Ex Parte GoetzDownload PDFPatent Trial and Appeal BoardAug 11, 201713750832 (P.T.A.B. Aug. 11, 2017) Copy Citation United States Patent and Trademark Office UNITED STATES DEPARTMENT OF COMMERCE United States Patent and Trademark Office Address: COMMISSIONER FOR PATENTS P.O.Box 1450 Alexandria, Virginia 22313-1450 www.uspto.gov APPLICATION NO. FILING DATE FIRST NAMED INVENTOR ATTORNEY DOCKET NO. CONFIRMATION NO. 13/750,832 01/25/2013 Steven M. Goetz 1023-928US02/P0035986USC7 6961 71996 7590 08/15/2017 SHUMAKER & SIEFFERT , P.A 1625 RADIO DRIVE , SUITE 100 WOODBURY, MN 55125 EXAMINER LEVICKY, WILLIAM J ART UNIT PAPER NUMBER 3762 NOTIFICATION DATE DELIVERY MODE 08/15/2017 ELECTRONIC Please find below and/or attached an Office communication concerning this application or proceeding. The time period for reply, if any, is set in the attached communication. Notice of the Office communication was sent electronically on above-indicated "Notification Date" to the following e-mail address(es): pairdocketing @ ssiplaw.com medtronic_neuro_docketing @ cardinal-ip.com PTOL-90A (Rev. 04/07) UNITED STATES PATENT AND TRADEMARK OFFICE BEFORE THE PATENT TRIAL AND APPEAL BOARD Ex parte STEVEN M. GOETZ (Applicant: MEDTRONIC, INC.)1 Appeal 2016-003704 Application 13/750,832 Technology Center 3700 Before ERIC B. GRIMES, JEFFREY N. FREDMAN, and DAVID COTTA, Administrative Patent Judges. GRIMES, Administrative Patent Judge. DECISION ON APPEAL This is an appeal under 35 U.S.C. § 134(a) involving claims relating to modeling the effect of therapy delivered to one anatomical structure on a second anatomical structure, which have been rejected as obvious. We have jurisdiction under 35 U.S.C. § 6(b). We reverse. STATEMENT OF THE CASE “Medical devices, such as electrical stimulators, may be used in different therapeutic applications. . . . Electrical stimulation therapy may 1 Appellant identifies the Real Party in Interest as Medtronic, Inc. (Appeal Br. 3.) Appeal 2016-003704 Application 13/750,832 include stimulation of nerve, muscle, or brain tissue, or other tissue within a patient.” (Spec. 13.) Claims 1—22 are on appeal. Claim 1 is illustrative and reads as follows (emphasis added): Claim 1: A method comprising: defining, using a processor, a model of a network of interconnected anatomical structures of a patient, wherein the model of the network includes at least one link indicating a functional relationship between at least a first anatomical structure and a second anatomical structure, the model further indicating at least one stimulation induced side effect associated with therapy delivered to at least one of the first anatomical structure or the second anatomical structure; sensing activity in at least the first anatomical structure, the activity occurring in response to therapy delivered to the second anatomical structure; adjusting, based on the sensed activity, at least one of: the functional relationship between the first anatomical structure and the second anatomical structure, or the therapy delivered to the second anatomical structure. Claims 10 and 19, the only other independent claims, are directed to a system for carrying out the method of claim 1. Both of claims 10 and 19 require a model “indicating at least one stimulation induced side effect associated with therapy delivered to at least one of the first anatomical structure or the second anatomical structure.” (Appeal Br. 19, 21.) DISCUSSION The Examiner has rejected claims 1—20 under 35 U.S.C. § 103(a) as obvious based on John2 and Krystal3 (Final Action 3). The Examiner has 2 US 2006/0217781 Al; published Sept. 28, 2006 3 US 5,626,627; issued May 6, 1997 2 Appeal 2016-003704 Application 13/750,832 rejected claims 21 and 22 under 35 U.S.C. § 103(a) as obvious based on John, Krystal, and Garg4 (Final Action 8). The same issue is dispositive for both rejections. The Examiner finds that John teaches a method and system meeting all of the limitations of the independent claims on appeal except that “John does not disclose the model further indicating at least one stimulation induced side effect associated with therapy delivered to at least one of the first anatomical structure or the second anatomical structure.” (Final Action 3—4.) The Examiner finds that Krystal “teaches that it is known to use a model indicating stimulation induced side effects associated with therapy delivered as set forth in Column 3 lines 36-41 to provide optimizing the administration of therapy by performing a risk to benefit analysis.” (Id. at 4.) The Examiner concludes that it would have been obvious “to modify the method as taught by John, with a model indicating stimulation induced side effects associated with therapy delivered as taught by Krystal et al., since such a modification would provide the predictable results of optimizing the administration of therapy by performing a risk to benefit analysis.” (Id.) Appellant argues that “Krystal does not disclose indicating at least one stimulation induced side effect associated with therapy delivered to at least one of a first anatomical structure or a second anatomical structure,” but rather “discloses electroconvulsive therapy (ECT), in which ‘two stimulus 4 US 2008/0270188 Al; published Oct. 30, 2008 3 Appeal 2016-003704 Application 13/750,832 electrodes are applied to the patient’s scalp’ and ‘an electric current is applied between these electrodes.’” (Appeal Br. 7.) Appellant also argues that “the Examiner has not established that one having ordinary skill in the art at the time of Appellant’s disclosure would have had an apparent reason to modify the model disclosed by John in view of the model disclosed by Krystal.” {Id. at 8.) Specifically, Appellant argues that Krystal fails to disclose that these models indicate any interaction between brain structures. Thus, one having ordinary skill in the art would not have looked to the models disclosed by Krystal that are used to predict “associated side-effects for a given seizure” to modify the method disclosed by John, which uses information about interactions between brain structures “to guide the adjustment of neurostimulation parameters.” {Id.) Appellant argues that “[t]he problems addressed in Krystal are inapplicable to the system of John” because “the stimulation in Krystal presents a situation in which achieving the desired therapeutic result — a seizure — also causes a side effect” whereas “[tjhere is no indication in John that achieving the desired therapeutic effect, such as alleviating pain or preventing or disrupting a seizure, is associated with or causes a concurrent side-effect.” {Id. at 9.) We agree with Appellant that the Examiner has not shown that the method of claim 1 would have been obvious to a person of ordinary skill in the art based on John and Krystal. John discloses that “neurostimulators are used to treat a wide variety of medical conditions including movement disorders, epilepsy, pain, depression, and other disorders of the central nervous system.” (John 14.) John states that past studies showed that 4 Appeal 2016-003704 Application 13/750,832 “stimulation caused modulation of activity in several areas distal from the site of stimulation.” {Id. 1 6.) John states that its invention recognizes, addresses, and utilizes the interactions and connectivity that exists between different brain regions of a brain network to provide improved treatment. ... For example, linking rules can be used to increase inhibitory stimulation at a first area when stimulation is provided at a second area, wherein the stimulation at second area has [been] shown to produce unwanted increase in the activity of the first area. {Id. 1 8.) More specifically, John discloses that [w]hen stimulating brain networks the stimulation protocols of current invention can incorporate these interactions in order to more accurately and efficiently provide treatment, by differentially modulating different brain regions in an intended fashion. For example, linking rules can be used during neuro stimulation treatment to adjust for one or more interactions between brain structures. {Id. 1128.) John also discloses that information about the brain networks can be created using modeling methods . . . , where, for example, a relevant brain network can be identified [] as the regions (reflected as imaged voxels of a neural region) which show covariance with a characteristic of the disorder. . . . Accordingly, a brain network may be identified as a circuit which is established by imaging methods as correlated with at least one characteristic of a mood, anxiety, or other psychiatric or neurological disorder. {Id. 1106.) Thus, John discloses a method in which “linking rules” are used to adjust the parameters of neurostimulation treatment of a particular patient, during the treatment, depending on the effect of the neurostimulation of one 5 Appeal 2016-003704 Application 13/750,832 brain region on the activity of a second brain region. John discloses that modeling methods can be used to identify regions of the brain that are associated with “mood, anxiety, or other psychiatric or neurological disorder.” {Id.) Krystal discloses an “electroconvulsive therapy (ECT) treatment including methodology for simultaneously and accurately predicting seizure adequacy during treatment.” (Krystal 1:14—17.) “In ECT two stimulus electrodes are applied to the patient’s scalp. An electric current is applied between these electrodes, only a fraction of which reaches the brain, the rest being deflected by the skin and skull.” {Id. at 1:39-42.) “The goal of ECT therapy is the induction of an electrical response in the neural tissue of the patient’s brain. This appears on an electro encephalograph (EEG) instrument... as a pattern similar to a typical epileptic grand mal seizure pattern.” {Id. at 1:48—52.) Krystal states that “there is a relationship between the beneficial effects and adverse effects associated with ECT treatments and the degree to which the stimulus intensity exceeds the seizure threshold (the amount of electrical charge necessary just barely to cause a seizure). This is termed relative stimulus intensity.” {id. at 2:36-41.) Krystal states that its invention “uses the EEG data, which is routinely recorded noninvasively from the scalp during ECT treatments, for the prediction of ECT seizure adequacy in terms of relative stimulus intensity, therapeutic outcome, and adverse cognitive effects.” {Id. at 3:5—9.) That is, “models are developed using data where the treatment relative stimulus intensity, therapeutic potency, and associated adverse effects are known and 6 Appeal 2016-003704 Application 13/750,832 these models are then used for the prediction of the relative stimulus intensity, expected therapeutic response, and associated side-effects for a given seizure.” (Id. at 3:36-41.) Thus, Krystal discloses using data recorded during ECT treatments, in which an electric current is applied via electrodes attached to the patient’s scalp in order to induce a seizure, in order to predict the relative stimulus intensity, expected therapeutic response, and associated side-effects caused by a given seizure. We agree with Appellant that “[t]he problems addressed in Krystal are inapplicable to the system of John.” (Appeal Br. 9.) That is, the adverse cognitive effects, such as memory loss, appears to be due to the seizures themselves. Accordingly, the stimulation in Krystal presents a situation in which achieving the desired therapeutic result — a seizure — also causes a side effect. ... In contrast, John discloses providing therapy with immediate therapeutic effect. . . . There is no indication in John that achieving the desired therapeutic effect... is associated with or causes a concurrent side-effect. (Id.) John’s method, as discussed above, is directed to a method of optimizing the efficacy of neurostimulation therapy by monitoring the effect of the therapy at one brain region on a second brain region and adjusting the therapeutic parameters accordingly. The Examiner has not pointed to any disclosure in John of side effects caused by its neurostimulation treatment. In view of the differences between the therapies applied in John and Krystal, and in view of the different purposes of the modeling discussed in each reference, the Examiner has not provided sufficient reasoning to 7 Appeal 2016-003704 Application 13/750,832 support the conclusion that a person of ordinary skill in the art would have considered it obvious to combine the teachings of the cited references. In response to Appellant’s argument, the Examiner reasoned that John and Krystal are analogous art. (Ans. 4.) Even assuming that John and Krystal are in the same field of endeavor, however, that fact would not be enough to support a prima facie case of obviousness. Rather, the Examiner must identify a reason that would have led a skilled artisan to combine the teachings of the references in the way that the claimed invention does. See KSRInt’l Co. v. Teleflex Inc., 550 U.S. 398, 418-19 (2007) (“[I]t can be important to identify a reason that would have prompted a person of ordinary skill in the relevant field to combine the elements in the way the claimed new invention does.”); Unigene Labs., Inc. v. Apotex, Inc., 655 F.3d 1352, 1360 (Fed. Cir. 2011) (“[0]bviousness requires the additional showing that a person of ordinary skill at the time of the invention would have selected and combined those prior art elements in the normal course of research and development to yield the claimed invention.”). The rejection of claims 21 and 22 under 35 U.S.C. § 103(a) as obvious based on John, Krystal, and Garg relies on John and Krystal would have made obvious the method of claim 1 (Final Action 8), and is also reversed for the reasons discussed above. SUMMARY We reverse both of the rejections on appeal. REVERSED 8 Copy with citationCopy as parenthetical citation