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Original Article Cortical folding difference between patients with early-onset and patients with intermediate-onset bipolar disorder Recent epidemiologic studies have modelled the distribution of age at onset in bipolar disorder (BD), with the aim of defining genetically more homogeneous subtypes of the illness [1, 2; see also Penttila¨ J, Cachia A, Martinot J-L, Ringuenet D, Wessa M, Houenou J, Galinowski A, Bellivier F, Gallarda T, Duchesnay E, Artiges E, Leboyer M, Olie´ J-P, Mangin J-F, Paille`re-Martinot M-L. Cortical folding difference between patients with early-onset and patients with intermediate-onset bipolar disorder. Bipolar Disord 2009: 11: 361–370. ª 2009 The Authors. Journal compilation ª 2009 Blackwell Munksgaard. Objectives: Cerebral abnormalities have been detected in patients with bipolar disorder (BD). In comparison to BD with a later onset, early- onset BD has been found to have a poorer outcome. However, it is yet unknown whether neuroanatomical abnormalities differ between age- at-onset subgroups of the illness. We searched for cortical folding differences between early-onset (before 25 years) and intermediate-onset (between 25 and 45 years) BD patients. Methods: Magnetic resonance images of 22 early-onset BD patients, 14 intermediate-onset BD patients, and 50 healthy participants were analyzed using a fully automated method to extract, label, and measure the sulcal area in the whole cortex. Cortical folding was assessed by computing global sulcal indices (the ratio between total sulcal area and total outer cortex area) for each hemisphere, and local sulcal indices for 12 predefined regions in both hemispheres. Results: Intermediate-onset BD patients had a significantly reduced local sulcal index in the right dorsolateral prefrontal cortex in comparison to both early-onset BD patients and healthy subjects, and lower global sulcal indices in both hemispheres in comparison to healthy subjects (p < 0.05, Bonferroni corrected). Brain tissue volumes did not differ between groups. Conclusions: This study provided the first evidence of a neuroanatomic difference between intermediate-onset and early-onset BD, which lends further support to the existence of different age-at-onset subgroups of BD. Jani Penttila ¨ a–d , Arnaud Cachia a–d , Jean-Luc Martinot a–d , Damien Ringuenet a–e , Miche ` le Wessa a–d,f , Josselin Houenou g,h , Andre ´ Galinowski i,j , Frank Bellivier g,h , Thierry Gallarda i,j , Edouard Duchesnay a–d,k , Eric Artiges a–d , Marion Leboyer g,h , Jean-Pierre Olie ´ i,j , Jean-Franc ¸ ois Mangin a–d,k and Marie-Laure Paille ` re-Martinot a–d,I a INSERM, U797 Research Unit Neuroimaging and Psychiatry, b CEA, U797 Research Unit Neuroimaging and Psychiatry, Hospital Department Fre ´de ´ ric Joliot and Neurospin, c Universite ´ Paris Sud, Orsay, d Universite ´ Paris Descartes, Paris, e AP-HP, Department of Psychiatry and Addictology, Paul Brousse Hospital, Villejuif, France, f Department of Cognitive and Clinical Neuroscience, University of Heidelberg, Central Institute of Mental Health, Mannheim, Germany, g AP-HP, Department of Psychiatry, Chenevier-Mondor Hospital, Cre ´ teil, h INSERM, U995, IMRB, Genetics Department, Universite ´ Paris 12, Cre ´teil, i INSERM, Physiopathologie des Maladies Psychiatriques, U894-7, Paris, j Universite ´ Paris Descartes, SHU, Department of Psychiatry, Sainte Anne Hospital, Paris, k LNAO, NeuroSpin I 2 BM, Saclay, l AP-HP, Department of Adolescent Medicine, Maison de Solenn, Cochin Hospital, Paris, France Key words: bipolar disorder – magnetic resonance imaging – neurodevelopment – neuroimaging Received 22 July 2008, revised and accepted for publication 27 October 2008 Corresponding author: Jani Penttila ¨, M.D., Ph.D. Adolescent Psychiatry Unit, Pa ¨ija ¨t-Ha ¨me Central Hospital, Vapaudenkatu 6 (5th floor), F1-15110, Lahti, Finland Fax: +358 3 819 2630 e-mail: japepe@utu.fi The authors of this paper do not have any commercial associations that might pose a conflict of interest in connection with this manu- script. Bipolar Disorders 2009: 11: 361–370 ª 2009 The Authors Journal compilation ª 2009 Blackwell Munksgaard BIPOLAR DISORDERS 361
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Cortical folding difference between patients with early-onset and patients with intermediate-onset bipolar disorder

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Page 1: Cortical folding difference between patients with early-onset and patients with intermediate-onset bipolar disorder

Original Article

Cortical folding difference between patientswith early-onset and patients withintermediate-onset bipolar disorder

Recent epidemiologic studies have modelled thedistribution of age at onset in bipolar disorder(BD), with the aim of defining genetically morehomogeneous subtypes of the illness [1, 2; see also

Penttila J, Cachia A, Martinot J-L, Ringuenet D, Wessa M, Houenou J,Galinowski A, Bellivier F, Gallarda T, Duchesnay E, Artiges E, LeboyerM, Olie J-P, Mangin J-F, Paillere-Martinot M-L. Cortical foldingdifference between patients with early-onset and patients withintermediate-onset bipolar disorder.Bipolar Disord 2009: 11: 361–370. ª 2009 The Authors.Journal compilation ª 2009 Blackwell Munksgaard.

Objectives: Cerebral abnormalities have been detected in patients withbipolar disorder (BD). In comparison to BD with a later onset, early-onset BD has been found to have a poorer outcome. However, it is yetunknown whether neuroanatomical abnormalities differ between age-at-onset subgroups of the illness. We searched for cortical foldingdifferences between early-onset (before 25 years) and intermediate-onset(between 25 and 45 years) BD patients.

Methods: Magnetic resonance images of 22 early-onset BD patients, 14intermediate-onset BD patients, and 50 healthy participants wereanalyzed using a fully automated method to extract, label, and measurethe sulcal area in the whole cortex. Cortical folding was assessed bycomputing global sulcal indices (the ratio between total sulcal area andtotal outer cortex area) for each hemisphere, and local sulcal indices for12 predefined regions in both hemispheres.

Results: Intermediate-onset BD patients had a significantly reducedlocal sulcal index in the right dorsolateral prefrontal cortex incomparison to both early-onset BD patients and healthy subjects, andlower global sulcal indices in both hemispheres in comparison to healthysubjects (p < 0.05, Bonferroni corrected). Brain tissue volumes did notdiffer between groups.

Conclusions: This study provided the first evidence of a neuroanatomicdifference between intermediate-onset and early-onset BD, which lendsfurther support to the existence of different age-at-onset subgroups ofBD.

Jani Penttilaa–d, Arnaud Cachiaa–d,Jean-Luc Martinota–d, DamienRingueneta–e, Michele Wessaa–d,f,Josselin Houenoug,h, AndreGalinowskii,j, Frank Bellivierg,h,Thierry Gallardai,j, EdouardDuchesnaya–d,k, Eric Artigesa–d,Marion Leboyerg,h, Jean-PierreOliei,j, Jean-Francois Mangina–d,k andMarie-Laure Paillere-Martinota–d,I

aINSERM, U797 Research Unit Neuroimaging and

Psychiatry, bCEA, U797 Research Unit

Neuroimaging and Psychiatry, Hospital Department

Frederic Joliot and Neurospin, cUniversite Paris Sud,

Orsay, dUniversite Paris Descartes, Paris, eAP-HP,

Department of Psychiatry and Addictology, Paul

Brousse Hospital, Villejuif, France, fDepartment of

Cognitive and Clinical Neuroscience, University of

Heidelberg, Central Institute of Mental Health,

Mannheim, Germany, gAP-HP, Department of

Psychiatry, Chenevier-Mondor Hospital, Creteil,hINSERM, U995, IMRB, Genetics Department,

Universite Paris 12, Creteil, iINSERM,

Physiopathologie des Maladies Psychiatriques,

U894-7, Paris, jUniversite Paris Descartes, SHU,

Department of Psychiatry, Sainte Anne Hospital,

Paris, kLNAO, NeuroSpin I2BM, Saclay, lAP-HP,

Department of Adolescent Medicine, Maison de

Solenn, Cochin Hospital, Paris, France

Key words: bipolar disorder – magnetic resonance

imaging – neurodevelopment – neuroimaging

Received 22 July 2008, revised and accepted for

publication 27 October 2008

Corresponding author:

Jani Penttila, M.D., Ph.D.

Adolescent Psychiatry Unit, Paijat-Hame Central

Hospital, Vapaudenkatu 6 (5th floor), F1-15110,

Lahti, Finland

Fax: +358 3 819 2630

e-mail: [email protected]

The authors of this paper do not have any commercial associations

that might pose a conflict of interest in connection with this manu-

script.

Bipolar Disorders 2009: 11: 361–370ª 2009 The Authors

Journal compilation ª 2009 Blackwell Munksgaard

BIPOLAR DISORDERS

361

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review by Leboyer et al. (3)]. In BD, age-at-onsetdistribution seems to consist of a mixture ofthree (partially overlapping) Gaussian distribu-tions, which suggests the existence of three BDsubgroups, based on age at onset (1, 2).The most commonly used definition for early-

onset BD is the beginning of clinical illness beforethe age of 25 years (1, 2, 4–7). The peak occurrenceof early-onset BD has been estimated to be around17 years (1, 2). Patients whose illness manifestsafter the age of 45 years are considered to have alate-onset form of BD (1, 2, 8). In between theseearly- and late-onset groups, there appears to be athird group, which Bellivier et al. (1, 2) havenamed the intermediate-onset group.The age-at-onset subgroups of BD have been

proposed to differ from each other with respect togenetic vulnerability factors and transmission of thedisease in families (1, 2, 5). An early onset has beenconsidered to involve a poorer outcome (9, 10) anda marked psychosocial component (11), whereasorganic factors might be more important in BDwith a later onset (12). However, it is still unknownwhether neuroanatomical abnormalities differbetween these age-at-onset subgroups of BD (3).Brain imaging studies have demonstrated BD-

associated alterations in the brain cortex structure,especially in frontal regions (13–17). Some of thesealterations may be neurodevelopmental (14), whileothers appear to develop with repeated affectiveepisodes (15). In adult-onset BD, both increased(16) and decreased (17) prefrontal cortex volumeshave been reported. In contrast, Chang et al. (18)detected no gray or white matter alterations inchildren and adolescents with BD, which gave riseto a proposition that pediatric BD might beneurobiologically distinct from adult-onset BD.In the human brain, the mature sulco-gyral

pattern is considered to result from fetal andchildhood processes that have shaped the cortexanatomy from a smooth lissencephalic structure toa highly convoluted surface (19–21). Systematicchanges in cortical folding patterns may arise fromneurodevelopmental factors, which, in turn, arethought to play an important role in the patho-genesis of bipolar illness (22). As an example,Fornito et al. (14) have recently demonstrated anearly neurodevelopmental anomaly of the anteriorcingulate cortex in patients with BD.In the current study, we aimed to find out

whether there is a link between cortical foldingsurface and the age at onset in BD patients.Therefore, we analyzed global and regional corticalfolding surfaces in early-onset (before 25 years)and intermediate-onset (between 25 and 45 years)BD patients, and in healthy participants.

Patients and methods

Participants

Thirty-six patients were recruited from consecutiveadmissions at psychiatric units of university hos-pitals in the Paris, France area. Their diagnoses(DSM-IV) (23) were established by experiencedsenior psychiatrists, using the Mini-InternationalNeuropsychiatric Interview (24). Age at onset wasdefined as the age at which the patient first met theDSM-IV criteria for a thymic episode. Age at onsetwas assessed by the interviewer and then blindlyrated by an independent psychiatrist according tomedical case notes and the Diagnostic Interviewfor Genetic Studies (25). Some of the patients alsoparticipated in a functional magnetic resonanceimaging (MRI) study, the results of which arereported elsewhere (26).Two patient subgroups were defined: the early-

onset group (onset before 25 years; n = 22) andthe intermediate-onset group (onset between 25 and45 years; n = 14). The cutoff point of 25 yearsbetween these two subgroups was based on previ-ous studies (1, 2, 4–7). The subgroups were verysimilar with respect to the sex ratio, age, handed-ness, and current and preceding mood state(s) (seeTable 1).Mood-stabilizing agents were prescribed for 10

early-onset patients (45%) and for 12 intermediate-onset patients (86%) (v2 = 5.8, p = 0.02). In theearly-onset group, 5 patients were treated withlithium (mean dose 1100 mg ⁄day), 3 with valpro-ate (mean dose 1500 mg ⁄day), 3 with carbamaze-pine, 1 with oxcarbazepine, and 1 with topiramate.In the intermediate-onset group, 6 patients weretreated with lithium (mean dose 850 mg ⁄day), 6with valproate (mean dose 1142 mg ⁄day), 1 withcarbamazepine, and 1 with lamotrigine.Antidepressants were prescribed to 8 early-onset

patients (36%) and to 5 intermediate-onset patients(36%) (v2 = 0.002, p = 0.97). In the early-onsetgroup, 2 patients were treated with citalopram(10 mg ⁄day), 1 with escitalopram (20 mg ⁄day), 1with paroxetine (20 mg ⁄day), and 4 with venlafax-ine (mean dose 188 mg ⁄day). In the intermediate-onset group, 1 patient was treated with citalopram(40 mg ⁄day) and clomipramine (225 mg ⁄day)combination, 1 with citalopram alone (60 mg ⁄day),1 with sertraline (50 mg ⁄day), 1 with venlafaxine(225 mg ⁄day), and 1 with mianserine (30 mg ⁄day).Antipsychotic medications were prescribed to 7

early-onset patients (32%) and to 4 intermediate-onset patients (29%) (v2 = 0.04, p = 0.84). In theearly-onset group, 1 patient was treated with acombination of aripiprazole (10 mg ⁄day), cloza-pine (300 mg ⁄day), and amisulpride (150 mg ⁄day),

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2 with olanzapine (2.5 mg ⁄day), 1 with risperidone(1 mg ⁄day), 1 with cyamemazine (100 mg ⁄day),and 2 with levomepromazine (20 and 50 mg ⁄day).In the intermediate-onset group, 2 patients weretreated with olanzapine (10 mg ⁄day), 1 with ris-peridone (3 mg ⁄day), and 1 with levomepromazine(50 mg ⁄day).Seven early-onset patients and two intermediate-

onset patients received no psychotropic medica-tions. At the time of the study, the patients wereeither euthymic or depressed; no manic or hypo-manic patients were enrolled. Exclusion criteriawere electroconvulsive therapy during the past sixmonths, alcohol or substance dependence ⁄abuse,any serious medical condition, or history ofneurological disorders.The comparison group comprised 50 healthy

volunteers who were recruited by word of mouth.They had no personal history of psychiatric orneurological disorder, confirmed by a medicalexamination. The healthy subjects did not statisti-cally significantly differ from patients with respectto sex ratio, age, or handedness (see Table 1 andStatistical analyses). The study was carried out inaccordance with the Declaration of Helsinki. Theprotocol was approved by the local ethics commit-tee, and, after complete description of the studies,each subject gave a written informed consent.

Image acquisition and analysis

All three-dimensional (3D) high-resolution ana-tomical images were acquired with the same 1.5Tesla General Electric Signa System scanner (GEMedical Systems, Milwaukee, WI, USA) and thesame 3D T1-weighted fast spoiled gradient-echosequence [124 contiguous slices of 1.3-mm thick-ness, field of view 24 · 24 cm, matrix 256 · 256,

voxel size: 0.94 · 0.94 · 1.3 mm; echo time(TE) = 2.2 ms, inversion time (TI) = 600 ms,repetition time (TR) = 12.5 ms, two excitations].In order to assess both overall (global) and local

cortex gyrification, the raw MRI data were sub-jected to automatized estimation of sulcus areas(27) by means of a three-step procedure. The 3Dsurface-based sulcal indices (see below) can accu-rately capture the complex shapes of the corticalfolds and they are independent of the brainorientation and the direction of slicing (27–29).This method has recently revealed sulcus abnor-malities in schizophrenia patients (28, 29).Briefly, gray matter (GM), white matter (WM),

and cerebrospinal fluid (CSF) were segmented andtheir hemispheric volumes were calculated fromnon-normalized raw MRI data, using a fullyautomatic procedure (27). The raw MRI data werethen subjected to automatized 3D cortical foldsegmentation (27). No spatial normalization wasapplied, to overcome potential bias due to thesulcus shape deformations induced by the warpingprocess (30). Cortical folds were automaticallysegmented throughout the cortex from the skeletonof the GM ⁄CSF mask, and converted to a graph-based representation of the cortex, containinginformation related to morphology (area, depth,and length) and spatial organization (relativeposition, relative orientation) (27) (see Fig. 1A).An automatic recognition algorithm labelled eachcortical fold (31).Global sulcal index (g-SI) for each hemisphere

was measured as the ratio between the total sulcalarea (sum of the areas of all segmented corticalfolds) and the outer cortex area. Hemispheric outercortex area was defined as the area of a smoothenvelope of the brain mask that wrapped aroundthe hemisphere but did not encroach into sulci.

Table 1. Demographic and clinical characteristics of the study subjects

Characteristic ⁄ sulcal indexEarly-onset bipolarpatients (n = 22)

Intermediate-onsetbipolar patients (n = 14)

Healthy subjects(n = 50)

Groupdifference

Sex ratio (male ⁄ female) 11 ⁄ 11 8 ⁄ 6 25 ⁄ 25 p = 0.89Age (years) 48 (8) 51 (7) 49 (8) p = 0.58Handedness (% right) 82% 93% 94% p = 0.11Age at illness onset (years) 19 (3), range [14–24] 36 (5), range [30–43] – p < 0.001Duration of illness (years) 30 (8) 15 (8) – p < 0.001Number of major depressive episodes 4.4 (2.1) 3.4 (2.0) – p = 0.19Number of manic episodes 2.0 (1.9) 2.0 (2.9) – p = 0.95Time since last affective episode (years) 2.5 (4.5) 3.0 (6.8) – p = 0.64Current mood state (euthymica ⁄ depressed) 13 ⁄ 9 7 ⁄ 7 – p = 0.5921-item HAM-D score 10.1 (10.7), range [0–31] 14.4 (12.8), range [0–31] – p = 0.28

Data are presented as means (SD), except for the sex ratio, handedness, mood state, and treatments. Between-group differences indemographic and clinical data were evaluated using chi-square test (sex ratio, handedness, mood state), analysis of variance (age),Wilcoxon�s test (time since last affective episode) and Student�s t-test (other clinical data).aEuthymia was defined by a 21-item Hamilton Depression Rating Scale (HAM-D) score £ 5.

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This envelope was obtained with a morphologicclosing of the brain mask (27, 32); an isotropicclosing of 5 mm was used to ensure the boundarysmoothness. The g-SI reflects the burying of thecortex (28), but it does not directly measure sulcalopening or cortical thickness as the standardgyrification index does (33, 34). A high g-SI valuedenotes highly convoluted sulci, while a low g-SIindicates a lower degree of sulcation.

Local sulcal indices (l-SIs) were computed for thesulci pooled within 12 predefined regions in eachhemisphere: dorsolateral prefrontal cortex, precen-tral cortex, medial frontal cortex, Sylvian fissure,insula, lateral temporal cortex, medial temporalcortex, parietal cortex, intraparietal sulcus, medialparieto-occipital cortex, occipital cortex, and cal-carine complex (35). The l-SI was defined as theratio between the sum of areas of the labelled sulciin the corresponding region and the total outercortex area in that hemisphere. Thus, the sum of allthe 12 l-SIs in each hemisphere is equal to the g-SIof that hemisphere.All the image processing steps were visually

checked and no gross segmentation or sulcuslabelling error was detected. Some minor segmen-tation errors (poorly defined margin between occip-ital lobes and cerebellum) were corrected manually.Automated brain segmentations and manual

corrections were performed with Brainvisa 3.1 soft-ware (freely available online at http://brainvisa.info).

Statistical analyses

Between-group differences in demographic andclinical factors were evaluated using chi-squaretest (sex ratio, handedness, mood state), analysis ofvariance (age), and Student�s t-test (other clinicalvariables). Differences in �time since last affectiveepisode� were assessed with Wilcoxon�s test as thedata were not normally distributed due to thepresence of currently depressed patients with a zerovalue (Table 1).Between-group differences in brain tissue vol-

umes and sulcal indices were assessed usingunivariate multiple regression analyses within theframework of the linear model, with group and sexas factors and age as a numeric covariate, to takeinto account the possible influence of sex and ageon cortical folding (36–39). Normal distributionassumption underlying the linear model approachwas verified by testing the normality of the linearmodel residuals (Shapiro test). When a significantmain effect of group was detected, analysis wascontinued by post hoc paired comparisons usingTukey�s HSD test with Bonferroni correction.Statistical significance was probed with F-tests inthe linear model and with t-tests in the paired posthoc analyses. In brain tissue and g-SI analyses, atwo-sided p-value < 0.05 was considered statis-tically significant. For the l-SI analyses of the12 predefined regions in each hemisphere, weperformed Bonferroni correction for multiplecomparisons, and two-tailed a level was set at0.002 (i.e., 0.05 ⁄24).

A

B

Fig. 1. (A) Sulcal morphometry method. Three-dimensionalreconstruction of a healthy subject�s right hemisphere, wherethe cortical folds (prefrontal sulci in red, other sulci in blue) areshown on a background of white matter mesh. For illustrativepurposes, gray matter ribbon has been removed. In this sub-ject, the global sulcal index (g-SI) for the right hemisphere was1.591 and the local sulcal index (l-SI) for the right dorsolateralprefrontal cortex was 0.197. (B) Local sulcal indices (l-SIs) inthe right dorsolateral prefrontal cortex in patients with early-onset or intermediate-onset bipolar disorder and in healthycomparison subjects. Circles indicate individual values andhorizontal lines indicate the averages of these raw l-SI values ineach group.

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Among patients (n = 36), we searched forpossible drug effects by adding the type of medi-cation (mood stabilizers, antipsychotics, anti-depressants, one at a time) as a factor in thelinear models, parallel with group, sex, and age. Inaddition, we computed the Pearson�s correlationcoefficient (r) between illness duration and sulcalindices.All the statistical analyses were carried out with

R 2.5 software (http://www.r-project.org), usingdedicated libraries (�car�, �effects�, and �multtest�)for the analysis of linear models with unbalanceddesign (40).

Results

The subject groups did not significantly differ fromeach other with respect to hemispheric brain tissuevolumes, even at a lower statistical threshold(p < 0.10) (Table 2).The analyses of hemispheric g-SI revealed sta-

tistically significant main group effects in left andright hemispheres (Table 3). In the post hocanalyses, patients with intermediate-onset BDshowed 5% smaller g-SI in the left hemisphere(t = )2.7, p = 0.02) and 7% smaller g-SI in theright hemisphere (t = )4.1, p < 0.001) in com-parison to healthy subjects, and 5% smaller g-SI inthe right hemisphere (t = )2.8, p = 0.02) incomparison to patients with early-onset BD.In the l-SI analyses of the 12 predefined regions

in each hemisphere, the only between-group dif-ference that was statistically significant after Bon-ferroni correction was detected in the rightdorsolateral prefrontal cortex (Table 4 andFig. 1B). In that region, the l-SI in patients withintermediate-onset BD was 16% lower than inearly-onset BD (t = )3.8, p < 0.001), and 12%

lower than in healthy subjects (t = )3.2,p = 0.006).In addition, nonsignificant group effects (uncor-

rected p < 0.05) were observed in the right medialtemporal cortex and in the right calcarine complex(Table 4). Paired post hoc comparisons showed areduced right medial temporal cortex l-SI inpatients with intermediate-onset BD, in compari-son to patients with early-onset BD ()21%,t = )2.6, p = 0.03) and to healthy subjects()20%, t = )2.8, p = 0.02). In the right calcarinecomplex, l-SI was decreased in patients with early-onset BD, in comparison to healthy subjects()30%, t = )3.1, p = 0.008).Among patients, the use of mood stabilizers,

antipsychotics, or antidepressants had no signifi-cant effect on g-SIs (p > 0.29) or dorsolateralprefrontal cortex l-SIs (p > 0.48). We found nosignificant correlation between the duration ofillness and g-SIs or dorsolateral prefrontal cortexl-SIs (r values ranged from)0.03 to 0.18, p > 0.29).

Discussion

Patients with intermediate-onset BD had adecreased global cortical folding surface (g-SI) inboth hemispheres in comparison to healthy subjects.In addition, a reduced local folding surface (l-SI) inthe right dorsolateral prefrontal cortex differen-tiated intermediate-onset BD from early-onset BD.No difference in global brain tissue volumes wasdetected between early-onset BD patients, interme-diate-onset BD patients, and healthy subjects.Several mechanisms may account for these

BD-associated alterations in cortical foldingsurface. According to the mechanic theory ofmorphogenesis, the cortical folding process whichultimately produces the mature sulco-gyral pattern

Table 2. Brain tissue volumes

VolumeEarly-onset bipolarpatients (n = 22)

Intermediate-onsetbipolar patients(n = 14)

Healthy subjects(n = 50)

Groupdifference

Total intracranial volume (cm3)

Left hemisphere 608 (47) 593 (47) 591 (47) p = 0.36Right hemisphere 608 (45) 594 (46) 590 (46) p = 0.31

Gray matter volume (cm3)

Left hemisphere 245 (23) 234 (23) 242 (23) p = 0.35Right hemisphere 244 (23) 232 (23) 241 (24) p = 0.30

White matter volume (cm3)

Left hemisphere 241 (28) 231 (28) 231 (28) p = 0.37Right hemisphere 240 (27) 231 (27) 230 (27) p = 0.34

Cerebrospinal fluid volume (cm3)

Left hemisphere 122 (21) 128 (21) 119 (22) p = 0.37Right hemisphere 123 (20) 131 (20) 120 (20) p = 0.17

Data are presented as means (SD), which are linearly adjusted on age and sex.

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Table 3. Results of global sulcal index analyses

Hemisphere

Global sulcal index (g-SI)

Group difference

Early-onsetbipolar patients(n = 22)

Intermediate-onsetbipolar patients(n = 14) Healthy subjects (n = 50)

Left 1.434 (0.091) 1.377 (0.092) 1.453 (0.091) p = 0.03a

Right 1.459 (0.084) 1.379 (0.085) 1.485 (0.084) p < 0.001b

Data are presented as means (SD), which are linearly adjusted on age and sex. Statistically significant paired post hoc comparisons:aIntermediate-onset bipolar patients versus healthy subjects (p = 0.02).bIntermediate-onset bipolar patients versus healthy subjects (p < 0.001) and early-onset versus intermediate-onset bipolar patients(p = 0.02).

Table 4. Results of local sulcal index analyses

Region

Local sulcal index (l-SI)

Group differenceEarly-onset bipolarpatients (n = 22)

Intermediate-onset bipolarpatients (n = 14)

Healthy subjects(n = 50)

Dorsolateral prefrontal cortex

L 0.178 (0.020) 0.167 (0.020) 0.179 (0.020) p = 0.16R 0.188 (0.023) 0.158 (0.023) 0.180 (0.023) p = 0.001a

Precentral cortexL 0.061 (0.016) 0.060 (0.016) 0.058 (0.016) p = 0.79R 0.069 (0.015) 0.069 (0.015) 0.069 (0.015) p = 0.99

Medial frontal cortexL 0.120 (0.017) 0.122 (0.017) 0.118 (0.017) p = 0.71R 0.128 (0.019) 0.124 (0.019) 0.127 (0.019) p = 0.77

Sylvian fissureL 0.139 (0.023) 0.138 (0.023) 0.149 (0.023) p = 0.12R 0.144 (0.018) 0.142 (0.018) 0.151 (0.018) p = 0.11

InsulaL 0.072 (0.019) 0.062 (0.019) 0.068 (0.019) p = 0.32R 0.065 (0.015) 0.059 (0.015) 0.064 (0.015) p = 0.49

Lateral temporal cortexL 0.178 (0.026) 0.179 (0.027) 0.182 (0.026) p = 0.83R 0.193 (0.028) 0.183 (0.028) 0.184 (0.028) p = 0.43

Medial temporal cortex

L 0.093 (0.028) 0.101 (0.029) 0.103 (0.028) p = 0.40R 0.091 (0.021) 0.072 (0.021) 0.090 (0.021) p = 0.02

Parietal cortexL 0.035 (0.012) 0.034 (0.012) 0.032 (0.012) p = 0.53R 0.028 (0.012) 0.026 (0.012) 0.030 (0.012) p = 0.58

Intraparietal sulcusL 0.130 (0.021) 0.117 (0.021) 0.129 (0.021) p = 0.14R 0.129 (0.024) 0.130 (0.024) 0.133 (0.024) p = 0.76

Medial parieto-occipital cortexL 0.069 (0.016) 0.071 (0.016) 0.074 (0.016) p = 0.50R 0.090 (0.016) 0.080 (0.016) 0.090 (0.016) p = 0.15

Occipital cortexL 0.056 (0.024) 0.054 (0.024) 0.055 (0.024) p = 0.97R 0.071 (0.020) 0.072 (0.020) 0.068 (0.020) p = 0.68

Calcarine complex

L 0.042 (0.015) 0.048 (0.015) 0.049 (0.015) p = 0.17R 0.036 (0.020) 0.045 (0.020) 0.052 (0.020) p = 0.01

Data are presented as means (SD), which are linearly adjusted on age and sex. L = left; R = right.Bold font indicates the regions where (uncorrected) p was less than 0.05 for the main effect of group.aRight dorsolateral prefrontal cortex was the only region where the main effect of group reached statistical significance after Bonferronicorrection for multiple comparisons (two-tailed a was set at 0.002, i.e., 0.05 ⁄ 24).

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is mediated by forces that stem from GM thicknessand WM connectivity (20, 41–43). It has also beensuggested that an increase in the number ofneurons results in surface expansion, rather thanin a thicker cortex (44–46). This mechanism mightbe consistent with our observations of g-SI reduc-tions without statistically significant alterations inhemispheric GM volumes.Based on epidemiological data on age at onset,

Bellivier et al. (1, 2) have divided BD into early-onset, intermediate-onset, and late-onset sub-groups. To our knowledge, our present study isthe first to describe a neuroanatomic differencebetween intermediate-onset and early-onset BD.Separate investigation of these subgroups mayreduce the underlying genetic heterogeneity (3, 47),as each of these subgroups may have specificvulnerability factors (2). Interestingly, it was notthe early-onset but the intermediate-onset BDgroup which showed significant sulcal alterationsin comparison to healthy controls. This finding is,however, in line with the proposed role of organicfactors in BD with a later onset (12, 48). Early-onset BD that begins in adolescence or in earlyadulthood has been suggested to be more depend-ent on psychosocial factors (12, 18), but somestudies have also described early abnormalities inlimbic structures in these patients (49).Localization of the cortical folding alteration to

prefrontal area is consistent with previous studiesthat have demonstrated prefrontal GM and WMdeviations in BD (16, 17, 50). BD-associated WMhyperintensities have been reported especially inthe right fronto-parietal area (50). Patients withBD have also shown abnormal prefrontal activa-tion asymmetry in electroencephalography (51).We also observed a similar trend of l-SI reduc-

tion in intermediate-onset BD in the right medialtemporal cortex. This finding is in line withprevious reports that patients with BD may expe-rience a progressive GM loss in medial temporallobe structures, the hippocampus, and the fusiformgyrus (52, 53).In addition to early developmental factors, later

neurodegenerative processes may also contributeto the pathophysiology of BD (13). From thispoint of view, the reduced sulcal indices in theintermediate-onset BD patients might reflect amore severe form of illness (in fact, these patientshad had a similar number of episodes in 15 years asthe early-onset patients had had in 30 years, cf.Table 1). Nevertheless, we consider it unlikely thatthe sulcal index reductions in intermediate-onsetBD patients could merely be explained by neuro-degeneration, since we found no correlation withBD duration, and the number of affective episodes

and gap between last episode and scanning werevery similar in both groups (Table 1).

Methodological issues

Cortex gyrification was assessed by 3D analysis ofcortical folds, which revealed new findings thatwould have been difficult to detect by mere visualinspection (cf. Fig. 1A) or by using planimetryindices based on a two-dimensional approach (54).A fully automated method is thought to be morereliable and less time consuming than manualanalysis (54), which makes it applicable to largedatabases. Sulcus-based morphometry can provideinformation on cortical surface anatomy in affec-tive disorders, which complements the reporteddeviations in local brain tissue volume (17), corticalthickness (55), and WM connectivity (56). Thedefinition of g-SI and l-SI does not depend onsulcus opening or thickness. In addition, ourmethod is original in using the skeleton of theGM ⁄CSF mask, with the cortical folds corre-sponding to the crevasse bottoms of the �land-scape�, the altitude of which is defined by intensityon MRI (27). This definition is supposed toprovide a stable sulcus localization that is notaffected by variation in the GM ⁄WM contrast dueto, e.g., age-related changes in regional vasculari-sation or intra-cortical myelination (57, 58). More-over, the present g-SIs and l-SIs can be used toinvestigate both hemispheric and local gyrification,while the previous indices were limited to MRIslices.It is possible that slight between-group differ-

ences in brain tissue volumes may have remainedundetected in this study because of statistical powerissues (n = 14 in the intermediate-onset group). Incomparison to hemispheric volume measurements,g-SI may be more sensitive in detecting subtlecortical alterations. As described in the statisticalmethods, the unbalanced design (i.e., the unequalnumber of participants in the three subject groups)was taken into account in the estimation of thelinear model parameters, and thus it is notsupposed to have biased the analyses (40).

Limitations

Gender (36, 38) and age (37, 39) have beenreported to have an effect on sulcal anatomy.Thus, we matched the study subject groups withrespect to age and sex ratio, and we used age andsex as covariates in the statistical analyses, tominimize these effects. Therefore, it is assumed thatage and sex should not have any marked influenceson the main findings.

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Due to the cross-sectional design of this study,the sulcal index changes cannot be ascribed specif-ically to developmental factors or to tissue loss.In addition, previous brain imaging studies haveshown that lithium (59, 60) and valproate (61) mayproduce measurable increases in regional GMvolumes, which may reflect a neurotrophic effect.If the reduced sulcal indices in the intermediate-onset BD patients were caused by illness-associatedneurodegeneration (13), then the lack of sulcalindex reductions in the early-onset group couldpossibly be explained by a longer duration ofillness and, correspondingly, a longer duration ofmood-stabilizing treatments and their neurotroph-ic effects, which may have counteracted neuro-degenerative processes in this group. However, thisexplanation is unlikely, because the proportion ofpatients receiving mood-stabilizing medicationswas twice as high as in the intermediate-onsetgroup (86% versus 45%).The late-onset form of BD in particular has been

associated with WM hyperintensities (62). Accord-ing to Gulseren et al. (50), these hyperintensitiesmay be particularly frequent in the right fronto-parietal area. However, as we did not acquirefluid-attenuated inversion recovery MRIs fromour subjects, we cannot further evaluate thepossible role of WM hyperintensities behind thereduced right dorsolateral prefrontal cortex l-SI inintermediate-onset BD.The brain abnormalities that we detected in the

intermediate-onset BD subgroup could be relatedto the apparent greater severity of the clinicalcourse in these patients, since they had twice asmany episodes as the patients in the early-onsetgroup. It could be speculated that within theintermediate-onset group, some patients mightpresent with a more severe form of the disease.Indeed, as a complementary analysis, we found anegative association (t = )2.2, p = 0.03) betweenthe right dorsolateral prefrontal cortex l-SI and theepisode frequency (total number of manic ordepressive episodes divided by illness duration)using a linear model with episode frequency andage as numeric covariates and gender as factor.

Conclusions

Even though there is no consensus of the interpre-tation of sulcal deviations, our results provide thefirst evidence of a neuroanatomic differencebetween intermediate-onset and early-onset BD,which lends further support to the existence ofdifferent subgroups of BD. The finding thatpatients with intermediate-onset (instead of early-onset) BD showed reduced sulcal indices is in line

with the presumed role of organic factors in BDwith a later onset.

Acknowledgements

This study was supported in part by grants from the FrenchNational Agency for Research (ANP Neurosciences 2005;Psymarker project) and from the Programme Hospitalier deRecherche Clinique, Delegation a la Recherche Clinique del�Assistance Publique-Hopitaux de Paris and the HealthMinistry of France (PHRC ⁄AOM-98099). JP received per-sonal grants from the Finnish Cultural Foundation and theSigrid Juselius Foundation, Finland. AC received post-doc-toral grants from the INSERM. DR was supported by theFondation pour la Recherche Medicale and by the AtomicEnergy Commission of France. MW was supported by a grantfrom the Deutsche Forschungsgemeinschaft, Germany(We3638 ⁄ 1-1). JH was supported by a grant from the FrenchNational Academy of Medicine. MLPM was supported byan APHP-INSERM interface grant and an INSERM-PROGRESS grant.We acknowledge Dr. Pascale Bruguiere for her support.

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