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|Year : 2013
: 55 | Issue : 2 | Page
|Dorsolateral prefrontal lobe volume and neurological soft signs as predictors of clinical social and functional outcome in schizophrenia: A longitudinal study
Rishikesh V Behere
Department of Psychiatry, Kasturba Medical College, Manipal University, Manipal, Karnataka, India
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|Date of Web Publication||7-May-2013|
| Abstract|| |
Schizophrenia is a disorder with variable outcome and the ability to predict the outcome has important clinical utility. Neurological soft signs (NSS) and dorsolateral prefrontal cortex volumes have been described as trait markers for schizophrenia and their relation to long-term outcome in schizophrenia has not been well studied. The aim of this study was to examine the correlation between baseline dorsolateral prefrontal lobe (DLPFL) volume and NSS scores to clinical and functional outcome variables in a cohort of schizophrenia patients who were anti-psychotic naïve at baseline. Fourteen anti-psychotic naive schizophrenia patients whose baseline magnetic resonance imaging scans, NSS scores and positive and negative signs and symptoms scale (PANSS) scores (assessed in drug naïve state) were available were reevaluated after a mean follow-up period of 74.2±24.2 months. The clinical outcome variables measured was PANSS. The social and functional outcome was assessed comprehensively by the socio occupational functioning scale and the Strauss Carpenter outcome scale. The DLPFL, volume was measured from the baseline scans using the region of interest method. Statistical analysis was done using the paired samples t-test and the Pearson's correlation co-efficient. The results showed that smaller left DLPFL volume and greater primitive reflexes at baseline predicted greater negative symptoms and poorer functional outcome on follow-up. This study also demonstrates the clinical utility of NSS as a simple bedside tool in assessing schizophrenia patients.
Keywords: Dorsolateral prefrontal lobe, primitive reflexes, schizophrenia, social and occupational functioning
|How to cite this article:|
Behere RV. Dorsolateral prefrontal lobe volume and neurological soft signs as predictors of clinical social and functional outcome in schizophrenia: A longitudinal study. Indian J Psychiatry 2013;55:111-6
|How to cite this URL:|
Behere RV. Dorsolateral prefrontal lobe volume and neurological soft signs as predictors of clinical social and functional outcome in schizophrenia: A longitudinal study. Indian J Psychiatry [serial online] 2013 [cited 2018 Jan 20];55:111-6. Available from: http://www.indianjpsychiatry.org/text.asp?2013/55/2/111/111445
| Introduction|| |
Schizophrenia has generally been considered as a chronic disorder with a progressive course and poor outcome. The earliest systematic long term follow-up of schizophrenia patients was conducted by Kraepelin who concluded that dementia praecox is a disorder with a progressive course and poor prognosis.  Landmark long-term follow-up studies by Bleuler,  Tsuang  have reported rates of remission of 26-43% and 50-75% patients may remain clinically stable with stable deficits. 1-4% patients are reported to have chronic deteriorating course. Similar findings have been reported from Indian studies. Thara et al.  in a 20 year follow-up study have reported complete remission and continuous course of 8.2% and episodic course with stable deficits in 44.3%. Recent Indian study from Vellore  also reported that 50% patients had residual deficits over 1 year follow-up. Hence from the clinical perspective, markers predicting outcome of schizophrenia patients at baseline is of great importance and can have important treatment implications.
Predictors of outcome
Various non-specific predictors such as female sex, being married, shorter duration of untreated psychosis, acute onset with presence of well-defined precipitating factors, well-adjusted premorbid personality traits, being in developing countries; have been described to be associated with a favorable outcome in important studies such as International Pilot Study of Schizophrenia. 
While clinical and demographic factors can provide important pointers to predicting outcome, neurobiological markers can potentially be predictors of outcome in schizophrenia. Neurological soft signs (NSS) and prefrontal cortex volumes have been described to be trait markers of schizophrenia, which can persist throughout the course of illness and are associated with a 'deficit' form of schizophrenia which has a poor outcome. 
NSS as predictor of outcome
NSS are 'soft' neurological markers of dysfunction in spheres of motor coordination, sensory integration, sequencing of complex motor acts and also includes primitive reflexes.  These have been consistently demonstrated in treated and antipsychotic naïve schizophrenia and have been described to be trait markers reflective of neuro-developmental etio-pathogenesis of schizophrenia.  NSS have been found to correlate with smaller caudate, cerebellar and dorsolateral prefrontal cortex volumes in schizophrenia.  In longitudinal 1-3 year follow-up studies NSS has been found to variably predict outcome.  Long-term prospective longitudinal studies, including multiple functional outcomes, are required to clearly understand NSS as predictors of outcome.
Neuroimaging findings as predictor of outcome
Neuroimaging studies in schizophrenia have consistently demonstrated prefrontal cortex volume, temporal lobe volume deficits in comparison to healthy controls. Milev et al. (2003)  in their study on 123 schizophrenia patients found that baseline temporal lobe gray matter volumes correlated with persistent auditory hallucinations on 5 year follow-up, however, brain volumes did not predict any outcome measures. vanHaren et al. (2003)  did not find any significant correlation between baseline gray matter volumes and outcome over a 2 year period. Prasad et al. (2005)  however, reported that baseline volumes of the dorslolateral prefrontal cortex predicted short term socio-occupational outcome at the end of 1 year but not at the end of the 2 nd year. In a study by Cahn et al. (2006)  brain volumes in first year of illness was found to predict clinical and functional outcome over a period of 5 years. In a recent study Mitelman et al. (2009)  reported progressive loss of putamen volumes in patients with poorer outcome as compared to better outcome schizophrenia over 4 year follow-up.
The above findings suggest that though biological markers such as NSS and brain volumes have been consistently demonstrated in schizophrenia; their reliability as predictors of outcome has been inconsistent. The factors contributing to this inconsistency could be manifold. (1) In most studies baseline assessments are done in first episode patients on antipsychotic treatment. It has been demonstrated that antipsychotic treatment can affect brain structure and function and may not accurately predict outcome. (2) There is wide heterogeneity in outcome measures used in previous longitudinal studies. The above studies ,,,,, have used varied outcome measures such as improvement in psychopathology scores, global assessment of functioning (GAF), strauss carpenter outcome scale (SCOS), and clinical global impression scale. In recent studies it has been demonstrated that current outcome measures do not capture real life situations and need to be multidimensional including dimensions of clinical improvement and social outcome.  Socio-functional outcome scales also need to be culturally sensitive as social occupational roles expected out of patients can be influenced by their cultural background.
Hence the aim of this study was to assess baseline dorsolateral prefrontal cortex volume and NSS in anti-psychotic naïve schizophrenia subjects and its correlation with clinical and socio-functional outcome as assessed by culturally sensitive scale validated for use in Indian population; on longitudinal follow-up. The hypothesis was that greater negative symptoms and poor socio-occupational functional outcome on follow-up will be associated with lower baseline dorsolateral prefrontal cortex volume and greater baseline NSS scores.
| Materials and Methods|| |
Study subjects were recruited from the Schizophrenia Clinic of the National Institute of Mental Health and Neurosciences, Bangalore, India. As a part of ongoing neurobiological studies on schizophrenia,  these patients had already been evaluated between 1999 and 2002 (when they were anti-psychotic-naïve) . At baseline patients meeting Diagnostic and statistical manual of mental disorders (DSM) IV criteria of schizophrenia in age range of 18-45 years, with no previous exposure to antipsychotics were recruited and assessed independently by two qualified psychiatrists through independent clinical interview. Patients with any substance dependence in the last 6 months (except nicotine), co-morbid medical or neurological illness were excluded from the study. The baseline clinical and brain structural data were available for these patients. These patients were personally contacted through two rounds of letters, telephone calls and home visits and requested to be a part of this study. Seventeen of these patients who could be contacted and gave their consent were recruited for the study. Prior to follow-up recruitment the study subjects were again reassessed for any of the exclusion criteria as described above.
At baseline clinical and demographic details were assessed using a semi structured pro-forma. Psychopathology was assessed using the positive and negative signs and symptoms scale (PANSS)  and NSS was assessed using the modified neurological evaluation scale.  Magnetic resonance imaging (MRI) was done at baseline as a part of ongoing neurobiological studies  during the period 1999-2002 when these patients were antipsychotic naive. MRI was done with Siemens 1.5 Tesla Mangetrom vision system (Erlangen, Germany) at the Department of Neuroimaging and Interventional Radiology, NIMHANS.
T1-weighted three-dimensional Magnetization-Prepared Rapid Acquisition Gradient Echo imaging was performed in the sagittal plane. (TR=9.7 ms, TE=4 ms, nutation angle=12°, FOV=250 mm, slice thickness 1 mm, NEX=1, matrix=200 × 256 scan time 6 min 12 s). A set of 160 images covering the entire brain was obtained.
On follow-up clinical, demographic and treatment details were reassessed using a semi structured pro-forma. All follow-up assessments were done by the author blind to the baseline scores. Psychopathology and NSS were reassessed using the PANSS  and modified neurological evaluation scale  respectively. The socio-occupational functioning was assessed using two scales. (1) SCOS  (2) social occupational functioning scale (SOFS).  The SOFS is a scale validated to assess socio-occupational functioning in Indian schizophrenia patients with good reliability and validity. It is a 15 item scale with each item rated from 1 (no impairment) to 5 (extreme impairment) and hence a greater score on SOFS indicates a poorer socio-occupational functioning. It covers the domains of adaptive living skills, social appropriateness and interpersonal skills. Subjects were also assessed for comorbid depression with hamilton depression rating scale (HDRS)  and for anti-psychotic related movement disorders using abnormal involuntary movement scale (AIMS)  and Simpson Agnus extrapyramidal rating scale (SAS).  Morphometric analysis of the dorsolateral prefrontal cortex was done using the Region of Interest (ROI) analysis on the available baseline MRI scans. All morphometric analysis were done by the author on coded images, blind to the status of the subjects.
Morphometric measurements were conducted blind to clinical data using MRIcro software. It is available in the public domain and can be downloaded from the internet ( http://www.sph.sc.edu/comd/rorden/mrizip.zip ). MRIcro allows efficient viewing and exporting of brain images and can be used to identify ROI's.
The dorsolateral prefrontal lobe (DLPFL) was measured as per the method described by Gilbert et al. (2001).  All measurements were done in the coronal section at a magnification of ×3. The most posterior part of the genu was located and used as the first slice in measuring the DLPFL. The boundaries of the DLPFL were then manually outlined as per the following anatomical relations [Figure 1] and [Figure 2]:
|Figure 1: Neuroanatomical boundaries of the dorsolateral prefrontal lobe at the level of genu of corpus callosum in coronal section (1) Genu of corpus callosum, (2) Superior frontal sulcus, (3) Posterior lateral fissure|
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|Figure 2: Manual tracing of boundaries of the dorsolateral prefrontal lobe|
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Ten subsequent anterior slices were traced and the volume automatically calculated as number of pixels by the MRIcro software. The same procedure was repeated for both the right and left DLPFL.
- Superior boundary: Superior frontal sulcus
- Inferior boundary: Posterior lateral fissure and horizontal ramus of the anterior lateral fissure
- Lateral border: Edge of the cerebral cortex
- Medial border: Created by connecting the deepest points on the superior frontal sulcus and the lateral fissure.
The statistical analysis was performed using the Statistical Package for Social Sciences-13.0. Paired samples t-test was used to compare baseline and follow-up scores of psychopathology and NSS. Pearson's correlation analysis was used to study correlation between DLPFL volume and scores on PANSS, NSS, SOFS and SCOS. The statistical significance was set at P<0.05 (two-tailed).
| Results|| |
Seventeen subjects who could be contacted and gave consent were recruited for the study. MRI images for analysis were available for 14 patients. The demographic and illness related variables are presented in [Table 1]. The mean duration of follow-up was 74.2±24.2 months. Patients had received antipsychotics for mean duration of 56.9±29.3 months during the course of the illness at a mean dosage of 296.1±185.2 mg/day in Chlorpromazine (CPZ) equivalents. A comparison of baseline and follow-up psychopathology and NSS scores is given in [Table 2].
|Table 1: Clinical and demographic characteristics of study subjects on follow‑up|
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On follow-up, there was a significant improvement in positive syndrome and general psychopathology scores. No change was observed in negative syndrome and NSS scores. None of the patients on follow-up qualified for depressive episode on HDRS nor had any drug induced extra pyramidal syndrome or movement disorder as assessed on SAS and AIMS; hence ruling out the possibility of the patients having any secondary negative symptoms.
Correlation analysis was performed between each of the baseline predictors of NSS sub-scores and DLPFL volumes with outcome variables of SOFS, SCOS and PANSS [Table 3]:
|Table 3: Correlation between baseline neurological soft sign, dorsolateral prefrontal lobe volume and follow‑up outcome variables (social occupational functioning scale, strauss carpenter outcome scale, neurological soft sign)|
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- Correlation between baseline NSS scores and outcome variables: There was a significant positive correlation between baseline primitive reflex score and SOFS (r=0.68, P=0.03) and follow-up negative syndrome scores (r=0.75, P=0.01)
- Correlation between baseline DLPFL and outcome variables: There was a significant negative correlation between baseline DLPFL volume and SOFS (r=−0.53, P=0.05) and follow-up negative syndrome scores (r=−0.6, P=0.02).
| Discussion|| |
To summarize, the main findings of this study were (1) There was a significant improvement in positive syndrome and general psychopathology scores however there was no change in negative syndrome score on follow-up. (2) There was no significant change in any of the NSS scores on follow-up. (3) Higher baseline primitive reflex score was associated with poorer socio occupational functioning and greater negative symptoms on follow-up (4) Smaller DLPFL volume at baseline was associated with poorer socio occupational functioning and greater negative symptoms on follow-up.
The finding of no change in negative syndrome on follow-up is consistent with our understanding of the psychopathology of schizophrenia, that positive symptoms are state related and respond well to antipsychotic treatment whereas negative symptoms are trait related and persist despite treatment.  The persistence of NSS over the course of illness and absence of any significant improvement on follow-up suggests that NSS are trait related and support the hypothesis of a neuro-developmental etio-pathogenesis of schizophrenia. ,
NSS and outcome
Earlier studies on NSS predicting outcome in schizophrenia have shown inconsistent results. Whitty et al. (2003)  found that the primitive reflexes which were considered as 'Harder' signs did not improve over a 6 month follow-up as compared to the 'softer' signs. Frontal release signs have been demonstrated to be associated with frontal lobe dysfunction on neuropsychological tests.  Hence the presence of primitive reflexes may indicate an underlying brain structural abnormality which may in turn contribute to a poorer outcome in schizophrenia.
DLPFL volume and outcome
Based on observations of correlation between negative symptoms, frontal structural abnormalities and outcome, Staal et al. (1999)  had suggested that a relationship may exist between poor outcome and frontal lobe dysfunction. Subsequent studies have not demonstrated any consistent relationship between outcome and baseline brain volumes. , Greater emphasis has been laid on progressive gray matter changes and its relationship to outcome.  Smaller baseline brain volumes have been consistently demonstrated in prodromal stages, early stages of psychosis and also in unaffected first degree relatives.  Structural brain changes are being increasingly realized as potential endophenotype markers for schizophrenia.  Hence, prediction of outcome based on baseline brain volumes prior to initiation of antipsychotics is of great clinical utility. A study by Prasad et al. (2005)  showed that the Left DLPFL volume correlated with poor outcome as measured on SCOS at the end of 1 year but not at the end of 2 years, suggesting that baseline brain volumes may predict only short but not long term outcome. Our study findings are supported by results from study by Cahn et al. (2006)  in which brain volumes in first year of illness were found to predict clinical and functional outcome over a period of 5 years. Our study demonstrates the clinical utility of baseline left DLPFL volume in predicting even long term outcome. Hence smaller baseline DLPFL volumes are associated with greater magnitude and persistence of these trait deficits (negative symptoms and NSS) which can contribute to a poorer outcome in schizophrenia.
Need for comprehensive assessment of outcome measures
Our study found that baseline Left DLPFL volume and primitive reflexes predicts outcome as measured by SOFS but not the SCOS. Previous studies ,,,, have used the SCOS, GAF scale, disability assessment schedule DAS) and quality of life scale as measures of outcome and these studies have yielded inconsistent results. The SCOS assess work, social contacts, duration of hospitalization, and absence of symptoms. Recent studies have emphasized the need for redefining outcome measures to include clinical improvement as well as social functioning.  The SOFS scale is one such scale which comprehensively assesses various domains of functioning such as Inter personal skills, social appropriateness and adaptive living skills. This study, demonstrates the importance of using comprehensive outcome measures in future prospective studies which can potentially yield consistent results.
Schizophrenia can be associated with significant disability and hence markers for prediction of outcome at baseline prior to initiation of antipsychotic treatment can be of clinical importance. In this context, our study highlights the importance of NSS as a simple bedside test in assessment of schizophrenia patients. Presence of primitive reflexes at baseline would sensitize the clinician regarding need for possible early initiation of pharmacological interventions such as clozapine and intense psychosocial rehabilitation measures.
To the best of our knowledge this is the first study from India to look at baseline biological markers as predictors of long term outcome in schizophrenia. Some of the novel aspects of this study include (1) The sample assessed was antipsychotic naïve at baseline which controlled for effect of antipsychotics on both brain structure as well as NSS. (2) Outcome measures were comprehensively assessed using standardized as well as culturally validated scales measuring both clinical as well as socio-occupational functioning. A limitation of the study is that inter rater reliability could not be established between raters who assessed subjects at baseline and on follow-up. However, all brain morphometric analysis was done using coded images with the rater being blind to the status and during clinical and NSS assessments on follow-up the rater was blind to their scores at baseline.
To conclude this study highlights that (1) Primitive reflexes and smaller DLPFL volume at baseline can predict poorer outcome on longitudinal follow-up in schizophrenia (2) NSS assessment can be a simple and useful bedside tool in assessment of schizophrenia patients (3) Comprehensive and multi-dimensional outcome measures should be used in future prospective studies which can yield more consistent results.
| Acknowledgment|| |
The author would like to acknowledge Dr. BN Gangadhar, Professor and Dr. G Venkatasubramanian, Additional Professor, Department of Psychiatry, NIMHANS, Bangalore for their mentorship during the study.
| References|| |
|1.||Kraepelin E. Dementia Praecox. Dementia Praecox and Paraphrenia. Chicago. Chicago Medical Book Co. 1919. p. 3. |
|2.||Modestin J, Huber A, Satirli E, Malti T, Hell D. Long-term course of schizophrenic illness: Bleuler's study reconsidered. Am J Psychiatry 2003;160:2202-8. |
|3.||Tsuang MT, Woolson RF, Fleming JA. Long-term outcome of major psychoses. I. Schizophrenia and affective disorders compared with psychiatrically symptom-free surgical conditions. Arch Gen Psychiatry 1979;36:1295-301. |
|4.||Thara R. Twenty-year course of schizophrenia: The Madras Longitudinal Study. Can J Psychiatry 2004;49:564-9. |
|5.||Saravanan B, Jacob KS, Johnson S, Prince M, Bhugra D, David AS. Outcome of first-episode schizophrenia in India: Longitudinal study of effect of insight and psychopathology. Br J Psychiatry 2010;196:454-9. |
|6.||Leff J, Sartorius N, Jablensky A, Korten A, Ernberg G. The International Pilot Study of Schizophrenia: Five-year follow-up findings. Psychol Med 1992;22:131-45. |
|7.||Fenton WS, McGlashan TH. Antecedents, symptom progression, and long-term outcome of the deficit syndrome in schizophrenia. Am J Psychiatry 1994;151:351-6. |
|8.||Buchanan RW, Heinrichs DW. The Neurological Evaluation Scale (NES): A structured instrument for the assessment of neurological signs in schizophrenia. Psychiatry Res 1989;27:335-50. |
|9.||Venkatasubramanian G, Latha V, Gangadhar BN, Janakiramaiah N, Subbakrishna DK, Jayakumar PN, et al. Neurological soft signs in never-treated schizophrenia. Acta Psychiatr Scand 2003;108:144-6. |
|10.||Keshavan MS, Sanders RD, Sweeney JA, Diwadkar VA, Goldstein G, Pettegrew JW, et al. Diagnostic specificity and neuroanatomical validity of neurological abnormalities in first-episode psychoses. Am J Psychiatry 2003;160:1298-304. |
|11.||Bombin I, Arango C, Buchanan RW. Significance and meaning of neurological signs in schizophrenia: Two decades later. Schizophr Bull 2005;31:962-77. |
|12.||Milev P, Ho BC, Arndt S, Nopoulos P, Andreasen NC. Initial magnetic resonance imaging volumetric brain measurements and outcome in schizophrenia: A prospective longitudinal study with 5-year follow-up. Biol Psychiatry 2003;54:608-15. |
|13.||Van Haren NE, Cahn W, Hulshoff Pol HE, Schnack HG, Caspers E, Lemstra A, et al. Brain volumes as predictor of outcome in recent-onset schizophrenia: A multi-center MRI study. Schizophr Res 2003;64:41-52. |
|14.||Prasad KM, Sahni SD, Rohm BR, Keshavan MS. Dorsolateral prefrontal cortex morphology and short-term outcome in first-episode schizophrenia. Psychiatry Res 2005;140:147-55. |
|15.||Cahn W, van Haren NE, Hulshoff Pol HE, Schnack HG, Caspers E, Laponder DA, et al. Brain volume changes in the first year of illness and 5-year outcome of schizophrenia. Br J Psychiatry 2006;189:381-2. |
|16.||Mitelman SA, Canfield EL, Chu KW, Brickman AM, Shihabuddin L, Hazlett EA, et al. Poor outcome in chronic schizophrenia is associated with progressive loss of volume of the putamen. Schizophr Res 2009;113:241-5. |
|17.||Shrivastava A, Johnston M, Shah N, Bureau Y. Redefining outcome measures in schizophrenia: Integrating social and clinical parameters. Curr Opin Psychiatry 2010;23:120-6. |
|18.||Gangadhar BN, Jayakumar PN, Subbakrishna DK, Janakiramaiah N, Keshavan MS. Basal ganglia high-energy phosphate metabolism in neuroleptic-naive patients with schizophrenia: A 31-phosphorus magnetic resonance spectroscopic study. Am J Psychiatry 2004;161:1304-6. |
|19.||Kay SR, Opler LA, Lindenmayer JP. The Positive and Negative Syndrome Scale (PANSS): Rationale and standardisation. Br J Psychiatry Suppl 1989;7:59-67. |
|20.||Strauss JS, Carpenter WT Jr. The prediction of outcome in schizophrenia. I. Characteristics of outcome. Arch Gen Psychiatry 1972;27:739-46. |
|21.||Saraswat N, Rao K, Subbakrishna DK, Gangadhar BN. The Social Occupational Functioning Scale (SOFS): A brief measure of functional status in persons with schizophrenia. Schizophr Res 2006;81:301-9. |
|22.||Hamilton M. A rating scale for depression. J Neurol Neurosurg Psychiatry 1960;23:56-62. |
|23.||ECDEU Assesment manual for psychopharmacology. In: Guy W, editor. Washington DC US department of health, education and welfare, Maryland; 1976. p. 534. |
|24.||Simpson GM, Angus JW. A rating scale for extrapyramidal side effects. Acta Psychiatr Scand Suppl 1970;212:11-9. |
|25.||Gilbert AR, Rosenberg DR, Harenski K, Spencer S, Sweeney JA, Keshavan MS. Thalamic volumes in patients with first-episode schizophrenia. Am J Psychiatry 2001;158:618-24. |
|26.||Horan WP, Blanchard JJ. Neurocognitive, social, and emotional dysfunction in deficit syndrome schizophrenia. Schizophr Res 2003;65:125-37. |
|27.||Whitty P, Clarke M, McTigue O, Browne S, Gervin M, Kamali M, et al. Diagnostic specificity and predictors of neurological soft signs in schizophrenia, bipolar disorder and other psychoses over the first 4 years of illness. Schizophr Res 2006;86:110-7. |
|28.||Hyde TM, Goldberg TE, Egan MF, Lener MC, Weinberger DR. Frontal release signs and cognition in people with schizophrenia, their siblings and healthy controls. Br J Psychiatry 2007;191:120-5. |
|29.||Staal WG, Hulshoff Pol HE, Schnack HG, van Haren NE, Seifert N, Kahn RS. Structural brain abnormalities in chronic schizophrenia at the extremes of the outcome spectrum. Am J Psychiatry 2001;158:1140-2. |
|30.||Ho BC, Andreasen NC, Nopoulos P, Arndt S, Magnotta V, Flaum M. Progressive structural brain abnormalities and their relationship to clinical outcome: A longitudinal magnetic resonance imaging study early in schizophrenia. Arch Gen Psychiatry 2003;60:585-94. |
|31.||Pantelis C, Yücel M, Wood SJ, Velakoulis D, Sun D, Berger G, et al. Structural brain imaging evidence for multiple pathological processes at different stages of brain development in schizophrenia. Schizophr Bull 2005;31:672-96. |
|32.||Keshavan MS, Prasad KM, Pearlson G. Are brain structural abnormalities useful as endophenotypes in schizophrenia? Int Rev Psychiatry 2007;19:397-406. |
Rishikesh V Behere
Department of Psychiatry, Kasturba Medical College, Manipal - 576 104, Karnataka
Source of Support: The study was supported by Indian council of medical research (ICMR) under the Financial Assistance to MD/MS/DM/MCH Thesis, Conflict of Interest: None
[Figure 1], [Figure 2]
[Table 1], [Table 2], [Table 3]
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