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Mohammadi S, Seyedmirzaei H, Salehi MA, Jahanshahi A, Zakavi SS, Dehghani Firouzabadi F, Yousem DM. Brain-based Sex Differences in Depression: A Systematic Review of Neuroimaging Studies. Brain Imaging Behav 2023; 17:541-569. [PMID: 37058182 PMCID: PMC10102695 DOI: 10.1007/s11682-023-00772-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/31/2023] [Indexed: 04/15/2023]
Abstract
Major depressive disorder (MDD) is a common psychiatric illness with a wide range of symptoms such as mood decline, loss of interest, and feelings of guilt and worthlessness. Women develop depression more often than men, and the diagnostic criteria for depression mainly rely on female patients' symptoms. By contrast, male depression usually manifests as anger attacks, aggression, substance use, and risk-taking behaviors. Various studies have focused on the neuroimaging findings in psychiatric disorders for a better understanding of their underlying mechanisms. With this review, we aimed to summarize the existing literature on the neuroimaging findings in depression, separated by male and female subjects. A search was conducted on PubMed and Scopus for magnetic resonance imaging (MRI), functional MRI (fMRI), and diffusion tensor imaging (DTI) studies of depression. After screening the search results, 15 MRI, 12 fMRI, and 4 DTI studies were included. Sex differences were mainly reflected in the following regions: 1) total brain, hippocampus, amygdala, habenula, anterior cingulate cortex, and corpus callosum volumes, 2) frontal and temporal gyri functions, along with functions of the caudate nucleus and prefrontal cortex, and 3) frontal fasciculi and frontal projections of corpus callosum microstructural alterations. Our review faces limitations such as small sample sizes and heterogeneity in populations and modalities. But in conclusion, it reflects the possible roles of sex-based hormonal and social factors in the depression pathophysiology.
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Affiliation(s)
- Soheil Mohammadi
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Homa Seyedmirzaei
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Interdisciplinary Neuroscience Research Program (INRP), Tehran University of Medical Sciences, Tehran, Iran
| | | | - Ali Jahanshahi
- School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Seyed Sina Zakavi
- School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - David M Yousem
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institution, Baltimore, MD, USA.
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Taraku B, Zavaliangos-Petropulu A, Loureiro JR, Al-Sharif NB, Kubicki A, Joshi SH, Woods RP, Espinoza R, Narr KL, Sahib AK. White matter microstructural perturbations after total sleep deprivation in depression. Front Psychiatry 2023; 14:1195763. [PMID: 37457774 PMCID: PMC10345348 DOI: 10.3389/fpsyt.2023.1195763] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/06/2023] [Indexed: 07/18/2023] Open
Abstract
Background Total sleep deprivation (TSD) transiently reverses depressive symptoms in a majority of patients with depression. How TSD modulates diffusion tensor imaging (DTI) measures of white matter (WM) microstructure, which may be linked with TSD's rapid antidepressant effects, remains uncharacterized. Methods Patients with depression (N = 48, mean age = 33, 26 women) completed diffusion-weighted imaging and Hamilton Depression Rating (HDRS) and rumination scales before and after >24 h of TSD. Healthy controls (HC) (N = 53, 23 women) completed the same assessments at baseline, and after receiving TSD in a subset of HCs (N = 15). Tract based spatial statistics (TBSS) investigated voxelwise changes in fractional anisotropy (FA) across major WM pathways pre-to-post TSD in patients and HCs and between patients and HCs at baseline. Post hoc analyses tested for TSD effects for other diffusion metrics, and the relationships between change in diffusion measures with change in mood and rumination symptoms. Results Significant improvements in mood and rumination occurred in patients with depression (both p < 0.001), but not in HCs following TSD. Patients showed significant (p < 0.05, corrected) decreases in FA values in multiple WM tracts, including the body of the corpus callosum and anterior corona radiata post-TSD. Significant voxel-level changes in FA were not observed in HCs who received TSD (p > 0.05). However, differential effects of TSD between HCs and patients were found in the superior corona radiata, frontal WM and the posterior thalamic radiation (p < 0.05, corrected). A significant (p < 0.05) association between change in FA and axial diffusivity within the right superior corona radiata and improvement in rumination was found post-TSD in patients. Conclusion Total sleep deprivation leads to rapid microstructural changes in WM pathways in patients with depression that are distinct from WM changes associated with TSD observed in HCs. WM tracts including the superior corona radiata and posterior thalamic radiation could be potential biomarkers of the rapid therapeutic effects of TSD. Changes in superior corona radiata FA, in particular, may relate to improvements in maladaptive rumination.
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Affiliation(s)
- Brandon Taraku
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
| | - Artemis Zavaliangos-Petropulu
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
| | - Joana R. Loureiro
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
| | - Noor B. Al-Sharif
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
| | - Antoni Kubicki
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
| | - Shantanu H. Joshi
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
| | - Roger P. Woods
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Randall Espinoza
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Katherine L. Narr
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Ashish K. Sahib
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
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Denier N, Walther S, Breit S, Mertse N, Federspiel A, Meyer A, Soravia LM, Wallimann M, Wiest R, Bracht T. Electroconvulsive therapy induces remodeling of hippocampal co-activation with the default mode network in patients with depression. Neuroimage Clin 2023; 38:103404. [PMID: 37068311 PMCID: PMC10130338 DOI: 10.1016/j.nicl.2023.103404] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 03/15/2023] [Accepted: 04/09/2023] [Indexed: 04/19/2023]
Abstract
INTRODUCTION Electroconvulsive therapy (ECT) is a highly efficient treatment for depression. Previous studies repeatedly reported an ECT-induced volume increase in the hippocampi. We assume that this also affects extended hippocampal networks. This study aims to investigate the structural and functional interplay between hippocampi, hippocampal pathways and core regions of the default mode network (DMN). Twenty patients with a current depressive episode receiving ECT-treatment and twenty age and sex matched healthy controls (HC) were included in the study. ECT-patients underwent multimodal magnetic resonance imaging (MRI)-scans (diffusion weighted imaging, resting state functional MRI) before and after an ECT-index series. HC were also scanned twice in a similar between-scan time-interval. Parahippocampal cingulum (PHC) and uncinate fasciculus (UF) were reconstructed for each participant using manual tractography. Fractional anisotropy (FA) was averaged across tracts. Furthermore, we investigated seed-based functional connectivity (FC) from bilateral hippocampi and from the PCC, a core region of the DMN. At baseline, FA in PHC and UF did not differ between groups. There was no baseline group difference of hippocampal-FC. PCC-FC was decreased in ECT-patients. ECT induced a decrease in FA in the left PHC in the ECT group. No longitudinal changes of FA were found in the UF. Furthermore, there was a decrease in hippocampal-PCC-FC, an increase in hippocampal-supplementary motor area-FC, and an increase in PCC-FC in the ECT-group, reversing group differences at baseline. Our findings suggest that ECT induces structural and functional remodeling of a hippocampal-DMN. Those changes may contribute to ECT-induced clinical response in patients with depression.
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Affiliation(s)
- Niklaus Denier
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Sigrid Breit
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Nicolas Mertse
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Andrea Federspiel
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Agnes Meyer
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Leila M Soravia
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Meret Wallimann
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Roland Wiest
- Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland; Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland
| | - Tobias Bracht
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.
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Li M, Wu F, Cao Y, Jiang X, Kong L, Tang Y. Abnormal white matter integrity in Papez circuit in first-episode medication-naive adults with anxious depression: A combined voxel-based analysis and region of interest study. J Affect Disord 2023; 324:489-495. [PMID: 36610591 DOI: 10.1016/j.jad.2022.12.149] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 12/25/2022] [Accepted: 12/31/2022] [Indexed: 01/06/2023]
Abstract
BACKGROUND Anxious depression is one of the subtypes of major depressive disorder (MDD), usually defined as "patients with MDD and high levels of anxiety symptoms". Compared to non-anxious MDD (naMDD), patients with anxious MDD (aMDD) have more severe depressive symptoms and suicidal ideation, worse treatment outcomes and remission rates, and poorer prognosis. Current research suggests that the Papez circuit is an important brain structure closely related to emotion, memory, and cognition. This study applied DTI to explore the altered white matter integrity in Papez circuit of patients with aMDD. METHODS DTI data were acquired from 30 medication-naive outpatients with naMDD and 55 with aMDD and 88 demographically similar healthy control (HC) subjects. Voxel-based analysis (VBM) and region of interest (ROI) analysis were conducted to explore the significant difference of fractional anisotropy (FA) values among 3 groups. Pearson's correlations were performed to analyze the correlation between FA values and the score of HAMA-14 and HAMD-17. RESULTS We found that aMDD patients had significantly higher FA values in left fornix (belong to Papez circuit) and left posterior thalamic radiation and right anterior corona radiata (belong to limbic-thalamo-cortical circuitry) compared with HC. And there was variability in the white matter integrity in right posterior thalamic radiation (belong to limbic-thalamo-cortical circuitry) and left fornix (belong to Papez circuit) between aMDD and naMDD patients. LIMITATIONS The cross-sectional study and the population vary between aMDD group and naMDD group are limitations. CONCLUSIONS Abnormal white matter integrity in Papez circuit and Limbic-Thalamo-Cortical circuitry may play an important role in the neuropathology of aMDD and might help to identify aMDD.
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Affiliation(s)
- Mengxue Li
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang 110001, Liaoning, China
| | - Feng Wu
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang 110001, Liaoning, China
| | - Yang Cao
- Shenyang Mental Health Center, Shenyang 110168, Liaoning, China
| | - Xiaowei Jiang
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang 110001, Liaoning, China
| | - Lingtao Kong
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang 110001, Liaoning, China.
| | - Yanqing Tang
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang 110001, Liaoning, China
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Zhou J, Jiang X, Zhou Y, Zhu Y, Jia L, Sun T, Liu L, Sun Q, Ren L, Guo Y, Wu F, Kong L, Tang Y. Distinguishing major depressive disorder from bipolar disorder in remission: A brain structural network analysis. J Affect Disord 2022; 319:8-14. [PMID: 36058360 DOI: 10.1016/j.jad.2022.08.102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 05/18/2022] [Accepted: 08/26/2022] [Indexed: 10/14/2022]
Abstract
BACKGROUND It is challenging to differentiate major depressive disorder (MDD) from bipolar disorder (BD) in depression and remission. To exclude the potential influence of depressive episodes, we compared the white matter (WM) network between MDD and BD patients in remission to find disease-specific alterations in MDD and BD, and then distinguish these two affective disorders. METHODS We recruited 33 patients with remitted MDD (rMDD), 54 patients with remitted BD (rBD), and 60 healthy controls (HCs). Diffusion tensor imaging and high-resolution 3D T1-weighted image were acquired. Global and nodal topological parameters were used to depict the alterations of the whole-brain WM network. RESULTS We found that rMDD displayed increased global network efficiency (Eglob) and local network efficiency (Eloc) compared with HCs, whereas we found no significance between rBD and HCs. Compared with rBD and HCs, patients in the rMDD group showed increased nodal degree and nodal efficiency, and decreased nodal shortest path length in the four cerebral regions, including the right calcarine fissure (CAL.R), right cuneus (CUN.R), left lingual gyrus (LING.L), and left middle occipital gyrus (MOG.L). We did not find any rBD specific changes of nodal topological metrics. LIMITATIONS The main limitation is the possible effects of medication and BD subtypes on the results. CONCLUSIONS Our findings indicate that rMDD exhibited elevated global properties compared with HCs group, and increased nodal properties in the CAL.R, CUN.R, LING.L, and MOG.L specifically compared with rBD and HCs, which may underlie the distinction of the two affective disorders in remission.
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Affiliation(s)
- Jian Zhou
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China; Brain Function Research Section, The First Hospital of China Medical University, Shenyang, China
| | - Xiaowei Jiang
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China; Department of Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Yifang Zhou
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China; Brain Function Research Section, The First Hospital of China Medical University, Shenyang, China
| | - Yue Zhu
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China; Brain Function Research Section, The First Hospital of China Medical University, Shenyang, China
| | - Linna Jia
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China; Brain Function Research Section, The First Hospital of China Medical University, Shenyang, China
| | - Ting Sun
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China; Brain Function Research Section, The First Hospital of China Medical University, Shenyang, China
| | - Linzi Liu
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China; Brain Function Research Section, The First Hospital of China Medical University, Shenyang, China
| | - Qikun Sun
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Luyu Ren
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China; Brain Function Research Section, The First Hospital of China Medical University, Shenyang, China
| | - Yanan Guo
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China; Brain Function Research Section, The First Hospital of China Medical University, Shenyang, China
| | - Feng Wu
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China; Brain Function Research Section, The First Hospital of China Medical University, Shenyang, China
| | - Lingtao Kong
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China; Brain Function Research Section, The First Hospital of China Medical University, Shenyang, China
| | - Yanqing Tang
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China; Department of Geriatric Medicine, The First Hospital of China Medical University, Shenyang, China.
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Hippocampal volume and parahippocampal cingulum alterations are associated with avoidant attachment in patients with depression. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2022. [DOI: 10.1016/j.jadr.2022.100435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Ming Q, Zhang J, Cheng C, Dong D, Sun X, Zhong X, Chen W, Yao S. Trait-like white matter abnormalities in current and remitted depression. Psychiatry Res Neuroimaging 2022; 326:111544. [PMID: 36137479 DOI: 10.1016/j.pscychresns.2022.111544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 08/21/2022] [Accepted: 09/08/2022] [Indexed: 11/26/2022]
Abstract
Microstructural alterations to white matter (WM) have been implicated in the onset and recurrence of major depressive disorder (MDD). The present study aimed to identify trait-like WM abnormality in current and remitted depression, as well as changes to WM that could be specifically related to the state of clinical remission. Diffusion tensor imaging data were collected from 60 patients with medication-naive first episode current depression (cMDD), 41 patients with medication-naive remitted depression (rMDD), and 62 demographically-matched healthy control participants (HCs). Tract-based spatial statistics (TBSS) applied to the whole brain were used to detect microstructural differences of WM among the three groups. TBSS analyses showed that, compared with HCs, both the cMDD and rMDD groups exhibited significantly reduced FA values in the genus and body of the corpus callosum, and superior and anterior corona radiata, with no significant differences between the cMDD and rMDD groups. FA values in the corpus callosum were negatively correlated with the duration of illness in the rMDD group. Reduced WM integrity in the corpus callosum and corona radiata might reflect the trait markers of MDD, and could constitute a neuroanatomical marker of MDD.
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Affiliation(s)
- Qingsen Ming
- Department of Psychiatry, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, China
| | - Jing Zhang
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu 215137, China
| | - Chang Cheng
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Daifeng Dong
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Xiaoqiang Sun
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Xue Zhong
- School of Educational Science, Hunan Normal University, Changsha, Hunan 410081, China
| | - Wen Chen
- Department of Psychiatry, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, China
| | - Shuqiao Yao
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
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Gerlach AR, Karim HT, Peciña M, Ajilore O, Taylor WD, Butters MA, Andreescu C. MRI predictors of pharmacotherapy response in major depressive disorder. Neuroimage Clin 2022; 36:103157. [PMID: 36027717 PMCID: PMC9420953 DOI: 10.1016/j.nicl.2022.103157] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 07/11/2022] [Accepted: 08/15/2022] [Indexed: 02/08/2023]
Abstract
Major depressive disorder is among the most prevalent psychiatric disorders, exacting a substantial personal, social, and economic toll. Antidepressant treatment typically involves an individualized trial and error approach with an inconsistent success rate. Despite a pressing need, no reliable biomarkers for predicting treatment outcome have yet been discovered. Brain MRI measures hold promise in this regard, though clinical translation remains elusive. In this review, we summarize structural MRI and functional MRI (fMRI) measures that have been investigated as predictors of treatment outcome. We broadly divide these into five categories including three structural measures: volumetric, white matter burden, and white matter integrity; and two functional measures: resting state fMRI and task fMRI. Currently, larger hippocampal volume is the most widely replicated predictor of successful treatment. Lower white matter hyperintensity burden has shown robustness in late life depression. However, both have modest discriminative power. Higher fractional anisotropy of the cingulum bundle and frontal white matter, amygdala hypoactivation and anterior cingulate cortex hyperactivation in response to negative emotional stimuli, and hyperconnectivity within the default mode network (DMN) and between the DMN and executive control network also show promise as predictors of successful treatment. Such network-focused measures may ultimately provide a higher-dimensional measure of treatment response with closer ties to the underlying neurobiology.
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Affiliation(s)
- Andrew R Gerlach
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Helmet T Karim
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Marta Peciña
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Olusola Ajilore
- Department of Psychiatry, University of Illinois-Chicago, Chicago, IL, USA
| | - Warren D Taylor
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Geriatric Research, Education, and Clinical Center, Veterans Affairs Tennessee Valley Health System, Nashville, TN, USA
| | - Meryl A Butters
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Carmen Andreescu
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
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9
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Meinert S, Leehr EJ, Grotegerd D, Repple J, Förster K, Winter NR, Enneking V, Fingas SM, Lemke H, Waltemate L, Stein F, Brosch K, Schmitt S, Meller T, Linge A, Krug A, Nenadić I, Jansen A, Hahn T, Redlich R, Opel N, Schubotz RI, Baune BT, Kircher T, Dannlowski U. White matter fiber microstructure is associated with prior hospitalizations rather than acute symptomatology in major depressive disorder. Psychol Med 2022; 52:1166-1174. [PMID: 32921338 DOI: 10.1017/s0033291720002950] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Eighty percent of all patients suffering from major depressive disorder (MDD) relapse at least once in their lifetime. Thus, understanding the neurobiological underpinnings of the course of MDD is of utmost importance. A detrimental course of illness in MDD was most consistently associated with superior longitudinal fasciculus (SLF) fiber integrity. As similar associations were, however, found between SLF fiber integrity and acute symptomatology, this study attempts to disentangle associations attributed to current depression from long-term course of illness. METHODS A total of 531 patients suffering from acute (N = 250) or remitted (N = 281) MDD from the FOR2107-cohort were analyzed in this cross-sectional study using tract-based spatial statistics for diffusion tensor imaging. First, the effects of disease state (acute v. remitted), current symptom severity (BDI-score) and course of illness (number of hospitalizations) on fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity were analyzed separately. Second, disease state and BDI-scores were analyzed in conjunction with the number of hospitalizations to disentangle their effects. RESULTS Disease state (pFWE < 0.042) and number of hospitalizations (pFWE< 0.032) were associated with decreased FA and increased MD and RD in the bilateral SLF. A trend was found for the BDI-score (pFWE > 0.067). When analyzed simultaneously only the effect of course of illness remained significant (pFWE < 0.040) mapping to the right SLF. CONCLUSIONS Decreased FA and increased MD and RD values in the SLF are associated with more hospitalizations when controlling for current psychopathology. SLF fiber integrity could reflect cumulative illness burden at a neurobiological level and should be targeted in future longitudinal analyses.
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Affiliation(s)
- Susanne Meinert
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | | | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Katharina Förster
- Department of Psychiatry, University of Münster, Münster, Germany
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Nils R Winter
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Verena Enneking
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Stella M Fingas
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Hannah Lemke
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Lena Waltemate
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Anna Linge
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Core-Unit Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
- Interdisciplinary Centre for Clinical Research (IZKF) Münster, University of Münster, Münster, Germany
| | | | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
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10
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Vanicek T, Reed MB, Unterholzner J, Klöbl M, Godbersen GM, Handschuh PA, Spurny-Dworak B, Ritter V, Gryglewski G, Kraus C, Winkler D, Lanzenberger R, Seiger R. Escitalopram administration, relearning, and neuroplastic effects: A diffusion tensor imaging study in healthy individuals. J Affect Disord 2022; 301:426-432. [PMID: 35016914 DOI: 10.1016/j.jad.2021.12.135] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 12/10/2021] [Accepted: 12/31/2021] [Indexed: 01/05/2023]
Abstract
BACKGROUND Neuroplastic processes are influenced by serotonergic agents, which reportedly alter white matter microstructure in humans in conjunction with learning. The goal of this double-blind, placebo-controlled imaging study was to investigate the neuroplastic properties of escitalopram and cognitive training on white matter plasticity during (re)learning as a model for antidepressant treatment and environmental factors. METHODS Seventy-one healthy individuals (age=25.6 ± 5.0, 43 females) underwent three diffusion magnetic resonance imaging scans: at baseline, after 3 weeks of associative learning (emotional/non-emotional content), and after relearning shuffled associations for an additional 3 weeks. During the relearning phase, participants received a daily dose of 10 mg escitalopram or placebo orally. Fractional anisotropy (FA), and mean (MD), axial (AD), and radial diffusivity (RD) were calculated within the FMRIB software library and analyzed using tract-based spatial statistics. RESULTS In a three-way repeated-measures marginal model with sandwich estimator standard errors, we found no significant effects of escitalopram and content on AD, FA, MD, and RD during both learning and relearning periods (pFDR>0.05). When testing for escitalopram or content effects separately, we also demonstrated no significant findings (pFDR>0.05) for any of the diffusion tensor imaging metrics. LIMITATIONS The intensity of the study interventions might have been too brief to induce detectable white matter changes. DISCUSSION Previous studies examining the effects of SSRIs on white matter tracts in humans have yielded inconclusive outcomes. Our results indicate that relearning under escitalopram does not affect the white matter microstructures in healthy individuals when administered for 3 weeks.
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Affiliation(s)
- T Vanicek
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - M B Reed
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - J Unterholzner
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - M Klöbl
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - G M Godbersen
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - P A Handschuh
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - B Spurny-Dworak
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - V Ritter
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - G Gryglewski
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - C Kraus
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - D Winkler
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - R Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria.
| | - R Seiger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
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11
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Mertse N, Denier N, Walther S, Breit S, Grosskurth E, Federspiel A, Wiest R, Bracht T. Associations between anterior cingulate thickness, cingulum bundle microstructure, melancholia and depression severity in unipolar depression. J Affect Disord 2022; 301:437-444. [PMID: 35026360 DOI: 10.1016/j.jad.2022.01.035] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 01/04/2022] [Accepted: 01/08/2022] [Indexed: 12/16/2022]
Abstract
BACKGROUND Structural and functional alterations of the anterior cingulate cortex (ACC) have been related to emotional, cognitive and behavioral domains of major depressive disorder. In this study, we investigate cortical thickness of rostral and caudal ACC. In addition, we explore white matter microstructure of the cingulum bundle (CB), a white matter pathway connecting multiple segments of the ACC. We hypothesized reduced cortical thickness and reduced white matter microstructure of the CB in MDD, in particular in the melancholic subtype. In addition, we expect an association between depression severity and CB microstructure. METHODS Fifty-four patients with a current depressive episode and 22 healthy controls matched for age, gender and handedness underwent structural and diffusion-weighted MRI-scans. Cortical thickness of rostral and caudal ACC were computed. The CB was reconstructed bilaterally using manual tractography. Cortical thickness and fractional anisotropy (FA) of bilateral CB were compared first between all patients and healthy controls and second between healthy controls, melancholic and non-melancholic patients. Correlations between FA and depression severity were calculated. RESULTS We found no group differences in rostral and caudal ACC cortical thickness or in FA of the CB comparing all patients with healthy controls. Melancholic patients had reduced cortical thickness of bilateral caudal ACC compared to non-melancholic patients and compared to healthy controls. Across all patients, depression severity was associated with reduced FA in bilateral CB. LIMITATIONS Impact of medication CONCLUSIONS: Cortical thickness of the caudal ACC is associated with the melancholic syndrome. CB microstructure may represent a marker of depression severity.
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Affiliation(s)
- Nicolas Mertse
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111, 3000 Bern 60, Bern, Switzerland
| | - Niklaus Denier
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111, 3000 Bern 60, Bern, Switzerland
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111, 3000 Bern 60, Bern, Switzerland
| | - Sigrid Breit
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111, 3000 Bern 60, Bern, Switzerland
| | - Elmar Grosskurth
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111, 3000 Bern 60, Bern, Switzerland
| | - Andrea Federspiel
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111, 3000 Bern 60, Bern, Switzerland
| | - Roland Wiest
- Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland
| | - Tobias Bracht
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111, 3000 Bern 60, Bern, Switzerland.
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12
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Liu Y, Chen K, Luo Y, Wu J, Xiang Q, Peng L, Zhang J, Zhao W, Li M, Zhou X. Distinguish bipolar and major depressive disorder in adolescents based on multimodal neuroimaging: Results from the Adolescent Brain Cognitive Development study ®. Digit Health 2022; 8:20552076221123705. [PMID: 36090673 PMCID: PMC9452797 DOI: 10.1177/20552076221123705] [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: 08/11/2022] [Accepted: 08/16/2022] [Indexed: 01/10/2023] Open
Abstract
Background Major depressive disorder and bipolar disorder in adolescents are prevalent and are associated with cognitive impairment, executive dysfunction, and increased mortality. Early intervention in the initial stages of major depressive disorder and bipolar disorder can significantly improve personal health. Methods We collected 309 samples from the Adolescent Brain Cognitive Development study, including 116 adolescents with bipolar disorder, 64 adolescents with major depressive disorder, and 129 healthy adolescents, and employed a support vector machine to develop classification models for identification. We developed a multimodal model, which combined functional connectivity of resting-state functional magnetic resonance imaging and four anatomical measures of structural magnetic resonance imaging (cortical thickness, area, volume, and sulcal depth). We measured the performances of both multimodal and single modality classifiers. Results The multimodal classifiers showed outstanding performance compared with all five single modalities, and they are 100% for major depressive disorder versus healthy controls, 100% for bipolar disorder versus healthy control, 98.5% (95% CI: 95.4–100%) for major depressive disorder versus bipolar disorder, 100% for major depressive disorder versus depressed bipolar disorder and the leave-one-site-out analysis results are 77.4%, 63.3%, 79.4%, and 81.7%, separately. Conclusions The study shows that multimodal classifiers show high classification performances. Moreover, cuneus may be a potential biomarker to differentiate major depressive disorder, bipolar disorder, and healthy adolescents. Overall, this study can form multimodal diagnostic prediction workflows for clinically feasible to make more precise diagnose at the early stage and potentially reduce loss of personal pain and public society.
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Affiliation(s)
- Yujun Liu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Kai Chen
- School of Public Health, University of Texas Health Science Center at Houston, Houston, USA
| | - Yangyang Luo
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Jiqiu Wu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Qu Xiang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Li Peng
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Jian Zhang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Weiling Zhao
- Center for Computational Systems Medicine, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, USA
| | - Mingliang Li
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Xiaobo Zhou
- Center for Computational Systems Medicine, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, USA
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13
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Cognition, mood and behavior in CADASIL. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2022; 3:100043. [PMID: 36324403 PMCID: PMC9616390 DOI: 10.1016/j.cccb.2022.100043] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 02/06/2022] [Accepted: 02/06/2022] [Indexed: 01/02/2023]
Abstract
CADASIL is responsible for cognitive, mood or behavior disturbances. Cognitive disturbances range from moderate cognitive slowing to impairment of executive functions and may progress to a global decrease of cognitive efficiency up to severe dementia. Mood disturbances are extremely variable in intensity, depression is the most frequent symptom. Behavioral changes may occur at all stage of the disease, but are often associated with the onset of cognitive alterations. Apathy is the most prominent behavior alteration.
CADASIL is the most common familial cerebral small vessel disease (cSVD). Stereotyped mutations of the NOTCH3 gene are responsible for this archetypal ischemic cSVD that can lead, at the very end stage, to severe dementia. Variable cognitive alterations, mood, or behavior disturbances are frequently observed during the course of the disease. In this review, these clinical manifestations, their occurrence, severity and duration are analyzed in relation to the disease progression. Also, the potential relationships with cerebral lesions and treatment options are discussed.
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14
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Coenen VA, Döbrössy MD, Teo SJ, Wessolleck J, Sajonz BEA, Reinacher PC, Thierauf-Emberger A, Spittau B, Leupold J, von Elverfeldt D, Schlaepfer TE, Reisert M. Diverging prefrontal cortex fiber connection routes to the subthalamic nucleus and the mesencephalic ventral tegmentum investigated with long range (normative) and short range (ex-vivo high resolution) 7T DTI. Brain Struct Funct 2021; 227:23-47. [PMID: 34482443 PMCID: PMC8741702 DOI: 10.1007/s00429-021-02373-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 08/24/2021] [Indexed: 11/30/2022]
Abstract
Uncertainties
concerning anatomy and function of cortico-subcortical projections have arisen during the recent years. A clear distinction between cortico-subthalamic (hyperdirect) and cortico-tegmental projections (superolateral medial forebrain bundle, slMFB) so far is elusive. Deep Brain Stimulation (DBS) of the slMFB (for major depression, MD and obsessive compulsive disorders, OCD) has on the one hand been interpreted as actually involving limbic (prefrontal) hyperdirect pathways. On the other hand slMFB’s stimulation region in the mesencephalic ventral tegmentum is said to impact on other structures too, going beyond the antidepressant (or anti OCD) efficacy of sole modulation of the cortico-tegmental reward-associated pathways. We have here used a normative diffusion MRT template (HCP, n = 80) for long-range tractography and augmented this dataset with ex-vivo high resolution data (n = 1) in a stochastic brain space. We compared this data with histological information and used the high resolution ex-vivo data set to scrutinize the mesencephalic tegmentum for small fiber pathways present. Our work resolves an existing ambiguity between slMFB and prefrontal hyperdirect pathways which—for the first time—are described as co-existent. DBS of the slMFB does not appear to modulate prefrontal hyperdirect cortico-subthalamic but rather cortico-tegmental projections. Smaller fiber structures in the target region—as far as they can be discerned—appear not to be involved in slMFB DBS. Our work enfeebles previous anatomical criticism and strengthens the position of the slMFB DBS target for its use in MD and OCD.
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Affiliation(s)
- Volker A Coenen
- Department of Stereotactic and Functional Neurosurgery, Medical Center of Freiburg University, Breisacher STraße 64, 79106, Freiburg, Germany. .,Medical Faculty of Freiburg University, Freiburg, Germany. .,Center for Deep Brain Stimulation, Medical Center of Freiburg University, Freiburg, Germany. .,Laboratory of Stereotaxy and Interventional Neurosciences, Department of Stereotactic and Functional Neurosurgery, Medical Center of Freiburg University, Freiburg, Germany.
| | - Máté D Döbrössy
- Department of Stereotactic and Functional Neurosurgery, Medical Center of Freiburg University, Breisacher STraße 64, 79106, Freiburg, Germany.,Medical Faculty of Freiburg University, Freiburg, Germany.,Laboratory of Stereotaxy and Interventional Neurosciences, Department of Stereotactic and Functional Neurosurgery, Medical Center of Freiburg University, Freiburg, Germany
| | - Shi Jia Teo
- Medical Faculty of Freiburg University, Freiburg, Germany.,Department of Diagnostic and Interventional Radiology, Medical Physics, Medical Center, University of Freiburg, Freiburg, Germany
| | - Johanna Wessolleck
- Department of Stereotactic and Functional Neurosurgery, Medical Center of Freiburg University, Breisacher STraße 64, 79106, Freiburg, Germany.,Laboratory of Stereotaxy and Interventional Neurosciences, Department of Stereotactic and Functional Neurosurgery, Medical Center of Freiburg University, Freiburg, Germany
| | - Bastian E A Sajonz
- Department of Stereotactic and Functional Neurosurgery, Medical Center of Freiburg University, Breisacher STraße 64, 79106, Freiburg, Germany.,Medical Faculty of Freiburg University, Freiburg, Germany
| | - Peter C Reinacher
- Department of Stereotactic and Functional Neurosurgery, Medical Center of Freiburg University, Breisacher STraße 64, 79106, Freiburg, Germany.,Medical Faculty of Freiburg University, Freiburg, Germany.,Fraunhofer Institute for Laser Technology (ILT), Aachen, Germany
| | - Annette Thierauf-Emberger
- Medical Faculty of Freiburg University, Freiburg, Germany.,Institute of Forensic Medicine, Medical Center of Freiburg University, Freiburg, Germany
| | - Björn Spittau
- Anatomy and Cell Biology, Medical School OWL, Bielefeld University, Bielefeld, Germany.,Institute for Anatomy and Cell Biology, Department of Molecular Embryologie, Faculty of Medicine, Freiburg University, Freiburg, Germany
| | - Jochen Leupold
- Medical Faculty of Freiburg University, Freiburg, Germany.,Department of Diagnostic and Interventional Radiology, Medical Physics, Medical Center, University of Freiburg, Freiburg, Germany
| | - Dominik von Elverfeldt
- Medical Faculty of Freiburg University, Freiburg, Germany.,Department of Diagnostic and Interventional Radiology, Medical Physics, Medical Center, University of Freiburg, Freiburg, Germany
| | - Thomas E Schlaepfer
- Medical Faculty of Freiburg University, Freiburg, Germany.,Center for Deep Brain Stimulation, Medical Center of Freiburg University, Freiburg, Germany.,Division of Interventional Biological Psychiatry, Department of Psychiatry and Psychotherapy, Medical Center of Freiburg University, Freiburg, Germany
| | - Marco Reisert
- Department of Stereotactic and Functional Neurosurgery, Medical Center of Freiburg University, Breisacher STraße 64, 79106, Freiburg, Germany.,Medical Faculty of Freiburg University, Freiburg, Germany.,Department of Diagnostic and Interventional Radiology, Medical Physics, Medical Center, University of Freiburg, Freiburg, Germany
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15
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Zhu Z, Hubbard E, Guo X, Barbosa DAN, Popal AM, Cai C, Jiang H, Zheng Z, Lin J, Gao W, Zhang J, Bartas K, Macchia D, Derdeyn P, Halpern CH, Mayberg HS, Beier KT, Zhu J, Wu H. A connectomic analysis of deep brain stimulation for treatment-resistant depression. Brain Stimul 2021; 14:1226-1233. [PMID: 34400379 DOI: 10.1016/j.brs.2021.08.010] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 08/11/2021] [Accepted: 08/11/2021] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE Deep brain stimulation (DBS) has been used as a treatment of last resort for treatment-resistant depression (TRD) for more than a decade. Many DBS targets have been proposed and tested clinically, but the underlying circuit mechanisms remain unclear. Uncovering white matter tracts (WMT) activated by DBS targets may provide crucial information about the circuit substrates mediating DBS efficacy in ameliorating TRD. METHODS We performed probabilistic tractography using diffusion magnetic resonance imaging datas from 100 healthy volunteers in Human Connectome Project datasets to analyze the structural connectivity patterns of stimulation targeting currently-used DBS target for TRD. We generated mean and binary fiber distribution maps and calculated the numbers of WMT streamlines in the dataset. RESULTS Probabilistic tracking results revealed that activation of distinct DBS targets demonstrated modulation of overlapping but considerably distinct pathways. DBS targets were categorized into 4 groups: Cortical, Striatal, Thalamic, and Medial Forebrain Bundle according to their main modulated WMT and brain areas. Our data also revealed that Brodmann area 10 and amygdala are hub structures that are associated with all DBS targets. CONCLUSIONS Our results together suggest that the distinct mechanism of DBS targets implies individualized target selection and formulation in the future of DBS treatment for TRD. The modulation of Brodmann area 10 and amygdala may be critical for the efficacy of DBS-mediated treatment of TRD.
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Affiliation(s)
- Zhoule Zhu
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310009, China
| | - Elizabeth Hubbard
- Department of Physiology and Biophysics, University of California, Irvine, CA, 92697-4560, USA
| | - Xinxia Guo
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310009, China
| | - Daniel A N Barbosa
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Abdul Malik Popal
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310009, China
| | - Chengwei Cai
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310009, China
| | - Hongjie Jiang
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310009, China
| | - Zhe Zheng
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310009, China
| | - Jingquan Lin
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310009, China
| | - Wei Gao
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310009, China
| | - Jianmin Zhang
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310009, China
| | - Katrina Bartas
- Program in Mathematical, Computational, and Systems Biology, University of California, Irvine, CA, 92697-4560, USA
| | - Desiree Macchia
- Department of Physiology and Biophysics, University of California, Irvine, CA, 92697-4560, USA
| | - Pieter Derdeyn
- Program in Mathematical, Computational, and Systems Biology, University of California, Irvine, CA, 92697-4560, USA
| | - Casey H Halpern
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Helen S Mayberg
- Departments of Neurology and Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Kevin T Beier
- Department of Physiology and Biophysics, University of California, Irvine, CA, 92697-4560, USA; Department of Neurobiology and Behavior, University of California, Irvine, CA, 92697-4560, USA; Department of Biomedical Engineering, University of California, Irvine, CA, 92697-4560, USA; Department of Pharmaceutical Sciences, University of California, Irvine, CA, 92697-4560, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, 92697, USA.
| | - Junming Zhu
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310009, China.
| | - Hemmings Wu
- Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310009, China.
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16
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Tracking white-matter brain modifications in chronic non-bothersome acoustic trauma tinnitus. NEUROIMAGE-CLINICAL 2021; 31:102696. [PMID: 34029920 PMCID: PMC8163994 DOI: 10.1016/j.nicl.2021.102696] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 05/05/2021] [Accepted: 05/06/2021] [Indexed: 11/30/2022]
Abstract
Tractography was compared between two groups of tinnitus and control participants. Diffusion was modeled with ss3t-CSD allowing apparent fiber density (AFD) calculation. 27 bundles of interest were chosen for their link to the auditory and limbic systems. AFD was significantly increased in the tinnitus group in the right frontal isthmus. AFD in the acoustic radiations was not significantly different between the groups.
Subjective tinnitus is a symptom characterized by the perception of sound with no external acoustic source, most often accompanied by co-morbidities. To date, the specific role of white matter abnormalities related to tinnitus reaches no consensus in the literature. The goal of this study was to explore the structural connectivity related to tinnitus percept per se, thus focusing on a specific population presenting chronic non-bothersome tinnitus of similar etiology (noise induced) without co-morbidities. We acquired diffusion-weighted images with high angular resolution in a homogeneous group of mildly impacted tinnitus participants (n = 19) and their matched controls (n = 19). We focused the study on two subsets of fiber bundles of interest: on one hand, we extracted the acoustic radiation and further included any intersecting fiber bundles; on the other hand, we explored the tracts related to the limbic system. We modeled the diffusion signal using constrained spherical deconvolution. We conducted a deep-learning based tractography segmentation and mapped Apparent Fiber Density (AFD) on the bundles of interest. C, as well as Fractional Anisotropy (FA) and FOD peak amplitude for comparison. Between group statistical comparison was performed along the 27 tracts of interest controlling for confounding hearing loss, tinnitus severity, and duration since onset. We tested a potential correlation with hearing loss, tinnitus duration and tinnitus handicap score along these tracts. In the tinnitus group, we observed increased AFD related to chronic tinnitus percept after acoustic trauma in two main white matter regions. First, in the right hemisphere, in the isthmus between inferior temporal and inferior frontal cortices, in the uncinate fasciculus (UF), and in the inferior fronto-occipital bundle (IFO). Second, in the left hemisphere, underneath the superior parietal region in the thalamo parietal tract and parieto-occipital pontine tract. Between-group differences in the acoustic radiations were not significant with AFD but were with FA. Furthermore, significant correlations with hearing loss were found in the left hemisphere in the inferior longitudinal fasciculus and in the fronto-pontine tract. No additional correlation was found with tinnitus duration nor with tinnitus handicap, as reflected by THI scores. The regions that displayed tinnitus related increased AFD also displayed increased FA. The isthmus of the UF and IFO in the right hemisphere appear to be involved with a number of neuropsychiatric and traumatic disorders confirming the involvement of the limbic system even in chronic non-bothersome tinnitus subjects, potentially suggesting a common pathway between these pathologies. White matter changes underneath the superior parietal cortex found here in tinnitus participants supports the implication of an auditory-somatosensory pathway in tinnitus perception.
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17
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Xue L, Pei C, Wang X, Wang H, Tian S, Yao Z, Lu Q. Predicting Neuroimaging Biomarkers for Antidepressant Selection in Early Treatment of Depression. J Magn Reson Imaging 2021; 54:551-559. [PMID: 33634921 DOI: 10.1002/jmri.27577] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 02/09/2021] [Accepted: 02/10/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Due to the biological heterogeneity, 60%-70% of patients with major depressive disorder (MDD) do not respond to or achieve remission from first-line antidepressants. Predicting neuroimaging biomarkers for early antidepressant treatment could guide initial antidepressant therapy. PURPOSE To assess for neuroimaging biomarkers for antidepressant selection in early antidepressant treatment. STUDY TYPE Prospective. SUBJECTS A total of 85 MDD patients from the major site and 33 MDD patients from an out-of-sample test site. FIELD STRENGTH/SEQUENCE A 3.0 T, T1-weighted imaging using a magnetization-prepared rapid acquisition gradient-echo sequence and diffusion tensor imaging (DTI) using an echo-planar sequence. ASSESSMENT Baseline DTI data of patients who achieved early improvement after 2-weeks of antidepressant treatment (selective serotonin reuptake inhibitors [SSRI] or serotonin-norepinephrine reuptake inhibitors [SNRI]) were analyzed. An ensemble model was constructed using data from the major site and then applied to assess the early response of patients at the out-of-sample test site. STATISTICAL TESTS Support vector machine combined with leave-one-out cross-validation were applied to construct the whole model from individual base models from different brain regions. Discriminative biomarkers were evaluated by calculating the changes in sensitivity and specificity obtained when removing a single base model from the whole model, the base model being removed changing in each run. RESULTS Training performance over MDD patients at the major site achieved 75% accuracy while performance with accuracy of 70% was achieved in the out-of-sample test site. Assessing sensitivity and specificity changes following the removal of single base models from the prominent model highlighted the functions of two neural circuitries: SSRI-related emotion regulation circuitry, centered on the hippocampus (sensitivity changes: 10%) and amygdala (sensitivity changes: 11%); and SNRI-related emotion and reward circuitry, centered on the putamen (specificity changes: 8%) and orbital part of superior frontal gyrus (specificity changes: 12%). DATA CONCLUSION These findings support future research on clinical antidepressant selection for MDD. EVIDENCE LEVEL 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Li Xue
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China.,Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing, 210096, China
| | - Cong Pei
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China.,Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing, 210096, China
| | - Xinyi Wang
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China.,Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing, 210096, China
| | - Huan Wang
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China.,Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing, 210096, China
| | - Shui Tian
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China.,Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing, 210096, China
| | - Zhijian Yao
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.,Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing, 210093, China
| | - Qing Lu
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China.,Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing, 210096, China
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Masuda Y, Okada G, Takamura M, Shibasaki C, Yoshino A, Yokoyama S, Ichikawa N, Okuhata S, Kobayashi T, Yamawaki S, Okamoto Y. Age-related white matter changes revealed by a whole-brain fiber-tracking method in bipolar disorder compared to major depressive disorder and healthy controls. Psychiatry Clin Neurosci 2021; 75:46-56. [PMID: 33090632 PMCID: PMC7894167 DOI: 10.1111/pcn.13166] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 09/23/2020] [Accepted: 10/15/2020] [Indexed: 02/01/2023]
Abstract
AIM Several studies have reported altered age-associated changes in white matter integrity in bipolar disorder (BD). However, little is known as to whether these age-related changes are illness-specific. We assessed disease-specific effects by controlling for age and investigated age-associated changes and Group × Age interactions in white matter integrity among major depressive disorder (MDD) patients, BD patients, and healthy controls. METHODS Healthy controls (n = 96; age range, 20-77 years), MDD patients (n = 101; age range, 25-78 years), and BD patients (n = 58; age range, 22-76 years) participated in this study. Fractional anisotropy (FA) derived from diffusion tensor imaging in 54 white matter tracts were compared after controlling for the linear and quadratic effect of age using a generalized linear model. Age-related effects and Age × Group interactions were also assessed in the model. RESULTS The main effect of group was significant in the left column and body of the fornix after controlling for both linear and quadratic effects of age, and in the left body of the corpus callosum after controlling for the quadratic effect of age. BD patients exhibited significantly lower FA relative to other groups. There was no Age × Group interaction in the tracts. CONCLUSION Significant FA reductions were found in BD patients after controlling for age, indicating that abnormal white matter integrity in BD may occur at a younger age rather than developing progressively with age.
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Affiliation(s)
- Yoshikazu Masuda
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Go Okada
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Masahiro Takamura
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Chiyo Shibasaki
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Atsuo Yoshino
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Satoshi Yokoyama
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Naho Ichikawa
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Shiho Okuhata
- Graduate School of Engineering, Kyoto University, Kyoto, Japan
| | | | - Shigeto Yamawaki
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Yasumasa Okamoto
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
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19
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Masuda Y, Okada G, Takamura M, Shibasaki C, Yoshino A, Yokoyama S, Ichikawa N, Okuhata S, Kobayashi T, Yamawaki S, Okamoto Y. White matter abnormalities and cognitive function in euthymic patients with bipolar disorder and major depressive disorder. Brain Behav 2020; 10:e01868. [PMID: 33009714 PMCID: PMC7749556 DOI: 10.1002/brb3.1868] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 08/12/2020] [Accepted: 09/14/2020] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVES In recent years, a growing number of diffusion tensor imaging (DTI) studies have compared white matter integrity between patients with major depressive disorder (MDD) and bipolar disorder (BD). However, few studies have examined the pathophysiological significance of different degrees of white matter abnormalities between the two disorders. The present study comprehensively assessed white matter integrity among healthy controls (HC) and euthymic patients with MDD and BD using whole-brain tractography and examined associations between white matter integrity and cognitive functioning. METHODS We performed neurocognitive examinations and DTI with 30 HCs, 30 patients with MDD, and 30 patients with BD. We statistically evaluated white matter integrity and cognitive function differences across the three groups, assessing associations between white matter integrities and cognitive function. RESULTS The BD group showed lower fractional anisotropy (FA) for the corpus callosum body, as well as lower, sustained attention and set-shifting scores compared to the other groups. FA for the left body of the corpus callosum was correlated with sustained attention in patients with BD. CONCLUSIONS The significant reduction of white matter integrity in the corpus callosum in BD, compared to MDD, was associated with an impairment of sustained attention. This result promotes the understanding of the significance of white matter integrity in mood disorders.
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Affiliation(s)
- Yoshikazu Masuda
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Go Okada
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Masahiro Takamura
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Chiyo Shibasaki
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Atsuo Yoshino
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Satoshi Yokoyama
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Naho Ichikawa
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Shiho Okuhata
- Graduate School of Engineering, Kyoto University, Kyoto, Japan
| | | | - Shigeto Yamawaki
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Yasumasa Okamoto
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
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20
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Melloni EMT, Poletti S, Dallaspezia S, Bollettini I, Vai B, Barbini B, Zanardi R, Colombo C, Benedetti F. Changes of white matter microstructure after successful treatment of bipolar depression. J Affect Disord 2020; 274:1049-1056. [PMID: 32663931 DOI: 10.1016/j.jad.2020.05.146] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 04/22/2020] [Accepted: 05/27/2020] [Indexed: 01/31/2023]
Abstract
BACKGROUND Diffusion tensor imaging (DTI) measures suggest a widespread alteration of white matter (WM) microstructure in patients with bipolar disorder (BD). The chronotherapeutic combination of repeated total sleep deprivation and morning light therapy (TSD+LT) can acutely reverse depressive symptoms in approximately 60% of patients, and it has been confirmed as a model antidepressant treatment to investigate the neurobiological correlates of rapid antidepressant response. METHODS We tested if changes in DTI measures of WM microstructure could parallel antidepressant response in a sample of 44 patients with a major depressive episode in course of BD, treated with chronoterapeutics for one week. We used both a tract-wise and a voxel-wise approach for the whole-brain extraction of DTI measures of WM microstructure: axial (AD), radial (RD), and mean diffusivity (MD), and fractional anisotropy (FA). RESULTS Compared to baseline level, at one-week follow up we observed a significant increase in average FA measures paralleled by a significant decrease in MD measures of several WM tracts including cingulum, corpus callosum, corona radiata, cortico-spinal tract, internal capsule, fornix and uncinate fasciculus. The degree of change was associated to clinical response. CONCLUSIONS This is the first study to show changes of individual DTI measures of WM microstructure in response to antidepressant treatment in BD. Our results add new evidence to warrant a role for chronotherapeutics as a first-line treatment for bipolar depression and contribute identifying generalizable neuroimaging-based biomarkers of antidepressant response.
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Affiliation(s)
- Elisa M T Melloni
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy.
| | - Sara Poletti
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
| | - Sara Dallaspezia
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Irene Bollettini
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Benedetta Vai
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy; Fondazione Centro San Raffaele, Milano, Italy
| | - Barbara Barbini
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Raffaella Zanardi
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Cristina Colombo
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
| | - Francesco Benedetti
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
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21
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Severity of current depression and remission status are associated with structural connectome alterations in major depressive disorder. Mol Psychiatry 2020; 25:1550-1558. [PMID: 31758093 DOI: 10.1038/s41380-019-0603-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 10/25/2019] [Accepted: 11/11/2019] [Indexed: 11/08/2022]
Abstract
Major depressive disorder (MDD) is associated to affected brain wiring. Little is known whether these changes are stable over time and hence might represent a biological predisposition, or whether these are state markers of current disease severity and recovery after a depressive episode. Human white matter network ("connectome") analysis via network science is a suitable tool to investigate the association between affected brain connectivity and MDD. This study examines structural connectome topology in 464 MDD patients (mean age: 36.6 years) and 432 healthy controls (35.6 years). MDD patients were stratified categorially by current disease status (acute vs. partial remission vs. full remission) based on DSM-IV criteria. Current symptom severity was assessed continuously via the Hamilton Depression Rating Scale (HAMD). Connectome matrices were created via a combination of T1-weighted magnetic resonance imaging (MRI) and tractography methods based on diffusion-weighted imaging. Global tract-based metrics were not found to show significant differences between disease status groups, suggesting conserved global brain connectivity in MDD. In contrast, reduced global fractional anisotropy (FA) was observed specifically in acute depressed patients compared to fully remitted patients and healthy controls. Within the MDD patients, FA in a subnetwork including frontal, temporal, insular, and parietal nodes was negatively associated with HAMD, an effect remaining when correcting for lifetime disease severity. Therefore, our findings provide new evidence of MDD to be associated with structural, yet dynamic, state-dependent connectome alterations, which covary with current disease severity and remission status after a depressive episode.
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22
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Coenen VA, Schlaepfer TE, Sajonz B, Döbrössy M, Kaller CP, Urbach H, Reisert M. Tractographic description of major subcortical projection pathways passing the anterior limb of the internal capsule. Corticopetal organization of networks relevant for psychiatric disorders. Neuroimage Clin 2020; 25:102165. [PMID: 31954987 PMCID: PMC6965747 DOI: 10.1016/j.nicl.2020.102165] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 12/06/2019] [Accepted: 01/09/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND Major depression (MD) and obsessive-compulsive disorder (OCD) are psychiatric diseases with a huge impact on individual well-being. Despite optimal treatment regiments a subgroup of patients remains treatment resistant and stereotactic surgery (stereotactic lesion surgery, SLS or Deep Brain Stimulation, DBS) might be an option. Recent research has described four networks related to MD and OCD (affect, reward, cognitive control, default network) but only on a cortical and the adjacent sub-cortical level. Despite the enormous impact of comparative neuroanatomy, animal science and stereotactic approaches a holistic theory of subcortical and cortical network interactions is elusive. Because of the dominant hierarchical rank of the neocortex, corticofugal approaches have been used to identify connections in subcortical anatomy without anatomical priors and in part confusing results. We here propose a different corticopetal approach by identifying subcortical networks and search for neocortical convergences thereby following the principle of phylogenetic and ontogenetic network development. MATERIAL AND METHODS This work used a diffusion tensor imaging data from a normative cohort (Human Connectome Project, HCP; n = 200) to describe eight subcortical fiber projection pathways (PPs) from subthalamic nucleus (STN), substantia nigra (SNR), red nucleus (RN), ventral tegmental area (VTA), ventrolateral thalamus (VLT) and mediodorsal thalamus (MDT) in a normative space (MNI). Subcortical and cortical convergences were described including an assignment of the specific pathways to MD/OCD-related networks. Volumes of activated tissue for different stereotactic stimulation sites and procedures were simulated to understand the role of the distinct networks, with respect to symptoms and treatment of OCD and MD. RESULTS The detailed course of eight subcortical PPs (stnPP, snrPP, rnPP, vlATR, vlATRc, mdATR, mdATRc, vtaPP/slMFB) were described together with their subcortical and cortical convergences. The anterior limb of the internal capsule can be subdivided with respect to network occurrences in ventral-dorsal and medio-lateral gradients. Simulation of stereotactic procedures for OCD and MD showed dominant involvement of mdATR/mdATRc (affect network) and vtaPP/slMFB (reward network). DISCUSSION Corticofugal search strategies for the evaluation of stereotactic approaches without anatomical priors often lead to confusing results which do not allow for a clear assignment of a procedure to an involved network. According to our simulation of stereotactic procedures in the treatment of OCD and MD, most of the target regions directly involve the reward (and affect) networks, while side-effects can in part be explained with a co-modulation of the control network. CONCLUSION The here proposed corticopetal approach of a hierarchical description of 8 subcortical PPs with subcortical and cortical convergences represents a new systematics of networks found in all different evolutionary and distinct parts of the human brain.
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Affiliation(s)
- Volker A Coenen
- Department of Stereotactic and Functional Neurosurgery, Freiburg University Medical Center and Medical Faculty of Freiburg University, Breisacher Strasse 64, Freiburg im Breisgau 79106, Germany; Center for Basics in Neuromodulation, Freiburg University, Germany.
| | - Thomas E Schlaepfer
- Department of Interventional Biological Psychiatry, Freiburg University Medical Center and Medical Faculty of Freiburg University, Germany
| | - Bastian Sajonz
- Department of Stereotactic and Functional Neurosurgery, Freiburg University Medical Center and Medical Faculty of Freiburg University, Breisacher Strasse 64, Freiburg im Breisgau 79106, Germany
| | - Máté Döbrössy
- Department of Stereotactic and Functional Neurosurgery, Freiburg University Medical Center and Medical Faculty of Freiburg University, Breisacher Strasse 64, Freiburg im Breisgau 79106, Germany
| | - Christoph P Kaller
- Department of Neuroradiology, Freiburg University Medical Center and Medical Faculty of Freiburg University, Germany
| | - Horst Urbach
- Department of Neuroradiology, Freiburg University Medical Center and Medical Faculty of Freiburg University, Germany
| | - Marco Reisert
- Department of Stereotactic and Functional Neurosurgery, Freiburg University Medical Center and Medical Faculty of Freiburg University, Breisacher Strasse 64, Freiburg im Breisgau 79106, Germany
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23
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Coenen VA, Schlaepfer TE, Reinacher PC, Mast H, Urbach H, Reisert M. Machine learning-aided personalized DTI tractographic planning for deep brain stimulation of the superolateral medial forebrain bundle using HAMLET. Acta Neurochir (Wien) 2019; 161:1559-1569. [PMID: 31144167 PMCID: PMC6616222 DOI: 10.1007/s00701-019-03947-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 04/24/2019] [Indexed: 11/03/2022]
Abstract
BACKGROUND Growing interest exists for superolateral medial forebrain bundle (slMFB) deep brain stimulation (DBS) in psychiatric disorders. The surgical approach warrants tractographic rendition. Commercial stereotactic planning systems use deterministic tractography which suffers from inherent limitations, is dependent on manual interaction (ROI definition), and has to be regarded as subjective. We aimed to develop an objective but patient-specific tracking of the slMFB which at the same time allows the use of a commercial surgical planning system in the context of deep brain stimulation. METHODS The HAMLET (Hierarchical Harmonic Filters for Learning Tracts from Diffusion MRI) machine learning approach was introduced into the standardized workflow of slMFB DBS tractographic planning on the basis of patient-specific dMRI. Rendition of the slMFB with HAMLET serves as an objective comparison for the refinement of the deterministic tracking procedure. Our application focuses on the tractographic planning of DBS (N = 8) for major depression and OCD. RESULTS Previous results have shown that only fibers belonging to the ventral tegmental area to prefrontal/orbitofrontal axis should be targeted. With the proposed technique, the deterministic tracking approach, that serves as the surgical planning data, can be refined, over-sprouting fibers are eliminated, bundle thickness is reduced in the target region, and thereby probably a more accurate targeting is facilitated. The HAMLET-driven method is meant to achieve a more objective surgical fiber display of the slMFB with deterministic tractography. CONCLUSIONS The approach allows overlying the results of patient-specific planning from two different approaches (manual deterministic and machine learning HAMLET). HAMLET shows the slMFB as a volume and thus serves as an objective tracking corridor. It helps to refine results from deterministic tracking in the surgical workspace without interfering with any part of the standard software solution. We have now included this workflow in our daily clinical experimental work on slMFB DBS for psychiatric indications.
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Davis AD, Hassel S, Arnott SR, Harris J, Lam RW, Milev R, Rotzinger S, Zamyadi M, Frey BN, Minuzzi L, Strother SC, MacQueen GM, Kennedy SH, Hall GB. White Matter Indices of Medication Response in Major Depression: A Diffusion Tensor Imaging Study. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2019; 4:913-924. [PMID: 31471185 DOI: 10.1016/j.bpsc.2019.05.016] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 05/28/2019] [Indexed: 01/17/2023]
Abstract
BACKGROUND While response to antidepressants in major depressive disorder is difficult to predict, characterizing the organization and integrity of white matter in the brain with diffusion tensor imaging (DTI) may provide the means to distinguish between antidepressant responders and nonresponders. METHODS DTI data were collected at 6 sites (Canadian Biomarker Integration Network in Depression-1 [CAN-BIND-1 study]) from 200 (127 women) depressed and 112 (71 women) healthy participants at 3 time points: at baseline, 2 weeks, and 8 weeks following initiation of selective serotonin reuptake inhibitor treatment. Therapeutic response was established by a 50% reduction of symptoms at 8 weeks. Analysis on responders, nonresponders, and control subjects yielded 4 scalar metrics: fractional anisotropy and mean, axial, and radial diffusivity. Region-of-interest analysis was carried out on 40 white matter regions using a skeletonization approach. Mixed-effects regression was incorporated to test temporal trends. RESULTS The data acquired at baseline showed that axial diffusivity in the external capsule, which overlaps the superior longitudinal fasciculus, was significantly associated with medication response. Regression analysis revealed further baseline differences of responders compared with nonresponders in the cingulum regions, sagittal stratum, and corona radiata. Additional group differences relative to control subjects were seen in the internal capsule, posterior thalamic radiation, and uncinate fasciculus. Most effect sizes were moderate (near 0.5), with a maximum of 0.76 in the cingulum-hippocampus region. No temporal changes in DTI metrics were observed over the 8-week study period. CONCLUSIONS Several DTI measures of altered white matter specifically distinguished medication responders and nonresponders at baseline and show promise for predicting treatment response in depression.
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Affiliation(s)
- Andrew D Davis
- Department of Psychology, Neuroscience & Behavior, McMaster University, Hamilton, Ontario, Canada; Imaging Research Center, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Stefanie Hassel
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Stephen R Arnott
- Rotman Research Institute, Baycrest Centre, Toronto, Ontario, Canada
| | - Jacqueline Harris
- Department of Computer Science, University of Alberta, Edmonton, Alberta, Canada
| | - Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Roumen Milev
- Department of Psychology, Queen's University, Kingston, Ontario, Canada; Department of Psychiatry, Queen's University and Providence Care Hospital, Kingston, Ontario, Canada
| | - Susan Rotzinger
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, St. Michael's Hospital, Toronto, Ontario, Canada; Department of Psychiatry, Krembil Research Centre, University Health Network, Toronto, Ontario, Canada; Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Mojdeh Zamyadi
- Rotman Research Institute, Baycrest Centre, Toronto, Ontario, Canada
| | - Benicio N Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada; Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Luciano Minuzzi
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada; Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Stephen C Strother
- Rotman Research Institute, Baycrest Centre, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Glenda M MacQueen
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Sidney H Kennedy
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, St. Michael's Hospital, Toronto, Ontario, Canada; Department of Psychiatry, Krembil Research Centre, University Health Network, Toronto, Ontario, Canada; Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Geoffrey B Hall
- Department of Psychology, Neuroscience & Behavior, McMaster University, Hamilton, Ontario, Canada; Imaging Research Center, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada.
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25
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Bracht T, Steinau S, Federspiel A, Schneider C, Wiest R, Walther S. Physical activity is associated with left corticospinal tract microstructure in bipolar depression. NEUROIMAGE-CLINICAL 2018; 20:939-945. [PMID: 30308380 PMCID: PMC6178191 DOI: 10.1016/j.nicl.2018.09.033] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 08/07/2018] [Accepted: 09/29/2018] [Indexed: 12/22/2022]
Abstract
Psychomotor retardation and reduced daily activities are core features of the depressive syndrome including bipolar disorder (BD). It was the aim of this study to investigate white matter microstructure of the motor system in BD during depression and its association with motor activity. We hypothesized reduced physical activity, microstructural alterations of motor tracts and different associations between activity levels and motor tract microstructure in BD. Nineteen bipolar patients with a current depressive episode (BD) and 19 healthy controls (HC) underwent diffusion weighted magnetic resonance imaging (DW-MRI)-scans. Quantitative motor activity was assessed with 24 h actigraphy recordings. Bilateral corticospinal tracts (CST), interhemispheric connections between the primary motor cortices (M1) and between the pre-supplementary motor areas (pre-SMA) were reconstructed individually based on anatomical landmarks using Diffusion Tensor Imaging (DTI) based tractography. Mean fractional anisotropy (FA) was sampled along the tracts. To enhance specificity of putative findings a segment of the optic radiation was reconstructed as comparison tract. Analyses were complemented with Tract Based Spatial Statistics (TBSS) analyses. BD had lower activity levels (AL). There was a sole increase of fractional anisotropy (FA) in BD in the left CST. Further, there was a significant group x AL interaction for FA of the left CST pointing to a selective positive association between FA and AL in BD. The comparison tract and TBSS analyses did not detect significant group differences. Our results point to white matter microstructure alterations of the left CST in BD. The positive association between motor activity and white matter microstructure suggests a compensatory role of the left CST for psychomotor retardation in BD. Daily physical activity is reduced in bipolar patients with a current depressive episode (BD) The left corticospinal tract (CST) in BD shows increased fractional anisotropy (FA) Increases of FA in the left corticospinal tract in BD are related to less pronounced psychomotor retardation
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Affiliation(s)
- Tobias Bracht
- University Hospital of Psychiatry, University of Bern, Bern, Switzerland; Translational Research Centre, University Hospital of Psychiatry, University of Bern, Bern, Switzerland.
| | - Sarah Steinau
- University Hospital of Psychiatry, University of Bern, Bern, Switzerland; Translational Research Centre, University Hospital of Psychiatry, University of Bern, Bern, Switzerland; Psychiatric University Hospital Zurich, Department of Forensic Psychiatry, Zurich, Switzerland
| | - Andrea Federspiel
- Translational Research Centre, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Christoph Schneider
- University Hospital of Psychiatry, University of Bern, Bern, Switzerland; Translational Research Centre, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Roland Wiest
- Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland
| | - Sebastian Walther
- University Hospital of Psychiatry, University of Bern, Bern, Switzerland; Translational Research Centre, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
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Dillon DG, Gonenc A, Belleau E, Pizzagalli DA. Depression is associated with dimensional and categorical effects on white matter pathways. Depress Anxiety 2018; 35:440-447. [PMID: 29486093 PMCID: PMC5934303 DOI: 10.1002/da.22734] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Revised: 01/10/2018] [Accepted: 01/25/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Diffusion tensor imaging (DTI) studies report reduced fractional anisotropy (FA) in major depressive disorder (MDD). However, whether FA covaries with key depressive symptoms, such as anhedonia, is unclear. METHODS Magnetic resonance imaging data were acquired from 38 unmedicated adults with MDD and 52 healthy controls. DTI metrics were extracted from regions of interest that have consistently shown reduced FA in MDD. Analyses focused first on identifying group differences, and then determining whether reduced FA in depressed adults was related to individual differences in anhedonia and depressive severity. To establish specificity to depression, these analyses controlled for symptoms of anxiety. RESULTS Relative to controls, depressed adults showed reduced FA in the genu of the corpus callosum, the anterior limb of the internal capsule (ALIC), the cingulum bundle near the anterior cingulate cortex, and the uncinate fasciculus (UF). In the depressed group, anhedonia negatively correlated with FA in the genu, cingulum, and UF, but positively correlated with radial diffusivity (RD)-a metric previously linked to demyelination-in the genu and ALIC. Depressive severity positively correlated with RD in the ALIC. These relationships remained significant after accounting for anxiety. CONCLUSION Anhedonia was positively correlated with reduced FA and increased RD in white matter pathways that connect regions critical for value coding, representing stimulus-reward associations, and guiding value-based action selection. Thus, a cardinal symptom of MDD-anhedonia-was lawfully related to abnormalities in reward network connectivity.
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Affiliation(s)
- Daniel G. Dillon
- Center for Depression, Anxiety and Stress Research, McLean Hospital/Harvard Medical School
| | - Atilla Gonenc
- McLean Imaging Center, McLean Hospital/Harvard Medical School
| | - Emily Belleau
- Center for Depression, Anxiety and Stress Research, McLean Hospital/Harvard Medical School
| | - Diego A. Pizzagalli
- Center for Depression, Anxiety and Stress Research, McLean Hospital/Harvard Medical School
- McLean Imaging Center, McLean Hospital/Harvard Medical School
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Coenen VA, Schumacher LV, Kaller C, Schlaepfer TE, Reinacher PC, Egger K, Urbach H, Reisert M. The anatomy of the human medial forebrain bundle: Ventral tegmental area connections to reward-associated subcortical and frontal lobe regions. Neuroimage Clin 2018; 18:770-783. [PMID: 29845013 PMCID: PMC5964495 DOI: 10.1016/j.nicl.2018.03.019] [Citation(s) in RCA: 84] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 03/13/2018] [Accepted: 03/14/2018] [Indexed: 12/29/2022]
Abstract
Introduction Despite their importance in reward, motivation, and learning there is only sparse anatomical knowledge about the human medial forebrain bundle (MFB) and the connectivity of the ventral tegmental area (VTA). A thorough anatomical and microstructural description of the reward related PFC/OFC regions and their connection to the VTA - the superolateral branch of the MFB (slMFB) - is however mandatory to enable an interpretation of distinct therapeutic effects from different interventional treatment modalities in neuropsychiatric disorders (DBS, TMS etc.). This work aims at a normative description of the human MFB (and more detailed the slMFB) anatomy with respect to distant prefrontal connections and microstructural features. Methods and material Healthy subjects (n = 55; mean age ± SD, 40 ± 10 years; 32 females) underwent high resolution anatomical magnetic resonance imaging including diffusion tensor imaging. Connectivity of the VTA and the resulting slMFB were investigated on the group level using a global tractography approach. The Desikan/Killiany parceling (8 segments) of the prefrontal cortex was used to describe sub-segments of the MFB. A qualitative overlap with Brodmann areas was additionally described. Additionally, a pure visual analysis was performed comparing local and global tracking approaches for their ability to fully visualize the slMFB. Results The MFB could be robustly described both in the present sample as well as in additional control analyses in data from the human connectome project. Most VTA- connections reached the superior frontal gyrus, the middel frontal gyrus and the lateral orbitofrontal region corresponding to Brodmann areas 10, 9, 8, 11, and 11m. The projections to these regions comprised 97% (right) and 98% (left) of the total relative fiber counts of the slMFB. Discussion The anatomical description of the human MFB shows far reaching connectivity of VTA to reward-related subcortical and cortical prefrontal regions - but not to emotion-related regions on the medial cortical surface - realized via the superolateral branch of the MFB. Local tractography approaches appear to be inferior in showing these far-reaching projections. Since these local approaches are typically used for surgical targeting of DBS procedures, the here established detailed map might - as a normative template - guide future efforts to target deep brain stimulation of the slMFB in depression and other disorders related to dysfunction of reward and reward-associated learning.
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Affiliation(s)
- Volker Arnd Coenen
- Department of Stereotactic and Functional Neurosurgery, Medical Center, Freiburg University, Germany; Medical Faculty, Freiburg University, Germany.
| | - Lena Valerie Schumacher
- Department of Neuroradiology, Medical Center, Freiburg University, Germany; Medical Faculty, Freiburg University, Germany; Medical Psychology and Medical Sociology, Faculty of Medicine, University of Freiburg, Germany
| | - Christoph Kaller
- Department of Neurology, Medical Center, Freiburg University, Germany; Medical Faculty, Freiburg University, Germany
| | - Thomas Eduard Schlaepfer
- Department of Interventional Biological Psychiatry, Medical Center, Freiburg University, Germany; Medical Faculty, Freiburg University, Germany
| | - Peter Christoph Reinacher
- Department of Stereotactic and Functional Neurosurgery, Medical Center, Freiburg University, Germany; Medical Faculty, Freiburg University, Germany
| | - Karl Egger
- Department of Neuroradiology, Medical Center, Freiburg University, Germany; Medical Faculty, Freiburg University, Germany
| | - Horst Urbach
- Department of Neuroradiology, Medical Center, Freiburg University, Germany; Medical Faculty, Freiburg University, Germany
| | - Marco Reisert
- Department of Stereotactic and Functional Neurosurgery, Medical Center, Freiburg University, Germany; Department of Medical Physics, Medical Center, Freiburg University, Germany; Medical Faculty, Freiburg University, Germany
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White matter alterations to cingulum and fornix following very preterm birth and their relationship with cognitive functions. Neuroimage 2017; 150:373-382. [PMID: 28216430 PMCID: PMC5405171 DOI: 10.1016/j.neuroimage.2017.02.026] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 11/12/2016] [Accepted: 02/10/2017] [Indexed: 12/13/2022] Open
Abstract
Very preterm birth (VPT; <32 weeks of gestation) has been associated with impairments in memory abilities and functional neuroanatomical brain alterations in medial temporal and fronto-parietal areas. Here we investigated the relationship between structural connectivity in memory-related tracts and various aspects of memory in VPT adults (mean age 19) who sustained differing degrees of perinatal brain injury (PBI), as assessed by neonatal cerebral ultrasound. We showed that the neurodevelopmental consequences of VPT birth persist into young adulthood and are associated with neonatal cranial ultrasound classification. At a cognitive level, VPT young adults showed impairments specific to effective organization of verbal information and visuospatial memory, whereas at an anatomical level they displayed reduced volume of memory-related tracts, the cingulum and the fornix, with greater alterations in those individuals who experienced high-grade PBI. When investigating the association between these tracts and memory scores, perseveration errors were associated with the volume of the fornix and dorsal cingulum (connecting medial frontal and parietal lobes). Visuospatial memory scores were associated with the volume of the ventral cingulum (connecting medial parietal and temporal lobes). These results suggest that structural connectivity alterations could underlie memory difficulties in preterm born individuals. Very preterm born adults exhibit memory and learning impairments. White matter tracts implicated in memory are altered following perinatal brain injury. Structural alterations to memory tracts may underlie specific memory impairments.
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Qin J, Liu H, Wei M, Zhao K, Chen J, Zhu J, Shen X, Yan R, Yao Z, Lu Q. Reconfiguration of hub-level community structure in depressions: A follow-up study via diffusion tensor imaging. J Affect Disord 2017; 207:305-312. [PMID: 27741467 DOI: 10.1016/j.jad.2016.09.048] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Accepted: 09/27/2016] [Indexed: 12/15/2022]
Abstract
BACKGROUND The role of abnormal communications among large-scale brain networks have been given increasing attentions in the pathophysiology of major depressive disorder (MDD). However, few studies have investigated the effect of antidepressant medication treatment on the information communication of structural brain networks, especially converged from the individual analysis. METHODS Nineteen unipolar MDD patients completed two diffusion tensor imaging (DTI) scans before and after 8-week treatment with selective serotonin reuptake inhibitor. DTI data of 37 matched healthy controls were acquired. We focused on a hub-level community structure network, and investigated whether it had differences on the whole structure and which regions drove these differences in terms of modular affiliation and hub role shift. Data were analyzed by the novel permutation network framework, which appraised the topological consistency of hubs and reserved an individual information. RESULTS Compared to the pre-treatment state, post-treatment patients exhibited increasing number of modular members in the modules that included the right medial superior frontal gyrus (SFGmed) or the thalamus. Moreover, the result suggested a hub role shift of the left insula from a provincial-hub before treatment to a connector-hub after treatment. Additionally, reduced inter-module degree in the right SFGmed was positively correlated with the reduced sum score of 17-item Hamilton depression rating scale at the follow-up. CONCLUSIONS Antidepressant medication treatment might be associated with modular reconfigurations of hubs within the fronto-limbic circuit. Moreover, increased inter-module connections of the left insula might improve its integration ability, promoting the remission of MDD. The correlation results of the right SFGmed suggested it might be a valuable indicator for treatment response.
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Affiliation(s)
- Jiaolong Qin
- Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Centre for Learning Science, Southeast University, Si Pailou 2, Nanjing 210096, China
| | - Haiyan Liu
- Department of Psychiatry, Affiliated Nanjing Brain Hospital of Nanjing Medical University, No. 264 Guangzhou Road, Nanjing 210029, China
| | - Maobin Wei
- Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Centre for Learning Science, Southeast University, Si Pailou 2, Nanjing 210096, China
| | - Ke Zhao
- Department of Psychiatry, Affiliated Nanjing Brain Hospital of Nanjing Medical University, No. 264 Guangzhou Road, Nanjing 210029, China
| | - Jianhuai Chen
- Department of Psychiatry, Affiliated Nanjing Brain Hospital of Nanjing Medical University, No. 264 Guangzhou Road, Nanjing 210029, China
| | - Jingyu Zhu
- Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Centre for Learning Science, Southeast University, Si Pailou 2, Nanjing 210096, China
| | - Xiangyu Shen
- Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Centre for Learning Science, Southeast University, Si Pailou 2, Nanjing 210096, China
| | - Rui Yan
- Department of Psychiatry, Affiliated Nanjing Brain Hospital of Nanjing Medical University, No. 264 Guangzhou Road, Nanjing 210029, China
| | - Zhijian Yao
- Department of Psychiatry, Affiliated Nanjing Brain Hospital of Nanjing Medical University, No. 264 Guangzhou Road, Nanjing 210029, China; Nanjing Brain Hospital, Nanjing University Medical School, 22 Hankou Road, Nanjing 210093, China.
| | - Qing Lu
- Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Centre for Learning Science, Southeast University, Si Pailou 2, Nanjing 210096, China.
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Bracht T, Jones DK, Bells S, Walther S, Drakesmith M, Linden D. Myelination of the right parahippocampal cingulum is associated with physical activity in young healthy adults. Brain Struct Funct 2016; 221:4537-4548. [PMID: 26786737 PMCID: PMC5102942 DOI: 10.1007/s00429-016-1183-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2015] [Accepted: 01/05/2016] [Indexed: 11/21/2022]
Abstract
Recent evidence suggests that individual differences in physical activity (PA) may be associated with individual differences in white matter microstructure and with grey matter volume of the hippocampus. Therefore, this study investigated the association between PA and white matter microstructure of pathways connecting to the hippocampus. A total of 33 young, healthy adults underwent magnetic resonance imaging (MRI). High angular resolution diffusion-weighted imaging and multi-component relaxometry MRI scans (multi-component driven equilibrium pulse observation of T1 and T2) were acquired for each participant. Activity levels (AL) of participants were calculated from 72-h actigraphy recordings. Tractography using the damped Richardson Lucy algorithm was used to reconstruct the fornix and bilateral parahippocampal cinguli (PHC). The mean fractional anisotropy (FA) and the myelin water fraction (MWF), a putative marker of myelination, were determined for each pathway. A positive correlation between both AL and FA and between AL and MWF were hypothesized for the three pathways. There was a selective positive correlation between AL and MWF in the right PHC (r = 0.482, p = 0.007). Thus, our results provide initial in vivo evidence for an association between myelination of the right PHC and PA in young healthy adults. Our results suggest that MWF may not only be more specific, but also more sensitive than FA to detect white matter microstructural alterations. If PA was to induce structural plasticity of the right PHC this may contribute to reverse structural alterations of the right PHC in neuropsychiatric disorder with hippocampal pathologies.
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Affiliation(s)
- Tobias Bracht
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Cardiff, UK.
- Translational Research Centre, University Hospital of Psychiatry, University of Bern, Bolligenstrasse 111, 3000, Bern, Switzerland.
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Cardiff, UK
| | - Sonya Bells
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Cardiff, UK
| | - Sebastian Walther
- Translational Research Centre, University Hospital of Psychiatry, University of Bern, Bolligenstrasse 111, 3000, Bern, Switzerland
| | - Mark Drakesmith
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Cardiff, UK
| | - David Linden
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatry Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK
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Harada K, Matsuo K, Nakashima M, Hobara T, Higuchi N, Higuchi F, Nakano M, Otsuki K, Shibata T, Watanuki T, Matsubara T, Fujita Y, Shimoji K, Yamagata H, Watanabe Y. Disrupted orbitomedial prefrontal limbic network in individuals with later-life depression. J Affect Disord 2016; 204:112-9. [PMID: 27344619 DOI: 10.1016/j.jad.2016.06.031] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2016] [Revised: 06/09/2016] [Accepted: 06/11/2016] [Indexed: 11/25/2022]
Abstract
BACKGROUND Depression in old age is an increasing contributor to poor health and accompanying health care costs. Although there is an abundance of literature on later-life depression (LLD), the neural correlates have not been clarified. The aim of this study was to determine whether patients with LLD show abnormal gray matter volume (GMV) and white matter integrity by using multiple image analysis methods. METHODS The study included 45 patients with LLD and 61 healthy participants who were matched for age, sex, years of education, and vascular risk factors. GMV was examined using voxel-based morphometry, while the white matter integrity was determined by tract-based spatial statistics and tract-specific analysis, which were obtained from high-resolution magnetic resonance images. RESULTS Patients with LLD showed significantly less GMV in the orbitofrontal cortex, anterior cingulate, insula, amygdala, and temporal regions, as well as higher fractional anisotropy in the uncinate fasciculus, compared with healthy participants. Patients with LLD who had reduced orbitofrontal and insular GMV had more severe clinical variables. The reduced orbitofrontal GMV was associated with higher fractional anisotropy in the uncinate fasciculus. LIMITATION The effects of medication should also be considered when interpreting the results of this study. CONCLUSION Our results suggest that regional GMV is linked to white matter integrity of the uncinate fasciculus in the orbitomedial prefrontal limbic network, and the disruption of this network may be involved in the pathophysiology of LLD.
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Affiliation(s)
- Kenichiro Harada
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan
| | - Koji Matsuo
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan.
| | - Mami Nakashima
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan; Nagato-ichinomiya Hospital, Shimonoseki, Yamaguchi, Japan
| | - Teruyuki Hobara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan; Department of Psychiatry, Yamaguchi Grand Medical Center, Hofu, Yamaguchi, Japan
| | - Naoko Higuchi
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan
| | - Fumihiro Higuchi
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan
| | - Masayuki Nakano
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan; Katakura Hospital, Ube, Yamaguchi, Japan
| | - Koji Otsuki
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan; Konan Hospital, Matsue, Shimane, Japan
| | - Tomohiko Shibata
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan; Shinwaen Hospital, Onoda, Yamaguchi, Japan
| | - Toshio Watanuki
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan
| | - Toshio Matsubara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan; Health Administration Center, Yamaguchi University Organization for University Education, Yamaguchi, Yamaguchi, Japan
| | - Yusuke Fujita
- Department of Biomolecular Engineering Applied Molecular Bioscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan
| | - Keigo Shimoji
- Department of Radiology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan
| | - Hirotaka Yamagata
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan
| | - Yoshifumi Watanabe
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan
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Cantisani A, Stegmayer K, Bracht T, Federspiel A, Wiest R, Horn H, Müller TJ, Schneider C, Höfle O, Strik W, Walther S. Distinct resting-state perfusion patterns underlie psychomotor retardation in unipolar vs. bipolar depression. Acta Psychiatr Scand 2016; 134:329-38. [PMID: 27497085 DOI: 10.1111/acps.12625] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/12/2016] [Indexed: 01/25/2023]
Abstract
OBJECTIVE Psychomotor abnormalities characterize both unipolar (UP) depression and bipolar (BP) depression. We aimed to assess their neurobiological correlates in terms of motor activity (AL) and resting-state cerebral blood flow (rCBF) and investigate their association in BP, UP, and healthy controls (HC). METHOD We enrolled 42 depressed patients (22 BP, 20 UP) and 19 HC matched for age, gender, education, income. AL and rCBF were objectively assessed with the use of wrist actigraphy and arterial spin labeling. Group differences and the association of AL and rCBF were computed. RESULTS Activity level was significantly reduced in patients, but no difference was found between BP and UP. Increased perfusion was found in BP compared with UP and HC, in multiple brain areas. We found positive correlations of rCBF and AL in BP and UP, in different parts of the insula and frontal regions. Only BP showed a cluster in the left precentral gyrus. In HC, only inverse correlations of AL and rCBF were found. CONCLUSION The differences in rCBF and in the localization of the clusters of positive AL/rCBF correlations between BP and UP suggest that different neural impairments may underlie motor symptoms in the two disorders, but finally converge in phenotypically similar manifestations.
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Affiliation(s)
- A Cantisani
- Translational Research Center, University Hospital of Psychiatry, Bern, Switzerland. , .,NeuroFarBa Department, University of Florence, Florence, Italy. ,
| | - K Stegmayer
- Translational Research Center, University Hospital of Psychiatry, Bern, Switzerland
| | - T Bracht
- Translational Research Center, University Hospital of Psychiatry, Bern, Switzerland
| | - A Federspiel
- Translational Research Center, University Hospital of Psychiatry, Bern, Switzerland
| | - R Wiest
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Bern, Switzerland
| | - H Horn
- Translational Research Center, University Hospital of Psychiatry, Bern, Switzerland
| | - T J Müller
- Translational Research Center, University Hospital of Psychiatry, Bern, Switzerland
| | - C Schneider
- Translational Research Center, University Hospital of Psychiatry, Bern, Switzerland
| | - O Höfle
- Department of Neurology, University Hospital Bern, Bern, Switzerland
| | - W Strik
- Translational Research Center, University Hospital of Psychiatry, Bern, Switzerland
| | - S Walther
- Translational Research Center, University Hospital of Psychiatry, Bern, Switzerland
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Magioncalda P, Martino M, Conio B, Piaggio N, Teodorescu R, Escelsior A, Marozzi V, Rocchi G, Roccatagliata L, Northoff G, Inglese M, Amore M. Patterns of microstructural white matter abnormalities and their impact on cognitive dysfunction in the various phases of type I bipolar disorder. J Affect Disord 2016; 193:39-50. [PMID: 26766032 DOI: 10.1016/j.jad.2015.12.050] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Revised: 11/30/2015] [Accepted: 12/24/2015] [Indexed: 01/09/2023]
Abstract
BACKGROUND In recent years, diffusion tensor imaging (DTI) studies have detected subtle microstructural abnormalities of white matter (WM) in type I bipolar disorder (BD). However, WM alterations in the different phases of BD remain to be explored. The aims of this study is to investigate the WM alterations in the various phases of illness and their correlations with clinical and neurocognitive features. METHODS We investigated the DTI-derived fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD) and axial diffusivity (AD) in patients with type I BD (n=61) subdivided in manic (n=21), depressive (n=20) and euthymic phases (n=20) vs. healthy controls (n=42), using a tract-based spatial statistics (TBSS) approach. Then, we investigated whether the subgroups of patients in the various phases of illness present different patterns of WM abnormalities. Finally we studied the correlations between WM alterations and clinical-cognitive parameters. RESULTS We found a widespread alteration in WM microstructure (decrease in FA and increase in MD and RD) in BD when compared to controls. The various subgroups of BD showed different spatial patterns of WM alterations. A gradient of increasing WM abnormalities from the euthymic (low degree and localized WM alterations mainly in the midline structures) to the manic (more diffuse WM alterations affecting both midline and lateral structures) and, finally, to the depressive phase (high degree and widespread WM alterations), was found. Furthermore, the WM diffuse alterations correlated with cognitive deficits in BD, such as decreased fluency prompted by letter and decreased hits and increased omission errors at the continuous performance test. LIMITATIONS Patients under treatment. CONCLUSIONS The WM alterations in type I BD showed different spatial patterns in the various phases of illness, mainly affecting the active phases, and correlated with some cognitive deficits. This suggests a complex trait- and state-dependent pathogenesis of WM abnormalities in BD.
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Affiliation(s)
- Paola Magioncalda
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
| | - Matteo Martino
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
| | - Benedetta Conio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
| | - Niccolò Piaggio
- Department of Radiology, Section of Neuroradiology, University of Genoa, Genoa, Italy.
| | - Roxana Teodorescu
- Department of Neurology, Radiology and Neuroscience, Mount Sinai School of Medicine, New York, USA.
| | - Andrea Escelsior
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
| | - Valentina Marozzi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
| | - Giulio Rocchi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
| | - Luca Roccatagliata
- Magnetic Resonance Research Center on Nervous System Diseases, University of Genoa, Genoa, Italy.
| | - Georg Northoff
- Institute of Mental Health Research, University of Ottawa, Ottawa, Canada; Taipei Medical University, Graduate Institute of Humanities in Medicine, Taipei, Taiwan; Taipei Medical University-Shuang Ho Hospital, Brain and Consciousness Research Center, New Taipei City, Taiwan; National Chengchi University, Research Center for Mind, Brain and Learning, Taipei, Taiwan; Centre for Cognition and Brain Disorders (CCBD), Normal University Hangzhou, Hangzhou, China.
| | - Matilde Inglese
- Department of Neurology, Radiology and Neuroscience, Mount Sinai School of Medicine, New York, USA; Magnetic Resonance Research Center on Nervous System Diseases, University of Genoa, Genoa, Italy.
| | - Mario Amore
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
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Bracht T, Linden D, Keedwell P. A review of white matter microstructure alterations of pathways of the reward circuit in depression. J Affect Disord 2015; 187:45-53. [PMID: 26318270 DOI: 10.1016/j.jad.2015.06.041] [Citation(s) in RCA: 112] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2015] [Revised: 05/30/2015] [Accepted: 06/24/2015] [Indexed: 12/24/2022]
Abstract
BACKGROUND Depressed mood, anhedonia, psychomotor retardation and alterations of circadian rhythm are core features of the depressive syndrome. Its neural correlates can be located within a frontal-striatal-tegmental neural network, commonly referred to as the reward circuit. It is the aim of this article to review literature on white matter microstructure alterations of the reward system in depression. METHOD We searched for diffusion tensor imaging (DTI)-studies that have explored neural deficits within the cingulum bundle, the uncinate fasciculus and the supero-lateral medial forebrain bundle/anterior thalamic radiation - in adolescent and adult depression (acute and remitted), melancholic depression, treatment-resistant depression and those at familial risk of depression. The relevant diffusion MRI literature was identified using PUBMED. RESULTS Thirty-five studies were included. In people at familial risk for depression the main finding was reduced fractional anisotropy (FA) in the cingulum bundle. Both increases and decreases of FA have been reported in the uncinate fasciculus in adolescents. Reductions of FA in the uncinate fasciculus and the anterior thalamic radiation/supero-lateral medial forebrain bundle during acute depressive episodes in adults were most consistently reported. LIMITATIONS Non-quantitative approach. CONCLUSIONS Altered cingulum bundle microstructure in unaffected relatives may either indicate resilience or vulnerability to depression. Uncinate fasciculus and supero-lateral medial forebrain bundle microstructure may be altered during depressive episodes in adult MDD. Future studies call for a careful clinical stratification of clinically meaningful subgroups.
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Affiliation(s)
- Tobias Bracht
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom; Translational Research Center, University Hospital of Psychiatry, University of Bern, Bolligenstrasse 111, 3000 Bern 60, Switzerland.
| | - David Linden
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom; MRC Centre for Neuropsychiatry Genetics & Genomics, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Paul Keedwell
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom
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Nilsson M, Szczepankiewicz F, van Westen D, Hansson O. Extrapolation-Based References Improve Motion and Eddy-Current Correction of High B-Value DWI Data: Application in Parkinson's Disease Dementia. PLoS One 2015; 10:e0141825. [PMID: 26528541 PMCID: PMC4631453 DOI: 10.1371/journal.pone.0141825] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Accepted: 10/13/2015] [Indexed: 11/26/2022] Open
Abstract
Purpose Conventional motion and eddy-current correction, where each diffusion-weighted volume is registered to a non diffusion-weighted reference, suffers from poor accuracy for high b-value data. An alternative approach is to extrapolate reference volumes from low b-value data. We aim to compare the performance of conventional and extrapolation-based correction of diffusional kurtosis imaging (DKI) data, and to demonstrate the impact of the correction approach on group comparison studies. Methods DKI was performed in patients with Parkinson’s disease dementia (PDD), and healthy age-matched controls, using b-values of up to 2750 s/mm2. The accuracy of conventional and extrapolation-based correction methods was investigated. Parameters from DTI and DKI were compared between patients and controls in the cingulum and the anterior thalamic projection tract. Results Conventional correction resulted in systematic registration errors for high b-value data. The extrapolation-based methods did not exhibit such errors, yielding more accurate tractography and up to 50% lower standard deviation in DKI metrics. Statistically significant differences were found between patients and controls when using the extrapolation-based motion correction that were not detected when using the conventional method. Conclusion We recommend that conventional motion and eddy-current correction should be abandoned for high b-value data in favour of more accurate methods using extrapolation-based references.
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Affiliation(s)
- Markus Nilsson
- Lund University Bioimaging Center, Lund University, Lund, Sweden
- * E-mail:
| | | | - Danielle van Westen
- Department of Radiology, Lund University, Lund, Sweden
- Imaging and Physiology, Skåne University Hospital, Lund, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
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Hana A, Hana A, Dooms G, Boecher-Schwarz H, Hertel F. Visualization of the medial forebrain bundle using diffusion tensor imaging. Front Neuroanat 2015; 9:139. [PMID: 26581828 PMCID: PMC4628102 DOI: 10.3389/fnana.2015.00139] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Accepted: 10/15/2015] [Indexed: 12/31/2022] Open
Abstract
Diffusion tensor imaging is a technique that enables physicians the portrayal of white matter tracts in vivo. We used this technique in order to depict the medial forebrain bundle (MFB) in 15 consecutive patients between 2012 and 2015. Men and women of all ages were included. There were six women and nine men. The mean age was 58.6 years (39–77). Nine patients were candidates for an eventual deep brain stimulation. Eight of them suffered from Parkinson‘s disease and one had multiple sclerosis. The remaining six patients suffered from different lesions which were situated in the frontal lobe. These were 2 metastasis, 2 meningiomas, 1 cerebral bleeding, and 1 glioblastoma. We used a 3DT1-sequence for the navigation. Furthermore T2- and DTI- sequences were performed. The FOV was 200 × 200 mm2, slice thickness 2 mm, and an acquisition matrix of 96 × 96 yielding nearly isotropic voxels of 2 × 2 × 2 mm. 3-Tesla-MRI was carried out strictly axial using 32 gradient directions and one b0-image. We used Echo-Planar-Imaging (EPI) and ASSET parallel imaging with an acceleration factor of 2. b-value was 800 s/mm2. The maximal angle was 50°. Additional scanning time was < 9 min. We were able to visualize the MFB in 12 of our patients bilaterally and in the remaining three patients we depicted the MFB on one side. It was the contralateral side of the lesion. These were 2 meningiomas and one metastasis. Portrayal of the MFB is possible for everyday routine for neurosurgical interventions. As part of the reward circuitry it might be of substantial importance for neurosurgeons during deep brain stimulation in patients with psychiatric disorders. Surgery in this part of the brain should always take the preservation of this white matter tract into account.
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Affiliation(s)
- Ardian Hana
- National Service of Neurosurgery, Centre Hospitalier de Luxembourg Luxembourg City, Luxembourg
| | - Anisa Hana
- Internal Medicine, Erasmus University of Rotterdam Rotterdam, Netherlands
| | - Georges Dooms
- Service of Neuroradiology, Centre Hospitalier de Luxembourg Luxembourg City, Luxembourg
| | - Hans Boecher-Schwarz
- National Service of Neurosurgery, Centre Hospitalier de Luxembourg Luxembourg City, Luxembourg
| | - Frank Hertel
- National Service of Neurosurgery, Centre Hospitalier de Luxembourg Luxembourg City, Luxembourg
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Hayes DJ, Lipsman N, Chen DQ, Woodside DB, Davis KD, Lozano AM, Hodaie M. Subcallosal Cingulate Connectivity in Anorexia Nervosa Patients Differs From Healthy Controls: A Multi-tensor Tractography Study. Brain Stimul 2015; 8:758-68. [PMID: 26073966 DOI: 10.1016/j.brs.2015.03.005] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2014] [Revised: 03/18/2015] [Accepted: 03/21/2015] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Anorexia nervosa is characterized by extreme low body weight and alterations in affective processing. The subcallosal cingulate regulates affect through wide-spread white matter connections and is implicated in the pathophysiology of anorexia nervosa. OBJECTIVES We examined whether those with treatment refractory anorexia nervosa undergoing deep brain stimulation (DBS) of the subcallosal white matter (SCC) show: (1) altered anatomical SCC connectivity compared to healthy controls, (2) white matter microstructural changes, and (3) microstructural changes associated with clinically-measured affect. METHODS Diffusion magnetic resonance imaging (dMRI) and deterministic multi-tensor tractography were used to compare anatomical connectivity and microstructure in SCC-associated white matter tracts. Eight women with treatment-refractory anorexia nervosa were compared to 8 age- and sex-matched healthy controls. Anorexia nervosa patients also completed affect-related clinical assessments presurgically and 12 months post-surgery. RESULTS (1) Higher (e.g., left parieto-occipital cortices) and lower (e.g., thalamus) connectivity in those with anorexia nervosa compared to controls. (2) Decreases in fractional anisotropy, and alterations in axial and radial diffusivities, in the left fornix crus, anterior limb of the internal capsule (ALIC), right anterior cingulum and left inferior fronto-occipital fasciculus. (3) Correlations between dMRI metrics and clinical assessments, such as low pre-surgical left fornix and right ALIC fractional anisotropy being related to post-DBS improvements in quality-of-life and depressive symptoms, respectively. CONCLUSIONS We identified widely-distributed differences in SCC connectivity in anorexia nervosa patients consistent with heterogenous clinical disruptions, although these results should be considered with caution given the low number of subjects. Future studies should further explore the use of affect-related connectivity and behavioral assessments to assist with DBS target selection and treatment outcome.
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Affiliation(s)
- Dave J Hayes
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Toronto Western Research Institute, Division of Brain, Imaging and Behaviour - Systems Neuroscience, University Health Network, Toronto, Ontario M5T 2S8, Canada; Division of Neurosurgery, Department of Surgery, Toronto Western Hospital, 399 Bathurst Street, Toronto, Ontario M5T 2S8, Canada
| | - Nir Lipsman
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Toronto Western Research Institute, Division of Brain, Imaging and Behaviour - Systems Neuroscience, University Health Network, Toronto, Ontario M5T 2S8, Canada; Division of Neurosurgery, Department of Surgery, Toronto Western Hospital, 399 Bathurst Street, Toronto, Ontario M5T 2S8, Canada
| | - David Q Chen
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Toronto Western Research Institute, Division of Brain, Imaging and Behaviour - Systems Neuroscience, University Health Network, Toronto, Ontario M5T 2S8, Canada; Division of Neurosurgery, Department of Surgery, Toronto Western Hospital, 399 Bathurst Street, Toronto, Ontario M5T 2S8, Canada
| | - D Blake Woodside
- Department of Psychiatry, University of Toronto, Toronto General Hospital, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada
| | - Karen D Davis
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Toronto Western Research Institute, Division of Brain, Imaging and Behaviour - Systems Neuroscience, University Health Network, Toronto, Ontario M5T 2S8, Canada; Division of Neurosurgery, Department of Surgery, Toronto Western Hospital, 399 Bathurst Street, Toronto, Ontario M5T 2S8, Canada
| | - Andres M Lozano
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Toronto Western Research Institute, Division of Brain, Imaging and Behaviour - Systems Neuroscience, University Health Network, Toronto, Ontario M5T 2S8, Canada; Division of Neurosurgery, Department of Surgery, Toronto Western Hospital, 399 Bathurst Street, Toronto, Ontario M5T 2S8, Canada
| | - Mojgan Hodaie
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Toronto Western Research Institute, Division of Brain, Imaging and Behaviour - Systems Neuroscience, University Health Network, Toronto, Ontario M5T 2S8, Canada; Division of Neurosurgery, Department of Surgery, Toronto Western Hospital, 399 Bathurst Street, Toronto, Ontario M5T 2S8, Canada.
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