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":"35 2","pages":"184-191"},"PeriodicalIF":2.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10133360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1176/appi.neuropsych.20220123
Mario F Mendez
{"title":"Cotard's Delusion From Subacute Encephalopathy With Seizures in Alcoholism.","authors":"Mario F Mendez","doi":"10.1176/appi.neuropsych.20220123","DOIUrl":"https://doi.org/10.1176/appi.neuropsych.20220123","url":null,"abstract":"","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":"35 2","pages":"202-205"},"PeriodicalIF":2.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9402389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01Epub Date: 2023-04-06DOI: 10.1176/appi.neuropsych.21120312
Joshua C Brown, Helen Dainton-Howard, Jared Woodward, Charles Palmer, Manish Karamchandani, Nolan R Williams, Mark S George
Unprecedented knowledge of the brain is inevitably contributing to the convergence of neurology and psychiatry. However, clinical training continues to follow a divergent approach established in the 19th century. An etiological approach will continue to shift more psychiatric patients to the care of neurologists who are untrained in psychiatric management. At the same time, this new era of diagnostic biomarkers and neuroscience-based precision treatments requires skills not readily available to those trained in psychiatry. The challenges in training the next generation of doctors include establishing competence involving aspects of the whole brain, fostering the subspecialized expertise needed to remain current, and developing programs that are feasible in duration and practical in implementation. A new 4-year residency training program proposed in this article could replace existing residency programs. The program includes 2 years of common and urgent training in various aspects of neurology and psychiatry followed by 2 years of elective subspecialty tracks. The concept is similar to internal medicine residencies and fellowships. No changes to existing departmental structures are necessary. In concert with the emerging biological approach to the brain, "brain medicine" is proposed as a new name to denote this practice in the simplest terms: a focus on all aspects of the brain.
{"title":"Time for Brain Medicine.","authors":"Joshua C Brown, Helen Dainton-Howard, Jared Woodward, Charles Palmer, Manish Karamchandani, Nolan R Williams, Mark S George","doi":"10.1176/appi.neuropsych.21120312","DOIUrl":"10.1176/appi.neuropsych.21120312","url":null,"abstract":"<p><p>Unprecedented knowledge of the brain is inevitably contributing to the convergence of neurology and psychiatry. However, clinical training continues to follow a divergent approach established in the 19th century. An etiological approach will continue to shift more psychiatric patients to the care of neurologists who are untrained in psychiatric management. At the same time, this new era of diagnostic biomarkers and neuroscience-based precision treatments requires skills not readily available to those trained in psychiatry. The challenges in training the next generation of doctors include establishing competence involving aspects of the whole brain, fostering the subspecialized expertise needed to remain current, and developing programs that are feasible in duration and practical in implementation. A new 4-year residency training program proposed in this article could replace existing residency programs. The program includes 2 years of common and urgent training in various aspects of neurology and psychiatry followed by 2 years of elective subspecialty tracks. The concept is similar to internal medicine residencies and fellowships. No changes to existing departmental structures are necessary. In concert with the emerging biological approach to the brain, \"<i>brain medicine</i>\" is proposed as a new name to denote this practice in the simplest terms: a focus on all aspects of the brain.</p>","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":" ","pages":"333-340"},"PeriodicalIF":2.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9245714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}