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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PLoS ONE</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosone</journal-id><journal-title-group>
<journal-title>PLoS ONE</journal-title></journal-title-group>
<issn pub-type="epub">1932-6203</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, USA</publisher-loc></publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">PONE-D-12-39988</article-id>
<article-id pub-id-type="doi">10.1371/journal.pone.0063023</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biology</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Neurochemistry</subject><subj-group><subject>Neurochemicals</subject><subj-group><subject>Dopamine</subject></subj-group></subj-group></subj-group><subj-group><subject>Neuroimaging</subject><subj-group><subject>PET</subject></subj-group></subj-group><subj-group><subject>Neurotransmitters</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine</subject><subj-group><subject>Mental health</subject><subj-group><subject>Psychiatry</subject><subj-group><subject>Neuropsychiatric disorders</subject></subj-group></subj-group><subj-group><subject>Psychology</subject><subj-group><subject>Developmental psychology</subject></subj-group></subj-group></subj-group><subj-group><subject>Radiology</subject><subj-group><subject>Nuclear medicine</subject><subj-group><subject>PET imaging</subject><subject>Radionuclide imaging</subject></subj-group></subj-group></subj-group></subj-group></article-categories>
<title-group>
<article-title>Long-Term Stimulant Treatment Affects Brain Dopamine Transporter Level in Patients with Attention Deficit Hyperactive Disorder</article-title>
<alt-title alt-title-type="running-head">Brain Dopamine Transporter Changes in ADHD</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname><given-names>Gene-Jack</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Volkow</surname><given-names>Nora D.</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wigal</surname><given-names>Timothy</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kollins</surname><given-names>Scott H.</given-names></name><xref ref-type="aff" rid="aff7"><sup>7</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Newcorn</surname><given-names>Jeffrey H.</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Telang</surname><given-names>Frank</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Logan</surname><given-names>Jean</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jayne</surname><given-names>Millard</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wong</surname><given-names>Christopher T.</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Han</surname><given-names>Hao</given-names></name><xref ref-type="aff" rid="aff8"><sup>8</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fowler</surname><given-names>Joanna S.</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhu</surname><given-names>Wei</given-names></name><xref ref-type="aff" rid="aff8"><sup>8</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Swanson</surname><given-names>James M.</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib>
</contrib-group>
<aff id="aff1"><label>1</label><addr-line>Department of Radiology, Stony Brook University, Stony Brook, New York, United States of America</addr-line></aff>
<aff id="aff2"><label>2</label><addr-line>Bioscience Department, Brookhaven National Laboratory, Upton, New York, United States of America</addr-line></aff>
<aff id="aff3"><label>3</label><addr-line>Department of Psychiatry, Mount Sinai School of Medicine, New York, New York, United States of America</addr-line></aff>
<aff id="aff4"><label>4</label><addr-line>National Institute on Drug Abuse, Bethesda, Maryland, United States of America</addr-line></aff>
<aff id="aff5"><label>5</label><addr-line>Neuroimaging Lab, National Institute on Alcohol Abuse and Alcoholism Intramural Research Program, Upton, New York, United States of America</addr-line></aff>
<aff id="aff6"><label>6</label><addr-line>Department of Pediatrics, University of California Irvine, Irvine, California, United States of America</addr-line></aff>
<aff id="aff7"><label>7</label><addr-line>Department of Psychiatry, Duke University, Durham, North Carolina, United States of America</addr-line></aff>
<aff id="aff8"><label>8</label><addr-line>Department of Mathematics and Applied Sciences, Stony Brook University, Stony Brook, New York, United States of America</addr-line></aff>
<contrib-group>
<contrib contrib-type="editor" xlink:type="simple"><name name-style="western"><surname>Boraud</surname><given-names>Thomas</given-names></name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"/></contrib>
</contrib-group>
<aff id="edit1"><addr-line>Centre national de la recherche scientifique, France</addr-line></aff>
<author-notes>
<corresp id="cor1">* E-mail: <email xlink:type="simple">gjwang@bnl.gov</email></corresp>
<fn fn-type="conflict"><p>Dr. GJW received research funding from the Orexigen Therapeutics Inc.; Dr. NDV reports no competing interests; Dr. TW reports no competing interests; Dr. SHK reports no competing interests; Dr. JHN reports no competing interests; Dr. FT reports no competing interests; Dr. JL reports no competing interests; Mr. MJ reports no competing interests; Mr. CTW reports no competing interests; Mr. HH reports no competing interests; Dr. JSF reports no competing interests; Dr. WZ reports no competing interests; Dr. JMS reports no competing interests. This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials.</p></fn>
<fn fn-type="con"><p>Conceived and designed the experiments: GJW NDV JMS. Performed the experiments: GJW TW SHK JHN FT MJ. Analyzed the data: GJW NDV JL CTW HH WZ. Contributed reagents/materials/analysis tools: JSF. Wrote the paper: GJW NDV JMS.</p></fn>
</author-notes>
<pub-date pub-type="collection"><year>2013</year></pub-date>
<pub-date pub-type="epub"><day>15</day><month>5</month><year>2013</year></pub-date>
<volume>8</volume>
<issue>5</issue>
<elocation-id>e63023</elocation-id>
<history>
<date date-type="received"><day>15</day><month>12</month><year>2012</year></date>
<date date-type="accepted"><day>27</day><month>3</month><year>2013</year></date>
</history>
<permissions>
<copyright-year>2013</copyright-year>
<copyright-holder>Wang et al</copyright-holder><license xlink:type="simple"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license></permissions>
<abstract><sec>
<title>Objective</title>
<p>Brain dopamine dysfunction in attention deficit/hyperactivity disorder (ADHD) could explain why stimulant medications, which increase dopamine signaling, are therapeutically beneficial. However while the acute increases in dopamine induced by stimulant medications have been associated with symptom improvement in ADHD the chronic effects have not been investigated.</p>
</sec><sec>
<title>Method</title>
<p>We used positron emission tomography and [<sup>11</sup>C]cocaine (dopamine transporter radioligand) to measure dopamine transporter availability in the brains of 18 never-medicated adult ADHD subjects prior to and after 12 months of treatment with methylphenidate and in 11 controls who were also scanned twice at 12 months interval but without stimulant medication. Dopamine transporter availability was quantified as non-displaceable binding potential using a kinetic model for reversible ligands.</p>
</sec><sec>
<title>Results</title>
<p>Twelve months of methylphenidate treatment increased striatal dopamine transporter availability in ADHD (caudate, putamen and ventral striatum: +24%, p&lt;0.01); whereas there were no changes in control subjects retested at 12-month interval. Comparisons between controls and ADHD participants revealed no significant difference in dopamine transporter availability prior to treatment but showed higher dopamine transporter availability in ADHD participants than control after long-term treatment (caudate: p&lt;0.007; putamen: p&lt;0.005).</p>
</sec><sec>
<title>Conclusion</title>
<p>Upregulation of dopamine transporter availability during long-term treatment with methylphenidate may decrease treatment efficacy and exacerbate symptoms while not under the effects of the medication. Our findings also suggest that the discrepancies in the literature regarding dopamine transporter availability in ADHD participants (some studies reporting increases, other no changes and other decreases) may reflect, in part, differences in treatment histories.</p>
</sec></abstract>
<funding-group><funding-statement>The work was supported by the National Institutes of Health: R01MH66961 to Dr. GJW. The PET study was carried out at Brookhaven National Laboratory with infrastructure support from the U.S. Department of Energy Office of Biological and Environmental Research (DE-ACO2-76CH00016), M01RR10710 (the General Clinical Research Center of Stony Brook University). An Intramural Research Program of the National Institute on Alcohol Abuse and Alcoholism (Z01AA000550) supported Drs. NDV and FT and Mr. MJ. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement></funding-group><counts><page-count count="6"/></counts></article-meta>
</front>
<body><sec id="s1">
<title>Introduction</title>
<p>Attention deficit/hyperactivity disorder (ADHD) is considered to be the most prevalent psychiatric disorder of childhood and its increasingly being recognized in adults too. The disorder is often chronic, with prominent symptoms (inattention, hyperactivity/impulsivity and motivation deficits) and impairment frequently continuing into adulthood. Deficits in dopamine (DA) neurotransmission have been associated with the disorder <xref ref-type="bibr" rid="pone.0063023-DelCampo1">[1]</xref>. In adults, as with youth, stimulant medications (methylphenidate (MPH) or amphetamine), which enhance DA signaling have been used for decades as a first line treatment option <xref ref-type="bibr" rid="pone.0063023-Swanson1">[2]</xref>. MPH acutely enhances DA signaling by blocking the dopamine transporter (DAT), which is the main mechanism by which DA signals are terminated <xref ref-type="bibr" rid="pone.0063023-DelCampo1">[1]</xref>. However, while the acute DA enhancing effects of MPH have been associated with symptom improvement in children <xref ref-type="bibr" rid="pone.0063023-RosaNeto1">[3]</xref> and adults <xref ref-type="bibr" rid="pone.0063023-Volkow1">[4]</xref> with ADHD very little work has been done to evaluate its chronic effects in brain DA signaling. Inasmuch as DAT appear to adapt to the levels of synaptic DA (downregulating when DA is low and upregulating when DA is high), we hypothesized that chronic MPH treatment would result in upregulation of DAT.</p>
<p>To test this hypothesis, we conducted a Positron Emission Tomography (PET) study using [<sup>11</sup>C]cocaine in 18 stimulant-naïve adult patients with ADHD whom we scanned before and after 1 year of clinical treatment with MPH. The retest PET scan was conducted 24 hours after the last clinical MPH dose to ensure that the acute occupancy of DAT would have dissipated. In parallel we also measured DAT availability in 11 healthy controls at baseline and 12 months later with no intervening medication treatment. We hypothesized that long-term MPH treatment would upregulate DAT availability in the brain in response to stimulant-induced elevations in synaptic DA whereas there would be no changes in DAT availability in controls tested at a 12-month interval.</p>
</sec><sec id="s2" sec-type="methods">
<title>Methods</title>
<sec id="s2a">
<title>Subjects</title>
<p>This study was carried out at Brookhaven National Laboratory (BNL) and approved by the local Institutional Review Board (IRB) of record: Committee on Research Involving Human Subjects (CORIHS) of Stony Brook University; Study #: IRBnet: 88634; CORIHS ID: 20055906; BNL IRB#390) under CORIHS' federal wide assurance (FWA) #00000125 and BNL's FWA #00000149; Mount Sinai School of Medicine's (MSSM) IRB #02-0123 under FWA #00005686; University of California at Irvine's (UCI) IRB # 2005-4659 under FWA #00004071; and Duke University IRB #8316-06-3RO under FWA #00009025. Written informed consent was obtained from all participants who came to BNL for imaging studies as well as from their referral institutions after the nature of the experiment was fully explained. A Certificate of Confidentiality (COC) #MH-04-170 has been obtained from the funding institution, the National Institute of Mental Health, to protect subject confidentiality from disclosure. The COC covers subjects at all institutions. Full characteristics of the subjects have been described previously <xref ref-type="bibr" rid="pone.0063023-Volkow2">[5]</xref>, so only a summary will be presented here. We completed assessments in 18 never medicated adult ADHD subjects (6M, 12F) and 11 adult healthy controls (9M, 2F) matched for age, socioeconomic status and education (<xref ref-type="table" rid="pone-0063023-t001">Table 1</xref>). ADHD subjects were recruited from a variety of sources, including clinical referrals to the ADHD programs at MSSM, Duke University and UCI. At least two clinicians interviewed the patients to ensure that they met DSM-IV diagnostic criteria for ADHD, as evidenced by the presence of at least 6 of 9 inattention symptoms (with or without 6 of 9 hyperactive/impulsive symptoms) as ascertained with a semi-structured interview using DSM-IV criteria. In addition, evidence was required from each subject's history that some symptoms of ADHD were present in childhood (before age seven) even when the diagnosis was not made until adulthood. Subjects were excluded if they had a prior history of more than three months of medication treatment for ADHD and excluded if this short treatment occurred within the 6 months prior to the study. They were also excluded it they had a present or past history of substance abuse or addiction (except nicotine). Smoking status was assessed with self-report and in our final sample only one of the controls and one of the ADHD subjects were smokers. Exclusion criteria also included present or past history of psychiatric disease (axis I or II diagnosis other than ADHD), or neurological disease, medical conditions that may alter cerebral function (i.e. cardiovascular, endocrinological, oncological or autoimmune diseases), current use of prescribed or over the counter medications, and/or head trauma with loss of consciousness of more than 30 minutes. All subjects had Hamilton Anxiety <xref ref-type="bibr" rid="pone.0063023-Hamilton1">[6]</xref> and Hamilton Depression <xref ref-type="bibr" rid="pone.0063023-Hamilton2">[7]</xref> scores &lt;19. Control subjects were recruited from advertisements in the local newspapers; exclusion criteria other than allowance for ADHD were the same as for ADHD subjects. Urine drug screens were obtained on all subjects the day of the PET scan to check for psychoactive drug use. Written informed consent was obtained after complete description of the study to the subjects.</p>
<table-wrap id="pone-0063023-t001" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0063023.t001</object-id><label>Table 1</label><caption>
<title>Clinical characteristics of control subjects and ADHD subjects.</title>
</caption><alternatives><graphic id="pone-0063023-t001-1" position="float" mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0063023.t001" xlink:type="simple"/>
<table><colgroup span="1"><col align="left" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/></colgroup>
<thead>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">ADHD</td>
<td align="left" rowspan="1" colspan="1">Control</td>
<td align="left" rowspan="1" colspan="1"><italic>P</italic> Value</td>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Sex</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Women</td>
<td align="left" rowspan="1" colspan="1">12</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Men</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">9</td>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Age, mean (SD), years</td>
<td align="left" rowspan="1" colspan="1">30.9 (9)</td>
<td align="left" rowspan="1" colspan="1">33.2 (6)</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Ethnic (A, B, C, H, M)</td>
<td align="left" rowspan="1" colspan="1">2, 1, 11, 1, 3</td>
<td align="left" rowspan="1" colspan="1">0, 1, 9, 0, 1</td>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Body mass index</td>
<td align="left" rowspan="1" colspan="1">25 (6)</td>
<td align="left" rowspan="1" colspan="1">25 (3)</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Education, mean (SD), year</td>
<td align="left" rowspan="1" colspan="1">15.9 (2.7)</td>
<td align="left" rowspan="1" colspan="1">15.3 (2.2)</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
</tbody>
</table>
</alternatives><table-wrap-foot><fn id="nt101"><p>*Ethnic (A: Asian, B: African American, C: Caucasian American, H: Hispanic American, M: More than one race).</p></fn><fn id="nt102"><p>*NS: not significant.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s2b">
<title>Clinical Scales</title>
<p>We measured clinical symptoms using the Conners Adult Attention Rating Scale (CAARS) long version <xref ref-type="bibr" rid="pone.0063023-Conners1">[8]</xref>, which provides self-assessment of ADHD symptoms on a 0 (very minimal) to 3 (very much) point scale and with the Strengths &amp; Weaknesses of ADHD Symptoms &amp; Normal-Behaviors (SWAN) <xref ref-type="bibr" rid="pone.0063023-Swanson2">[9]</xref>.</p>
</sec><sec id="s2c">
<title>Study Design</title>
<p>For the 18 ADHD patients, we provided clinical treatment with MPH for 1 year, and then conducted another PET study with [<sup>11</sup>C]cocaine evaluation of DAT availability in these 18 patients as well as 11 of the controls (without medication). The mean total daily dose used of MPH was in the vicinity of 1 mg/kg or its equivalent in long acting dose form. Progress of treatment was followed sequentially using the CAARS and the Swanson Nolan and Pelham ADHD scale <xref ref-type="bibr" rid="pone.0063023-Pliszka1">[10]</xref>. We also used the SWAN to monitor the improvement of behavior. Subjects were rated using the clinical global impressions scale (CGI)- severity and the CGI- improvement at each medication visit. Subjects were titrated in open fashion during weekly medication visits until they reached optimal response and dose was stabilized. Following that, visits were monthly. The follow up PET imaging was conducted 24 hours after the last clinical dose of MPH to ensure that the acute occupancy of DAT would have dissipated and the estimated density of DAT would be uncontaminated by the pharmacologic effect of MPH at its primary site of action. Plasma MP concentration were measured prior to the PET scan to ensure that detectable levels were not present, which was the case for all of the ADHD participants.</p>
</sec><sec id="s2d">
<title>PET Imaging</title>
<p>PET studies were conducted with a Siemens HR+ tomograph (resolution 4.5×4.5×4.5 mm full width half-maximum) in 3D mode. Dynamic scans were started immediately after injection of 4–10 mCi of [<sup>11</sup>C]cocaine (specific activity 0.5–1.5 Ci/µM at end of bombardment). Dynamic scans were obtained for a total of 60 minutes as previously described <xref ref-type="bibr" rid="pone.0063023-Volkow3">[11]</xref>. Arterial blood was obtained throughout the procedure to measure the concentration of unchanged [<sup>11</sup>C]cocaine in plasma for quantification of DAT availability <xref ref-type="bibr" rid="pone.0063023-Alexoff1">[12]</xref>.</p>
</sec><sec id="s2e">
<title>Data Analysis</title>
<p>Regions of interest analysis in striatum (caudate, putamen, ventral striatum) and in cerebellum were drawn directly on an averaged emission image (summation of images obtained between 10 to 60 minutes for [<sup>11</sup>C]cocaine) <xref ref-type="bibr" rid="pone.0063023-Volkow3">[11]</xref>. Regions of interest for striatum were obtained bilaterally from the planes where they were best identified (2 slices). Right and left cerebellar (2 slices) regions were obtained in the two planes 1.0 and 1.7 cm above the canthomeatal line. These regions were then projected into the dynamic images to generate time activity curves for striatum and cerebellum. Average values for the striatal and cerebellar regions were computed from the different slices where the regions were obtained. The time activity curves for tissue concentration along with the time activity curves for unchanged tracer in plasma were used to calculate the distribution volume (ml/gm) and the blood to tissue transport constant (K<sub>1</sub>) in striatum and cerebellum using a graphical analyses technique for reversible systems (Logan Plots) <xref ref-type="bibr" rid="pone.0063023-Logan1">[13]</xref>. The measure of binding potential (BP<sub>ND</sub>), obtained as the ratio of the distribution volume in striatum to that in cerebellum minus 1, was used to quantify the DAT availability, that is the number of transporters that are free to bind to the radiotracer. These measurements are insensitive to changes in body weight.</p>
</sec><sec id="s2f">
<title>Statistical Analysis</title>
<p>Differences in DAT availability (BP<sub>ND</sub>) for each striatal regions (caudate, putamen, ventral striatum) were evaluated using a repeated (baseline vs. follow-up scan) ANOVA for the comparison between repeated scans within the control or the ADHD group. One between subject factor (group) and one between subject factor (baseline vs. follow-up scan) ANOVA was used for the group comparison (ADHD vs. controls) on changes in DAT (baseline vs. follow-up scan). Differences between the baseline and the follow-up scan are expressed as percent change in BP<sub>ND</sub> from baseline. The significance level was set at <italic>p</italic>&lt;0.017 after Bonferroni correction (3 regions).</p>
</sec></sec><sec id="s3">
<title>Results</title>
<p>The ADHD subjects and control subjects are similar in age and socioeconomic background (<xref ref-type="table" rid="pone-0063023-t001">Table 1</xref>). Prior to MPH treatment, each of the following CAARS subscale scores was higher for ADHD subjects than controls: A. Inattention/memory problems; B. Hyperactivity/Restlessness; C. Impulsivity/Emotional liability; D. problems with self concept; E. DSM-IV Inattentive symptoms; E. DSM-IV Hyperactive-impulsive symptoms, G. DSM-IV ADHD total symptom; H. ADHD index. The scores on inattention from the SWAN scale were higher for ADHD participants than for controls (<xref ref-type="table" rid="pone-0063023-t002">Table 2</xref>). During treatment, all the CAARS subscales and the SWAN scores obtained while on medication within the week prior to the PET scan were significantly improved for the ADHD subjects (<xref ref-type="table" rid="pone-0063023-t001">Table 1</xref>). Moreover, except for impulsivity (p&lt;0.02) and inattention (p&lt;0.04), most of the scores for the ADHD subjects while on medication were not significantly different from that of controls.</p>
<table-wrap id="pone-0063023-t002" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0063023.t002</object-id><label>Table 2</label><caption>
<title>Attention rating scales of control subjects in baseline (BL) and in 12 months follow-up (FU) and ADHD subjects prior to (BL) and after 12 months oral methylphenidate treatment (FU).</title>
</caption><alternatives><graphic id="pone-0063023-t002-2" position="float" mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0063023.t002" xlink:type="simple"/>
<table><colgroup span="1"><col align="left" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/></colgroup>
<thead>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td colspan="2" align="left" rowspan="1">ADHD(n = 18)</td>
<td align="left" rowspan="1" colspan="1"><italic>P</italic> Value</td>
<td align="left" rowspan="1" colspan="1">Control(n = 11)</td>
<td align="left" rowspan="1" colspan="1"><italic>P</italic> Value</td>
<td align="left" rowspan="1" colspan="1"><italic>P</italic> Value</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">BL</td>
<td align="left" rowspan="1" colspan="1">FU</td>
<td align="left" rowspan="1" colspan="1">BL vs. FU</td>
<td align="left" rowspan="1" colspan="1">BL</td>
<td align="left" rowspan="1" colspan="1">ADHD-BL vs. Control</td>
<td align="left" rowspan="1" colspan="1">ADHD-FU vs. Control</td>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">CARRS mean (SD)</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Inattention</td>
<td align="left" rowspan="1" colspan="1">26 (6)</td>
<td align="left" rowspan="1" colspan="1">11 (8)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">6 (5)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Hyperactive/restless</td>
<td align="left" rowspan="1" colspan="1">23 (9)</td>
<td align="left" rowspan="1" colspan="1">8 (7)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">7 (4)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Impulsivity</td>
<td align="left" rowspan="1" colspan="1">20 (7)</td>
<td align="left" rowspan="1" colspan="1">8 (7)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">4 (3)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">0.02</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Self-concept</td>
<td align="left" rowspan="1" colspan="1">9 (4)</td>
<td align="left" rowspan="1" colspan="1">4 (4)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">4 (3)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">DSM-IV Inattentive</td>
<td align="left" rowspan="1" colspan="1">20 (4)</td>
<td align="left" rowspan="1" colspan="1">7 (5)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">4 (4)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">0.04</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">DSM-IV Hyperactive</td>
<td align="left" rowspan="1" colspan="1">16 (5)</td>
<td align="left" rowspan="1" colspan="1">6 (4)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">4 (4)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Total symptoms</td>
<td align="left" rowspan="1" colspan="1">36 (6)</td>
<td align="left" rowspan="1" colspan="1">13 (8)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">6 (7)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">ADHD index</td>
<td align="left" rowspan="1" colspan="1">21 (4)</td>
<td align="left" rowspan="1" colspan="1">9 (7)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">4 (4)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">SWAN mean (SD)</td>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Inattentive</td>
<td align="left" rowspan="1" colspan="1">2.2 (0.9)</td>
<td align="left" rowspan="1" colspan="1">0.6 (0.5)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">0.5 (0.5)</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Hyperactive</td>
<td align="left" rowspan="1" colspan="1">0.6 (0.9)</td>
<td align="left" rowspan="1" colspan="1">0.2 (0.4)</td>
<td align="left" rowspan="1" colspan="1">0.05</td>
<td align="left" rowspan="1" colspan="1">0.3 (0.7)</td>
<td align="left" rowspan="1" colspan="1">NS</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
</tbody>
</table>
</alternatives><table-wrap-foot><fn id="nt103"><p>*CAARS: Conners Adult Attention Rating Scale.</p></fn><fn id="nt104"><p>*SWAN: Strengths &amp; Weaknesses of ADHD Symptoms &amp; Normal-Behaviors.</p></fn><fn id="nt105"><p>*NS: not significant.</p></fn></table-wrap-foot></table-wrap>
<p><xref ref-type="table" rid="pone-0063023-t003">Table 3</xref> shows the measures of DAT availability obtained prior to and after 1 year of MPH for the ADHD participants and for the controls for the baseline and follow-up measures. The repeated measures ANOVA showed that DAT availability in caudate and putamen did not differ between scans (baseline vs. follow-up) neither in the controls nor in the ADHD participants. In contrast the repeated measures differed in the ventral striatum in the ADHD participants was on average 24% higher than that at the baseline (the standard error of this relative percentage change is 32%, <italic>p</italic>&lt;0.01) but the difference was not significant in controls (<xref ref-type="fig" rid="pone-0063023-g001">Figure 1</xref>).</p>
<fig id="pone-0063023-g001" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0063023.g001</object-id><label>Figure 1</label><caption>
<title>Averaged dopamine transporter availability images.</title>
<p>Averaged dopamine transporter availability images of ADHD (n = 18) and control (n = 11) subjects prior to and after 12 months oral MP treatment as well as baseline and 12 follow up scans of control subjects. The images are scaled with respect to the maximum value (distribution volume ratio) obtained on the ADHD subjects at follow up visit and presented using the rainbow scale. Red represents the highest value and dark violet represents the lowest value.</p>
</caption><graphic mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0063023.g001" position="float" xlink:type="simple"/></fig><table-wrap id="pone-0063023-t003" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0063023.t003</object-id><label>Table 3</label><caption>
<title>Measures [mean (SD)] of dopamine transporter availability (BP<sub>ND</sub>) of control subjects at baseline (BL) and 12 months follow-up (FU) and ADHD subjects prior to (BL) and after 12 months oral methylphenidate treatment (FU).</title>
</caption><alternatives><graphic id="pone-0063023-t003-3" position="float" mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0063023.t003" xlink:type="simple"/>
<table><colgroup span="1"><col align="left" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/></colgroup>
<thead>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td colspan="2" align="left" rowspan="1">ADHD subjects</td>
<td align="left" rowspan="1" colspan="1"><italic>P</italic> Value</td>
<td colspan="2" align="left" rowspan="1">Control subjects</td>
<td align="left" rowspan="1" colspan="1"><italic>P</italic> Value</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">BL</td>
<td align="left" rowspan="1" colspan="1">FU</td>
<td align="left" rowspan="1" colspan="1">BL vs. FU</td>
<td align="left" rowspan="1" colspan="1">BL</td>
<td align="left" rowspan="1" colspan="1">FU</td>
<td align="left" rowspan="1" colspan="1">BL vs. FU</td>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Caudate</td>
<td align="left" rowspan="1" colspan="1">0.8 (0.11)</td>
<td align="left" rowspan="1" colspan="1">0.90 (0.2)</td>
<td align="left" rowspan="1" colspan="1">NS</td>
<td align="left" rowspan="1" colspan="1">0.76 (0.09)</td>
<td align="left" rowspan="1" colspan="1">0.71 (0.1)</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Putamen</td>
<td align="left" rowspan="1" colspan="1">0.95 (0.11)</td>
<td align="left" rowspan="1" colspan="1">1.05 (0.19)</td>
<td align="left" rowspan="1" colspan="1">NS</td>
<td align="left" rowspan="1" colspan="1">0.88 (0.08)</td>
<td align="left" rowspan="1" colspan="1">0.88 (0.1)</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Ventral Striatum</td>
<td align="left" rowspan="1" colspan="1">0.79 (0.15)</td>
<td align="left" rowspan="1" colspan="1">0.96 (0.2)</td>
<td align="left" rowspan="1" colspan="1">0.01</td>
<td align="left" rowspan="1" colspan="1">0.80 (0.12)</td>
<td align="left" rowspan="1" colspan="1">0.89 (0.12)</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
</tbody>
</table>
</alternatives><table-wrap-foot><fn id="nt106"><p>Comparison between BL and FU scans.</p></fn></table-wrap-foot></table-wrap>
<p>The comparison of DAT availability between groups (ADHD vs. Controls) for the baseline scan did not differ (<xref ref-type="table" rid="pone-0063023-t004">Table 4</xref>). It was significantly higher at the 1-year follow-up scan in the caudate (<italic>p</italic>&lt;0.007) and the putamen (<italic>p</italic>&lt;0.005) of the ADHD participants than in the controls. There were no differences at follow up on DAT availability between the groups in the ventral striatum.</p>
<table-wrap id="pone-0063023-t004" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0063023.t004</object-id><label>Table 4</label><caption>
<title>Measures [mean (SD)] of dopamine transporter availability (BP<sub>ND</sub>) of control subjects at baseline (BL) and 12 months follow-up (FU) and ADHD subjects prior to (BL) and after 12 months oral methylphenidate treatment (FU).</title>
</caption><alternatives><graphic id="pone-0063023-t004-4" position="float" mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0063023.t004" xlink:type="simple"/>
<table><colgroup span="1"><col align="left" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/><col align="center" span="1"/></colgroup>
<thead>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td colspan="2" align="left" rowspan="1">FU scans</td>
<td align="left" rowspan="1" colspan="1"><italic>P</italic> Value</td>
<td colspan="2" align="left" rowspan="1">BL scans</td>
<td align="left" rowspan="1" colspan="1"><italic>P</italic> Value</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">ADHD</td>
<td align="left" rowspan="1" colspan="1">Control</td>
<td align="left" rowspan="1" colspan="1">ADHD vs. Controls</td>
<td align="left" rowspan="1" colspan="1">ADHD</td>
<td align="left" rowspan="1" colspan="1">Control</td>
<td align="left" rowspan="1" colspan="1">ADHD vs. Controls</td>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Caudate</td>
<td align="left" rowspan="1" colspan="1">0.90 (0.2)</td>
<td align="left" rowspan="1" colspan="1">0.71 (0.1)</td>
<td align="left" rowspan="1" colspan="1">0.007</td>
<td align="left" rowspan="1" colspan="1">0.8 (0.11)</td>
<td align="left" rowspan="1" colspan="1">0.76 (0.09)</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Putamen</td>
<td align="left" rowspan="1" colspan="1">1.05 (0.19)</td>
<td align="left" rowspan="1" colspan="1">0.88 (0.1)</td>
<td align="left" rowspan="1" colspan="1">0.005</td>
<td align="left" rowspan="1" colspan="1">0.95 (0.11)</td>
<td align="left" rowspan="1" colspan="1">0.88 (0.08)</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Ventral Striatum</td>
<td align="left" rowspan="1" colspan="1">0.96 (0.2)</td>
<td align="left" rowspan="1" colspan="1">0.89 (0.12)</td>
<td align="left" rowspan="1" colspan="1">NS</td>
<td align="left" rowspan="1" colspan="1">0.79 (0.15)</td>
<td align="left" rowspan="1" colspan="1">0.80 (0.12)</td>
<td align="left" rowspan="1" colspan="1">NS</td>
</tr>
</tbody>
</table>
</alternatives><table-wrap-foot><fn id="nt107"><p>Comparison of dopamine transporter availability (BP<sub>ND</sub>) between groups (ADHD vs. Controls) for the BL scans and for the FU scans.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s4">
<title>Discussion</title>
<p>This study shows that long-term treatment with MPH up-regulated DAT availability in the ventral striatum, providing the first evidence of DAT neuroplasticity after long-term treatment with a clinically relevant dose of MPH in the human brain. DAT is responsible for recycling DA from the extracellular space into the pre-synaptic terminal <xref ref-type="bibr" rid="pone.0063023-Gulley1">[14]</xref>. The DAT levels in the membrane are regulated by the concentration of extracellular DA; DAT levels decrease when extracellular DA is low and increase when extracellular DA is high <xref ref-type="bibr" rid="pone.0063023-Zahniser1">[15]</xref>. Repeated administration of a variety of stimulant drugs (e.g., cocaine, amphetamine) has been shown to change DAT expression in preclinical models. These studies show different results for stimulant drugs that are DAT blockers, such as cocaine, from those of stimulant drugs that are DA releasers, such as methamphetamine and amphetamine. Cocaine, which like MPH blocks DAT, temporarily increases the expression of DAT after chronic administration <xref ref-type="bibr" rid="pone.0063023-Koff1">[16]</xref>. Indeed humans, postmortem and imaging studies have shown increased DAT (20–50%) in the striatum of chronic cocaine abusers when compared with controls <xref ref-type="bibr" rid="pone.0063023-Little1">[17]</xref>, <xref ref-type="bibr" rid="pone.0063023-Malison1">[18]</xref>. These increases are positively correlated with the severity of cocaine use and can recover with detoxification. This is consistent with an adaptation response to compensate for chronic increases in extracellular DA secondary to repeated cocaine intoxication.</p>
<p>Similarly, subchronic MPH treatment results in an attenuation of DA release in rodents, which was ascribed to either an upregulation of DAT or enhanced autoreceptor sensitivity <xref ref-type="bibr" rid="pone.0063023-Sproson1">[19]</xref>. In ADHD adults we also recently showed that long-term treatment with clinical doses of MPH resulted in an attenuation of MPH induced DA increases in the striatum <xref ref-type="bibr" rid="pone.0063023-Volkow4">[20]</xref>. Similar to treatment with other DAT blockers the increased expression of DAT in the striatum after long term MPH treatment in this study might reflect an accelerated clearance of synaptic DA in response to chronic DA enhancement from long-term exposure to MPH <xref ref-type="bibr" rid="pone.0063023-Gulley1">[14]</xref>. In this study the clinical measures at follow-up were obtained while subjects were under the influence of the medication (MPH), which explains the significant improvement in all of the clinical symptoms. However it would have been desirable to test them also when they were not under the effects of MPH (i.e. in the morning prior to medication intake) to assess if the upregulation of DAT after chronic MPH was associated with impaired performance.</p>
<p>Few studies have investigated the behavioral consequences of long-term exposure to MPH and the extent to which chronic exposure results in tolerance is still a matter of debate. Indeed, studies on the chronic effects of MPH have reported conflicting results with some documenting sensitization to the locomotor effects of MPH <xref ref-type="bibr" rid="pone.0063023-Crawford1">[21]</xref>, others tolerance <xref ref-type="bibr" rid="pone.0063023-McNamara1">[22]</xref>, and others no changes <xref ref-type="bibr" rid="pone.0063023-Kuczenski1">[23]</xref>. The reasons for these discrepancies are likely to reflect differences in doses, conditions of drug administration and age of the animals. The findings on the effects of chronic MPH (using doses that are therapeutically relevant), on the rewarding effects of drugs of abuse are also not consistent. Whereas one study reported that MPH pretreatment in preadolescence or in adulthood decreased the rewarding effects of cocaine (as assessed by conditioned place preference) later in life <xref ref-type="bibr" rid="pone.0063023-Andersen1">[24]</xref>, two others <xref ref-type="bibr" rid="pone.0063023-Brandon1">[25]</xref>, <xref ref-type="bibr" rid="pone.0063023-Schenk1">[26]</xref> reported that chronic MPH treatment in adolescence or in adulthood enhanced cocaine's reinforcing effects (as assessed by cocaine self-administration and the latency for acquisition of self-administration). These behavioral changes are likely to reflect in part changes in brain DA activity since DA is involved both in locomotor activity as well as the rewarding effects of cocaine. In this study, even though the ADHD subjects did not show more hyperactivity as compared to the controls prior to MPH treatment, the SWAN scores for the hyperactivity/impulsivity dimension in the ADHD subjects were significantly reduced after long-term MPH treatment.</p>
<p>We hypothesize that the increased DAT availability is a compensation for the pharmacologic occupancy of DAT (estimated to be greater than 50%) <xref ref-type="bibr" rid="pone.0063023-Volkow5">[27]</xref> and the increased elevations in synaptic DA. The results of this prospective treatment study and theory of DAT plasticity suggest that some of the discrepancies in the literature regarding the levels of DAT in ADHD may reflect treatment histories. Note also that in some instances the results are confounded by measuring DAT while the pharmacological effects of MPH are still present <xref ref-type="bibr" rid="pone.0063023-Krause1">[28]</xref>, which would result in lower measures of DAT availability secondary to DAT occupancy by MPH. Thus we postulate that decreased synaptic levels of DA might drive the changes in DAT levels reported in ADHD (which vary to maintain equilibrium of synaptic DA levels in brain).</p>
<sec id="s4a">
<title>Study Limitations</title>
<p>1. This study was designed as an open MPH treatment protocol. Ideally it would have been desirable to have a have a “double-blind, drug-placebo randomized” design, which would have allowed us to assess the changes in DAT measures in ADHD subjects who are not receiving medication. 2. It would have also been ideal to have a control group that also received 12 months of medication to assess if adaptation changes differ between the controls and the ADHD subjects. However, these other designs raise ethical issues, which make them inappropriate. The current design was constructed to address if there are changes in DAT with long-term treatment but did not evaluate the duration of the DAT increases once medications was discontinued. 3. Several participants were female and in them the DAT measures may be confounded by the time of the menstrual cycle at which the studies were performed, which we did not controls nor did we measure gonadal hormones. 4. Since we did not obtain clinical measures for the follow up scans while subjects were not under the acute effects of MPH it is not possible for us to test whether the increases in DAT observed with chronic treatment were associated with worsening of inattention.</p>
</sec></sec><sec id="s5">
<title>Conclusion</title>
<p>Here we report an upregulation of DAT secondary to long-term treatment with stimulant medication, which could result in further decreases in dopaminergic signaling when the individual with ADHD is not medicated (i.e. over weekend holidays). To the extent that reduced DA release in ADHD is associated with inattention <xref ref-type="bibr" rid="pone.0063023-Volkow6">[29]</xref>, this could result in more severe inattention and the need for higher doses of medication. Though there is limited literature on loss of efficacy of stimulant medication with long-term treatment this is an area that merits further investigation. Studies are necessary to test if DAT down-regulate after MPH discontinuation and the time necessary for their recovery.</p>
</sec></body>
<back>
<ack>
<p>The PET study was carried out at Brookhaven National Laboratory. The recruitment and psychological screening were at University of California –Irvine, Mount Sinai School of Medicine and Duke University. We thank David Schlyer and Michael Schueller for cyclotron operations; Donald Warner, David Alexoff and Paul Vaska for PET operations; Colleen Shea, Youwen Xu, Lisa Muench and Payton King for radiotracer preparation and analysis, Karen Apelskog-Torres for study protocol preparation, and Joseph English, Barbara Hubbard and Pauline Carter for patient care.</p>
</ack>
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