1
|
Alkan E, Kumari V, Evans SL. Frontal brain volume correlates of impaired executive function in schizophrenia. J Psychiatr Res 2024; 178:397-404. [PMID: 39216276 DOI: 10.1016/j.jpsychires.2024.08.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 08/05/2024] [Accepted: 08/13/2024] [Indexed: 09/04/2024]
Abstract
Cognitive impairments affect functional capacity in individuals with schizophrenia (SZH), but their neural basis remains unclear. The Wisconsin Card Sorting Test (WCST), and the Stroop Task (SCWT), are paradigmatic tests which have been used extensively for examining executive function in SZH. However, few studies have explored how deficits on these tasks link to brain volume differences commonly seen in SZH. Here, for the first time, we tested associations between FreeSurfer-derived frontal brain volumes and performance on both WCST and SCWT, in a well-matched sample of 57 SZH and 32 control subjects. We also explored whether these associations were dissociable from links to symptom severity in SZH. Results revealed correlations between volumes and task performance which were unique to SZH. In SZH only, volumes of right middle frontal regions correlated with both WCST and Stroop performance: correlation coefficients were significantly different to those present in the control group, highlighting their specificity to the patient group. In the Stroop task, superior frontal regions also showed associations with Stroop interference scores which were unique to SZH. These findings provide important detail around how deficits on these two paradigmatic executive function tasks link to brain structural differences in SZH. Results align with converging evidence suggesting that neuropathology within right middle frontal regions (BA9 and BA46) might be of particular import in SZH. No volumetric associations with symptom severity were found, supporting the notion that the structural abnormalities underpinning cognitive deficits in SZH differ from those associated with symptomatology.
Collapse
Affiliation(s)
- Erkan Alkan
- Faculty of Health, Science, Social Care and Education, Kingston University, London, United Kingdom
| | - Veena Kumari
- Division of Psychology, Department of Life Sciences, College of Health, Medicine and Life Sciences, Brunel University of London, London, United Kingdom
| | - Simon L Evans
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, United Kingdom.
| |
Collapse
|
2
|
Liu Y, Huang H, Qin X, Zheng F, Wang H. Altered functional connectivity in anterior cingulate cortex subregions in treatment-resistant schizophrenia patients. Neurosci Lett 2023; 814:137445. [PMID: 37597741 DOI: 10.1016/j.neulet.2023.137445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 06/02/2023] [Accepted: 08/15/2023] [Indexed: 08/21/2023]
Abstract
BACKGROUND The anterior cingulate cortex (ACC) plays a key role in motor control, attention, and cognitive control. It is well established that schizophrenia is associated with impaired functional connectivity (FC) of the ACC pathway. So far, however, there has been little discussion about the ACC subregions function in patients with treatment-resistant schizophrenia (TRS). AIM This study aims to characterize resting-state functional connectivity (rs-FC) profiles of ACC subregions in patients with TRS. The association between these FC and clinical symptoms, neurocognitive function, and grey matter volume (GMV) was studied as well. METHODS A total of 81 patients with schizophrenia (40 patients with TRS = 40, 41 patients with non-treatment-resistant schizophrenia (NTRS)) and 39 age- and gender-matched healthy controls (HC) were enrolled, and underwent structural magnetic resonance imaging (MRI), resting-state functional MRI (rs-fMRI), clinical evaluation. The ACC subregions, including subgenual ACC (sgACC), pregenual ACC (pgACC), and dorsal ACC (dACC), were selected as seed regions from the automated anatomical labelling atlas 3 (AAL3). The GMV of the ACC subregions were calculated and seed-based FC maps for all ACC subregions were generated and compared between the TRS and NTRS, HC group. Additionally, correlations between altered FC and clinical symptoms, GMV, and neurocognitive functions in the TRS patients were explored. RESULT Compared with HC, increased FC was observed in TRS and NTRS groups between bilateral sgACC and left cuneus, right cuneus, and left lingual gyrus, while decreased FC was found between bilateral dACC and thalamic. Additionally, compared with NTRS, the TRS group showed increased FC between bilateral dACC and right cuneus and decreased FC between bilateral dACC and thalamic. The TRS group showed decreased GMV in all ACC subregions than the HC group, and there is no significant difference between the TRS group and the NTRS group. CONCLUSION The findings in this study suggest that disrupted FC of subregional ACC has the potential as a marker for TRS. The dysconnectivity of bilateral dACC- right cuneus and bilateral dACC-thalamus, are likely to be the unique FC profiles of TRS. These findings further our understanding of the neurobiological impairments in TRS.
Collapse
Affiliation(s)
- Ying Liu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Huan Huang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Xucong Qin
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Fanfan Zheng
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Huiling Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China; Hubei Provincial Key Laboratory of Developmentally Originated Disease, Wuhan 430071, China.
| |
Collapse
|
3
|
Levman J, Jennings M, Rouse E, Berger D, Kabaria P, Nangaku M, Gondra I, Takahashi E. A morphological study of schizophrenia with magnetic resonance imaging, advanced analytics, and machine learning. Front Neurosci 2022; 16:926426. [PMID: 36046472 PMCID: PMC9420897 DOI: 10.3389/fnins.2022.926426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 07/05/2022] [Indexed: 11/16/2022] Open
Abstract
We have performed a morphological analysis of patients with schizophrenia and compared them with healthy controls. Our analysis includes the use of publicly available automated extraction tools to assess regional cortical thickness (inclusive of within region cortical thickness variability) from structural magnetic resonance imaging (MRI), to characterize group-wise abnormalities associated with schizophrenia based on a publicly available dataset. We have also performed a correlation analysis between the automatically extracted biomarkers and a variety of patient clinical variables available. Finally, we also present the results of a machine learning analysis. Results demonstrate regional cortical thickness abnormalities in schizophrenia. We observed a correlation (rho = 0.474) between patients' depression and the average cortical thickness of the right medial orbitofrontal cortex. Our leading machine learning technology evaluated was the support vector machine with stepwise feature selection, yielding a sensitivity of 92% and a specificity of 74%, based on regional brain measurements, including from the insula, superior frontal, caudate, calcarine sulcus, gyrus rectus, and rostral middle frontal regions. These results imply that advanced analytic techniques combining MRI with automated biomarker extraction can be helpful in characterizing patients with schizophrenia.
Collapse
Affiliation(s)
- Jacob Levman
- Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada
- Center for Clinical Research, Nova Scotia Health Authority - Research, Innovation and Discovery, Halifax, NS, Canada
- Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Massachusetts Institute of Technology, Boston, MA, United States
| | - Maxwell Jennings
- Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada
- Department of Mathematics and Statistics, St. Francis Xavier University, Antigonish, NS, Canada
| | - Ethan Rouse
- Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada
| | - Derek Berger
- Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada
| | - Priya Kabaria
- Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Masahito Nangaku
- Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Iker Gondra
- Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada
| | - Emi Takahashi
- Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Massachusetts Institute of Technology, Boston, MA, United States
- Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
| |
Collapse
|
4
|
Alkan E, Evans SL. Clustering of cognitive subtypes in schizophrenia patients and their siblings: relationship with regional brain volumes. NPJ SCHIZOPHRENIA 2022; 8:50. [PMID: 35853888 PMCID: PMC9261107 DOI: 10.1038/s41537-022-00242-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 02/23/2022] [Indexed: 11/09/2022]
Abstract
AbstractSchizophrenia patients (SZH) often show impaired cognition and reduced brain structural volumes; these deficits are also detectable in healthy relatives of SZH. However, there is considerable heterogeneity: a sizable percentage of SZH are relatively cognitively intact; clustering strategies have proved useful for categorising into cognitive subgroups. We used a clustering strategy to investigate relationships between subgroup assignment and brain volumes, in 102 SZH (N = 102) and 32 siblings of SZH (SZH-SIB), alongside 92 controls (CON) and 48 of their siblings. SZH had poorer performance in all cognitive domains, and smaller brain volumes within prefrontal and temporal regions compared to controls. We identified three distinct cognitive clusters (‘neuropsychologically normal’, ‘intermediate’, ‘cognitively impaired’) based on age- and gender-adjusted cognitive domain scores. The majority of SZH (60.8%) were assigned to the cognitively impaired cluster, while the majority of SZH-SIB (65.6%) were placed in the intermediate cluster. Greater right middle temporal volume distinguished the normal cluster from the more impaired clusters. Importantly, the observed brain volume differences between SZH and controls disappeared after adjustment for cluster assignment. This suggests an intimate link between cognitive performance levels and regional brain volume differences in SZH. This highlights the importance of accounting for heterogeneity in cognitive performance within SZH populations when attempting to characterise the brain structural abnormalities associated with the disease.
Collapse
|
5
|
Wei Q, Yan W, Zhang R, Yang X, Xie S. Aberrant cortical surface and cognition function in drug-naive first-episode schizophrenia. Ann Gen Psychiatry 2022; 21:4. [PMID: 35144626 PMCID: PMC8830089 DOI: 10.1186/s12991-022-00381-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 01/23/2022] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE Impaired cognitive function is a central symptom of schizophrenia and is often correlated with inferior global functional outcomes. However, the role of some neurobiological factors such as cortical structure alterations in the underlying cognitive damages in schizophrenia remains unclear. The present study attempted to explore the neurobiomarkers of cognitive function in drug-naive, first-episode schizophrenia by using structural magnetic resonance imaging (MRI). METHODS The present study was conducted in patients with drug-naive, first-episode schizophrenia (SZ) and healthy controls (HCs). MRI T1 images were pre-processed using CAT12. Surface-based morphometry (SBM) was utilised to evaluate structural parameters such as cortical thickness and sulcus depth. The positive and negative syndrome scale (PANSS) and Chinese version of the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) consensus cognitive battery (MCCB) were employed to estimate the psychotic symptoms and cognition, respectively. RESULTS A total of 117 patients with drug-naive first-episode schizophrenia (SZ) and 98 healthy controls (HCs) were included. Both the cortical thickness and sulcus depth in the frontal lobe were lower in patients with SZ than in the HCs under family-wise error correction (p < 0.05). Attention and visual learning in MCCB were positively correlated with the right lateral orbitofrontal cortical thickness in the patients with SZ (p < 0.01). CONCLUSIONS The reduced surface value of multiple cortical structures, particularly the cortical thickness and sulcus depth in the frontal lobe, could be the potential biomarkers for cognitive impairment in SZ.
Collapse
Affiliation(s)
- Qianqian Wei
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Wei Yan
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Rongrong Zhang
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Xuna Yang
- Medical Department, Suzhou Guangji Hospital, Suzhou, 215008, China.
| | - Shiping Xie
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China.
| |
Collapse
|
6
|
Li P, Zhou M, Yan W, Du J, Lu S, Xie S, Zhang R. Altered resting-state functional connectivity of the right precuneus and cognition between depressed and non-depressed schizophrenia. Psychiatry Res Neuroimaging 2021; 317:111387. [PMID: 34509807 DOI: 10.1016/j.pscychresns.2021.111387] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 08/31/2021] [Accepted: 08/31/2021] [Indexed: 01/27/2023]
Abstract
The study investigated the resting-state functional connectivity (FC) and cognitive changes in patients with depressed schizophrenia(DS) and non-depressed schizophrenia(NDS). Eighty patients with first-episode schizophrenia and 50 healthy controls (HC) were included to conduct resting-state fMRI. All participants completed MATRICS Consensus Cognitive Battery (MCCB). The right precuneus was selected as the seed in whole-brain FC analysis. Our results showed the cognitive function (All MCCB dimensions) of all schizophrenia patients were worse than HC, but no differences were found between DS and NDS. The DS had decreased FC than NDS between the right precuneus and left middle cingulate gyrus, left cerebellum, right cerebellum. The DS had increased FC than HC between the right precuneus and temporal lobe, occipital lobe, and decreased FC between the right precuneus and left cerebellum. However, the NDS had increased FC than HC between the right precuneus and left cerebellum, right cerebellum, temporal lobe, occipital lobe, left superior parietal lobule. Correlation analysis showed that FC between the right precuneus and occipital lobe was negatively correlated with visual learning in DS and with social cognition in NDS. Our results suggest DS and NDS patients have different patterns of FC, and their FC changes correlate with different domains of cognition.
Collapse
Affiliation(s)
- Pingping Li
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing 210029, China
| | - Min Zhou
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing 210029, China
| | - Wei Yan
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing 210029, China
| | - Jinglun Du
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing 210029, China
| | - Shuiping Lu
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing 210029, China
| | - Shiping Xie
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing 210029, China.
| | - Rongrong Zhang
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing 210029, China
| |
Collapse
|
7
|
Karantonis JA, Carruthers SP, Rossell SL, Pantelis C, Hughes M, Wannan C, Cropley V, Van Rheenen TE. A Systematic Review of Cognition-Brain Morphology Relationships on the Schizophrenia-Bipolar Disorder Spectrum. Schizophr Bull 2021; 47:1557-1600. [PMID: 34097043 PMCID: PMC8530395 DOI: 10.1093/schbul/sbab054] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The nature of the relationship between cognition and brain morphology in schizophrenia-spectrum disorders (SSD) and bipolar disorder (BD) is uncertain. This review aimed to address this, by providing a comprehensive systematic investigation of links between several cognitive domains and brain volume, cortical thickness, and cortical surface area in SSD and BD patients across early and established illness stages. An initial search of PubMed and Scopus databases resulted in 1486 articles, of which 124 met inclusion criteria and were reviewed in detail. The majority of studies focused on SSD, while those of BD were scarce. Replicated evidence for specific regions associated with indices of cognition was minimal, however for several cognitive domains, the frontal and temporal regions were broadly implicated across both recent-onset and established SSD, and to a lesser extent BD. Collectively, the findings of this review emphasize the significance of both frontal and temporal regions for some domains of cognition in SSD, while highlighting the need for future BD-related studies on this topic.
Collapse
Affiliation(s)
- James A Karantonis
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Sean P Carruthers
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Susan L Rossell
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia
- St Vincent’s Mental Health, St Vincent’s Hospital, Melbourne, Australia
| | - Christos Pantelis
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, Australia
- Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, Australia
| | - Matthew Hughes
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Cassandra Wannan
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Vanessa Cropley
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Tamsyn E Van Rheenen
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia
| |
Collapse
|
8
|
Ramsay IS, Fryer S, Roach BJ, Boos A, Fisher M, Loewy R, Ford JM, Vinogradov S, Mathalon DH. Response to targeted cognitive training may be neuroprotective in patients with early schizophrenia. Psychiatry Res Neuroimaging 2021; 312:111285. [PMID: 33865147 PMCID: PMC8137670 DOI: 10.1016/j.pscychresns.2021.111285] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 02/18/2021] [Accepted: 04/06/2021] [Indexed: 01/07/2023]
Abstract
Individuals with schizophrenia exhibit widespread cortical thinning associated with illness severity and deficits in cognition. However, intact cortical thickness (CTh) may serve as a protective factor. The current study sought to examine changes in CTh in response to auditory targeted cognitive training (TCT) in individuals with recent onset schizophrenia. Participants underwent MRI scanning and a cognitive assessment before and after being randomly assigned to 40 h of either TCT (N = 21) or a computer games control condition (CG; N = 22) over 16 weeks. Groups did not differ at baseline on demographic variables or measures of CTh. At the level of group averages, neither group showed significant pre-post changes in CTh in any brain region. However, changes in CTh related to individual differences in treatment outcome, as improved global cognition in the TCT group corresponded to reduced cortical thinning in frontal, temporal, parietal, and occipital lobes. These relationships were not observed in the CG group. The current findings suggest that TCT may be neuroprotective in early schizophrenia, such that individuals who improved in response to training also showed a reduction in cortical thinning that may be otherwise hastened due to age and illness.
Collapse
Affiliation(s)
- Ian S Ramsay
- University of Minnesota, Department of Psychiatry and Behavioral Sciences, USA.
| | - Susanna Fryer
- University of California, San Francisco, Department of Psychiatry and Behavioral Science, USA; San Francisco Veterans Affairs Medical Center, USA
| | - Brian J Roach
- University of California, San Francisco, Department of Psychiatry and Behavioral Science, USA; San Francisco Veterans Affairs Medical Center, USA
| | - Alison Boos
- University of California, San Francisco, Department of Psychiatry and Behavioral Science, USA; San Francisco Veterans Affairs Medical Center, USA
| | - Melissa Fisher
- University of Minnesota, Department of Psychiatry and Behavioral Sciences, USA
| | - Rachel Loewy
- University of California, San Francisco, Department of Psychiatry and Behavioral Science, USA; San Francisco Veterans Affairs Medical Center, USA
| | - Judith M Ford
- University of California, San Francisco, Department of Psychiatry and Behavioral Science, USA; San Francisco Veterans Affairs Medical Center, USA
| | - Sophia Vinogradov
- University of Minnesota, Department of Psychiatry and Behavioral Sciences, USA
| | - Daniel H Mathalon
- University of California, San Francisco, Department of Psychiatry and Behavioral Science, USA; San Francisco Veterans Affairs Medical Center, USA
| |
Collapse
|
9
|
Increased peripheral inflammation in schizophrenia is associated with worse cognitive performance and related cortical thickness reductions. Eur Arch Psychiatry Clin Neurosci 2021; 271:595-607. [PMID: 33760971 DOI: 10.1007/s00406-021-01237-z] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 02/03/2021] [Indexed: 12/16/2022]
Abstract
While the biological substrates of brain and behavioural changes in persons with schizophrenia remain unclear, increasing evidence implicates that inflammation is involved. In schizophrenia, including first-episode psychosis and anti-psychotic naïve patients, there are numerous reports of increased peripheral inflammation, cognitive deficits and neuropathologies such as cortical thinning. Research defining the relationship between inflammation and schizophrenia symptomatology and neuropathology is needed. Therefore, we analysed the level of C-reactive protein (CRP), a peripheral inflammation marker, and its relationship with cognitive functioning in a cohort of 644 controls and 499 schizophrenia patients. In a subset of individuals who underwent MRI scanning (99 controls and 194 schizophrenia cases), we tested if serum CRP was associated with cortical thickness. CRP was significantly increased in schizophrenia patients compared to controls, co-varying for age, sex, overweight/obesity and diabetes (p < 0.006E-10). In schizophrenia, increased CRP was mildly associated with worse performance in attention, controlling for age, sex and education (R =- 0.15, p = 0.001). Further, increased CRP was associated with reduced cortical thickness in three regions related to attention: the caudal middle frontal, the pars opercularis and the posterior cingulate cortices, which remained significant after controlling for multiple comparisons (all p < 0.05). Together, these findings indicate that increased peripheral inflammation is associated with deficits in cognitive function and brain structure in schizophrenia, especially reduced attention and reduced cortical thickness in associated brain regions. Using CRP as a biomarker of peripheral inflammation in persons with schizophrenia may help to identify vulnerable patients and those that may benefit from adjunctive anti-inflammatory treatments.
Collapse
|
10
|
Alkan E, Davies G, Evans SL. Cognitive impairment in schizophrenia: relationships with cortical thickness in fronto-temporal regions, and dissociability from symptom severity. NPJ SCHIZOPHRENIA 2021; 7:20. [PMID: 33737508 PMCID: PMC7973472 DOI: 10.1038/s41537-021-00149-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 02/08/2021] [Indexed: 12/21/2022]
Abstract
Cognitive impairments are a core and persistent characteristic of schizophrenia with implications for daily functioning. These show only limited response to antipsychotic treatment and their neural basis is not well characterised. Previous studies point to relationships between cortical thickness and cognitive performance in fronto-temporal brain regions in schizophrenia patients (SZH). There is also evidence that these relationships might be independent of symptom severity, suggesting dissociable disease processes. We set out to explore these possibilities in a sample of 70 SZH and 72 age and gender-matched healthy controls (provided by the Center of Biomedical Research Excellence (COBRE)). Cortical thickness within fronto-temporal regions implicated by previous work was considered in relation to performance across various cognitive domains (from the MATRICS Cognitive Battery). Compared to controls, SZH had thinner cortices across most fronto-temporal regions and significantly lower performance on all cognitive domains. Robust relationships with cortical thickness were found: visual learning and attention performance correlated with bilateral superior and middle frontal thickness in SZH only. Correlations between attention performance and right transverse temporal thickness were also specific to SZH. Findings point to the importance of these regions for cognitive performance in SZH, possibly reflecting compensatory processes and/or aberrant connectivity. No links to symptom severity were observed in these regions, suggesting these relationships are dissociable from underlying psychotic symptomology. Findings enhance understanding of the brain structural underpinnings and possible aetiology of cognitive impairment in SZH.
Collapse
Affiliation(s)
- Erkan Alkan
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, UK
| | - Geoff Davies
- Brighton & Sussex Medical School/Sussex Partnership NHS Foundation Trust, Sussex, UK
| | - Simon L Evans
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, UK.
| |
Collapse
|
11
|
Haatveit B, Mørch-Johnsen L, Alnæs D, Engen MJ, Lyngstad SH, Færden A, Agartz I, Ueland T, Melle I. Divergent relationship between brain structure and cognitive functioning in patients with prominent negative symptomatology. Psychiatry Res Neuroimaging 2021; 307:111233. [PMID: 33340940 DOI: 10.1016/j.pscychresns.2020.111233] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 11/30/2020] [Accepted: 12/01/2020] [Indexed: 11/19/2022]
Abstract
Investigating commonalities in underlying pathology of cognitive dysfunction and negative symptoms in schizophrenia is important, as both are core features of the disorder and linked to brain structure abnormalities. We aimed to explore the relationship between cognition, negative symptoms and brain structure in schizophrenia. A total of 225 patients with Schizophrenia spectrum disorder and 283 healthy controls from the Norwegian Thematically Organized Psychosis (TOP) cohort were included in this study. Patients were categorized into four patient subgroups based on severity of negative symptoms: no-negative- (NNS), threshold-negative- (TNS), moderate-negative- (MNS), and prominent-negative (PNS) subgroups. MRI measures of brain volume, mean cortical thickness and surface area from pre-selected brain regions were tested for relationships with general cognitive ability and negative symptom subgroups. Positive associations were found between brain volume, thickness, surface area and cognition in the dorsolateral prefrontal cortex (DLPFC), orbitofrontal cortex (OFC), fusiform gyrus (FG) and the left anterior cingulate cortex (ACC), but with no differences between subgroups. In the PNS subgroup, cognition was conversely negatively associated with brain volume in the left ACC. These results indicate that patients with prominent negative symptoms have different associations between cognition and brain structure in the left ACC, which may point to abnormal neurodevelopment.
Collapse
Affiliation(s)
- Beathe Haatveit
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Lynn Mørch-Johnsen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatry, Ostfold Hospital Trust, Graalum, Norway
| | - Dag Alnæs
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Magnus Johan Engen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Siv Hege Lyngstad
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ann Færden
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Acute Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ingrid Agartz
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, 0319 Oslo, Norway; Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Torill Ueland
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Ingrid Melle
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| |
Collapse
|
12
|
Xu X, He B, Lin Z, Wang X, Yin J, Luo X, Luo S, Liang C, Wen X, Xiong S, Zhu D, Fu J, Lv D, Dai Z, Lin J, Li Y, Chen W, Luo Z, Wang Y, Ma G. SAP97 rs3915512 Polymorphism Affects the Neurocognition of Schizophrenic Patients: A Genetic Neuroimaging Study. Front Genet 2020; 11:572414. [PMID: 33133161 PMCID: PMC7578398 DOI: 10.3389/fgene.2020.572414] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 09/17/2020] [Indexed: 11/13/2022] Open
Abstract
Our previous study suggested that the synapse-associated protein 97 (SAP97) gene rs3915512 polymorphism may influence neurocognition in schizophrenia patients. Neuroimaging studies have shown a possible association between cognitive function and brain activity/connectivity. Considering the poor understanding of whether the disease state and SAP97 rs3915512 polymorphism have interactive effects on brain activity/connectivity, 52 first-episode schizophrenia (FES) patients and 52 healthy controls were genotyped using blood DNA samples and underwent magnetic resonance imaging scanning. A two-way ANCOVA model was performed with rs3915512 genotypes and disease state as the between-subject factors. A significant disease × SAP97 interactive effect was found for the amplitude of low-frequency fluctuation (ALFF) in the right supplementary motor area, left rolandic opercularis area (ROC-L), and bilateral middle occipital gyrus (MOG). In addition, among auditory/visual-related brain areas, a significant interactive effect was found for resting-state functional connectivity (RSFC) between the MOG-L and bilateral superior temporal gyrus (STG) in the STG-L with ROC-R, right cuneus (Cu-R), left fusiform (Fu-L), and left lingual gyrus (LG-L). Positive correlations were found between ALFF in the ROC-L and motor speed scores, between RSFC in the STG-L and LG-L and between Brief Assessment of Cognition in Schizophrenia verbal memory scores in FES. The SAP97 rs3915512 polymorphism may affect neurocognitive function in patients with schizophrenia by changing the brain activity and connectivity of auditory/visual-related brain areas.
Collapse
Affiliation(s)
- Xusan Xu
- Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.,Maternal and Children's Health Research Institute, Shunde Women and Children's Hospital, Guangdong Medical University, Foshan, China
| | - Bin He
- Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Zhixiong Lin
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Xiaoxia Wang
- Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Jingwen Yin
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Xudong Luo
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Shucun Luo
- Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Chunmei Liang
- Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Xia Wen
- Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Susu Xiong
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Dongjian Zhu
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Jiawu Fu
- Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Dong Lv
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Zhun Dai
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Juda Lin
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - You Li
- Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Wubiao Chen
- Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Zebin Luo
- Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Yajun Wang
- Clinical Research Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Guoda Ma
- Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.,Maternal and Children's Health Research Institute, Shunde Women and Children's Hospital, Guangdong Medical University, Foshan, China
| |
Collapse
|
13
|
Takahashi S, Keeser D, Rauchmann BS, Schneider-Axmann T, Keller-Varady K, Maurus I, Dechent P, Wobrock T, Hasan A, Schmitt A, Ertl-Wagner B, Malchow B, Falkai P. Effect of aerobic exercise combined with cognitive remediation on cortical thickness and prediction of social adaptation in patients with schizophrenia. Schizophr Res 2020; 216:397-407. [PMID: 31806522 DOI: 10.1016/j.schres.2019.11.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 07/29/2019] [Accepted: 11/03/2019] [Indexed: 01/09/2023]
Abstract
Aerobic exercise is a promising intervention for patients with schizophrenia, but structural neuroplastic effects on brain regions relevant to the pathophysiology of the disease remain unclear. This study aimed to elucidate longitudinal changes in cortical thickness after aerobic exercise intervention in schizophrenia patients and the relationship of these changes to clinical correlates. We investigated 21 schizophrenia patients and 23 healthy controls who performed aerobic exercise and 21 schizophrenia patients who played table soccer. The 12-week exercise intervention was combined with computer-assisted cognitive remediation training from week 6 to week 12. Magnetic resonance imaging (MRI) scans were acquired at baseline and weeks 6, 12, and 24. The thickness of the entorhinal, parahippocampal, and lateral and medial prefrontal cortices was assessed with FreeSurfer 6.0. The schizophrenia aerobic exercise group showed a significant increase of cortical thickness in the right entorhinal cortex at week 6, and we found a significant correlation between the cortical thickness of the right lateral prefrontal cortex at baseline and improvement of social adaptation at week 12. In the schizophrenia table soccer and healthy control groups, we found no significant longitudinal change in cortical thickness through the intervention and follow-up period and no correlation of cortical thickness at baseline with clinical measures. Our results suggest that aerobic exercise in schizophrenia modulates the thickness of the entorhinal cortex, a structure adjacent to the hippocampus. Greater cortical thickness of the right lateral prefrontal cortex appears to predict better clinical response to an aerobic exercise intervention in patients with schizophrenia.
Collapse
Affiliation(s)
- Shun Takahashi
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nussbaumstraße 7, 80336, Munich, Germany; Department of Neuropsychiatry, Wakayama Medical University, 811-1 Kimiidera, 6410012, Wakayama, Japan.
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nussbaumstraße 7, 80336, Munich, Germany; Department of Radiology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nussbaumstraße 7, 80336, Munich, Germany; Department of Radiology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Thomas Schneider-Axmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nussbaumstraße 7, 80336, Munich, Germany
| | - Katriona Keller-Varady
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nussbaumstraße 7, 80336, Munich, Germany
| | - Isabel Maurus
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nussbaumstraße 7, 80336, Munich, Germany
| | - Peter Dechent
- Institute for Cognitive Neurology, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany
| | - Thomas Wobrock
- Department of Psychiatry and Psychotherapy, Georg-August-University, Von-Siebold-Str. 5, 37075, Göttingen, Germany; Centre of Mental Health, County Hospitals Darmstadt-Dieburg, Krankenhausstraße 7, 64823, Groß-Umstadt, Germany
| | - Alkomiet Hasan
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nussbaumstraße 7, 80336, Munich, Germany
| | - Andrea Schmitt
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nussbaumstraße 7, 80336, Munich, Germany; Laboratory of Neuroscience (LIM27), Institute of Psychiatry, University of Sao Paulo, 05403-010, São Paulo, Brazil
| | - Birgit Ertl-Wagner
- Department of Radiology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany; Department of Medical Imaging, University of Toronto, McCaul Street 263, Toronto, M5T1W7, Ontario, Canada
| | - Berend Malchow
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nussbaumstraße 7, 80336, Munich, Germany; Department of Psychiatry and Psychotherapy, University of Jena, Philosophenweg 3, 07743, Jena, Germany
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nussbaumstraße 7, 80336, Munich, Germany
| |
Collapse
|
14
|
Spreng RN, DuPre E, Ji JL, Yang G, Diehl C, Murray JD, Pearlson GD, Anticevic A. Structural Covariance Reveals Alterations in Control and Salience Network Integrity in Chronic Schizophrenia. Cereb Cortex 2019; 29:5269-5284. [PMID: 31066899 PMCID: PMC6918933 DOI: 10.1093/cercor/bhz064] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2015] [Revised: 02/07/2019] [Accepted: 02/07/2019] [Indexed: 12/20/2022] Open
Abstract
Schizophrenia (SCZ) is recognized as a disorder of distributed brain dysconnectivity. While progress has been made delineating large-scale functional networks in SCZ, little is known about alterations in grey matter integrity of these networks. We used a multivariate approach to identify the structural covariance of the salience, default, motor, visual, fronto-parietal control, and dorsal attention networks. We derived individual scores reflecting covariance in each structural image for a given network. Seed-based multivariate analyses were conducted on structural images in a discovery (n = 90) and replication (n = 74) sample of SCZ patients and healthy controls. We first validated patterns across all networks, consistent with well-established functional connectivity reports. Next, across two SCZ samples, we found reliable and robust reductions in structural integrity of the fronto-parietal control and salience networks, but not default, dorsal attention, motor and sensory networks. Well-powered exploratory analyses failed to identify relationships with symptoms. These findings provide evidence of selective structural decline in associative networks in SCZ. Such decline may be linked with recently identified functional disturbances in associative networks, providing more sensitive multi-modal network-level probes in SCZ. Absence of symptom effects suggests that identified disturbances may underlie a trait-type marker in SCZ.
Collapse
Affiliation(s)
- R Nathan Spreng
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
- Departments of Psychiatry and Psychology, McGill University, Montreal, QC, Canada
| | - Elizabeth DuPre
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Jie Lisa Ji
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA
| | - Genevieve Yang
- Department of Psychiatry, Mount Sinai School of Medicine, New York, NY
| | - Caroline Diehl
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA
| | - John D Murray
- Center for Neural Science, New York University, New York, NY, USA
| | - Godfrey D Pearlson
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychology, Yale University, CT, USA
- Center for Neural Science, New York University, New York, NY, USA
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA
- Department of Psychology, Yale University, CT, USA
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, CT, USA
| |
Collapse
|
15
|
Liu W, Gan J, Fan J, Zheng H, Li S, Chan RCK, Tan C, Zhu X. Associations of cortical thickness, surface area and subcortical volumes with insight in drug-naïve adults with obsessive-compulsive disorder. NEUROIMAGE-CLINICAL 2019; 24:102037. [PMID: 31704545 PMCID: PMC6978222 DOI: 10.1016/j.nicl.2019.102037] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 09/30/2019] [Accepted: 10/15/2019] [Indexed: 12/27/2022]
Abstract
• We first used the SBM method to explore the neuroanatomical basis underlying insight in OCD. • OCD-GI and OCD-PI displayed mostly shared, but partly distinct brain structural alterations. • Decreased cortical thickness in the left dmPFC, the left ACC and the right lateral parietal cortex was associated with poorer insight. • The potential effect of other clinical variables on the results has been ruled out.
Poor insight in obsessive-compulsive disorder (OCD) is associated with several adverse clinical outcomes. However, the neurobiological basis of this insight deficit is not clearly understood. The present study thus aimed to investigate associations of cortical thickness, cortical surface area and subcortical volumes with insight in a sample of drug-naïve adults with OCD. Forty-seven OCD patients and 42 healthy controls (HCs) underwent MRI scanning, depression and anxiety assessments. The Brown Assessment of Beliefs Scale (BABS) measured insight levels and patients were divided into two groups: poor insight (OCD-PI; n = 21), and good insight (OCD-GI; n = 26). Cortical thickness and surface area between groups were compared with whole-brain exploratory vertex-by-vertex analyses, while subcortical volumes were compared on a structure-by-structure basis. Partial correlation analyses were then performed to assess associations between regional cortical and subcortical measures and insight levels. OCD-GI and OCD-PI groups displayed partly shared, but also partly distinct brain structural alterations. Strikingly, OCD-PI showed decreased cortical thickness in the left superior frontal gyrus, left anterior cingulate cortex (ACC) and right inferior parietal gyrus, compared to both OCD-GI and HCs. Average cortical thickness extracted from these areas was further negatively correlated with BABS scores in the OCD-PI patients. Our findings suggest that poor insight in patients with OCD may have a neural substrate involving the left medial frontal and the right inferior parietal cortices.
Collapse
Affiliation(s)
- Wanting Liu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Medical Psychological Institute of Central South University, Changsha, Hunan, China
| | - Jun Gan
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jie Fan
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hong Zheng
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Sihui Li
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Changlian Tan
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
| | - Xiongzhao Zhu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Medical Psychological Institute of Central South University, Changsha, Hunan, China.
| |
Collapse
|
16
|
Song L, Meng J, Liu Q, Huo T, Zhu X, Li Y, Ren Z, Wang X, Qiu J. Polygenic Score of Subjective Well-Being Is Associated with the Brain Morphology in Superior Temporal Gyrus and Insula. Neuroscience 2019; 414:210-218. [PMID: 31173807 DOI: 10.1016/j.neuroscience.2019.05.055] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 05/07/2019] [Accepted: 05/27/2019] [Indexed: 01/15/2023]
Abstract
Subjective well-being (SWB) is closely related to our physical and mental health. Existing studies show that neural or genetic basis underpins individual difference in SWB. Moreover, researchers have found high enrichment of SWB-related mutations in the central nervous system, but the relationship between the genetic architecture of SWB and brain morphology has not been explored. Considering the polygenic nature of SWB, in this study, we aim to establish a measure of additive genetic effect on SWB and explore its relationship to the brain anatomical structure. Based on the results of genome-wide association study (GWAS) on SWB, the polygenic scores (PGSs) of SWB at eight different thresholds were calculated in a large Chinese sample (N = 585). Then, we analyzed the associations between the PGSs of SWB and cortical thickness (CT) or gray matter volume (GMV) measured from 3.0-T structural imaging data. In whole-brain analyses, we found that a higher PGS was significantly associated with increased CT in the right superior temporal gyrus (STG) and GMV in the right insula, both of which are involved in social cognition and emotional processing. More importantly, these findings were repeatable at some different thresholds. The results may suggest that the brain morphology of right STG and insula is partly regulated by SWB-related genetic factors.
Collapse
Affiliation(s)
- Li Song
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; School of Psychology, Southwest University (SWU), Chongqing 400715, China
| | - Jie Meng
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; School of Psychology, Southwest University (SWU), Chongqing 400715, China
| | - Qiang Liu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; School of Psychology, Southwest University (SWU), Chongqing 400715, China
| | - Tengbin Huo
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; School of Psychology, Southwest University (SWU), Chongqing 400715, China
| | - Xingxing Zhu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; School of Psychology, Southwest University (SWU), Chongqing 400715, China
| | - Yiman Li
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; School of Psychology, Southwest University (SWU), Chongqing 400715, China
| | - Zhiting Ren
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; School of Psychology, Southwest University (SWU), Chongqing 400715, China
| | - Xiao Wang
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; School of Psychology, Southwest University (SWU), Chongqing 400715, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; School of Psychology, Southwest University (SWU), Chongqing 400715, China; Southwest University Branch, Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, Beijing 100875, China.
| |
Collapse
|
17
|
Ohoshi Y, Takahashi S, Yamada S, Ishida T, Tsuda K, Tsuji T, Terada M, Shinosaki K, Ukai S. Microstructural abnormalities in callosal fibers and their relationship with cognitive function in schizophrenia: A tract-specific analysis study. Brain Behav 2019; 9:e01357. [PMID: 31283112 PMCID: PMC6710197 DOI: 10.1002/brb3.1357] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 05/14/2019] [Accepted: 06/14/2019] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION The corpus callosum serves the essential role of relaying cognitive information between the homologous regions in the left and the right hemispheres of the brain. Cognitive impairment is a core dysfunction of schizophrenia, but much of its pathophysiology is unknown. The aim of this study was to elucidate the association between microstructural abnormalities of the corpus callosum and cognitive dysfunction in schizophrenia. METHODS We examined stepwise multiple regression analysis to investigate the relationship of the fractional anisotropy (FA) of callosal fibers in each segment with z-scores of each brief assessment of cognition in schizophrenia subtest and cognitive composite score in all subjects (19 patients with schizophrenia [SZ group] and 19 healthy controls [HC group]). Callosal fibers were separated into seven segments based on their cortical projection using tract-specific analysis of diffusion tensor imaging. RESULTS The FA of callosal fibers in the temporal segment was significantly associated with z-scores of token motor test, Tower of London test, and the composite score. In the SZ group, the FA of callosal fibers in the temporal segment was significantly associated with the z-score of the Tower of London test. In addition, the FA of callosal fibers in temporal segment showed significant negative association with the positive and negative syndrome scale negative score in the SZ group. Compared to the HC group, the FA in temporal segment was significantly decreased in the SZ group. CONCLUSION Our results suggest that microstructural abnormalities in the callosal white matter fibers connecting bilateral temporal lobe cortices contribute to poor executive function and severe negative symptom in patients with schizophrenia.
Collapse
Affiliation(s)
- Yuji Ohoshi
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Shun Takahashi
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Shinichi Yamada
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Takuya Ishida
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Kumi Tsuda
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Tomikimi Tsuji
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | | | - Kazuhiro Shinosaki
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan.,Asakayama General Hospital, Osaka, Japan
| | - Satoshi Ukai
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| |
Collapse
|
18
|
Di Sero A, Jørgensen KN, Nerland S, Melle I, Andreassen OA, Jovicich J, Agartz I. Antipsychotic treatment and basal ganglia volumes: Exploring the role of receptor occupancy, dosage and remission status. Schizophr Res 2019; 208:114-123. [PMID: 31006616 DOI: 10.1016/j.schres.2019.04.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 03/27/2019] [Accepted: 04/02/2019] [Indexed: 12/13/2022]
Abstract
Antipsychotic treatment may affect brain morphology, and enlargement of the basal ganglia (BG) is a replicated finding. Here we investigated associations between antipsychotic treatment and BG volumes in patients with psychotic and bipolar disorders. We hypothesized that current treatment and, among those medicated, higher dosage, estimated D2R occupancy and being in remission would predict larger BG volumes. Structural covariance analysis was performed to examine if correlations between BG volumes and cortical thickness differed by treatment status. 224 patients treated with antipsychotics; 26 previously treated, 29 never treated and 301 healthy controls (HC) were included from the TOP study cohort (NORMENT, Norway). T1-weighted MR images were processed using FreeSurfer. D2R occupancy was estimated based on serum concentration measurements for patients receiving stable monotherapy. Statistical analyses were adjusted for age, gender and estimated intracranial volume (ICV). We found larger right (p < 0.003) and left putamen (p < 0.02) and right globus pallidus (GP) (p < 0.03) in currently medicated patients compared to HC. Bilateral regional cortical thinning was also observed in currently and previously medicated patients compared to HC. In medicated patients, higher chlorpromazine equivalent dose (CPZ) was associated with larger left GP (p < 0.04). There was no association with estimated D2R occupancy (n = 47) or remission status. Lower positive correlation between left putamen volume and cortical thickness of the left lateral occipital cortex was found in medicated patients compared to HC. We replicated the BG enlargement in medicated patients, but found no association with estimated D2R occupancy. Further studies are needed to clarify the underlying mechanisms.
Collapse
Affiliation(s)
- Alessia Di Sero
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway; Center for Mind and Brain Sciences, University of Trento, Trento, Italy; Norwegian Centre for Research on Mental Disorders, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Norway
| | - Kjetil N Jørgensen
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway; Norwegian Centre for Research on Mental Disorders, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Norway.
| | - Stener Nerland
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway; Norwegian Centre for Research on Mental Disorders, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Norway
| | - Ingrid Melle
- Norwegian Centre for Research on Mental Disorders, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Norway; Norwegian Centre for Research on Mental Disorders, K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Centre for Research on Mental Disorders, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Norway; Norwegian Centre for Research on Mental Disorders, K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Jorge Jovicich
- Center for Mind and Brain Sciences, University of Trento, Trento, Italy
| | - Ingrid Agartz
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway; Norwegian Centre for Research on Mental Disorders, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Norway; Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
19
|
Vonk JMJ, Rizvi B, Lao PJ, Budge M, Manly JJ, Mayeux R, Brickman AM. Letter and Category Fluency Performance Correlates with Distinct Patterns of Cortical Thickness in Older Adults. Cereb Cortex 2019; 29:2694-2700. [PMID: 29893804 PMCID: PMC6519688 DOI: 10.1093/cercor/bhy138] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 04/09/2018] [Accepted: 05/17/2018] [Indexed: 12/12/2022] Open
Abstract
Verbal fluency tasks are generally thought to be mediated by frontal brain regions for letter fluency and temporal regions for category fluency. This idea, however, is primarily based on lesion studies and adapted versions of the fluency tasks in functional neuroimaging, without fundamental evidence from structural neuroimaging in healthy individuals. We investigated the cortical structural correlates of letter and category fluency, including overlapping and different regions, in 505 individuals who participated in a community-based study of healthy aging. The correlation between cortical thickness and verbal fluency in whole-brain analyses revealed distinct cortical signatures for letter fluency, primarily in frontal regions, and category fluency, in frontal and temporal-parietal regions. There was a dissociation in the left inferior frontal gyrus between letter and category fluency, with increased thickness in the posterior-dorsal versus anterior-ventral parts, respectively. These results distinguish the detailed anatomical correlates for verbal fluency within the coarse frontal-temporal distinction inferred from lesion studies and among the mixture of regions identified in functional neuroimaging. The evidence for the anatomical substrates of letter and category fluency, each recruiting slightly different language and cognitive processes, can serve both clinical applications as well as a deeper theoretical understanding of the organization of the cerebral cortex.
Collapse
Affiliation(s)
- Jet M J Vonk
- Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Batool Rizvi
- Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Patrick J Lao
- Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Mariana Budge
- Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Jennifer J Manly
- Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Richard Mayeux
- Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Adam M Brickman
- Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| |
Collapse
|
20
|
Hanford LC, Pinnock F, Hall GB, Heinrichs RW. Cortical thickness correlates of cognitive performance in cognitively-matched individuals with and without schizophrenia. Brain Cogn 2019; 132:129-137. [PMID: 31005042 DOI: 10.1016/j.bandc.2019.04.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2018] [Revised: 03/03/2019] [Accepted: 04/07/2019] [Indexed: 12/29/2022]
Abstract
Schizophrenia is characterized by psychosis and, in most cases, cognitive impairment. It is unclear, however, whether these elements of the disorder represent distinct or related disease processes. Accordingly, this study investigated 3-way interactions between group, cognition and cortical thickness in cognitively-matched patients with schizophrenia and healthy control groups. Patients and healthy controls were group-matched on demographics and a broadly-based index of cognitive performance. T1-weighted images were processed using Freesurfer. Variable selection techniques were applied to determine which regions best predicted 3-way interaction effects. Independent variables included age, sex, IQ, and 87 regional cortical thickness values strongly associated with group or cognition. Antipsychotic treatment effects were also investigated. Twenty regions were selected by the best fitting model. The top 6 regions included the left pre- and post-central, left superior frontal and temporal and right rostral and caudal middle frontal cortices. No antipsychotic treatment effects were seen. Cortical thinning in schizophrenia exists even in the absence of cognitive impairment. Our findings support the separation of psychosis and cognitive impairment as independent disease processes, with distinct relations with cortical thickness in prefrontal cortical areas. Parsing out these two disease processes will increase understanding of heterogeneity in schizophrenia and may modify treatment targets.
Collapse
Affiliation(s)
- Lindsay C Hanford
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Farena Pinnock
- Department of Psychology, York University, Toronto, ONT, Canada
| | - Geoffrey B Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ONT, Canada
| | | |
Collapse
|
21
|
Mitko A, Rothlein D, Poole V, Robinson M, McGlinchey R, DeGutis J, Salat D, Esterman M. Individual differences in sustained attention are associated with cortical thickness. Hum Brain Mapp 2019; 40:3243-3253. [PMID: 30980462 DOI: 10.1002/hbm.24594] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 03/23/2019] [Accepted: 03/25/2019] [Indexed: 01/10/2023] Open
Abstract
Several studies have examined how individual differences in sustained attention relate to functional brain measures (e.g., functional connectivity), but far fewer studies relate sustained attention ability, or cognition in general, to individual differences in cortical structure. Functional magnetic resonance imaging meta-analyses and patient work have highlighted that frontoparietal regions, lateralized to the right hemisphere, are critical for sustained attention, though recent work implicates a broader expanse of brain regions. The current study sought to determine if and where variation in cortical thickness is significantly associated with sustained attention performance. Sustained attention was measured using the gradual onset continuous performance task and the Test of Variables of Attention in 125 adult Veteran participants after acquiring two high-resolution structural MRI scans. Whole-brain vertex-wise analyses of the cortex demonstrated that better sustained attention was associated with increased thickness in visual, somatomotor, frontal, and parietal cortices, especially in the right hemisphere. Network-based analyses revealed relationships between sustained attention and cortical thickness in the dorsal attention, ventral attention, somatomotor, and visual networks. These results indicate cortical thickness in multiple regions and networks is associated with sustained attention, and add to the growing knowledge of how structural MRI can help explain individual differences in cognition.
Collapse
Affiliation(s)
- Alex Mitko
- Translational Research Center for TBI and Stress Disorders (TRACTS), VA RR&D TBI National Research Center, VA Boston Healthcare System, Boston, Massachusetts.,Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, Massachusetts
| | - David Rothlein
- Translational Research Center for TBI and Stress Disorders (TRACTS), VA RR&D TBI National Research Center, VA Boston Healthcare System, Boston, Massachusetts.,Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, Massachusetts
| | - Victoria Poole
- Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, Massachusetts.,Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts.,Beth Israel Deaconess Medical Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Meghan Robinson
- Translational Research Center for TBI and Stress Disorders (TRACTS), VA RR&D TBI National Research Center, VA Boston Healthcare System, Boston, Massachusetts.,Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, Massachusetts.,Geriatric Research Education and Clinical Center (GRECC), Boston Division VA Healthcare System, Boston, Massachusetts.,Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Regina McGlinchey
- Translational Research Center for TBI and Stress Disorders (TRACTS), VA RR&D TBI National Research Center, VA Boston Healthcare System, Boston, Massachusetts.,Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, Massachusetts.,Geriatric Research Education and Clinical Center (GRECC), Boston Division VA Healthcare System, Boston, Massachusetts.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Joseph DeGutis
- Translational Research Center for TBI and Stress Disorders (TRACTS), VA RR&D TBI National Research Center, VA Boston Healthcare System, Boston, Massachusetts.,Geriatric Research Education and Clinical Center (GRECC), Boston Division VA Healthcare System, Boston, Massachusetts.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - David Salat
- Translational Research Center for TBI and Stress Disorders (TRACTS), VA RR&D TBI National Research Center, VA Boston Healthcare System, Boston, Massachusetts.,Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, Massachusetts.,Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts.,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Michael Esterman
- Translational Research Center for TBI and Stress Disorders (TRACTS), VA RR&D TBI National Research Center, VA Boston Healthcare System, Boston, Massachusetts.,Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, Massachusetts.,Geriatric Research Education and Clinical Center (GRECC), Boston Division VA Healthcare System, Boston, Massachusetts.,Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts
| |
Collapse
|
22
|
Zhang Z, Wang Y, Zhang Q, Zhao W, Chen X, Zhai J, Chen M, Du B, Deng X, Ji F, Wang C, Xiang Y, Li D, Wu H, Dong Q, Chen C, Li J. The effects of CACNA1C gene polymorphism on prefrontal cortex in both schizophrenia patients and healthy controls. Schizophr Res 2019; 204:193-200. [PMID: 30268820 DOI: 10.1016/j.schres.2018.09.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Revised: 11/28/2017] [Accepted: 09/09/2018] [Indexed: 11/28/2022]
Abstract
CACNA1C gene polymorphism rs2007044 has been reported to be associated with schizophrenia, but its underlying brain mechanism is not clear. First, we conducted an exploratory functional magnetic resonance imaging (fMRI) study using an N-BACK task and a Stroop task in 194 subjects (55 schizophrenia patients and 139 healthy controls). Our whole brain analysis found that the risk allele was associated with reduced activation of the left inferior frontal gyrus (IFG) during the Stroop task (cluster size = 390 voxels, P < 0.05 TFCE-FWE corrected; peak MNI coordinates: x = -57, y = -6, z = 30). We also conducted a functional near-infrared spectroscopy (fNIRS) study using the same Stroop task in an independent sample of 126 healthy controls to validate the fMRI finding. Our repeated-measures ANCOVA on the six channels (20, 27, 33, 34, 40 and 46) within the left IFG also found significant result. The polymorphism rs2007044 showed significant effect on the oxy-Hb data (F = 5.072, P = 0.026) and showed significant interaction effect with channels on the deoxy-Hb data (F = 2.841, P = 0.015). Taken together, results of this study suggested that rs2007044 could affect the activation of the left IFG, which was a possible brain mechanism underlying the association between CACNA1C gene polymorphism and schizophrenia.
Collapse
Affiliation(s)
- Zhifang Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China
| | - Yanyan Wang
- Department of Psychiatry, HePing Hospital of Chang Zhou, Jiangsu 213003, China
| | - Qiumei Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China
| | - Wan Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China
| | - Xiongying Chen
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China
| | - Jinguo Zhai
- School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China
| | - Min Chen
- School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China
| | - Boqi Du
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China
| | - Xiaoxiang Deng
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China
| | - Feng Ji
- School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China
| | | | - Yutao Xiang
- Beijing Anding Hospital, Beijing 100088, PR China; Faculty of Health Sciences, University of Macau, Avenida da Universidade, Taipa, Macau
| | - Dawei Li
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
| | - Hongjie Wu
- Shengli Hospital of Shengli Petroleum Administration Bureau, Dongying 257022, Shandong Province, PR China
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China
| | - Chuansheng Chen
- Department of Psychology and Social Behavior, University of California, Irvine, CA 92697, United States
| | - Jun Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China.
| |
Collapse
|
23
|
Xie T, Zhang X, Tang X, Zhang H, Yu M, Gong G, Wang X, Evans A, Zhang Z, He Y. Mapping Convergent and Divergent Cortical Thinning Patterns in Patients With Deficit and Nondeficit Schizophrenia. Schizophr Bull 2019; 45:211-221. [PMID: 29272543 PMCID: PMC6293229 DOI: 10.1093/schbul/sbx178] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Deficit schizophrenia (DS) is a homogeneous subtype of schizophrenia characterized by primary and enduring negative symptoms. However, the underlying neuroanatomical substrate of DS remains poorly understood. Here, we collected high-resolution structural magnetic resonance images of 115 participants, including 33 DS patients, 41 nondeficit schizophrenia (NDS) patients, and 41 healthy controls (HCs), and calculated the cortical thickness and surface area for statistical comparisons among the 3 groups. Relative to the control group, both the DS and NDS groups exhibited convergent cortical thinning in the bilateral inferior frontal gyri and the left superior temporal gyrus. The cortical thinning in the right inferior frontal cortex in the patient group was significantly positively correlated with declines of cognitive flexibility and visuospatial memory. Importantly, compared to the NDS group, the DS group exhibited a more widespread cortical thinning pattern, with the most significant differences in the left temporo-parietal junction area. For the surface area measurement, no significant group differences were observed. Collectively, these results highlight the convergent and divergent cortical thinning patterns between patients with DS and NDS, which provide critical insights into the neuroanatomical substrate of DS and improve our understanding of the biological mechanism that contributes to the negative symptoms and cognitive impairments in DS.
Collapse
Affiliation(s)
- Teng Xie
- National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China,IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Xiangrong Zhang
- Department of Geriatric Psychiatry, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China,Department of Neuropsychiatry, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Xiaowei Tang
- Department of Psychiatry, Wutaishan Hospital of Yangzhou, Yangzhou, China
| | - Hongying Zhang
- Department of Radiology, Subei People’s Hospital of Jiangsu Province, Yangzhou University, Yangzhou, China
| | - Miao Yu
- Department of Neuropsychiatry, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Gaolang Gong
- National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China,IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Xiang Wang
- Medical Psychological Institute of the Second Xiangya Hospital, Central South University, Changsha, China
| | - Alan Evans
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, Canada
| | - Zhijun Zhang
- Department of Neuropsychiatry, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yong He
- National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China,IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China,To whom correspondence should be addressed; National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Key Laboratory of Brain Imaging and Connectomics, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China. E-mail:
| |
Collapse
|
24
|
Kelly S, Guimond S, Lyall A, Stone WS, Shenton ME, Keshavan M, Seidman LJ. Neural correlates of cognitive deficits across developmental phases of schizophrenia. Neurobiol Dis 2018; 131:104353. [PMID: 30582983 DOI: 10.1016/j.nbd.2018.12.013] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Revised: 11/21/2018] [Accepted: 12/20/2018] [Indexed: 12/28/2022] Open
Abstract
Schizophrenia is associated with cognitive deficits across all stages of the illness (i.e., high risk, first episode, early and chronic phases). Identifying the underlying neurobiological mechanisms of these deficits is an important area of scientific inquiry. Here, we selectively review evidence regarding the pattern of deficits across the developmental trajectory of schizophrenia using the five cognitive domains identified by the Research Domain Criteria (RDoC) initiative. We also report associated findings from neuroimaging studies. We suggest that most cognitive domains are affected across the developmental trajectory, with corresponding brain structural and/or functional differences. The idea of a common mechanism driving these deficits is discussed, along with implications for cognitive treatment in schizophrenia.
Collapse
Affiliation(s)
- Sinead Kelly
- Massachusetts Mental Health Center, Public Psychiatry Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Synthia Guimond
- Massachusetts Mental Health Center, Public Psychiatry Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
| | - Amanda Lyall
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - William S Stone
- Massachusetts Mental Health Center, Public Psychiatry Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Brockton Division, Brockton, MA, USA
| | - Matcheri Keshavan
- Massachusetts Mental Health Center, Public Psychiatry Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
| | - Larry J Seidman
- Massachusetts Mental Health Center, Public Psychiatry Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
25
|
Rodrigue AL, McDowell JE, Tandon N, Keshavan MS, Tamminga CA, Pearlson GD, Sweeney JA, Gibbons RD, Clementz BA. Multivariate Relationships Between Cognition and Brain Anatomy Across the Psychosis Spectrum. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2018; 3:992-1002. [PMID: 29759822 PMCID: PMC6167203 DOI: 10.1016/j.bpsc.2018.03.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 03/08/2018] [Accepted: 03/09/2018] [Indexed: 12/21/2022]
Abstract
BACKGROUND Cognitive and structural brain abnormalities range from mild to severe in psychosis. The relationships of specific cognitive functions to specific brain structures across the psychosis spectrum is less certain. METHODS Participants (n = 678) with bipolar, schizoaffective, or schizophrenia psychoses and healthy control subjects were recruited via the Bipolar-Schizophrenia Network for Intermediate Phenotypes. The Schizo-Bipolar Scale was used to create a psychosis continuum (from purely affective to purely nonaffective). Canonical correlation between 14 cognitive measures and structural brain measures (gray matter volume, cortical thickness, cortical surface area, and local gyrification indices) for 68 neocortical regions yielded constructs that defined shared cognition-brain structure relationships. Canonical discriminant analysis was used to integrate these constructs and efficiently summarize cognition-brain structure relationships across the psychosis continuum. RESULTS General cognition was associated with larger gray matter volumes and thicker cortices but smaller cortical surface area in frontoparietal regions. Working memory was associated with larger volume and surface area in frontotemporal regions. Faster response speed was associated with thicker frontal cortices. Constructs that captured general cognitive ability and working memory and their relationship to cortical volumes primarily defined an ordered psychosis spectrum (purely affective, least abnormal through purely nonaffective, and most abnormal). A construct that captured general cognitive ability and its relationship to cortical surface area differentiated purely affective cases from other groups. CONCLUSIONS General cognition and working memory with cortical volume deviations characterized more nonaffective psychoses. Alternatively, affective psychosis cases with general cognitive deficits had deviations in cortical surface area, perhaps accounting for heterogeneous findings across previous studies.
Collapse
Affiliation(s)
- Amanda L Rodrigue
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Jennifer E McDowell
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Neeraj Tandon
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Godfrey D Pearlson
- Departments of Psychiatry and Neuroscience, Yale University School of Medicine, New Haven, Connecticut; Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, Connecticut
| | - John A Sweeney
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio
| | - Robert D Gibbons
- Department of Medicine and Public Health Sciences, University of Chicago, Chicago, Illinois
| | - Brett A Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia.
| |
Collapse
|
26
|
Fernandez VG, Asarnow R, Narr KL, Subotnik KL, Kuppinger H, Fogelson D, Nuechterlein KH. Temporal lobe thickness and verbal memory in first-degree relatives of individuals with schizophrenia. Schizophr Res 2018; 199:221-225. [PMID: 29499968 PMCID: PMC6110998 DOI: 10.1016/j.schres.2018.02.038] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Revised: 02/20/2018] [Accepted: 02/21/2018] [Indexed: 01/17/2023]
Abstract
Cortical thinning in frontal and temporal regions has been reported in individuals diagnosed with schizophrenia and, less consistently, among their unaffected first-degree relatives. Likewise, first-degree relatives demonstrate attenuated differences in neurocognitive performance relative to healthy controls, indicating that neurocognitive performance may be an important endophenotype of the disorder. Less is known about how cortical thickness relates to neurocognitive performance in these individuals. Given the robust nature of temporal structural abnormalities in schizophrenia, this study aimed to identify how temporal lobe cortical thickness might relate to verbal memory in first-degree relatives. Unaffected parents and siblings of individuals with adult-onset schizophrenia (N=62) and individuals in healthy control families (N=70) participating in the UCLA Family Study received a structural MRI and completed a battery of neurocognitive tests. Cortical thickness was estimated across the cortex and thickness measures of all regions in the temporal lobe were summed, averaged, and residualized for age and sex to produce a variable. A verbal learning factor was derived from two common tests of verbal learning and memory, the CVLT-II and Logical Memory of the WMS-III. Results demonstrated a significant interaction between group and verbal learning in relationship to temporal lobe thickness. Post-hoc analyses revealed significant correlations between verbal learning and cortical thickness in the relatives of schizophrenia patients which were driven by immediate recall scores on the CVLT-II and Logical Memory. These findings indicate that cortical thickness in the temporal cortex may represent a structural correlate for encoding verbal information in unaffected relatives of individuals with schizophrenia.
Collapse
Affiliation(s)
- Vindia G. Fernandez
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA,Department of Psychology, UCLA, Los Angeles, CA
| | - Robert Asarnow
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
| | - Katherine L. Narr
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA,Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, UCLA, Los Angeles, CA
| | - Kenneth L. Subotnik
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Heidi Kuppinger
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
| | - David Fogelson
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA,Department of Psychology, UCLA, Los Angeles, CA
| |
Collapse
|
27
|
Abstract
OBJECTIVE Converging evidence has suggested ankyrin 3 (ANK3) as a risk gene for bipolar disorder (BD). However, association studies investigating its genetic variants and BD susceptibility have reported inconsistent results. In the present meta-analysis, we aimed to establish whether ANK3 single nucleotide polymorphisms (SNPs) confer increased risk for BD. METHODS PubMed, Medline, PsycINFO, Embase, and Scopus were searched for literature published up to January 2017. Fourteen case-control studies met our eligibility criteria. We targeted ANK3 SNPs that have been reported by three or more studies to be included in the current meta-analysis, resulting in a final list of four SNPs: rs10994336, rs9804190, rs10994397, and rs1938526. Odds ratios (ORs) for the allele model were calculated using a random effect model as a measure of association. Additional experimental characteristics and between-study heterogeneity were explored using sensitivity test, subgroup analysis, and meta-regression techniques. Publication bias was also assessed using Egger's test and rank correlation test. RESULTS Overall, a significant association was found between BD and rs10994336 (OR=1.18; 95% confidence interval: 1.06-1.31; P=0.0027) as well as rs1938526 (OR=1.16; 95% confidence interval: 1.06-1.28; P=0.0016). Subsequent sensitivity analysis and publication bias test reaffirmed the stability and consistency of these results. CONCLUSION The current meta-analysis provides corroborating evidence suggesting two ANK3 SNPs are associated with an increased susceptibility for developing BD. However, broader coverage is needed on less explored SNPs to further elucidate the genetic effect of other ANK3 variants that may harbor potential BD risk.
Collapse
|
28
|
Kenney JPM, McPhilemy G, Scanlon C, Najt P, McInerney S, Arndt S, Scherz E, Byrne F, Leemans A, Jeurissen B, Hallahan B, McDonald C, Cannon DM. The Arcuate Fasciculus Network and Verbal Deficits in Psychosis. Transl Neurosci 2017; 8:117-126. [PMID: 29662701 PMCID: PMC5898602 DOI: 10.1515/tnsci-2017-0018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 10/10/2017] [Indexed: 01/12/2023] Open
Abstract
Background Verbal learning (VL) and fluency (VF) are prominent cognitive deficits in psychosis, of which the precise neuroanatomical contributions are not fully understood. We investigated the arcuate fasciculus (AF) and its associated cortical regions to identify structural abnormalities contributing to these verbal impairments in early stages of psychotic illness. Methods Twenty-six individuals with recent-onset psychosis and 27 healthy controls underwent cognitive testing (MATRICS Consensus Cognitive Battery) and structural/diffusion-weighted MRI. Bilaterally, AF anisotropy and cortical thickness, surface area and volume of seven cortical regions were investigated in relation to VL and VF performance in both groups. Results Reduced right superior temporal gyrus surface area and volume related to better VF in controls. In psychosis, greater right pars opercularis volume and reduced left lateralization of this region related to better VL, while greater right long AF fractional anisotropy and right pars orbitalis volume related to better VF, these findings not present in controls. Psychosis had reduced right pars orbitalis thickness compared to controls. Conclusion Anatomical substrates for normal processing of VL and VF appear altered in recent-onset psychosis. A possible aberrant role of the right hemisphere arcuate fasciculus and fronto-temporal cortical regions in psychosis may contribute to deficits in VL and VF.
Collapse
Affiliation(s)
- Joanne P M Kenney
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| | - Genevieve McPhilemy
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| | - Cathy Scanlon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| | - Pablo Najt
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| | - Shane McInerney
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland.,Departments of Psychiatry, St Michaels Hospital & University of Toronto, Toronto, Canada
| | - Sophia Arndt
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| | - Elisabeth Scherz
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| | - Fintan Byrne
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| | - Alexander Leemans
- Images Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ben Jeurissen
- iMinds-Vision Lab, University of Antwerp, Antwerp, Belgium
| | - Brian Hallahan
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| | - Dara M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| |
Collapse
|
29
|
Knöchel C, Kniep J, Cooper JD, Stäblein M, Wenzler S, Sarlon J, Prvulovic D, Linden DEJ, Bahn S, Stocki P, Ozcan S, Alves G, Carvalho AF, Reif A, Oertel-Knöchel V. Altered apolipoprotein C expression in association with cognition impairments and hippocampus volume in schizophrenia and bipolar disorder. Eur Arch Psychiatry Clin Neurosci 2017; 267:199-212. [PMID: 27549216 DOI: 10.1007/s00406-016-0724-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Accepted: 08/07/2016] [Indexed: 12/14/2022]
Abstract
Proteomic analyses facilitate the interpretation of molecular biomarker probes which are very helpful in diagnosing schizophrenia (SZ). In the current study, we attempt to test whether potential differences in plasma protein expressions in SZ and bipolar disorder (BD) are associated with cognitive deficits and their underlying brain structures. Forty-two plasma proteins of 29 SZ patients, 25 BD patients and 93 non-clinical controls were quantified and analysed using multiple reaction monitoring-based triple quadrupole mass spectrometry approach. We also computed group comparisons of protein expressions between patients and controls, and between SZ and BD patients, as well. Potential associations of protein levels with cognitive functioning (psychomotor speed, executive functioning, crystallised intelligence) as well as underlying brain volume in the hippocampus were explored, using bivariate correlation analyses. The main finding of this study was that apolipoprotein expression differed between patients and controls and that these alterations in both disease groups were putatively related to cognitive impairments as well as to hippocampus volumes. However, none of the protein level differences were related to clinical symptom severity. In summary, altered apolipoprotein expression in BD and SZ was linked to cognitive decline and underlying morphological changes in both disorders. Our results suggest that the detection of molecular patterns in association with cognitive performance and its underlying brain morphology is of great importance for understanding of the pathological mechanisms of SZ and BD, as well as for supporting the diagnosis and treatment of both disorders.
Collapse
Affiliation(s)
- Christian Knöchel
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany.
| | - Jonathan Kniep
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
| | - Jason D Cooper
- Institute of Biotechnology, University of Cambridge, Cambridge, UK
| | - Michael Stäblein
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
- Brain Imaging Centre, Goethe University, Frankfurt am Main, Germany
| | - Sofia Wenzler
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
- Brain Imaging Centre, Goethe University, Frankfurt am Main, Germany
| | - Jan Sarlon
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
| | - David Prvulovic
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
| | - David E J Linden
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Sabine Bahn
- Institute of Biotechnology, University of Cambridge, Cambridge, UK
| | - Pawel Stocki
- Institute of Biotechnology, University of Cambridge, Cambridge, UK
- Psynova Neurotech Ltd, Cambridge, UK
| | - Sureyya Ozcan
- Institute of Biotechnology, University of Cambridge, Cambridge, UK
| | - Gilberto Alves
- Translational Psychiatry Research Group, Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceara, Fortaleza, CE, Brazil
| | - Andre F Carvalho
- Translational Psychiatry Research Group, Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceara, Fortaleza, CE, Brazil
| | - Andreas Reif
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
| | - Viola Oertel-Knöchel
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
| |
Collapse
|
30
|
Radoeva PD, Bansal R, Antshel KM, Fremont W, Peterson BS, Kates WR. Longitudinal study of cerebral surface morphology in youth with 22q11.2 deletion syndrome, and association with positive symptoms of psychosis. J Child Psychol Psychiatry 2017; 58:305-314. [PMID: 27786353 PMCID: PMC5340081 DOI: 10.1111/jcpp.12657] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/16/2016] [Indexed: 12/13/2022]
Abstract
BACKGROUND 22q11.2 deletion syndrome (22q11DS) is a genetic disorder that greatly increases risk of developing schizophrenia. We previously characterized cerebral surface morphology trajectories from late childhood to mid adolescence in a cohort of youth with 22q11DS. Herein, we extend the study period into early adulthood, and describe further the trajectories associated with severe psychiatric symptoms in this cohort. METHODS Participants included 76 youth with 22q11DS and 30 unaffected siblings, assessed at three timepoints, during which high resolution, anatomic magnetic resonance images were acquired. High-dimensional, nonlinear warping algorithms were applied to images in order to derive characteristics of cerebral surface morphology for each participant at each timepoint. Repeated-measures, linear regressions using a mixed model were conducted, while covarying for age and sex. RESULTS Alterations in cerebral surface morphology during late adolescence/early adulthood in individuals with 22q11DS were observed in the lateral frontal, orbitofrontal, temporal, parietal, occipital, and cerebellar regions. An Age x Diagnosis interaction revealed that relative to unaffected siblings, individuals with 22q11DS showed age-related surface protrusions in the prefrontal cortex (which remained stable or increased during early adulthood), and surface indentations in posterior regions (which seemed to level off during late adolescence). Symptoms of psychosis were associated with a trajectory of surface indentations in the orbitofrontal and parietal regions. CONCLUSIONS These results advance our understanding of cerebral maturation in individuals with 22q11DS, and provide clinically relevant information about the psychiatric phenotype associated with the longitudinal trajectory of cortical surface morphology in youth with this genetic syndrome.
Collapse
Affiliation(s)
- Petya D. Radoeva
- Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York, USA
| | - Ravi Bansal
- Children’s Hospital Los Angeles and the Keck School of Medicine at the University of Southern California, Los Angeles, California, USA
| | - Kevin M. Antshel
- Department of Psychology, Syracuse University, Syracuse, New York, USA
| | - Wanda Fremont
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York, USA
| | - Bradley S. Peterson
- Children’s Hospital Los Angeles and the Keck School of Medicine at the University of Southern California, Los Angeles, California, USA
| | - Wendy R. Kates
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York, USA
| |
Collapse
|
31
|
Czepielewski LS, Wang L, Gama CS, Barch DM. The Relationship of Intellectual Functioning and Cognitive Performance to Brain Structure in Schizophrenia. Schizophr Bull 2017; 43:355-364. [PMID: 27369471 PMCID: PMC5605271 DOI: 10.1093/schbul/sbw090] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Schizophrenia (SZ) is often characterized by cognitive and intellectual impairment. However, there is much heterogeneity across individuals, suggesting different trajectories of the illness. Recent findings have shown brain volume differences across subgroups of individuals with psychosis (SZ and bipolar disorder), such that those with intellectual and cognitive impairments presented evidence of early cerebral disruption, while those with cognitive but not intellectual impairments showed evidence of progressive brain abnormalities. Our aim was to investigate the relations of cognition and intellectual functioning with brain structure abnormalities in a sample of SZ compared to unaffected individuals. METHODS 92 individuals with SZ and 94 healthy controls part of the Northwestern University Schizophrenia Data and Software Tool (NUSDAST) underwent neuropsychological assessment and structural magnetic resonance imaging (MRI). Individuals with SZ were divided into subgroups according their estimated premorbid crystallized intellectual (ePMC-IQ) and cognitive performance. Brain volumes differences were investigated across groups. RESULTS SZ with ePMC-IQ and cognitive impairments had reduced total brain volume (TBV), intracranial volume (ICV), TBV corrected for ICV, and cortical gray matter volume, as well as reduced cortical thickness, and insula volumes. SZ with cognitive impairment but intact ePMC-IQ showed only reduced cortical gray matter volume and cortical thickness. CONCLUSIONS These data provide additional evidence for heterogeneity in SZ. Impairments in cognition associated with reduced ePMC-IQ were related to evidence of broad brain structural alterations, including suggestion of early cerebral disruption. In contrast, impaired cognitive functioning in the context of more intact intellectual functioning was associated with cortical alterations that may reflect neurodegeneration.
Collapse
Affiliation(s)
- Letícia Sanguinetti Czepielewski
- Department of Psychological and Brain Sciences, Washington University in St Louis, St Louis, MO;,Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre, Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Lei Wang
- Departments of Psychiatry and Behavioral Sciences, Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Clarissa S. Gama
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre, Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Deanna M. Barch
- Department of Psychological and Brain Sciences, Washington University in St Louis, St Louis, MO;,Departments of Psychiatry and Radiology, Washington University in St Louis, St Louis, MO
| |
Collapse
|
32
|
Knöchel C, Schmied C, Linden DEJ, Stäblein M, Prvulovic D, de A de Carvalho L, Harrison O, Barros PO, Carvalho AF, Reif A, Alves GS, Oertel-Knöchel V. White matter abnormalities in the fornix are linked to cognitive performance in SZ but not in BD disorder: An exploratory analysis with DTI deterministic tractography. J Affect Disord 2016; 201:64-78. [PMID: 27177298 DOI: 10.1016/j.jad.2016.03.015] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Revised: 02/19/2016] [Accepted: 03/07/2016] [Indexed: 11/28/2022]
Abstract
BACKGROUND In psychosis, white matter (WM) microstructural changes have been detected previously; however, direct comparisons of findings between bipolar (BD) and schizophrenia (SZ) patients are scarce. In this study, we employed deterministic tractography to reconstruct WM tracts in BD and SZ patients. METHODS Diffusion tensor imaging (DTI) data was carried out with n=32 euthymic BD type I patients, n=26 SZ patients and 30 matched healthy controls. Deterministic tractography using multiple indices of diffusion (fractional anisotropy (FA), tract volume (Vol), tract length (Le) and number of tracts (NofT)) were obtained from the fornix, the cingulum, the anterior thalamic radiation, and the corpus callosum bilaterally. RESULTS We showed widespread WM microstructural changes in SZ, and changes in the corpus callosum, the left cingulum and the fornix in BD. Fornix fiber tracking scores were associated with cognitive performance in SZ, and with age and age at disease onset in the BD patient group. LIMITATIONS Although the influence of psychopharmacological drugs as biasing variables on morphological alterations has been discussed for SZ and BD, we did not observe a clear influence of drug exposure on our findings. CONCLUSIONS These results confirm the assumption that SZ patients have more severe WM changes than BD patients. The findings also suggest a major role of WM changes in the fornix as important fronto-limbic connections in the etiology of cognitive symptoms in SZ, but not in BD.
Collapse
Affiliation(s)
- Christian Knöchel
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe Univ., Frankfurt/Main, Germany.
| | - Claudia Schmied
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe Univ., Frankfurt/Main, Germany
| | - David E J Linden
- MRC Centre for Neuropsychiatric Genetics & Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, United Kingdom
| | - Michael Stäblein
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe Univ., Frankfurt/Main, Germany
| | - David Prvulovic
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe Univ., Frankfurt/Main, Germany
| | - Luiza de A de Carvalho
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - Octavia Harrison
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe Univ., Frankfurt/Main, Germany; Brain Imaging Center, Goethe Univ., Frankfurt/Main, Germany
| | - Paulo O Barros
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - André F Carvalho
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - Andreas Reif
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe Univ., Frankfurt/Main, Germany
| | - Gilberto S Alves
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - Viola Oertel-Knöchel
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe Univ., Frankfurt/Main, Germany
| |
Collapse
|
33
|
Haring L, Müürsepp A, Mõttus R, Ilves P, Koch K, Uppin K, Tarnovskaja J, Maron E, Zharkovsky A, Vasar E, Vasar V. Cortical thickness and surface area correlates with cognitive dysfunction among first-episode psychosis patients. Psychol Med 2016; 46:2145-2155. [PMID: 27269478 DOI: 10.1017/s0033291716000684] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND In studies using magnetic resonance imaging (MRI), some have reported specific brain structure-function relationships among first-episode psychosis (FEP) patients, but findings are inconsistent. We aimed to localize the brain regions where cortical thickness (CTh) and surface area (cortical area; CA) relate to neurocognition, by performing an MRI on participants and measuring their neurocognitive performance using the Cambridge Neuropsychological Test Automated Battery (CANTAB), in order to investigate any significant differences between FEP patients and control subjects (CS). METHOD Exploration of potential correlations between specific cognitive functions and brain structure was performed using CANTAB computer-based neurocognitive testing and a vertex-by-vertex whole-brain MRI analysis of 63 FEP patients and 30 CS. RESULTS Significant correlations were found between cortical parameters in the frontal, temporal, cingular and occipital brain regions and performance in set-shifting, working memory manipulation, strategy usage and sustained attention tests. These correlations were significantly dissimilar between FEP patients and CS. CONCLUSIONS Significant correlations between CTh and CA with neurocognitive performance were localized in brain areas known to be involved in cognition. The results also suggested a disrupted structure-function relationship in FEP patients compared with CS.
Collapse
Affiliation(s)
- L Haring
- Psychiatry Clinic of Tartu University Hospital,Tartu,Estonia
| | - A Müürsepp
- Radiology Clinic of Tartu University Hospital,Tartu,Estonia
| | - R Mõttus
- Department of Psychology,University of Edinburgh,Edinburgh,UK
| | - P Ilves
- Radiology Clinic of Tartu University Hospital,Tartu,Estonia
| | - K Koch
- Psychiatry Clinic of Tartu University Hospital,Tartu,Estonia
| | - K Uppin
- Psychiatry Clinic of Tartu University Hospital,Tartu,Estonia
| | - J Tarnovskaja
- Psychiatry Clinic of Tartu University Hospital,Tartu,Estonia
| | - E Maron
- Psychiatry Clinic of Tartu University Hospital,Tartu,Estonia
| | - A Zharkovsky
- Department of Pharmacology and Translational Medicine,University of Tartu,Tartu,Estonia
| | - E Vasar
- Centre of Excellence for Translational Medicine,University of Tartu,Tartu,Estonia
| | - V Vasar
- Psychiatry Clinic of Tartu University Hospital,Tartu,Estonia
| |
Collapse
|
34
|
Knöchel C, Reuter J, Reinke B, Stäblein M, Marbach K, Feddern R, Kuhlmann K, Alves G, Prvulovic D, Wenzler S, Linden DEJ, Oertel-Knöchel V. Cortical thinning in bipolar disorder and schizophrenia. Schizophr Res 2016; 172:78-85. [PMID: 26876312 DOI: 10.1016/j.schres.2016.02.007] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Revised: 02/02/2016] [Accepted: 02/03/2016] [Indexed: 01/08/2023]
Abstract
Although schizophrenia (SZ) and bipolar disorder (BD) share some clinical features such as psychotic symptoms and cognitive dysfunctions, little is known about possible pathophysiological similarities between both diseases. Therefore, we investigated the potential topographical overlap and segregation of cortical thickness abnormalities in SZ and BD patients. We analyzed 3D-anatomical magnetic resonance imaging datasets with the FreeSurfer 5.1.0 software to examine cortical thickness and volumes in three groups of participants: n=34 BD patients, n=32 SZ patients and n=38 healthy controls. We observed similar bilateral cortical thickness reductions in BD and SZ patients predominantly in the pars opercularis of the inferior frontal gyrus and in the anterior and posterior cingulate. We also found disease-specific cortical reductions in the orbitofrontal cortex for BD patients and in dorsal frontal and temporal areas for SZ. Furthermore, inferior frontal gyrus cortical thinning was associated with deficits in psychomotor speed and executive functioning in SZ patients and with age at onset in both groups. Our findings support the hypothesis that thinning of the frontal cortex may represent a biological feature shared by both disease groups. The associations between cognitive deficits and the reported findings in SZ and to a lesser degree in BD patients add to the functional relevance of our results. However, further studies are needed to corroborate a model of shared pathophysiological disease features across BD and SZ.
Collapse
Affiliation(s)
- Christian Knöchel
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe-University, Frankfurt/Main, Germany.
| | - Johanna Reuter
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe-University, Frankfurt/Main, Germany
| | - Britta Reinke
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe-University, Frankfurt/Main, Germany; Brain Imaging Center (BIC), Goethe-University, Frankfurt/Main, Germany
| | - Michael Stäblein
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe-University, Frankfurt/Main, Germany; Brain Imaging Center (BIC), Goethe-University, Frankfurt/Main, Germany
| | - Katharina Marbach
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe-University, Frankfurt/Main, Germany
| | - Richard Feddern
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe-University, Frankfurt/Main, Germany; Brain Imaging Center (BIC), Goethe-University, Frankfurt/Main, Germany
| | - Kristina Kuhlmann
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe-University, Frankfurt/Main, Germany
| | - Gilberto Alves
- Center for Alzheimer's Disease and Related Disorders, Universidade Federal do Rio de Janeiro, Brazil
| | - David Prvulovic
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe-University, Frankfurt/Main, Germany
| | - Sofia Wenzler
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe-University, Frankfurt/Main, Germany
| | - David E J Linden
- MRC Centre for Neuropsychiatric Genetics & Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, United Kingdom
| | - Viola Oertel-Knöchel
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe-University, Frankfurt/Main, Germany; Brain Imaging Center (BIC), Goethe-University, Frankfurt/Main, Germany
| |
Collapse
|
35
|
Penadés R, Pujol N, Catalán R, Masana G, García-Rizo C, Bargalló N, González-Rodríguez A, Vidal-Piñeiro D, Bernardo M, Junqué C. Cortical thickness in regions of frontal and temporal lobes is associated with responsiveness to cognitive remediation therapy in schizophrenia. Schizophr Res 2016; 171:110-6. [PMID: 26777884 DOI: 10.1016/j.schres.2016.01.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2015] [Revised: 12/01/2015] [Accepted: 01/01/2016] [Indexed: 12/17/2022]
Abstract
BACKGROUND Despite the evidence for the efficacy of cognitive remediation therapy (CRT) in patients with schizophrenia, comparatively little is known about the potential predictors of good treatment response. We tried to determine whether improvement in cognition following CRT is positively associated with baseline cortical thickness (CTh) or baseline clinical symptoms level or baseline cognitive performance. METHODS The current work uses data collected in a previous study (Penadés et al., 2013) in which a CRT program was investigated through a controlled randomized trial (NCT 01318850) with three groups: patients receiving cognitive treatment, patients receiving a different psychological intervention as an active and a healthy control groups (HC). CTh was estimated from the T1-weighted MRIs using the FreeSurfer software. RESULTS We found that CRT responsiveness was associated with baseline measures of cortical thickness in the frontal and temporal lobes. Positive changes in non-verbal memory were associated with greater initial thickness in cortical regions involving left superior frontal, left caudal middle frontal, left precuneus and paracentral; superior frontal, right caudal middle frontal gyrus and pars opercularis. Additionally, uncorrected data also suggested that verbal memory improvement could be associated with CTh in some areas of the frontal and temporal lobes. DISCUSSION Our findings are consistent with the hypothesis that greater CTh in specific brain areas could be associated with better response to CRT. Furthermore, brain areas associated with CRT responsiveness were located mainly in regions of frontal and temporal lobes.
Collapse
Affiliation(s)
- Rafael Penadés
- Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Barcelona Clinic Schizophrenia Unit (BCSU), Institut Clínic de Neurociències (ICN), Hospital Clinic, Barcelona, Spain.
| | - Nuria Pujol
- Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain
| | - Rosa Catalán
- Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Barcelona Clinic Schizophrenia Unit (BCSU), Institut Clínic de Neurociències (ICN), Hospital Clinic, Barcelona, Spain
| | - Guillem Masana
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Barcelona Clinic Schizophrenia Unit (BCSU), Institut Clínic de Neurociències (ICN), Hospital Clinic, Barcelona, Spain
| | - Clemente García-Rizo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Barcelona Clinic Schizophrenia Unit (BCSU), Institut Clínic de Neurociències (ICN), Hospital Clinic, Barcelona, Spain
| | - Nuria Bargalló
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centre de Diagnòstic per la Imatge (CDIC), Hospital Clinic, Barcelona, Spain; Magnetic Resonance Imaging Core Facility, IDIBAPS, Barcelona, Spain
| | - Alexandre González-Rodríguez
- Barcelona Clinic Schizophrenia Unit (BCSU), Institut Clínic de Neurociències (ICN), Hospital Clinic, Barcelona, Spain
| | - Dídac Vidal-Piñeiro
- Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Miquel Bernardo
- Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Barcelona Clinic Schizophrenia Unit (BCSU), Institut Clínic de Neurociències (ICN), Hospital Clinic, Barcelona, Spain
| | - Carme Junqué
- Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| |
Collapse
|
36
|
Knöchel C, Stäblein M, Prvulovic D, Ghinea D, Wenzler S, Pantel J, Alves G, Linden DEJ, Harrison O, Carvalho A, Reif A, Oertel-Knöchel V. Shared and distinct gray matter abnormalities in schizophrenia, schizophrenia relatives and bipolar disorder in association with cognitive impairment. Schizophr Res 2016; 171:140-8. [PMID: 26833265 DOI: 10.1016/j.schres.2016.01.035] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Revised: 12/22/2015] [Accepted: 01/12/2016] [Indexed: 01/01/2023]
Abstract
Cognitive impairments have been linked to structural and functional alterations in frontal and subcortical brain regions, ultimately leading to fronto-thalamic connectivity disturbances. We hypothesized that such neuronal disruptions in frontal and subcortical structures may account for neuropsychological deficits in schizophrenia (SZ), schizophrenia relatives and bipolar disorder (BD). We acquired T1-weighted anatomical MRI sequences in 209 participants: 57 SZ patients, 47 first-degree relatives of SZ patients, 48 BD I patients and 57 healthy controls. We computed group comparisons of gray matter (GM) volume in frontal and basal ganglia regions-of-interest, followed by correlation analysis between psychomotor speed, executive functioning and learning and GM volumes in candidate regions. Several frontal GM volume reductions as well as GM increases in the thalamus and the putamen were exhibited in SZ patients as compared to controls. The same finding was observed - less pronounced - when comparing SZ relatives and controls. BD patients presented GM volume increases in the basal ganglia in comparison to controls. In SZ patients, increases in bilateral thalamus GM volume and decreases in left middle and superior frontal gyrus volume were significantly associated with worse cognitive performance. In summary, our results indicate distinct imbalances across frontal-subcortical circuits in BD, SZ relatives and SZ. The functional relevance of the findings were mainly limited to the SZ patients group: in this group, abnormalities were directly associated with cognitive performance. This result is in line with the finding that the volume alterations were strongest in SZ patients and followed by BD patients and SZ relatives.
Collapse
Affiliation(s)
- Christian Knöchel
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt, Germany.
| | - Michael Stäblein
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt, Germany
| | - David Prvulovic
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt, Germany
| | - Denisa Ghinea
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt, Germany
| | - Sofia Wenzler
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt, Germany
| | - Johannes Pantel
- Institute of General Practice, Goethe University, Frankfurt, Germany
| | - Gilberto Alves
- Translational Psychiatry Research Group, Department of Clinical Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - David E J Linden
- MRC Centre for Neuropsychiatric Genetics & Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, United Kingdom
| | - Octavia Harrison
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt, Germany
| | - Andre Carvalho
- Translational Psychiatry Research Group, Department of Clinical Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - Andreas Reif
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt, Germany
| | - Viola Oertel-Knöchel
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt, Germany
| |
Collapse
|
37
|
Anderson VM, McIlwain ME, Kydd RR, Russell BR. Does cognitive impairment in treatment-resistant and ultra-treatment-resistant schizophrenia differ from that in treatment responders? Psychiatry Res 2015; 230:811-8. [PMID: 26564550 DOI: 10.1016/j.psychres.2015.10.036] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Revised: 09/29/2015] [Accepted: 10/30/2015] [Indexed: 12/31/2022]
Abstract
This study aimed to investigate whether cognitive impairment is more pronounced in people with treatment-resistant schizophrenia compared with those who respond well to first-line antipsychotic medication. Fifty-one patients with schizophrenia were assigned to one of three groups dependent on their clinical history: (i) 16 people who had responded well to first-line antipsychotic medication, (ii) 20 people who were treatment-resistant but responding to clozapine monotherapy, (iii) 15 people who were ultra-treatment-resistant/clozapine-resistant but responding to antipsychotic polypharmacy. Twenty-two controls were also recruited. Groups were matched for age, sex, disease duration and psychopathology. All participants undertook a computerised battery of neuropsychological tests that assessed multiple cognitive domains. Raw data were converted to z-scores, and test performance was compared between groups. People with schizophrenia performed significantly worse than controls in the majority of neuropsychological tests, with verbal memory, sustained attention, and sensorimotor the most commonly impaired domains. No significant differences in performance between people deemed to be treatment-resistant or ultra-treatment-resistant, and those who responded well to first-line antipsychotic medication were observed. There was no significant relationship between antipsychotic dose and scores on any of the neuropsychological tests. Cognitive impairment is a central feature of schizophrenia, but our results suggest that treatment-resistance may not be associated with more severe deficits.
Collapse
Affiliation(s)
- Valerie M Anderson
- School of Pharmacy, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand; Centre for Brain Research, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
| | - Meghan E McIlwain
- School of Pharmacy, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand; Centre for Brain Research, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
| | - Robert R Kydd
- Centre for Brain Research, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand; Department of Psychological Medicine, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
| | - Bruce R Russell
- School of Pharmacy, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand; Centre for Brain Research, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.
| |
Collapse
|
38
|
Guimond S, Chakravarty MM, Bergeron-Gagnon L, Patel R, Lepage M. Verbal memory impairments in schizophrenia associated with cortical thinning. Neuroimage Clin 2015; 11:20-29. [PMID: 26909322 PMCID: PMC4732190 DOI: 10.1016/j.nicl.2015.12.010] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Revised: 12/11/2015] [Accepted: 12/20/2015] [Indexed: 01/22/2023]
Abstract
Verbal memory (VM) represents one of the most affected cognitive domains in schizophrenia. Multiple studies have shown that schizophrenia is associated with cortical abnormalities, but it remains unclear whether these are related to VM impairments. Considering the vast literature demonstrating the role of the frontal cortex, the parahippocampal cortex, and the hippocampus in VM, we examined the cortical thickness/volume of these regions. We used a categorical approach whereby 27 schizophrenia patients with 'moderate to severe' VM impairments were compared to 23 patients with 'low to mild' VM impairments and 23 healthy controls. A series of between-group vertex-wise GLM on cortical thickness were performed for specific regions of interest defining the parahippocampal gyrus and the frontal cortex. When compared to healthy controls, patients with 'moderate to severe' VM impairments revealed significantly thinner cortex in the left frontal lobe, and the parahippocampal gyri. When compared to patients with 'low to mild' VM impairments, patients with 'moderate to severe' VM impairments showed a trend of thinner cortex in similar regions. Virtually no differences were observed in the frontal area of patients with 'low to mild' VM impairments relative to controls. No significant group differences were observed in the hippocampus. Our results indicate that patients with greater VM impairments demonstrate significant cortical thinning in regions known to be important in VM performance. Treating VM deficits in schizophrenia could have a positive effect on the brain; thus, subgroups of patients with more severe VM deficits should be a prioritized target in the development of new cognitive treatments.
Collapse
Affiliation(s)
- S Guimond
- Department of Psychology, McGill University, Canada; Douglas Mental Health University Institute, Canada
| | - M M Chakravarty
- Douglas Mental Health University Institute, Canada; Department of Psychiatry, McGill University, Canada
| | - L Bergeron-Gagnon
- Douglas Mental Health University Institute, Canada; Department of Psychology, University of Montreal, Canada
| | - R Patel
- Douglas Mental Health University Institute, Canada
| | - M Lepage
- Douglas Mental Health University Institute, Canada; Department of Psychiatry, McGill University, Canada.
| |
Collapse
|
39
|
Geisler D, Walton E, Naylor M, Roessner V, Lim KO, Schulz SC, Gollub RL, Calhoun VD, Sponheim SR, Ehrlich S. Brain structure and function correlates of cognitive subtypes in schizophrenia. Psychiatry Res 2015; 234:74-83. [PMID: 26341950 PMCID: PMC4705852 DOI: 10.1016/j.pscychresns.2015.08.008] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Revised: 07/27/2015] [Accepted: 08/20/2015] [Indexed: 02/08/2023]
Abstract
Stable neuropsychological deficits may provide a reliable basis for identifying etiological subtypes of schizophrenia. The aim of this study was to identify clusters of individuals with schizophrenia based on dimensions of neuropsychological performance, and to characterize their neural correlates. We acquired neuropsychological data as well as structural and functional magnetic resonance imaging from 129 patients with schizophrenia and 165 healthy controls. We derived eight cognitive dimensions and subsequently applied a cluster analysis to identify possible schizophrenia subtypes. Analyses suggested the following four cognitive clusters of schizophrenia: (1) Diminished Verbal Fluency, (2) Diminished Verbal Memory and Poor Motor Control, (3) Diminished Face Memory and Slowed Processing, and (4) Diminished Intellectual Function. The clusters were characterized by a specific pattern of structural brain changes in areas such as Wernicke's area, lingual gyrus and occipital face area, and hippocampus as well as differences in working memory-elicited neural activity in several fronto-parietal brain regions. Separable measures of cognitive function appear to provide a method for deriving cognitive subtypes meaningfully related to brain structure and function. Because the present study identified brain-based neural correlates of the cognitive clusters, the proposed groups of individuals with schizophrenia have some external validity.
Collapse
Affiliation(s)
- Daniel Geisler
- Technische Universität Dresden, Translational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Dresden, Germany
| | - Esther Walton
- Technische Universität Dresden, Translational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Dresden, Germany
| | - Melissa Naylor
- Pritzker School of Medicine, University of Chicago, Chicago, Illinois, United States of America
| | - Veit Roessner
- Technische Universität Dresden, Translational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Dresden, Germany
| | - Kelvin O Lim
- Minneapolis VA Health Care System & Department of Psychiatry, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - S Charles Schulz
- Minneapolis VA Health Care System & Department of Psychiatry, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Randy L Gollub
- MGH/MIT/HMS Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, United States of America,Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Vince D Calhoun
- Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico, United States of America,The MIND Research Network, Albuquerque, New Mexico, United States of America
| | - Scott R Sponheim
- Minneapolis VA Health Care System & Department of Psychiatry, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Stefan Ehrlich
- Translational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany; MGH/MIT/HMS Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States of America; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States of America.
| |
Collapse
|
40
|
Vaskinn A, Hartberg CB, Sundet K, Westlye LT, Andreassen OA, Melle I, Agartz I. To the editors: Reply to Anna R. Docherty. Psychiatry Res 2015; 233:497. [PMID: 26319295 DOI: 10.1016/j.pscychresns.2015.07.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2015] [Accepted: 07/26/2015] [Indexed: 12/01/2022]
Affiliation(s)
- Anja Vaskinn
- Department of Psychology, University of Oslo, Norway; NORMENT K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, Norway.
| | - Cecilie B Hartberg
- NORMENT K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital Oslo, Norway
| | - Kjetil Sundet
- Department of Psychology, University of Oslo, Norway; NORMENT K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, Norway
| | - Lars T Westlye
- Department of Psychology, University of Oslo, Norway; NORMENT K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, Norway
| | - Ole A Andreassen
- NORMENT K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, Norway; Department of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Norway
| | - Ingrid Melle
- NORMENT K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, Norway; Department of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Norway
| | - Ingrid Agartz
- NORMENT K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital Oslo, Norway; Department of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Norway
| |
Collapse
|
41
|
Brandt CL, Doan NT, Tønnesen S, Agartz I, Hugdahl K, Melle I, Andreassen OA, Westlye LT. Assessing brain structural associations with working-memory related brain patterns in schizophrenia and healthy controls using linked independent component analysis. Neuroimage Clin 2015; 9:253-63. [PMID: 26509112 PMCID: PMC4576364 DOI: 10.1016/j.nicl.2015.08.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Revised: 07/17/2015] [Accepted: 08/17/2015] [Indexed: 01/01/2023]
Abstract
Schizophrenia (SZ) is a psychotic disorder with significant cognitive dysfunction. Abnormal brain activation during cognitive processing has been reported, both in task-positive and task-negative networks. Further, structural cortical and subcortical brain abnormalities have been documented, but little is known about how task-related brain activation is associated with brain anatomy in SZ compared to healthy controls (HC). Utilizing linked independent component analysis (LICA), a data-driven multimodal analysis approach, we investigated structure-function associations in a large sample of SZ (n = 96) and HC (n = 142). We tested for associations between task-positive (fronto-parietal) and task-negative (default-mode) brain networks derived from fMRI activation during an n-back working memory task, and brain structural measures of surface area, cortical thickness, and gray matter volume, and to what extent these associations differed in SZ compared to HC. A significant association (p < .05, corrected for multiple comparisons) was found between a component reflecting the task-positive fronto-parietal network and another component reflecting cortical thickness in fronto-temporal brain regions in SZ, indicating increased activation with increased thickness. Other structure-function associations across, between and within groups were generally moderate and significant at a nominal p-level only, with more numerous and stronger associations in SZ compared to HC. These results indicate a complex pattern of moderate associations between brain activation during cognitive processing and brain morphometry, and extend previous findings of fronto-temporal brain abnormalities in SZ by suggesting a coupling between cortical thickness of these brain regions and working memory-related brain activation.
Collapse
Affiliation(s)
- Christine Lycke Brandt
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Nhat Trung Doan
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Siren Tønnesen
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway ; Department of Psychiatric Research, Diakonhjemmet Hospital, Diakonhjemmet, Norway ; Department of Clinical Neuroscience, Psychiatry Section, Karolinska Institutet, Stockholm, Sweden
| | - Kenneth Hugdahl
- Norwegian Centre for Mental Disorders Research, Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway ; Division of Psychiatry, Haukeland University Hospital, Haukeland, Norway ; Department of Radiology, Haukeland University Hospital, Haukeland, Norway ; KG Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway ; Department of Psychology, University of Oslo, Oslo, Norway
| |
Collapse
|
42
|
Tohid H, Faizan M, Faizan U. Alterations of the occipital lobe in schizophrenia. NEUROSCIENCES (RIYADH, SAUDI ARABIA) 2015; 20:213-24. [PMID: 26166588 PMCID: PMC4710336 DOI: 10.17712/nsj.2015.3.20140757] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The relationship of the occipital lobe of the brain with schizophrenia is not commonly studied; however, this topic is considered an essential subject matter among clinicians and scientists. We conducted this systematic review to elaborate the relationship in depth. We found that most schizophrenic patients show normal occipital anatomy and physiology, a minority showed dwindled values, and some demonstrated augmented function and structure. The findings are laborious to incorporate within single disease models that present the involvement of the occipital lobe in schizophrenia. Schizophrenia progresses clinically in the mid-twenties and thirties and its prognosis is inadequate. Changes in the volume, the gray matter, and the white matter in the occipital lobe are quite evident; however, the mechanism behind this involvement is not yet fully understood. Therefore, we recommend further research to explore the occipital lobe functions and volumes across the different stages of schizophrenia.
Collapse
Affiliation(s)
- Hassaan Tohid
- Center for Mind and Brain, UC Davis, CA, United States of America. E-mail:
| | | | | |
Collapse
|
43
|
Robertson FC, Narr KL, Molteno CD, Jacobson JL, Jacobson SW, Meintjes EM. Prenatal Alcohol Exposure is Associated with Regionally Thinner Cortex During the Preadolescent Period. Cereb Cortex 2015; 26:3083-95. [PMID: 26088967 DOI: 10.1093/cercor/bhv131] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Children with fetal alcohol spectrum disorders (FASD) may exhibit craniofacial dysmorphology, neurobehavioral deficits, and reduced brain volume. Studies of cortical thickness in FASD have yielded contradictory findings, with 3 reporting thicker cerebral cortex in frontal and temporal brain regions and 2 showing thinner cortex across multiple regions. All 5 studies included subjects spanning a broad age range, and none have examined continuous measures of prenatal alcohol exposure. We investigated the relation of extent of in utero alcohol exposure to cortical thickness in 78 preadolescent children with FASD and controls within a narrow age range. A whole-brain analysis using FreeSurfer revealed no significant clusters where cortical thickness differed by FASD diagnostic group. However, alcohol dose/occasion during pregnancy was inversely related to cortical thickness in 3 regions-right cuneus/pericalcarine/superior parietal lobe, fusiform/lingual gyrus, and supramarginal/postcentral gyrus. The effect of prenatal alcohol exposure on IQ was mediated by cortical thickness in the right occipitotemporal region. It is noteworthy that a continuous measure of maternal alcohol consumption during pregnancy was more sensitive than FASD diagnosis and that the effect on cortical thickness was most evident in relation to a measure of maternal binge drinking.
Collapse
Affiliation(s)
- Frances C Robertson
- MRC/UCT Medical Imaging Research Unit Department of Human Biology, Faculty of Health Sciences
| | - Katherine L Narr
- Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, Los Angeles, CA, USA
| | - Christopher D Molteno
- Department of Psychiatry and Mental Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Joseph L Jacobson
- Department of Human Biology, Faculty of Health Sciences Department of Psychiatry and Mental Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - Sandra W Jacobson
- Department of Human Biology, Faculty of Health Sciences Department of Psychiatry and Mental Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - Ernesta M Meintjes
- MRC/UCT Medical Imaging Research Unit Department of Human Biology, Faculty of Health Sciences
| |
Collapse
|
44
|
Fears SC, Schür R, Sjouwerman R, Service SK, Araya C, Araya X, Bejarano J, Knowles E, Gomez-Makhinson J, Lopez MC, Aldana I, Teshiba TM, Abaryan Z, Al-Sharif NB, Navarro L, Tishler TA, Altshuler L, Bartzokis G, Escobar JI, Glahn DC, Thompson PM, Lopez-Jaramillo C, Macaya G, Molina J, Reus VI, Sabatti C, Cantor RM, Freimer NB, Bearden CE. Brain structure-function associations in multi-generational families genetically enriched for bipolar disorder. Brain 2015; 138:2087-102. [PMID: 25943422 DOI: 10.1093/brain/awv106] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2014] [Accepted: 02/14/2015] [Indexed: 01/10/2023] Open
Abstract
Recent theories regarding the pathophysiology of bipolar disorder suggest contributions of both neurodevelopmental and neurodegenerative processes. While structural neuroimaging studies indicate disease-associated neuroanatomical alterations, the behavioural correlates of these alterations have not been well characterized. Here, we investigated multi-generational families genetically enriched for bipolar disorder to: (i) characterize neurobehavioural correlates of neuroanatomical measures implicated in the pathophysiology of bipolar disorder; (ii) identify brain-behaviour associations that differ between diagnostic groups; (iii) identify neurocognitive traits that show evidence of accelerated ageing specifically in subjects with bipolar disorder; and (iv) identify brain-behaviour correlations that differ across the age span. Structural neuroimages and multi-dimensional assessments of temperament and neurocognition were acquired from 527 (153 bipolar disorder and 374 non-bipolar disorder) adults aged 18-87 years in 26 families with heavy genetic loading for bipolar disorder. We used linear regression models to identify significant brain-behaviour associations and test whether brain-behaviour relationships differed: (i) between diagnostic groups; and (ii) as a function of age. We found that total cortical and ventricular volume had the greatest number of significant behavioural associations, and included correlations with measures from multiple cognitive domains, particularly declarative and working memory and executive function. Cortical thickness measures, in contrast, showed more specific associations with declarative memory, letter fluency and processing speed tasks. While the majority of brain-behaviour relationships were similar across diagnostic groups, increased cortical thickness in ventrolateral prefrontal and parietal cortical regions was associated with better declarative memory only in bipolar disorder subjects, and not in non-bipolar disorder family members. Additionally, while age had a relatively strong impact on all neurocognitive traits, the effects of age on cognition did not differ between diagnostic groups. Most brain-behaviour associations were also similar across the age range, with the exception of cortical and ventricular volume and lingual gyrus thickness, which showed weak correlations with verbal fluency and inhibitory control at younger ages that increased in magnitude in older subjects, regardless of diagnosis. Findings indicate that neuroanatomical traits potentially impacted by bipolar disorder are significantly associated with multiple neurobehavioural domains. Structure-function relationships are generally preserved across diagnostic groups, with the notable exception of ventrolateral prefrontal and parietal association cortex, volumetric increases in which may be associated with cognitive resilience specifically in individuals with bipolar disorder. Although age impacted all neurobehavioural traits, we did not find any evidence of accelerated cognitive decline specific to bipolar disorder subjects. Regardless of diagnosis, greater global brain volume may represent a protective factor for the effects of ageing on executive functioning.
Collapse
Affiliation(s)
- Scott C Fears
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Remmelt Schür
- 2 Academisch Medisch Centrum, Department of Paediatric Neurology/Emma Children's Hospital, Amsterdam, The Netherlands
| | - Rachel Sjouwerman
- 3 University Medical Centre Utrecht, Neuroscience, Utrecht, The Netherlands
| | - Susan K Service
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Carmen Araya
- 4 Cell and Molecular Biology Research Centre, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Xinia Araya
- 4 Cell and Molecular Biology Research Centre, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Julio Bejarano
- 4 Cell and Molecular Biology Research Centre, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Emma Knowles
- 5 Department of Psychiatry, Yale University and Olin Neuropsychiatric Research Centre, Institute of Living, Hartford Hospital, Hartford, Connecticut, USA
| | - Juliana Gomez-Makhinson
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Maria C Lopez
- 6 Grupo de Investigación en Psiquiatría [Research Group in Psychiatry (GIPSI)], Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia. Medellín, Colombia
| | - Ileana Aldana
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Terri M Teshiba
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Zvart Abaryan
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Noor B Al-Sharif
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Linda Navarro
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Todd A Tishler
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Lori Altshuler
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - George Bartzokis
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Javier I Escobar
- 7 Department of Psychiatry and Family Medicine, Rutgers-Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
| | - David C Glahn
- 5 Department of Psychiatry, Yale University and Olin Neuropsychiatric Research Centre, Institute of Living, Hartford Hospital, Hartford, Connecticut, USA
| | - Paul M Thompson
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Carlos Lopez-Jaramillo
- 6 Grupo de Investigación en Psiquiatría [Research Group in Psychiatry (GIPSI)], Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia. Medellín, Colombia
| | - Gabriel Macaya
- 4 Cell and Molecular Biology Research Centre, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Julio Molina
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA 8 BioCiencias Laboratory, Guatemala, Guatemala
| | - Victor I Reus
- 9 Department of Psychiatry, University of California, San Francisco, California, USA
| | - Chiara Sabatti
- 10 Department of Health Research and Policy, Stanford University, Stanford, California, USA
| | - Rita M Cantor
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA 11 Department of Human Genetics, University of California, Los Angeles, California, USA
| | - Nelson B Freimer
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| | - Carrie E Bearden
- 1 Department of Psychiatry and Biobehavioural Science, University of California, Los Angeles, California, USA
| |
Collapse
|
45
|
Lee DH, Lee KJ, Cho KIK, Noh EC, Jang JH, Kim YC, Kang DH. Brain alterations and neurocognitive dysfunction in patients with complex regional pain syndrome. THE JOURNAL OF PAIN 2015; 16:580-6. [PMID: 25840331 DOI: 10.1016/j.jpain.2015.03.006] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Revised: 02/07/2015] [Accepted: 03/14/2015] [Indexed: 12/13/2022]
Abstract
UNLABELLED Few studies have examined the involvement of specific subregions of the prefrontal cortex in complex regional pain syndrome (CRPS). We analyzed cortical thickness to identify morphologic differences in local brain structures between patients with CRPS and healthy control subjects (HCs). Furthermore, we evaluated the correlation between cortical thickness and neurocognitive function. Cortical thickness was measured in 25 patients with CRPS and 25 HCs using the FreeSurfer method. Pain severity and psychiatric symptoms were assessed using the Short Form McGill Pain Questionnaire and the Beck Depression and Anxiety Inventories, respectively. Neurocognitive function was assessed via the Wisconsin Card Sorting Test and the stop-signal task. The right dorsolateral prefrontal cortex and left ventromedial prefrontal cortex were significantly thinner in CRPS patients than in HCs. CRPS patients made more perseveration errors on the Wisconsin Card Sorting Test and had longer stop-signal task reaction times than HCs. Although the Beck Depression Inventory and the Beck Anxiety Inventory differ significantly between the groups, they were not correlated with cortical thickness. Our study suggests that the pathophysiology of CRPS may be related to reduced cortical thickness in the dorsolateral prefrontal cortex and the ventromedial prefrontal cortex. The structural alterations in dorsolateral prefrontal cortex may explain executive dysfunction and disinhibited pain perception in CRPS. PERSPECTIVE The present study reports decreased cortical thickness in the prefrontal cortex and neurocognitive dysfunctions in patients with CRPS. These findings may contribute to the understanding of pain-related impairments in cognitive function and could help explain the symptoms or progression of CRPS.
Collapse
Affiliation(s)
- Do-Hyeong Lee
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kyung-Jun Lee
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kang Ik K Cho
- Department of Brain and Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea
| | - Eun Chung Noh
- Department of Brain and Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea
| | - Joon Hwan Jang
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yong Chul Kim
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Do-Hyung Kang
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
| |
Collapse
|
46
|
Gould IC, Shepherd AM, Laurens KR, Cairns MJ, Carr VJ, Green MJ. Multivariate neuroanatomical classification of cognitive subtypes in schizophrenia: a support vector machine learning approach. Neuroimage Clin 2014; 6:229-36. [PMID: 25379435 PMCID: PMC4215428 DOI: 10.1016/j.nicl.2014.09.009] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2014] [Accepted: 09/12/2014] [Indexed: 01/09/2023]
Abstract
Heterogeneity in the structural brain abnormalities associated with schizophrenia has made identification of reliable neuroanatomical markers of the disease difficult. The use of more homogenous clinical phenotypes may improve the accuracy of predicting psychotic disorder/s on the basis of observable brain disturbances. Here we investigate the utility of cognitive subtypes of schizophrenia - 'cognitive deficit' and 'cognitively spared' - in determining whether multivariate patterns of volumetric brain differences can accurately discriminate these clinical subtypes from healthy controls, and from each other. We applied support vector machine classification to grey- and white-matter volume data from 126 schizophrenia patients previously allocated to the cognitive spared subtype, 74 cognitive deficit schizophrenia patients, and 134 healthy controls. Using this method, cognitive subtypes were distinguished from healthy controls with up to 72% accuracy. Cross-validation analyses between subtypes achieved an accuracy of 71%, suggesting that some common neuroanatomical patterns distinguish both subtypes from healthy controls. Notably, cognitive subtypes were best distinguished from one another when the sample was stratified by sex prior to classification analysis: cognitive subtype classification accuracy was relatively low (<60%) without stratification, and increased to 83% for females with sex stratification. Distinct neuroanatomical patterns predicted cognitive subtype status in each sex: sex-specific multivariate patterns did not predict cognitive subtype status in the other sex above chance, and weight map analyses demonstrated negative correlations between the spatial patterns of weights underlying classification for each sex. These results suggest that in typical mixed-sex samples of schizophrenia patients, the volumetric brain differences between cognitive subtypes are relatively minor in contrast to the large common disease-associated changes. Volumetric differences that distinguish between cognitive subtypes on a case-by-case basis appear to occur in a sex-specific manner that is consistent with previous evidence of disrupted relationships between brain structure and cognition in male, but not female, schizophrenia patients. Consideration of sex-specific differences in brain organization is thus likely to assist future attempts to distinguish subgroups of schizophrenia patients on the basis of neuroanatomical features.
Collapse
Affiliation(s)
- Ian C. Gould
- Schizophrenia Research Institute, Darlinghurst, NSW, Australia
- School of Psychiatry, University of New South Wales, Australia
| | - Alana M. Shepherd
- Schizophrenia Research Institute, Darlinghurst, NSW, Australia
- School of Psychiatry, University of New South Wales, Australia
| | - Kristin R. Laurens
- Schizophrenia Research Institute, Darlinghurst, NSW, Australia
- School of Psychiatry, University of New South Wales, Australia
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Murray J. Cairns
- Schizophrenia Research Institute, Darlinghurst, NSW, Australia
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, NSW, Australia
| | - Vaughan J. Carr
- Schizophrenia Research Institute, Darlinghurst, NSW, Australia
- School of Psychiatry, University of New South Wales, Australia
| | - Melissa J. Green
- Schizophrenia Research Institute, Darlinghurst, NSW, Australia
- School of Psychiatry, University of New South Wales, Australia
- Black Dog Institute, Prince of Wales Hospital, Randwick, NSW, Australia
- Neuroscience Research Australia, Randwick, NSW, Australia
| |
Collapse
|
47
|
Kumarasinghe N, Rasser PE, Mendis J, Bergmann J, Knechtel L, Oxley S, Perera A, Thompson PM, Tooney PA, Schall U. Age effects on cerebral grey matter and their associations with psychopathology, cognition and treatment response in previously untreated schizophrenia patients. ACTA ACUST UNITED AC 2014. [DOI: 10.1016/j.npbr.2014.01.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
|
48
|
Schultz CC, Nenadic I, Riley B, Vladimirov VI, Wagner G, Koch K, Schachtzabel C, Mühleisen TW, Basmanav B, Nöthen MM, Deufel T, Kiehntopf M, Rietschel M, Reichenbach JR, Cichon S, Schlösser RGM, Sauer H. ZNF804A and cortical structure in schizophrenia: in vivo and postmortem studies. Schizophr Bull 2014; 40:532-41. [PMID: 24078172 PMCID: PMC3984519 DOI: 10.1093/schbul/sbt123] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Recent evidence indicated that the ZNF804A (rs1344706) risk allele A is associated with better cognitive performance in patients with schizophrenia. Moreover, it has been demonstrated that ZNF804A may also be related to relatively intact gray matter volume in patients. To further explore these putatively protective effects, the impact of ZNF804A on cortical thickness and folding was examined in this study. To elucidate potential molecular mechanisms, an allelic-specific gene expression study was also carried out. Magnetic resonance imaging cortical thickness and folding were computed in 55 genotyped patients with schizophrenia and 40 healthy controls. Homozygous risk allele carriers (AA) were compared with AC/CC carriers. ZNF804A gene expression was analyzed in a prefrontal region using postmortem tissue from another cohort of 35 patients. In patients, AA carriers exhibited significantly thicker cortex in prefrontal and temporal regions and less disturbed superior temporal cortical folding, whereas the opposite effect was observed in controls, ie, AA carrier status was associated with thinner cortex and more severe altered cortical folding. Along with this, our expression analysis revealed that the risk allele is associated with lower prefrontal ZNF804A expression in patients, whereas the opposite effect in controls has been observed by prior analyses. In conclusion, our analyses provide convergent support for the hypothesis that the schizophrenia-associated ZNF804A variant mediates protective effects on cortex structure in patients. In particular, the allele-specific expression profile in patients might constitute a molecular mechanism for the observed protective influence of ZNF804A on cortical thickness and folding and potentially other intermediate phenotypes.
Collapse
Affiliation(s)
- Carl Christoph Schultz
- *To whom correspondence should be addressed; Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07740 Jena, Germany; tel: +49-3641-9-35665, fax: +49-3641-9-35444, e-mail:
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
49
|
Smolker HR, Depue BE, Reineberg AE, Orr JM, Banich MT. Individual differences in regional prefrontal gray matter morphometry and fractional anisotropy are associated with different constructs of executive function. Brain Struct Funct 2014; 220:1291-306. [PMID: 24562372 DOI: 10.1007/s00429-014-0723-y] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2013] [Accepted: 01/29/2014] [Indexed: 12/30/2022]
Abstract
Although the relationship between structural differences within the prefrontal cortex (PFC) and executive function (EF) has been widely explored in cognitively impaired populations, little is known about this relationship in healthy young adults. Using optimized voxel-based morphometry (VBM), surface-based morphometry (SBM), and fractional anisotropy (FA) we determined the association between regional PFC grey matter (GM) morphometry and white matter tract diffusivity with performance on tasks that tap different aspects of EF as drawn from Miyake et al.'s three-factor model of EF. Reductions in both GM volume (VBM) and cortical folding (SBM) in the ventromedial PFC (vmPFC), ventrolateral PFC (vlPFC), and dorsolateral PFC (dlPFC) predicted better common EF, shifting-specific, and updating-specific performance, respectively. Despite capturing different components of GM morphometry, voxel- and surface-based findings were highly related, exhibiting regionally overlapping relationships with EF. Increased white matter FA in fiber tracts that connect the vmPFC and vlPFC with posterior regions of the brain also predicted better common EF and shifting-specific performance, respectively. These results suggest that the neural mechanisms supporting distinct aspects of EF may differentially rely on distinct regions of the PFC, and at least in healthy young adults, are influenced by regional morphometry of the PFC and the FA of major white matter tracts that connect the PFC with posterior cortical and subcortical regions.
Collapse
Affiliation(s)
- H R Smolker
- The Institute of Cognitive Science, University of Colorado, Boulder, USA
| | | | | | | | | |
Collapse
|
50
|
Cassidy C, Buchy L, Bodnar M, Dell’Elce J, Choudhry Z, Fathalli F, Sengupta S, Fox R, Malla A, Lepage M, Iyer S, Joober R. Association of a risk allele of ANK3 with cognitive performance and cortical thickness in patients with first-episode psychosis. J Psychiatry Neurosci 2014; 39:31-9. [PMID: 24016415 PMCID: PMC3868663 DOI: 10.1503/jpn.120242] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND The gene ANK3 is implicated in bipolar disorder and schizophrenia. The present study investigated the influence of this gene on cognitive performance and brain structure among individuals with first-episode psychosis (FEP). The brief illness duration of an FEP sample makes it well suited for studying the effects of genetic variation. METHODS We genotyped 2 single nucleotide polymorphisms (SNPs; rs1938526 and rs10994336) in ANK3 in patients with FEP. Multivariate analysis of variance compared risk allele carriers and noncarriers on 6 domains of cognition consistent with MATRICS consensus. A subsample of 82 patients was assessed using magnetic resonance imaging. We compared brain structure between carriers and noncarriers using cortical thickness analysis and voxel-based morphometry on white matter. RESULTS In the 173 patients with FEP included in our study, rs1938526 and rs10994336 were in very high linkage disequilibrium (d' = 0.95), and analyses were therefore only carried out on the SNP (rs1938526) with the highest minor allele frequency (G). Allele G of rs1938526, was associated with lower cognitive performance across domains (F6,164 = 2.38, p = 0.030) and significantly lower scores on the domains of verbal memory (p = 0.015), working memory (p = 0.006) and attention (p = 0.019). The significant effects of this SNP on cognition were not maintained when controlling for IQ. Cortical thinning was observed in risk allele carriers at diverse sites across cortical lobes bilaterally at a threshold of p < 0.01, false discovery rate-corrected. Risk-allele carriers did not show any regions of reduced white matter volume. LIMITATIONS The sample size is modest given that a low-frequency variant was being examined. CONCLUSION The ANK3 risk allele rs1938526 appears to be associated with general cognitive impairment and widespread cortical thinning in patients with FEP.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Ridha Joober
- Correspondence to: R. Joober, Douglas Mental Health University Institute, 6875 LaSalle Blvd., Montréal QC Canada H4H 1R3;
| |
Collapse
|